David E Marcozzi, Ricardo Pietrobon, James V Lawler, Michael T French, Carter Mecher, John Peffer, Nicole E Baehr, Brian J Browne
{"title":"利用全国医院调查编制医院医疗激增准备指数。","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":null,"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":1.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10742-020-00208-6","citationCount":"12","resultStr":"{\"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\":null,\"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\":1.6000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s10742-020-00208-6\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Services and Outcomes Research Methodology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s10742-020-00208-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/2/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services and Outcomes Research Methodology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s10742-020-00208-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/2/14 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Development of a Hospital Medical Surge Preparedness Index using a national hospital survey.
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.
期刊介绍:
The journal reflects the multidisciplinary nature of the field of health services and outcomes research. It addresses the needs of multiple, interlocking communities, including methodologists in statistics, econometrics, social and behavioral sciences; designers and analysts of health policy and health services research projects; and health care providers and policy makers who need to properly understand and evaluate the results of published research. The journal strives to enhance the level of methodologic rigor in health services and outcomes research and contributes to the development of methodologic standards in the field. In pursuing its main objective, the journal also provides a meeting ground for researchers from a number of traditional disciplines and fosters the development of new quantitative, qualitative, and mixed methods by statisticians, econometricians, health services researchers, and methodologists in other fields. Health Services and Outcomes Research Methodology publishes: Research papers on quantitative, qualitative, and mixed methods; Case Studies describing applications of quantitative and qualitative methodology in health services and outcomes research; Review Articles synthesizing and popularizing methodologic developments; Tutorials; Articles on computational issues and software reviews; Book reviews; and Notices. Special issues will be devoted to papers presented at important workshops and conferences.