Registered Nurse‐Led Interdisciplinary Care: A Single Case Study of a Young Woman With Intellectual Disability and Chronic and Complex Health Problems
Year: 2025
Type: article
Abstract: AIM: To describe how specialised models of registered nurse-led care and support can play a vital role in the health and quality of life of someone with intellectual disability and multiple chronic and complex health problems. DESIGN: Single instrumental case study. METHODS: Data collection occurred between March and August 2023, and included interviews with parents, historical case files, descriptions of the nurse-led model of care and a list of the daily registered nurse-led interventions. RESULTS: The evidence presented strongly support the positive impact a nurse-led model of care can have for persons with profound disability and complex health conditions, and their families. The improved quality of life observed in this project underscores the significant role nurses play in enhancing the well-being of this vulnerable population. CONCLUSION: Further research on a larger scale should be completed to create a robust foundation of a specialised, nurse-led model of care for individuals with profound disability and complex health conditions. IMPLICATIONS: There is room for funded intermediate models of care as the health system cannot be expected, and nor is it appropriate, to provide ongoing care for all people with intellectual disability. REPORTING METHOD: This study adhered to the COREQ guidelines for qualitative research. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
Source: Journal of Clinical Nursing
DOI: 10.1111/jocn.17685
Authors: Nathan J. Wilson, Peter Lewis, Cheryll Apostol, Natalie Duckworth, Macey Barratt
Institutions: Western Sydney University, University of Canberra
Language: English
Topic: Nursing Roles and Practices
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,450
Funder: Western Sydney University
OpenAlex ID: W4407295906
