Evidence map›Paper›PMID 33150303›Full record

ArticleProceedings of the ACM on human-computer interaction2020

Go&Grow: An Evaluation of a Pervasive Social Exergame for Caregivers of Loved Ones with Dementia.

Xin Yao Lin, Herman Saksono, Elizabeth Stowell, Margie E Lachman, Carmen Castaneda-Sceppa, Andrea G Parker

Abstract read
In one paragraph

Article in Proceedings of the ACM on human-computer interaction, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  8. Socially Assistive Robots for Dementia Care: Exploring Caregiver Perceptions of Use Cases and Acceptance.Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting · 2021
    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.

Xin Yao LinBrandeis University, USA.
Herman SaksonoKhoury College of Computer Sciences, Northeastern University, USA.
Elizabeth StowellKhoury College of Computer Sciences & Bouve College of Health Sciences, Northeastern University, USA.
Margie E LachmanBrandeis University, USA.
Carmen Castaneda-SceppaBouve College of Health Sciences, Northeastern University, USA.
Andrea G ParkerSchool of Interactive Computing, Georgia Institute of Technology, USA.

Funding

Core B - Pilot StudiesP30AG048785 · NIA · BRANDEIS UNIVERSITY · PI LACHMAN, MARGIE E · 2014 to 2023
$4.5M
NIA NIH HHS P30 AG048785
6 · The paper itself

Abstract

Caregivers of persons with dementia (PWD) experience higher rates of stress, social isolation, and poor mental and physical health compared to non-caregiving populations. There is a vital need for engaging, sustainable, and scalable resources to support social, physical, and emotional wellbeing amongst caregivers of PWD. To explore this open design space, we designed and conducted a 6-week mixed-method evaluation of Go&Grow, a pervasive social exergame in which flowers grow as users increase physical activity and interact with other caregivers of PWD. Our findings showed that using Go&Grow helped participants relieve stress, increase physical activity, and develop empathy for and patience towards the loved one with dementia that they cared for. At the same time, tension arose as some caregivers desired to learn about the life challenges that Go&Grow users faced, while others hesitated to share such content. We discuss our findings and recommendations for future technology that promotes caregivers' time for themselves, understanding of PWD, and connections with other caregivers.

Indexed as

CaregiverExergameInterventionPeople with DementiaPhysical activitySocial connectedness

Identifiers

PMID33150303
PMCPMC7605491

What OpenQuestion holds

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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 OpenQuestion graph.