Evidence map›Paper›PMID 25879276›Full record

ArticleHealth services research2015

Transformative Use of an Improved All-Payer Hospital Discharge Data Infrastructure for Community-Based Participatory Research: A Sustainability Pathway.

Jason L Salemi, Abraham A Salinas-Miranda, Roneé E Wilson, Hamisu M Salihu

Abstract read
In one paragraph

Article in Health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jason L SalemiDepartment of Family and Community Medicine, Baylor College of Medicine, Houston, TX.
Abraham A Salinas-MirandaThe Maternal and Child Health Comparative Effectiveness Research Group, Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL.
Roneé E WilsonThe Maternal and Child Health Comparative Effectiveness Research Group, Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL.
Hamisu M SalihuDepartment of Family and Community Medicine, Baylor College of Medicine, Houston, TX.

Funding

Clinically enhanced multi-purpose administrative dataset for comparative effectivR01HS019997 · AHRQ · UNIVERSITY OF SOUTH FLORIDA · PI SALIHU, HAMISU · 2010 to 2010
$1.1M
Toward Eliminating Disparities in Meternal and Child Health PopulationsR24MD008056 · NIMHD · UNIVERSITY OF SOUTH FLORIDA · PI SALIHU, HAMISU · 2013 to 2015
$878k
AHRQ HHS R01 HS019997NIMHD NIH HHS R24 MD008056
6 · The paper itself

Abstract

objectiveTo describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives. DATA SOURCES/STUDY

settingPopulation-based, longitudinal database covering over 2.3 million mother-infant dyads during a 12-year period (1998-2009) in Florida.

settingA community-based participatory research (CBPR) project in a socioeconomically disadvantaged community in central Tampa, Florida. STUDY

designCase study of the use of an enhanced state database for supporting CBPR activities. PRINCIPAL

findingsA federal data infrastructure award resulted in the creation of an MCH database in which over 92 percent of all birth certificate records for infants born between 1998 and 2009 were linked to maternal and infant hospital encounter-level data. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community. Data were used to facilitate a community-driven, decision-making process in which the most important priorities for intervention were identified.

conclusionsIntegrating statewide all-payer, hospital-based databases into CBPR can empower underserved communities with a reliable source of health data, and it can promote the sustainability of newly developed data systems.

Indexed as

Community-Based Participatory ResearchDatabases, FactualPatient DischargeQuality ImprovementComparative Effectiveness ResearchData CollectionEthnicityFemaleFloridaHumansLongitudinal StudiesMaternal Health ServicesMedical Record LinkageOrganizational Case StudiesRacial GroupsResearch Support as Topiccommunity-based participatory researchcomparative effectiveness researchdisparitieshospital discharge dataRecord linkage

Identifiers

PMID25879276
PMCPMC4545334

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.