Achieving a national sample of nursing homes: Balancing probability techniques and practicalities

Sampling design is critical to the quality of quantitative research, yet it does not always receive appropriate attention in nursing research. The current article details how balancing probability techniques with practical considerations produced a representative sample of Australian nursing homes (NHs). Budgetary, logistical, and statistical constraints were managed by excluding some NHs (e.g., those too difficult to access) from the sampling frame; a stratified, random sampling methodology yielded a final sample of 53 NHs from a population of 2,774. In testing the adequacy of representation of the study population, chi-square tests for goodness of fit generated nonsignificant results for distribution by distance from major city and type of organization. A significant result for state/territory was expected and was easily corrected for by the application of weights. The current article provides recommendations for conducting high-quality, probability-based samples and stresses the importance of testing the representativeness of achieved samples.

Identifying advanced practice: A national survey of a nursing workforce

Background The size and flexibility of the nursing workforce has positioned nursing as central to the goals of health service improvement. Nursing's response to meeting these goals has resulted in proliferation of advanced practice nursing with a confusing array of practice profiles, titles and roles. Whilst numerous models and definitions of advanced practice nursing have been developed there is scant published research of significant scope that supports these models. Consequently there is an ongoing call in the literature for clarity and stability in nomenclature, and confusion in the health industry on how to optimise the utility of advanced practice nursing. Objectives To identify and delineate advanced practice from other levels of nursing practice through examination of a national nursing workforce. Design A cross-sectional electronic survey of nurses using the validated Advanced Practice Role Delineation tool based on the Strong Model of Advanced Practice. Participants Study participants were registered nurses employed in a clinical service environment across all states and territories of Australia. Methods A sample of 5662 registered nurses participated in the study. Domain means for each participant were calculated then means for nursing position titles were calculated. Position titles were grouped by delineation and were compared with one-way analysis of variance on domain means. The alpha for all tests was set at 0.05. Significant effects were examined with Scheffe post hoc comparisons to control for Type 1 error. Results The survey tool was able to identify position titles where nurses were practicing at an advanced level and to delineate this cohort from other levels of nursing practice, including nurse practitioner. The results show that nurses who practice at an advanced level are characterised by high mean scores across all Domains of the Strong Model of Advanced Practice. The mean scores of advanced practice nurses were significantly different from nurse practitioners in the Direct Care Domain and significantly different from other levels of nurse across all domains. Conclusions The study results show that the nurse practitioner, advanced practice nurse and foundation level registered nurse have different patterns of practice and the Advanced Practice Role Delineation tool has the capacity to clearly delineate and define advanced practice nursing. These findings make a significant contribution to the international debate and show that the profession can now identify what is and what is not advanced practice in nursing.

Factors influencing sustainability of health service innovation, emergency nurse practitioner service

Escalating health care delivery costs and consumer expectations have led to a range of health service and workforce innovations in the provision of high quality cost effective patient care. This research has operationalised a theoretical framework to examine factors that influence sustainability of health service innovations, in particular, emergency nurse practitioner service. The results of this research will inform health service policy and practice for future implementation of innovative workforce models and add to the understanding of factors that influence sustainability.

See you in class: Promoting a quality program for pre-service educators in regional locations through a virtual classroom

The quality of an online university degree is paramount to the student, the reputation of the university and most importantly, the profession that will be entered. At the School of Education within Curtin University, we aim to ensure that students within rural and remote areas are provided with high quality degrees equal to their city counterparts who access face-to-face classes on campus.In 2010, the School of Education moved to flexible delivery of a fully online Bachelor of Education degree for their rural students. In previous years, the degree had been delivered in physical locations around the state. Although this served the purpose for the time, it restricted the degree to only those rural students who were able to access the physical campus. The new model in 2010 allows access for students in any rural area who have a computer and an internet connection, regardless of their geographical location. As a result enrolments have seen a positive increase in new students. Academic staff had previously used an asynchronous environment to deliver learning modules housed within a learning management system (LMS). To enhance the learning environment and to provide high quality learning experiences to students learning at a distance, the adoption of synchronous software was introduced. This software is a real-time virtual classroom environment that allows for communication through Voice over Internet Protocol (VoIP) and videoconferencing, along with a large number of collaboration tools to engage learners. This research paper reports on the professional development of academic staff to integrate a live e-learning solution into their current LMS environment. It involved professional development, including technical orientation for teaching staff and course participants simultaneously. Further, pedagogical innovations were offered to engage the students in a collaborative learning environment. Data were collected from academic staff through semi-structured interviews and participant observation. The findings discuss the perceived value of the technology, problems encountered and solutions sought.

IMPOSE (IMProving Outcomes after Sepsis)—the effect of a multidisciplinary follow-up service on health-related quality of life in patients postsepsis syndromes—a double-blinded randomised controlled trial: protocol

Introduction Patients post sepsis syndromes have a poor quality of life and a high rate of recurring illness or mortality. Follow-up clinics have been instituted for patients postgeneral intensive care but evidence is sparse, and there has been no clinic specifically for survivors of sepsis. The aim of this trial is to investigate if targeted screening and appropriate intervention to these patients can result in an improved quality of life (Short Form 36 health survey (SF36V.2)), decreased mortality in the first 12 months, decreased readmission to hospital and/or decreased use of health resources. Methods and analysis 204 patients postsepsis syndromes will be randomised to one of the two groups. The intervention group will attend an outpatient clinic two monthly for 6 months and receive screening and targeted intervention. The usual care group will remain under the care of their physician. To analyse the results, a baseline comparison will be carried out between each group. Generalised estimating equations will compare the SF36 domain scores between groups and across time points. Mortality will be compared between groups using a Cox proportional hazards (time until death) analysis. Time to first readmission will be compared between groups by a survival analysis. Healthcare costs will be compared between groups using a generalised linear model. Economic (health resource) evaluation will be a within-trial incremental cost utility analysis with a societal perspective. Ethics and dissemination Ethical approval has been granted by the Royal Brisbane and Women’s Hospital Human Research Ethics Committee (HREC; HREC/13/QRBW/17), The University of Queensland HREC (2013000543), Griffith University (RHS/08/14/HREC) and the Australian Government Department of Health (26/2013). The results of this study will be submitted to peer-reviewed intensive care journals and presented at national and international intensive care and/or rehabilitation conferences.

Toward Self-Organising Service Communities

This paper discusses a framework in which catalog service communities are built, linked for interaction, and constantly monitored and adapted over time. A catalog service community (represented as a peer node in a peer-to-peer network) in our system can be viewed as domain specific data integration mediators representing the domain knowledge and the registry information. The query routing among communities is performed to identify a set of data sources that are relevant to answering a given query. The system monitors the interactions between the communities to discover patterns that may lead to restructuring of the network (e.g., irrelevant peers removed, new relationships created, etc.).