Evidence map›Paper›PMID 41041243›Full record

ArticleJournal of family medicine and primary care2025

A participatory evaluation of an intergenerational project on the lives of the older adults in rural central India using the most significant change approach.

Rutuja S Kolhe, Manashri Bhuyar, Abhishek Raut, Arjunkumar Jakasania, Anuj Mundra, Radhika Sharma, Amey Dhatrak, P V Bahulekar, Chetna H Maliye, Subodh Gupta

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Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Rutuja S KolheDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Manashri BhuyarDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Abhishek RautDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Arjunkumar JakasaniaDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Anuj MundraDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Radhika SharmaDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Amey DhatrakDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
P V BahulekarDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Chetna H MaliyeDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.
Subodh GuptaDepartment of Community Medicine, MGIMS, Sevagram, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Intergenerational engagement programs aim to foster meaningful interactions between older adults and younger generations by using community resources and participation. These interventions strive to create age-integrated families and communities sustainably, emphasizing the valuable contributions older adults can make to the growth and development of children and adolescents. Methods: This study, part of the 'Sahjeevan: Chaitanya natyanche' project in 18 villages of Wardha district, India, adopted a participatory qualitative approach using the Most Significant Change (MSC) method. Stakeholders, including panchayat members, master trainers, peer trainers, and Anganwadi workers, participated in identifying significant community changes. Initially, ten stories highlighting changes resulting from the interventions were collected and categorized into three domains: individual, family, and community-level changes. A selection rubric was developed to assess the significance of these stories. Subsequently, a selection committee panel evaluated and selected the five most significant stories of change. Results: The selected stories provided comprehensive insights into the key areas where the project activities positively influenced beneficiaries' lives. These narratives offered an in-depth understanding of both beneficiaries' and stakeholders' perspectives on the project's implementation and impact. Conclusion: The participatory approach proved effective in capturing meaningful narratives of intergenerational engagement. The process facilitated reflection and dialogue among community members, highlighting how older adults contributed to the growth and learning of younger generations. This engagement fostered stronger intergenerational bonds, reinforcing the project's vision of building age-integrated communities where mutual learning and support thrive within the Indian context.

Indexed as

Age-integrated communitiescommunity participationintergenerational engagementolder adultparticipatory evaluationqualitative research

Identifiers

PMID41041243
PMCPMC12488104

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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.