Evidence map›Paper›PMID 32945779›Full record

ArticleJournal of medical Internet research2020

Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling.

Andrew Kouri, Janet Yamada, Joanna E M Sale, Sharon E Straus, Samir Gupta

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. User-Centered Design of an Electronic COPD Patient Questionnaire for Clinical Decision Support.International journal of chronic obstructive pulmonary disease · 2026
    Article
  5. Article
  6. Observational
  7. Article
  8. 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 · 2024
    Review
  9. Article
  10. Mobile Health for Asthma.CHEST pulmonary · 2023
    Review
  11. 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 · 2023
    Article
  12. 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 · 2023
    Review
  13. 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

5 authors at 2 institutions in 1 country.

Andrew KouriDivision of Respirology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-2566-9187
Janet YamadaDaphne Cockwell School of Nursing, Ryerson University, Toronto, ON, Canada.ORCID 0000-0002-4869-2427
Joanna E M SaleLi Ka Sing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0003-0389-3038
Sharon E StrausDepartment of Medicine, Division of Geriatrics, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-6106-832X
Samir GuptaDivision of Respirology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0002-7307-6247
St. Michael's Hospital · CAToronto Metropolitan University · CA

Funding

CIHR
6 · The paper itself

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.

Indexed as

AgedAsthmaFemaleHumansMalePrimary Health CareProspective StudiesSurveys and QuestionnairesTelemedicineasthmaelectronic questionnairemHealth uptakemodelingtablet

Identifiers

PMID32945779
PMCPMC7532461
OpenAlexW3087376099

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.