Evidence map›Paper›PMID 37350890›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2023

Using Health Forum Data to Assess User Needs for mHealth App Development: A Feasibility Study on Alzheimer's Disease.

Danny T Y Wu, Shwetha Bindhu, Hoang Vu, Shuai Mu, Catherine Xu, Somya Pandey, Brett Harnett, James J Lee

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Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2023. 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

–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

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.

Danny T Y WuCollege of Medicine, University of Cincinnati, Cincinnati, OH.

Shwetha BindhuCollege of Medicine, University of Cincinnati, Cincinnati, OH.

Hoang VuCollege of Medicine, University of Cincinnati, Cincinnati, OH.

Shuai MuCollege of Medicine, University of Cincinnati, Cincinnati, OH.

Catherine XuCollege of Medicine, University of Cincinnati, Cincinnati, OH.

Somya PandeyCollege of Medicine, University of Cincinnati, Cincinnati, OH.

Brett HarnettCollege of Medicine, University of Cincinnati, Cincinnati, OH.

James J LeeDigital Scholarship Center, University of Cincinnati, Cincinnati, OH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online health forums are used by patients and caregivers as community and information resources, especially for chronic disease management, and could help determine user needs for digital health app design. This study aims to assess the feasibility of using online forum posts on Alzheimer's disease to inform user needs in mobile health application design and whether this process can be automated through text clustering methods. A total of 413 posts were analyzed manually through thematic coding and yielded three themes and nine subthemes for patient and caregiver needs. The external evaluation showed fair to substantial similarity between the automatically and manually derived labels. Four personas were developed to assess the validity of forum-generated needs. These results establish that health forum data can provide sufficient information to understand user needs. However, further refinement of the analysis process and algorithm is necessary to generalize this method to other disease conditions and types of forum data.

Identifiers

PMID37350890

PMCPMC10283144

What OpenQuestion holds

Textmetadata

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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.