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How Behavior Change Strategies are Used to Design Digital Interventions to Improve Medication Adherence and Blood Pressure Among Patients With Hypertension: Systematic Review
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0003-2006-6229
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-3706-8581
Halmstad University, School of Health and Welfare, Centre of Research on Welfare, Health and Sport (CVHI).ORCID iD: 0000-0001-6215-2032
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-3495-2961
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2020 (English)In: Journal of Medical Internet Research, E-ISSN 1438-8871, Vol. 22, no 4, article id e17201Article in journal (Refereed) Published
Abstract [en]

Background: Information on how behavior change strategies have been used to design digital interventions (DIs) to improve blood pressure (BP) control or medication adherence (MA) for patients with hypertension is currently limited.

Objective: Hypertension is a major modifiable risk factor for cardiovascular diseases and can be controlled with appropriate medication. Many interventions that target MA to improve BP are increasingly using modern digital technologies. This systematic review was conducted to discover how DIs have been designed to improve MA and BP control among patients with hypertension in the recent 10 years. Results were mapped into a matrix of change objectives using the Intervention Mapping framework to guide future development of technologies to improve MA and BP control.

Methods: We included all the studies regarding DI development to improve MA or BP control for patients with hypertension published in PubMed from 2008 to 2018. All the DI components were mapped into a matrix of change objectives using the Intervention Mapping technique by eliciting the key determinant factors (from patient and health care team and system levels) and targeted patient behaviors.

Results: The analysis included 54 eligible studies. The determinants were considered at two levels: patient and health care team and system. The most commonly described determinants at the patient level were lack of education, lack of self-awareness, lack of self-efficacy, and forgetfulness. Clinical inertia and an inadequate health workforce were the most commonly targeted determinants at the health care team and system level. Taking medication, interactive patient-provider communication, self-measurement, and lifestyle management were the most cited patient behaviors at both levels. Most of the DIs did not include support from peers or family members, despite its reported effectiveness and the rate of social media penetration.

Conclusions: This review highlights the need to design a multifaceted DI that can be personalized according to patient behavior(s) that need to be changed to overcome the key determinant(s) of low adherence to medication or uncontrolled BP among patients with hypertension, considering different levels including patient and healthcare team and system involvement. © Kobra Etminani, Arianna Tao Engström, Carina Göransson, Anita Sant’Anna, Sławomir Nowaczyk.

Place, publisher, year, edition, pages
Toronto: J M I R Publications, Inc. , 2020. Vol. 22, no 4, article id e17201
Keywords [en]
digital intervention, hypertension, medication adherence, behavior change, intervention mapping, matrix of change objective
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URN: urn:nbn:se:hh:diva-43681DOI: 10.2196/17201ISI: 000525072400001PubMedID: 32271148Scopus ID: 2-s2.0-85083538249OAI: oai:DiVA.org:hh-43681DiVA, id: diva2:1507835
Available from: 2020-12-08 Created: 2020-12-08 Last updated: 2024-01-17Bibliographically approved

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Etminani, KobraGöransson, CarinaSant'Anna, AnitaNowaczyk, Sławomir

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