Literature DB >> 27172297

Apple HealthKit and Health App: Patient Uptake and Barriers in Primary Care.

Frederick North1, Rajeev Chaudhry1.   

Abstract

BACKGROUND: The Apple (Cupertino, CA) HealthKit is a new telemonitoring platform that promises to make it easier for patients and healthcare institutions to collect, transmit, and store data from devices that monitor common conditions such as diabetes, hypertension, and asthma. To assess the potential use for this platform in primary care, we need to know how many Apple Healthkit users there are and if they have conditions that could benefit from telemonitoring.
MATERIALS AND METHODS: We examined patients in the Mayo Clinic primary care practice in Rochester, MN, who registered to connect to their Mayo Clinic medical record with Apple HealthKit. We used the primary care registry to identify users with chronic conditions of diabetes, hypertension, asthma, and depression. We also examined users for recent measurements of blood pressure, glucose, hemoglobin A1C, and cholesterol.
RESULTS: Of 98,151 patients there were 503 registrants of HealthKit. There were 95 (19%) who had hypertension, 37 (7.4%) who had diabetes, 125 (25%) who had depression, and 56 (11%) who had asthma. Overall, there were 245 (49%) who had readily telemonitorable conditions.
CONCLUSIONS: Almost half of primary care Apple HealthKit registrants have conditions that could benefit from telemonitoring. This pre-installed telemonitoring platform, available on every new iPhone(®) (Apple), can be used to monitor a significant number of primary care patients. However, it also has continued provider and informatics barriers that need to be addressed.

Entities:  

Keywords:  home health monitoring; mobile health; technology; telemedicine

Mesh:

Substances:

Year:  2016        PMID: 27172297     DOI: 10.1089/tmj.2015.0106

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  10 in total

1.  Design and testing of Medivate, a mobile app to achieve medication list portability via Fast Healthcare Interoperability Resources.

Authors:  James C Coons; Ravi Patel; Kim C Coley; Philip E Empey
Journal:  J Am Pharm Assoc (2003)       Date:  2019-02-05

2.  Bridging the integration gap between patient-generated blood glucose data and electronic health records.

Authors:  Allison A Lewinski; Connor Drake; Ryan J Shaw; George L Jackson; Hayden B Bosworth; Megan Oakes; Sarah Gonzales; Nicole E Jelesoff; Matthew J Crowley
Journal:  J Am Med Inform Assoc       Date:  2019-07-01       Impact factor: 4.497

3.  Mobile apps for real-world evidence in health care.

Authors:  Madison Milne-Ives; Michelle Helena van Velthoven; Edward Meinert
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

4.  Opportunities and Challenges of Integrating Food Practice into Clinical Decision-Making.

Authors:  Mustafa Ozkaynak; Stephen Voida; Emily Dunn
Journal:  Appl Clin Inform       Date:  2022-02-23       Impact factor: 2.342

5.  Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice.

Authors:  Jenna Blumenthal; Andrea Wilkinson; Mark Chignell
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

6.  The Internet of Things in Health Care in Oxford: Protocol for Proof-of-Concept Projects.

Authors:  Edward Meinert; Michelle Van Velthoven; David Brindley; Abrar Alturkistani; Kimberley Foley; Sian Rees; Glenn Wells; Nick de Pennington
Journal:  JMIR Res Protoc       Date:  2018-12-04

7.  Merging heterogeneous clinical data to enable knowledge discovery.

Authors:  Martin G Seneviratne; Michael G Kahn; Tina Hernandez-Boussard
Journal:  Pac Symp Biocomput       Date:  2019

Review 8.  Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda.

Authors:  Hessah Alaslawi; Ilhem Berrou; Abdullah Al Hamid; Dari Alhuwail; Zoe Aslanpour
Journal:  JMIR Diabetes       Date:  2022-07-28

Review 9.  Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?

Authors:  Thomas Davergne; Antsa Rakotozafiarison; Hervé Servy; Laure Gossec
Journal:  Sensors (Basel)       Date:  2020-08-25       Impact factor: 3.576

10.  HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma.

Authors:  Nathan W Sweeney; Jennifer M Ahlstrom; Faith E Davies; Michael A Thompson
Journal:  JCO Clin Cancer Inform       Date:  2022-02
  10 in total

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