Evidence map›Paper›PMID 35773874›Full record

ArticleStudies in health technology and informatics2022

Applying Participatory Design Mixed-Methods Approaches to Refine Twitter-Based Social Support Interventions for African Americans and Hispanic Family Caregivers of Persons with Dementia.

Sunmoo Yoon, Peter Broadwell, Carmela Alcantara, Nicole Davis, Frederick F Sun, Maria D de Planell Saguer, Joo Young Nho, Mary Mittelman

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Sunmoo YoonGeneral Medicine, Department of Medicine, Columbia University, USA.
Peter BroadwellCenter for Interdisciplinary Digital Research, Stanford University, USA.
Carmela AlcantaraSchool of Social Work, Columbia University, USA.
Nicole DavisSchool of Nursing, Clemson University, USA.
Frederick F SunDepartment of Rehabilitation and Regenerative Medicine, Columbia University, USA.
Maria D de Planell SaguerGeneral Medicine, Department of Medicine, Columbia University, USA.
Joo Young NhoGeneral Medicine, Department of Medicine, Columbia University, USA.
Mary MittelmanDepartment of Psychiatry, NYU Grossman School of Medicine, USA.

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Using Twitter to Enhance the Social Support of Hispanic and Black Dementia Caregivers (Tweet-SS)R01AG060929 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YOON, SUNMOO · 2019 to 2023
$3.0M
NIA NIH HHS P30 AG066512NIA NIH HHS R01 AG060929
6 · The paper itself

Abstract

We applied mixed-methods to refine our first version of the Twitter message library (English 400, translated into Spanish 400) for African Americans and Hispanic family caregivers for a person with dementia. We conducted a series of expert panels to collect quantitative and qualitative data using surveys and in-depth interviews. Using mixed methods to ensure unbiased results, the panelists first independently scored them (1 message/5 panelist) on a scale of 1 to 4 (1: lowest, 4: highest), followed by in-depth interviews and group discussions. Survey results showed that the average score was 3.47, indicating good to excellent (SD 0.35, ranges from 1.8 to 4). Quantitative surveys and qualitative interviews showed different results in emotional support messages.

Indexed as

DementiaSocial MediaBlack or African AmericanCaregiversHispanic or LatinoHumansSocial SupportDementia caregivingparticipatory designsocial media

Identifiers

PMID35773874
PMCPMC9260918

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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.