Evidence map›Paper›PMID 34951599›Full record

ArticleJMIR human factors2021

Perceptions of Older Men Using a Mobile Health App to Monitor Lower Urinary Tract Symptoms and Tamsulosin Side Effects: Mixed Methods Study.

Elizabeth Y Wang, Benjamin N Breyer, Austin W Lee, Natalie Rios, Akinyemi Oni-Orisan, Michael A Steinman, Ida Sim, Stacey A Kenfield, Scott R Bauer

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2021. 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
0.7field-weighted citation impact, top 31% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

9 authors at 2 institutions in 1 country.

Elizabeth Y WangColumbia Vagelos College of Physicians and Surgeons, New York, NY, United States.ORCID https://orcid.org/0000-0001-5226-7258
Benjamin N BreyerUniversity of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-0532-048X
Austin W LeeUniversity of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2811-7385
Natalie RiosUniversity of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-2583-1241
Akinyemi Oni-OrisanUniversity of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-5897-5543
Michael A SteinmanUniversity of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-9564-9480
Ida SimUniversity of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-1045-8459
Stacey A Kenfield *University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-1585-7352
Scott R Bauer *University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4908-1924
University of California, San Francisco · USColumbia University · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2013 to 2026
$19.9M
Age-related changes in skeletal muscle and lower urinary tract symptoms in older adultsK76AG074903 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BAUER, SCOTT RYAN · 2021 to 2025
$1.2M
NIA NIH HHS K76 AG074903NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

backgroundMobile health (mHealth) apps may provide an efficient way for patients with lower urinary tract symptoms (LUTS) to log and communicate symptoms and medication side effects with their clinicians.

objectiveThe aim of this study was to explore the perceptions of older men with LUTS after using an mHealth app to track their symptoms and tamsulosin side effects.

methodsStructured phone interviews were conducted after a 2-week study piloting the daily use of a mobile app to track the severity of patient-selected LUTS and tamsulosin side effects. Quantitative and qualitative data were considered.

resultsAll 19 (100%) pilot study participants completed the poststudy interviews. Most of the men (n=13, 68%) reported that the daily questionnaires were the right length, with 32% (n=6) reporting that the questionnaires were too short. Men with more severe symptoms were less likely to report changes in perception of health or changes in self-management; 47% (n=9) of the men reported improved awareness of symptoms and 5% (n=1) adjusted fluid intake based on the questionnaire. All of the men were willing to share app data with their clinicians. Thematic analysis of qualitative data yielded eight themes: (1) orientation (setting up app, format, symptom selection, and side-effect selection), (2) triggers (routine or habit and symptom timing), (3) daily questionnaire (reporting symptoms, reporting side effects, and tailoring), (4) technology literacy, (5) perceptions (awareness, causation or relevance, data quality, convenience, usefulness, and other apps), (6) self-management, (7) clinician engagement (communication and efficiency), and (8) improvement (reference materials, flexibility, language, management recommendations, and optimize clinician engagement).

conclusionsWe assessed the perceptions of men using an mHealth app to monitor and improve management of LUTS and medication side effects. LUTS management may be further optimized by tailoring the mobile app experience to meet patients' individual needs, such as tracking a greater number of symptoms and integrating the app with clinicians' visits. mHealth apps are likely a scalable modality to monitor symptoms and improve care of older men with LUTS. Further study is required to determine the best ways to tailor the mobile app and to communicate data to clinicians or incorporate data into the electronical medical record meaningfully.

Indexed as

BPHmHealthmobile healthtelehealthtelemedicine

Identifiers

PMID34951599
PMCPMC8742207
OpenAlexW3196550534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.