Evidence map›Paper›PMID 36232208›Full record

ArticleInternational journal of environmental research and public health2022

Incorporating the Co-Creation Method into Social Innovation Design to Promote Intergenerational Integration: A Case Study of a Public Square.

Jianbin Wu, Linghao Zhang, Xiangfang Ren

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Jianbin WuSchool of Design, Jiangnan University, Wuxi 214000, China.ORCID 0000-0001-6528-9763
Linghao ZhangSchool of Design, Jiangnan University, Wuxi 214000, China.
Xiangfang RenSchool of Design, Jiangnan University, Wuxi 214000, China.ORCID 0000-0003-1278-8926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the COVID-19 pandemic sweeping the world, there is an increased focus on intergenerational relationships, community mental health issues, and well-being in community contexts. This paper assesses the effectiveness of a co-creation approach for intergenerational integration at the theoretical level. The study used a collaborative co-creation design method in the community design process to explore whether the participation of community residents of all ages in addressing community issues promoted communication and alleviated stereotyping between the various generations. This study was conducted in Shanghai's Hongqiao New Village square, where we conducted participatory research and co-creation workshops in response to the demand for the use of the public space as a location for social interactions. The results showed that intervention in community creation through collaborative design is conducive to promoting friendly relations among different age groups, forming a sense of social security and thus enhancing social well-being. Finally, this paper combines practical cases and theoretical models of collaborative co-creative design approaches to promote the intergenerational integration of communities and is summarized from the input and output parts as well as the influencing factors and constraints of the collaborative co-creative. In addition, it provides new ideas on how to improve intergenerational relationships and form a positive and sustainable community mental health environment in the future.

Indexed as

COVID-19PandemicsChinaCommunicationHumansResearch Designco-creation designcommunity mental healthdesign methoddesign strategyintergenerational integrationsocial innovation

Identifiers

PMID36232208
PMCPMC9564664

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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.