Evidence map›Paper›PMID 41359934›Full record

ArticleJournal of medical Internet research2025

Impact of Youth Community Health Volunteers on Community Health Screening Program Outcomes for Older Adults: Mixed Methods Evaluation Study.

Ka Shing Yow, Audrey Shu Ting Kwan, Xiaoting Huang, Jie Xin Lim, Meng Han Lim, Lynn Pei Zhen Teo, Juliana Shariq Mujtaba, Muhammad Razzan Razaki, Yihan Khoo, Si Qi Lim and 11 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. 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. 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

21 authors.

Ka Shing Yow *Department of Internal Medicine, National University Health System, Singapore.ORCID http://orcid.org/0000-0002-6168-3752
Audrey Shu Ting Kwan *TriGen, Singapore.ORCID http://orcid.org/0009-0007-2530-7817
Xiaoting HuangTriGen, Singapore.ORCID http://orcid.org/0009-0002-9447-0849
Jie Xin LimTriGen, Singapore.ORCID http://orcid.org/0000-0003-3117-417X
Meng Han LimTriGen, Singapore.ORCID http://orcid.org/0000-0002-8101-8709
Lynn Pei Zhen TeoDivision of Population Health and Integrated Care, Singapore General Hospital, 10 Hospital Blvd, 168582, Singapore, 6562223322.ORCID http://orcid.org/0000-0002-7839-9010
Juliana Shariq MujtabaTriGen, Singapore.ORCID http://orcid.org/0009-0002-1941-8784
Muhammad Razzan RazakiTriGen, Singapore.ORCID http://orcid.org/0009-0002-3671-1392
Yihan KhooTriGen, Singapore.ORCID http://orcid.org/0009-0009-5779-7800
Alicia Shi Yao CheeTriGen, Singapore.ORCID http://orcid.org/0009-0004-7635-6254
Jed JasmanDivision of Population Health and Integrated Care, Singapore General Hospital, 10 Hospital Blvd, 168582, Singapore, 6562223322.ORCID http://orcid.org/0009-0009-5944-8719
Jasmine Yee Ru ChengDivision of Population Health and Integrated Care, Singapore General Hospital, 10 Hospital Blvd, 168582, Singapore, 6562223322.ORCID http://orcid.org/0009-0004-8207-2012
Elliott Weizhi SimTriGen, Singapore.ORCID http://orcid.org/0009-0003-3516-5446
Thaddeus Chi En CheongTriGen, Singapore.ORCID http://orcid.org/0000-0003-0762-8303
Nerice Heng Wen NgiamTriGen, Singapore.ORCID http://orcid.org/0000-0001-5907-7174
Angeline Jie-Yin TeyDepartment of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore.ORCID http://orcid.org/0000-0001-8958-4476
Yu Heng KwanProgram in Health Services and Systems and Research, Duke-NUS Medical School, Singapore.ORCID http://orcid.org/0000-0001-7802-9696
Chee Hsiang Liow *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.ORCID http://orcid.org/0009-0003-4829-4175
Lian Leng Low *Division of Population Health and Integrated Care, Singapore General Hospital, 10 Hospital Blvd, 168582, Singapore, 6562223322.ORCID http://orcid.org/0000-0003-4228-2862
Kennedy Yao Yi Ng *TriGen, Singapore.ORCID http://orcid.org/0000-0001-6630-3803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Community health screening programs frequently report inconsistent follow-up rates and barriers to sustained lifestyle changes. HealthStart is a Self-Determination Theory (SDT)-based intervention that aims to increase the autonomy and competence of participants via volunteer engagement, health and digital coaching, and posthealth screening follow-up. Youth community health volunteers (YCHVs) were taught principles of motivational interviewing, health coaching, and the social determinants of health through a program model anchored in principles of intergenerational and service learning. YCHVs, guided by health care volunteers, served as health and digital advocates for participants over a 3-month postscreening period. Objective: This study aims to evaluate the effectiveness and acceptability of the HealthStart program, a structured, layperson-led intergenerational health coaching intervention. Methods: This study used a convergent parallel mixed methods design. A total of 192 older adult participants' (mean age 66.9, SD 9.6 years) quantitative data were collected through pre- and postprogram surveys between September 2022 and January 2024. Follow-up with primary care provider (PCP) was the primary outcome; secondary outcomes include health goal attainment, self-efficacy, and digital and health literacy among older adults, and acceptability among all stakeholders. PCP follow-up and health goal attainment were self-reported, while self-efficacy was measured using the Patient Activation Measure-13. Health and digital literacy were assessed with an adapted questionnaire and the eHealth Literacy Scale (eHEALS), respectively. A total of 36 semistructured interviews were conducted with 13 older adults, 17 YCHVs, and 6 health care volunteers in the qualitative study between November 2023 and January 2024, which were qualitatively analyzed using thematic analysis. A joint analysis was conducted to generate meta-inferences. Results: The follow-up rate among PCPs increased significantly from 42.7% to 84.5% (P<.001). A total of 66.2% (92/139) of the participants achieved their health goals, and 81.3% (113/139) reported satisfaction with the program. There were no significant pre-post differences in Patient Activation Measure-13, knowledge, and eHEALS scores. However, a statistically significant correlation was found between postcycle eHEALS scores and the number of follow-up visits (P=.003). The qualitative findings substantiate HealthStart's Theory of Change and its SDT underpinnings. Participants' narratives highlighted the 3 SDT psychological needs, increased autonomy, competence, and relatedness, which are associated with sustained behavior change and health engagement. An increase in the PCP follow-up rate was influenced by individually tailored goal setting and relationship-building that leveraged motivational interviewing to support intrinsic motivation. The program's primary outcome was, to some extent, influenced by digital health onboarding and possibly improvements in health literacy. Participants' self-efficacy could have been enhanced with a structured social prescription framework. Conclusions: HealthStart demonstrated the feasibility of using YCHVs and SDT principles to improve PCP follow-up rates and promote healthier lifestyles through digital enablement among older adults participating in community health screening.

Indexed as

Community Health WorkersMass ScreeningVolunteersAdolescentAgedFemaleHumansMaleMiddle AgedMotivational InterviewingProgram Evaluationcommunity healthdigital coachingdigital literacyintergenerational programolder adultpreventive healthyouth community health volunteers

Identifiers

PMID41359934
PMCPMC12685235

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.