Identifying Patients With Severe Sepsis Using Administrative Claims

التفاصيل البيبلوغرافية
العنوان: Identifying Patients With Severe Sepsis Using Administrative Claims
المؤلفون: Lena Chen, Theodore J. Iwashyna, Jeffrey M. Rohde, Catherine A. Bonham, Andrew Odden, Preeti N. Malani, Latoya Kuhn, Scott A. Flanders
المصدر: Medical Care. 52:e39-e43
بيانات النشر: Ovid Technologies (Wolters Kluwer Health), 2014.
سنة النشر: 2014
مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Validation study, Multiple Organ Failure, MEDLINE, macromolecular substances, Medicare, Article, Diagnosis, Differential, Sepsis, Insurance Claim Review, International Classification of Diseases, medicine, Health Status Indicators, Humans, Intensive care medicine, Severe sepsis, Aged, Academic Medical Centers, business.industry, Extramural, Guideline adherence, musculoskeletal, neural, and ocular physiology, Health Plan Implementation, Public Health, Environmental and Occupational Health, Consensus conference, Middle Aged, medicine.disease, Shock, Septic, United States, Administrative claims, Hospitalization, nervous system, Female, Guideline Adherence, business, Algorithms
الوصف: Severe sepsis is a common and costly problem. Although consistently defined clinically by consensus conference since 1991, there have been several different implementations of the severe sepsis definition using ICD-9-CM codes for research. We conducted a single center, patient-level validation of 1 common implementation of the severe sepsis definition, the so-called "Angus" implementation.Administrative claims for all hospitalizations for patients initially admitted to general medical services from an academic medical center in 2009-2010 were reviewed. On the basis of ICD-9-CM codes, hospitalizations were sampled for review by 3 internal medicine-trained hospitalists. Chart reviews were conducted with a structured instrument, and the gold standard was the hospitalists' summary clinical judgment on whether the patient had severe sepsis.Three thousand one hundred forty-six (13.5%) hospitalizations met ICD-9-CM criteria for severe sepsis by the Angus implementation (Angus-positive) and 20,142 (86.5%) were Angus-negative. Chart reviews were performed for 92 randomly selected Angus-positive and 19 randomly-selected Angus-negative hospitalizations. Reviewers had a κ of 0.70. The Angus implementation's positive predictive value was 70.7% [95% confidence interval (CI): 51.2%, 90.5%]. The negative predictive value was 91.5% (95% CI: 79.0%, 100%). The sensitivity was 50.4% (95% CI: 14.8%, 85.7%). Specificity was 96.3% (95% CI: 92.4%, 100%). Two alternative ICD-9-CM implementations had high positive predictive values but sensitivities of20%.The Angus implementation of the international consensus conference definition of severe sepsis offers a reasonable but imperfect approach to identifying patients with severe sepsis when compared with a gold standard of structured review of the medical chart by trained hospitalists.
تدمد: 0025-7079
DOI: 10.1097/mlr.0b013e318268ac86
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70a939a1d2b3aeadc8ebf27b78639fea
https://doi.org/10.1097/mlr.0b013e318268ac86
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....70a939a1d2b3aeadc8ebf27b78639fea
قاعدة البيانات: OpenAIRE
الوصف
تدمد:00257079
DOI:10.1097/mlr.0b013e318268ac86