Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey

Brown, Paul; Panattoni, Laura; Cameron, Linda D.; Knox, Stephanie; Ashton, Toni; Tenbensel, Tim; Windsor, John A.

doi:10.1016/j.jhealeco.2015.06.004

Cited by 14 publications

(7 citation statements)

References 25 publications

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“…Examples include generalised multinomial logit (4%, 12 studies, e.g. [97, 124, 157, 174, 240]) and heteroskedastic multinomial logit (4%, 11 studies, e.g. [134, 139, 184, 256, 309]).…”

Section: Resultsmentioning

confidence: 99%

Discrete Choice Experiments in Health Economics: Past, Present and Future

et al. 2018

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Objectives Discrete choice experiments (DCEs) are increasingly advocated as a way to quantify preferences for health. However, increasing support does not necessarily result in increasing quality. Although specific reviews have been conducted in certain contexts, there exists no recent description of the general state of the science of health-related DCEs. The aim of this paper was to update prior reviews (1990–2012), to identify all health-related DCEs and to provide a description of trends, current practice and future challenges. Methods A systematic literature review was conducted to identify health-related empirical DCEs published between 2013 and 2017. The search strategy and data extraction replicated prior reviews to allow the reporting of trends, although additional extraction fields were incorporated. Results Of the 7877 abstracts generated, 301 studies met the inclusion criteria and underwent data extraction. In general, the total number of DCEs per year continued to increase, with broader areas of application and increased geographic scope. Studies reported using more sophisticated designs (e.g. D-efficient) with associated software (e.g. Ngene). The trend towards using more sophisticated econometric models also continued. However, many studies presented sophisticated methods with insufficient detail. Qualitative research methods continued to be a popular approach for identifying attributes and levels. Conclusions The use of empirical DCEs in health economics continues to grow. However, inadequate reporting of methodological details inhibits quality assessment. This may reduce decision-makers’ confidence in results and their ability to act on the findings. How and when to integrate health-related DCE outcomes into decision-making remains an important area for future research. Electronic supplementary material The online version of this article (10.1007/s40273-018-0734-2) contains supplementary material, which is available to authorized users.

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“…Examples include generalised multinomial logit (4%, 12 studies, e.g. [97, 124, 157, 174, 240]) and heteroskedastic multinomial logit (4%, 11 studies, e.g. [134, 139, 184, 256, 309]).…”

Section: Resultsmentioning

confidence: 99%

Discrete Choice Experiments in Health Economics: Past, Present and Future

et al. 2018

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“…For example, Marti (), in a DCE that studies factors that predict smoker choices of cessation devices, operationalizes cessation medication‐associated weight gain as a simple binary indicator: no weight gain versus no weight gain. Brown et al (), in a study of hospital choice, defines procedure scheduling convenience as “not convenient—scheduled at the best time for the hospital” and “convenient—scheduled at the best time for you,” and the level of noise in the hospital ward as “quiet—low level of activity,” and “‘noisy—high level of activity.”…”

Section: Methodsmentioning

confidence: 99%

To “Vape” or Smoke? Experimental Evidence on Adult Smokers

et al. 2018

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A growing share of the United States population uses e-cigarettes but the optimal regulation of these controversial products remains an open question. We conduct a discrete choice experiment to investigate how adult tobacco cigarette smokers’ demand for e-cigarettes and tobacco cigarettes varies by four attributes: (i) whether e-cigarettes are considered healthier than tobacco cigarettes, (ii) the effectiveness of e-cigarettes as a cessation device, (iii) bans on use in public places, and (iv) price. We find that adult smokers’ demand for e-cigarettes is motivated more by health concerns than by the desire to avoid smoking bans or higher prices.

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“…Although DCEs have already been widely used to understand the value patients place on a variety of healthcare demands, to the best of our knowledge, only a few studies using the DCE method have focused on patient preferences for health providers 10–12. Brown and his colleagues found the most important determinant in hospital choice in New Zealand was sector: public or private 10. In China, the distribution of providers in the healthcare market is uneven 1 13.…”

Section: Introductionmentioning

confidence: 99%

Exploring determinants of health provider choice and heterogeneity in preference among outpatients in Beijing: a labelled discrete choice experiment

Zhu

Zhang

et al. 2019

BMJ Open

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ObjectiveFor a long time in China, public hospitals have been the most prominent provider of healthcare. However, recent policy reforms mean the private sector is experiencing rapid development. Thus, the purpose of this study is to detect whether the policies published by the government aimed to improve the quality of healthcare services were catering to patient’s preferences.Participants and methodsOur work uses dental care as an example of services provided in outpatient setting and takes advantage of a labelled discrete choice experiment with a random sample of respondents from Beijing. Participants were asked to make a choice between four healthcare providers with different attributes. Mixed logit and latent class models were used for the analysis.ResultCare provided by high-level private hospitals and community hospitals were valued RMB154 and 216 less, respectively, than care provided by class A tertiary hospitals, while the most disliked provider was private clinics. This was the most valued attribute of dental care. Respondents also value: lower waiting times, the option to choose their doctor, lower treatment costs, shorter travel times and a clean waiting room. However, when the level of provider was analysed, the prevailing notion that patients in China were always likely to choose public services than private services no longer holds. Four classes of patients with distinct preferences for dental care provider choice were identified, which can partly be explained by age, income, experience and Hukou status—a household registration permit.DiscussionThe study to some extent challenged the overwhelming predominance of public healthcare providers in China. The preference heterogeneity we found was relatively large. Our findings are significant for providers in developing more specific services for patients and for policymakers in weighing the pros and cons of future initiatives in medical reform.

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Hospital sector choice and support for public hospital care in New Zealand: Results from a labeled discrete choice survey

Cited by 14 publications

References 25 publications

Discrete Choice Experiments in Health Economics: Past, Present and Future

Discrete Choice Experiments in Health Economics: Past, Present and Future

To “Vape” or Smoke? Experimental Evidence on Adult Smokers

Exploring determinants of health provider choice and heterogeneity in preference among outpatients in Beijing: a labelled discrete choice experiment

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