Back

From Theory to Practice: A Scoping Review of Theory-Based Educational Approaches in Hemodialysis Care

Fatmawati, A.; Pandin, M. G. R.; Prastya, A.; Ariyanti, F. W.

2025-09-12 nursing
10.1101/2025.09.11.25335569 medRxiv
Show abstract

BackgroundPatients on hemodialysis face complex challenges in treatment adherence, self-care, and quality of life. Patient education is central to overcoming these challenges, yet many interventions are implemented without a theoretical foundation, potentially limiting their effectiveness. Examining theory-based approaches may provide valuable insights for designing more impactful educational strategies. ObjectiveThis scoping review aimed to map theoretical frameworks underpinning patient education interventions in hemodialysis care and to explore their reported outcomes. MethodsFollowing the Arksey and OMalley framework and reported according to PRISMA-ScR, a systematic search was conducted in PubMed, Scopus, CINAHL, and Web of Science for studies published between 2020 and 2025. Eligible studies included educational interventions for adult hemodialysis patients that explicitly applied a theoretical or conceptual framework. Data were extracted on study design, population, educational approach, theoretical framework, and outcomes. ResultsA limited but growing body of research incorporated theory-based educational approaches in hemodialysis care. Frequently applied frameworks included the Health Belief Model, Self-Determination Theory, 5A Self-Management Model, and the Temporal Self-Regulation Theory (TST). Interventions grounded in theory demonstrated improvements in treatment adherence, self-care behaviors, self-efficacy, and quality of life. However, heterogeneity in theoretical application and inconsistent reporting were noted across studies. ConclusionTheory-based educational interventions show promising benefits for hemodialysis patients, particularly in supporting adherence and self-management. Nonetheless, the limited number of studies highlights the need for more robust, theory-driven research to guide best practices in patient education and optimize patient outcomes.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.