Mixed methods protocol for a realist evaluation of electronic personal health records design features and use to support medication adherence (ePHRma)

Abstract

BackgroundNational Health Service policy suggests that increasing usage of electronic personal health records (PHR) by patients will result in cost savings and improved public health. Medication adherence means that patients take their prescribed medication as agreed with their doctors. Some of the claimed benefits of PHRs are decreasing healthcare costs and improving medication adherence and patient outcomes.MethodsThis is a mixed methods convergent study, primarily qualitative. The qualitative and quantitative data collection and analysis will occur in parallel, and then be synthesised. We are interviewing and surveying adults with long-term conditions to identify what are the most important and useful features of their current PHR. The data collection comprises patient demographics, the Medication Adherence Questionnaire, the personality scale Big Five Inventory-2 Extra-Short Form and the WHO Quality of Life-BREF scale. Qualitative data will be analysed using the Framework method.EthicsWe have received a favourable ethical opinion from the Health Research Authority/Research Ethics Committee.

Exploring the Pathways of Diabetes Foot Complications Treatment and Investigating Experiences From Frontline Health Care Professionals: Protocol for a Mixed Methods Study

“…We intend to interview around 30-40 health care practitioners since the “gold standard” for a purposive sample is to achieve theoretical saturation. It is impossible to predict an absolute number for theoretical saturation; however, based on prior experience and published recommendations, we believe these figures are reasonable given our objectives, scope, and methodology [ 32 , 36 , 38 , 39 ].…”

Mechanisms fostering the sustainability of actualized value propositions of implemented e‐Government projects in Sub‐Saharan Africa: A realist evaluation case of Nigeria and Rwanda

“…Consequently, we adopted the Mukumbang et al (2016) RE model which is placed on a multiple case study approach, as shown in phase 2 of Figure 3, and the model permits a mixed‐method (quantitative and qualitative) approach to collecting and analyzing data (Ebenso et al, 2017; McGaughey et al, 2017). We built upon the methodological insights from prior RE mixed‐method empirical studies (Abildgaard et al, 2019; Andrikopoulou et al, 2020; Ebenso et al, 2017) and used Mukumbang et al (2016) RE model as detailed subsequently, starting with Phase 1—developing the IPT.…”

An Action Design Research to Facilitate the Adoption of Personal Health Records

“…The UTAUT states that performance expectancy, effort expectancy, facilitating conditions, and subjective norms have an impact on the intention to use a PHR (Blut et al, 2021). Researchers have enriched those models with other factors, such as e-health literacy (Noblin et al, 2012), anxiety (Cocosila & Archer, 2018), trust (Li et al, 2014), personality traits (Xu et al, 2016), privacy issues (Zhang et al, 2018), and fear appeals (Andrikopoulou et al, 2020;Rogers, 1975).…”

“…Research on PHRs varies and concerns various themes, such as design, functional, technical, and clinical evaluation, and adoption (Andrikopoulou et al, 2020;Cafazzo et al, 2012). The topic of adoption is dominant in the literature on medical informatics and information systems on PHRs (Greenhalgh et al, 2010;Studeny & Coustasse, 2014;Wiljer et al, 2008).…”