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      Healthcare Databases in Thailand and Japan: Potential Sources for Health Technology Assessment Research

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          Abstract

          Background

          Health technology assessment (HTA) has been continuously used for value-based healthcare decisions over the last decade. Healthcare databases represent an important source of information for HTA, which has seen a surge in use in Western countries. Although HTA agencies have been established in Asia-Pacific region, application and understanding of healthcare databases for HTA is rather limited. Thus, we reviewed existing databases to assess their potential for HTA in Thailand where HTA has been used officially and Japan where HTA is going to be officially introduced.

          Method

          Existing healthcare databases in Thailand and Japan were compiled and reviewed. Databases’ characteristics e.g. name of database, host, scope/objective, time/sample size, design, data collection method, population/sample, and variables were described. Databases were assessed for its potential HTA use in terms of safety/efficacy/effectiveness, social/ethical, organization/professional, economic, and epidemiological domains. Request route for each database was also provided.

          Results

          Forty databases– 20 from Thailand and 20 from Japan—were included. These comprised of national censuses, surveys, registries, administrative data, and claimed databases. All databases were potentially used for epidemiological studies. In addition, data on mortality, morbidity, disability, adverse events, quality of life, service/technology utilization, length of stay, and economics were also found in some databases. However, access to patient-level data was limited since information about the databases was not available on public sources.

          Conclusion

          Our findings have shown that existing databases provided valuable information for HTA research with limitation on accessibility. Mutual dialogue on healthcare database development and usage for HTA among Asia-Pacific region is needed.

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          Most cited references18

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          Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population

          Background The validity of survey-based health care utilization estimates in the older population has been poorly researched. Owing to data protection legislation and a great number of different health care insurance providers, the assessment of recall and non-response bias is challenging to impossible in many countries. The objective of our study was to compare estimates from a population-based study in older German adults with external secondary data. Methods We used data from the German KORA-Age study, which included 4,127 people aged 65–94 years. Self-report questions covered the utilization of long-term care services, inpatient services, outpatient services, and pharmaceuticals. We calculated age- and sex-standardized mean utilization rates in each domain and compared them with the corresponding estimates derived from official statistics and independent statutory health insurance data. Results The KORA-Age study underestimated the use of long-term care services (−52%), in-hospital days (−21%) and physician visits (−70%). In contrast, the assessment of drug consumption by postal self-report questionnaires yielded similar estimates to the analysis of insurance claims data (−9%). Conclusion Survey estimates based on self-report tend to underestimate true health care utilization in the older population. Direct validation studies are needed to disentangle the impact of recall and non-response bias.
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            Informing a decision framework for when NICE should recommend the use of health technologies only in the context of an appropriately designed programme of evidence development.

            The general issue of balancing the value of evidence about the performance of a technology and the value of access to a technology can be seen as central to a number of policy questions. Establishing the key principles of what assessments are needed, as well as how they should be made, will enable them to be addressed in an explicit and transparent manner. The aims of this research are to (1) establish the key principles of what assessments are needed to inform an 'only in research' (OIR) or 'approval with research' (AWR) recommendation, (2) evaluate previous National Institute for Health and Clinical Evidence (NICE) guidance in which OIR or AWR recommendations were made or considered and (3) evaluate a range of alternative options to establish criteria, additional information and/or analysis that could be made available to inform the assessments needed. All NICE draft and final guidance up to January 2010 was considered in the review of NICE technology appraisal guidance. Four case studies were used to evaluate the range of options of what information and analysis could be made available to inform the assessment required. These were based on a reanalysis of existing health technology appraisals for NICE or the Health Technology Assessment programme. A critical review of policies, practice and literature was undertaken using traditional systematic searching based on initial search terms informed by key publications. An iterative approach was adopted using 'pearl growing' evaluated through capture-recapture methods. In addition, grey literature, policy documents and other sources, such as special interest groups and the expertise of the Advisory Group for the project, were used to contribute to this process. A series of recommendations, or options, for NICE to consider were developed with the involvement of key stakeholders. These establish the key principles and associated criteria that might guide OIR and AWR recommendations and identify what, if any, additional information or analysis might be included in the technology appraisal process, including how such recommendations might be more likely to be implemented through publically funded and sponsored research. To meet these aims the research is broadly structured as follows. A critical review of policy, practice and literature in this area informs the development of a coherent conceptual framework to establish the key principles and the sequence of assessment and judgements required. This sequence of assessment and judgement is represented as an algorithm, which can also be summarised as a simple set of explicit criteria or a 7-point checklist of assessments. A review of previous NICE guidance in which OIR or AWR recommendations were either made or considered was undertaken to examine the extent to which the key principles are evident. The application of the checklist of assessment to a series of four case studies informs considerations of whether or not such assessments can be made based on existing information and analysis in current NICE appraisal and in what circumstances could additional information and/or analysis be useful. Finally, some of the implications that this more explicit assessment of OIR and AWR might have for policy (e.g. NICE guidance and drug pricing), the process of appraisal (e.g. greater involvement of research commissioners) and methods of appraisal (e.g. should additional information, evidence and analysis be required) are drawn together. At each stage this research has been informed by a diverse and international Advisory Group and the feedback from participants at two workshops involving a wide range of key stakeholders, which included members of NICE and its Advisory Committees (including lay members and other NICE programmes), patient advocates, manufacturers, and research and NHS commissioners, as well as relevant academics. Further research is required to establish how these considerations could be integrated within a practical value-based pricing scheme. In addition, irrecoverable opportunity costs are commonly associated with many health technologies that offer future benefits following treatment. The significance of these types of irrecoverable costs is not widely recognised and further research to demonstrate their potential impact more generally is needed. The categories of guidance available to NICE have a wider application than is reflected in the review of previous guidance. Importantly, determining which category of guidance will be appropriate depends only partly on an assessment of expected cost-effectiveness. As well as AWR for technologies expected to be cost-effective and OIR for those not expected to be cost-effective, there are other important circumstances when OIR should be considered. In particular, for technologies expected to be cost-effective, OIR rather than approve may be appropriate when research is not possible with approval and OIR or even reject, rather than AWR or approve, may be appropriate even if research is possible with approval when there are significant irrecoverable costs. The National Institute for Health Research Health Technology Assessment programme.
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              Comparative effectiveness of prostate cancer treatments: evaluating statistical adjustments for confounding in observational data.

              Using observational data to assess the relative effectiveness of alternative cancer treatments is limited by patient selection into treatment, which often biases interpretation of outcomes. We evaluated methods for addressing confounding in treatment and survival of patients with early-stage prostate cancer in observational data and compared findings with those from a benchmark randomized clinical trial. We selected 14 302 early-stage prostate cancer patients who were aged 66-74 years and had been treated with radical prostatectomy or conservative management from linked Surveillance, Epidemiology, and End Results-Medicare data from January 1, 1995, through December 31, 2003. Eligibility criteria were similar to those from a clinical trial used to benchmark our analyses. Survival was measured through December 31, 2007, by use of Cox proportional hazards models. We compared results from the benchmark trial with results from models with observational data by use of traditional multivariable survival analysis, propensity score adjustment, and instrumental variable analysis. Prostate cancer patients receiving conservative management were more likely to be older, nonwhite, and single and to have more advanced disease than patients receiving radical prostatectomy. In a multivariable survival analysis, conservative management was associated with greater risk of prostate cancer-specific mortality (hazard ratio [HR] = 1.59, 95% confidence interval [CI] = 1.27 to 2.00) and all-cause mortality (HR = 1.47, 95% CI = 1.35 to 1.59) than radical prostatectomy. Propensity score adjustments resulted in similar patient characteristics across treatment groups, although survival results were similar to traditional multivariable survival analyses. Results for the same comparison from the instrumental variable approach, which theoretically equalizes both observed and unobserved patient characteristics across treatment groups, differed from the traditional multivariable and propensity score results but were consistent with findings from the subset of elderly patient with early-stage disease in the trial (ie, conservative management vs radical prostatectomy: for prostate cancer-specific mortality, HR = 0.73, 95% CI = 0.08 to 6.73; for all-cause mortality, HR = 1.09, 95% CI = 0.46 to 2.59). Instrumental variable analysis may be a useful technique in comparative effectiveness studies of cancer treatments if an acceptable instrument can be identified.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 November 2015
                2015
                : 10
                : 11
                : e0141993
                Affiliations
                [1 ]Center of Health Outcomes Research and Therapeutic Safety (Cohorts), School of Pharmaceutical Sciences, University of Phayao, Phayao, Thailand
                [2 ]The Canon Institute for Global Studies, Tokyo, Japan
                [3 ]Graduate School of Public Policy, University of Tokyo, Tokyo, Japan
                [4 ]Meiji Institute for Global Affairs, Meiji University, Tokyo, Japan
                [5 ]Center of Pharmaceutical Outcomes Research (CPOR), Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand
                [6 ]Faculty of Public Health, Naresuan University, Phitsanulok, Thailand
                [7 ]School of Pharmacy, Monash University Sunway Campus, Selangor, Malaysia
                [8 ]School of Population Health, University of Queensland, Brisbane, Australia
                [9 ]School of Pharmacy, University of Wisconsin, Madison, United States of America
                UNAIDS, TRINIDAD AND TOBAGO
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SS TS IK NC. Performed the experiments: SS TS. Analyzed the data: SS TS. Contributed reagents/materials/analysis tools: SS TS IK NC. Wrote the paper: SS TS IK CP NC.

                Article
                PONE-D-15-28534
                10.1371/journal.pone.0141993
                4641604
                26560127
                9d93b7f0-d317-4eb1-815e-653433c4a0d6
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 30 June 2015
                : 15 October 2015
                Page count
                Figures: 1, Tables: 3, Pages: 20
                Funding
                The authors have no support or funding to report.
                Categories
                Research Article
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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