Exploring nurse navigators' contribution to integrated care: a qualitative study.

Aust J Prim Health

School of Public Health, The University of Queensland, 288 Herston Road, Herston, Qld 4006, Australia; and Corresponding author. Email:

Published: October 2019

This paper examines nurse navigation as a model of integrated care operating across primary and secondary healthcare settings. A two-phase qualitative study involving a focus group with seven nurse navigators (NNs) to explore their understandings and perceptions of the role, followed by in-depth interviews with three NNs to examine current practice, was undertaken in Queensland, Australia. NNs' role spanned a continuum of patient and population care, and involved engagement in clinical integration, coordinating patient care and providing education and points-of-contact for healthcare professionals. NNs also engaged in professional integration, fostering interdisciplinary collaboration, education and connections between healthcare professionals, while promoting integrated care across care settings. NNs were enabled through the establishment of relationships, trust and shared communication between stakeholders. NNs' work transcended traditional clinical boundaries, operating horizontally across silos and specialties, which allowed them to avoid (some) system shortfalls. By contributing to a culture of integration, NNs can potentially support more sustainable integrated care practices that extend relationships between healthcare professionals and beyond individual patients. Increasing our understanding of nurse navigation as a model of integrated care, this study illustrates the complexity, diversity and breadth of the role and its ability to contribute to broader, system-wide integration.

Download full-text PDF

Source
http://dx.doi.org/10.1071/PY19042DOI Listing

Publication Analysis

Top Keywords

integrated care
20
healthcare professionals
12
care
8
qualitative study
8
nurse navigation
8
navigation model
8
model integrated
8
integrated
5
nns
5
exploring nurse
4

Similar Publications

Loneliness, social isolation, and living alone: a comprehensive systematic review, meta-analysis, and meta-regression of mortality risks in older adults.

Aging Clin Exp Res

January 2025

Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.

Loneliness, social isolation, and living alone are significant risk factors for mortality, particularly in older adults. This systematic review and meta-analysis aimed to quantify their associations with all-cause and cause-specific mortality in older adults, broadening previous research by including more social factors. Comprehensive searches were conducted in PubMed, APA PsycINFO, and CINAHL until December 31, 2023, following PRISMA 2020 and MOOSE guidelines.

View Article and Find Full Text PDF

Introduction: Cesarean deliveries account for approximately one-third of all births in Germany, prompting ongoing discussions on cesarean section rates and their connection to medical staffing and birth volume. In Germany, the majority of departments integrate obstetric and gynecological care within a single department.

Methods: The analysis utilized quality reports from German hospitals spanning 2015 to 2019.

View Article and Find Full Text PDF

Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from both models)-to enhance the predictive accuracy for xylazine detection in illicit opioid samples. Three chemometric approaches-random forest, support vector machine, and -nearest neighbor algorithms-were employed and optimized using a 5-fold cross-validation grid search for all fusion strategies. Validation results identified the random forest classifier as the optimal model for all fusion strategies, achieving high sensitivity (88% for hybrid, 92% for mid-level, and 96% for high-level) and specificity (88% for hybrid, mid-level, and high-level).

View Article and Find Full Text PDF

Background: Cisgender women living with HIV (WLWH) are disproportionately impacted by cervical cancer. Nevertheless, disparities in uptake and implementation of cervical cancer services persist in sub-Saharan Africa, where population-level estimates of screening coverage remain scarce.

Methods: We pooled data from nationally representative Population-based HIV Impact Assessment (PHIA) surveys conducted in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe (2015-2019).

View Article and Find Full Text PDF

Non-destructive color sensors are widely applied for rapid analysis of various biological and healthcare point-of-care applications. However, existing red, green, blue (RGB)-based color sensor systems, relying on the conversion to human-perceptible color spaces like hue, saturation, lightness (HSL), hue, saturation, value (HSV), as well as cyan, magenta, yellow, key (CMYK) and the CIE L*a*b* (CIELAB) exhibit limitations compared to spectroscopic methods. The integration of machine learning (ML) techniques presents an opportunity to enhance data analysis and interpretation, enabling insights discovery, prediction, process automation, and decision-making.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!