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dc.contributor.authorOemrawsingh, A
dc.contributor.authorSwami, N
dc.contributor.authorValderas, JM
dc.contributor.authorHazelzet, JA
dc.contributor.authorPusic, AL
dc.contributor.authorGliklich, RE
dc.contributor.authorBergmark, RW
dc.date.accessioned2020-06-25T08:00:20Z
dc.date.issued2020-05-27
dc.description.abstractObjectives: Although comorbidities play an essential role in risk adjustment and outcomes measurement, there is little consensus regarding the best source of this data. The aim of this study was to identify general patient-reported morbidity instruments and their measurement properties. Methods: A systematic review was conducted using multiple electronic databases (Embase, Medline, Cochrane Central, and Web of Science) from inception to March 2018. Articles focusing primarily on the development or subsequent validation of a patient-reported morbidity instrument were included. After including relevant articles, the measurement properties of each morbidity instrument were extracted by 2 investigators for narrative synthesis. Results: A total of 1005 articles were screened, of which 34 eligible articles were ultimately included. The most widely assessed instruments were the Self-Reported Charlson Comorbidity Index (n = 7), the Self-Administered Comorbidity Questionnaire (n = 3), and the Disease Burden Morbidity Assessment (n = 3). The most commonly included conditions were diabetes, hypertension, and myocardial infarction. Studies demonstrated substantial variability in item-level reliability versus the gold standard medical record review (κ range 0.66-0.86), meaning that the accuracy of the self-reported comorbidity data is dependent on the selected morbidity. Conclusions: The Self-Reported Charlson Comorbidity Index and the Self-Administered Comorbidity Questionnaire were the most frequently cited instruments. Significant variability was observed in reliability per comorbid condition of patient-reported morbidity questionnaires. Further research is needed to determine whether patient-reported morbidity data should be used to bolster medical records data or serve as a stand-alone entity when risk adjusting observational outcomes data.en_GB
dc.description.sponsorshipFederation of Dutch University Medical Centers (NFU)en_GB
dc.description.sponsorshipGliklich Healthcare Innovation Scholar Fund/Massachusetts Eye and Ear Infirmaryen_GB
dc.description.sponsorshipAmerican Board of Medical Specialtiesen_GB
dc.identifier.citationVol.23 (6), pp. 791-811en_GB
dc.identifier.doi10.1016/j.jval.2020.02.006
dc.identifier.urihttp://hdl.handle.net/10871/121651
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights.embargoreasonPublisher policyen_GB
dc.rights© 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dc.subjectcomorbidityen_GB
dc.subjecthealth servicesen_GB
dc.subjectmorbidityen_GB
dc.subjectpatient reporten_GB
dc.subjectpsychometricsen_GB
dc.subjectself-reporten_GB
dc.subjectsurveys and questionnairesen_GB
dc.titlePatient-Reported Morbidity Instruments: A Systematic Reviewen_GB
dc.typeArticleen_GB
dc.date.available2020-06-25T08:00:20Z
dc.identifier.issn1098-3015
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalValue in Healthen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/  en_GB
dcterms.dateAccepted2020-02-27
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2020-02-27
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-06-23T09:18:51Z
refterms.versionFCDAM
refterms.panelAen_GB


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© 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/  
Except where otherwise noted, this item's licence is described as © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/