Cargando…
Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users
BACKGROUND: Mobile applications offer a new approach to personal health records, which are internet-based tools for patients to consolidate and manage their health information. The University of Pennsylvania Health System (UPHS) was one of the first health systems to participate in Apple Health Reco...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826150/ https://www.ncbi.nlm.nih.gov/pubmed/35076397 http://dx.doi.org/10.2196/29367 |
_version_ | 1784647372365627392 |
---|---|
author | Rolnick, Joshua Ward, Robin Tait, Gordon Patel, Neha |
author_facet | Rolnick, Joshua Ward, Robin Tait, Gordon Patel, Neha |
author_sort | Rolnick, Joshua |
collection | PubMed |
description | BACKGROUND: Mobile applications offer a new approach to personal health records, which are internet-based tools for patients to consolidate and manage their health information. The University of Pennsylvania Health System (UPHS) was one of the first health systems to participate in Apple Health Records (AHR), a prominent example of this new generation of personal health records. OBJECTIVE: This study aimed to characterize early adoption of AHR among UPHS patients and understand user perspectives. METHODS: An email-based survey with fixed answer, Likert scale, and open-ended questions was administered to all UPHS patients using AHR in the first 10 months of enrollment. Survey data linked to the UPHS electronic health record system were used to analyze responses. Multivariable logistic regression modeled the association of patient characteristics with user ratings. Content analysis was used to analyze open-ended questions. RESULTS: At the time of the survey, a total of 1458 patients had used AHR at least once. Mean age of AHR users was 47.5 years, 66.3% (967/1458) were male, 70.9% (1033/1458) were white, and 80.8% (1178/1458) had private insurance. Response rate was 26.8% (391/1458); 46.3% (180/389) were very satisfied with AHR, and 67.7% (264/390) described it as very easy to use. The most commonly utilized features were lab results (324/391, 82.9%), clinical vitals (264/391, 67.5%), and medications (253/391, 64.7%). No patient characteristics were associated with reporting high satisfaction or ease of use. The most common reason for using AHR was convenience/ease of use, and 58.2% (160/275) of users reported allowing no other apps to access their health information, citing privacy as one consideration. CONCLUSIONS: Early adopters of AHR were demographically white, male, and privately insured. Convenience was an important facilitator, and users were selective in which apps they allowed to access their health information. |
format | Online Article Text |
id | pubmed-8826150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88261502022-02-11 Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users Rolnick, Joshua Ward, Robin Tait, Gordon Patel, Neha J Med Internet Res Original Paper BACKGROUND: Mobile applications offer a new approach to personal health records, which are internet-based tools for patients to consolidate and manage their health information. The University of Pennsylvania Health System (UPHS) was one of the first health systems to participate in Apple Health Records (AHR), a prominent example of this new generation of personal health records. OBJECTIVE: This study aimed to characterize early adoption of AHR among UPHS patients and understand user perspectives. METHODS: An email-based survey with fixed answer, Likert scale, and open-ended questions was administered to all UPHS patients using AHR in the first 10 months of enrollment. Survey data linked to the UPHS electronic health record system were used to analyze responses. Multivariable logistic regression modeled the association of patient characteristics with user ratings. Content analysis was used to analyze open-ended questions. RESULTS: At the time of the survey, a total of 1458 patients had used AHR at least once. Mean age of AHR users was 47.5 years, 66.3% (967/1458) were male, 70.9% (1033/1458) were white, and 80.8% (1178/1458) had private insurance. Response rate was 26.8% (391/1458); 46.3% (180/389) were very satisfied with AHR, and 67.7% (264/390) described it as very easy to use. The most commonly utilized features were lab results (324/391, 82.9%), clinical vitals (264/391, 67.5%), and medications (253/391, 64.7%). No patient characteristics were associated with reporting high satisfaction or ease of use. The most common reason for using AHR was convenience/ease of use, and 58.2% (160/275) of users reported allowing no other apps to access their health information, citing privacy as one consideration. CONCLUSIONS: Early adopters of AHR were demographically white, male, and privately insured. Convenience was an important facilitator, and users were selective in which apps they allowed to access their health information. JMIR Publications 2022-01-25 /pmc/articles/PMC8826150/ /pubmed/35076397 http://dx.doi.org/10.2196/29367 Text en ©Joshua Rolnick, Robin Ward, Gordon Tait, Neha Patel. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.01.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Rolnick, Joshua Ward, Robin Tait, Gordon Patel, Neha Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users |
title | Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users |
title_full | Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users |
title_fullStr | Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users |
title_full_unstemmed | Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users |
title_short | Early Adopters of Apple Health Records at a Large Academic Medical Center: Cross-sectional Survey of Users |
title_sort | early adopters of apple health records at a large academic medical center: cross-sectional survey of users |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826150/ https://www.ncbi.nlm.nih.gov/pubmed/35076397 http://dx.doi.org/10.2196/29367 |
work_keys_str_mv | AT rolnickjoshua earlyadoptersofapplehealthrecordsatalargeacademicmedicalcentercrosssectionalsurveyofusers AT wardrobin earlyadoptersofapplehealthrecordsatalargeacademicmedicalcentercrosssectionalsurveyofusers AT taitgordon earlyadoptersofapplehealthrecordsatalargeacademicmedicalcentercrosssectionalsurveyofusers AT patelneha earlyadoptersofapplehealthrecordsatalargeacademicmedicalcentercrosssectionalsurveyofusers |