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      Comparing doctors’ legal compliance across three Australian states for decisions whether to withhold or withdraw life-sustaining medical treatment: does different law lead to different decisions?

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          Abstract

          Background

          Law purports to regulate end-of-life care but its role in decision-making by doctors is not clear. This paper, which is part of a three-year study into the role of law in medical practice at the end of life, investigates whether law affects doctors’ decision-making. In particular, it considers whether the fact that the law differs across Australia’s three largest states – New South Wales (NSW), Victoria and Queensland – leads to doctors making different decisions about withholding and withdrawing life-sustaining treatment from adults who lack capacity.

          Methods

          A cross-sectional postal survey of the seven specialties most likely to be involved in end-of-life care in the acute setting was conducted between 18 July 2012 and 31 January 2013. The sample comprised all medical specialists in emergency medicine, geriatric medicine, intensive care, medical oncology, palliative medicine, renal medicine and respiratory medicine on the AMPCo Direct database in those three Australian states. The survey measured medical specialists’ level of legal compliance, and reasons for their decisions, concerning the withholding or withdrawal of life-sustaining treatment. Multivariable logistic regression was used to examine predictors of legal compliance. Linear regression was used to examine associations between the decision about life-sustaining treatment and the relevance of factors involved in making these decisions, as well as state differences in these associations.

          Results

          Response rate was 32% (867/2702). A majority of respondents in each state said that they would provide treatment in a hypothetical scenario, despite an advance directive refusing it: 72% in NSW and Queensland; 63% in Victoria. After applying differences in state law, 72% of Queensland doctors answered in accordance with local law, compared with 37% in Victoria and 28% in NSW ( p < 0.001). Doctors reported broadly the same decision-making approach despite differences in local law.

          Conclusions

          Law appears to play a limited role in medical decision-making at the end of life with doctors prioritising patient-related clinical and ethical considerations. Different legal frameworks in the three states examined did not lead to different decisions about providing treatment. More education is needed about law and its role in this area, particularly where law is inconsistent with traditional practice.

          Electronic supplementary material

          The online version of this article (10.1186/s12904-017-0249-1) contains supplementary material, which is available to authorized users.

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          Most cited references35

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          Response rates in postal surveys of healthcare professionals between 1996 and 2005: An observational study

          Background Postal surveys are a frequently used method of data collection in health services research. Low response rates increase the potential for bias and threaten study validity. The objectives of this study were to estimate current response rates, to assess whether response rates are falling, to explore factors that might enhance response rates and to examine the potential for non-response bias in surveys mailed to healthcare professionals. Methods A random sample of postal or electronic surveys of healthcare workers (1996-2005) was identified from Medline, Embase or Psycinfo databases or Biomed Central. Outcome measures were survey response rate and non response analysis. Multilevel, multivariable logistic regression examined the relationship between response rate and publication type, healthcare profession, country and number of survey participants, questionnaire length and use of reminders. Results The analysis included 350 studies. Average response rate in doctors was 57.5% (95%CI: 55.2% to 59.8%) and significantly lower than the estimate for the prior 10 year period. Response rates were higher when reminders were sent (adjusted OR 1.3; 95%CI 1.1-1.6) but only half the studies did this. Response rates were also higher in studies with fewer than 1000 participants and in countries other than US, Canada, Australia and New Zealand. They were not significantly affected by publication type or healthcare profession (p > 0.05). Only 17% of studies attempted assessment of possible non-response bias. Conclusion Response rates to postal surveys of healthcare professionals are low and probably declining, almost certainly leading to unknown levels of bias. To improve the informativeness of postal survey findings, researchers should routinely consider the use of reminders and assess potential for non-response bias.
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            A randomised trial and economic evaluation of the effect of response mode on response rate, response bias, and item non-response in a survey of doctors

            Background Surveys of doctors are an important data collection method in health services research. Ways to improve response rates, minimise survey response bias and item non-response, within a given budget, have not previously been addressed in the same study. The aim of this paper is to compare the effects and costs of three different modes of survey administration in a national survey of doctors. Methods A stratified random sample of 4.9% (2,702/54,160) of doctors undertaking clinical practice was drawn from a national directory of all doctors in Australia. Stratification was by four doctor types: general practitioners, specialists, specialists-in-training, and hospital non-specialists, and by six rural/remote categories. A three-arm parallel trial design with equal randomisation across arms was used. Doctors were randomly allocated to: online questionnaire (902); simultaneous mixed mode (a paper questionnaire and login details sent together) (900); or, sequential mixed mode (online followed by a paper questionnaire with the reminder) (900). Analysis was by intention to treat, as within each primary mode, doctors could choose either paper or online. Primary outcome measures were response rate, survey response bias, item non-response, and cost. Results The online mode had a response rate 12.95%, followed by the simultaneous mixed mode with 19.7%, and the sequential mixed mode with 20.7%. After adjusting for observed differences between the groups, the online mode had a 7 percentage point lower response rate compared to the simultaneous mixed mode, and a 7.7 percentage point lower response rate compared to sequential mixed mode. The difference in response rate between the sequential and simultaneous modes was not statistically significant. Both mixed modes showed evidence of response bias, whilst the characteristics of online respondents were similar to the population. However, the online mode had a higher rate of item non-response compared to both mixed modes. The total cost of the online survey was 38% lower than simultaneous mixed mode and 22% lower than sequential mixed mode. The cost of the sequential mixed mode was 14% lower than simultaneous mixed mode. Compared to the online mode, the sequential mixed mode was the most cost-effective, although exhibiting some evidence of response bias. Conclusions Decisions on which survey mode to use depend on response rates, response bias, item non-response and costs. The sequential mixed mode appears to be the most cost-effective mode of survey administration for surveys of the population of doctors, if one is prepared to accept a degree of response bias. Online surveys are not yet suitable to be used exclusively for surveys of the doctor population.
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              Enough: The Failure of the Living Will

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                Author and article information

                Contributors
                (+61) 7 3138 4066 , bp.white@qut.edu.au
                l.willmott@qut.edu.au
                colleen.cartwright@scu.edu.au
                m.parker@uq.edu.au
                g.williams@sph.uq.edu.au
                jed2169@columbia.edu
                Journal
                BMC Palliat Care
                BMC Palliat Care
                BMC Palliative Care
                BioMed Central (London )
                1472-684X
                28 November 2017
                28 November 2017
                2017
                : 16
                : 63
                Affiliations
                [1 ]ISNI 0000000089150953, GRID grid.1024.7, Australian Centre for Health Law Research, Faculty of Law, , Queensland University of Technology, ; Brisbane, Australia
                [2 ]ISNI 0000000121532610, GRID grid.1031.3, Southern Cross University, ; Gold Coast, Australia
                [3 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Faculty of Medicine, University of Queensland, ; Brisbane, Australia
                [4 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, School of Public Health, University of Queensland, ; Brisbane, Australia
                Article
                249
                10.1186/s12904-017-0249-1
                5704501
                29179708
                cf0ea6fd-50fa-400a-8e97-49053ab07590
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 13 June 2017
                : 16 November 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000923, Australian Research Council;
                Award ID: LP0990329
                Funded by: New South Wales Civil and Administrative Tribunal
                Funded by: New South Wales Public Guardian
                Funded by: Office of the Public Advocate (Victoria)
                Funded by: Victorian Civil and Administrative Tribunal
                Funded by: Queensland Civil and Administrative Tribunal
                Funded by: Office of the Public Guardian (Queensland)
                Funded by: Office of the Public Advocate (Queensland)
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Anesthesiology & Pain management
                end-of-life decision-making,medical law,withholding and withdrawing life-sustaining treatment,compliance with law,advance directives

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