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1.
Hum Resour Health ; 22(1): 25, 2024 Apr 17.
Article in English | MEDLINE | ID: mdl-38632567

ABSTRACT

BACKGROUND: Health workforce projection models are integral components of a robust healthcare system. This research aims to review recent advancements in methodology and approaches for health workforce projection models and proposes a set of good practice reporting guidelines. METHODS: We conducted a systematic review by searching medical and social science databases, including PubMed, EMBASE, Scopus, and EconLit, covering the period from 2010 to 2023. The inclusion criteria encompassed studies projecting the demand for and supply of the health workforce. PROSPERO registration: CRD 42023407858. RESULTS: Our review identified 40 relevant studies, including 39 single countries analysis (in Australia, Canada, Germany, Ghana, Guinea, Ireland, Jamaica, Japan, Kazakhstan, Korea, Lesotho, Malawi, New Zealand, Portugal, Saudi Arabia, Serbia, Singapore, Spain, Thailand, UK, United States), and one multiple country analysis (in 32 OECD countries). Recent studies have increasingly embraced a complex systems approach in health workforce modelling, incorporating demand, supply, and demand-supply gap analyses. The review identified at least eight distinct types of health workforce projection models commonly used in recent literature: population-to-provider ratio models (n = 7), utilization models (n = 10), needs-based models (n = 25), skill-mixed models (n = 5), stock-and-flow models (n = 40), agent-based simulation models (n = 3), system dynamic models (n = 7), and budgetary models (n = 5). Each model has unique assumptions, strengths, and limitations, with practitioners often combining these models. Furthermore, we found seven statistical approaches used in health workforce projection models: arithmetic calculation, optimization, time-series analysis, econometrics regression modelling, microsimulation, cohort-based simulation, and feedback causal loop analysis. Workforce projection often relies on imperfect data with limited granularity at the local level. Existing studies lack standardization in reporting their methods. In response, we propose a good practice reporting guideline for health workforce projection models designed to accommodate various model types, emerging methodologies, and increased utilization of advanced statistical techniques to address uncertainties and data requirements. CONCLUSIONS: This study underscores the significance of dynamic, multi-professional, team-based, refined demand, supply, and budget impact analyses supported by robust health workforce data intelligence. The suggested best-practice reporting guidelines aim to assist researchers who publish health workforce studies in peer-reviewed journals. Nevertheless, it is expected that these reporting standards will prove valuable for analysts when designing their own analysis, encouraging a more comprehensive and transparent approach to health workforce projection modelling.


Subject(s)
Delivery of Health Care , Health Workforce , Humans , United States , Workforce , Forecasting , Canada
2.
Aust Health Rev ; 46(3): 256-257, 2022 06.
Article in English | MEDLINE | ID: mdl-35653275
3.
Aust Health Rev ; 45(1): 74-76, 2021 Feb.
Article in English | MEDLINE | ID: mdl-33517976

ABSTRACT

The global focus on nation states' responses to the COVID-19 pandemic has rightly highlighted the importance of science and evidence as the basis for policy action. Those with a lifelong passion for evidence-based policy (EBP) have lauded Australia's and other nations' policy responses to COVID-19 as a breakthrough moment for the cause. This article reflects on the complexity of the public policy process, the perspectives of its various actors, and draws on Alford's work on the Blue, Red and Purple zones to propose a more nuanced approach to advocacy for EBP in health. We contend that the pathway for translation of research evidence into routine clinical practice is relatively linear, in contrast to the more complex course for translation of evidence to public policy - much to the frustration of health researchers and EBP advocates. Cairney's description of the characteristics of successful policy entrepreneurs offers useful guidance to advance EBP and we conclude with proposing some practical mechanisms to support it. Finally, we recommend that researchers and policy makers spend more time in the Purple zone to enable a deeper understanding of, and mutual respect for, the unique contributions made by research, policy and political actors to sound public policy.


Subject(s)
COVID-19/therapy , Evidence-Based Practice/standards , Guidelines as Topic , Health Policy , Pandemics/prevention & control , Public Health/legislation & jurisprudence , Public Health/standards , Australia/epidemiology , COVID-19/epidemiology , Humans , SARS-CoV-2
4.
Aust Fam Physician ; 41(10): 748; author reply 748, 2012 Oct.
Article in English | MEDLINE | ID: mdl-23342370
5.
Aust Health Rev ; 34(2): 170-9, 2010 May.
Article in English | MEDLINE | ID: mdl-20497729

ABSTRACT

The extraordinary (unplanned) review of clinical privileges is the means by which an organisation can manage specific complaints about individual practitioners' clinical competence that require immediate investigation. To date, the extraordinary review of clinical privileges for doctors and dentists has not been the subject of much research and there is a pressing need for the evaluation and review of how different legislated and non-legislated administrative processes work and what they achieve. Although it seems a fair proposition that comprehensive processes for the evaluation of the clinical competence of doctors and dentists may improve the overall delivery of an organisation's clinical services, in fact, little is known about the relationship between the safety and quality of specific clinical services, procedures and interventions and the efficiency or effectiveness of established methodologies for the routine or the extraordinary review of clinical privileges. The authors present a model of a structured approach to the extraordinary review of clinical privileges within a clinical governance framework in the Australian Capital Territory. The assessment framework uses a primarily qualitative methodology, underpinned by a process of systematic review of clinical competence against the agreed standards of the CanMEDS Physician Competency Framework. The model is a practical, working framework that could be implemented on a hospital-, area health service- or state- and territory-wide basis in any other Australian jurisdiction.


Subject(s)
Clinical Competence/standards , Dentistry , Medical Staff Privileges , Models, Theoretical , Peer Review , Physicians , Australian Capital Territory , Humans
6.
Aust Health Rev ; 25(2): 38-51, 2002.
Article in English | MEDLINE | ID: mdl-12046153

ABSTRACT

Since its election to office in 1996, reform of Private Health Insurance (PHI) has been the most obvious health policy focus of the Howard Government. The reform process has focussed on price, product, promotion, legislation and regulation. It has resulted in one of the largest new Commonwealth health outlays in recent memory. Health insurance funds have emerged as active purchasers of care, not just passive reimbursers of costs. PHI fund reserves have moved from precarious liquidity to healthy surplus. Private hospitals are busier than ever before, but margins are slim. Anecdotally, public hospitals report little benefit to date. Waiting lists have not been reduced, and their budgets are unchanged as a result of the $2 Bn allocated under the 30% Rebate scheme. The paper begins by describing the origins of the PHI reform. Its objectives, policy initiatives, results to date and criticisms are analysed. Criticisms include the actual and opportunity costs. Specific concerns remain as to its effectiveness to date in reducing pressure on public hospitals, and perceived lack of equity for certain client groups. The most significant result is that much of the reform package is here to stay including the expensive and much criticised 30% rebate. Like Medicare before it, the PHI reforms have achieved bipartisan support. The paper concludes by describing future implications for Government, industry, consumers and the medical profession.


Subject(s)
Health Care Reform , Insurance, Health/economics , National Health Programs/economics , Privatization/economics , Australia , Health Policy , Hospitals, Private/economics , Hospitals, Private/statistics & numerical data , Hospitals, Public/economics , Hospitals, Public/statistics & numerical data , Insurance Coverage/statistics & numerical data , Insurance Coverage/trends
7.
Aust Health Rev ; 25(6): 27-32, 2002.
Article in English | MEDLINE | ID: mdl-12536859

ABSTRACT

This paper presents a public hospital and health care industry perspective on the development of the 2003-2008 Australian Health Care Agreements. The Australian Healthcare Association conducted a national industry consultation exercise from June to September 2002 in the lead up to the development of the next round of agreements. While acknowledging that the size of the funding commitment from the Commonwealth to the states will be the central focus of negotiations, health industry representatives identified issues of equal importance. The AHCA's linkages with other health programs need to reflect that health care has moved beyond the confines of the hospitals. Adjustments and output targets need to provide incentives to improve and reform the industry. The success of private health insurance policy has not yet translated into benefits for the public hospital sector, and any funding contingencies between the two programs cannot be justified at this time. Special priority areas such as health workforce will need specific policy and program responses.


Subject(s)
Health Care Reform , Health Care Sector , Insurance, Health , National Health Programs/organization & administration , Aged , Australia , Financing, Government , Health Services for the Aged/economics , Hospitals, Public/economics , Humans , Interinstitutional Relations , National Health Programs/economics , Negotiating , Private Sector
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