Gordon’s Functional Health Patterns and Their Association with Patient and Organizational Outcomes: A Scoping Review

Background/Objectives: Nursing assessment frameworks play a critical role in guiding holistic patient evaluations, standardizing documentation, and supporting organizational quality and safety initiatives. Among these, Gordon’s Functional Health Patterns (FHPs) offer a comprehensive and widely used framework for nursing assessment. However, no review has synthesized evidence on their association with outcomes. This scoping review aimed to map evidence on the use of FHPs in relation to patient and organizational outcomes, and to examine their integration into electronic health records (EHRs) and the analytical methods employed. Method: A scoping review was conducted following Joanna Briggs Institute methodology and PRISMA-ScR guidelines. PubMed, CINAHL, and Scopus were searched for quantitative primary studies reporting associations between FHPs and outcomes, and the final search was conducted on 22 March 2024. Three reviewers independently screened abstracts and full texts and extracted data. Results: Seven studies met the inclusion criteria. FHPs’ use was associated with improvements in several patient outcomes, including quality of life, psychological well-being, clinical parameters, self-management, dependency level, and functional performance. Organizational outcomes included reduced hospital readmission rates and a positive association between FHP-derived nursing diagnoses and nursing workload. Most studies used standardized nursing terminologies such as NANDA-I, NOC, or NIC, in conjunction with FHPs. Over half of the studies used EHR-based nursing documentation, reflecting increasing digital integration and enabling more structured and interoperable nursing data. Methodological approaches varied widely: most studies used associative analyses, two employed experimental designs, and one investigated the predictive utility of FHP-based assessment data. Conclusions: FHPs provide a structured framework for nursing practice with potential benefits for patient and organizational outcomes. Their increasing integration into EHRs supports standardized documentation and data-driven nursing practice, enhancing assessment quality, diagnostic accuracy, and the availability of structured data for clinical and managerial decision-making in health information systems. Further experimental and longitudinal research is needed to strengthen causal evidence and guide implementation.