Related Experiment Video

Updated: Oct 15, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Development and testing of a digital health acceptability model to explain the intention to use a digital diabetes

Luke Van Rhoon¹, Jenny McSharry¹, Molly Byrne¹

¹Health Behaviour Change Research Group, School of Psychology, National University of Ireland, Galway, Ireland.

British Journal of Health Psychology

|October 31, 2021

Abstract

Objectives:

Digitally-delivered diabetes prevention programmes (DPPs) may improve population health by reversing the escalating trend of type 2 diabetes (T2D) incidence. Understanding the factors which determine digital health acceptability is critical to developing effective interventions. This study aimed to develop and test a digital health acceptability model of the factors influencing the intention of adults living in Ireland to use a digital DPP.

Design:

A 61-item cross-sectional survey was issued online or in hard copy to a sample of adults.

Methods:

Participants viewed a brochure for a smartphone-based digital DPP. The FINDRISC assessed their risk of developing T2D, and Likert scale items assessed the personal health, social influence, eHealth literacy, and intervention factors of the model. Structural equation modelling was used to assess the relationships between these factors.

Result:

Three-hundred-and-sixteen eligible participants (M_age = 36) completed the survey, 42% of which had a slightly elevated T2D risk or higher. Twelve direct factor relationships were statistically significant. Subjective norm had a moderate-to-large impact on T2D risk perceptions. Health status, perceived susceptibility to T2D, eHealth readiness, communicative eHealth literacy and image had significant impacts on use intentions through mediators of perceived ease of use and perceived usefulness. The model explained 65% of the variance in digital DPP use intentions.

Conclusion:

Personal health beliefs, social influence, and eHealth literacy collectively influence a digital DPP's acceptability. These findings may inform the development of future digital DPPs and other digital health interventions. Future research should test the model with adults that have a higher T2D risk status.

Keywords:

behaviour change diabetes prevention digital health eHealth literacy health beliefs technology acceptance type 2 diabetes

More Related Videos

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Published on: June 17, 2022

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Related Concept Videos

Models of Health Promotion and Illness Prevention I

Models of Health Promotion and Illness Prevention I

A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...

Models of Health Promotion and Illness Prevention II

Models of Health Promotion and Illness Prevention II

The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...

Concepts of Health and Illness

Concepts of Health and Illness

Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...

Diabetes Mellitus: Type 2 and Gestational

Diabetes Mellitus: Type 2 and Gestational

Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...

Levels of Health Promotion and Illness Prevention

Levels of Health Promotion and Illness Prevention

Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Articles linked to this work by shared authors, journal, and citation graph.

Healthcare professionals' perspectives on barriers and enablers to delivering chronic disease preventive care in mental health settings: a scoping review.

Health psychology review·2026

Optimizing Digital Cardiac Rehabilitation Using the Multiphase Optimization Strategy: Mixed Methods Feasibility Study.

JMIR formative research·2026

Community engagement in the creation of a novel dietary intervention for high school athletes: methods to include teen athletes and coaches in feasible ways.

Research involvement and engagement·2026

Psychometric validation of the Internalised Stigma Scale for Gestational Diabetes Mellitus (ISS-GDM): a cross-sectional study.

BMJ open·2026

A cluster randomised controlled trial, process and economic evaluation of two large-scale quality improvement interventions embedded with a national clinical audit to improve the care for young adults with type 2 diabetes (EQUIPD2): study protocol.

Implementation science : IS·2026

"You just forget about preeclampsia and move on" -awareness of chronic disease risks and follow-up preferences after preeclampsia in Ireland: a national qualitative study.

PloS one·2025

See all related articles