Investigating the effect of an mHealth coaching intervention on health beliefs, adherence and blood pressure of patients with hypertension: A longitudinal single group pilot study

Author:

Zahed Karim1,Markert Carl1,Dunn Patrick2,Sasangohar Farzan1ORCID

Affiliation:

1. Wm Michael Barnes ‘64 Department of Industrial & Systems Engineering, Texas A&M University, USA

2. American Heart Association Center for Health Technology & Innovation, USA

Abstract

Background Mobile health technologies have shown promise as delivery platforms for digital health coaching for chronic conditions. However, the impacts of such strategies on users’ health beliefs, intentions and ultimately clinical outcomes are understudied. Objective This study sought (1) to evaluate the effects of a digital health coaching intervention on participants’ belief constructs; and (2) to assess relationships between these belief constructs and intentions to utilize the technological intervention, actual adherence metrics and clinical outcomes related to hypertension. Methods Thirty-four participants with hypertension were recruited from a university community from January to May 2021. They self-measured weight and blood pressure (BP) for 30 days followed by digital coaching delivered via a mobile application for 30 days. Surveys assessed constructs from the Health Belief Model and Technology Acceptance Model, compared to intention, health belief, BP self-monitoring adherence and BP outcomes. A path analysis model was used to assess the relationships between constructs and intention, adherence metrics and clinical outcomes. A Kruskal–Wallis test was used to identify changes in beliefs. Results Participant health beliefs significantly improved after coaching, including self-efficacy ( H(1) = 15.12, p < 0.001), cues to action ( H(1) = 5.33, p =  0.02), attitude ( H(1) = 10.35, p = 0.002), perceived usefulness ( H(1) = 15.02, p < 0.001) and decreased resistance to change ( H(1) = 4.05, p = 0.04). Adherence to BP measurements positively correlated with perceived health threat ( β = .033, p = 0.007) and perceived ease of use ( β = .0277, p < 0.001). Self-efficacy ( β = −2.92, p = 0.02) and perceived usefulness ( β = −3.75, p = 0.01) were linked with a decrease in diastolic BP. Conclusions A mobile health coaching intervention may help participants improve beliefs regarding hypertension self-management.

Funder

National Science Foundation

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

Reference38 articles.

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2. Centers for Disease Control and Prevention. The Surgeon General’s call to action to control hypertension, https://www.cdc.gov/bloodpressure/CTA.htm (2020, accessed 10 February 2022).

3. Centers for Disease Control and Prevention. High blood pressure symptoms, causes, and problems, https://www.cdc.gov/bloodpressure/about.htm (2021, accessed 20 September 2021).

4. How are habits formed: Modelling habit formation in the real world

5. What is the effect of health coaching on physical activity participation in people aged 60 years and over? A systematic review of randomised controlled trials

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