Evidence map›Paper›PMID 39070698›Full record

ArticleInnovation in aging2024

Promoting Late-Life Volunteering With Timebanking: A Quasi-Experimental Mixed-Methods Study in Hong Kong.

Shiyu Lu, Cheryl Chui, Terry Lum, Tianyin Liu, Gloria Wong, Wai Chan

Abstract read
In one paragraph

Article in Innovation in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Shiyu LuDepartment of Social and Behavioural Sciences, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID https://orcid.org/0000-0002-9355-4883
Cheryl ChuiDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.ORCID https://orcid.org/0000-0002-3284-5724
Terry LumDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.
Tianyin LiuDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.ORCID https://orcid.org/0000-0002-8194-5342
Gloria WongSchool of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.ORCID https://orcid.org/0000-0002-1331-942X
Wai ChanSau Po Centre on Ageing, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: This study explores the impact of timebanking, where individuals earn time credits, nonmonetary currency, on promoting volunteerism among older adults. Research Design and Methods: This study employed a quasi-experimental design with 116 timebank group (TBG) participants and 114 comparison group (CG) participants from 2021 to 2022. TBG received time credits to exchange for rewards, while CG received no time credits (i.e., volunteering as usual). The intervention of timebanking lasted for 1 year. Volunteering behaviors were tracked via an app, and intentions to volunteer were assessed at baseline (T0), after 6 months (the midpoint of the intervention, T1), and after 12 months (the endpoint of the intervention, T2). The use of rewards by TBG participants was also recorded (e.g., for personal use or sharing with others). Furthermore, focus group interviews were conducted to understand how rewards influenced participants' volunteerism. Results: TBG had significantly higher weekly volunteer hours at T2 (β = 1.37, Discussion and Implications: Timebanking effectively encourages late-life volunteering. The study provides practical implications for promoting volunteering among older people.

Indexed as

Active agingProductive agingVolunteerism

Identifiers

PMID39070698
PMCPMC11275466

What OpenQuestion holds

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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.