Evidence map›Paper›PMID 26469657›Full record

ArticleAmerican journal of public health2015

Community Health Assessment and Improved Public Health Decision-Making: A Propensity Score Matching Approach.

Kristina M Rabarison, Lava Timsina, Glen P Mays

Abstract read
In one paragraph

Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Kristina M RabarisonKristina M. Rabarison, Lava Timsina, and Glen P. Mays are with the College of Public Health, University of Kentucky, Lexington.
Lava TimsinaKristina M. Rabarison, Lava Timsina, and Glen P. Mays are with the College of Public Health, University of Kentucky, Lexington.
Glen P MaysKristina M. Rabarison, Lava Timsina, and Glen P. Mays are with the College of Public Health, University of Kentucky, Lexington.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe analyzed the likelihood of chronic disease prevention activities delivery, as a proxy measure of public health decision-making and actions, given that local health agencies (LHAs) implemented a community health assessment and improvement plan in their communities.

methodsUsing a propensity score matching approach, we linked data from the 2010 National Association of County and City Health Officials profile of LHAs and the 2010 County Health Rankings to create a statistically matched sample of implementation and comparison LHAs. Implementation LHAs were those that implemented a community health assessment and improvement plan. We estimated the odds of chronic disease prevention activities delivery and the average treatment effect on the treated.

resultsImplementation group LHAs were 2 times as likely (95% confidence interval = 1.60, 2.64) to deliver population-based chronic disease prevention programs than comparison group LHAs. Furthermore, chronic disease prevention activities were more likely to be delivered among implementation group LHAs (6.50-19.02 percentage points higher) than in comparison group LHAs.

conclusionsOur results signal that routine implementation of a community health assessment and improvement plan in LHAs leads to improved public health decision-making and actions.

Indexed as

Decision Making, OrganizationalChronic DiseaseCommunity Health ServicesHealth StatusHealth SurveysHumansPropensity ScorePublic Health AdministrationSurveys and QuestionnairesUnited States

Identifiers

PMID26469657
PMCPMC4638244

What OpenQuestion holds

Textmetadata
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Registered trials

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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.