Literature DB >> 30554297

Are We Serving the Most At-Risk Communities? Examining the Reach of a South Carolina Home Visiting Program.

Elizabeth Radcliff1, Charity B Breneman2, Elizabeth Crouch2, Icelynn Baldwin3.   

Abstract

In addition to individual-level characteristics, characteristics of the social and physical environments in which individuals reside may adversely impact health outcomes. Careful attention to the role of "place" can result in programs that successfully deliver services to those most at risk. This retrospective, cross-sectional study used geocoded residential addresses from 3090 households enrolled in a South Carolina (SC) home visiting program, 2013-2016, and corresponding years of data for maternal and child health outcomes obtained from vital records data. ZIP Code Tabulation Areas (ZCTAs) served as the primary geographic unit of analysis. ZCTAS with high volumes of birth or adverse maternal and child health outcomes for any of 10 indicators were flagged. Distribution of enrolled households across highest-risk ZCTAs was calculated. Of 379 ZCTAS with reported data, 152 had 8 or more risk flags. Of the 152 highest-risk ZCTAs, 33 also had high birth volumes. Fifty-seven of the 152 highest-risk ZCTAs had no enrollees; seven of the 33 highest-risk/highest-volume ZCTAS had no enrollees. Service delivery gaps existed despite a statewide, county-level needs assessment conducted prior to program implementation. This study suggests methods to identify service areas of need, as an ongoing effort toward program improvement.

Entities:  

Keywords:  GIS; Geographic information systems; Home visiting; Program reach

Mesh:

Year:  2019        PMID: 30554297     DOI: 10.1007/s10900-018-00606-5

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  21 in total

Review 1.  Evaluating the public health impact of health promotion interventions: the RE-AIM framework.

Authors:  R E Glasgow; T M Vogt; S M Boles
Journal:  Am J Public Health       Date:  1999-09       Impact factor: 9.308

Review 2.  Investigating neighborhood and area effects on health.

Authors:  A V Diez Roux
Journal:  Am J Public Health       Date:  2001-11       Impact factor: 9.308

Review 3.  Public health, GIS, and spatial analytic tools.

Authors:  Gerard Rushton
Journal:  Annu Rev Public Health       Date:  2002-10-23       Impact factor: 21.981

4.  Social determinants of health inequalities.

Authors:  Michael Marmot
Journal:  Lancet       Date:  2005 Mar 19-25       Impact factor: 79.321

5.  Neighborhood crime, deprivation, and preterm birth.

Authors:  Lynne C Messer; Jay S Kaufman; Nancy Dole; David A Savitz; Barbara A Laraia
Journal:  Ann Epidemiol       Date:  2005-11-14       Impact factor: 3.797

Review 6.  Maternal and child health and neighborhood context: the selection and construction of area-level variables.

Authors:  Julie K Rajaratnam; Jessica G Burke; Patricia O'Campo
Journal:  Health Place       Date:  2005-09-26       Impact factor: 4.078

7.  Effect of neighbourhood income and maternal education on birth outcomes: a population-based study.

Authors:  Zhong-Cheng Luo; Russell Wilkins; Michael S Kramer
Journal:  CMAJ       Date:  2006-05-09       Impact factor: 8.262

8.  Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: The Public Health Disparities Geocoding Project (US).

Authors:  N Krieger; J T Chen; P D Waterman; M-J Soobader; S V Subramanian; R Carson
Journal:  J Epidemiol Community Health       Date:  2003-03       Impact factor: 3.710

9.  Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas--the Public Health Disparities Geocoding Project.

Authors:  Nancy Krieger; Pamela Waterman; Jarvis T Chen; Mah-Jabeen Soobader; S V Subramanian; Rosa Carson
Journal:  Am J Public Health       Date:  2002-07       Impact factor: 9.308

10.  On the use of ZIP codes and ZIP code tabulation areas (ZCTAs) for the spatial analysis of epidemiological data.

Authors:  Tony H Grubesic; Timothy C Matisziw
Journal:  Int J Health Geogr       Date:  2006-12-13       Impact factor: 3.918

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.