Evidence map›Paper›PMID 35236511›Full record

ArticleImplementation science communications2022

Barriers and facilitative factors in the implementation of workplace health promotion activities in small and medium-sized enterprises: a qualitative study.

Junko Saito, Miyuki Odawara, Hirokazu Takahashi, Maiko Fujimori, Akiko Yaguchi-Saito, Manami Inoue, Yosuke Uchitomi, Taichi Shimazu

Abstract read
In one paragraph

Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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.

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Junko SaitoDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Miyuki OdawaraDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Hirokazu TakahashiDivision of Screening Assessment and Management, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Maiko FujimoriDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Akiko Yaguchi-SaitoDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Manami InoueDivision of Prevention, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yosuke UchitomiDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Taichi ShimazuDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. tshimazu@ncc.go.jp.ORCID http://orcid.org/0000-0001-6000-9830

Funding

japan health research promotion bureau (jh) 2019-(1)-4japan society for the promotion of science 21K17319national cancer center research and development fund 2021-A-19national cancer center research and development fund 30-A-18
6 · The paper itself

Abstract

backgroundThere is an immense difference between large companies and small and medium-sized enterprises (SMEs) in implementation of evidence-based interventions (EBIs). Previous literature reveals various barriers that SMEs face during implementation, such as a lack of time, accessibility, and resources. However, few studies have comprehensively examined those influential factors at multi-levels. This study aims to identify the factors influencing the implementation of non-communicable disease prevention activities (tobacco, alcohol, diet, physical activity, and health check-up) in SMEs using Consolidated Framework for Implementation Research (CFIR).

methodsWe conducted 15 semi-structured interviews with health managers and/or employers in 15 enterprises with less than 300 employees, and four focus groups among public health nurses/nutritionists of health insurers who support SMEs in four prefectures across Japan. A qualitative content analysis by a deductive directed approach was performed. After coding the interview transcript text into the CFIR framework constructs by two independent researchers, the coding results were compared and revised in each enterprise until an agreement was reached.

resultsOf the 39 CFIR constructs, 25 were facilitative and 7 were inhibitory for workplace health promotion implementation in SMEs, which were across individual, internal, and external levels. In particular, the leadership engagement of employers in implementing the workplace health promotion activities was identified as a fundamental factor which may influence other facilitators, including "access to knowledge and information," "relative priority," "learning climate," at organizational level, and "self-efficacy" at the health manager level. The main barrier was the beliefs held by the employer/manager that "health management is one's own responsibility."

conclusionsMulti-level factors influencing the implementation of non-communicable diseases prevention activities in SMEs were identified. In resource-poor settings, strong endorsement and support, and positive feedback from employers would be important for health managers and employees to be highly motivated and promote or participate in health promotion. Future studies are needed to develop context-specific strategies based on identified barriers and facilitative factors, and empirically evaluate them, which would contribute to narrowing the differences in worksite health promotion implementation by company size.

Indexed as

BarriersEmployerFacilitative factorsHealth managerImplementationNon-communicable diseasesSmall and medium-sized enterprisesWorkplace health promotion

Identifiers

PMID35236511
PMCPMC8889638

What OpenQuestion holds

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LicenceCC BY
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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.