Literature DB >> 30672405

A mixed method observational study of strategies to promote adoption and usage of an application to support asthma self-management.

Chi Yan Hui1, Brian McKinstry2, Robert Walton3, Hilary Pinnock4.   

Abstract

BACKGROUND: Apps can potentially support asthma self-management, however attracting downloads and encouraging on-going adherence is challenging.
OBJECTIVES: We observed the impact of different recruitment strategies and app features on adoption and continued use.
METHODS: Practice nurses in five practices in Lothian/Oxford approached adults with active asthma to try out a prototype app. We also advertised the app via social media (Asthma UK; AUK Centre for Applied Research). We observed patients' download and retention rates and sent pre- and post-trial questionnaires. We sampled 15 patients for interviews before and after using our app for one month to explore motivations, triggers and barriers to adoption and usage. Interviews were transcribed and analysed thematically with reference to the Fogg behaviour model.
RESULTS: Social media attracted 87 users, but only 15 (17%) used the app for 30 days.  Practices recruited 24 patients, 13 (54%) continued for 30 days. Successful adoption was dependent on ease of downloading and sufficient motivation. Some patients needed technological assistance with downloading the app and starting to use the features.   Adherence was dependent on motivation derived from a sense that the healthcare professional and/or researcher was interested in the results, and that using an app to support their self-management could improve their asthma control.
CONCLUSION: Social media attracted more downloads in a short time. However, most patients stopped using the app within a month.  Practices recruited fewer patients, but patents adhered longer to the app.  Dual promotion strategies (social media with practice support) may be the optimal approach to encourage adoption and adherence to telehealth.

Entities:  

Keywords:  Asthma, Self-Management, Telehealth, Mobile application, Social media

Mesh:

Year:  2019        PMID: 30672405     DOI: 10.14236/jhi.v25i4.1056

Source DB:  PubMed          Journal:  J Innov Health Inform        ISSN: 2058-4555


  6 in total

1.  A Clinically Integrated mHealth App and Practice Model for Collecting Patient-Reported Outcomes between Visits for Asthma Patients: Implementation and Feasibility.

Authors:  Robert S Rudin; Christopher H Fanta; Nabeel Qureshi; Erin Duffy; Maria O Edelen; Anuj K Dalal; David W Bates
Journal:  Appl Clin Inform       Date:  2019-10-16       Impact factor: 2.342

2.  Development and Feasibility of a Mobile Asthma App for Children and Their Caregivers: Mixed Methods Study.

Authors:  Misa Iio; Miori Sato; Masami Narita; Kiwako Yamamoto-Hanada; Taku Oishi; Ai Kishino; Takahiro Kawaguchi; Rin Nishi; Mayumi Nagata; Yukihiro Ohya
Journal:  JMIR Form Res       Date:  2022-05-20

Review 3.  Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review.

Authors:  Robert Jakob; Samira Harperink; Aaron Maria Rudolf; Elgar Fleisch; Severin Haug; Jacqueline Louise Mair; Alicia Salamanca-Sanabria; Tobias Kowatsch
Journal:  J Med Internet Res       Date:  2022-05-25       Impact factor: 7.076

4.  Prospective trial on telemonitoring of geriatric cancer patients using handheld devices.

Authors:  Daniel Buergy; Victor Siefert; Christian Neumaier; Thomas Ganslandt; Elena Sperk; Manuel Blessing; Jürgen Hesser; Grit Welzel; Frederik Wenz; Frank Anton Giordano
Journal:  Strahlenther Onkol       Date:  2019-11-18       Impact factor: 3.621

5.  Use and usability of the dr. Bart app and its relation with health care utilisation and clinical outcomes in people with knee and/or hip osteoarthritis.

Authors:  Tim Pelle; Job van der Palen; Frank de Graaf; Frank H J van den Hoogen; Karen Bevers; Cornelia H M van den Ende
Journal:  BMC Health Serv Res       Date:  2021-05-10       Impact factor: 2.655

6.  Predicting asthma attacks using connected mobile devices and machine learning: the AAMOS-00 observational study protocol.

Authors:  Kevin Cheuk Him Tsang; Hilary Pinnock; Andrew M Wilson; Dario Salvi; Syed Ahmar Shah
Journal:  BMJ Open       Date:  2022-10-03       Impact factor: 3.006

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.