@article{mehta_comparative_2016,
	title = {Comparative {Performance} of {Diagnosis}-based and {Prescription}-based {Comorbidity} {Scores} to {Predict} {Health}-related {Quality} of {Life}},
	volume = {54},
	issn = {1537-1948},
	doi = {10.1097/MLR.0000000000000517},
	abstract = {OBJECTIVES: To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure).
METHODS: The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R.
RESULTS: Of 140,046 adult participants, the study cohort included 7436 asthma (5.3\%), 1054 breast cancer (0.8\%), 13,829 diabetes (9.9\%), and 937 heart failure (0.7\%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7\%), breast cancer (31.7\%), diabetes (32.7\%), and heart failure (20.0\%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1\%; Elixhauser+CDS=19.6\%), breast cancer (HRQoL-CI+CDS=12.9\%; Elixhauser+CDS=14.1\%), diabetes (HRQoL-CI+CDS=17.7\%; Elixhauser+CDS=17.7\%), and heart failure (HRQoL-CI+CDS=18.1\%; Elixhauser+CDS=17.7\%).
CONCLUSIONS: HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.},
	language = {eng},
	number = {5},
	journal = {Medical Care},
	author = {Mehta, Hemalkumar B. and Sura, Sneha D. and Sharma, Manvi and Johnson, Michael L. and Riall, Taylor S.},
	month = may,
	year = {2016},
	pmid = {26918403},
	keywords = {Adolescent, Adult, Aged, Asthma, Breast Neoplasms, Chronic Disease, Comorbidity, Data Collection, Diabetes Mellitus, Female, Health Status, Heart Failure, Humans, Male, Middle Aged, Quality of Life, Retrospective Studies, Young Adult},
	pages = {519--527},
}

{"_id":"XqDMWAMYzMK2ZFSZk","bibbaseid":"mehta-sura-sharma-johnson-riall-comparativeperformanceofdiagnosisbasedandprescriptionbasedcomorbidityscorestopredicthealthrelatedqualityoflife-2016","downloads":0,"creationDate":"2017-01-15T23:18:10.798Z","title":"Comparative Performance of Diagnosis-based and Prescription-based Comorbidity Scores to Predict Health-related Quality of Life","author_short":["Mehta, H. B.","Sura, S. D.","Sharma, M.","Johnson, M. L.","Riall, T. S."],"year":2016,"bibtype":"article","biburl":"http://bibbase.org/zotero/hbmehta","bibdata":{"bibtype":"article","type":"article","title":"Comparative Performance of Diagnosis-based and Prescription-based Comorbidity Scores to Predict Health-related Quality of Life","volume":"54","issn":"1537-1948","doi":"10.1097/MLR.0000000000000517","abstract":"OBJECTIVES: To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure). METHODS: The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R. RESULTS: Of 140,046 adult participants, the study cohort included 7436 asthma (5.3%), 1054 breast cancer (0.8%), 13,829 diabetes (9.9%), and 937 heart failure (0.7%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7%), breast cancer (31.7%), diabetes (32.7%), and heart failure (20.0%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1%; Elixhauser+CDS=19.6%), breast cancer (HRQoL-CI+CDS=12.9%; Elixhauser+CDS=14.1%), diabetes (HRQoL-CI+CDS=17.7%; Elixhauser+CDS=17.7%), and heart failure (HRQoL-CI+CDS=18.1%; Elixhauser+CDS=17.7%). CONCLUSIONS: HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.","language":"eng","number":"5","journal":"Medical Care","author":[{"propositions":[],"lastnames":["Mehta"],"firstnames":["Hemalkumar","B."],"suffixes":[]},{"propositions":[],"lastnames":["Sura"],"firstnames":["Sneha","D."],"suffixes":[]},{"propositions":[],"lastnames":["Sharma"],"firstnames":["Manvi"],"suffixes":[]},{"propositions":[],"lastnames":["Johnson"],"firstnames":["Michael","L."],"suffixes":[]},{"propositions":[],"lastnames":["Riall"],"firstnames":["Taylor","S."],"suffixes":[]}],"month":"May","year":"2016","pmid":"26918403","keywords":"Adolescent, Adult, Aged, Asthma, Breast Neoplasms, Chronic Disease, Comorbidity, Data Collection, Diabetes Mellitus, Female, Health Status, Heart Failure, Humans, Male, Middle Aged, Quality of Life, Retrospective Studies, Young Adult","pages":"519–527","bibtex":"@article{mehta_comparative_2016,\n\ttitle = {Comparative {Performance} of {Diagnosis}-based and {Prescription}-based {Comorbidity} {Scores} to {Predict} {Health}-related {Quality} of {Life}},\n\tvolume = {54},\n\tissn = {1537-1948},\n\tdoi = {10.1097/MLR.0000000000000517},\n\tabstract = {OBJECTIVES: To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure).\nMETHODS: The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R.\nRESULTS: Of 140,046 adult participants, the study cohort included 7436 asthma (5.3\\%), 1054 breast cancer (0.8\\%), 13,829 diabetes (9.9\\%), and 937 heart failure (0.7\\%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7\\%), breast cancer (31.7\\%), diabetes (32.7\\%), and heart failure (20.0\\%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1\\%; Elixhauser+CDS=19.6\\%), breast cancer (HRQoL-CI+CDS=12.9\\%; Elixhauser+CDS=14.1\\%), diabetes (HRQoL-CI+CDS=17.7\\%; Elixhauser+CDS=17.7\\%), and heart failure (HRQoL-CI+CDS=18.1\\%; Elixhauser+CDS=17.7\\%).\nCONCLUSIONS: HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.},\n\tlanguage = {eng},\n\tnumber = {5},\n\tjournal = {Medical Care},\n\tauthor = {Mehta, Hemalkumar B. and Sura, Sneha D. and Sharma, Manvi and Johnson, Michael L. and Riall, Taylor S.},\n\tmonth = may,\n\tyear = {2016},\n\tpmid = {26918403},\n\tkeywords = {Adolescent, Adult, Aged, Asthma, Breast Neoplasms, Chronic Disease, Comorbidity, Data Collection, Diabetes Mellitus, Female, Health Status, Heart Failure, Humans, Male, Middle Aged, Quality of Life, Retrospective Studies, Young Adult},\n\tpages = {519--527},\n}\n\n","author_short":["Mehta, H. B.","Sura, S. D.","Sharma, M.","Johnson, M. L.","Riall, T. 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