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Dive into the research topics where Duncan Mortimer is active.

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Featured researches published by Duncan Mortimer.


Medical Decision Making | 2008

Comparing the incomparable? A systematic review of competing techniques for converting descriptive measures of health status into QALY-weights

Duncan Mortimer; Leonie Segal

Background . Algorithms for converting descriptive measures of health status into quality-adjusted life year (QALY)—weights are now widely available, and their application in economic evaluation is increasingly commonplace. The objective of this study is to describe and compare existing conversion algorithms and to highlight issues bearing on the derivation and interpretation of the QALY-weights so obtained. Methods . Systematic review of algorithms for converting descriptive measures of health status into QALY-weights. Results . The review identified a substantial body of literature comprising 46 derivation studies and 16 studies that provided evidence or commentary on the validity of conversion algorithms. Conversion algorithms were derived using 1 of 4 techniques: 1) transfer to utility regression, 2) response mapping, 3) effect size translation, and 4) “revaluing” outcome measures using preference-based scaling techniques. Although these techniques differ in their methodological/theoretical tradition, data requirements, and ease of derivation and application, the available evidence suggests that the sensitivity and validity of derived QALY-weights may be more dependent on the coverage and sensitivity of measures and the disease area/patient group under evaluation than on the technique used in derivation. Conclusions . Despite the recent proliferation of conversion algorithms, a number of questions bearing on the derivation and interpretation of derived QALY-weights remain unresolved. These unresolved issues suggest directions for future research in this area. In the meantime, analysts seeking guidance in selecting derived QALY-weights should consider the validity and feasibility of each conversion algorithm in the disease area and patient group under evaluation rather than restricting their choice to weights from a particular derivation technique.


PLOS ONE | 2013

Evaluation of a Theory-Informed Implementation Intervention for the Management of Acute Low Back Pain in General Medical Practice: The IMPLEMENT Cluster Randomised Trial

Simon D. French; Joanne E. McKenzie; Denise O'Connor; Jeremy Grimshaw; Duncan Mortimer; Jill J Francis; Susan Michie; Neil Spike; Peter Schattner; Peter Kent; Rachelle Buchbinder; Matthew J. Page; Sally Green

Introduction This cluster randomised trial evaluated an intervention to decrease x-ray referrals and increase giving advice to stay active for people with acute low back pain (LBP) in general practice. Methods General practices were randomised to either access to a guideline for acute LBP (control) or facilitated interactive workshops (intervention). We measured behavioural predictors (e.g. knowledge, attitudes and intentions) and fear avoidance beliefs. We were unable to recruit sufficient patients to measure our original primary outcomes so we introduced other outcomes measured at the general practitioner (GP) level: behavioural simulation (clinical decision about vignettes) and rates of x-ray and CT-scan (medical administrative data). All those not involved in the delivery of the intervention were blinded to allocation. Results 47 practices (53 GPs) were randomised to the control and 45 practices (59 GPs) to the intervention. The number of GPs available for analysis at 12 months varied by outcome due to missing confounder information; a minimum of 38 GPs were available from the intervention group, and a minimum of 40 GPs from the control group. For the behavioural constructs, although effect estimates were small, the intervention group GPs had greater intention of practising consistent with the guideline for the clinical behaviour of x-ray referral. For behavioural simulation, intervention group GPs were more likely to adhere to guideline recommendations about x-ray (OR 1.76, 95%CI 1.01, 3.05) and more likely to give advice to stay active (OR 4.49, 95%CI 1.90 to 10.60). Imaging referral was not statistically significantly different between groups and the potential importance of effects was unclear; rate ratio 0.87 (95%CI 0.68, 1.10) for x-ray or CT-scan. Conclusions The intervention led to small changes in GP intention to practice in a manner that is consistent with an evidence-based guideline, but it did not result in statistically significant changes in actual behaviour. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN012606000098538


Implementation Science | 2008

IMPLEmenting a clinical practice guideline for acute low back pain evidence-based manageMENT in general practice (IMPLEMENT): cluster randomised controlled trial study protocol

Joanne E. McKenzie; Simon D. French; Denise O'Connor; Jeremy Grimshaw; Duncan Mortimer; Susan Michie; Jill J Francis; Neil Spike; Peter Schattner; Peter Kent; Rachelle Buchbinder; Sally Green

BackgroundEvidence generated from reliable research is not frequently implemented into clinical practice. Evidence-based clinical practice guidelines are a potential vehicle to achieve this. A recent systematic review of implementation strategies of guideline dissemination concluded that there was a lack of evidence regarding effective strategies to promote the uptake of guidelines. Recommendations from this review, and other studies, have suggested the use of interventions that are theoretically based because these may be more effective than those that are not. An evidence-based clinical practice guideline for the management of acute low back pain was recently developed in Australia. This provides an opportunity to develop and test a theory-based implementation intervention for a condition which is common, has a high burden, and for which there is an evidence-practice gap in the primary care setting.AimThis study aims to test the effectiveness of a theory-based intervention for implementing a clinical practice guideline for acute low back pain in general practice in Victoria, Australia. Specifically, our primary objectives are to establish if the intervention is effective in reducing the percentage of patients who are referred for a plain x-ray, and improving mean level of disability for patients three months post-consultation.Methods/DesignThis study protocol describes the details of a cluster randomised controlled trial. Ninety-two general practices (clusters), which include at least one consenting general practitioner, will be randomised to an intervention or control arm using restricted randomisation. Patients aged 18 years or older who visit a participating practitioner for acute non-specific low back pain of less than three months duration will be eligible for inclusion. An average of twenty-five patients per general practice will be recruited, providing a total of 2,300 patient participants. General practitioners in the control arm will receive access to the guideline using the existing dissemination strategy. Practitioners in the intervention arm will be invited to participate in facilitated face-to-face workshops that have been underpinned by behavioural theory. Investigators (not involved in the delivery of the intervention), patients, outcome assessors and the study statistician will be blinded to group allocation.Trial registrationAustralian New Zealand Clinical Trials Registry ACTRN012606000098538 (date registered 14/03/2006).


Cost Effectiveness and Resource Allocation | 2008

Review of Australian health economic evaluation – 245 interventions: what can we say about cost effectiveness?

Kim Dalziel; Leonie Segal; Duncan Mortimer

BackgroundThere is an increasing body of published cost-utility analyses of health interventions which we sought to draw together to inform research and policy.MethodsTo achieve consistency in costing base and policy context, study scope was limited to Australian-based cost-effectiveness analyses. Through a comprehensive literature review we identified 245 health care interventions that met our study criteria.ResultsThe median cost-effectiveness ratio was A


Cost Effectiveness and Resource Allocation | 2008

Is the value of a life or life-year saved context specific? Further evidence from a discrete choice experiment

Duncan Mortimer; Leonie Segal

18,100 (~US


Health Economics | 2010

Fixing the game: are between-silo differences in funding arrangements handicapping some interventions and giving others a head-start?

Leonie Segal; Kim Dalziel; Duncan Mortimer

13,000) per QALY/DALY/LY (quality adjusted life year gained or, disability adjusted life year averted or life year gained). Some modalities tended to perform worse, such as vaccinations and diagnostics (median cost/QALY


Thorax | 2017

A randomised controlled trial of CPAP versus non-invasive ventilation for initial treatment of obesity hypoventilation syndrome

Mark Howard; Amanda J. Piper; Bronwyn Stevens; Anne E. Holland; Brendon J. Yee; Eli Dabscheck; Duncan Mortimer; Angela T. Burge; Daniel Flunt; Catherine Buchan; Linda Rautela; Nicole Sheers; David R. Hillman; David J Berlowitz

58,000 and


BMC Health Services Research | 2017

Sustainability in Health care by Allocating Resources Effectively (SHARE) 6: investigating methods to identify, prioritise, implement and evaluate disinvestment projects in a local healthcare setting

Claire Harris; Kelly Allen; Vanessa Brooke; Tim Dyer; Cara Waller; Richard King; Wayne Ramsey; Duncan Mortimer

68,000 respectively), than others such as allied health, lifestyle, in-patient interventions (median cost/QALY/DALY/LY all at ~A


PharmacoEconomics | 2006

The Value of Thinly Spread QALYs

Duncan Mortimer

9,000~US


Nutrition & Diabetes | 2013

The cost-effectiveness of shopping to a predetermined grocery list to reduce overweight and obesity.

Nicole Au; Grace Marsden; Duncan Mortimer; Paula Lorgelly

6,500). Interventions addressing some diseases such as diabetes and impaired glucose tolerance or alcohol and drug dependence tended to perform well (median cost/QALY/DALY/LY < A

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Leonie Segal

University of South Australia

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Kim Dalziel

University of Melbourne

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Jeremy Grimshaw

Ottawa Hospital Research Institute

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Susan Michie

University College London

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