Evidence map›Paper›PMID 25140296›Full record

ArticleFrontiers in public health2014

Use of an interactive, faith-based kiosk by congregants of four predominantly, african-american churches in a metropolitan area.

Scott A Dulchavsky, Wilma J Ruffin, Dayna A Johnson, Chad Cogan, Christine L M Joseph

Abstract read
In one paragraph

Article in Frontiers in public health, 2014. 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. The Role of Health Kiosks: Scoping Review.JMIR medical informatics · 2022
    Article
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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

5 authors.

Scott A DulchavskyDepartment of Surgery, Henry Ford Hospital , Detroit, MI , USA.
Wilma J RuffinDepartment of Surgery, Henry Ford Hospital , Detroit, MI , USA.
Dayna A JohnsonDepartment of Public Health Sciences, Henry Ford Hospital , Detroit, MI , USA.
Chad CoganDepartment of Public Health Sciences, Henry Ford Hospital , Detroit, MI , USA.
Christine L M JosephDepartment of Public Health Sciences, Henry Ford Hospital , Detroit, MI , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic diseases are prevalent in ethnic communities. Churches represent a potent resource for targeted health promotion. A faith-based kiosk was developed as an informational tool and placed in four predominantly (>80%) African-American churches. Congregants were surveyed to describe kiosk-use, kiosk-user characteristics, health status, and self-reported behavior changes attributed to the kiosk. We analyzed 1,573 questionnaires. Mean age of respondents was 46.4 years and >70% were women. "Older" congregations (mean age ≥46.1 years) had more reports of diabetes (p = 0.002) and heart diseases (p = 0.01) than younger churches (mean age ≤44.1), whereas asthma was more prevalent in the latter (p < 0.001). Prevalence of obesity (40%) was similar across churches (p = 0.570). Kiosk-use was reported by 420 (26.7%) respondents. Compared to non-users, kiosk-users were >40 years (p < 0.001), and reported >two health conditions, adjusted Odds Ratio (95% Confidence Interval) = 1.43 (1.0-2.0), p = 0.05. Male kiosk-users preferred to select disease-specific content, aOR = 1.87 (1.10-3.17), p = 0.02, while females tended to select information about supportive community resources, aOR = 0.49 (0.23-1.04), p = 0.062. Knowledge of kiosk-user characteristics and the "health status" of a congregation, provide an opportunity for targeted, church-based health promotion.

Indexed as

chronic diseasefaith-based interventionshealth disparitieshealth informationhealth ministrykioskminority health

Identifiers

PMID25140296
PMCPMC4122176

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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.