Literature DB >> 10465320

Frailty bias in comorbidity risk adjustments of community-dwelling elderly populations.

J C Pressley1, C H Patrick.   

Abstract

Our objective was to describe distortion in outcome studies due to "frailty bias" or differential susceptibility to adverse health outcomes due to frailties but attributed to other factors. We linked an administrative database to survey data (n = 5934) containing functional, condition, and outcome measures. The disease classification scheme of an empirically derived mortality model was used to categorize 7500 ICD-9-CM codes into five risk levels. Cox and logistic regressions were used to compare outcomes. Commonly employed measures differ in their sensitivity to detect and control frailty bias across a spectrum of major chronic diseases. Survival is inversely related to increasing functional impairment after adjusting for age, race, gender, education, number of comorbid conditions, and highest disease risk occurring during follow-up. Functional status appears to be a superior and essential element for control of the frailty bias that threatens comparability of outcome measures across community-dwelling populations containing chronically-ill disabled elderly.

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Mesh:

Year:  1999        PMID: 10465320     DOI: 10.1016/s0895-4356(99)00056-6

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  6 in total

1.  Validation of a Claims-Based Frailty Index Against Physical Performance and Adverse Health Outcomes in the Health and Retirement Study.

Authors:  Dae Hyun Kim; Robert J Glynn; Jerry Avorn; Lewis A Lipsitz; Kenneth Rockwood; Ajinkya Pawar; Sebastian Schneeweiss
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-07-12       Impact factor: 6.053

2.  Constructs of burden of illness in older patients with breast cancer: a comparison of measurement methods.

Authors:  J S Mandelblatt; A S Bierman; K Gold; Y Zhang; J H Ng; N Maserejian; N Maserejan; Y T Hwang; N J Meropol; J Hadley; R A Silliman
Journal:  Health Serv Res       Date:  2001-12       Impact factor: 3.402

Review 3.  Measuring frailty using claims data for pharmacoepidemiologic studies of mortality in older adults: evidence and recommendations.

Authors:  Dae Hyun Kim; Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-06-24       Impact factor: 2.890

4.  Comorbid conditions and outcomes after percutaneous coronary intervention.

Authors:  M Singh; C S Rihal; V L Roger; R J Lennon; J Spertus; A Jahangir; D R Holmes
Journal:  Heart       Date:  2007-10-08       Impact factor: 5.994

5.  Validation of a method for identifying nursing home admissions using administrative claims.

Authors:  Ilene H Zuckerman; Masayo Sato; Van Doren Hsu; Jose J Hernandez
Journal:  BMC Health Serv Res       Date:  2007-12-10       Impact factor: 2.655

6.  Effects of impairment in activities of daily living on predicting mortality following hip fracture surgery in studies using administrative healthcare databases.

Authors:  Dallas P Seitz; Geoffrey M Anderson; Peter C Austin; Andrea Gruneir; Sudeep S Gill; Chaim M Bell; Paula A Rochon
Journal:  BMC Geriatr       Date:  2014-01-28       Impact factor: 3.921

  6 in total

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