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Record W4413784176 · doi:10.2196/66176

Providers’ Perspective on the Feasibility of Digital Self-Management of Blood Pressure in Refugees: Mixed Methods Study

2025· article· en· W4413784176 on OpenAlexvenueno aff
Carol Gonzalez, Marcos Real, Nargis Ahmadi, Raghad Aljenabi, Lana Bridi, Nour Makarem, Job Godino, Tala Al‐Rousan

Bibliographic record

VenueJMIR Human Factors · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health DisparitiesNational Heart, Lung, and Blood Institute
KeywordsPreprintPerspective (graphical)RefugeePsychologyComputer sciencePolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Background: Mass displacement is a grand public health challenge. Refugees and immigrants experience a disparate hypertension burden and disparities in self-management. Successful hypertension self-management is key for improving outcomes, but research on its feasibility in refugee and immigrant health care settings is limited. Objective: This study aimed to identify clinic staff-perceived barriers to and facilitators of implementing a digital intervention for hypertension self-management among refugee and immigrant patients and to identify its feasibility and usability. Methods: Primary care physicians and medical assistants who care for refugees and immigrants in San Diego were interviewed using human-centered semistructured methods (n=18). Interviews were analyzed using an inductive approach. Usability testing for the software (Med Pro Care) was conducted with participants (n=15) to test the feasibility of real-time tracking of blood pressure (BP) home readings for hypertension self-management. Clinical staff rated their satisfaction on the System Usability Scale and the NASA Task Load Index, which measured mental workload. Results: For refugee and immigrant patients self-managing hypertension, clinical staff identified barriers and facilitators in the following areas: (1) social determinants of health increase hypertension burden among refugee and immigrant patients, (2) clinical staff face challenges to effective hypertension care for refugee and immigrant patients, (3) perceived benefits of potential intervention for self-management, and (4) perceived barriers to potential intervention for self-management. Primary care physicians completed 90% of the tasks, and medical assistants completed 83% of the tasks successfully. Most clinic staff found the software system for monitoring BP to be easy to use with an average score for usability of 4.1 of 5.0 (SD 0.4). Conclusions: Addressing identified barriers to and facilitators of self-management of hypertension is crucial to designing effective interventions in real-world refugee and immigrant health care settings. Telemonitoring interventions using software that transfers BP readings to clinical staff in real time may be feasible from the perspective of clinic staff and can address hypertension disparities in marginalized populations, such as immigrants and refugees. Addressing identified barriers to and facilitators of self-management is crucial to designing effective interventions in real-world refugee and immigrant health care settings. Our findings suggest that clinic staff view digital telemonitoring as both feasible and supportive of patient empowerment, health literacy, and improved communication-factors essential to addressing hypertension disparities in marginalized populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.032
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.035
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.445
Teacher spread0.396 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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