OBJECTIVES:

The role of ambulatory follow-up after pediatric asthma hospitalization in preventing long-term readmissions is not well studied among hospitalized minority children. We sought to examine the association of ambulatory visit attendance with long-term readmission as well as identify predictors of attendance at these visits among urban, minority children with asthma.

METHODS:

This 2-year retrospective cohort study analyzed data for urban, minority children 2 to 18 years old who were hospitalized for asthma at a tertiary-care center. Using bivariate and multivariable analyses, we examined the independent associations of attending a postdischarge visit (within 14 days), a routine visit (within 3 months of discharge or postdischarge visit), and both visits with likelihood of asthma readmission within 365 days. We also identified predictors of attending each of these visits.

RESULTS:

The study included 613 children with a median age of 5 years. Of the children, 57.4% were boys, 51.2% were Hispanic, and 36.9% were non-Hispanic African American. One-quarter of the children were readmitted within 365 days of the index hospitalization. Children who attended the postdischarge visit had lower odds of long-term readmission (odds ratio = 0.65; 95% confidence interval = 0.43–0.97). However, attending a routine or both a postdischarge and a routine visit was not significantly associated with long-term readmission. Children with previous sick visits, complicating comorbidities, or more severe exacerbation were more likely to attend visits.

CONCLUSIONS:

Attending a postdischarge visit within 14 days of hospitalization is associated with a lower likelihood of long-term readmission. Those with a previous sick visit, more severe disease, or exacerbation are more likely to attend ambulatory visits after hospital discharge. This knowledge is important in fostering quality care transitions for children with asthma.

Asthma is one of the most prevalent chronic conditions in children and a leading cause of hospitalization.1  Readmissions are common, with up to 17% of children being readmitted within 1 year.2  Children who are older (12–18 years), of African American race and/or ethnicity, with public insurance, with a coexistent complex chronic disease, or history of previous-year asthma admission are more likely to be readmitted.24  Additional risk factors include lack of a medical home and primary care access and poor medication adherence.5,6 

Timely ambulatory follow-up after an asthma exacerbation is recommended to assess severity, evaluate control, and modify controller medications.7  Patients who attend a hospital discharge visit are 40% more likely to be treated with inhaled corticosteroids.8  Despite this, the overall rate of missed postdischarge visits is 28% to 62% among children.9  Routine visits offer another opportunity to evaluate control and reiterate medication adherence, which decreases over time and is paramount to preventing future admissions.10,11 

Although lack of timely ambulatory follow-up is associated with higher readmission rates for adults,12,13  there is limited literature on the role of ambulatory visit attendance in preventing readmissions for minority children. One study found that children of minority race and/or ethnicity were less likely to receive controller medications during follow-up appointments but did not analyze readmissions.14  Knowledge is also limited about predictors of attendance at these visits, with current literature reflecting discharge from the emergency department (ED).15 

To address these gaps, we examined whether attending a postdischarge visit (within 14 days of discharge), a routine visit (within 3 months of postdischarge visit or 3 months of discharge), or both is associated with decreased likelihood of long-term asthma readmissions among urban, minority children given their disproportionate disease burden.2  We also identified predictors of attendance at these visits. We hypothesized that children with asthma and postdischarge and/or routine visits were less likely to be readmitted within 365 days and those with more severe asthma would attend follow-up visits more.

This retrospective cohort study reviewed charts of children discharged from an urban, tertiary-care, academic hospital between June 1, 2014, and May 30, 2016. We queried our clinical research database, Looking Glass Clinical Analytics (Clinical Looking Glass; Streamline Health, Atlanta, Georgia),16  to identify 2- to 18-year-olds discharged with an All Patient Refined Diagnosis-Related Group (APR-DRG) of asthma (141; n = 1591) and confirmed the cohort through chart review (Supplemental Fig 1). Children <2 years old were excluded because of the diagnostic overlap between asthma and bronchiolitis. The index admission was the first asthma hospitalization within the study period. Because this was a single-center study and ambulatory health record access was needed, only children receiving primary care at the hospital’s clinics were retained (n = 787). This was determined by an outpatient visit (health maintenance, vaccine encounter, or sick visit) within 18 months before the index hospitalization. Among these, children with coexistent complex chronic diseases (congenital heart disease, prematurity, sickle cell disease, neuromuscular disorders, structural airway malformations, or immunodeficiency) were excluded (n = 164) given their contribution to higher readmission risk.2  Children readmitted within 14 days of discharge (n = 10) were also excluded because they were readmitted before having the chance to attend a postdischarge visit. Children readmitted before the chance to follow-up at 3 months (n = 16) were also excluded from analysis of the routine visit. Readmission and follow-up of children at outside institutions were not measured. All ambulatory records 365 days from the index hospital discharge were reviewed. This study was approved by the institutional review board at the Albert Einstein College of Medicine.

Demographic variables retrieved included age (2–11 vs 12–18 years), sex, primary language spoken (non-English versus English), race and/or ethnicity (Hispanic, non-Hispanic African American, non-Hispanic other, or unavailable), and socioeconomic status (SES). Age was dichotomized given the higher readmission odds for adolescents.2  SES was calculated from small census tract and block data on the basis of home address and is a z score representing the deviation of this value from the mean of the New York state population.17  Index hospitalization variables included length of stay, need for PICU admission, need for magnesium, APR-DRG severity of illness (mild, moderate, severe, or extreme), controller medication prescription at discharge, and documentation of a scheduled postdischarge visit. Postdischarge variables included discharge date, date of first attended visit, documentation of routine (≤3 months) asthma follow-up at that visit, date of second attended visit addressing asthma symptoms, and number of ED visits and readmissions within 365 days of the index discharge.

Measures of baseline asthma disease severity 1 year before the index hospitalization included number of: ED visits, hospitalizations, asthma sick visits (acute exacerbation requiring bronchodilator treatment or systemic steroids), or asthma scheduled visits (asthma symptoms were addressed in the absence of exacerbation). A history of a PICU admission, visit to an asthma specialist, use of controller medications (inhaled corticosteroids, montelukast, and/or an inhaled steroid or long-acting bronchodilator combination inhaler), environmental exposures (tobacco, dogs and/or cats, mice, cockroaches, and/or mold), and presence of complicating comorbidities (obesity, allergic rhinitis, eczema, gastroesophageal reflux disease, and/or obstructive sleep apnea) were also collected.18  Asthma severity based on controller medication use in the year before the index admission was classified per the Expert Panel Report 3 guidelines as intermittent, mild, moderate, or severe persistent.7  All demographic variables and APR-DRG severity of illness were collected electronically (K.S.P.). All other variables were collected via manual chart review (D.E.R.), and the review was overseen and confirmed (K.S.P.).

Our study goal was to determine if there was an association between attending a postdischarge visit (within 14 days of discharge), a routine visit (within 3 months of postdischarge visit or 3 months of discharge, when asthma was addressed), or both visits and having at least 1 readmission for asthma within 365 days of the index discharge. We also examined the associations of demographic and clinical variables, including baseline asthma severity and severity of the index hospitalization, with attending postdischarge, routine, or both visits.

We examined the bivariate associations of readmission for asthma within 365 days with attendance at postdischarge, routine, or both visits and with demographic and clinical characteristics of the children using χ2 or Fisher’s exact tests. We then developed 3 separate multivariable logistic regression models to determine if attending a postdischarge, routine, or both visits were independently associated with having an asthma readmission within 365 days when adjusting for covariates. A similar approach was taken with multivariable logistic regression analysis to determine the independent predictors of attending each type of visit. A manual backward selection procedure was used in model building, with full models including variables with P < .20 in bivariate testing. Age, sex, race and/or ethnicity, and asthma severity based on medication were included in each tested model but allowed to drop out if their contribution was not statistically significant. Covariates were removed in a stepwise manner until all remaining were significant at P < .05. After each step, a likelihood-ratio test to assess model fit was performed. Data were analyzed by using Stata 14.2 (Stata Corp, College Station, TX).

Among the 613 children retained in the analysis, 592 (96.6%) had another visit in our system within 1 year of the index discharge. Our population was 57.4% boys, 51.2% Hispanic, 36.9% non-Hispanic African American, and 10.8% non-Hispanic of other race. The median SES z score was −3.5, or 3.5 SDs below the average for New York state (interquartile range −6.7 to −1.4). The median age was 5 years (interquartile range 3–9). Ninety-two percent of the cohort identified as English speaking. On the basis of medication use, 43.2% of children had intermittent, 28.2% had mild-persistent, 21.2% had moderate-persistent, and 7.3% had severe-persistent asthma.

Table 1 shows the association of clinical and demographic variables with readmission. Children who attended a postdischarge visit were less likely to have 1 or more readmissions within 365 days of the index discharge (P = .03). Additional variables associated with readmission were an ED visit, asthma hospitalization, a scheduled visit for asthma in the previous year, history of PICU admission, disease severity, environmental exposures, a PICU stay during the index hospitalization, controller medication being prescribed at discharge, and index hospitalization APR-DRG severity of illness.

TABLE 1

Bivariate Analysis of Variables Associated With 365-Day Readmission

VariablesTotal (N = 613), n1+ Readmission (N = 152; 24.8%), n (%)OR (95% CI)P
Attendance at ambulatory visits     
Postdischarge visit   0.65 (0.44–0.95) .03 
  No 197 60 (30.0)   
  Yes 416 92 (22.1)   
Routine visita   1.44 (0.98–2.14) .07 
  No 265 51 (19.3)   
  Yes 332 85 (25.6)   
Both visitsa   0.95 (0.64–1.41) .82 
  No 368 85 (23.1)   
  Yes 229 51 (22.3)   
Demographics     
Age, y   1.05 (0.63–1.73) .86 
  2–12 519 128 (24.7)   
  12–18 94 24 (25.5)   
Sex   0.89 (0.61–1.29) .54 
  Female 261 68 (26.1)   
  Male 352 84 (23.9)   
Race and/or ethnicityb    .60 
  Hispanic 314 76 (24.2) Reference  
  Non-Hispanic African American 226 62 (27.4) 1.18 (0.80–1.75)  
  Non-Hispanic other 66 13 (19.7) 0.77 (0.40–1.49)  
  Unavailable 1 (14.3) 0.52 (0.06–4.40)  
Language   0.70 (0.37–1.34) .28 
  Non-English 48 15 (31.2)   
  English 565 137 (24.2)   
Measures of baseline asthma disease severity     
Asthma hospitalization in previous year   3.59 (2.36–5.46) <.001 
  None 490 95 (19.4)   
  1+ 123 57 (46.3)   
ED visit in previous year   1.88 (1.30–2.72) .001 
  None 350 69 (19.7)   
  1+ 263 83 (31.6)   
Asthma sick visit in previous year   1.20 (0.83–1.73) .34 
  None 351 82 (23.4)   
  1+ 262 70 (26.7)   
Asthma scheduled visit in previous year   1.94 (1.26–2.98) .002 
  None 194 33 (17.0)   
  1+ 419 119 (28.4)   
Previous PICU admission   3.15 (1.91–5.18) <.001 
  None 538 117 (21.7)   
  Any 75 35 (46.7)   
Asthma severity    <.001 
  Mild intermittent 265 47 (17.7) Reference  
  Mild persistent 173 45 (26.0) 1.63 (1.03–2.59)  
  Moderate persistent 130 41 (31.5) 2.14 (1.31–3.47)  
  Severe 45 19 (42.2) 3.39 (1.73–6.63)  
Exposure to smoke, dogs and/or cats, mice, cockroaches, or mold   1.54 (1.05–2.27) .03 
  None 427 95 (22.2)   
  Any 186 57 (30.6)   
Visit with asthma specialist in previous year   1.82 (1.14–2.90) .01 
  No 516 118 (22.9)   
  Yes 97 34 (35.1)   
History of asthma comorbidityc   1.22 (0.82–1.80) .32 
  None 214 48 (22.4)   
  Any 399 104 (26.1)   
Measures of severity of index hospitalization     
PICU stay during index hospitalization   2.77 (1.74–4.42) <.001 
  No 523 113 (21.6)   
  Yes 90 39 (43.3)   
Controller medication prescribed at discharge   2.17 (1.41–3.33) <.001 
  No 206 33 (16.0)   
  Yes 407 119 (29.2)   
Postdischarge visit scheduled   1.29 (0.89–1.86) .18 
  No 295 66 (22.4)   
  Yes 318 86 (27.0)   
APR-DRG severity of illness    .049 
  Minor 359 85 (23.7) Reference  
  Moderate 209 49 (23.4) 0.99 (0.66–1.48)  
  Major or extreme 45 18 (40.0) 2.15 (1.13–4.09)  
Other measure: need for routine follow-up documented at postdischarge visitd   0.88 (0.55–1.40) .58 
No 166 39 (23.5)   
Yes 250 53 (21.2)   
VariablesTotal (N = 613), n1+ Readmission (N = 152; 24.8%), n (%)OR (95% CI)P
Attendance at ambulatory visits     
Postdischarge visit   0.65 (0.44–0.95) .03 
  No 197 60 (30.0)   
  Yes 416 92 (22.1)   
Routine visita   1.44 (0.98–2.14) .07 
  No 265 51 (19.3)   
  Yes 332 85 (25.6)   
Both visitsa   0.95 (0.64–1.41) .82 
  No 368 85 (23.1)   
  Yes 229 51 (22.3)   
Demographics     
Age, y   1.05 (0.63–1.73) .86 
  2–12 519 128 (24.7)   
  12–18 94 24 (25.5)   
Sex   0.89 (0.61–1.29) .54 
  Female 261 68 (26.1)   
  Male 352 84 (23.9)   
Race and/or ethnicityb    .60 
  Hispanic 314 76 (24.2) Reference  
  Non-Hispanic African American 226 62 (27.4) 1.18 (0.80–1.75)  
  Non-Hispanic other 66 13 (19.7) 0.77 (0.40–1.49)  
  Unavailable 1 (14.3) 0.52 (0.06–4.40)  
Language   0.70 (0.37–1.34) .28 
  Non-English 48 15 (31.2)   
  English 565 137 (24.2)   
Measures of baseline asthma disease severity     
Asthma hospitalization in previous year   3.59 (2.36–5.46) <.001 
  None 490 95 (19.4)   
  1+ 123 57 (46.3)   
ED visit in previous year   1.88 (1.30–2.72) .001 
  None 350 69 (19.7)   
  1+ 263 83 (31.6)   
Asthma sick visit in previous year   1.20 (0.83–1.73) .34 
  None 351 82 (23.4)   
  1+ 262 70 (26.7)   
Asthma scheduled visit in previous year   1.94 (1.26–2.98) .002 
  None 194 33 (17.0)   
  1+ 419 119 (28.4)   
Previous PICU admission   3.15 (1.91–5.18) <.001 
  None 538 117 (21.7)   
  Any 75 35 (46.7)   
Asthma severity    <.001 
  Mild intermittent 265 47 (17.7) Reference  
  Mild persistent 173 45 (26.0) 1.63 (1.03–2.59)  
  Moderate persistent 130 41 (31.5) 2.14 (1.31–3.47)  
  Severe 45 19 (42.2) 3.39 (1.73–6.63)  
Exposure to smoke, dogs and/or cats, mice, cockroaches, or mold   1.54 (1.05–2.27) .03 
  None 427 95 (22.2)   
  Any 186 57 (30.6)   
Visit with asthma specialist in previous year   1.82 (1.14–2.90) .01 
  No 516 118 (22.9)   
  Yes 97 34 (35.1)   
History of asthma comorbidityc   1.22 (0.82–1.80) .32 
  None 214 48 (22.4)   
  Any 399 104 (26.1)   
Measures of severity of index hospitalization     
PICU stay during index hospitalization   2.77 (1.74–4.42) <.001 
  No 523 113 (21.6)   
  Yes 90 39 (43.3)   
Controller medication prescribed at discharge   2.17 (1.41–3.33) <.001 
  No 206 33 (16.0)   
  Yes 407 119 (29.2)   
Postdischarge visit scheduled   1.29 (0.89–1.86) .18 
  No 295 66 (22.4)   
  Yes 318 86 (27.0)   
APR-DRG severity of illness    .049 
  Minor 359 85 (23.7) Reference  
  Moderate 209 49 (23.4) 0.99 (0.66–1.48)  
  Major or extreme 45 18 (40.0) 2.15 (1.13–4.09)  
Other measure: need for routine follow-up documented at postdischarge visitd   0.88 (0.55–1.40) .58 
No 166 39 (23.5)   
Yes 250 53 (21.2)   

Unadjusted ORs are presented.

a

Total n = 597 because 16 children were readmitted before they had a chance for routine follow-up.

b

Fisher’s exact test.

c

Asthma comorbidity was defined as a condition that leads to more complicated asthma, including the presence of obesity, allergic rhinitis, eczema, gastroesophageal reflux disease, and/or obstructive sleep apnea.18 

d

Includes only children who attended a postdischarge visit (n = 416; n = 92 for 1+ readmission).

Having identified these clinical factors as well as follow-up visits as being significantly associated with readmission in bivariate analyses, we conducted multivariable analysis to identify independent predictors of readmission. Children who attended a postdischarge visit were less likely to be readmitted than children who did not attend (odds ratio [OR] = 0.65; 95% confidence interval [CI] = 0.43–0.97; Table 2). However, there was no association between attending a routine visit and readmission. Similarly, children who attended both a postdischarge visit and a routine visit were not less likely to be readmitted. In addition to attendance at a postdischarge visit, variables associated with readmission in all models include having an asthma hospitalization in the year before the index hospitalization and having a PICU stay during the index hospitalization (Table 2).

TABLE 2

Three Multivariable Logistic Regression Models Analyzing Variables Associated With 365-Day Readmission by Timing of Ambulatory Visit Attended (Variable of Interest)

OR (95% CI)
Model 1a (N = 613)  
Attended postdischarge visit 0.65 (0.43–0.97) 
  1+ asthma hospitalization in previous year versus none 3.15 (2.03–4.87) 
  1+ ED visit in previous year versus none 1.56 (1.05–2.30) 
  PICU stay during index hospitalization versus none 2.78 (1.70–4.53) 
Model 2a (N = 597)  
Attended routine visit 1.4 (0.91–2.08) 
  1+ asthma hospitalization in previous year versus none 3.43 (2.17–5.42) 
  Any previous PICU admission versus none 1.91 (1.08–3.36) 
  PICU stay during index hospitalization versus none 2.42 (1.45–4.05) 
Model 3a (N = 597)  
Attended both visits 0.89 (0.58–1.36) 
  1+ asthma hospitalization in previous year versus none 3.47 (2.20–5.49) 
  Any previous PICU admission versus none 1.84 (1.05–3.25) 
  PICU stay during index hospitalization versus none 2.54 (1.52–4.26) 
OR (95% CI)
Model 1a (N = 613)  
Attended postdischarge visit 0.65 (0.43–0.97) 
  1+ asthma hospitalization in previous year versus none 3.15 (2.03–4.87) 
  1+ ED visit in previous year versus none 1.56 (1.05–2.30) 
  PICU stay during index hospitalization versus none 2.78 (1.70–4.53) 
Model 2a (N = 597)  
Attended routine visit 1.4 (0.91–2.08) 
  1+ asthma hospitalization in previous year versus none 3.43 (2.17–5.42) 
  Any previous PICU admission versus none 1.91 (1.08–3.36) 
  PICU stay during index hospitalization versus none 2.42 (1.45–4.05) 
Model 3a (N = 597)  
Attended both visits 0.89 (0.58–1.36) 
  1+ asthma hospitalization in previous year versus none 3.47 (2.20–5.49) 
  Any previous PICU admission versus none 1.84 (1.05–3.25) 
  PICU stay during index hospitalization versus none 2.54 (1.52–4.26) 

Manual backward selection procedure was used. Bivariate analyses performed with n = 597 led to the same conclusions for model inclusion as in the analysis presented in Table 1. Sixteen children were removed from routine visit and both visit models because they were readmitted before they had the chance for routine follow-up. Variables that are significant (α <0.05) in final model are presented.

a

Variables included in full model included the following: type of visit attended (variable of interest); age; sex; race and/or ethnicity; asthma hospitalization in the previous year; ED visit in the previous year; asthma scheduled visit in the previous year; previous PICU admission; asthma severity; exposure to smoke, dogs and/or cats, mice, cockroaches, or mold; visit with an asthma specialist in the previous year; PICU stay during the index hospitalization; controller medication prescribed at discharge; postdischarge visit scheduled; and index hospitalization APR-DRG severity of illness.

There were 416 (67.9%) children who attended a postdischarge visit (Table 3). Independent predictors of attendance included an asthma sick visit in year before the index hospitalization, higher index hospitalization APR-DRG severity of illness, and documentation of a scheduled postdischarge visit. Children with a history of PICU admission or those discharged on a controller medication were less likely to follow-up. English-speaking families also tended to be less likely to attend the follow-up, although this reached only borderline significance (OR = 0.46; 95% CI = 0.22–1.00).

TABLE 3

Bivariate and Multivariable Analysis of Variables Associated With Attendance at Postdischarge Visit

VariablesTotal (N = 613), nAttended Visit (N = 416; 67.9%), n (%)OR (95% CI)aOR (95% CI)a
Demographics     
Age, y   0.72 (0.46–1.14) — 
  2–12 519 358 (69.0)   
  12–18 94 58 (61.7)   
Sex   0.97 (0.69–1.37) — 
  Female 261 178 (68.2)   
  Male 352 238 (67.6)   
Race and/or ethnicityb     
  Hispanic 314 209 (66.6) Reference  
  Non-Hispanic African American 226 154 (68.1) 1.07 (0.75–1.55)  
  Non-Hispanic other 66 48 (72.7) 1.34 (0.74–2.42)  
  Unavailable 5 (71.4) 1.26 (0.24–6.58)  
Language   0.46 (0.22–0.98) 0.46 (0.22–1.00) 
  Non-English 48 39 (81.3)   
  English 565 377 (66.7)   
Measures of baseline asthma disease severity     
Asthma hospitalization in previous year   0.82 (0.54–1.23) — 
  None 490 337 (68.8)   
  1+ 123 79 (64.2)   
ED visit in previous year   0.80 (0.57–1.12) — 
  None 350 245 (70.0)   
  1+ 263 171 (65.0)   
Asthma sick visit in previous year   1.46 (1.03–2.07) 1.47 (1.02–2.14) 
  None 351 226 (64.4)   
  1+ 262 190 (72.5)   
Asthma scheduled visit in previous year   0.95 (0.66–1.38) — 
  None 194 133 (68.6)   
  1+ 419 283 (67.5)   
Previous PICU admission   0.59 (0.36–0.97) 0.55 (0.32–0.93) 
  None 538 373 (69.3)   
  Any 75 43 (57.3)   
Asthma severity     
  Mild intermittent 265 189 (71.3) Reference  
  Mild persistent 173 111 (64.2) 0.72 (0.48–1.08)  
  Moderate persistent 130 87 (66.9) 0.81 (0.52–1.28)  
  Severe 45 29 (64.4) 0.73 (0.37–1.42)  
Exposure to smoke, dogs and/or cats, mice, cockroaches, or mold   0.99 (0.69–1.43) — 
  None 427 290 (67.9)   
  Any 186 126 (67.7)   
Visit with asthma specialist in previous year   1.20 (0.75, 1.93) — 
  No 516 347 (67.3)   
  Yes 97 69 (71.1)   
History of asthma comorbidityc   1.49 (1.05, 2.11) 1.79 (1.23–2.61) 
  None 214 133 (62.1)   
  Any 399 283 (70.9)   
Measures of severity of index hospitalization     
PICU stay during index hospitalization   1.12 (0.69–1.82) — 
  No 523 353 (67.5)   
  Yes 90 63 (70.0)   
Controller medication prescribed at discharge   0.66 (0.45–0.95) 0.55 (0.36–0.82) 
  No 206 152 (73.8)   
  Yes 407 264 (64.9)   
Postdischarge visit scheduled   1.96 (1.39–2.76) 2.24 (1.56–3.23) 
  No 295 178 (60.3)   
  Yes 318 238 (74.8)   
APR-DRG severity of illness     
  Minor 359 235 (65.5) Reference Reference 
  Moderate 209 143 (68.4) 1.14 (0.80–1.65) 1.07 (0.73–1.57) 
  Major or extreme 45 38 (84.4) 2.86 (1.24–6.60) 4.08 (1.69–9.83) 
VariablesTotal (N = 613), nAttended Visit (N = 416; 67.9%), n (%)OR (95% CI)aOR (95% CI)a
Demographics     
Age, y   0.72 (0.46–1.14) — 
  2–12 519 358 (69.0)   
  12–18 94 58 (61.7)   
Sex   0.97 (0.69–1.37) — 
  Female 261 178 (68.2)   
  Male 352 238 (67.6)   
Race and/or ethnicityb     
  Hispanic 314 209 (66.6) Reference  
  Non-Hispanic African American 226 154 (68.1) 1.07 (0.75–1.55)  
  Non-Hispanic other 66 48 (72.7) 1.34 (0.74–2.42)  
  Unavailable 5 (71.4) 1.26 (0.24–6.58)  
Language   0.46 (0.22–0.98) 0.46 (0.22–1.00) 
  Non-English 48 39 (81.3)   
  English 565 377 (66.7)   
Measures of baseline asthma disease severity     
Asthma hospitalization in previous year   0.82 (0.54–1.23) — 
  None 490 337 (68.8)   
  1+ 123 79 (64.2)   
ED visit in previous year   0.80 (0.57–1.12) — 
  None 350 245 (70.0)   
  1+ 263 171 (65.0)   
Asthma sick visit in previous year   1.46 (1.03–2.07) 1.47 (1.02–2.14) 
  None 351 226 (64.4)   
  1+ 262 190 (72.5)   
Asthma scheduled visit in previous year   0.95 (0.66–1.38) — 
  None 194 133 (68.6)   
  1+ 419 283 (67.5)   
Previous PICU admission   0.59 (0.36–0.97) 0.55 (0.32–0.93) 
  None 538 373 (69.3)   
  Any 75 43 (57.3)   
Asthma severity     
  Mild intermittent 265 189 (71.3) Reference  
  Mild persistent 173 111 (64.2) 0.72 (0.48–1.08)  
  Moderate persistent 130 87 (66.9) 0.81 (0.52–1.28)  
  Severe 45 29 (64.4) 0.73 (0.37–1.42)  
Exposure to smoke, dogs and/or cats, mice, cockroaches, or mold   0.99 (0.69–1.43) — 
  None 427 290 (67.9)   
  Any 186 126 (67.7)   
Visit with asthma specialist in previous year   1.20 (0.75, 1.93) — 
  No 516 347 (67.3)   
  Yes 97 69 (71.1)   
History of asthma comorbidityc   1.49 (1.05, 2.11) 1.79 (1.23–2.61) 
  None 214 133 (62.1)   
  Any 399 283 (70.9)   
Measures of severity of index hospitalization     
PICU stay during index hospitalization   1.12 (0.69–1.82) — 
  No 523 353 (67.5)   
  Yes 90 63 (70.0)   
Controller medication prescribed at discharge   0.66 (0.45–0.95) 0.55 (0.36–0.82) 
  No 206 152 (73.8)   
  Yes 407 264 (64.9)   
Postdischarge visit scheduled   1.96 (1.39–2.76) 2.24 (1.56–3.23) 
  No 295 178 (60.3)   
  Yes 318 238 (74.8)   
APR-DRG severity of illness     
  Minor 359 235 (65.5) Reference Reference 
  Moderate 209 143 (68.4) 1.14 (0.80–1.65) 1.07 (0.73–1.57) 
  Major or extreme 45 38 (84.4) 2.86 (1.24–6.60) 4.08 (1.69–9.83) 

aOR, adjusted odds ratio; —, not applicable.

a

Manual backward selection procedure was used. Variables included in full model were as follows: age; sex; race and/or ethnicity; language; ED visit in the previous year; asthma sick visit in the previous year; previous PICU admission; asthma severity; history of asthma comorbidity; controller medication prescribed at discharge; postdischarge visit scheduled; and index hospitalization APR-DRG severity of illness. Variables that were significant (α < .05) in the final model are presented. The model including language was a significantly better fit than the model excluding language when using the likelihood-ratio test.

b

Fisher’s exact test.

c

Asthma comorbidity was defined as a condition that leads to more complicated asthma, including the presence of obesity, allergic rhinitis, eczema, gastroesophageal reflux disease, and/or obstructive sleep apnea.18 

Sixteen children were readmitted after their postdischarge visit before having a chance for routine follow-up and so were excluded from further analysis. More than half of the included children (332 of 597) attended a routine visit (Supplemental Table 4), and more than one-third (229 of 597) attended both a postdischarge and a routine visit (Supplemental Table 5). Children with an asthma sick visit in the year before the index hospitalization, asthma comorbidities, or higher index hospitalization APR-DRG severity of illness were more likely to attend these visits. English-speaking families were less likely to attend the routine visit (OR 0.46; 95% CI 0.24–0.89). Additionally, when providers documented the need for follow-up at the postdischarge visit, children were 2 times more likely to return for a routine visit (unadjusted OR = 2.3; 95% CI = 1.49–3.39). Although this occurred only 61% of the time, it was not associated with readmission (P = .97; Table 1).

To our knowledge, this is the first study to investigate the association of ambulatory follow-up with risk of long-term readmission among minority children with asthma. Children seen in the ambulatory setting within 14 days of discharge were less likely to be readmitted, but attendance at both a postdischarge and a routine visit was not associated with fewer readmissions. Children with higher ambulatory use before the index hospitalization and a more severe hospital course were more likely to attend all visit types. Additionally, documentation of ambulatory follow-up at both hospital discharge and the postdischarge visit was associated with higher attendance.

Our findings validate a recent single-center quality improvement initiative in Hawaii that found similar baseline rates of attendance at postdischarge visits (69%), which improved after interventions to comply with Children’s Asthma Care measures.19  The authors concluded that postdischarge visit attendance is associated with lower rates of asthma readmissions. However, they managed readmissions for 3 to 6 months postdischarge and do not report longer time intervals, which differs from our study. Although we found that children who attend a visit immediately postdischarge are less likely to be readmitted, those who attend routinely (suggesting good medical home access) are not less likely to be readmitted long-term. This suggests that long-term readmission rates may be determined primarily by disease severity. Furthermore, it is likely that multiple factors are necessary to prevent readmissions even with appropriate access to a medical home. Although we do not have details on medication adherence and other interventions, such as home-allergen exposure remediation, that decrease asthma burden,20  we speculate that these additional factors may be more prevalent in families who attended a postdischarge visit. Furthermore, the decrease of ∼50% in the number of children seen for postdischarge visits and for routine visits identifies an area of improvement for our system and may have influenced the strength of the association between routine visits and readmissions.

Because ambulatory visit attendance may prevent readmissions, even if short-term, we investigated the factors associated with attending ambulatory visits after hospitalization, which is an understudied area of pediatric research. Children who were seen for an asthma sick visit in the year before the index hospitalization, had a complicating asthma comorbidity, or experienced a more severe index hospital course were more likely to attend visits in the year after hospitalization. Additionally, documentation of a scheduled postdischarge visit was associated with a likelihood of visit attendance that was 2 times higher. This result was replicated when we analyzed documentation of a need for a routine follow-up visit. However, providers appropriately documented the need for routine follow-up only 61% of the time, suggesting suboptimal provider compliance with National Heart, Lung, and Blood Institute guidelines on monitoring asthma control.7  Our observation extends findings from a previous study that linked a follow-up appointment made from the ED to greater likelihood of visit attendance within 4 weeks of ED discharge to a hospital admission for asthma.15  Scheduling and documenting follow-up visits before hospital discharge are likely key interventions for increasing follow-up, which may play a role in preventing readmissions and should be a focus of future quality improvement efforts.21 

To date, most studies have focused on predictors of ambulatory follow-up after an ED visit rather than asthma hospitalization. Zorc et al15  found asthma severity, as measured by health care use (ED visits and hospitalizations) and controller medication use, was associated with ambulatory follow-up. Although we validate the association of previous asthma burden with ambulatory follow-up, our findings differ on the association of controller medication prescription with ambulatory visits. These differences may be due to ethnic differences because Zorc et al15  studied a primarily African American population who spoke English, and we studied a primarily Hispanic population with both English-speaking and non–English-speaking subjects. The limitation of caregiver recall and abstraction of chart documentation may also explain the divergent results.

Contrary to our prediction and findings from previous studies,8  children with a previous history of PICU admission and those discharged on a controller medication were less likely to attend a postdischarge visit. In our study, controller medications prescribed at or before discharge were associated with a decreased likelihood of attendance, although details on the timing of controller medication prescription were not available for the previous study.8  This, in addition to population differences (such as race and/or ethnicity and disease severity), may potentially underlie the disparate findings. On the basis of these findings and in addition to the association of previous PICU admission with future admissions, we speculate that a subset of children who suffer from asthma for a longer time or have more severe asthma may not follow-up with their pediatrician postdischarge because their caregivers either become accustomed to managing this chronic, episodic condition at home or are unaware of the chronic recurrent nature of the disease. These caregivers may fail to recognize the importance of routine follow-up in decreasing disease morbidity, highlighting a subset of caregivers who will benefit from additional asthma education by primary care providers during routine follow-up visits.

Our study fills an essential, recognized literature gap by examining the role of primary care follow-up after an inpatient asthma hospitalization in a pediatric population.12  We believe the quality of content covered, including adherence to controller medications, symptom monitoring, and early initiation of albuterol in the setting of an exacerbation, is just as, if not more, important than simply attending the visit. However, we found that more than one-third of providers did not document the need for routine asthma follow-up care during the postdischarge visit. A systematic analysis of the impact of ambulatory follow-up after an asthma ED visit or hospitalization also suggests that visit content is key to improving outcomes.22  However, the studies reviewed focused on both adult and pediatric patients, were primarily ED focused, and did not address the association of routine follow-up visits with readmission, as was done in our study. We speculate that a lack of attention to visit content may explain the mixed results reported by previous studies that analyzed the benefit of ambulatory follow-up on health care use.23,24  We also identify several areas of investigation to further elucidate the contribution of disease burden and that of ability to attend ambulatory visits to readmissions.

Our study has several limitations. Despite the large sample size, this is a single-center study of a low-income, minority population. These children received primary care at a tertiary-care center and thus had interprofessional care teams or providers and good access, which may differ from children who do not have this resource. In addition, we did not include children with complex chronic illnesses that may worsen asthma severity and contribute to higher health care use. These factors may limit the generalizability of our results. In addition, data were abstracted from the electronic medical record and chart review. Thus, they were subject to human entry error and limited by the reliability and presence of covariate documentation. To minimize this bias in the cohort formation, eligibility criteria were confirmed during chart review. To increase the accuracy of variables that were considered present on the basis of documentation (use of controller medications and environmental exposures), reviewers regularly reviewed data from both clinic notes and hospital discharge summaries. These variables, however, may be more likely to be documented in children who have more prehospitalization visits. Because analyses were limited to information that is available within our hospital system and patients may seek asthma treatment at outside institutions, variables including history of asthma hospitalization and ED visits as well as presence of postdischarge readmissions may be underreported. However, we believe this is minimal because we only included patients who were established in our system, and 97% of them had an ambulatory follow-up visit in our system. Finally, many psychosocial factors impact appointment attendance, including caregiver education and employment status, proximity to the office, and medical home outreach to confirm appointment status or assess postdischarge needs. These factors were not accounted for in our study and remain important considerations when designing future interventions aimed at ambulatory asthma follow-up.

We found that attending a postdischarge visit within 14 days of hospitalization is associated with a lower likelihood of long-term readmission. Additionally, those with a more severe exacerbation or previous asthma sick visits are more likely to attend ambulatory visits after discharge. Fewer children with higher disease burden attended the routine visit. Furthermore, documenting the appointment at hospital discharge improved attendance rates, highlighting the need for hospital resource allocation for this task. Children with more severe asthma may require extra encouragement to continually seek ambulatory care because caregivers may become accustomed to managing symptoms at home. Regular assessment of asthma control and medication adherence is critical to improve long-term outcomes. The next steps for this research include facilitating postdischarge follow-up among children hospitalized with asthma, evaluating the quality of these ambulatory asthma visits, developing alternative interventions to address key aspects of asthma management both during and after inpatient hospitalization, and assessing the long-term impact of these interventions on asthma outcomes.

Dr Philips conceptualized and designed the study, designed the data collection instrument, collected data, conducted analyses, drafted the initial manuscript, and reviewed and revised the manuscript; Mr Reiss designed the data collection instrument, collected data, and reviewed and revised the manuscript; Drs Silver and Rastogi conceptualized and designed the study, supervised data collection and analyses, and critically reviewed and revised the manuscript; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: Supported by the National Institutes of Health National Center for Advancing Translational Science Einstein-Montefiore Clinical and Translational Science Awards (grants TL1TR001072 and UL1TR001073; K.S.P.) and the National Heart, Lung, and Blood Institute (grant K23HL118733; D.R.). The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health. Funded by the National Institutes of Health (NIH).

1
Akinbami
LJ
,
Moorman
JE
,
Garbe
PL
,
Sondik
EJ
.
Status of childhood asthma in the United States, 1980-2007
.
Pediatrics
.
2009
;
123
(
suppl 3
):
S131
S145
2
Kenyon
CC
,
Melvin
PR
,
Chiang
VW
,
Elliott
MN
,
Schuster
MA
,
Berry
JG
.
Rehospitalization for childhood asthma: timing, variation, and opportunities for intervention
.
J Pediatr
.
2014
;
164
(
2
):
300
305
3
Bloomberg
GR
,
Trinkaus
KM
,
Fisher
EB
 Jr
,
Musick
JR
,
Strunk
RC
.
Hospital readmissions for childhood asthma: a 10-year metropolitan study
.
Am J Respir Crit Care Med
.
2003
;
167
(
8
):
1068
1076
4
Reznik
M
,
Hailpern
SM
,
Ozuah
PO
.
Predictors of early hospital readmission for asthma among inner-city children
.
J Asthma
.
2006
;
43
(
1
):
37
40
5
Auger
KA
,
Kahn
RS
,
Davis
MM
,
Beck
AF
,
Simmons
JM
.
Medical home quality and readmission risk for children hospitalized with asthma exacerbations
.
Pediatrics
.
2013
;
131
(
1
):
64
70
6
Auger
KA
,
Kahn
RS
,
Davis
MM
,
Simmons
JM
.
Pediatric asthma readmission: asthma knowledge is not enough?
J Pediatr
.
2015
;
166
(
1
):
101
108
7
National Asthma Education and Prevention Program
.
Expert Panel Report 3 (EPR-3): guidelines for the diagnosis and management of asthma-summary report 2007 [published correction appears in J Allergy Clin Immunol. 2008;121(6):1330]
.
J Allergy Clin Immunol
.
2007
;
120
(
5 suppl
):
S94
S138
8
Andrews
AL
,
Bundy
DG
,
Simpson
KN
,
Teufel
RJ
 II
,
Harvey
J
,
Simpson
AN
.
Inhaled corticosteroid claims and outpatient visits after hospitalization for asthma among commercially insured children
.
Acad Pediatr
.
2017
;
17
(
2
):
212
217
9
Glick
AF
,
Farkas
JS
,
Nicholson
J
, et al
.
Parental management of discharge instructions: a systematic review
.
Pediatrics
.
2017
;
140
(
2
):
e20164165
10
Morton
RW
,
Elphick
HE
.
Rehospitalization for childhood asthma: is adherence the key?
J Pediatr
.
2014
;
165
(
1
):
211
11
Nikander
K
,
Turpeinen
M
,
Pelkonen
AS
,
Bengtsson
T
,
Selroos
O
,
Haahtela
T
.
True adherence with the turbuhaler in young children with asthma
.
Arch Dis Child
.
2011
;
96
(
2
):
168
173
12
Auger
KA
,
Kenyon
CC
,
Feudtner
C
,
Davis
MM
.
Pediatric hospital discharge interventions to reduce subsequent utilization: a systematic review
.
J Hosp Med
.
2014
;
9
(
4
):
251
260
13
Misky
GJ
,
Wald
HL
,
Coleman
EA
.
Post-hospitalization transitions: examining the effects of timing of primary care provider follow-up
.
J Hosp Med
.
2010
;
5
(
7
):
392
397
14
Lintzenich
A
,
Teufel
RJ
 II
,
Basco
WT
 Jr
.
Under-utilization of controller medications and poor follow-up rates among hospitalized asthma patients
.
Hosp Pediatr
.
2011
;
1
(
1
):
8
14
15
Zorc
JJ
,
Scarfone
RJ
,
Li
Y
.
Predictors of primary care follow-up after a pediatric emergency visit for asthma
.
J Asthma
.
2005
;
42
(
7
):
571
576
16
Bellin
E
,
Fletcher
DD
,
Geberer
N
,
Islam
S
,
Srivastava
N
.
Democratizing information creation from health care data for quality improvement, research, and education-the Montefiore Medical Center Experience
.
Acad Med
.
2010
;
85
(
8
):
1362
1368
17
Diez Roux
AV
,
Merkin
SS
,
Arnett
D
, et al
.
Neighborhood of residence and incidence of coronary heart disease
.
N Engl J Med
.
2001
;
345
(
2
):
99
106
18
Mirabelli
MC
,
Hsu
J
,
Gower
WA
.
Comorbidities of asthma in U.S. children
.
Respir Med
.
2016
;
116
:
34
40
19
Bergert
L
,
Patel
SJ
,
Kimata
C
,
Zhang
G
,
Matthews
WJ
 Jr
.
Linking patient-centered medical home and asthma measures reduces hospital readmission rates
.
Pediatrics
.
2014
;
134
(
1
).
20
Kercsmar
CM
,
Dearborn
DG
,
Schluchter
M
, et al
.
Reduction in asthma morbidity in children as a result of home remediation aimed at moisture sources
.
Environ Health Perspect
.
2006
;
114
(
10
):
1574
1580
21
Zorc
JJ
,
Scarfone
RJ
,
Li
Y
, et al
;
Randomized trial
.
Scheduled follow-up after a pediatric emergency department visit for asthma: a randomized trial
.
Pediatrics
.
2003
;
111
(
3
):
495
502
22
Schatz
M
,
Rachelefsky
G
,
Krishnan
JA
.
Follow-up after acute asthma episodes: what improves future outcomes?
Proc Am Thorac Soc
.
2009
;
6
(
4
):
386
393
23
Jung-Wu
S
.
Follow-up care after an emergency department visit for asthma and subsequent healthcare utilization in a universal-access healthcare system
.
Pediatrics
.
2013
;
132
(
suppl 1
):
S43
24
McGovern
CM
,
Redmond
M
,
Arcoleo
K
,
Stukus
DR
.
A missed primary care appointment correlates with a subsequent emergency department visit among children with asthma
.
J Asthma
.
2017
;
54
(
9
):
977
982

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.

Supplementary data