Socioeconomic Distress as a Predictor of Missed First Outpatient Newborn Visits.

area deprivation index (adi) first year visits health care disparities newborn and child health no-shows socio-economic factors well child visits

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
26 Mar 2021
Historique:
entrez: 29 4 2021
pubmed: 30 4 2021
medline: 30 4 2021
Statut: epublish

Résumé

Objective To determine if the Area Deprivation Index (ADI) can serve as a predictor for patients from geographic regions of high socioeconomic distress as high risk for having no-shows to first-year newborn visits. Methods We assessed the no-show rate per patient from a large public safety-net hospital in Cleveland, Ohio, and the ADI of the census-designated tract for each patient's home geographic identifier (GEOID), aggregated into quintiles, and calculated differences in no-show-rates across census-designated tracts of different ADIs. Results A total of 2944 newborns from an approximate 18-month follow-up period between 2015-2017 were included. Large differences in no-shows per individual patient record (chi-square = 225, p = <0.001, df = 4) were found across quintiles of ADI. Heat-mapping indicated that census tracts with the highest ADIs and highest rates of no-show appointments encompass Cleveland's inner-city region. Conclusion The ADI is demonstrated to identify communities at high risk of no-show newborn appointments. Mapping these communities and their socioeconomic distress levels represented by ADI and missed appointment rate for each community can provide future direction for interventions targeted towards these communities to reduce no-show rates and improve overall community infant health.

Identifiants

pubmed: 33912364
doi: 10.7759/cureus.14132
pmc: PMC8071602
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e14132

Informations de copyright

Copyright © 2021, Yao et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Jimmy Yao (J)

Pediatrics, Case Western Reserve University School of Medicine, Cleveland, USA.

Adam T Perzynski (AT)

Epidemiology and Public Health, MetroHealth System, Case Western Reserve University School of Medicine, Cleveland, USA.

Yasir Tarabichi (Y)

Internal Medicine and Research Informatics, MetroHealth Medical Center, Cleveland, USA.

Namita Swarup (N)

Pediatrics, MetroHealth Medical Center, Cleveland, USA.

Aparna Roy (A)

Pediatrics, MetroHealth Medical Center, Cleveland, USA.

Classifications MeSH