OBJECTIVE:

To identify variables associated with return visits to the hospital within 7 days after discharge.

METHODS:

We performed a retrospective study of 7-day revisits and readmissions between October 2012 and September 2015 using the Pediatric Health Information System database supplemented by electronic medical record data from a tertiary-care children’s hospital. We examined factors associated with revisits among the top 10 most frequent indications for hospitalization using generalized estimating equations.

RESULTS:

There were 736 (4.2%) revisits and 416 (2.3%) readmissions within 7 days. Predictors of 7-day revisits and readmissions included age, length of hospital stay, and presence of a chronic medical condition. In addition, insurance status was associated with risk of revisits and race was associated with risk of readmissions in the bivariate analysis.

CONCLUSIONS:

In this study, we identified patient characteristics that may be associated with a higher risk of early return to the emergency department and/or readmissions. Early identification of this at-risk group of patients may provide opportunities for intervention and enhanced care coordination at discharge.

Readmission rates are viewed as a surrogate metric for overall quality of care. Readmitted patients represent a high-risk group with an increased use of resources at children’s hospitals.1,2  Since the inception of financial disincentives for readmissions by the Centers for Medicare and Medicaid Services, hospitals have focused on reducing 30-day readmissions.3  Recent evidence suggests that 20% to 50% of 30-day pediatric readmissions may be preventable.2,4  Potential associations include a short time interval between the index admission and readmission and being more likely to be causally related to the index admission.5 

Because most previous studies have focused on all-cause 30-day readmissions or unplanned 30-day surgical returns, there is a paucity of data for predictors of 7-day revisits by children to the emergency department (ED) or readmission of children to the hospital after discharge.68  Although readmission measures that incorporate ED visits after an inpatient stay might better inform interventions to reduce avoidable readmissions, much of these data are in the adult population.9  Thirty-day return visit data for adults presenting to an ED after discharge suggest that 44% of these patients do not get readmitted.9  Pediatric revisits without readmissions may be similarly frequent and should be evaluated in studies assessing return to the ED or hospital after discharge.

In this study, we sought to identify variables associated with revisits, defined as a visit to the ED or a readmission, within 7 days of discharge from the hospital. Seven-day revisit rates were evaluated to identify associations with early return to the ED or hospital because these may be indicators of lack of readiness for discharge. To focus on the most common reasons for hospital admission, we concentrated our evaluation on the most frequent discharge diagnoses.

This is a retrospective cohort study of patients discharged from an urban, academic, freestanding, tertiary-care pediatric hospital with 255 licensed inpatient beds, ∼15 000 admissions per year, and an annual ED census of 92 000 visits. The facility is staffed by hospitalists who provide coverage for select primary care pediatric practices and a teaching service with attending physicians, fellows, and resident physicians.

In this study, we included patient encounters during a 3-year period from October 2012 to September 2015. We also focused on encounters in the top 10 All Patient Refined Diagnosis-Related Groups (APR-DRGs) (version 32) inpatient hospitalizations. These were as follows: asthma; seizure; bronchiolitis and respiratory syncytial virus pneumonia; upper respiratory tract infection; nonbacterial gastroenteritis with nausea and vomiting; cellulitis and/or bacterial skin infection; digestive system diagnosis not elsewhere classified; pneumonia not elsewhere classified; diabetes; and respiratory signs, symptoms, and minor diagnoses. Patients >21 years of age at the initial visit were excluded.

Data were obtained from 2 sources: the Pediatric Health Information System (PHIS) and the hospital’s electronic medical record. The PHIS is a deidentified, administrative database maintained by the Children’s Hospital Association (Lenexa, KS), a consortium of 51 not-for-profit, tertiary-care children’s hospitals in the United States.

An index visit was defined as the initial admission encounter associated with a top 10 APR-DRG. For patients with multiple encounters during the study period, all subsequent hospitalizations within the top 10 APR-DRGs were also considered index visits.

The primary outcome was 7-day all-cause revisits after the index hospitalization. Revisits were defined as ED encounters or admissions after an index visit. Variables reflecting patient demographic, clinical, and hospital characteristics, which may be associated with unplanned hospital returns, were captured for analysis. For ease of comparative analysis, age was categorized into 7 groups based on previous studies: neonatal, ≤30 days; infant, >30 days to 1 year; toddler, >1 to 3 years; child, >3 to 9 years; preteenager, >9 to 12 years; teenager, >12 to 18 years; and young adult, >18 years.7 

The collected patient-related clinical variables were heart rate at discharge10  (normal versus abnormal) and the Pediatric Medical Complexity Algorithm (PMCA) category for identifying chronic medical conditions. We speculated that heart rate at discharge may be associated with return visits on the basis of the pediatric Rothman Index, a novel metric that incorporates several clinical and laboratory parameters to predict readmission risk.11 

The captured hospital variables included length of stay (LOS) in days, surgical indicator (yes or no), ICU flag (yes or no), and weekday versus weekend discharge. A weekday was defined as any day between Monday at 7 am and Friday at 7 pm on the basis of previous studies as well as the unique availability of resources in our local environment.7 

Continuous variables were reported as means with SDs, and categorical variables were presented as frequencies with percentages. Unadjusted and adjusted odds ratio (OR) estimates along with corresponding 95% confidence intervals (CIs) were reported on the basis of the bivariate and multivariable exploratory analyses, respectively, by using generalized estimating equations. Variables with P < .1 from the bivariate analyses were included in the initial regression models. A final model was developed to determine predictors for each of the outcomes, 7-day ED revisits and readmissions, by using the backward model selection approach and retaining only variables with P < .05 through the iterative process. All analyses were conducted by using SAS 9.3 (SAS Institute, Inc, Cary, NC).

The study was approved by the institutional review board.

There were 17 707 top 10 APR-DRG encounters for 13 642 patients identified during this study period. The encounter characteristics are summarized in Table 1. In the study population, the 7-day revisit rate was 4.2% (736 revisits). Bivariate analysis revealed that insurance status, being at the lower and upper ends of the age groups (ie, neonates, infants, teenagers, and adults), longer length of index hospital stay, and presence of a complex chronic condition were more likely to be associated with 7-day revisits (Table 2). Multivariable analysis revealed persistence of these associations.

TABLE 1

Descriptive Statistics: All Encounters, Revisit Subpopulation, and Readmission Subpopulation

7-d Revisit (N = 736)7-d Readmission (N = 416)Total (N = 17 707)
Age, median (IQR), y 2.4 (0.7–9.3) 2.6 (0.7–10.0) 3.1 (1.0–8.3) 
LOS, median (IQR), d 2.0 (1.2–3.6) 2.1 (1.3–3.8) 1.9 (1.2–2.9) 
Race and/or ethnicity, n (%)    
 Hispanic 45 (6.1) 27 (6.5) 958 (5.4) 
 Non-Hispanic African American 418 (56.8) 211 (50.7) 10 325 (58.3) 
 Non-Hispanic white 245 (33.3) 163 (39.2) 5607 (31.7) 
 Other 28 (3.8) 15 (3.6) 817 (4.6) 
Sex, n (%)    
 Male 411 (55.8) 225 (54.1) 9826 (55.5) 
 Female 325 (44.2) 191 (45.9) 7877 (44.5) 
Age (categorical), n (%)    
 Neonatal 22 (3.0) 15 (3.6) 260 (1.5) 
 Infant 208 (28.3) 121 (29.1) 4089 (23.1) 
 Toddler 163 (22.2) 81 (19.5) 4394 (24.8) 
 Child 151 (20.5) 87 (20.9) 4904 (27.7) 
 Preteenager 63 (8.6) 30 (7.2) 1535 (8.7) 
 Teenager 117 (15.9) 72 (17.3) 2379 (13.4) 
 Adult 12 (1.6) 10 (2.4) 146 (0.8) 
ICU, n (%)    
 Yes 38 (5.2) 23 (5.5) 1195 (6.7) 
 No 698 (94.8) 393 (94.5) 16 512 (93.3) 
HR, n (%)    
 Normal 675 (91.7) 383 (92.1) 16 352 (92.4) 
 Abnormal 58 (7.9) 31 (7.5) 1289 (7.3) 
Weekend or weekday, n (%)    
 Weekday 537 (73.0) 301 (72.4) 13 107 (74) 
 Weekend 199 (27.0) 115 (27.6) 4600 (26) 
PMCA, n (%)    
 Complex chronic 299 (40.6) 199 (47.8) 4092 (23.1) 
 Noncomplex chronic 214 (29.1) 105 (25.2) 6852 (38.7) 
 Nonchronic 223 (30.3) 112 (27.0) 6763 (38.2) 
Surgery, n (%)    
 Yes 62 (8.4) 36 (8.7) 1250 (7.1) 
 No 674 (91.6) 380 (91.4) 16 457 (92.9) 
Insurance payer, n (%)    
 Commercial 119 (16.2) 74 (17.8) 3785 (21.4) 
 Government 595 (80.8) 331 (79.6) 13 359 (75.4) 
 Uninsured or unknown 22 (3.0) 11 (2.6) 563 (3.2) 
7-d Revisit (N = 736)7-d Readmission (N = 416)Total (N = 17 707)
Age, median (IQR), y 2.4 (0.7–9.3) 2.6 (0.7–10.0) 3.1 (1.0–8.3) 
LOS, median (IQR), d 2.0 (1.2–3.6) 2.1 (1.3–3.8) 1.9 (1.2–2.9) 
Race and/or ethnicity, n (%)    
 Hispanic 45 (6.1) 27 (6.5) 958 (5.4) 
 Non-Hispanic African American 418 (56.8) 211 (50.7) 10 325 (58.3) 
 Non-Hispanic white 245 (33.3) 163 (39.2) 5607 (31.7) 
 Other 28 (3.8) 15 (3.6) 817 (4.6) 
Sex, n (%)    
 Male 411 (55.8) 225 (54.1) 9826 (55.5) 
 Female 325 (44.2) 191 (45.9) 7877 (44.5) 
Age (categorical), n (%)    
 Neonatal 22 (3.0) 15 (3.6) 260 (1.5) 
 Infant 208 (28.3) 121 (29.1) 4089 (23.1) 
 Toddler 163 (22.2) 81 (19.5) 4394 (24.8) 
 Child 151 (20.5) 87 (20.9) 4904 (27.7) 
 Preteenager 63 (8.6) 30 (7.2) 1535 (8.7) 
 Teenager 117 (15.9) 72 (17.3) 2379 (13.4) 
 Adult 12 (1.6) 10 (2.4) 146 (0.8) 
ICU, n (%)    
 Yes 38 (5.2) 23 (5.5) 1195 (6.7) 
 No 698 (94.8) 393 (94.5) 16 512 (93.3) 
HR, n (%)    
 Normal 675 (91.7) 383 (92.1) 16 352 (92.4) 
 Abnormal 58 (7.9) 31 (7.5) 1289 (7.3) 
Weekend or weekday, n (%)    
 Weekday 537 (73.0) 301 (72.4) 13 107 (74) 
 Weekend 199 (27.0) 115 (27.6) 4600 (26) 
PMCA, n (%)    
 Complex chronic 299 (40.6) 199 (47.8) 4092 (23.1) 
 Noncomplex chronic 214 (29.1) 105 (25.2) 6852 (38.7) 
 Nonchronic 223 (30.3) 112 (27.0) 6763 (38.2) 
Surgery, n (%)    
 Yes 62 (8.4) 36 (8.7) 1250 (7.1) 
 No 674 (91.6) 380 (91.4) 16 457 (92.9) 
Insurance payer, n (%)    
 Commercial 119 (16.2) 74 (17.8) 3785 (21.4) 
 Government 595 (80.8) 331 (79.6) 13 359 (75.4) 
 Uninsured or unknown 22 (3.0) 11 (2.6) 563 (3.2) 

HR, heart rate; IQR, interquartile range.

TABLE 2

Bivariate and Multivariable 7-Day Revisit Results

7-d Revisits
Bivariate ResultsMultivariable Results
OR (95% CI)POR (95% CI)P
LOS, d 1.05 (1.03–1.06) <.001 1.03 (1.01–1.04) <.001 
Sex (female versus male) 0.97 (0.83–1.14) .700 — — 
ICU (yes versus no) 0.75 (0.52–1.07) .110 — — 
HR (normal versus abnormal) 0.89 (0.67–1.19) .450 — — 
Weekend versus weekday 1.06 (0.89–1.27) .498 — — 
Insurance — .006 — .014 
 Government versus commercial 1.40 (1.14–1.72) .001 1.35 (1.10–1.66) .004 
 Uninsured or unknown versus commercial 1.28 (0.81–2.00) .283 1.37 (0.88–2.15) .167 
PMCA — <.001 — <.001 
 Complex chronic versus nonchronic 2.29 (1.90–2.76) <.001 2.67 (2.15–3.32) <.001 
 Noncomplex chronic versus nonchronic 0.95 (0.78–1.15) .576 1.19 (0.96–1.48) .106 
 Surgery (yes versus no) 1.16 (0.87–1.55) .320 — — 
Race — .668 — — 
 African American versus white 0.94 (0.79–1.12) .500 — — 
 Hispanic and/or Latino versus white 1.05 (0.74–1.49) .791 — — 
 Other or unknown versus white 0.81 (0.54–1.20) .296 — — 
Age — <.001 — <.001 
 Neonatal versus child 2.94 (1.95–4.81) <.001 3.72 (2.21–6.27) <.001 
 Infant versus child 1.66 (1.32–2.08) <.001 1.95 (1.53–2.49) <.001 
 Toddler versus child 1.22 (0.96–1.55) .111 1.29 (1.01–1.64) .038 
 Preteenager versus child 1.32 (0.95–1.84) .095 1.24 (0.89–1.73) .196 
 Teenager versus child 1.65 (1.28–2.13) <.001 1.45 (1.12–1.89) .005 
 Adult versus child 2.72 (1.36–5.46) .005 1.72 (0.87–3.41) .118 
7-d Revisits
Bivariate ResultsMultivariable Results
OR (95% CI)POR (95% CI)P
LOS, d 1.05 (1.03–1.06) <.001 1.03 (1.01–1.04) <.001 
Sex (female versus male) 0.97 (0.83–1.14) .700 — — 
ICU (yes versus no) 0.75 (0.52–1.07) .110 — — 
HR (normal versus abnormal) 0.89 (0.67–1.19) .450 — — 
Weekend versus weekday 1.06 (0.89–1.27) .498 — — 
Insurance — .006 — .014 
 Government versus commercial 1.40 (1.14–1.72) .001 1.35 (1.10–1.66) .004 
 Uninsured or unknown versus commercial 1.28 (0.81–2.00) .283 1.37 (0.88–2.15) .167 
PMCA — <.001 — <.001 
 Complex chronic versus nonchronic 2.29 (1.90–2.76) <.001 2.67 (2.15–3.32) <.001 
 Noncomplex chronic versus nonchronic 0.95 (0.78–1.15) .576 1.19 (0.96–1.48) .106 
 Surgery (yes versus no) 1.16 (0.87–1.55) .320 — — 
Race — .668 — — 
 African American versus white 0.94 (0.79–1.12) .500 — — 
 Hispanic and/or Latino versus white 1.05 (0.74–1.49) .791 — — 
 Other or unknown versus white 0.81 (0.54–1.20) .296 — — 
Age — <.001 — <.001 
 Neonatal versus child 2.94 (1.95–4.81) <.001 3.72 (2.21–6.27) <.001 
 Infant versus child 1.66 (1.32–2.08) <.001 1.95 (1.53–2.49) <.001 
 Toddler versus child 1.22 (0.96–1.55) .111 1.29 (1.01–1.64) .038 
 Preteenager versus child 1.32 (0.95–1.84) .095 1.24 (0.89–1.73) .196 
 Teenager versus child 1.65 (1.28–2.13) <.001 1.45 (1.12–1.89) .005 
 Adult versus child 2.72 (1.36–5.46) .005 1.72 (0.87–3.41) .118 

HR, heart rate; —, not applicable.

The 7-day readmission rate was 2.3% (416 readmissions). Bivariate analysis revealed that race (especially African American versus white), being at the lower and upper ends of the age groups (ie, neonates, infants, teenagers, and adults), longer length of index hospital stay, and presence of a complex chronic condition were more likely to be associated with 7-day readmissions (Table 3). Multivariable analysis revealed similar findings in all categories except race.

TABLE 3

Bivariate and Multivariable 7-Day Readmission Results

7-d Readmissions
Bivariate ResultsMultivariable Results
OR (95% CI)POR (95% CI)P
LOS, d 1.05 (1.03–1.07) <.001 1.03 (1.01–1.04) <.001 
Sex (female versus male) 1.04 (0.84–1.29) .692 — — 
ICU (yes versus no) 0.82 (0.51–1.32) .407 — — 
HR (normal versus abnormal) 0.95 (0.63–1.45) .819 — — 
Weekend versus weekday 1.12 (0.89–1.42) .332 — — 
Insurance — .325 — — 
 Government versus commercial 1.22 (0.93–1.59) .155 — — 
 Uninsured or unknown versus commercial 1.00 (0.541–1.86) .992 — — 
PMCA — <.001 — <.001 
 Complex chronic versus nonchronic 3.04 (2.38–3.89) <.001 3.74 (2.80–4.99) <.001 
 Noncomplex chronic versus nonchronic 0.92 (0.71–1.21) .571 1.25 (0.92–1.68) .154 
 Surgery (yes versus no) 1.11 (0.74–1.68) .603 — — 
Race — .015 — — 
 African American versus white 0.70 (0.56–0.88) .002 — — 
 Hispanic and/or Latino versus white 0.93 (0.59–1.46) .742 — — 
 Other or unknown versus white 0.66 (0.39–1.13) .132 — — 
Age — <.001 — <.001 
 Neonatal versus child 3.39 (1.83–6.26) <.001 4.89 (2.53–9.46) <.001 
 Infant versus child 1.66 (1.23–2.23) <.001 2.13 (1.55–2.93) <.001 
 Toddler versus child 1.03 (0.74–1.43) .869 1.14 (0.82–1.58) .445 
 Preteenager versus child 1.09 (0.69–1.73) .707 0.98 (0.62–1.54) .917 
 Teenager versus child 1.78 (1.27–2.49) <.001 1.44 (1.03–2.02) .035 
 Adult versus child 3.92 (1.71–8.99) .001 2.13 (0.96–4.70) .063 
7-d Readmissions
Bivariate ResultsMultivariable Results
OR (95% CI)POR (95% CI)P
LOS, d 1.05 (1.03–1.07) <.001 1.03 (1.01–1.04) <.001 
Sex (female versus male) 1.04 (0.84–1.29) .692 — — 
ICU (yes versus no) 0.82 (0.51–1.32) .407 — — 
HR (normal versus abnormal) 0.95 (0.63–1.45) .819 — — 
Weekend versus weekday 1.12 (0.89–1.42) .332 — — 
Insurance — .325 — — 
 Government versus commercial 1.22 (0.93–1.59) .155 — — 
 Uninsured or unknown versus commercial 1.00 (0.541–1.86) .992 — — 
PMCA — <.001 — <.001 
 Complex chronic versus nonchronic 3.04 (2.38–3.89) <.001 3.74 (2.80–4.99) <.001 
 Noncomplex chronic versus nonchronic 0.92 (0.71–1.21) .571 1.25 (0.92–1.68) .154 
 Surgery (yes versus no) 1.11 (0.74–1.68) .603 — — 
Race — .015 — — 
 African American versus white 0.70 (0.56–0.88) .002 — — 
 Hispanic and/or Latino versus white 0.93 (0.59–1.46) .742 — — 
 Other or unknown versus white 0.66 (0.39–1.13) .132 — — 
Age — <.001 — <.001 
 Neonatal versus child 3.39 (1.83–6.26) <.001 4.89 (2.53–9.46) <.001 
 Infant versus child 1.66 (1.23–2.23) <.001 2.13 (1.55–2.93) <.001 
 Toddler versus child 1.03 (0.74–1.43) .869 1.14 (0.82–1.58) .445 
 Preteenager versus child 1.09 (0.69–1.73) .707 0.98 (0.62–1.54) .917 
 Teenager versus child 1.78 (1.27–2.49) <.001 1.44 (1.03–2.02) .035 
 Adult versus child 3.92 (1.71–8.99) .001 2.13 (0.96–4.70) .063 

HR, heart rate; —, not applicable.

In this study, we identified 3 factors that were associated with an increased risk of both 7-day revisits and 7-day readmissions for children discharged with common problems. These factors included age, LOS, and having a complex chronic medical condition. In addition, insurance status was associated with risk of revisit and race was associated with risk of readmission in the bivariate analysis.

Our study is consistent with a previous study, the results of which revealed younger age to be a risk factor for 7-day readmission.12  In addition, our 2.3% 7-day readmission rate was lower than that reported by Solutions for Patient Safety13  (4%), a collaborative of children’s hospitals dedicated to sharing outcomes and best practices. Interestingly, our results revealed that insurance status was associated with revisits. This may indicate challenges for appropriate transition to home care with certain insurance coverages. Moreover, our results revealed an association with race and early readmission, which may be a surrogate for readiness for discharge from the hospital for certain populations. This may also reflect the absence of necessary resources for home care.

In this study, we add to the current literature by examining pediatric revisits that did not result in readmission. ED revisits are not often included in the traditional definition of readmissions, but our findings support the importance of including this unique subset of pediatric patients in studies examining returns after hospital discharge. In addition, our focus was on early (7-day) return for a cohort of inpatients with the 10 most frequent discharge diagnoses. With regard to pediatric patient returns, we believe that 7 days may be a more meaningful time frame for identifying opportunities for intervention and prevention compared with the 30-day metric frequently used for adult patients.14  Our study was novel in that we combined variables from the PHIS, an administrative database, with patient-level clinical variables abstracted from the electronic medical records, such as heart rate and timing of discharge (weekend versus weekday), to assess associations for revisits.

The results of our study are consistent with previous data, revealing an association of 30-day readmissions in patients with complex chronic medical conditions. Using 7-day revisits may help identify missed opportunities for discharge preparation that may help reduce the need for return visits. Missed opportunities may stem from a lack of discharge readiness, a lack of caregiver understanding of illness management, a lack of access to follow-up care, or the persistence or progression of disease. In isolation, unlike in adult populations with chronic diseases, pediatric readmissions may be a flawed hospital performance measure.15,16  However, the cumulative annual financial impact of these return visits can be significant for both hospitals and patient families. We found that younger patients were at a higher risk for revisits and readmissions. This population may benefit from further interventions at discharge, such as formal handoffs to primary care providers before discharge, assistance with medications, arranging follow-up transportation, dedicated education regarding postdischarge care, and early follow-up with the primary care provider.

This study had several limitations. It includes data from 1 pediatric institution. In addition, ED returns to other hospitals or to primary care offices were not evaluated. We also did not assess preventability or rationales for revisits.4,17  Although a relationship between medications and risk of return visits has been previously described, we did not evaluate medication use at discharge.18  Lastly, we did not have information regarding adherence to evidence-based practices during transition from the ED to inpatient units, all of which have been identified as factors that may influence readmissions.1924 

In our study, we identified patient characteristics that may be associated with risk for early hospital return among pediatric patients discharged with the 10 most frequent APR-DRGs. This group can be targeted for intervention and enhanced postdischarge care coordination.

Dr Pershad conceptualized the study, helped with the design, and drafted the initial manuscript; Dr Jones and Mr Harrell conducted the statistical analysis and reviewed and revised the manuscript; Ms Ajayi and Ms Giles coordinated and supervised data collection; Dr Cross helped with study design; Dr Huang helped with study design and data collection instruments and critically reviewed the manuscript; and all authors approved the final manuscript as submitted.

FUNDING: No external funding.

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Competing Interests

POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.