ArticlePatient preference and adherence2019
A qualitative study on the design and development of an mHealth app to facilitate communication with the Deaf community: perspective of community pharmacists.
Article in Patient preference and adherence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed.
- Health literacy of the Deaf community: a scoping review.Journal of deaf studies and deaf education · 2026Article
- Empowering postpartum women: the role of mHealth apps in promoting mental health and obesity prevention.BMC women's health · 2025Article
- Exploring experiences of pharmacists and pharmacy students using mHealth apps: A qualitative study of user experience.International journal of qualitative studies on health and well-being · 2023Article
- Medication-Related Experience of Deaf American Sign Language Users.Health literacy research and practice · 2023Article
- Pharmacists' communication skills with deaf and hard of hearing patients: A needs assessment.PloS one · 2023Article
- Understanding User Requirements for a Senior-Friendly Mobile Health Application.Geriatrics (Basel, Switzerland) · 2022Article
- Identifying the content, functionalities, and features of a mobile application for contact lens wearers.BMC medical informatics and decision making · 2022Article
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- Assessment of community pharmacists' communication and comfort levels when interacting with Deaf and hard of hearing patients.Pharmacy practiceArticle
- Assessing Medical Students' Knowledge of the Deaf Culture and Community in Puerto Rico: A Descriptive Study.Journal of medical education and curricular developmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study prepares the groundwork on the potential design and development of a mobile health (mHealth) app that will be able to bridge the communication gap between pharmacists and patients who are Deaf and Hard of Hearing (DHoH). PATIENTS AND
methodsA focus group discussion was conducted with 12 community pharmacists. Participants were recruited using snowball sampling. Audio-recordings were transcribed verbatim, and analyzed using a thematic approach.
resultsThree themes were apparent: 1) suggestions for app design and content, 2) perceived benefits of the app, and 3) potential challenges related to the app. Participants believed the app would be able to facilitate and improve communication, and hence relationship, between pharmacists and the DHoH. Potential challenges of the app were highlighted, such as the need for manpower to manage the app, and its cost to this group of economically disadvantaged people. There were also concerns about privacy and security.
conclusionsThis study allowed community pharmacists, one of the end-users of the app, to provide feedback on the contents and design of the app, which would allow them to provide pharmaceutical care services to patients who are DHoH, and better serve them. Potential benefits and challenges of the app were also identified. Undoubtedly, through the mHealth app, community pharmacists will be better equipped to serve and communicate with the DHoH, and this will hopefully translate to improved health outcomes in these patients.
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Registered trials
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.