Evidence map›Paper›PMID 38476372›Full record

ArticleJAMIA open2024

Evaluating and improving the usability of a mHealth platform to assess postoperative dental pain.

Ana M Ibarra-Noriega, Alfa Yansane, Joanna Mullins, Kristen Simmons, Nicholas Skourtes, David Holmes, Joel White, Elsbeth Kalenderian, Muhammad F Walji

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2024. 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

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.

  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

9 authors.

Ana M Ibarra-NoriegaDiagnostic and Biomedical Sciences, School of Dentistry, University of Texas Health Science Center at Houston, Houston, TX 77054, United States.ORCID https://orcid.org/0000-0002-7134-9627
Alfa YansanePreventive and Restorative Dental Sciences, School of Dentistry, University of California at San Francisco, San Francisco, CA 94143, United States.
Joanna MullinsSkourtes Institute, Hillsboro, OR 97124, United States.
Kristen SimmonsSkourtes Institute, Hillsboro, OR 97124, United States.
Nicholas SkourtesSkourtes Institute, Hillsboro, OR 97124, United States.
David HolmesFollowApp.Care, London, W1G 8GE, United Kingdom.
Joel WhitePreventive and Restorative Dental Sciences, School of Dentistry, University of California at San Francisco, San Francisco, CA 94143, United States.
Elsbeth KalenderianMarquette University School of Dentistry, Milwaukee, WI 53233, United States.
Muhammad F WaljiDiagnostic and Biomedical Sciences, School of Dentistry, University of Texas Health Science Center at Houston, Houston, TX 77054, United States.

Funding

AHRQ HHS U18 HS026135
6 · The paper itself

Abstract

Objectives: The use of interactive mobile health (mHealth) applications to monitor patient-reported postoperative pain outcomes is an emerging area in dentistry that requires further exploration. This study aimed to evaluate and improve the usability of an existing mHealth application. Materials and methods: The usability of the application was assessed iteratively using a 3-phase approach, including a rapid cognitive walkthrough (Phase I), lab-based usability testing (Phase II), and Results: The rapid cognitive walkthrough identified 23 potential issues that could negatively impact user experience, with the majority classified as system issues. The lab-based usability testing yielded 141 usability issues.; 43% encountered by patients and 57% by dentists. Usability problems encountered during pilot testing included undelivered messages due to mobile phone carrier and service-related issues, errors in patients' phone number data entry, and problems in provider training. Discussion: Through collaborative and iterative work with the vendor, usability issues were addressed before launching a trial to assess its efficacy. Conclusion: The usability of the mHealth application for postoperative dental pain was remarkably improved by the iterative analysis and interdisciplinary collaboration.

Indexed as

dental informaticsdental painmHealth applicationspatient-reported outcomesusability testing

Identifiers

PMID38476372
PMCPMC10928307

What OpenQuestion holds

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LicenceCC BY-NC
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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.