BACKGROUND AND OBJECTIVES

Noncommunicable diseases (NCDs) are chronic conditions requiring health care, education, social and community services, addressing prevention, treatment, and management. This review aimed to summarize and synthesize the available evidence on interventions from systematic reviews of high-burden NCDs and risk factors among school-aged children.

METHODS

The following databases were used for this research: Medline, Embase, The Cochrane Library, and the Campbell library. The search dates were from 2000 to 2021. We included systematic reviews that synthesized studies to evaluate intervention effectiveness in children aged 5 to 19 years globally. Two reviewers independently extracted data and assessed methodological quality of included reviews using the AMSTAR 2 tool.

RESULTS

Fifty studies were included. Asthma had the highest number of eligible reviews (n = 19). Of the reviews reporting the delivery platform, 27% (n = 16) reported outpatient settings, 13% (n = 8) home and community-based respectively, and 8% (n = 5) school-based platforms. Included reviews primarily (69%) reported high-income country data. This may limit the results’ generalizability for school-aged children and adolescents in low- and middle- income countries.

CONCLUSIONS

School-aged children and adolescents affected by NCDs require access to quality care, treatment, and support to effectively manage their diseases into adulthood. Strengthening research and the capacity of countries, especially low- and middle- income countries, for early screening, risk education and management of disease are crucial for NCD prevention and control.

The global burden of noncommunicable diseases (NCDs) is a growing concern. Resulting from a combination of genetic, physiologic, environmental, and behavioral factors, these diseases present a significant burden on individuals, communities, and economic resources, and contribute to premature mortality. Recognizing that not all noncommunicable diseases are classified as chronic conditions, we aim to focus on a subset of chronic NCDs impacting children and adolescents under 19 years of age. Noncommunicable diseases kill 41 million people each year, equivalent to 71% of all deaths globally.1  On a global scale, NCDs cause 24.8% of disability-adjusted life years and 14.6% of deaths among children and adolescents.2  Eighty percent of NCD-related deaths occur in low -and middle-income countries (LMICs), and young people under the age of 20 (0–19 years) account for more than one-third of the world’s population,3  with 40% of children aged 5 to 14 living in India, China, Brazil and Mexico.4  NCDs disproportionately impact individuals with low socioeconomic status and are an important cause of medical impoverishment.57 

Evidence suggests that a significant number of the risk factors for NCDs during adulthood can be mitigated with appropriate approaches across the life cycle, including preconception, pregnancy, parenting, childhood, and adolescence.8  Although NCDs have major impacts on global mortality and morbidity in adulthood, they also have significant impact on children and adolescents.9  A life course approach to preventive efforts addressing NCDs and their risk factors during childhood and adolescence may be more cost-effective and the best option for reducing the long-term global burden of disease.10 

Children affected by NCDs often face lifelong challenges in managing and treating their conditions. Chronic health conditions in children are multifaceted and involve ongoing care from their families, schools, and communities. Primary prevention prioritizing targeted health-promotion campaigns addressing risk factors, prevention, and management of NCDs for youth and families in schools and communities are instrumental in managing chronic illness. Cardiovascular disease accounts for 17.9 million NCD-related deaths annually, followed by 9.3 million from cancer, 4.1 million due to respiratory disease, and 1.5 million from diabetes.1  Eighty percent of premature NCD-related deaths are caused from just these 4 groups of diseases. Given the high burden of NCDs in adulthood, it is vital to start addressing and managing these conditions during childhood and adolescence.

A recent systematic review assessed the impact of dietary interventions, physical activity, and behavioral activity in preventing and managing childhood and adolescent obesity in HIC and LMICs.11  The authors found the existing evidence favored a combination of interventions, such as diet along with exercise and exercise along with behavioral therapy, for obesity prevention. They also noted a significant gap in obesity prevention and management studies from LMICs. Previous reviews have focused on NCDs in adults, and very little evidence synthesis has been conducted in regard to the interventions that start during early childhood, adolescence, and continue during adulthood. NCDs have significant impact on children and adolescents across the life-course. The 2030 Agenda for Sustainable Development aims to reduce premature mortality from NCDs by one-third through prevention and treatment (Sustainable Development Goals target 3.4).12  Understanding NCD management interventions and the gaps that exist globally are essential to achieving this target. The Lancet Non communicable Diseases and Injuries Poverty Commission analyzed the pattern of the poverty-related NCDI burden, and identified priority interventions to address these NCDs and injuries.13  The 2019 global burden of diseases and injuries study provides comprehensive data on causes of death, diseases, injuries, and risk factors affecting the world’s population.14,15  Among children aged 5 to 14 years old globally, the leading causes of years of life lost due to NCDs are congenital heart disease, malignant neoplasms, brain cancer, acute lymphoid leukemia, cirrhosis and other chronic liver diseases, idiopathic epilepsy and sickle cell disease. Years lost due to disability among children aged 5 to 14 include, migraine, asthma, atopic dermatitis, low back pain, hearing loss, idiopathic epilepsy, and endocrine, metabolic, blood, and immune disorders. In this review we highlight several of these top priority NCDs that are high-risk for severe complications and amenable to interventions during childhood and adolescence.

This review is part of a series of systematic reviews focused on the spectrum of health conditions and interventions targeted toward school-aged children; here we specifically focused on interventions addressing a selected set of high burden neglected NCDs not covered in the other papers that make up this supplement (Table 1). The term “neglected” in this context refers to disorders in various settings, particularly in LMICs where the research and implementation of programs targeted at these conditions are limited. We sought to cover a wide range of conditions and interventions that fall within this category, including asthma, epilepsy, rheumatic fever and rheumatic heart disease, sickle cell disease, type 1 diabetes, and childhood cancers, as well as interventions targeting indoor air pollution, outdoor air pollution, and other environmental contaminants (Supplemental Information). It is well understood that this list does not capture the full extent of conditions or risk factors impacting our age group of interest. Given the scope of the subject matter and the existing systematic reviews on these topics, we conducted a systematic review of systematic reviews to synthesize all of the currently available evidence to better understand and answer the questions: (1) what NCD interventions are currently being delivered to school-aged children? and (2) how effective are these interventions?

TABLE 1

List of Key Interventions Included in Review

Key InterventionsHealth PromotionPreventionChronic Care
Mass awareness, and interventions for air pollution and environmental contaminants (eg, smoking cessation, improved stoves) √ — — 
National awareness campaigns and education on early warning signs and symptoms of cancer √ — — 
Training programs for health care providers for early detection of cancer √ — — 
Treatment of acute pharyngitis in children to prevent rheumatic fever and rheumatic heart disease — √ — 
Educational programs to reduce asthma exacerbations and hospitalizations — √ — 
Educational programs to reduce sickle cell crisis (eg, vaso-occlusive crises) — √ — 
Management of epilepsy, including acute stabilization and long-term management with antiepileptics — — √ 
Management of acute exacerbations of asthma, using systemic steroids, inhaled β-agonists, and, if indicated, oral antibiotics and oxygen therapy — — √ 
Management of sickle cell, and standard prophylaxis against bacterial infections and malaria — — √ 
Management of type 1 diabetes, including glycemic control — — √ 
Key InterventionsHealth PromotionPreventionChronic Care
Mass awareness, and interventions for air pollution and environmental contaminants (eg, smoking cessation, improved stoves) √ — — 
National awareness campaigns and education on early warning signs and symptoms of cancer √ — — 
Training programs for health care providers for early detection of cancer √ — — 
Treatment of acute pharyngitis in children to prevent rheumatic fever and rheumatic heart disease — √ — 
Educational programs to reduce asthma exacerbations and hospitalizations — √ — 
Educational programs to reduce sickle cell crisis (eg, vaso-occlusive crises) — √ — 
Management of epilepsy, including acute stabilization and long-term management with antiepileptics — — √ 
Management of acute exacerbations of asthma, using systemic steroids, inhaled β-agonists, and, if indicated, oral antibiotics and oxygen therapy — — √ 
Management of sickle cell, and standard prophylaxis against bacterial infections and malaria — — √ 
Management of type 1 diabetes, including glycemic control — — √ 

—, not applicable.

A systematic search for literature published from January 1, 2000 to March 28, 2021 was conducted in Medline, Embase, Cochrane Database for Systematic Reviews, and the Campbell library using medical subject heading terms and keywords. An individualized search was run for each condition of interest using condition-specific terms, such as “asthma,” “anti-asthmatic agents,” and “bronchial hyperactivity;” and population related words, such as “children,” “adolescents,” and “school-age;” and intervention related words such as “program, education,” “treatment,” “therapeutics,” etc. The complete search syntax used for the Medline database is included in Supplemental Information. This systematic review has been designed in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols and registered within the International Prospective Register of Systematic Reviews (PROSPERO # CRD42020219910).16 

Systematic reviews that met the eligibility criteria were those reporting pooled effect estimates on interventions delivered to children aged 5 to 14.9 years in high-income (HIC) and low- and middle-income countries (LMIC) for the following chronic disorders: asthma, epilepsy, rheumatic fever and rheumatic heart disease, sickle cell disease, type 1 diabetes, and childhood cancers. The primary setting of interest was LMICs, though we recognized that data are limited in these settings. As such, we sought to include relevant evidence from HICs. This approach is consistent with prior reviews of evidence in emerging areas, such as adolescent health. Interventions targeted at reducing exposure to environmental toxins that addressed one of following: indoor air pollution, outdoor air pollution, or other environmental contaminants targeted at care givers and parents were also included. Eligible interventions targeted either (1) health promotion, (2) prevention, (3) chronic care, (4) curative treatment and key outcomes of interest that were related to child development, morbidity, and mortality. While our primary focus is on late childhood and school age (5–9.9 years) and early adolescence (10–14.9 years), we included reviews that reported on interventions delivered to children and adolescents between the ages 5 and 19 if most of the sample fell within our target age range. Included systematic reviews used comparison arms that were either standard arm or usual care, placebo, or no intervention controls. Reviews of drug trials comparing the efficacy of, and/or side effects of 2 different but similar class of drugs for the purpose of promoting 1 medication over the other were excluded.

All identified indexed records were downloaded into EndNote software and duplicates were removed. Titles and abstracts were screened for relevance by a single reviewer, and all full text of potentially relevant publications were then screened in duplicate with reasons for exclusion noted at this stage. Data and information from publications that met the inclusion criteria were extracted in duplicate into a standardized form. Key variables regarding authors, publication year, setting, target population, study design, intervention descriptions, and pooled estimates (eg, risk ratios [RR], odds ratios [OR], and mean differences [MD]) from meta-analyses were extracted by 2 reviewers. The extracted data were compared, and any inconsistencies were resolved through discussion or by a third reviewer if needed. The quality of the systematic reviews was evaluated with a tool for the assessment of multiple systematic reviews (AMSTAR 2).17 

The initial electronic search yielded 19 015 citations from indexed databases, with most being excluded after title and abstract screening as they did not meet the eligibility criteria outlined in the PRISMA flow diagram (Supplemental Information). Of the 865 potentially relevant full texts assessed, 50 were identified as eligible for this review.1865  Two of the systematic reviews included duplicate data (ie, analysis from the same set of studies that 2 other systematic reviews included).29  Since these reviews met our inclusion criteria, we considered them as part of our total count of included reviews, however since the data are already presented from the formerly extracted reviews, we did not present the duplicated data. The characteristics of all included systematic reviews are summarized in Table 3.

Though we did not limit our results by geographical location, our focus was on collating evidence from LMIC settings, however only 12.5% (n = 6) of included reviews reported on evidence exclusively from LMIC. Most reviews, 69% (n = 33), reported on evidence from studies mainly conducted in HIC settings, and 19% (n = 9) of reviews did not report the geographical location of included studies.

Interventions were categorized into the following 3 groups: (1) health promotion, which included programs targeted at improving indoor and outdoor air pollution and reducing exposure to environmental contaminants; (2) prevention, which included treatment of acute pharyngitis to prevent rheumatic fever and rheumatic heart disease, educational programs for self-management of asthma to reduce exacerbations, and hospitalizations; and (3) chronic care, which is the management of asthma, epilepsy, RHD, sickle cell, and type 1 diabetes.

We broadly categorized interventions into those delivered through community-based, school-based, home-based, and hospital-based and outpatient- based platforms. Overall, a significant portion of reviews did not report the delivery platform, of those that reported, 27% (n = 16) reported outpatient settings, 13% (n = 8) home-based, 15% (n = 9) hospital-based, 13% (n = 8) community-based, and 8% (n = 5) in school-based platforms.

Asthma is a chronic respiratory condition characterized by bronchoconstriction, inflammation, and hypersecretion causing limitations in airflow and is one of the most common chronic conditions among children. Managing asthma includes adequate self-management, education regarding treatment and triggers to avoid, and how to manage symptoms.34  We included 19 systemic reviews of asthma interventions.

Interventions included education that addressed self-management, relaxation therapy, and massage therapy; the reported outcomes were pulmonary function (Supplemental Information), frequency of emergency department visits, and hospitalizations.

A recent systematic review looked at comprehensive community-based interventions with 2 or more components for improving asthma outcomes in children. A wide variety of interventions were included in this review, such as community involvement (eg, awareness campaigns, neighborhood support, etc), asthma self-management education, and home environmental assessment (ie, home visits for trigger assessments with or without remediation supplies). All of the studies included were conducted in the United States, aside from 1 in Australia. The authors found that multicomponent asthma programs were associated with significant reductions in asthma-related emergency department visits (OR, 0.26, 95% confidence interval [CI], 0.20 to 0.35), and hospitalizations (OR 0.24, 95% CI, 0.15 to 0.38) (Table 2).18  Another targeted systematic review on school-based self-management interventions for asthma showed improvement in outcomes, such as frequency of hospitalizations with a standard mean difference (SMD) and 95% CI of −0.19, (−0.35 to −0.04), and a reduction in the frequency of emergency department visits (OR 0.70, 95% CI, 0.53 to 0.92).30 

TABLE 2

Effect Estimates From Systematic Reviews

DomainAuthors, yearInterventionComparatorNumber of ParticipantsOutcomeMeasureEffect estimate (95% CI)
Asthma        
 Zhong et al, 201727  Educational intervention; self-management techniques Alternate education or no education 1937 Quality of life MD 0.70 (−0.29 to 1.6) 
 Zhong et al, 201727  Educational intervention; self-management techniques Alternate education or no education 1938 Pulmonary function MD −1.36 (−9.98 to 7.26) 
 Yorke et al, 200725  Relaxation therapy Control 56 Pulmonary function MD 31.7 (13.1 to 50.3) 
 Xu et al, 201624  Massage therapy Control 204 Pulmonary function MD 0.04 (−0.15 to 0.24) 
 Xu et al, 201624  Massage therapy Control 204 Pulmonary function- FEV1 MD 0.07 (0.01 to 0.13) 
 Xu et al, 201624  Massage therapy Control 204 Pulmonary function FEV1 or FVC MD 0.06 (0.01 to 0.12) 
 Wu et al, 201723  Massage therapy Control NR Effect on basic treatment RR 1.19 (1.13 to 1.24) 
 Wu et al, 201723  Massage therapy Control NR Pulmonary function SMD 0.83 (0.58 to 1.08) 
 Su et al, 201822  IV magnesium sulfate Control 258 Asthmas-related hospitalizations RR 0.55 (0.31 to 0.95) 
 Su et al, 201822  IV magnesium sulfate Control 128 Pulmonary function MD 1.94 (0.80 to 3.08) 
 Rodrigo et al, 201721  Tiotropium Placebo 1002 Pulmonary function-FEV1 MD 101.90 (66.16 to 137.64) 
 Rodrigo et al, 201721  Tiotropium Placebo 1003 FEV1 measured at end of dose MD 81.71 (42.64 to 120.79) 
 Rodrigo et al, 201520  Omalizumab Placebo 1312 Asthma exacerbations MD −0.35 (−0.59 to - −0.12) 
 Rodrigo et al, 200536  Anticholinergic agents b2 agonists alone 1786 Asthmas-related hospitalizations RR 0.73 (0.63 to 0.85) 
 Riverin et al, 201535  Vitamin D supplemen tation Active control or placebo 378 Asthma exacerbations RR 0.41 (0.27 to 0.63) 
 Mohammed et al, 200733  IV magnesium sulfate Placebo or saline solution 128 Pulmonary function SMD 1.94 (0.80 to 3.08) 
 Mikailov et al, 201332  Adjunctive macrolide use Placebo NR Pulmonary function-FEV1 SMD 0.25 (−0.37 to 0.86) 
 Mikailov et al, 201332  Adjunctive macrolide use among children receiving daily oral cortico steroids Placebo NR Pulmonary function-FEV1 SMD 3.89 (−0.01 to 7.79) 
 Mikailov et al, 201332  Adjunctive macrolide use Placebo NR Decrease in daily corticosteroid dosage SMD −3.45 (−5.79 to −1.09) 
 Lin et al, 201831  Probiotics Placebo 215 Asthma exacerbations RR 1.30 (1.06 to 1.59) 
 Lin et al, 201831  Probiotics Placebo 221 Symptom free days MD 8.47 (−4.80 to 21.75) 
 Kneale et al, 201930  Educational intervention; self-management techniques Control 3833 Frequency of emergency department visits OR 0.70 (0.53 to 0.92) 
 Kneale et al, 201930  Educational intervention; self-management techniques Control 1873 Asthmas-related hospitalizations SMD −0.19 (−0.35 to −0.04) 
 Guevara et al, 200328  Educational intervention; self-management techniques Control 258 Pulmonary function SMD 0.50 (0.25 to 0.75) 
 Guevara et al, 200328  Educational intervention; self-management techniques Control 1114 Frequency of emergency department visits SMD −0.21 (−0.33 to −0.09) 
 Fares et al, 201519  Vitamin D supplemen tation No vitamin D supplementation or placebo 82 Pulmonary function-FEV1 MD 0.54 (−5.28 to 4.19) 
 Zhang et al, 202026  Physical therapy Control 201 FVC MD 4.56 (1.33 to 7.79) 
 Zhang et al, 202026  Physical therapy Control 433 FEV1 MD 1.77 (−0.76 to 4.30) 
 Zhang et al, 202026  Physical therapy Control 103 PEF MD 0.87 (−5.24 to 6.97) 
 Chan et al, 202018  Community-based intervention Control 6611 Asthma-related emergency department visits OR 0.26 (0.20 to 0.35) 
 Chan et al, 202018  Community-based intervention Control 7239 Asthmas-related hospitalizations OR 0.24 (0.15 to 0.38) 
 Chan et al, 202018  Community-based intervention Control 2179 Days with asthma symptoms MD −2.58 (−3.00 to −2.17) 
 Chan et al, 202018  Community-based intervention Control 3181 Nights with asthma symptoms MD −2.14 (−-2.94 to −1.34) 
 Chan et al, 202018  Community-based intervention Control N = 2164 Short-acting asthma medication and bronchodilator use MD 0.28 (0.16 to 0.51) 
 Chan et al, 202018  Community-based intervention Control N = 3961 Asthma action plan uses MD 8.87 (3.85 to 20.45) 
Epilepsy        
 Rezaei et al, 201758  Classic KD at month 6 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.60 (0.55 to 0.65) 
 Rezaei et al, 201758  Classic KD at mo 7 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.52 (0.46 to 0.57) 
 Rezaei et al, 201758  MAD at mo 3 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.47 (0.40 to 0.55) 
 Rezaei et al, 201758  MAD at mo 6 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.42 (−0.35 to 0.50) 
 Lefevre et al, 200057  Ketogenic diet None NR The combined point estimate for the outcome of percentage of patients who became seizure-free 14.9 (7.0 to 24.8) 
 Lefevre et al, 200057  Ketogenic diet None NR Percentage of patients with a greater than 90% reduction in seizures 27.6 (19.9 to 36.5) 
 Lefevre et al, 200057  Ketogenic diet None NR Percentage of patients with a greater than 50% reduction in seizures 44.6 (33.8 to 55.9) 
 Keene et al, 200656  Ketogenic diet None 972 Patients had become seizure-free 15.6 (10.4 to 20.8) 
 Keene et al, 200656  Ketogenic diet None 973 50% reduction in seizure frequency 33.0 (24.3 to 41.8) 
 Elliott et al, 201955  Cannabidiol Placebo NR Seizure freedom RR 6.77 (0.36 to 128.38) 
 Elliott et al, 201955  Cannabidiol Placebo NR Median frequency of monthly seizures with cannabidiol compared with placebo RR −19.8 (27.0 to −12.6) 
 Cao et al, 201954  Adjunctive levetiracetam Placebo 412 50% responder rate RR 1.98(1.49 to 2.63) 
 Cao et al, 201954  Adjunctive levetiracetam Placebo 462 Seizure freedom RR 5.12 (2.09 to 12.51) 
Rheumatic Fever        
 Lennon et al, 200960  Penicillin No treatment 269 Primary prevention of RF with treatment using penicillin in school- and/or community-based programs RR 0.41 (0.23 to 0.70) 
 Altamimi et al, 200959  Newer antibiotics, short duration (Azithro mycin, Clarithro mycin, Cefuroxime) Standard treatment of 10 d of Penicillin 1166 Late clinical recurrence OR 0.95 (0.83 to 1.08) 
 Altamimi et al, 200959  Newer antibiotics, short duration (Azithro mycin, Clarithro mycin, Cefuroxime) Standard treatment of 10 d of Penicillin 1928 Early bacteriological treatment failure OR 1.08 (0.97 to 1.20) 
Sickle cell disease        
 Asnani et al, 201661  Psycho-educational intervention No intervention 113 Sickle cell disease knowledge MD 1.12 (0.72 to 1.52) 
 Rankine-Mullings and Owusu-Ofori, 201764  Penicillin prophylaxis Placebo 28 Incidence of pneumococcal infection OR 0.37 (0.16 to 0.86) 
 Estcourt et al, 201762  Long-term transfusions Standard care 20 Incidence of stroke RR 0.12 (0.03 to 0.49) 
 Estcourt et al, 201762  Long-term transfusions Standard care 173 Incidence of other sickle cell disease-related complications (acute chest syndrome) RR 0.24 (0.12 to 0.48) 
 Estcourt et al, 201762  Long-term transfusions Standard care 207 Incidence of vaso-occlusive crises RR 0.62 (0.46 to 0.84) 
 Frimpong et al, 201863  Chemopro phylaxis (Chloroquine, Mefloquine, Mefloquine artesunate, Proguanil, Pyrimetha mine, Sulfadoxine-pyrimetha mine, Sulfadoxine-pyrimetha mine amodiaquine) Placebo 912 Parasitaemia and/or clinical malaria episodes OR 0.76 (0.591 to 0.97) 
 Saramba et al, 201965  Pharmacological analgesic Placebo 227 Change in rate of pain vaso-occlusive crises (as measured by pain scale) SMD −0.08 (−0.53 to 0.37) 
Type 1 Diabetes        
 Winkley et al, 200645  Psychological intervention Placebo 543 Change in HbA1c (%) MD −0.35 (−0.66 to −0.04) 
 MacMillan et al, 201444  Physical activity and/or sedentary behavior intervention Usual physical activity or sedentary behavior (ie, sitting time) 451 Change in HbA1c (%) MD −0.85 (−1.45 to −0.25) 
 Hampson et al, 200142  Educational and psychosocial interventions No intervention or usual care NR Change in HbA1c (%) MD 0.33 (−0.04 to 0.70) 
 Al Khalifah et al, 201639  Adding metformin Placebo 166 Reduction of HbA1c (%) MD −0.05 (−0.19 to 0.29) 
 Al Khalifah et al, 201639  Adding metformin Placebo 159 Reduced BMI kg/m2 MD −1.46 (−2.54 to 0.38) 
 Al Khalifah et al, 201639  Adding metformin Placebo 274 Diabetes ketoacidosis RR 2.07 (0.47 to 9.0) 
 Armour et al, 200440  Family-directed interventions No intervention, standard care, or less intensive intervention NR Glycated hemoglobin (HbA1c) Overall pooled effect size −0.6 (−1.2 to −0.1) 
 Benkhadra et al, 201741  Real-time continuous glucose monitoring Control NR Glycated hemoglobin (HbA1c) MD −0.039 (0.320 to 0.242) 
 Liu et al, 202043  Structured education Control 1621 Short-term effect on f HbA1c SMD −0.04 (− 0.14 to 0.06) 
 Liu et al, 202043  Structured education Control 1554 medium-term on f HbA1c SMD −0.03 (−0.13 to 0.07) 
 Liu et al, 202043  Structured education Control 1073 long-term effect on HbA1c SMD 0.04 (−0.16 to 0.25) 
 Liu et al, 202043  Structured education Control 555 changes in diabetes self-efficacy SMD −0.17 (−0.33 to 0.00) 
Indoor, outdoor, and environmental contaminants        
 Rosen et al, 201550  Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Usual care and usual care-reduced measurement 681 Change in air quality (air nicotine or PM) SMD −0.18 (−0.34 to −0.03) 
 Rosen et al, 201550  Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Usual care and usual care-reduced measurement 421 Change in air nicotine SMD −0.17 (−0.37 to −0.02) 
 Rosen et al, 201550  Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Usual care and usual care-reduced measurement 340 Change in PM SMD −0.33 (−0.62 to −0.05) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improvement in personal PM SMD 1.18 (1.05 to 1.32) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improvement in personal PM-in Children SMD 1.26 (0.91 to 1.75) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Personal carbon monoxide SMD 0.83 (0.68 to 1.00) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improved kitchen levels of PM SMD 1.57 (1.22 to 2.01) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improved kitchen levels of carbon monoxide SMD 1.03 (0.76 to 1.41) 
 Thakur et al, 201853  Improved biomass cook stoves Open fire, stone fire, clay stove 11 560 Pediatric acute lower respiratory tract infections RR 1.02 (0.84 to 1.24) 
 Thakur et al, 201853  Improved biomass cook stoves Open fire, stone fire, clay stove 11 061 Pediatric severe pneumonia RR 0.88 (0.39 to 2.01) 
 Rosen et al, 201251  Self-help materials, counseling, phone support, medication, biochemical feedback. Usual care or special to the trial related to smoking cessation, or risk to children from smoking or did not receive any information 7053 Parental smoking cessation RR 1.34 (1.05 to 1.71) 
 Nussbaumer-Streit et al, 202048  Educational interventions No intervention 815 Blood lead levels MD −0.03 (−0.13 to 0.07) 
DomainAuthors, yearInterventionComparatorNumber of ParticipantsOutcomeMeasureEffect estimate (95% CI)
Asthma        
 Zhong et al, 201727  Educational intervention; self-management techniques Alternate education or no education 1937 Quality of life MD 0.70 (−0.29 to 1.6) 
 Zhong et al, 201727  Educational intervention; self-management techniques Alternate education or no education 1938 Pulmonary function MD −1.36 (−9.98 to 7.26) 
 Yorke et al, 200725  Relaxation therapy Control 56 Pulmonary function MD 31.7 (13.1 to 50.3) 
 Xu et al, 201624  Massage therapy Control 204 Pulmonary function MD 0.04 (−0.15 to 0.24) 
 Xu et al, 201624  Massage therapy Control 204 Pulmonary function- FEV1 MD 0.07 (0.01 to 0.13) 
 Xu et al, 201624  Massage therapy Control 204 Pulmonary function FEV1 or FVC MD 0.06 (0.01 to 0.12) 
 Wu et al, 201723  Massage therapy Control NR Effect on basic treatment RR 1.19 (1.13 to 1.24) 
 Wu et al, 201723  Massage therapy Control NR Pulmonary function SMD 0.83 (0.58 to 1.08) 
 Su et al, 201822  IV magnesium sulfate Control 258 Asthmas-related hospitalizations RR 0.55 (0.31 to 0.95) 
 Su et al, 201822  IV magnesium sulfate Control 128 Pulmonary function MD 1.94 (0.80 to 3.08) 
 Rodrigo et al, 201721  Tiotropium Placebo 1002 Pulmonary function-FEV1 MD 101.90 (66.16 to 137.64) 
 Rodrigo et al, 201721  Tiotropium Placebo 1003 FEV1 measured at end of dose MD 81.71 (42.64 to 120.79) 
 Rodrigo et al, 201520  Omalizumab Placebo 1312 Asthma exacerbations MD −0.35 (−0.59 to - −0.12) 
 Rodrigo et al, 200536  Anticholinergic agents b2 agonists alone 1786 Asthmas-related hospitalizations RR 0.73 (0.63 to 0.85) 
 Riverin et al, 201535  Vitamin D supplemen tation Active control or placebo 378 Asthma exacerbations RR 0.41 (0.27 to 0.63) 
 Mohammed et al, 200733  IV magnesium sulfate Placebo or saline solution 128 Pulmonary function SMD 1.94 (0.80 to 3.08) 
 Mikailov et al, 201332  Adjunctive macrolide use Placebo NR Pulmonary function-FEV1 SMD 0.25 (−0.37 to 0.86) 
 Mikailov et al, 201332  Adjunctive macrolide use among children receiving daily oral cortico steroids Placebo NR Pulmonary function-FEV1 SMD 3.89 (−0.01 to 7.79) 
 Mikailov et al, 201332  Adjunctive macrolide use Placebo NR Decrease in daily corticosteroid dosage SMD −3.45 (−5.79 to −1.09) 
 Lin et al, 201831  Probiotics Placebo 215 Asthma exacerbations RR 1.30 (1.06 to 1.59) 
 Lin et al, 201831  Probiotics Placebo 221 Symptom free days MD 8.47 (−4.80 to 21.75) 
 Kneale et al, 201930  Educational intervention; self-management techniques Control 3833 Frequency of emergency department visits OR 0.70 (0.53 to 0.92) 
 Kneale et al, 201930  Educational intervention; self-management techniques Control 1873 Asthmas-related hospitalizations SMD −0.19 (−0.35 to −0.04) 
 Guevara et al, 200328  Educational intervention; self-management techniques Control 258 Pulmonary function SMD 0.50 (0.25 to 0.75) 
 Guevara et al, 200328  Educational intervention; self-management techniques Control 1114 Frequency of emergency department visits SMD −0.21 (−0.33 to −0.09) 
 Fares et al, 201519  Vitamin D supplemen tation No vitamin D supplementation or placebo 82 Pulmonary function-FEV1 MD 0.54 (−5.28 to 4.19) 
 Zhang et al, 202026  Physical therapy Control 201 FVC MD 4.56 (1.33 to 7.79) 
 Zhang et al, 202026  Physical therapy Control 433 FEV1 MD 1.77 (−0.76 to 4.30) 
 Zhang et al, 202026  Physical therapy Control 103 PEF MD 0.87 (−5.24 to 6.97) 
 Chan et al, 202018  Community-based intervention Control 6611 Asthma-related emergency department visits OR 0.26 (0.20 to 0.35) 
 Chan et al, 202018  Community-based intervention Control 7239 Asthmas-related hospitalizations OR 0.24 (0.15 to 0.38) 
 Chan et al, 202018  Community-based intervention Control 2179 Days with asthma symptoms MD −2.58 (−3.00 to −2.17) 
 Chan et al, 202018  Community-based intervention Control 3181 Nights with asthma symptoms MD −2.14 (−-2.94 to −1.34) 
 Chan et al, 202018  Community-based intervention Control N = 2164 Short-acting asthma medication and bronchodilator use MD 0.28 (0.16 to 0.51) 
 Chan et al, 202018  Community-based intervention Control N = 3961 Asthma action plan uses MD 8.87 (3.85 to 20.45) 
Epilepsy        
 Rezaei et al, 201758  Classic KD at month 6 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.60 (0.55 to 0.65) 
 Rezaei et al, 201758  Classic KD at mo 7 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.52 (0.46 to 0.57) 
 Rezaei et al, 201758  MAD at mo 3 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.47 (0.40 to 0.55) 
 Rezaei et al, 201758  MAD at mo 6 NR NR ≥50% seizure reduction in patients with intractable epilepsy Pooled efficacy rate 0.42 (−0.35 to 0.50) 
 Lefevre et al, 200057  Ketogenic diet None NR The combined point estimate for the outcome of percentage of patients who became seizure-free 14.9 (7.0 to 24.8) 
 Lefevre et al, 200057  Ketogenic diet None NR Percentage of patients with a greater than 90% reduction in seizures 27.6 (19.9 to 36.5) 
 Lefevre et al, 200057  Ketogenic diet None NR Percentage of patients with a greater than 50% reduction in seizures 44.6 (33.8 to 55.9) 
 Keene et al, 200656  Ketogenic diet None 972 Patients had become seizure-free 15.6 (10.4 to 20.8) 
 Keene et al, 200656  Ketogenic diet None 973 50% reduction in seizure frequency 33.0 (24.3 to 41.8) 
 Elliott et al, 201955  Cannabidiol Placebo NR Seizure freedom RR 6.77 (0.36 to 128.38) 
 Elliott et al, 201955  Cannabidiol Placebo NR Median frequency of monthly seizures with cannabidiol compared with placebo RR −19.8 (27.0 to −12.6) 
 Cao et al, 201954  Adjunctive levetiracetam Placebo 412 50% responder rate RR 1.98(1.49 to 2.63) 
 Cao et al, 201954  Adjunctive levetiracetam Placebo 462 Seizure freedom RR 5.12 (2.09 to 12.51) 
Rheumatic Fever        
 Lennon et al, 200960  Penicillin No treatment 269 Primary prevention of RF with treatment using penicillin in school- and/or community-based programs RR 0.41 (0.23 to 0.70) 
 Altamimi et al, 200959  Newer antibiotics, short duration (Azithro mycin, Clarithro mycin, Cefuroxime) Standard treatment of 10 d of Penicillin 1166 Late clinical recurrence OR 0.95 (0.83 to 1.08) 
 Altamimi et al, 200959  Newer antibiotics, short duration (Azithro mycin, Clarithro mycin, Cefuroxime) Standard treatment of 10 d of Penicillin 1928 Early bacteriological treatment failure OR 1.08 (0.97 to 1.20) 
Sickle cell disease        
 Asnani et al, 201661  Psycho-educational intervention No intervention 113 Sickle cell disease knowledge MD 1.12 (0.72 to 1.52) 
 Rankine-Mullings and Owusu-Ofori, 201764  Penicillin prophylaxis Placebo 28 Incidence of pneumococcal infection OR 0.37 (0.16 to 0.86) 
 Estcourt et al, 201762  Long-term transfusions Standard care 20 Incidence of stroke RR 0.12 (0.03 to 0.49) 
 Estcourt et al, 201762  Long-term transfusions Standard care 173 Incidence of other sickle cell disease-related complications (acute chest syndrome) RR 0.24 (0.12 to 0.48) 
 Estcourt et al, 201762  Long-term transfusions Standard care 207 Incidence of vaso-occlusive crises RR 0.62 (0.46 to 0.84) 
 Frimpong et al, 201863  Chemopro phylaxis (Chloroquine, Mefloquine, Mefloquine artesunate, Proguanil, Pyrimetha mine, Sulfadoxine-pyrimetha mine, Sulfadoxine-pyrimetha mine amodiaquine) Placebo 912 Parasitaemia and/or clinical malaria episodes OR 0.76 (0.591 to 0.97) 
 Saramba et al, 201965  Pharmacological analgesic Placebo 227 Change in rate of pain vaso-occlusive crises (as measured by pain scale) SMD −0.08 (−0.53 to 0.37) 
Type 1 Diabetes        
 Winkley et al, 200645  Psychological intervention Placebo 543 Change in HbA1c (%) MD −0.35 (−0.66 to −0.04) 
 MacMillan et al, 201444  Physical activity and/or sedentary behavior intervention Usual physical activity or sedentary behavior (ie, sitting time) 451 Change in HbA1c (%) MD −0.85 (−1.45 to −0.25) 
 Hampson et al, 200142  Educational and psychosocial interventions No intervention or usual care NR Change in HbA1c (%) MD 0.33 (−0.04 to 0.70) 
 Al Khalifah et al, 201639  Adding metformin Placebo 166 Reduction of HbA1c (%) MD −0.05 (−0.19 to 0.29) 
 Al Khalifah et al, 201639  Adding metformin Placebo 159 Reduced BMI kg/m2 MD −1.46 (−2.54 to 0.38) 
 Al Khalifah et al, 201639  Adding metformin Placebo 274 Diabetes ketoacidosis RR 2.07 (0.47 to 9.0) 
 Armour et al, 200440  Family-directed interventions No intervention, standard care, or less intensive intervention NR Glycated hemoglobin (HbA1c) Overall pooled effect size −0.6 (−1.2 to −0.1) 
 Benkhadra et al, 201741  Real-time continuous glucose monitoring Control NR Glycated hemoglobin (HbA1c) MD −0.039 (0.320 to 0.242) 
 Liu et al, 202043  Structured education Control 1621 Short-term effect on f HbA1c SMD −0.04 (− 0.14 to 0.06) 
 Liu et al, 202043  Structured education Control 1554 medium-term on f HbA1c SMD −0.03 (−0.13 to 0.07) 
 Liu et al, 202043  Structured education Control 1073 long-term effect on HbA1c SMD 0.04 (−0.16 to 0.25) 
 Liu et al, 202043  Structured education Control 555 changes in diabetes self-efficacy SMD −0.17 (−0.33 to 0.00) 
Indoor, outdoor, and environmental contaminants        
 Rosen et al, 201550  Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Usual care and usual care-reduced measurement 681 Change in air quality (air nicotine or PM) SMD −0.18 (−0.34 to −0.03) 
 Rosen et al, 201550  Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Usual care and usual care-reduced measurement 421 Change in air nicotine SMD −0.17 (−0.37 to −0.02) 
 Rosen et al, 201550  Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Usual care and usual care-reduced measurement 340 Change in PM SMD −0.33 (−0.62 to −0.05) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improvement in personal PM SMD 1.18 (1.05 to 1.32) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improvement in personal PM-in Children SMD 1.26 (0.91 to 1.75) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Personal carbon monoxide SMD 0.83 (0.68 to 1.00) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improved kitchen levels of PM SMD 1.57 (1.22 to 2.01) 
 Quansah et al, 201751  Plancha, justa, and patsari stoves Traditional cook stove, open fire, open pits Household level Improved kitchen levels of carbon monoxide SMD 1.03 (0.76 to 1.41) 
 Thakur et al, 201853  Improved biomass cook stoves Open fire, stone fire, clay stove 11 560 Pediatric acute lower respiratory tract infections RR 1.02 (0.84 to 1.24) 
 Thakur et al, 201853  Improved biomass cook stoves Open fire, stone fire, clay stove 11 061 Pediatric severe pneumonia RR 0.88 (0.39 to 2.01) 
 Rosen et al, 201251  Self-help materials, counseling, phone support, medication, biochemical feedback. Usual care or special to the trial related to smoking cessation, or risk to children from smoking or did not receive any information 7053 Parental smoking cessation RR 1.34 (1.05 to 1.71) 
 Nussbaumer-Streit et al, 202048  Educational interventions No intervention 815 Blood lead levels MD −0.03 (−0.13 to 0.07) 

b2, β 2adrenergic; FEV1, forced expiratory vol in 1 s; FVC, forced vital capacity; HbA1c, hemoglobin A1c; KD, ketogenic diet; MAD, modified Atkins diet; MD, mean difference; NR, not reported; OR, odds ratio; PEF, peak expiratory flow; PM, particulate matter; RR, relative risk; SMD, standard mean difference.

TABLE 3

Characteristics of Included Systematic Reviews

DomainAuthors, yearRegionAge Range of ParticipantsNumber of Included StudiesPlatform of DeliveryInterventionOutcomesOverall Quality Score AMSTAR (High, Moderate, Low, or Critically Low)
Asthma         
 Zhong et al, 201727  HIC 0–19 y School-based, outpatient Educational intervention; self-management techniques Quality of life, pulmonary function Moderate 
 Yorke et al, 200725  NR ≤18 y 12 Outpatient, home-based Relaxation therapy Pulmonary function Low 
 Xu et al, 201624  LMIC 5–15 y Outpatient, home-based Massage therapy Pulmonary function High 
 Wu et al, 201723  LMIC Children 14 NR Massage therapy Effect on basic treatment, pulmonary function Low 
 Su et al, 201822  HIC, LMIC 1–18 y NR IV magnesium sulfate Asthmas-related hospitalizations, pulmonary function Low 
 Rodrigo et al, 201721  NR 6–11 y NR Tiotropium Pulmonary function Moderate 
 Rodrigo et al, 201520  NR 1–20 y NR Omalizumab Asthma exacerbations Low 
 Rodrigo et al, 200536  HIC, LMIC 18 mo to 17 y 32 Inpatient, outpatient Anticholinergic agents Asthmas-related hospitalizations Low 
 Riverin et al, 201535  HIC, LMIC 5–18 y NR Vitamin D supplementation Asthma exacerbations Moderate 
 Pojsupap et al, 201534  HIC, LMIC 5–18 y NR Vitamin D supplementation Asthma exacerbations Moderate 
 Mohammed et al, 200733  HIC, LMIC 1–18 y 24 NR IV magnesium sulfate Pulmonary function Low 
 Mikailov et al, 201332  HIC 2–18 y 12 NR Adjunctive macrolide use Pulmonary function, decrease in daily corticosteroid dosage Low 
 Lin et al, 201831  HIC 5–16 y 11 NR Probiotics Asthma exacerbations, symptom free days Moderate 
 Kneale et al, 201930  Majority HIC 5–18 y 34 School-based Educational intervention: self-management techniques Frequency of emergency department visits, asthma-related hospitalizations High 
 Harris et al, 201929  Majority HIC 5–18 y 34 School-based Educational intervention; self-management techniques Frequency of emergency department visits, asthma-related hospitalizations High 
 Guevara et al, 200328  NR 2–18 y 32 NR Educational intervention; self-management techniques Pulmonary function, frequency of emergency department visits High 
 Fares et al, 201519  NR ≤ 18 y Outpatient Vitamin D supplementation Pulmonary function Moderate 
 Zhang et al, 202026  Majority HIC ≤18 y 11 NR Physical therapy Pulmonary function High 
 Chan et al, 202018  HIC 0–18 y 21 Community Community-based intervention Asthma-related emergency department visits, asthma-related hospitalizations, days and nights with asthma symptoms short-acting asthma medication and bronchodilator use, asthma action plan uses High 
Rheumatic fever        
 Lennon et al, 200960  HIC, LMICs 5–18 y School-based, community-based Penicillin Primary prevention of RF with treatment using penicillin in school- and/or community-based programs Low 
 Altamimi et al, 200959  HIC 1–18 y 20 Inpatient, outpatient Newer antibiotics, short duration (Azithromycin, Clarithromycin, Cefuroxime) Late clinical recurrence, early bacteriological treatment failure High 
Sickle cell disease        
 Asnani et al, 201661  Majority HIC 6–18 y 12 School-based, outpatient, home Psycho-educational intervention Sickle cell disease knowledge High 
 Rankine-Mullings and Owusu-Ofori, 201764  Majority HIC ≤16 y Outpatient Penicillin prophylaxis Incidence of pneumococcal infection High 
 Estcourt et al, 201762  HIC 2–20 y Inpatient, outpatient Long-term transfusions Incidence of stroke, incidence of other sickle cell disease-related complications (acute chest syndrome), incidence of vaso-occlusive crises High 
 Frimpong et al, 201863  LMIC Children Inpatient, outpatient Chemoprophylaxis (Chloroquine, Mefloquine, Mefloquine artesunate, Proguanil, Pyrimethamine, Sulfadoxine-pyrimethamine, Sulfadoxine-pyrimethamine amodiaquine) Parasitaemia and/or clinical malaria episodes Moderate 
 Saramba et al, 201965  HIC 3–21 y Inpatient Pharmacological analgesic Change in rate of pain vaso-occlusive crises (as measured by pain scale) Low 
Type 1 diabetes mellitus        
 Winkley et al, 200645  HIC Children and adolescents 10 Community-based Psychological intervention Change in HbA1c (%) Low 
 MacMillan et al, 201444  HIC, LMIC 5–19 y 10 Outpatient Physical activity and/or sedentary behavior intervention Change in HbA1c (%) Moderate 
 Hampson et al, 200142  Majority HIC 9–21 y 14 Outpatient, inpatient, community-based, home Educational and psychosocial interventions Change in HbA1c (%) Moderate 
 Al Khalifah et al, 201639  HIC 6–19 y NR Adding metformin Reduction of HbA1c (%), reduced BMI kg/m2, diabetes ketoacidosis Moderate 
 Armour et al, 200440  HIC <18 y Inpatient, outpatient, community-based Family-directed interventions Glycated hemoglobin (HbA1c) Low 
 Liu et al, 202043  HIC, LMIC 8–18 y 12 NR Real-time continuous glucose monitoring Short-term, medium-term, and long-term effect on HbA1c, Changes in diabetes self-efficacy Moderate 
 Benkhadra et al, 201741  HIC 13–15 y Outpatient Structured education Glycated hemoglobin (HbA1c) Low 
Epilepsy        
 Rezaei et al, 201758  HIC, LMIC Children 60 NR Ketogenic diet and modified Atkins diet ≥50% seizure reduction in patients with intractable epilepsy Critically low 
 Lefevre et al, 200057  NR Children and adolescents 11 Inpatient, outpatient Ketogenic diet The combined point estimate for the outcome of percentage of patients who became seizure-free, percentage of patients with a >90% and 50% reduction in seizures Critically low 
 Keene et al, 200656  NR ≤18 y 14 NR Ketogenic diet Patients had become seizure-free, 50% reduction in seizure frequency Critically low 
 Elliott et al, 201955  HIC 7–14 y NR Cannabidiol Median frequency of monthly seizures with cannabidiol compared with placebo, Seizure freedom Low 
 Cao et al, 201954  NR 0–18 yeas NR Adjunctive levetiracetam 50% responder rate, seizure freedom Moderate 
Cancer  
 Zabih et al, 202058  LMIC General 12 Community-based, inpatient, outpatient Interventions to improve early detection of childhood cancer Knowledge, detection, survival rates Moderate 
 Coyne et al, 201637  NR 4-18 y NR Interventions for promoting participation in shared decision‐making N/A High 
Indoor, outdoor and environmental contaminants         
 Burns et al, 201946  HIC, LMIC General 42 Community-based Measures addressing heating and cooking, industry, or a combination of different sources Air quality outcomes High 
 Campbell et al, 200047  HIC General 65 Community-based Environmental awareness interventions Air quality outcomes Moderate 
 Nussbaumer-Streit et al, 202048  HIC 0-18 y Homes Educational interventions Blood lead levels High 
 Pfadenhauer et al, 201649  HIC, LMIC General Homes Environmental and educational interventions Blood lead levels Low 
 Quansah et al, 201751  LMIC General 15 Homes Plancha, justa, and patsari stoves Air quality outcomes High 
 Rosen et al, 201550  HIC General Homes Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Air quality outcomes Moderate 
 Rosen et al, 201251  HIC General 18 Homes Self-help materials, counseling, phone support, medication, biochemical feedback. Parental smoking cessation High 
 Thakur et al, 201853  LMIC General 13 Homes Improved biomass cook stoves Pediatric acute lower respiratory tract infections, pediatric severe pneumonia High 
DomainAuthors, yearRegionAge Range of ParticipantsNumber of Included StudiesPlatform of DeliveryInterventionOutcomesOverall Quality Score AMSTAR (High, Moderate, Low, or Critically Low)
Asthma         
 Zhong et al, 201727  HIC 0–19 y School-based, outpatient Educational intervention; self-management techniques Quality of life, pulmonary function Moderate 
 Yorke et al, 200725  NR ≤18 y 12 Outpatient, home-based Relaxation therapy Pulmonary function Low 
 Xu et al, 201624  LMIC 5–15 y Outpatient, home-based Massage therapy Pulmonary function High 
 Wu et al, 201723  LMIC Children 14 NR Massage therapy Effect on basic treatment, pulmonary function Low 
 Su et al, 201822  HIC, LMIC 1–18 y NR IV magnesium sulfate Asthmas-related hospitalizations, pulmonary function Low 
 Rodrigo et al, 201721  NR 6–11 y NR Tiotropium Pulmonary function Moderate 
 Rodrigo et al, 201520  NR 1–20 y NR Omalizumab Asthma exacerbations Low 
 Rodrigo et al, 200536  HIC, LMIC 18 mo to 17 y 32 Inpatient, outpatient Anticholinergic agents Asthmas-related hospitalizations Low 
 Riverin et al, 201535  HIC, LMIC 5–18 y NR Vitamin D supplementation Asthma exacerbations Moderate 
 Pojsupap et al, 201534  HIC, LMIC 5–18 y NR Vitamin D supplementation Asthma exacerbations Moderate 
 Mohammed et al, 200733  HIC, LMIC 1–18 y 24 NR IV magnesium sulfate Pulmonary function Low 
 Mikailov et al, 201332  HIC 2–18 y 12 NR Adjunctive macrolide use Pulmonary function, decrease in daily corticosteroid dosage Low 
 Lin et al, 201831  HIC 5–16 y 11 NR Probiotics Asthma exacerbations, symptom free days Moderate 
 Kneale et al, 201930  Majority HIC 5–18 y 34 School-based Educational intervention: self-management techniques Frequency of emergency department visits, asthma-related hospitalizations High 
 Harris et al, 201929  Majority HIC 5–18 y 34 School-based Educational intervention; self-management techniques Frequency of emergency department visits, asthma-related hospitalizations High 
 Guevara et al, 200328  NR 2–18 y 32 NR Educational intervention; self-management techniques Pulmonary function, frequency of emergency department visits High 
 Fares et al, 201519  NR ≤ 18 y Outpatient Vitamin D supplementation Pulmonary function Moderate 
 Zhang et al, 202026  Majority HIC ≤18 y 11 NR Physical therapy Pulmonary function High 
 Chan et al, 202018  HIC 0–18 y 21 Community Community-based intervention Asthma-related emergency department visits, asthma-related hospitalizations, days and nights with asthma symptoms short-acting asthma medication and bronchodilator use, asthma action plan uses High 
Rheumatic fever        
 Lennon et al, 200960  HIC, LMICs 5–18 y School-based, community-based Penicillin Primary prevention of RF with treatment using penicillin in school- and/or community-based programs Low 
 Altamimi et al, 200959  HIC 1–18 y 20 Inpatient, outpatient Newer antibiotics, short duration (Azithromycin, Clarithromycin, Cefuroxime) Late clinical recurrence, early bacteriological treatment failure High 
Sickle cell disease        
 Asnani et al, 201661  Majority HIC 6–18 y 12 School-based, outpatient, home Psycho-educational intervention Sickle cell disease knowledge High 
 Rankine-Mullings and Owusu-Ofori, 201764  Majority HIC ≤16 y Outpatient Penicillin prophylaxis Incidence of pneumococcal infection High 
 Estcourt et al, 201762  HIC 2–20 y Inpatient, outpatient Long-term transfusions Incidence of stroke, incidence of other sickle cell disease-related complications (acute chest syndrome), incidence of vaso-occlusive crises High 
 Frimpong et al, 201863  LMIC Children Inpatient, outpatient Chemoprophylaxis (Chloroquine, Mefloquine, Mefloquine artesunate, Proguanil, Pyrimethamine, Sulfadoxine-pyrimethamine, Sulfadoxine-pyrimethamine amodiaquine) Parasitaemia and/or clinical malaria episodes Moderate 
 Saramba et al, 201965  HIC 3–21 y Inpatient Pharmacological analgesic Change in rate of pain vaso-occlusive crises (as measured by pain scale) Low 
Type 1 diabetes mellitus        
 Winkley et al, 200645  HIC Children and adolescents 10 Community-based Psychological intervention Change in HbA1c (%) Low 
 MacMillan et al, 201444  HIC, LMIC 5–19 y 10 Outpatient Physical activity and/or sedentary behavior intervention Change in HbA1c (%) Moderate 
 Hampson et al, 200142  Majority HIC 9–21 y 14 Outpatient, inpatient, community-based, home Educational and psychosocial interventions Change in HbA1c (%) Moderate 
 Al Khalifah et al, 201639  HIC 6–19 y NR Adding metformin Reduction of HbA1c (%), reduced BMI kg/m2, diabetes ketoacidosis Moderate 
 Armour et al, 200440  HIC <18 y Inpatient, outpatient, community-based Family-directed interventions Glycated hemoglobin (HbA1c) Low 
 Liu et al, 202043  HIC, LMIC 8–18 y 12 NR Real-time continuous glucose monitoring Short-term, medium-term, and long-term effect on HbA1c, Changes in diabetes self-efficacy Moderate 
 Benkhadra et al, 201741  HIC 13–15 y Outpatient Structured education Glycated hemoglobin (HbA1c) Low 
Epilepsy        
 Rezaei et al, 201758  HIC, LMIC Children 60 NR Ketogenic diet and modified Atkins diet ≥50% seizure reduction in patients with intractable epilepsy Critically low 
 Lefevre et al, 200057  NR Children and adolescents 11 Inpatient, outpatient Ketogenic diet The combined point estimate for the outcome of percentage of patients who became seizure-free, percentage of patients with a >90% and 50% reduction in seizures Critically low 
 Keene et al, 200656  NR ≤18 y 14 NR Ketogenic diet Patients had become seizure-free, 50% reduction in seizure frequency Critically low 
 Elliott et al, 201955  HIC 7–14 y NR Cannabidiol Median frequency of monthly seizures with cannabidiol compared with placebo, Seizure freedom Low 
 Cao et al, 201954  NR 0–18 yeas NR Adjunctive levetiracetam 50% responder rate, seizure freedom Moderate 
Cancer  
 Zabih et al, 202058  LMIC General 12 Community-based, inpatient, outpatient Interventions to improve early detection of childhood cancer Knowledge, detection, survival rates Moderate 
 Coyne et al, 201637  NR 4-18 y NR Interventions for promoting participation in shared decision‐making N/A High 
Indoor, outdoor and environmental contaminants         
 Burns et al, 201946  HIC, LMIC General 42 Community-based Measures addressing heating and cooking, industry, or a combination of different sources Air quality outcomes High 
 Campbell et al, 200047  HIC General 65 Community-based Environmental awareness interventions Air quality outcomes Moderate 
 Nussbaumer-Streit et al, 202048  HIC 0-18 y Homes Educational interventions Blood lead levels High 
 Pfadenhauer et al, 201649  HIC, LMIC General Homes Environmental and educational interventions Blood lead levels Low 
 Quansah et al, 201751  LMIC General 15 Homes Plancha, justa, and patsari stoves Air quality outcomes High 
 Rosen et al, 201550  HIC General Homes Self-help materials; counseling; phone support; nicotine replacement therapy (NRT); biochemical feedback; air cleaner; tobacco smoke air pollution feedback Air quality outcomes Moderate 
 Rosen et al, 201251  HIC General 18 Homes Self-help materials, counseling, phone support, medication, biochemical feedback. Parental smoking cessation High 
 Thakur et al, 201853  LMIC General 13 Homes Improved biomass cook stoves Pediatric acute lower respiratory tract infections, pediatric severe pneumonia High 

HIC, high-income countries; KD, ketogenic diet; LMIC, low-and middle-income countries; MAD, modified Atkins diet; NR, not reported.

One review found significant improvements in the mean change from baseline in forced expiratory volume peak (FEV1) when comparing placebo with once-a-day long-acting anticholinergic tiotropium bromide bronchodilator; mean difference of 102 mL (95% CI, 66 to137 mL).21  Another systematic review reported significant reductions in hospital admissions in children treated with inhaled anticholinergic agents (RR 0.73, 95% CI, 0.63 to 0.85).36  A review looking at probiotics supplementation in children with asthma indicated significantly fewer episodes of asthma in the probiotics group compared with control (RR 1.3, 95% CI, 1.06 to 1.59).31  The pooled results also demonstrated that there was no significant difference between the 2 arms on the number of symptom-free days (MD 8.47, 95% CI, −4.8 to 21.75). Two reviews looked at vitamin D supplementation.19,35  The first found there was a reduced risk of asthma exacerbations in children receiving vitamin D (RR, 0.41, 95% CI, 0.27 to 0.63). A review investigated the adjunctive use of macrolides reported no significant change in FEV1 from baseline.

Approximately 50 million people suffer from epilepsy globally, with nearly 80% living in LMICs.67  With the appropriate use of antiepileptic medications, seizures can be controlled. Although low-cost treatments are available, nearly three-quarters of individuals living in LMICs will not receive the treatment they need.

Three reviews examining the effects of Ketogenic “type” diets on seizures in children with epilepsy were identified, with variable evidence.5658  Another review examined the efficacy of cannabidiol in reducing seizures among children with drug resistant epilepsy; the authors reported a statistically significant reduction in the median frequency of monthly seizures with cannabidiol compared with placebo, and an increase in the number of participants with at least a 50% reduction in seizures.55  A meta-analysis from another review suggested that adjunctive treatment with levetiracetam was more effective than placebo; RR (95% CI) for the 50% responder rate and seizure freedom rate were 1.98 (1.49 to 2.63) and 5.12 (2.09 to 12.51), respectively.54 

Nearly 12 million people are affected by rheumatic fever and rheumatic heart disease, taking more than 200 000 lives annually.68  Primary antibiotic prophylaxis is not only cost-effective, but it can successfully be implemented in resource-poor settings and is essential in limiting the progression of rheumatic fever to rheumatic heart disease.6870  Programs focused on early detection and treatment are essential in improving outcomes for these preventable conditions.

We identified 2 reviews examining primary prevention of rheumatic fever. One review examined rheumatic fever prevention by treating streptococcal pharyngitis with penicillin in school- and/or community-based programs. The results of this meta-analysis reported (RR 0.41, 95% CI 0.23 to 0.70) favoring treatment.60  The second review looked at the comparable efficacy of new short-duration antibiotics (Azithromycin, Clarithromycin, and Cefuroxime) compared with the standard duration of 10-day oral penicillin in treating children with acute group A β-hemolytic streptococcal (GABHS) pharyngitis. The authors reported that 3 to 6 days of oral antibiotics had comparable efficacy to the gold standard 10-day penicillin regimen in areas with a high prevalence of rheumatic heart disease. These results should be interpreted with caution given the long-term risks of rheumatic fever and progressive heart disease without adequate treatment of GABHS. However, in countries with low rates of rheumatic fever, it appears safe and efficacious to treat children with acute GABHS pharyngitis with short duration antibiotics.59 

Sickle cell disease is a genetic condition in which individuals experience acute complications and progressive organ damage. Disease management and prevention programs are key in reducing the health burden and complications. We included 5 reviews examining sickle cell disease (SCD).

A Cochrane review examined interventions for patients and caregivers aiming to improve their knowledge and understanding of sickle cell disease and recognition of signs and symptoms of disease-related morbidity. Interventions were described as cognitive-based therapy or psychoeducation aimed to change knowledge, attitudes or skills, improve psychosocial aspects of the disease, as well as treatment adherence and health care utilization. Evidence showed that the educational programs improved patient’s knowledge (SMD 1.12 points, 95% CI, 0.72 to 1.52).61  A single trial reported on caregivers’ knowledge, which also showed an improvement (SMD 0.52 points, 95% CI, 0.03 to 1.00). A second Cochrane review examined the effects of prophylactic antibiotic regimens for preventing pneumococcal infection in children with sickle cell disease, with results favoring penicillin initiation (OR, 0.37, 95% CI, 0.16 to 0.86).64 

One review reported moderate quality evidence that long-term red cell transfusions may reduce the risk of stroke in children at higher risk of stroke who have not had previous long-term transfusions.62  The use of malaria chemoprophylaxis (Chloroquine, Mefloquine, Mefloquine artesunate, Proguanil, Pyrimethamine, Sulfadoxine-pyrimethamine, or Sulfadoxine-pyrimethamine amodiaquine) in children with SCD was evaluated by 1 review. The authors reported that antimalarial chemoprophylaxis generally provided protection against parasitemia and clinical malaria episodes in children with SCD. However, no difference between intervention and placebo group was noted for the risk of hospitalization, blood transfusion, vaso-occlusive crisis, and mortality.63  The efficacy of pharmacological analgesics used for the improvement of pain intensity and relief for acute pain crisis in pediatric patients with SCD was reported in 1 review, and showed no statistically significant differences and a lack of amelioration provided by pharmaceutical analgesics in the treatment group.65 

Type 1 diabetes (insulin-dependent diabetes mellitus), also commonly referred to as juvenile diabetes, is an autoimmune disease that can occur at any age but tends to develop during childhood. Poor metabolic control can cause acute complications, hypoglycemia, ketoacidosis, and chronic microvascular and macrovascular complications, which continue to be a major cause of morbidity and mortality.7174  Adequate management includes self-care tools, self-management education, and access to insulin. However, in many countries and for disadvantaged families, access is limited.75 

Seven systematic reviews examining interventions aimed at care for type 1 diabetes were included.3945  One review examined psychological interventions, which included supportive or counseling therapy, cognitive behavior therapy, psychoanalytically informed therapies, and family systems therapy. The authors reported the mean percentage of glycated hemoglobin was significantly reduced in children and adolescents who had received a psychological intervention compared with those in the control group with a pooled absolute reduction in glycated hemoglobin (HbA1c) of 0.48% (95% CI, 0.05 to 0.91; Supplemental Information). A systematic review of physical activity and sedentary behavior intervention studies reported significant reduction of HbA1c, indicating an improvement in glycemic control (MD −0.85%, 95% CI, −1.45 to −0.25). A review examining the effectiveness of adding metformin to insulin in children with type 1 diabetes mellitus for improving metabolic outcomes found metformin resulted in a modest decrease in the total daily dose of insulin, reduced body mass index (BMI) (kg/m2), and BMI z-score but was not superior to placebo in reducing HbA1c, lipid profile, and diabetic ketoacidosis events. A review of the effectiveness of family-directed interventions showed a pooled effect of −0.6 (−1.2 to −0.1) on HbA1c. One review found a statistically significant but a modest reduction in HbA1c with real-time continuous glucose monitoring interventions.

Cancer affects nearly 400 000 children and adolescents annually.76  The most common types of cancers include leukemia, brain and central nervous system tumors, and lymphomas.77  In HICs the survival rate is nearly 80%, while in LMICs it may be less than 30%. The lack of diagnosis, delayed diagnosis, obstacles to accessing care, and treatment abandonment all contribute to the avoidable deaths from cancer in LMICs.78  While treatment of cancers can include a variety of regimens, medications, surgery, and radiotherapy, timely diagnosis is simply the most crucial factor and the foundation for developing a treatment and management plan. We found it most appropriate to focus this section on reviews that examined interventions aimed at improving detection.

A recent systematic review examined interventions aimed at improving early detection of childhood cancers in LMICs. The review included 12 studies and interventions ranged from training programs for health care providers to national awareness campaigns and education on early warning signs and symptoms. Five studies reported statistically significant results postintervention in key clinical outcomes, such as decrease in extraocular spread of retinoblastoma, and decrease in refusal and abandonment rates of treatment and an increase in knowledge and awareness. Because of the heterogeneity of outcomes, meta-analysis was not possible, and the current quality of evidence is low.38  A 2016 Cochrane systematic review attempted to examine the effects of interventions for promoting participation in shared decision-making for children aged 4 to 18 with cancer, however no studies met the inclusion criteria.37 

No country is unaffected by pollution and shifts in globalization and rapid urbanization contribute to the rise of NCDs in LMICs as more people are exposed to indoor and outdoor pollution in densely packed cities.79,80  Environmental factors are a main preventable cause of NCDs. Ambient (outdoor) and household air pollution cause deaths from cardiovascular diseases, chronic respiratory diseases, and lung cancer.81  Women and children are disproportionately affected and are more often exposed to harmful smoke caused by cooking, heating, and lighting with unclean fuels and inefficient technologies.82  Sector policies and interventions that effectively address environmental causes of disease, eg, energy, housing, transport, and agriculture, and in settings such as cities, workplaces, and homes not only improve health outcomes, but have a positive impact on the climate and economy.80,83,84 

Much overlap was seen among the records identified from the respective searches on outdoor pollution, indoor pollution, and environmental contaminants. Overall, we identified 2 reviews examining the levels of nicotine concentration in ambient air and parental cessation programs,50,51  2 reviews focused on improved cook tops and stoves,52,53  2 reviews on preventing domestic lead exposure,48,49  1 review on interventions to reduce ambient particulate matter air pollution,46  and 1 review on environmental awareness interventions.47 

One review reported that stand-alone targeted educational interventions showed no statistically significant reductions in children's blood lead levels when compared with general educational interventions. However, stand-alone environmental interventions appeared more effective in reducing blood lead levels. The authors suggest combining environmental and educational interventions and targeting multiple settings, which may have a greater effect in reducing blood lead levels, as suggested by 1 uncontrolled before-after study. A second review similarly found educational interventions were not effective at reducing blood lead levels in children, (MD −0.03, 95%CI, −0.13 to 0.07).

A systematic review on parental smoking cessation reported quit rates averaged 23.1% in the intervention group and 18.4% in the control group. Overall, while modest, the RR (95% CI) showed statistically significant improvement in quit rates in the intervention group compared with the control group, 1.34 (95% CI, 1.05 to 1.71). One review evaluated air pollution in homes as assessed by nicotine or particulate matter (PM), with a range of interventions; including self-help materials, counseling, phone support, nicotine replacement therapy (NRT), biochemical feedback, air cleaner, and tobacco smoke air pollution feedback. Although interventions showed reduced tobacco smoke pollution (as assessed by air nicotine or PM) in homes, contamination still remained.

Two reviews examined household air pollution reductions with cook stove interventions. One review reported that at the household level there were improvements in daily personal average concentrations of particulate matter (SMD 1.18, 95% CI, 1.05 to 1.32) and carbon monoxide concentrations in kitchens (SMD 0.83, 95% CI, 0.68 to 1.00). Significant improvement in personal particulate matter was observed among children (SMD 1.26, 95% CI, 0.91 to 1.75). A second review examining the effect of improved biomass cook stoves on acute respiratory infections and severe pneumonia in children showed no demonstrable impact.

A Cochrane review assessing the effectiveness of interventions to reduce ambient air pollution and improve associated health outcomes reported 38 unique interventions with heterogeneity across interventions, outcomes, and methods. The interventions were implemented in countries across the world, but the majority (79%) were implemented in HICs. Included studies showed varying effects of the interventions on health outcomes. Given the heterogeneity, it was difficult to generate any overall conclusions regarding the effectiveness of interventions in improving air quality or health. A systematic review examining the effectiveness of environmental awareness interventions reported short-term improvements in awareness and knowledge in 13 out of 14 studies. The results suggest that a number of health promotion interventions can aid in increasing short-term public awareness and environmental health risks, specifically, ultraviolet radiation and environmental tobacco smoke.

Although many NCDs are caused by preventable factors, including poor diet, tobacco use, harmful use of alcohol, and physical inactivity, many NCDs are not caused by modifiable factors, particularly those affecting children. Cardiovascular diseases, chronic respiratory diseases, cancer, and diabetes are all leading causes of global mortality. The importance of addressing these and other NCDs is acknowledged in the Sustainable Development Goals, which call for measures to reduce mortality from NCDs by 2030. We conducted a comprehensive review of systematic reviews of interventions addressing high burden, neglected NCDs, providing an overview of existing evidence-based interventions. Much of the evidence for the effectiveness of interventions among school-aged children was conducted in high income settings and may not be easily extrapolated to LMICs. However, several intervention programs are not only feasible but also cost-effective in LMICs. An economic study from India estimated that public financing for both first- and second-line therapy and other medical costs alleviates the financial burden from epilepsy and is cost-effective across wealth quintiles.85  Primary antibiotic prophylaxis is not only cost-effective, but it can successfully be implemented in resource-poor settings. Investing in prevention and management of NCDs offers countries a higher return and contributes to economic growth for countries at all income levels.5 

While evidence exists and we have identified several reviews highlighting interventions for school-aged children that improve outcomes, the bulk of these reviews only include evidence from a small number of studies with moderate to low quality evidence and a high level of heterogeneity with regards to participants, reported outcomes, and intervention characteristics. Most of the current literature on NCDs reports on mixed populations that includes both children and adults. A previous systematic review of systematic reviews on the state of evidence on acute asthma management in children included a total of 23 reviews; 8 included only children, and 15 included children and adults.

LMICs have long been burdened with malnutrition and infectious diseases. However, today LMICs are experiencing an increase in NCD burden.86,87  Air pollution was the second largest risk factor causing NCDs globally in 2016, just after tobacco smoking, and caused 5 million deaths from NCDs. NCDs caused by air pollution include heart disease, stroke, chronic obstructive pulmonary disease, and lung cancer.81,82  Nearly 92% of pollution-related deaths occur in LMICs, and in countries at every income level, the diseases caused by pollution are most prevalent among minorities and marginalized groups.80  Three billion people, mainly living in LMICs, rely on polluting fuels for inefficient cooking, heating, and lighting technology, resulting in exposure to harmful smoke in their homes. Children are extremely vulnerable to even low-dose exposure to pollutants, especially during critical times of development in utero and in early infancy, which can result in disease and disability across the life course. Interventions to reduce exposure to air pollution and improve air quality have great potential to protect individuals’ health and contribute to reducing the burden of NCDs.88  Ecuador’s national efficient cooking program aims to reduce greenhouse gas emissions by replacing liquefied petroleum gas with renewable energy sources like hydroelectricity. The impact of the national efficient cooking program implementation estimates a reduction of 2.9 million tons carbon dioxide equivalent (CO2eq) per year and total accumulative reduction of approximately 49 million tons CO2eq from 2012 to 2030.89,90 

The current evidence does not enable determination of which interventions are the most effective and whether these interventions can be effectively delivered in LMIC settings. Targeting gaps in the literature could enhance the understanding of effectiveness of interventions, modes of delivery, and readiness for scale-up of these programs. Multicomponent and multisectoral approaches for addressing health and wellbeing are often the most effective. Approaches and efforts to confront NCDs should be embedded in public health programs, and primary care services should be made more readily accessible in schools or the community.

Our analysis has a number of potential limitations. We undertook a comprehensive literature search for published reviews to identify high-level evidence in peer-reviewed journals, and thus did not include unpublished reviews. A major limitation of the literature assessed is the high proportion of publications that do not report key information, such as the platforms involved in intervention delivery. We initially aimed to synthesize data in 2 separate age ranges: late childhood and school age (5–9.9 years) and early adolescence (10–14.9 years). However, it was not possible to disaggregate the findings by age group as most reviews reported on wide age ranges, which mostly combined these age bands. However, in the same respect, we came across reviews that included many studies with child and adolescent populations, however their meta-analyses also included populations with adults, and were therefore excluded. While our focus was on LMIC’s, the majority of reviews, 69% (33 reviews), included studies and data from high-income countries.

Our aim was to summarize the current base of systematic reviews focused on delivering NCD interventions to children and adolescents aged 5 to 19. However, our results had major limitations as we found significant gaps in the literature. Conditions like asthma and type 1 diabetes, which are well-studied and have well known standard of care regimens, are not necessarily represented in our results. Our results are not a reflection of the entirety of pharmacologic interventions that exist, nor representative of the effectiveness of all available medications used to manage the conditions included in this review. Our results are only a reflection of the reviews that exist, and more importantly, the significant gaps that do exist in the literature for so many well-studied conditions individually.

Although NCDs have their major impact on global mortality and morbidity in adulthood, they represent a considerable burden among children and adolescents, specifically mortality related to asthma, type 1 diabetes, leukemia, and rheumatic heart disease.91  Efforts to reduce their burden among children, adolescents, and into adulthood are essential. While some NCDs can be prevented through preventive measures, and lifestyle and behavioral modifications, conditions like congenital heart disease and type 1 diabetes cannot be prevented. Our review highlights the major gaps in the literature and our understanding of NCD prevention and management in LMICs, despite LMICs having the highest burden of NCDs and limited resources to manage them. While disparities in regard to access and quality of health care exist among HICs and LMICs, inequalities within countries and communities also determine the level and quality of care that children and adolescents receive. The limited quantity and quality of the evidence measuring effectiveness and associated health outcomes points to an urgent need for more robust evaluation of intervention effectiveness, as well as intervention delivery effectiveness, to improve the evidence base.

We thank Omar Irfan.

Dr Bhutta conceptualized and designed the study; Mr Vaivada conceptualized and designed the study and critically revised the manuscript; Ms Jain conceptualized and designed the study, screened the search results, screened the retrieved papers against the inclusion criteria, appraised the quality of papers, extracted the data, completed the data analysis, and drafted the initial manuscript; Ms Als conceptualized and designed the study, screened the search results, screened the retrieved papers against the inclusion criteria, appraised the quality of papers, extracted the data, completed the data analysis and drafted the initial manuscript; and all authors reviewed, revised, and approved the final manuscript as submitted and agreed to be accountable for all aspects of the work.

This systematic review has been registered with the International Prospective Register of Systematic Reviews (www.crd.york.ac.uk/prospero/) (identifier CRD42020219910).

FUNDING: This work was supported by a grant from the International Development Research Centre (#109010-001). The funder did not participate in the work. Core funding support was also provided by the SickKids Centre for Global Child Health in Toronto.

CONFLICT OF INTEREST DISCLOSURES: The authors have no financial relationships relevant to this article to disclose.

HIC

high-income countries

LMIC

low- and middle-income countries

NCDs

noncommunicable diseases

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