Research AppraisalSystematic Review

Logic Models on Health Information Technology: First Insights from a Cross-Disciplinary Scoping Review

Studies in health technology and informaticsAmmenwerth, Elske, Bindel, Michelle, Hörhammer, Iiris21 May 2026DOI

Clinical Snapshot

75CEBM
Evidence: ModerateSystematic Review

PICO Framework

P — PopulationHealth information technology (HIT) interventions and research studies
I — InterventionApplication of logic models or Theory of Change (ToC) frameworks
C — ComparatorNot applicable (scoping review methodology)
O — OutcomesUsage patterns, benefits, challenges, and application methods of logic models in HIT research

Bottom Line

This scoping review identifies growing interest in theory-based approaches to health information technology evaluation, with 69 studies applying logic models or Theory of Change frameworks, predominantly for patient-facing technologies like mHealth and telehealth. The findings suggest logic models provide conceptual clarity and improve stakeholder communication, though resource demands and limited generalisability remain challenges. For Australian healthcare, this evidence supports incorporating logic models into digital health program design and evaluation, particularly relevant for My Health Record optimisation and emerging digital therapeutics. The inconsistent application and limited reuse of existing models highlights the need for standardised approaches and shared repositories. While this research doesn't directly change clinical practice, it provides valuable guidance for healthcare organisations developing robust evaluation frameworks for digital health interventions, supporting more evidence-based implementation of health information technologies.

Evidence: Moderate

Key Findings

  • P Value: Not applicable for scoping review methodology

  • Effect Size: Not applicable for scoping review methodology

  • Primary Outcome: 69 studies met inclusion criteria, with majority published after 2020

  • Nnt Or Sensitivity: Descriptive synthesis: majority focused on patient-facing HIT (mHealth, telehealth), primarily for design/evaluation purposes

  • Confidence Interval: Not applicable for scoping review methodology

Clinical Application

High feasibility for adoption in Australian healthcare settings with established digital health infrastructure Highly relevant to Australian Digital Health Strategy, My Health Record implementation, and PBS-funded digital therapeutics evaluation frameworks Healthcare organisations implementing HIT systems, medical informatics researchers, digital health program managers

Abstract

BACKGROUND: Health information technology (HIT) interventions are complex, yet theory-based approaches such as logic models or Theory of Change (ToC) remain rarely applied in medical informatics, although they could clarify assumptions, link activities to outcomes, and support design and evaluation. OBJECTIVES: This scoping review examined how logic models and ToC have been used in HIT research across disciplines. METHODS: Following the PRISMA-ScR guidelines, databases were searched up to August 2025. Eligible studies explicitly applied logic models or ToC to HIT. Data were extracted on HIT type, purpose of using logic models, and reported benefits and challenges. RESULTS: Sixty-nine studies met inclusion criteria, most published after 2020. A majority of studies developed logic models for patient-facing HIT such as mHealth or telehealth. Logic models were mainly used to support HIT design or evaluation and were mostly newly developed. Reported benefits of using logic models included conceptual clarity and better stakeholder communication; challenges involved resource demands and limited generalisability. CONCLUSIONS: Logic models and ToC are increasingly used for HIT but remain inconsistently applied and seldom reused. Standardised reporting and repositories could strengthen theory-informed evaluation in medical informatics.

References

  1. 1.Ammenwerth, E., Bindel, M., & Hörhammer, I. (2026). Logic Models on Health Information Technology: First Insights from a Cross-Disciplinary Scoping Review. Studies in Health Technology and Informatics. https://doi.org/10.3233/SHTI260240
Share:XLinkedIn

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service