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2012년 흡연으로 인한 건강보험 진료비 추정 연구

DC Field Value Language
dc.contributor.author김희진-
dc.contributor.author정금지-
dc.contributor.author지선하-
dc.date.accessioned2015-12-28T11:10:23Z-
dc.date.available2015-12-28T11:10:23Z-
dc.date.issued2014-
dc.identifier.issn2287-3708-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/138852-
dc.description.abstractObjectives: This study is to identify the difference of hospital choice factors between internal and external customers at metropolitan and non-metropolitan hospitals. Methods: The questionnaires are used to collect data from internal customers(hospital employees) and external customers (patients). That is classified with 4 latent variables- such as, physical, human, accessibility, and connection factors. Total used cases are 98 patients and 96 employees on 2 hospitals-Hospital S, located in Seoul and 116 patients and 97 employees in Hospital C, located in non-metropolitan province. Multi group analysis and mean analysis in structural equation model (SEM) is used for analysis of difference between groups. Results: The hospital choice factors are different significantly between internal and external customers of Hospital C, while there is no gaps in Hospital S. And there is a gap of choice factor between external customers of Hospital S and Hospital C, but not between internal customers of the two hospitals. The internal customers in Hospital S have more accurate information about patient’s hospital choice factors than those in Hospital C. Specially, the internal customers in Hospital C are aware of that the human factor is more important choice factor than other factors. Conclusions: There are many hospital choice gaps between customers or hospital locations. So each hospital need to make more accurate measurement about customer need/behavior for higher customer satisfaction-
dc.description.statementOfResponsibilityopen-
dc.format.extent25~41-
dc.relation.isPartOfJournal of Health Informatics and Statistics (보건정보통계학회지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title2012년 흡연으로 인한 건강보험 진료비 추정 연구-
dc.title.alternativeSmoking Attributable Risk and Medical Care Cost in 2012 in Korea-
dc.typeArticle-
dc.contributor.collegeGraduate School of Public Health (보건대학원)-
dc.contributor.departmentGraduate School of Public Health (보건대학원)-
dc.contributor.googleauthor지선하-
dc.contributor.googleauthor정금지-
dc.contributor.googleauthor전티나-
dc.contributor.googleauthor김희진-
dc.contributor.googleauthor윤영덕-
dc.contributor.googleauthor김일순-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01226-
dc.contributor.localIdA03580-
dc.contributor.localIdA03965-
dc.relation.journalcodeJ01433-
dc.subject.keywordSmoking-
dc.subject.keywordRelative risk-
dc.subject.keywordAttributable risk-
dc.subject.keywordCosts-
dc.contributor.alternativeNameKimm, Hee Jin-
dc.contributor.alternativeNameJung, Keum Ji-
dc.contributor.alternativeNameJee, Sun Ha-
dc.contributor.affiliatedAuthorKimm, Hee Jin-
dc.contributor.affiliatedAuthorJung, Keum Ji-
dc.contributor.affiliatedAuthorJee, Sun Ha-
dc.citation.volume39-
dc.citation.number1-
dc.citation.startPage25-
dc.citation.endPage41-
dc.identifier.bibliographicCitationJournal of Health Informatics and Statistics (보건정보통계학회지), Vol.39(1) : 25-41, 2014-
dc.identifier.rimsid54968-
dc.type.rimsART-
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers

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