Understanding the practice patterns of nephrology nurse practitioners in Australia.

BACKGROUND: Nurse practitioners (NP) have an expanded scope of practice beyond that of a registered nurse. In kidney care, nephrology NP can manage patients at various points along the chronic kidney disease (CKD) trajectory. OBJECTIVES: To profile the characteristics, service patterns, and domains of practice of nephrology NP in Australia. DESIGN: A cross-sectional online secure survey. PARTICIPANTS: Nephrology NP (NP students) who were members of the Renal Society of Australasia and working in Australia (n = 73). MEASUREMENTS: Data collected were demographic and practice characteristics, and domains of practice (using the modified Strong Model of Advanced Practice). The survey also sought qualitative perspectives of the enablers and barriers to sustainability nurse practitioner healthcare delivery services. RESULTS: Nephrology NP (n = 45) primarily worked in adult services, managing those receiving haemodialysis, peritoneal dialysis, or patients with earlier grades of CKD. Providing direct comprehensive care was the dominant domain of advanced practice although administrative activities took up considerable time each week. Support from nurse leaders and medical colleagues was identified as key enablers for sustainability of these services whereas succession planning, and workload were the main barriers. CONCLUSIONS: This study found a highly qualified, experienced but older nephrology nurse practitioner workforce who provide an additional model of health service delivery which can meet the growing CKD burden. Internationally, this level of nurse provides an opportunity for a career pathway to maintain nurses in direct clinical roles and to expand the nephrology nursing workforce.

Evaluating the prevalence and opportunity for technology use in chronic kidney disease patients: a cross-sectional study.

BACKGROUND: Chronic kidney disease (CKD) is increasing worldwide and early education to improve adherence to self-management is a key strategy to slow CKD progression. The use of the internet and mobile phone technologies (mHealth) to support patients is considered an effective tool in many other chronic disease populations. While a number of mHealth platforms for CKD exist, few studies have investigated if and how this population use technology to engage in self-management. METHODS: Using a cross-sectional design across five health districts in Queensland (Australia), a 38-item self-report survey was distributed to adults with CKD attending outpatient clinics or dialysis units to measure current use and type of engagement with mHealth, perceived barriers to use, and opportunities to support CKD self-management. Odds ratio (OR) were calculated to identify associations between demographic characteristic and mHealth use. RESULTS: Of the 708 participants surveyed, the majority had computer access (89.2%) and owned a mobile phone (83.5%). The most likely users of the internet were those aged ≤ 60 years (OR: 7.35, 95% confidence interval [CI]: 4.25-12.75, p < 0.001), employed (OR: 7.67, 95% CI: 2.58-22.78, p < 0.001), from non-indigenous background (OR: 6.98, 95% CI: 3.50-13.93, p < 0.001), or having completed higher levels of education (OR: 3.69, CI: 2.38-5.73, p < 0.001). Those using a mobile phone for complex communication were also younger (OR: 6.01, 95% CI: 3.55-10.19, p < 0.001), more educated (OR: 1.99, 95% CI: 1.29-3.18, p < 0.01), or from non-indigenous background (OR: 3.22, 95% CI: 1.58-6.55, p < 0.001). Overall, less than 25% were aware of websites to obtain information about renal healthcare. The mHealth technologies most preferred for communication with their renal healthcare teams were by telephone (56.5%), internet (50%), email (48.3%) and text messages (46%). CONCLUSION: In the CKD cohort, younger patients are more likely than older patients to use mHealth intensively and interactively although all patients' technology literacy ought to be thoroughly assessed by renal teams before implementing in practice. Further research testing mHealth interventions to improve self-management in a range of patient cohorts is warranted.