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Segelov E, Carrington C, Aranda S, Currow D, Zalcberg JR, Heriot AG, Mileshkin L, Coutsouvelis J, Millar JL, Collopy BT, Emery JD, Zhang P, Cooper S, O'Kane C, Wale J, Hancock SJ, Sulkowski A, Bashford J. Developing clinical indicators for oncology: the inaugural cancer care indicator set for the Australian Council on Healthcare Standards. Med J Aust 2021; 214:528-531. [PMID: 34053081 DOI: 10.5694/mja2.51087] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
INTRODUCTION The Australian Council on Healthcare Standards (ACHS) sponsored an expert-led, consensus-driven, four-stage process, based on a modified Delphi methodology, to determine a set of clinical indicators as quality measures of cancer service provision in Australia. This was done in response to requests from institutional health care providers seeking accreditation, which were additional and complementary to the existing radiation oncology set. The steering group members comprised multidisciplinary key opinion leaders and a consumer representative. Five additional participants constituted the stakeholder group, who deliberated on the final indicator set. METHODS AND RECOMMENDATIONS An initial meeting of the steering group scoped the high level nature of the desired set. In stage 2, 65 candidate indicators were identified by a literature review and a search of international metrics. These were ranked by survey, based on ease of data accessibility and collectability and clinical relevance. The top 27 candidates were debated by the stakeholder group and culled to a final set of 16 indicators. A user manual was created with indicators mapped to clinical codes. The indicator set was ratified by the Clinical Oncology Society of Australia and is now available for use by health care organisations participating in the ACHS Clinical Indicator Program. This inaugural cancer clinical indicator set covers high level assessment of various critical processes in cancer service provision in Australia. Regular reviews and updates will ensure usability. CHANGES IN MANAGEMENT AS A RESULT OF THIS STATEMENT This is the inaugural indicator set for cancer care for use across Australia and internationally under the ACHS Clinical Indicator Program. Multidisciplinary involvement through a modified Delphi process selected indicators representing both generic and specific aspects of care across the cancer journey pathway and will provide a functional tool to compare health care delivery across multiple settings. It is anticipated that this will drive continual improvement in cancer care provision.
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Affiliation(s)
- Eva Segelov
- Monash University, Melbourne, VIC.,Monash Health, Melbourne, VIC
| | | | | | | | | | - Alexander G Heriot
- Epworth HealthCare, Melbourne, VIC.,Peter MacCallum Cancer Centre, Melbourne, VIC
| | | | | | - Jeremy L Millar
- Monash University, Melbourne, VIC.,Alfred Health, Melbourne, VIC
| | - Brian T Collopy
- CQM Consultants, Melbourne, VIC.,Australian Council on Healthcare Standards, Sydney, NSW
| | | | - Phoebe Zhang
- Australian Council on Healthcare Standards, Sydney, NSW
| | - Simon Cooper
- Australian Council on Healthcare Standards, Sydney, NSW
| | - Carmel O'Kane
- Wimmera Cancer Centre, Wimmera Health Care Group, Horsham, VIC
| | - Janet Wale
- Australian Council on Healthcare Standards, Sydney, NSW
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New Zealand's Integration-Based Policy for Driving Local Health System Improvement - Which Conditions Underpin More Successful Implementation? Int J Integr Care 2021; 21:8. [PMID: 33976597 PMCID: PMC8064288 DOI: 10.5334/ijic.5602] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Introduction: The System Level Framework (SLMF) is a policy introduced by New Zealand’s Ministry of Health in 2016 with the aim of improving health outcomes by stimulating inter-organisational integration at the local level. We sought to understand which conditions that vary at the local level are most important in shaping successful implementation of this novel and internationally significant policy initiative relevant to integrated care. Strategy and Methods: We conducted 50 interviews with managers and clinicians who were directly involved in SLM implementation during 2018. Interview data was supplemented with the SLM Improvement Plans of all districts over the first three years of implementation. We used Qualitative Comparative Analysis (QCA) to identify the combinations and configurations of necessary and sufficient conditions of successful implementation. Results: We found that the strength of formal and informal organisational relationships at the local level were critical conditions for implementation success, and that while fidelity to the policy programme was necessary, it was not sufficient. Broader contextual features such as population size and complexity of the organisational environment were less important. The SLMF was able to deepen and widen inter-organisational collaboration where it already existed but could not mitigate the legacies of weaker relationships. Discussion: The two dimensions of implementation success, ‘Maturity of SLM Improvement Plan Processes’ and ‘Data Sophistication and Use’ were closely related. Broadly, our findings support the contention that integrated approaches to health system improvement at the local level require collaborative, trust-based approaches with an emphasis on iterative learning, including the willingness to share data between organisations. Conclusion: In the context of integrated care, our findings support the need to focus on establishing the conditions that build collaborative governance in addition to strengthening it when it already exists.
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Akmal A, Gauld R. What components are important for effective healthcare alliance governance? Findings from a modified Delphi study in New Zealand. Health Policy 2020; 125:239-245. [PMID: 33390279 DOI: 10.1016/j.healthpol.2020.12.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/15/2020] [Accepted: 12/22/2020] [Indexed: 11/17/2022]
Abstract
Alliance governance is a form of governance developed in industry settings and more recently applied to healthcare. The core idea behind alliance governance is to involve the many stakeholders in the system to collaboratively develop a joint programme that promotes an integrated and whole of systems approach to care. Little is known about the model in healthcare, nor what those involved in an alliance should be focused upon. Using a modified Delphi method, this research presents a set of components that research participants agreed should underpin development of an effective alliance governance arrangement. These characteristics include a systems perspective-a truly shared governance protocol based on a shared vision and a common purpose; performance measurement-collecting and using real-time data that depicts the realities of an end-to-end system to establish better and more achievable goals based on alliance performance; a relational perspective to promote trust, respect and collaboration amongst alliance members, who historically have been competing for contracts and resources; structural changes that enable and promote a shared governance system; and, finally, equity and inclusion to ensure a diverse alliance which promotes diversity of ideas, and involvement of all stakeholders in the decision making process. This research is relevant to policymakers seeking to develop effective alliance-type arrangements as well as to those involved in the practice of alliance governance.
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Affiliation(s)
- Adeel Akmal
- Centre for Health Systems and Technology, Otago Business School, University of Otago, 60 Clyde Street, Dunedin 9016, New Zealand.
| | - Robin Gauld
- Centre for Health Systems and Technology, Otago Business School, University of Otago, 60 Clyde Street, Dunedin 9016, New Zealand.
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