Pediatric Readmissions Within 3 Days of Discharge: Preventability, Contributing Factors, and Necessity

The Child Opportunity Index and Children's Health: A Meta-Analysis

CONTEXT

Quantifying the impact of place on pediatric health is difficult given the diverse methodologies used to measure place-based social determinants. However, the Child Opportunity Index (COI) is increasingly used to study these relationships.

OBJECTIVE

To synthesize associations between the COI and pediatric health.

DATA SOURCES

Fifteen databases, 4 gray literature sources, and diversitydatakids.org searched from 2014 to 2024.

STUDY SELECTION

US-based observational studies that evaluated children, the COI, and at least 1 pediatric health outcome.

DATA EXTRACTION

Protocol registered with PROSPERO (CRD42023418407). Random-effects models created pooled odds ratios (ORs) comparing very low/low COI to high/very high COI for mortality, emergency department (ED) use, and hospital use. Clinically relevant subgroups were explored.

RESULTS

Most studies (n = 61 of 85; 72%) reported inverse associations between the COI and an adverse outcome. Lower COI was associated with higher odds of mortality (OR, 1.50; 95% CI, 1.31-1.94; tau squared [τ2] = 0.045; 15 associations from 13 studies). Overall, ED visits were similar (OR, 1.38; 95% CI, 0.97-1.95; τ2 = 0.312; 10 associations from 6 studies), but the subgroup of all-cause ED visits were significantly higher among children with lower COI (OR, 1.66; 95% CI, 1.19-2.31; τ2 = 0.198; 7 associations from 5 studies). Select hospitalization subgroups (medical, surgical/trauma, and >30-day rehospitalizations) were significantly associated with COI, but not overall hospitalizations (OR, 1.15; 95% CI, 0.96-1.36; τ2 = 0.090; 12 studies).

LIMITATIONS

Meta-analyses were unadjusted.

CONCLUSIONS

Place is a risk factor for children's mortality and select measures of health care use. Shifting the focus from identifying place-based disparities to cocreating community-engaged strategies that mitigate disparities may effectively advance children's health equity.

Why do we evaluate 30-day readmissions in general medicine? A historical perspective and contemporary data

Reducing preventable readmissions is important to help manage current strains on healthcare systems. The metric of 30-day readmissions is commonly cited in discussions regarding this topic. While such thresholds have contemporary funding implications, the rationale for individual cut-off points is partially historical in nature. Through the examination of the basis for the analysis of 30-day readmissions, greater insight into the possible benefits and limitations of such a metric may be obtained.

Effect of a Pharmacist-Led Discharge Counseling Service at a Children's Hospital

OBJECTIVE

To evaluate the effect of a pharmacist-led discharge counseling service at a pediatric hospital.

METHODS

This was a prospective observational cohort study. Patients in the pre-implementation phase were identified by the pharmacist at the time of admission medication reconciliation, whereas patients in the pos-timplementation phase were identified at the time of pharmacist discharge medication counselling. Caregivers were contacted within 2 weeks of the patients' discharge date to complete a 7-question telephone survey. The primary objective was to measure the effect of the pharmacist-led service on caregiver satisfaction, using a pre- and post- implementation telephone survey. The secondary objectives were to evaluate the effect of the service on 90-day medication-related readmissions and determine the change in the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey response (Question 25) regarding discharge medications following implementation of the new service.

RESULTS

A total of 32 caregivers were included in both the pre- and post-implementation groups. The most common reason for inclusion was high-risk medications (84%) in the pre-implementation group and device teaching (62.5%) in the post-implementation group. The primary outcome, the average composite score on the telephone survey, was 30.94 ± 3.50 (average ± SD) in the pre-implementation group and 32.5 ± 2.26 in the post-implementation group (p = 0.038). There were no medication-related readmissions within 90 days in either group. The score on HCAHPS Question 25 was not different between groups (p = 0.761).

CONCLUSIONS

Implementation of a pharmacist-led discharge counseling service in pediatric patients improved caregiver satisfaction and understanding as shown by a postdischarge telephone survey.

Hospital Discharge Instructions: Characteristics, Accessibility, and National Guideline Adherence

OBJECTIVES

The content of pediatric hospital discharge instructions is highly variable. This study aimed to describe the characteristics, accessibility per patient literacy level and language, and national guideline adherence of pediatric hospital discharge instructions.

METHODS

This retrospective study assessed discharge instructions at a tertiary children's hospital. Patient and instruction characteristics, including patient health literacy level, grade level of instructions, patient language preference, and language of instructions were collected via chart review and electronic medical record query. Standard admission processes assessed health literacy via Brief Health Literacy Screening. The association between demographic and clinical characteristics and adherence to Solutions for Patient Safety guidelines was analyzed by using unadjusted and adjusted analysis methods.

RESULTS

Of 240 discharge instructions, 25% were missing at least 1 recommended content area: signs of worsening, where to seek help, or medication reconciliation. A patient health literacy deficit was identified in 15%; the mean grade level of instructions was 10.1. Limited English proficiency was reported among 17% one quarter of whom received language concordant instructions. Use of discharge instruction templates and discharge services were associated with improved guideline adherence (P <.001). Almost one-half of the study population had a complex medical history, which was associated with decreased guideline adherence (P = .04).

CONCLUSIONS

One-quarter of discharge instructions for this predominantly medically complex population failed to meet national standards. Accessibility was often limited by the reading grade level or discordant language of instructions. Templates may be a valuable tool for improving discharge instruction content, accessibility, and adherence to national guidelines.

Performance Characteristics of a Machine-Learning Tool to Predict 7-Day Hospital Readmissions

OBJECTIVES

To develop an institutional machine-learning (ML) tool that utilizes demographic, socioeconomic, and medical information to stratify risk for 7-day readmission after hospital discharge; assess the validity and reliability of the tool; and demonstrate its discriminatory capacity to predict readmissions.

PATIENTS AND METHODS

We performed a combined single-center, cross-sectional, and prospective study of pediatric hospitalists assessing the face and content validity of the developed readmission ML tool. The cross-sectional analyses used data from questionnaire Likert scale responses regarding face and content validity. Prospectively, we compared the discriminatory capacity of provider readmission risk versus the ML tool to predict 7-day readmissions assessed via area under the receiver operating characteristic curve analyses.

RESULTS

Overall, 80% (15 of 20) of hospitalists reported being somewhat to very confident with their ability to accurately predict readmission risk; 53% reported that an ML tool would influence clinical decision-making (face validity). The ML tool variable exhibiting the highest content validity was history of previous 7-day readmission. Prospective provider assessment of risk of 413 discharges showed minimal agreement with the ML tool (κ = 0.104 [95% confidence interval 0.028-0.179]). Both provider gestalt and ML calculations poorly predicted 7-day readmissions (area under the receiver operating characteristic curve: 0.67 vs 0.52; P = .11).

CONCLUSIONS

An ML tool for predicting 7-day hospital readmissions after discharge from the general pediatric ward had limited face and content validity among pediatric hospitalists. Both provider and ML-based determinations of readmission risk were of limited discriminatory value. Before incorporating similar tools into real-time discharge planning, model calibration efforts are needed.

Decreased ER visits and readmissions after implementation of a standardized perioperative toolkit for children with IBD

BACKGROUND

Pediatric inflammatory bowel disease (IBD) carries significant morbidity and requires extensive medical and often surgical intervention. The aim of this study was to evaluate the impact of a dedicated Multidisciplinary clinic on the outcomes of children with IBD.

METHODS

A retrospective review of a prospective database, established to track quality and outcomes of children undergoing an abdominal operation for IBD, was performed. Children who were managed before (09/2017-03/2019) and after (04/2019-06/2020) establishment of the multidisciplinary clinic were examined. The clinic instituted several care process protocols including early recovery (ERAS) and garnered additional resources for patients (wound ostomy, nutrition, social work, etc.) Primary outcomes were unanticipated return to the operating room, length of stay, ER visits within 30 days of surgery and hospital readmissions within 30 days of surgery.

RESULTS

We identified 41 children who underwent a total of 80 major abdominal operations; 46.3% of procedures occurred before and 53.7% occurred after instituting our clinic. There were no notable changes in disease distribution (e.g., ulcerative colitis vs. Crohn's), disease severity, medication exposure, or case urgency (elective vs. emergent). ER visits within 30 days of surgery decreased (4 (9.3%) vs. 10 (27%), p = 0.04) as did readmissions within 30 days of surgery (1 (2.3%) vs. 9 (24.3%), p = 0.005).

CONCLUSIONS

Implementation of a dedicated multidisciplinary clinic for IBD and its attendant focus on protocols and appropriate use of adjunctive resources was associated with decreased emergency department visits and hospital readmissions in the post-operative setting.

LEVEL OF EVIDENCE

III.

The Association of the Childhood Opportunity Index on Pediatric Readmissions and Emergency Department Revisits

OBJECTIVE

Reutilization following discharge is costly to families and the health care system. Singular measures of the social determinants of health (SDOH) have been shown to impact utilization; however, the SDOH are multifactorial. The Childhood Opportunity Index (COI) is a validated approach for comprehensive estimation of the SDOH. Using the COI, we aimed to describe the association between SDOH and 30-day revisit rates.

METHODS

This retrospective study included children 0 to 17 years within 48 children's hospitals using the Pediatric Health Information System from 1/1/2019 to 12/31/2019. The main exposure was a child's ZIP code level COI. The primary outcome was unplanned readmissions and emergency department (ED) revisits within 30 days of discharge. Primary outcomes were summarized by COI category and compared using chi-square or Kruskal-Wallis tests. Adjusted analysis used generalized linear mixed effects models with adjustments for demographics, clinical characteristics, and hospital clustering.

RESULTS

Of 728,997 hospitalizations meeting inclusion criteria, 30-day unplanned returns occurred for 96,007 children (13.2%). After adjustment, the patterns of returns were significantly associated with COI. For example, 30-day returns occurred for 19.1% (95% confidence interval [CI]: 18.2, 20.0) of children living within very low opportunity areas, with a gradient-like decrease as opportunity increased (15.5%, 95% CI: 14.5, 16.5 for very high). The relative decrease in utilization as COI increased was more pronounced for ED revisits.

CONCLUSIONS

Children living in low opportunity areas had greater 30-day readmissions and ED revisits. Our results suggest that a broader approach, including policy and system-level change, is needed to effectively reduce readmissions and ED revisits.

Parent and Physician Qualitative Perspectives on Reasons for Pediatric Hospital Readmissions

OBJECTIVES

One in 5 parents report a problem in their child's hospital-to-home transition, leading to adverse events, dissatisfaction, and readmissions. Although researchers in several studies have explored parent insights into discharge needs, few have explored perceptions of causes for pediatric readmissions. We sought to investigate factors contributing to pediatric readmissions, from both parent and physician perspectives.

METHODS

We conducted a qualitative study using semistructured interviews with parents, discharging and readmitting physicians, and subspecialist consultants of children readmitted within 30 days of initial discharge from the pediatric ward at an urban nonfreestanding children's hospital. Participants were interviewed during the readmission and asked about care transition experiences during the initial admission and potential causes and preventability of readmission. Data were analyzed iteratively by using a constant-comparative approach. We identified major themes, solicited feedback, and inferred relationships between themes to develop a conceptual model for preventing readmissions.

RESULTS

We conducted 53 interviews from 20 patient readmissions, including 20 parents, 20 readmitting physicians, 11 discharging physicians, and 3 consulting subspecialists. Major themes included the following: (1) unclear roles cause lack of ownership in patient care tasks, (2) lack of collaborative communication leads to discordant understanding of care plans, and (3) incomplete hospital-to-home transitions result in ongoing reliance on the hospital.

CONCLUSIONS

Clear definition of team member roles, improved communication among care team members and between care teams and families, and enhanced care coordination to facilitate the hospital-to-home transition were perceived as potential interventions that may help prevent readmissions.

Preventability of 7-Day Versus 30-Day Readmissions at an Academic Children's Hospital

BACKGROUND AND OBJECTIVES

The 30-day readmission rate is a common quality metric used by Medicare for adult patients. However, studies in pediatrics have shown lower readmission rates and potentially less preventability. Therefore, some question the utility of the 30-day readmission time frame in pediatrics. Our objective was to describe the characteristics of patients readmitted within 30 days of discharge over a 1-year period and determine the preventability of readmissions occurring 0 to 7 vs 8 to 30 days after discharge from a pediatric hospitalist service at an academic children's hospital.

METHODS

Retrospective chart review and hospital administrative data were used to gather medical characteristics, demographics, and process-level metrics for readmitted patients between July 1, 2015, and June 30, 2016. All readmissions were reviewed by 2 senior authors and assigned a preventability category. Subgroup analysis comparing preventability in 0-to-7- and 8-to-30-day readmissions groups was performed. Qualitative thematic analysis was performed on readmissions deemed preventable.

RESULTS

Of 1523 discharges that occurred during the study period, 49 patients, with 65 distinct readmission encounters, were readmitted for an overall 30-day readmission rate of 4.3% (65 of 1523). Twenty-eight percent (9 of 32) of readmissions within 7 days of discharge and 12.1% (4 of 33) occurring 8 to 30 days after discharge were deemed potentially preventable (P = .13). Combined, the 30-day preventable readmission rate was 20% (13 of 65).

CONCLUSIONS

We identified a possible association between preventability and time to readmission. If confirmed by larger studies, the 7-day, rather than 30-day, time frame may represent a better quality metric for readmitted pediatric patients.

Epidemiology of readmissions in early infancy following nonelective cesarean delivery

OBJECTIVE

Determine incidence and risk factors for readmissions in early infancy.

STUDY DESIGN

Secondary analysis of data from the Cesarean Section Optimal Antibiotic Prophylaxis trial. All unplanned revisits (unplanned clinic, ER visits, and hospital readmissions) and hospital readmissions (initial discharge to 3-month follow-up) were analyzed.

RESULTS

295 (15.9%) of 1850 infants had revisits with risk factors being ethnicity (adjusted odds ratio (aOR): 0.6 for Hispanic), maternal postpartum antibiotics (1.89), azithromycin treatment (1.22), small for gestational age (1.68), apnea (3.82), and hospital stay after birth >90th percentile (0.49). 71 (3.8%) of 1850 infants were readmitted with risk factors being antenatal steroids (aOR 2.49), elective repeat C/section (0.72), postpartum maternal antibiotics (2.22), O₂ requirement after delivery room (2.82), and suspected/proven neonatal sepsis (0.55).

CONCLUSION(S)

Multiple risk factors were identified, suggesting potential impact on the neonatal microbiome (maternal postpartum antibiotics) or issues related to access/cost of care (Hispanic ethnicity associated with fewer revisits).

Better Outcomes for Hospitalized Children through Safe Transitions: A Quality Improvement Project

This project’s goal was to implement an already validated pediatric discharge toolkit to enhance the effectiveness of transition from hospital to home, thus reducing 30-day readmission rates.

Comparing Software Determination of Readmission Preventability With Chart Review, Provider, and Family Assessments

OBJECTIVES

To explore the concordance between software, chart reviewer, provider, and parent perspectives when assessing whether readmissions are preventable or clinically related to the initial admission.

METHODS

Providers and parents of patients readmitted within 3 days to a tertiary children's hospital were enrolled in this single-site observational study. 3M Potentially Preventable Readmissions Grouping Software, chart reviewers, discharge and readmission providers, and parents assessed if readmissions were clinically related to the index admission or potentially preventable. Agreement between perspectives was measured by using Cohen's κ values.

RESULTS

The software found 67 of 118 (57%) clinically related readmissions; the identical 67 of 118 cases (57%) were found to be potentially preventable. Chart reviewers found 107 of 125 (86%) clinically related and 60 of 125 (47%) preventable readmissions compared to 68 of 92 (74%) and 27 of 92 (28%) for discharge physicians and 69 of 93 (74%) and 33 of 93 (34%) for readmitting physicians. Parents reported 9 of 36 (25%) preventable readmissions. Cohen κ values revealed no to minimal agreement on clinical relatedness of readmissions between software and chart reviewer, discharge provider, and readmission provider (0.12-0.20), whereas chart reviewers and providers had weak to moderate agreement with each other (0.43-0.75). There was no to minimal agreement on preventability between software and the other perspectives (-0.04 to 0.21), whereas chart reviewers and providers had minimal to weak agreement (0.27-0.56).

CONCLUSIONS

Measurement of preventable readmissions remains problematic, and using financial penalties for readmissions on the basis of software determinations may be unwise given low levels of agreement. Chart review supplemented by information from providers and families offers a more inclusive way to identify potentially preventable readmissions.