Introduction Digital health interventions (DHIs) are changing the healthcare landscape. However, using these tools effectively for people with chronic conditions in rural areas comes with challenges, highlighting the need to understand their lived experiences. No systematic review was found that examines the inclusion of lived experience in DHI for individuals with chronic conditions in rural areas and how this impacts their acceptance of technology. A systematic review grounded by Technology Acceptance Model (TAM) will be conducted to examine the lived experiences of individuals in rural areas who use DHIs. Individuals with chronic conditions will be examined specifically and how their experiences influence the adoption, use and satisfaction with DHI for managing their health needs. This systematic literature review is significant because it will be used as a crucial starting point for a larger project aimed at creating digitally transformed primary healthcare in rural areas, particularly for Indigenous communities. The insights gained will inform the development of a digital transformation model for the larger project. Methods and analysis Guided by the TAM and PRISMA to explore the lived experiences of patients and caregivers with digital health, a search will be conducted for peer-reviewed studies on DHIs, including qualitative, quantitative and mixed-method approaches, including systematic reviews. The studies must be published in English from 2019 to the present and will be sourced from databases such as PubMed, EBSCO, Cochrane Library, Scopus and Web of Science. MeSH will be utilised to identify terms like user experience, acceptability and engagement with DHIs. Eligibility will be based on relevance, population, intervention and outcomes. A standardised data extraction form will be developed and tested to capture important information from each study included in the review. Data extraction and quality appraisal will be performed independently by two reviewers, with a third reviewer addressing any discrepancies. Software will be used to manage extracted data, assess risk of bias and synthesise the data. Meta-analysis will be included to enhance our findings if sufficient quantitative data is available. Our findings will be reported in accordance with the PRISMA guidelines. This review protocol was refined in June 2025; commencement of the study will be in July 2025 and will be completed in 2026. Ethics and dissemination This study used previously published literature and did not collect primary data from humans or animals. No ethical committee approval was required. Findings will be disseminated through peer-reviewed publication and will be presented at conferences related to the field. Trial registration osf.io/jw5yp.
Aranas et al. (Mon,) studied this question.