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Featured researches published by Mary Haines.


Evidence & Policy: A Journal of Research, Debate and Practice | 2011

What works to increase the use of research in population health policy and programmes: a review

Gabriel Moore; Sally Redman; Mary Haines; Angela L. Todd

Policy agencies are implementing strategies to increase the use of research in policy decisions. This paper examines the evidence about the effectiveness of these strategies. We conducted an extensive search focused on population health policy and programmes. We classified 106 papers meeting study criteria into research type (conceptual, descriptive and intervention). We examined the descriptive studies to identify commonly nominated potential intervention strategies. We examined the intervention studies to evaluate the impact of the tested strategies in increasing the use of research in policy decisions. There is little evidence about which strategies increase the use of evidence in population health policy and programmes.


Implementation Science | 2012

Determinants of successful clinical networks: the conceptual framework and study protocol.

Mary Haines; Bernadette Brown; Jonathan C. Craig; Catherine D'Este; Elizabeth Elliott; Emily Klineberg; Elizabeth McInnes; Sandy Middleton; Christine Paul; Sally Redman; Elizabeth M. Yano

BackgroundClinical networks are increasingly being viewed as an important strategy for increasing evidence-based practice and improving models of care, but success is variable and characteristics of networks with high impact are uncertain. This study takes advantage of the variability in the functioning and outcomes of networks supported by the Australian New South Wales (NSW) Agency for Clinical Innovations non-mandatory model of clinical networks to investigate the factors that contribute to the success of clinical networks.Methods/DesignThe objective of this retrospective study is to examine the association between external support, organisational and program factors, and indicators of success among 19 clinical networks over a three-year period (2006-2008). The outcomes (health impact, system impact, programs implemented, engagement, user perception, and financial leverage) and explanatory factors will be collected using a web-based survey, interviews, and record review. An independent expert panel will provide judgements about the impact or extent of each networks initiatives on health and system impacts. The ratings of the expert panel will be the outcome used in multivariable analyses. Following the rating of network success, a qualitative study will be conducted to provide a more in-depth examination of the most successful networks.DiscussionThis is the first study to combine quantitative and qualitative methods to examine the factors that contribute to the success of clinical networks and, more generally, is the largest study of clinical networks undertaken. The adaptation of expert panel methods to rate the impacts of networks is the methodological innovation of this study. The proposed project will identify the conditions that should be established or encouraged by agencies developing clinical networks and will be of immediate use in forming strategies and programs to maximise the effectiveness of such networks.


BMC Public Health | 2012

Mortality after admission for acute myocardial infarction in Aboriginal and non-Aboriginal people in New South Wales, Australia: a multilevel data linkage study

Deborah Randall; Louisa Jorm; Sanja Lujic; Aiden O’Loughlin; Timothy Churches; Mary Haines; Sandra Eades; Alastair H Leyland

BackgroundHeart disease is a leading cause of the gap in burden of disease between Aboriginal and non-Aboriginal Australians. Our study investigated short- and long-term mortality after admission for Aboriginal and non-Aboriginal people admitted with acute myocardial infarction (AMI) to public hospitals in New South Wales, Australia, and examined the impact of the hospital of admission on outcomes.MethodsAdmission records were linked to mortality records for 60047 patients aged 25–84 years admitted with a diagnosis of AMI between July 2001 and December 2008. Multilevel logistic regression was used to estimate adjusted odds ratios (AOR) for 30- and 365-day all-cause mortality.ResultsAboriginal patients admitted with an AMI were younger than non-Aboriginal patients, and more likely to be admitted to lower volume, remote hospitals without on-site angiography. Adjusting for age, sex, year and hospital, Aboriginal patients had a similar 30-day mortality risk to non-Aboriginal patients (AOR: 1.07; 95% CI 0.83-1.37) but a higher risk of dying within 365 days (AOR: 1.34; 95% CI 1.10-1.63). The latter difference did not persist after adjustment for comorbid conditions (AOR: 1.12; 95% CI 0.91-1.38). Patients admitted to more remote hospitals, those with lower patient volume and those without on-site angiography had increased risk of short and long-term mortality regardless of Aboriginal status.ConclusionsImproving access to larger hospitals and those with specialist cardiac facilities could improve outcomes following AMI for all patients. However, major efforts to boost primary and secondary prevention of AMI are required to reduce the mortality gap between Aboriginal and non-Aboriginal people.


Implementation Science | 2014

Clinician-led improvement in cancer care (CLICC) - testing a multifaceted implementation strategy to increase evidence-based prostate cancer care: phased randomised controlled trial - study protocol

Bernadette Brown; Jane M. Young; David P. Smith; Andrew Kneebone; Andrew Brooks; Miranda Xhilaga; Amanda Dominello; Dianne L. O’Connell; Mary Haines

BackgroundClinical practice guidelines have been widely developed and disseminated with the aim of improving healthcare processes and patient outcomes but the uptake of evidence-based practice remains haphazard. There is a need to develop effective implementation methods to achieve large-scale adoption of proven innovations and recommended care. Clinical networks are increasingly being viewed as a vehicle through which evidence-based care can be embedded into healthcare systems using a collegial approach to agree on and implement a range of strategies within hospitals. In Australia, the provision of evidence-based care for men with prostate cancer has been identified as a high priority. Clinical audits have shown that fewer than 10% of patients in New South Wales (NSW) Australia at high risk of recurrence after radical prostatectomy receive guideline recommended radiation treatment following surgery. This trial will test a clinical network-based intervention to improve uptake of guideline recommended care for men with high-risk prostate cancer.Methods/DesignIn Phase I, a phased randomised cluster trial will test a multifaceted intervention that harnesses the NSW Agency for Clinical Innovation (ACI) Urology Clinical Network to increase evidence-based care for men with high-risk prostate cancer following surgery. The intervention will be introduced in nine NSW hospitals over 10 months using a stepped wedge design. Outcome data (referral to radiation oncology for discussion of adjuvant radiotherapy in line with guideline recommended care or referral to a clinical trial of adjuvant versus salvage radiotherapy) will be collected through review of patient medical records. In Phase II, mixed methods will be used to identify mechanisms of provider and organisational change. Clinicians’ knowledge and attitudes will be assessed through surveys. Process outcome measures will be assessed through document review. Semi-structured interviews will be conducted to elucidate mechanisms of change.DiscussionThe study will be one of the first randomised controlled trials to test the effectiveness of clinical networks to lead changes in clinical practice in hospitals treating patients with high-risk cancer. It will additionally provide direction regarding implementation strategies that can be effectively employed to encourage widespread adoption of clinical practice guidelines.Trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12611001251910.


BMC Health Services Research | 2016

The effectiveness of clinical networks in improving quality of care and patient outcomes: A systematic review of quantitative and qualitative studies

Bernadette Brown; Cyra Patel; Elizabeth McInnes; Nicholas Mays; Jane M. Young; Mary Haines

BackgroundReorganisation of healthcare services into networks of clinical experts is increasing as a strategy to promote the uptake of evidence based practice and to improve patient care. This is reflected in significant financial investment in clinical networks. However, there is still some question as to whether clinical networks are effective vehicles for quality improvement. The aim of this systematic review was to ascertain the effectiveness of clinical networks and identify how successful networks improve quality of care and patient outcomes.MethodsA systematic search was undertaken in accordance with the PRISMA approach in Medline, Embase, CINAHL and PubMed for relevant papers between 1 January 1996 and 30 September 2014. Established protocols were used separately to examine and assess the evidence from quantitative and qualitative primary studies and then integrate findings.ResultsA total of 22 eligible studies (9 quantitative; 13 qualitative) were included. Of the quantitative studies, seven focused on improving quality of care and two focused on improving patient outcomes. Quantitative studies were limited by a lack of rigorous experimental design. The evidence indicates that clinical networks can be effective vehicles for quality improvement in service delivery and patient outcomes across a range of clinical disciplines. However, there was variability in the networks’ ability to make meaningful network- or system-wide change in more complex processes such as those requiring intensive professional education or more comprehensive redesign of care pathways. Findings from qualitative studies indicated networks that had a positive impact on quality of care and patients outcomes were those that had adequate resources, credible leadership and efficient management coupled with effective communication strategies and collaborative trusting relationships.ConclusionsThere is evidence that clinical networks can improve the delivery of healthcare though there are few high quality quantitative studies of their effectiveness. Our findings can provide policymakers with some insight into how to successfully plan and implement clinical networks by ensuring strong clinical leadership, an inclusive organisational culture, adequate resourcing and localised decision-making authority.


BJUI | 2016

Knowledge, attitudes and beliefs towards management of men with locally advanced prostate cancer following radical prostatectomy: an Australian survey of urologists.

Bernadette Brown; Jane M. Young; Andrew Kneebone; Andrew Brooks; Amanda Dominello; Mary Haines

To investigate Australian urologists’ knowledge, attitudes and beliefs, and the association of these with treatment preferences relating to guideline‐recommended adjuvant radiotherapy for men with adverse pathologic features following radical prostatectomy.


BMC Health Services Research | 2015

What are the reasons for clinical network success? A qualitative study

Elizabeth McInnes; Mary Haines; Amanda Dominello; Deanna Kalucy; Asmara Jammali-Blasi; Sandy Middleton; Emily Klineberg

BackgroundClinical networks have been established to improve patient outcomes and processes of care by implementing a range of innovations and undertaking projects based on the needs of local health services. Given the significant investment in clinical networks internationally, it is important to assess their effectiveness and sustainability. This qualitative study investigated the views of stakeholders on the factors they thought were influential in terms of overall network success.MethodTen participants were interviewed using face-to-face, audio-recorded semi-structured interviews about critical factors for networks’ successes over the study period 2006–2008. Respondents were purposively selected from two stakeholder groups: i) chairs of networks during the study period of 2006–2008 from high- moderate- and low-impact networks (as previously determined by an independent review panel) and ii) experts in the clinical field of the network who had a connection to the network but who were not network members. Participants were blind to the performance of the network they were interviewed about. Transcribed data were coded and analysed to generate themes relating to the study aims.ResultsThemes relating to influential factors critical to network success were: network model principles; leadership; formal organisational structures and processes; nature of network projects; external relationships; profile and credibility of the network.ConclusionsThis study provides clinical networks with guidance on essential factors for maximising optimal network outcomes and that may assist networks to move from being a ’low-impact’ to ‘high-impact’ network. Important ingredients for successful clinical networks were visionary and strategic leadership with strong links to external stakeholders; and having formal infrastructure and processes to enable the development and management of work plans aligned with health priorities.


Social Psychiatry and Psychiatric Epidemiology | 2006

Social support, ethnicity and mental health in adolescents

Emily Klineberg; Charlotte Clark; Kamaldeep Bhui; Mary Haines; Russell M. Viner; Jenny Head; Davina Woodley-Jones; Stephen Stansfeld


Australian Health Review | 2010

'Hands on, Hands off': a model of clinical supervision that recognises trainees' need for support and independence

Rick Iedema; Suzanne H. Brownhill; Mary Haines; Bill Lancashire; Tim Shaw; Jane Street


Public Health Research & Practice | 2015

Applications of system dynamics modelling to support health policy.

Jo-An Atkinson; Robert Wells; Andrew Page; Amanda Dominello; Mary Haines; Andrew Wilson

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Andrew Kneebone

Royal North Shore Hospital

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Elizabeth McInnes

Australian Catholic University

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Sandy Middleton

Australian Catholic University

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