Health Services and Outcomes Research Methodology最新文献

{"title":"ATRAcTR (Authentic Transparent Relevant Accurate Track-Record): a screening tool to assess the potential for real-world data sources to support creation of credible real-world evidence for regulatory decision-making","authors":"Marc L. Berger, William H. Crown, Jim Z. Li, Kelly H. Zou","doi":"10.1007/s10742-023-00319-w","DOIUrl":"https://doi.org/10.1007/s10742-023-00319-w","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"22 1","pages":"1-18"},"PeriodicalIF":1.5,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences","authors":"N. Disher, Jennifer Scott, Anna Tyzik, S. Golden, Georgia Baker, Denise M. Hynes, C. Slatore","doi":"10.1007/s10742-023-00320-3","DOIUrl":"https://doi.org/10.1007/s10742-023-00320-3","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"257 1","pages":"1-21"},"PeriodicalIF":1.5,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139219232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Propensity score weighting with survey weighted data when outcomes are binary: a simulation study","authors":"Chen Yang, M. Cuerden, Wei Zhang, Melissa Aldridge, Lihua Li","doi":"10.1007/s10742-023-00317-y","DOIUrl":"https://doi.org/10.1007/s10742-023-00317-y","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"19 1","pages":"1-21"},"PeriodicalIF":1.5,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139262444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bootstrap approach to disparity testing with source uncertainty in the data","authors":"Gary C. McDonald, Joseph F. Willard","doi":"10.1007/s10742-023-00318-x","DOIUrl":"https://doi.org/10.1007/s10742-023-00318-x","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"43 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Descriptive and inferential analysis of features for Dysphonia and Dysarthria Parkinson’s disease symptoms","authors":"Saiyed Umer, Ranjeet Kumar Rout","doi":"10.1007/s10742-023-00316-z","DOIUrl":"https://doi.org/10.1007/s10742-023-00316-z","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"35 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inspecting the quality of care: a comparison of CUSUM methods for inter hospital performance","authors":"Daniel Gomon, Julie Sijmons, Hein Putter, Jan Willem Dekker, Rob Tollenaar, Michel Wouters, Pieter Tanis, Marta Fiocco, Mirko Signorelli","doi":"10.1007/s10742-023-00315-0","DOIUrl":"https://doi.org/10.1007/s10742-023-00315-0","url":null,"abstract":"Abstract During the past 14 years, a clinical audit has been used in the Netherlands to provide hospitals with data on their performance in colorectal cancer care. Continuous feedback on the quality of care provided at each hospital is essential to improve patient outcomes. It is unclear which methods should be used to generate most informative output for the identification of potential quality issues. Our aim is to compare the commonly employed funnel plot with existing cumulative sum (CUSUM) methodology for the evaluation of postoperative survival and hospital stay outcomes of patients who underwent colorectal surgery in the Netherlands. Data from the Dutch ColoRectal Audit on 25367 patients in the Netherlands who underwent surgical resection for colorectal cancer in 71 hospitals between 2019 and 2021 is used to compare four methods for the detection of deviations in the quality of care. Two methods based on binary outcomes (funnel plot, binary CUSUM) and two CUSUM charts based on survival outcomes (BK-CUSUM and CGR-CUSUM) are considered. A novel approach for determining hospital specific control limits for CUSUM charts is proposed. The ability to detect deviations as well as the time until detection are compared for the four methods. Charts were constructed for the inspection of both postoperative survival and hospital stay. Methods using survival outcomes always yielded faster detection times compared to approaches employing binary outcomes. Detections between methods mostly coincided for postoperative survival. For hospital stay detections varied strongly, with methods based on survival outcomes signalling over half the hospitals. Further pros and cons as well as pitfalls of all methods under consideration are discussed. Methodology for the continuous inspection of the quality of care should be tailored to the specific outcome. Properly understanding how the mechanism of a control chart functions is crucial for the correct interpretation of results. This is particularly true for CUSUM charts, which require the choice of a parameter that greatly influences the results. When applying CUSUM charts, consideration of these issues is strongly recommended.","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135267079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Federal Policies Using Bayesian Time Series Models: Estimating the Causal Impact of the Hospital Readmissions Reduction Program.","authors":"Georgia Papadogeorgou, Fiammetta Menchetti, Christine Choirat, Jason H Wasfy, Corwin M Zigler, Fabrizia Mealli","doi":"10.1007/s10742-022-00294-8","DOIUrl":"10.1007/s10742-022-00294-8","url":null,"abstract":"<p><p>Researchers are often faced with evaluating the effect of a policy or program that was simultaneously initiated across an entire population of units at a single point in time, and its effects over the targeted population can manifest at any time period afterwards. In the presence of data measured over time, Bayesian time series models have been used to impute what would have happened after the policy was initiated, had the policy not taken place, in order to estimate causal effects. However, the considerations regarding the definition of the target estimands, the underlying assumptions, the plausibility of such assumptions, and the choice of an appropriate model have not been thoroughly investigated. In this paper, we establish useful estimands for the evaluation of large-scale policies. We discuss that imputation of missing potential outcomes relies on an assumption which, even though untestable, can be partially evaluated using observed data. We illustrate an approach to evaluate this key causal assumption and facilitate model elicitation based on data from the time interval before policy initiation and using classic statistical techniques. As an illustration, we study the Hospital Readmissions Reduction Program (HRRP), a US federal intervention aiming to improve health outcomes for patients with pneumonia, acute myocardial infraction, or congestive failure admitted to a hospital. We evaluate the effect of the HRRP on population mortality among the elderly across the US and in four geographic subregions, and at different time windows. We find that the HRRP increased mortality from pneumonia and acute myocardial infraction across at least one geographical region and time horizon, and is likely to have had a detrimental effect on public health.</p>","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"56 1","pages":"433-451"},"PeriodicalIF":1.6,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758246/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72736564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care","authors":"Judith Thomas, Julie Li, Craig Scowen, Alex Eigenstetter, Andrew Georgiou","doi":"10.1007/s10742-023-00314-1","DOIUrl":"https://doi.org/10.1007/s10742-023-00314-1","url":null,"abstract":"Abstract Laboratory tests have an important role in informing diagnosis and aiding in the determination of appropriate courses of management and/or treatment in the Emergency Department setting. Over-ordering of laboratory tests can lead to increased costs and/or unnecessary patient procedures, whilst under-ordering can lead to patient safety concerns and/or diagnostic error. Reducing over/under ordering through appropriate use of pathology has the potential to improve patient safety and/or reduce healthcare costs. As a dynamic electronic decision support tool, the Emergency Department Pathology Order Support Tool (ED POST) aims to facilitate effective ordering of pathology tests. This protocol details the methodological approach to be undertaken during the design and development of ED POST, commencing from the outset of the initial development of a prototype design. The research will undertake qualitative methods (interviews, focus group, and think-aloud observations) to develop business process models through collaboration with Emergency Department clinicians. The pre-development research will constitute stage 1 of the approach, with stage 2 focussed on evaluating the utility, usability and business process impact of the prototype to refine the prototype’s design. The collaborative and qualitative multi-method approach aims to elucidate an in-depth understanding of existing laboratory test ordering and decision-making processes in the Emergency Department, serving to inform the development of a relevant and practicable solution. Health researchers and digital health developers can draw on this approach to inform research planning activities for health information technology intervention design projects and can follow the developmental journey of ED POST as its outcomes are reported in the literature.","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135396527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usability evaluation of interoperability interfaces in electronic medical record systems","authors":"N. Mehmood, Syed Z. Mahfooz, Saeed Faroom, Steffen Mencke, Nafees Qamar","doi":"10.1007/s10742-023-00312-3","DOIUrl":"https://doi.org/10.1007/s10742-023-00312-3","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"84 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85972585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Matching on propensity and prognostic scores can lead to different estimates of heterogeneous treatment effects: a case study and simulation","authors":"D. Kabata, Y. Gon, A. Shintani","doi":"10.1007/s10742-023-00313-2","DOIUrl":"https://doi.org/10.1007/s10742-023-00313-2","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"145 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73252059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}