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Assessing societal and offender perspectives on the value of offender healthcare: a stated preference research protocol.

ABSTRACT: INTRODUCTION:The increasing burden that offenders place on justice and health budgets necessitates better methods to determine the benefits of and value society places on offender programmes to guide policy regarding resource allocation. The aim of this paper is to demonstrate how economic methods will be used to determine the strength of preferences and value of violent offender treatment programmes from the perspectives of offenders, their families and the general population. METHODS AND ANALYSIS:Two stated preference economic methods, discrete choice experiment (DCE) and contingent valuation (CV), will be used to assess society's and offenders' value of treatment programmes. The mixed methods process involves a literature review and qualitative methods to derive attributes and levels for the DCE and payment card values for the CV. Consensus building approaches of voting, ranking and the Delphi method will be used to further refine the findings from the qualitative phase. Attributes and their levels will be used in a D-efficient Bayesian experimental design to derive choice scenarios for the development of a questionnaire that will also include CV questions. Finally, quantitative surveys to assess societal preferences and value in terms of willingness to pay will be conducted. ETHICS AND DISSEMINATION:Ethics approval for this study was obtained from the University of New South Wales (UNSW) Human Research Ethics Committee, Corrective Services New South Wales Ethics Committee and the Aboriginal Health and Medical Research Council ethics committee. The findings will be made available on the Kirby Institute UNSW website, published in peer-reviewed journals and presented at national and international conferences.

SUBMITTER: Settumba SN

PROVIDER: S-EPMC6475181 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Assessing societal and offender perspectives on the value of offender healthcare: a stated preference research protocol.

Settumba Stella Nalukwago SN Shanahan Marian M Chambers Georgina M GM Schofield Peter P Butler Tony T

BMJ open 20190323 3

<h4>Introduction</h4>The increasing burden that offenders place on justice and health budgets necessitates better methods to determine the benefits of and value society places on offender programmes to guide policy regarding resource allocation. The aim of this paper is to demonstrate how economic methods will be used to determine the strength of preferences and value of violent offender treatment programmes from the perspectives of offenders, their families and the general population.<h4>Method ...[more]

PMID: 30904856

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Project description:BACKGROUND:One prominent barrier faced by healthcare consumers when accessing health services is a common requirement to complete repetitive, inefficient paper-based documentation at multiple registration sites. Digital innovation has a potential role to reduce the burden in this area, through the collection and sharing of data between healthcare providers. While there is growing evidence for digital innovations to potentially improve the effectiveness and efficiency of health systems, there is less information on the willingness of healthcare consumers to embrace and utilise technology to provide data. AIM:The study aims to improve understanding of consumers' preference for utilising a digital health administration mobile app. METHODS:The online study used a stated preference experiment design to explore aspects of consumers' preference for a mobile health administration app and its impact on the likelihood of using the app. The survey was answered by a representative sample (by age and gender) of Australian adults, and sociodemographic factors were also recorded for analysis. Each participant answered eight choice sets in which a hypothetical app (defined by a set of dimensions and levels) was presented and the respondent was asked if they would be willing to provide data using that app. Analysis was conducted using bivariate logistic regression. RESULTS:For the average respondent, the two most important dimensions were the time it took to register on the app and the electronic governance arrangements around their personal information. Willingness to use any app was found to differ based on respondent characteristics: people with higher education, and women, were relatively more willing to utilise the mobile health app. CONCLUSION:This study investigated consumers' willingness to utilise a digital health administration mobile app. The identification of key characteristics of more acceptable apps provide valuable insight and recommendations for developers of similar digital health administration technologies. This would increase the likelihood of achieving successful acceptance and utilisation by consumers. The results from this study provide evidence-based recommendations for future research and policy development, planning and implementation of digital health administration mobile applications in Australia.

Project description:BACKGROUND:In many countries, medical interventions are reimbursed on the basis of recommendations made by advisory boards and committees that apply multiple criteria in their assessment procedures. Given the diversity of these criteria, it is difficult to find common ground to determine what information is required for setting priorities. OBJECTIVE:To investigate whether society and patients share the same interests and views concerning healthcare priorities. METHODS:We applied a framework of discrete choice models in which respondents were presented with judgmental tasks to elicit their preferences. They were asked to choose between two hypothetical scenarios of patients receiving a new treatment. The scenarios graphically presented treatment outcomes and patient characteristics. Responses were collected through an online survey administered among respondents from the general population (N = 1,253) and patients (N = 1,389) and were analyzed using conditional logit and mixed logit models. RESULTS:The respondents' preferences regarding new medical treatments revealed that they attached the most relative importance to additional survival years, age at treatment, initial health condition, and the cause of disease. Minor differences in the relative importance assigned to three criteria: age at treatment, initial health, and cause of disease were found between the general population and patient samples. Health scenarios in which patients had higher initial health-related quality of life (i.e., a lower burden of disease) were favored over those in which patients' initial health-related quality of life was lower. CONCLUSIONS:Overall, respondents within the general population expressed preferences that were similar to those of the patients. Therefore, priority-setting studies that are based on the perspectives of the general population may be useful for informing decisions on reimbursement and other types of priority-setting processes in health care. Incorporating the preferences of the general population may simultaneously increase public acceptance of these decisions.

Project description:IntroductionOver the past three decades, extensive research has been undertaken to understand the elements of what constitutes high quality in healthcare. Yet, much of this research has been conducted on individual elements and their specific challenges. Hence, goals other than understanding the complex of factors and elements that comprises quality in healthcare have been privileged. This lack of progress has led to the conclusion that existing approaches to research are not able to address the inherent complexity of healthcare systems as characterised by a significant degree of performance variability within and across system levels, and what makes them resilient. A shift is, therefore, necessary in such approaches. Resilience in Healthcare (RiH) adopts an approach comprising a comprehensive research programme that models the capacity of healthcare systems and stakeholders to adapt to changes, variations and/or disruptions: that is, resilience. As such, RiH offers a fresh approach capable of capturing and illuminating the complexity of healthcare and how high-quality care can be understood and advanced.Methods and analysisMethodologically, to illuminate what constitutes quality in healthcare, it is necessary to go beyond single-site, case-based studies. Instead, there is a need to engage in multi-site, cross-national studies and engage in long-term multidisciplinary collaboration between national and international researchers interacting with multiple healthcare stakeholders. By adopting such processes, multiple partners and a multidisciplinary orientation, the 5-year RiH research programme aims to confront these challenges and accelerate current understandings about and approaches to researching healthcare quality.The RiH research programme adopts a longitudinal collaborative interactive design to capture and illuminate resilience as part of healthcare quality in different healthcare settings in Norway and in five other countries. It combines a meta-analysis of detailed empirical research in Norway with cross-country comparison from Australia, Japan, Netherlands, Switzerland and the UK. Through establishing an RiH framework, the programme will identify processes with outcomes that aim to capture how high-quality healthcare provisions are achieved. A collaborative learning framework centred on engagement aims to systematically translate research findings into practice through co-construction processes with partners and stakeholders.Ethics and disseminationThe RiH research programme is approved by the Norwegian Centre for Research Data (No. 864334). The empirical projects selected for inclusion in this longitudinal research programme have been approved by the Norwegian Centre for Research Data or the Regional Committees for Medical and Health Research Ethics. The RiH research programme has an embedded publication and dissemination strategy focusing on the progressive sharing of scientific knowledge, information and results, and on engaging with the public, including relevant patient and stakeholder representatives. The findings will be disseminated through scientific articles, PhD dissertations, presentations at national and international conferences, and through social media, newsletters and the popular media.

Dataset Information

Assessing societal and offender perspectives on the value of offender healthcare: a stated preference research protocol.

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Assessing societal and offender perspectives on the value of offender healthcare: a stated preference research protocol.

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