Literature DB >> 25880486

The use of claims data algorithms to recruit eligible participants into clinical trials.

Leonardo Tamariz1, Ana Palacio, Jennifer Denizard, Yvonne Schulman, Gabriel Contreras.   

Abstract

OBJECTIVES: Recruitment strategies usually focused on a single International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code and rarely included exclusion criteria. The purpose of this study was to validate a claims-based algorithm to identify, from Veterans Affairs administrative data, eligible participants to be recruited into a hypertension trial. STUDY
DESIGN: Cross-sectional.
METHODS: Subjects were labeled as eligible if they were 75 years or older, had a hypertension ICD-9-CM code (401.x-405.x, 437.2) and did not have a diabetes (250.xx) or stroke (430.x-436.x, 437.1, 437.9, 438.x) ICD-9-CM code. We compared the eligible subjects with the medical record-which was considered the gold standard-and we calculated the positive predictive value (PPV) of identifying a subject in the medical record.
RESULTS: The algorithm identified 3591 elderly veterans with hypertension with no diabetes or stroke, and we reviewed the medical records of 76 randomly selected patients. In the sample of medical record review, the mean age in years was 83 ± 5.3, 48% had coronary artery disease, and the mean systolic blood pressure was 134 mm Hg ± 15.5. When compared with the medical record, the PPV for any hypertension code was 93% (95% CI, 85%-98%), and for the entire algorithm, including 75 years or older and the absence of both diabetes and stroke, the PPV was 83% (95% CI, 73%-91%).
CONCLUSIONS: The use of any ICD-9-CM code for hypertension is useful to identify elderly patients with hypertension. The algorithm to identify elderly patients with hypertension and without diabetes or stroke is a useful tool to also identify eligible patients for clinical trial participation.

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Mesh:

Year:  2015        PMID: 25880486

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  3 in total

1.  Minority Veterans Are More Willing to Participate in Complex Studies Compared to Non-minorities.

Authors:  Leonardo Tamariz; Irene Kirolos; Fiorella Pendola; Erin N Marcus; Olveen Carrasquillo; Jimmy Rivadeneira; Ana Palacio
Journal:  J Bioeth Inq       Date:  2017-12-19       Impact factor: 1.352

2.  Heart failure risk in systemic lupus erythematosus compared to diabetes mellitus and general medicaid patients.

Authors:  Sarah K Chen; Medha Barbhaiya; Michael A Fischer; Hongshu Guan; Kazuki Yoshida; Candace H Feldman; Karen H Costenbader; Brendan M Everett
Journal:  Semin Arthritis Rheum       Date:  2019-06-11       Impact factor: 5.532

Review 3.  Comprehensive review of ICD-9 code accuracies to measure multimorbidity in administrative data.

Authors:  Melissa Y Wei; Jamie E Luster; Chiao-Li Chan; Lillian Min
Journal:  BMC Health Serv Res       Date:  2020-06-01       Impact factor: 2.655

  3 in total

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