Evidence map›Paper›PMID 41585297›Full record

ArticleDigital health

Development and validation of social compensation design scale for urban older users in the context of smart-home social media.

Ke Ma, Ying Zhao, Francesco Ermanno Guida, Meng Gao, Renke He, Jinjun Xia

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Ke MaDepartment of Design, School of Arts, Chongqing University, Chongqing, China.ORCID https://orcid.org/0000-0001-7871-2815
Ying ZhaoSchool of Art and Design, Shenzhen University, Shenzhen, China.ORCID https://orcid.org/0000-0001-5730-5890
Francesco Ermanno GuidaDesign Department, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0003-3679-3367
Meng GaoSchool of Design, Hunan University, Changsha, China.ORCID https://orcid.org/0009-0005-8833-5298
Renke HeSchool of Design, Hunan University, Changsha, China.
Jinjun XiaDepartment of Design, School of Arts, Chongqing University, Chongqing, China.ORCID https://orcid.org/0000-0001-6291-3751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The social compensation hypothesis posits that computer-mediated communication can offset psychosocial vulnerabilities among users who face barriers to face-to-face interaction, thereby enhancing well-being. Yet, there is no validated instrument to assess which design features of digital systems enable such compensation. Objective: To develop and validate a Social Compensation Design Scale (SCDS) for urban older adults living alone, situated within smart-home social media as part of home-based, health-enabling environments. Methods: We conducted a three-phase study from an information systems design perspective: item generation and expert review via a Delphi process, followed by two questionnaire surveys. Valid responses were obtained from 340 and 357 urban older adults, respectively. Psychometric analyses (reliability and validity testing) were conducted across two independent samples. Results: The SCDS comprises four dimensions-User Interface Quality, Interaction Quality, Content Quality, and Service Quality-with 16 items overall. Across samples, the scale demonstrated strong internal consistency and construct validity. Conclusions: The SCDS offers a concise, user-centred measure for evaluating how smart-home social media design supports psychosocial well-being in older adults aging in place. The scale provides researchers and designers with a structured toolkit for assessing user experience in health-related home environments and for informing design decisions that promote acceptance and sustained use of digital health applications among older populations.

Indexed as

Chinese urban older users living alonescale developmentsmart-home social mediasocial compensation designsubjective well-being

Identifiers

PMID41585297
PMCPMC12827931

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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.