Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling
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 determin...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2020-09-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | http://www.jmir.org/2020/9/e19358/ |
| _version_ | 1819278940012806144 |
|---|---|
| author | Kouri, Andrew Yamada, Janet Sale, Joanna E M Straus, Sharon E Gupta, Samir |
| author_facet | Kouri, Andrew Yamada, Janet Sale, Joanna E M Straus, Sharon E Gupta, Samir |
| author_sort | Kouri, Andrew |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-24T00:19:59Z |
| format | Article |
| id | doaj.art-68b26e0e864c4e9c8ec89aac317266da |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-12-24T00:19:59Z |
| publishDate | 2020-09-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-68b26e0e864c4e9c8ec89aac317266da2022-12-21T17:24:37ZengJMIR PublicationsJournal of Medical Internet Research1438-88712020-09-01229e1935810.2196/19358Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor ModelingKouri, AndrewYamada, JanetSale, Joanna E MStraus, Sharon EGupta, SamirBackgroundmHealth 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.http://www.jmir.org/2020/9/e19358/ |
| spellingShingle | Kouri, Andrew Yamada, Janet Sale, Joanna E M Straus, Sharon E Gupta, Samir Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling Journal of Medical Internet Research |
| title | Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling |
| title_full | Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling |
| title_fullStr | Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling |
| title_full_unstemmed | Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling |
| title_short | Primary Care Pre-Visit Electronic Patient Questionnaire for Asthma: Uptake Analysis and Predictor Modeling |
| title_sort | primary care pre visit electronic patient questionnaire for asthma uptake analysis and predictor modeling |
| url | http://www.jmir.org/2020/9/e19358/ |
| work_keys_str_mv | AT kouriandrew primarycareprevisitelectronicpatientquestionnaireforasthmauptakeanalysisandpredictormodeling AT yamadajanet primarycareprevisitelectronicpatientquestionnaireforasthmauptakeanalysisandpredictormodeling AT salejoannaem primarycareprevisitelectronicpatientquestionnaireforasthmauptakeanalysisandpredictormodeling AT straussharone primarycareprevisitelectronicpatientquestionnaireforasthmauptakeanalysisandpredictormodeling AT guptasamir primarycareprevisitelectronicpatientquestionnaireforasthmauptakeanalysisandpredictormodeling |