Development of a comorbidity index using physician claims data.
By C. Klabunde, A. Potosky, J. Legler, J. Warren. 2000
1,817 citations recorded by the source corpus.
Subfields: Epidemiology, General Health Professions, Health Information Management
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Citations in the corpus
- Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time (2018, methodology): “For example, EHR data have been widely used in various healthcare research tasks such as risk prediction [15, 16, 33], retrospective epidemiologic studies [17, 26, 29] and phenotyping [12, 31].”
- Association of nonalcoholic fatty liver disease (NAFLD) with hepatocellular carcinoma (HCC) in the United States from 2004 to 2009 (2015, methodology): “The modified Charlson comorbidity index (CCI) for comorbidities was used to assess comorbidities in this study.(10) Furthermore, we identified medical diagnoses using the International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes.”
- Cardiovascular disease competes with breast cancer as the leading cause of death for older females diagnosed with breast cancer: a retrospective cohort study (2011, methodology): “[16] to be used with administrative claims data.”
- Comparative effectiveness of minimally invasive vs open radical prostatectomy. (2009, methodology): “Comorbidity using the Klabunde modification of the Charlson index and preoperative diagnoses of incontinence and erectile dysfunction were captured based on inpatient, outpatient, and carrier claims during the year before surgery.(25) We controlled for baseline incontinence and erectile dysfunction ”
- Annual Report to the Nation on the Status of Cancer, 1975-2010, Featuring Prevalence of Comorbidity and Impact on Survival among Persons with Lung, Colorectal, Breast or Prostate Cancer (2013, methodology): “One of the most widely used data sources for research on cancer treatment and outcomes is the SEER-Medicare database used in this report, in which detailed information on cancer treatment, as well as comorbidity, can be derived from claims records of Medicare enrollees.(44,45) Each data source and s”
- Trends in the aggressiveness of cancer care near the end of life. (2004, methodology): “Comorbidities were identified by looking for diagnostic billing codes for various conditions during the year before diagnosis of cancer using the Deyo implementation [21] of the Charlson score [22] applied to both inpatient and outpatient claims, as suggested by Klabunde [23].”
- The development of a comorbidity index with physical function as the outcome. (2005, neutral): “Twenty-five [2,15–38] comorbidity indices were identified through MEDLINE using the search terms “comorbidity,” “measurement,” “index,” in combination with “physical function,” and “development.”
- Early discontinuation and nonadherence to adjuvant hormonal therapy in a cohort of 8,769 early-stage breast cancer patients. (2010, methodology): “Comorbid Disease To assess the prevalence of comorbid disease in our cohort, we used the Klabunde adaptation of the Charlson comorbidity index.(29,30) KPNC inpatient and outpatient claims were searched for ICD-9-Clinical Modification (ICD9-CM) diagnostic codes.”
- Anticipating the ‘Silver Tsunami’: Prevalence Trajectories and Co-Morbidity Burden Among Older Cancer Survivors in the United States (2016, methodology): “We ascertained 16 comorbid conditions described by Charlson and colleagues (21) using similar procedures developed by Klabunde and colleagues (22, 23).”
- Comorbidity Indices to Predict Mortality From Medicare Data: Results From the National Registry of Atrial Fibrillation (2005, methodology): “The base model included 3 variables: age, race, and gender, which commonly are retained in mortality models.(12,13) All 4 indices had standardized hazard ratios of 1.”