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Association Between Symptoms of Patients With Heart Failure and Patient Outcomes Based on Electronic Nursing Records

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dc.contributor.authorBaik, Seung Yeon-
dc.contributor.authorRyu, Gi Wook-
dc.contributor.authorLee, Hyang Kyu-
dc.contributor.authorLee, Siwook-
dc.contributor.authorChoi, Mo na-
dc.date.accessioned2022-05-09T16:52:27Z-
dc.date.available2022-05-09T16:52:27Z-
dc.date.created2022-05-24-
dc.date.issued2021-12-
dc.identifier.issn1538-2931-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/188256-
dc.description.abstractWe examined the association between symptoms (ie, dyspnea and pain) and patient outcomes (ie, length of stay, 30-day readmission, and death in hospital) among patients with heart failure using EMRs. This was a descriptive study that was conducted from July 1, 2014, to November 30, 2017. Participants were 754 hospitalized patients with heart failure (mean age, 70.62 +/- 14.78 years; male-to-female ratio, 1:1.1). Data were analyzed using descriptive statistics, chi(2) tests, and logistic regression analyses. Patients' average length of stay was 8.92 +/- 13.12 days. Thirty-two patients (4.2%) were readmitted, and 100 patients (13.3%) died during hospitalization. Two-thirds (67.7%) experienced dyspnea, and 367 (48.7%) experienced pain. Symptoms and ICU admission were significantly related to patient outcomes. In the regression analyses, dyspnea, pain, and ICU admission were significantly related to higher-than-average lengths of stay. Dyspnea and ICU admission were related to death in hospital. Information regarding patients' symptoms, which was extracted from records, was a valuable resource in examining the relationship between symptoms and patient outcomes. The use of EMRs may be more advantageous than self-reported surveys when examining patients' symptom and utilizing big data.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfCIN - Computers Informatics Nursing-
dc.relation.isPartOfCIN-COMPUTERS INFORMATICS NURSING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleAssociation Between Symptoms of Patients With Heart Failure and Patient Outcomes Based on Electronic Nursing Records-
dc.typeArticle-
dc.contributor.collegeCollege of Nursing (간호대학)-
dc.contributor.departmentDept. of Nursing (간호학과)-
dc.contributor.googleauthorBaik, Seung Yeon-
dc.contributor.googleauthorRyu, Gi Wook-
dc.contributor.googleauthorLee, Hyang Kyu-
dc.contributor.googleauthorLee, Siwook-
dc.contributor.googleauthorChoi, Mo na-
dc.identifier.doi10.1097/CIN.0000000000000763-
dc.relation.journalcodeJ00639-
dc.identifier.eissn1538-9774-
dc.subject.keywordHeart failure-
dc.subject.keywordLength of stay-
dc.subject.keywordMortality-
dc.subject.keywordPatient readmission-
dc.subject.keywordSigns and symptoms-
dc.contributor.alternativeNameLee, Hyang Kyu-
dc.contributor.affiliatedAuthorBaik, Seung Yeon-
dc.contributor.affiliatedAuthorRyu, Gi Wook-
dc.contributor.affiliatedAuthorLee, Hyang Kyu-
dc.contributor.affiliatedAuthorLee, Siwook-
dc.contributor.affiliatedAuthorChoi, Mo na-
dc.identifier.scopusid2-s2.0-85121424585-
dc.identifier.wosid000727623100025-
dc.citation.volume39-
dc.citation.number12-
dc.citation.startPage1027-
dc.citation.endPage1034-
dc.identifier.bibliographicCitationCIN - Computers Informatics Nursing, Vol.39(12) : 1027-1034, 2021-12-
dc.identifier.rimsid74022-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorHeart failure-
dc.subject.keywordAuthorLength of stay-
dc.subject.keywordAuthorMortality-
dc.subject.keywordAuthorPatient readmission-
dc.subject.keywordAuthorSigns and symptoms-
dc.subject.keywordPlusPAIN ASSESSMENT-
dc.subject.keywordPlusADULTS-
dc.subject.keywordPlusTRENDS-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMedical Informatics-
dc.relation.journalWebOfScienceCategoryNursing-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMedical Informatics-
dc.relation.journalResearchAreaNursing-
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers

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