ArticleJournal of medical Internet research2020
Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- A systematic review on the effectiveness and impact of clinical decision support systems for breathlessness.NPJ primary care respiratory medicine · 2022Pooled it
- Implementation and Evaluation of a Social Networking Service-Based Mobile Patient-Generated Health Data System With Direct Electronic Medical Record Integration: Prospective Observational Study.JMIR medical informatics · 2026Observational
- Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review.Journal of medical Internet research · 2026Article
- User-Centered Design of an Electronic COPD Patient Questionnaire for Clinical Decision Support.International journal of chronic obstructive pulmonary disease · 2026Article
- Acceptability and Utility of a Web-Based Patient-Completed Clinical Decision Aid for the Differential Diagnosis of Transient Loss of Consciousness: Qualitative Interview Study.JMIR formative research · 2025Article
- Impact of a Novel Electronic Medical Record-Integrated Electronic Form (Provider Asthma Assessment Form) and Severe Asthma Algorithm in Primary Care: Single-Center, Pre- and Postobservational Study.JMIR formative research · 2025Observational
- Current Implementation of Digital Health in Chronic Disease Management: Scoping Review.Journal of medical Internet research · 2024Article
- Integrating asthma care guidelines into primary care electronic medical records: a review focused on Canadian knowledge translation tools.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- Improving computerized decision support system interventions: a qualitative study combining the theoretical domains framework with the GUIDES Checklist.BMC medical informatics and decision making · 2023Article
- Mobile Health for Asthma.CHEST pulmonary · 2023Review
- Barriers and facilitators of electronic patient portal uptake for asthma management.The Journal of asthma : official journal of the Association for the Care of Asthma · 2023Article
- Primary care asthma surveillance: a review of knowledge translation tools and strategies for quality improvement.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023Review
- Barriers and Enablers to Using a Patient-Facing Electronic Questionnaire: A Qualitative Theoretical Domains Framework Analysis.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundmHealth tablet-based interventions are increasingly being studied and deployed in various health care settings, yet little knowledge exists regarding patient uptake and acceptance or how patient demographics influence these important implementation metrics.
objectiveTo determine which factors influence the uptake and successful completion of an mHealth tablet questionnaire by analyzing its implementation in a primary care setting.
methodsWe prospectively studied a patient-facing electronic touch-tablet asthma questionnaire deployed as part of the Electronic Asthma Management System. We describe tablet uptake and completion rates and corresponding predictor models for these behaviors.
resultsThe tablet was offered to and accepted by patients in 891/1715 (52.0%) visits. Patients refused the tablet in 33.0% (439/1330) visits in which it was successfully offered. Patients aged older than 65 years of age (odds ratio [OR] 2.30, 95% CI 1.33-3.95) and with concurrent chronic obstructive pulmonary disease (OR 2.22, 95% CI 1.05-4.67) were more likely to refuse the tablet, and those on an asthma medication (OR 0.55, 95% CI 0.30-0.99) were less likely to refuse it. Once accepted, the questionnaire was completed in 784/891 (88.0%) instances, with those on an asthma medication (OR 0.53, 95% CI 0.32-0.88) being less likely to leave it incomplete.
conclusionsOlder age predicted initial tablet refusal but not tablet questionnaire completion, suggesting that perceptions of mHealth among older adults may negatively impact uptake, independent of usability. The influence of being on an asthma medication suggests that disease severity may also mediate mHealth acceptance. Although use of mHealth questionnaires is growing rapidly across health care settings and diseases, few studies describe their real-world acceptance and its predictors. Our results should be complemented by qualitative methods to identify barriers and enablers to uptake and may inform technological and implementation strategies to drive successful usage.
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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.