Literature DB >> 8675436

Using physician claims to identify postoperative complications of carotid endarterectomy.

J B Mitchell1, D J Ballard, J P Whisnant, C J Ammering, D B Matchar, G P Samsa.   

Abstract

OBJECTIVE: This study develops a methodology for identifying complications following carotid endarterectomy, using physician claims data. DATA SOURCES/STUDY
SETTING: We selected a random 20 percent sample of Medicare patients undergoing carotid endarterectomy in 1991 (n = 8,345) and extracted all of their claims. STUDY
DESIGN: Project neurologists identified the following services as indicative of complications following carotid endarterectomy if they were provided within 30 days of surgery: head CT, head MRI, and surgical exploration of the neck for hemorrhage, thrombosis, or infection. DATA COLLECTION/EXTRACTION
METHODS: Total costs were calculated from all claims associated with the hospitalization and the 30-day postoperative period. Outcomes included mortality (obtained from Medicare eligibility files), length of stay, discharge to an institution, and readmission to an acute care hospital (the latter obtained from claims data). PRINCIPAL
FINDINGS: Surgical complications were identified in one out of every ten endarterectomy patients (10.3 percent). Patients with complications were significantly more likely to die within 30 days of surgery (8.9 percent, compared with 1.1 percent of those not experiencing complications). They also were significantly more likely to be discharged to an institutional setting (24.9 percent versus 2.9 percent), and more likely to be readmitted to acute care hospitals (26.8 percent versus 8.2 percent). Patients with postoperative complications also were significantly more expensive: $22,187 versus $10,892.
CONCLUSION: Our findings suggest that physician claims could be used by PROs or similar entities as a screening tool to identify potential problem hospitals or problem surgeons. First, however, the methodology would need to be clinically validated.

Entities:  

Mesh:

Year:  1996        PMID: 8675436      PMCID: PMC1070110     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  11 in total

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Authors:  R A Deyo; D C Cherkin; M A Ciol
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Journal:  JAMA       Date:  1987-08-14       Impact factor: 56.272

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6.  Using Medicare claims for outcomes research.

Authors:  J B Mitchell; T Bubolz; J E Paul; C L Pashos; J J Escarce; L H Muhlbaier; J M Wiesman; W W Young; R S Epstein; J C Javitt
Journal:  Med Care       Date:  1994-07       Impact factor: 2.983

7.  Carotid endarterectomy for elderly patients: predicting complications.

Authors:  R H Brook; R E Park; M R Chassin; J Kosecoff; J Keesey; D H Solomon
Journal:  Ann Intern Med       Date:  1990-11-15       Impact factor: 25.391

8.  Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality?

Authors:  L I Iezzoni; S M Foley; J Daley; J Hughes; E S Fisher; T Heeren
Journal:  JAMA       Date:  1992 Apr 22-29       Impact factor: 56.272

9.  Assessing hospital-associated deaths from discharge data. The role of length of stay and comorbidities.

Authors:  S F Jencks; D K Williams; T L Kay
Journal:  JAMA       Date:  1988-10-21       Impact factor: 56.272

10.  Predicting complications of carotid endarterectomy.

Authors:  D C McCrory; L B Goldstein; G P Samsa; E Z Oddone; P B Landsman; W S Moore; D B Matchar
Journal:  Stroke       Date:  1993-09       Impact factor: 7.914

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3.  Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data.

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