{"title":"A chat with Daniel Polsky","authors":"N. Mitra","doi":"10.1007/s10742-020-00209-5","DOIUrl":"https://doi.org/10.1007/s10742-020-00209-5","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"6 1","pages":"1-7"},"PeriodicalIF":1.5,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73453323","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}
Bo Chen, Kristen McAlpine, K. Lawson, Antonio Finelli, O. Saarela
{"title":"Hierarchical causal variance decomposition for institution and provider comparisons in healthcare","authors":"Bo Chen, Kristen McAlpine, K. Lawson, Antonio Finelli, O. Saarela","doi":"10.1007/s10742-023-00301-6","DOIUrl":"https://doi.org/10.1007/s10742-023-00301-6","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"64 1","pages":"391 - 415"},"PeriodicalIF":1.5,"publicationDate":"2020-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88372448","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":"Hospital quality-review spending and patient safety: a longitudinal analysis using instrumental variables","authors":"L. Dynan, Richard B. Smith","doi":"10.1007/s10742-021-00251-x","DOIUrl":"https://doi.org/10.1007/s10742-021-00251-x","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"58 1","pages":"16-48"},"PeriodicalIF":1.5,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79461208","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}
Kelly L. Stolzmann, R. Lew, Christopher J. Miller, Bo Kim, Hongsheng Wu, M. Bauer
{"title":"Does balancing site characteristics result in balanced population characteristics in a cluster-randomized controlled trial?","authors":"Kelly L. Stolzmann, R. Lew, Christopher J. Miller, Bo Kim, Hongsheng Wu, M. Bauer","doi":"10.1007/s10742-022-00271-1","DOIUrl":"https://doi.org/10.1007/s10742-022-00271-1","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"91 1","pages":"469 - 478"},"PeriodicalIF":1.5,"publicationDate":"2020-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82635355","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}
David E Marcozzi, Ricardo Pietrobon, James V Lawler, Michael T French, Carter Mecher, John Peffer, Nicole E Baehr, Brian J Browne
{"title":"Development of a Hospital Medical Surge Preparedness Index using a national hospital survey.","authors":"David E Marcozzi, Ricardo Pietrobon, James V Lawler, Michael T French, Carter Mecher, John Peffer, Nicole E Baehr, Brian J Browne","doi":"10.1007/s10742-020-00208-6","DOIUrl":"https://doi.org/10.1007/s10742-020-00208-6","url":null,"abstract":"<p><p>To generate a Hospital Medical Surge Preparedness Index that can be used to evaluate hospitals across the United States in regard to their capacity to handle patient surges during mass casualty events. Data from the American Hospital Association's annual survey, conducted from 2005 to 2014. Our sample comprised 6239 hospitals across all 50 states, with an annual average of 5769 admissions. An extensive review of the American Hospital Association survey was conducted and relevant variables applicable to hospital inpatient services were extracted. Subject matter experts then categorized these items according to the following subdomains of the \"Science of Surge\" construct: staff, supplies, space, and system. The variables within these categories were then analyzed through exploratory and confirmatory factor analyses, concluding with the evaluation of internal reliability. Based on the combined results, we generated individual (by hospital) scores for each of the four metrics and an overall score. The exploratory factor analysis indicated a clustering of variables consistent with the \"Science of Surge\" subdomains, and this finding was in agreement with the statistics generated through the confirmatory factor analysis. We also found high internal reliability coefficients, with Cronbach's alpha values for all constructs exceeding 0.9. A novel Hospital Medical Surge Preparedness Index linked to hospital metrics has been developed to assess a health care facility's capacity to manage patients from mass casualty events. This index could be used by hospitals and emergency management planners to assess a facility's readiness to provide care during disasters.</p>","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"20 1","pages":"60-83"},"PeriodicalIF":1.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10742-020-00208-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37959817","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":"A conversation with Thomas (Tom) R. Belin- 2020 HPSS long-term excellence award winner.","authors":"Ofer Harel, Corwin Zigler","doi":"10.1007/s10742-020-00212-w","DOIUrl":"https://doi.org/10.1007/s10742-020-00212-w","url":null,"abstract":"<p><p>At the 2020 International Conference on Health Policy Statistics held in San Diego, Thomas (Tom) R. Belin was awarded the Long-Term Excellence Award from the Health Policy Statistics Section of the American Statistical Association. Dr. Belin was exceptionally and uniquely qualified for this award. Highlights include his innovative statistical applications for health care research and his substantial contributions to the statistics and health policy communities through mentoring and service. In this interview, we asked Tom to share stories about his upbringing, schooling, and career phases to gain insights into his numerous achievements.</p>","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"20 4","pages":"195-207"},"PeriodicalIF":1.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10742-020-00212-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38302394","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":"Reproductive coercion sometimes works: evaluating whether young African-American women who experience reproductive coercion or birth control sabotage are more likely to become pregnant.","authors":"Janet E Rosenbaum, Ralph J DiClemente","doi":"10.1007/s10742-020-00213-9","DOIUrl":"https://doi.org/10.1007/s10742-020-00213-9","url":null,"abstract":"<p><p>Men engaging in reproductive coercion may coerce, force, or deceive female partners into pregnancy. This study evaluates whether the 3-month incidence of pregnancy is higher among women reporting reproductive coercion than similar women reporting no reproductive coercion. We tested this hypothesis in longitudinal data from a sample of African-American women ages 18-24 recruited from community settings in Atlanta, Georgia, US, in 2012-2014 (n = 560). Participants were surveyed at baseline, 3 months, 6 months, 9 months, and 12 months. To reduce selection bias, we used full matching on 22 baseline variables related to demographics, economic power, risky alcohol use, and gender-based power inequality. We used logistic regression in the matched sample with outcome pregnancy 3 months later, controlling for baseline fertility intentions (n = 482, n = 458, n = 452 at respectively 3, 6, 9 months). At 3 months, 15% of women reported reproductive coercion. At 6 months, 11.3% of women reporting coercion were pregnant vs. 4.6% of matched women reporting no coercion (<i>p</i> = 0.06). Women reporting coercion had 3 times the odds of pregnancy as matched women reporting no coercion (AOR 2.95, 95% CI (1.16, 6.98), <i>p</i> = 0.02). Among women pregnant after coercion, only 15% wanted to be pregnant then or sooner. Women reporting reproductive coercion are at greater risk of unwanted or mistimed pregnancies, and the semen exposure that caused these pregnancies could also transmit STI/HIV. Clinicians should screen patients for reproductive coercion; consider using semen exposure biomarkers such as PSA or Yc-PCR to identify condom sabotage or stealthing; and refer women experiencing reproductive coercion to supportive services.</p>","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"20 4","pages":"265-282"},"PeriodicalIF":1.5,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10742-020-00213-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38302395","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}
Yingjie Li, Liangliang Zhang, A. Bozoki, David C. Zhu, Jongeun Choi, T. Maiti
{"title":"Early prediction of Alzheimer’s disease using longitudinal volumetric MRI data from ADNI","authors":"Yingjie Li, Liangliang Zhang, A. Bozoki, David C. Zhu, Jongeun Choi, T. Maiti","doi":"10.1007/s10742-019-00206-3","DOIUrl":"https://doi.org/10.1007/s10742-019-00206-3","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"1 1","pages":"13-39"},"PeriodicalIF":1.5,"publicationDate":"2019-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83538501","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 quality of hospital care using time-to-event endpoints based on patient follow-up data","authors":"J. Hengelbrock, M. Höhle","doi":"10.1007/s10742-019-00202-7","DOIUrl":"https://doi.org/10.1007/s10742-019-00202-7","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"215 1","pages":"197 - 214"},"PeriodicalIF":1.5,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76547175","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 efficiency of English acute foundation trusts under system reform: a two-stage DEA approach","authors":"K. Thai, M. Noguchi","doi":"10.1007/s10742-019-00203-6","DOIUrl":"https://doi.org/10.1007/s10742-019-00203-6","url":null,"abstract":"","PeriodicalId":45600,"journal":{"name":"Health Services and Outcomes Research Methodology","volume":"39 1","pages":"215 - 240"},"PeriodicalIF":1.5,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78153708","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}