Evidence map›Paper›PMID 27435170›Full record

ArticleBMC public health2016

Using a positive deviance framework to identify Local Health Departments in Communities with exceptional maternal and child health outcomes: a cross sectional study.

Tamar Klaiman, Athena Pantazis, Anjali Chainani, Betty Bekemeier

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  6. Racial Equality in Infant Outcomes: A Call to Action.American journal of public health · 2019
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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.

Tamar KlaimanAccessMatters, 1700 Market St., Suite 15th Fl., Philadelphia, PA, 19103, USA. tamar.klaiman@accessmatters.org.ORCID 0000-0001-8718-5674
Athena PantazisUniversity of Washington School of Nursing, Psychosocial & Community Health, Box 357263, Seattle, WA, USA.
Anjali ChainaniUniversity of the Sciences, 4101 Woodland Ave., Box 22, Philadelphia, PA, 19104, USA.
Betty BekemeierUniversity of Washington School of Nursing, Psychosocial & Community Health, Box 357263, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe United States spends more than most other countries per capita on maternal and child health (MCH), and yet lags behind other countries in MCH outcomes. Local health departments (LHDs) are responsible for administering various maternal and child health programs and interventions, especially to vulnerable populations. The goal of this study was to identify local health department jurisdictions (LHDs) that had exceptional maternal and child health outcomes compared to their in-state peers - positive deviants (PDs) - in Washington, Florida and New York in order to support the identification of strategies that can improve community health outcomes.

methodsWe used MCH expenditure data for all LHDs in FL (n = 67), and WA (n = 35), and most LHDs in NY (n = 48) for 2009-2010 from the Public Health Activities and Services Tracking (PHAST) database. We conducted our analysis in 2014-2015. Data were linked with variables depicting local context and LHD structure. We used a cross-sectional study design to identify communities with better than expected MCH outcomes and multiple regression analysis to control for factors outside of and within LHD control.

resultsWe identified 50 positive deviant LHD jurisdictions across 3 states: WA = 10 (29 %); FL = 24 (36 %); NY = 16 (33 %). Overall, internal factor variables improved model fit for identifying PD LHD jurisdictions, but individual variables were not significant.

conclusionsWe empirically identified LHD jurisdictions with better MCH outcomes compared to their peers. Research is needed to assess what factors contributed to these exceptional MCH outcomes and over which LHDs have control. The positive deviance method we used to identify high performing local health jurisdictions in the area of maternal and child health outcomes can assist in better understanding what practices work to improve health outcomes. We found that funding may not be the only predictor of exceptional outcomes, but rather, there may be activities that positive deviant LHDs are conducting that lead to improved outcomes, even during difficult financial circumstances. This method can be applied to other outcomes, communities, and/or services.

Indexed as

Local GovernmentAdolescentAdultChildChild Health ServicesChild, PreschoolCross-Sectional StudiesDelivery of Health CareFemaleFloridaHealth ExpendituresHumansInfantInfant, NewbornMaleMiddle AgedLocal health departmentsMethodsOutcomesPositive deviance

Identifiers

PMID27435170
PMCPMC4952145

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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.