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      Effectiveness of community-based diabetes and hypertension prevention and management programmes in Indonesia and Viet Nam: a quasi-experimental study

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          Abstract

          Introduction

          Non-communicable diseases (NCDs) have surpassed infectious diseases as the leading global cause of death, with the Southeast Asian region experiencing a significant rise in NCD prevalence over the past decades. Despite the escalating burden, screening for NCDs remains at very low levels, resulting in undetected cases, premature mortality and high public healthcare costs. We investigate whether community-based NCD prevention and management programmes are an effective solution.

          Methods

          In Indonesia, we compare participants in the community-based NCD screening and management programme Pos Pembinaan Terpadu-Penyakit Tidak Menular with matched non-participants with respect to their uptake of screening activities, health-related behaviour and knowledge and metabolic risk factors. We use statistical matching to redress a possible selection bias (n=1669). In Viet Nam, we compare members of Intergenerational Self-Help Clubs, which were offered similar NCD health services, with members of other community groups, where such services were not offered. We can rely on two waves of data and use a double-difference approach to redress a possible selection bias and to measure the impacts of participation (n=1710). We discuss strengths and weaknesses of the two approaches in Indonesia and Viet Nam.

          Results

          In Indonesia, participants have significantly higher uptake of screening for hypertension and diabetes (+13% from a control mean of 88% (95% CI 9% to 17%); +93% from a control mean of 48% (95% CI 79% to 108%)). In both countries, participants show a higher knowledge about risk factors, symptoms and complications of NCDs (Indonesia: +0.29 SD (0.13–0.45), Viet Nam: +0.17 SD (0.03–0.30)). Yet, the improved knowledge is only partly reflected in improved health behaviour (Viet Nam: fruit consumption +0.33 SD (0.15–0.51), vegetable consumption +0.27 SD (0.04–0.50)), body mass index (BMI) (Viet Nam: BMI −0.07 SD (−0.13 to −0.00)) or metabolic risk factors (Indonesia: systolic blood pressure: −0.13 SD (−0.26 to −0.00)).

          Conclusion

          Community-based NCD programmes are well suited to increase screening and to transmit health knowledge. Due to their extensive outreach within the community, they can serve as a valuable complement to the screening services provided at the primary healthcare level. Yet, limited coverage, insufficient resources and a high staff turnover remain a problem.

          Trial registration number

          NCT05239572.

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          Most cited references37

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          The central role of the propensity score in observational studies for causal effects

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            The Health Belief Model: a decade later.

            Since the last comprehensive review in 1974, the Health Belief Model (HBM) has continued to be the focus of considerable theoretical and research attention. This article presents a critical review of 29 HBM-related investigations published during the period of 1974-1984, tabulates the findings from 17 studies conducted prior to 1974, and provides a summary of the total 46 HBM studies (18 prospective, 28 retrospective). Twenty-four studies examined preventive-health behaviors (PHB), 19 explored sick-role behaviors (SRB), and three addressed clinic utilization. A "significance ratio" was constructed which divides the number of positive, statistically-significant findings for an HBM dimension by the total number of studies reporting significance levels for that dimension. Summary results provide substantial empirical support for the HBM, with findings from prospective studies at least as favorable as those obtained from retrospective research. "Perceived barriers" proved to be the most powerful of the HBM dimensions across the various study designs and behaviors. While both were important overall, "perceived susceptibility" was a stronger contributor to understanding PHB than SRB, while the reverse was true for "perceived benefits." "Perceived severity" produced the lowest overall significance ratios; however, while only weakly associated with PHB, this dimension was strongly related to SRB. On the basis of the evidence compiled, it is recommended that consideration of HBM dimensions be a part of health education programming. Suggestions are offered for further research.
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              The Transtheoretical Model of Health Behavior Change

              The transtheoretical model posits that health behavior change involves progress through six stages of change: precontemplation, contemplation, preparation, action, maintenance, and termination. Ten processes of change have been identified for producing progress along with decisional balance, self-efficacy, and temptations. Basic research has generated a rule of thumb for at-risk populations: 40% in precontemplation, 40% in contemplation, and 20% in preparation. Across 12 health behaviors, consistent patterns have been found between the pros and cons of changing and the stages of change. Applied research has demonstrated dramatic improvements in recruitment, retention, and progress using stage-matched interventions and proactive recruitment procedures. The most promising outcomes to data have been found with computer-based individualized and interactive interventions. The most promising enhancement to the computer-based programs are personalized counselors. One of the most striking results to date for stage-matched programs is the similarity between participants reactively recruited who reached us for help and those proactively recruited who we reached out to help. If results with stage-matched interventions continue to be replicated, health promotion programs will be able to produce unprecedented impacts on entire at-risk populations.
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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2024
                22 May 2024
                : 9
                : 5
                : e015053
                Affiliations
                [1 ] departmentDepartment of Economics, Econometrics and Finance , Ringgold_3647University of Groningen , Groningen, The Netherlands
                [2 ] departmentSchool of Business, Economics and Information Systems , Ringgold_26580University of Passau , Passau, Germany
                [3 ] Ringgold_40046IZA Institute of Labor Economics , Bonn, Germany
                [4 ] Ringgold_106143Health Strategy and Policy Institute , Hanoi, Viet Nam
                [5 ] departmentDepartment of Health Sciences , Ringgold_10173University Medical Center Groningen , Groningen, The Netherlands
                [6 ] departmentFaculty of Public Health , Ringgold_472518Thai Nguyen University of Medicine and Pharmacy , Thai Nguyen City, Viet Nam
                [7 ] departmentFaculty of Medicine , Ringgold_148007Universitas Sebelas Maret , Surakarta, Central Java, Indonesia
                Author notes
                [Correspondence to ] Dr Manuela Fritz; m.k.fritz@ 123456rug.nl
                Author information
                http://orcid.org/0000-0002-6507-644X
                http://orcid.org/0000-0002-7897-4214
                http://orcid.org/0000-0002-6933-0302
                http://orcid.org/0000-0003-3171-5271
                http://orcid.org/0000-0003-0116-7120
                http://orcid.org/0000-0001-6448-5164
                Article
                bmjgh-2024-015053
                10.1136/bmjgh-2024-015053
                11116884
                38777393
                2d6ee653-d1a2-45c7-8dc6-71753797a2cf
                © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 11 January 2024
                : 05 May 2024
                Funding
                Funded by: EU Horizon 2020 Research and Innovation Program;
                Award ID: 825026
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                global health,health services research,screening,cardiovascular disease,diabetes

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