Professional Nursing Governance in a large Australian health service

2012 ◽  
pp. 3259-3280
Author(s):  
Paul N Bennett ◽  
Cherene Ockerby ◽  
Jo Begbie ◽  
Cheyne Chalmers ◽  
Robert G Hess ◽  
...  
Keyword(s):  
Health Service ◽  
Australian Health ◽  
Professional Nursing

Professional nursing governance in a large Australian health service

2012 ◽  
Vol 43 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Paul N. Bennett ◽  
Cherene Ockerby ◽  
Jo Begbie ◽  
Cheyne Chalmers ◽  
Robert G Hess Jr ◽  
...  
Keyword(s):  
Health Service ◽  
Australian Health ◽  
Professional Nursing

scholarly journals Factors associated with unplanned readmissions in a major Australian health service

2019 ◽  
Vol 43 (1) ◽  
pp. 1 ◽  
Author(s):  
Julie Considine ◽  
Karen Fox ◽  
David Plunkett ◽  
Melissa Mecner ◽  
Mary O'Reilly ◽  
...  
Keyword(s):  
Health Service ◽  
Hospital Admission ◽  
Acute Care ◽  
Index Admission ◽  
Unplanned Readmission ◽  
Factors Associated ◽  
Australian Health ◽  
Increased Risk ◽  
Patient Groups ◽  
Comorbidity Index

Objective The aim of the present study was to gain an understanding of the factors associated with unplanned hospital readmission within 28 days of acute care discharge from a major Australian health service. Methods A retrospective study of 20575 acute care discharges from 1 August to 31 December 2015 was conducted using administrative databases. Patient, index admission and readmission characteristics were evaluated for their association with unplanned readmission in ≤28 days. Results The unplanned readmission rate was 7.4% (n=1528) and 11.1% of readmitted patients were returned within 1 day. The factors associated with increased risk of unplanned readmission in ≤28 days for all patients were age ≥65 years (odds ratio (OR) 1.3), emergency index admission (OR 1.6), Charlson comorbidity index >1 (OR 1.1–1.9), the presence of chronic disease (OR 1.4) or complications (OR 1.8) during the index admission, index admission length of stay (LOS) >2 days (OR 1.4–1.8), hospital admission(s) (OR 1.7–10.86) or emergency department (ED) attendance(s) (OR 1.8–5.2) in the 6 months preceding the index admission and health service site (OR 1.2–1.6). However, the factors associated with increased risk of unplanned readmission ≤28 days changed with each patient group (adult medical, adult surgical, obstetric and paediatric). Conclusions There were specific patient and index admission characteristics associated with increased risk of unplanned readmission in ≤28 days; however, these characteristics varied between patient groups, highlighting the need for tailored interventions. What is known about the topic? Unplanned hospital readmissions within 28 days of hospital discharge are considered an indicator of quality and safety of health care. What does this paper add? The factors associated with increased risk of unplanned readmission in ≤28 days varied between patient groups, so a ‘one size fits all approach’ to reducing unplanned readmissions may not be effective. Older adult medical patients had the highest rate of unplanned readmissions and those with Charlson comorbidity index ≥4, an index admission LOS >2 days, left against advice and hospital admission(s) or ED attendance(s) in the 6 months preceding index admission and discharge from larger sites within the health service were at highest risk of unplanned readmission. What are the implications for practitioners? One in seven discharges resulted in an unplanned readmission in ≤28 days and one in 10 unplanned readmissions occurred within 1 day of discharge. Although some patient and hospital characteristics were associated with increased risk of unplanned readmission in ≤28 days, statistical modelling shows there are other factors affecting the risk of readmission that remain unknown and need further investigation. Future work related to preventing unplanned readmissions in ≤28 days should consider inclusion of health professional, system and social factors in risk assessments.

A health management competency framework for Australia

2020 ◽  
Vol 44 (6) ◽  
pp. 958
Author(s):  
Zhanming Liang ◽  
Felicity Blackstock ◽  
Peter Howard ◽  
Geoffrey Leggat ◽  
Alison Hughes ◽  
...  
Keyword(s):  
Health Service ◽  
Health Services ◽  
Middle Level ◽  
Competency Framework ◽  
Competency Assessment ◽  
Australian Health ◽  
Assessment Program ◽  
Service Managers ◽  
And Training ◽  
Management Competency

ObjectiveThis study examined whether the management competency framework for health service managers developed in the Victorian healthcare context is applicable to managers in other Australian states. MethodsAn online questionnaire survey of senior and middle-level health service managers in both community health services and hospitals was conducted in New South Wales and Queensland. ResultsThe study confirmed that the essential tasks for senior and middle-level managers are consistent across health and social care sectors, as well as states. Core competencies for health services managers identified in the Victorian healthcare context are relevant to other Australian states. In addition, two additional competencies were incorporated into the framework. ConclusionThe Management Competency Assessment Program competency framework summarises six competencies and associated behaviours that may be useful for guiding performance management and the education and training development of health service managers in Australia. What is known about the topic?The evidence suggests that competency-based approaches can enhance performance and talent management, and inform education and training needs, yet there has been no validated competency framework for Australian health service managers. What does the paper add?This paper explains the process of the finalisation of the first management competency framework for guiding the identification of the training and development needs of Australian health service managers and the management of their performance. What are the implications for practice?The Management Competency Assessment Program competency framework can guide the development of the health service management workforce in three Australian states, and may be applicable to other jurisdictions. Further studies are required in the remaining jurisdictions to improve the external validity of the framework.

scholarly journals Insights from linking routinely collected data across Australian health jurisdictions: a case study of end-of-life health service use

2018 ◽  
Vol 28 (1) ◽  
Author(s):  
Julia Langton ◽  
David Goldsbury ◽  
Preeyaporn Srasuebkul ◽  
Jane Ingham ◽  
Dianne O’Connell ◽  
...  
Keyword(s):  
Health Service ◽  
End Of Life ◽  
Service Use ◽  
Health Service Use ◽  
Australian Health ◽  
Routinely Collected Data

Options to enhance the veracity of Australian health service accreditation assessments

2020 ◽  
pp. 183335832091089
Author(s):  
Reece Hinchcliff ◽  
Deborah Debono ◽  
David Carter ◽  
Miriam Glennie ◽  
Hamish Robertson ◽  
...  
Keyword(s):  
Health Service ◽  
Grey Literature ◽  
Assessment Methods ◽  
Assessment Practice ◽  
Patient Journey ◽  
Stakeholder Consultation ◽  
Australian Health ◽  
Short Notice ◽  
Tracer Methods ◽  
Subsequent Introduction

Background: Assessment processes applied within some health service accreditation programs have been criticised at times for being inaccurate, inconsistent or inefficient. Such criticism has inspired the development of innovative assessment methods. Objective: The Australian Commission on Safety and Quality in Health Care considered the use of three such methods: short-notice or unannounced methods; patient journey or tracer methods; and attestation by governing bodies. Method: A systematic search and synthesis of published peer-reviewed and grey literature associated with these methods. Results and Conclusion: The published literature demonstrates that the likely benefits of these three assessment methods warrant further evaluation, real-world trials and stakeholder consultation to determine the most appropriate models to introduce into national accreditation programs. Implications: The subsequent introduction of models of short-notice assessments and attestation by governing bodies into the Australian Health Service Safety and Quality Accreditation Scheme in January 2019 demonstrates how the findings presented in this article influenced the national change in assessment practice, providing an example of evidence-informed accreditation development.

Outcomes of severely injured adult trauma patients in an Australian health service. Does trauma centre level make a difference?

2011 ◽  
Vol 14 ◽  
pp. S6
Author(s):  
Kate Curtis ◽  
Shanley Chong ◽  
Rebecca Mitchell ◽  
Mark Newcombe ◽  
Deborah Black ◽  
...  
Keyword(s):  
Health Service ◽  
Trauma Centre ◽  
Trauma Patients ◽  
Severely Injured ◽  
Australian Health

New activity-based funding model for Australian private sector overnight rehabilitation cases: the rehabilitation Australian National Sub-Acute and Non-Acute Patient (AN-SNAP) model

2015 ◽  
Vol 39 (4) ◽  
pp. 365
Author(s):  
Brian Hanning ◽  
Nicolle Predl
Keyword(s):  
Health Service ◽  
Private Sector ◽  
Classification System ◽  
Processing System ◽  
Relative Cost ◽  
Payment Model ◽  
Australian Health ◽  
Funding Model ◽  
Acute Patient ◽  
Payment Models

Traditional overnight rehabilitation payment models in the private sector are not based on a rigorous classification system and vary greatly between contracts with no consideration of patient complexity. The payment rates are not based on relative cost and the length-of-stay (LOS) point at which a reduced rate applies (step downs) varies markedly. The rehabilitation Australian National Sub-Acute and Non-Acute Patient (AN-SNAP) model (RAM), which has been in place for over 2 years in some private hospitals, bases payment on a rigorous classification system, relative cost and industry LOS. RAM is in the process of being rolled out more widely. This paper compares and contrasts RAM with traditional overnight rehabilitation payment models. It considers the advantages of RAM for hospitals and Australian Health Service Alliance. It also considers payment model changes in the context of maintaining industry consistency with Electronic Claims Lodgement and Information Processing System Environment (ECLIPSE) and health reform generally. What is known about this topic? The Australian Health Service Alliance is unaware of any recent studies comparing and contrasting current Australian private sector rehabilitation models with AN-SNAP-based models. What does this paper add? This paper outlines the advantages of an AN-SNAP payment model with regard to paying for services in relation to relative cost and avoiding perverse incentives in relation to rehabilitation patient admission and LOS. What are the implications for practitioners? Basing private sector rehabilitation payment models on AN-SNAP can address deficiencies of traditional payment models.

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