Literature DB >> 33003052

Development and Testing of Compatible Diagnosis Code Lists for the Functional Comorbidity Index: International Classification of Diseases, Ninth Revision, Clinical Modification and International Classification of Diseases, 10th Revision, Clinical Modification.

Jeanne M Sears1,2,3,4, Sean D Rundell1,5,6.   

Abstract

BACKGROUND: The Functional Comorbidity Index (FCI) was developed for community-based adult populations, with function as the outcome. The original FCI was a survey tool, but several International Classification of Diseases (ICD) code lists-for calculating the FCI using administrative data-have been published. However, compatible International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and ICD-10-CM versions have not been available.
OBJECTIVE: We developed ICD-9-CM and ICD-10-CM diagnosis code lists to optimize FCI concordance across ICD lexicons. RESEARCH
DESIGN: We assessed concordance and frequency distributions across ICD lexicons for the FCI and individual comorbidities. We used length of stay and discharge disposition to assess continuity of FCI criterion validity across lexicons.
SUBJECTS: State Inpatient Databases from Arizona, Colorado, Michigan, New Jersey, New York, Utah, and Washington State (calendar year 2015) were obtained from the Healthcare Cost and Utilization Project. State Inpatient Databases contained ICD-9-CM diagnoses for the first 3 calendar quarters of 2015 and ICD-10-CM diagnoses for the fourth quarter of 2015. Inpatients under 18 years old were excluded. MEASURES: Length of stay and discharge disposition outcomes were assessed in separate regression models. Covariates included age, sex, state, ICD lexicon, and FCI/lexicon interaction.
RESULTS: The FCI demonstrated stability across lexicons, despite small discrepancies in prevalence for individual comorbidities. Under ICD-9-CM, each additional comorbidity was associated with an 8.9% increase in mean length of stay and an 18.5% decrease in the odds of a routine discharge, compared with an 8.4% increase and 17.4% decrease, respectively, under ICD-10-CM.
CONCLUSION: This study provides compatible ICD-9-CM and ICD-10-CM diagnosis code lists for the FCI.

Entities:  

Mesh:

Year:  2020        PMID: 33003052      PMCID: PMC7717170          DOI: 10.1097/MLR.0000000000001420

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   3.178


  31 in total

1.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.

Authors:  R A Deyo; D C Cherkin; M A Ciol
Journal:  J Clin Epidemiol       Date:  1992-06       Impact factor: 6.437

Review 2.  A systematic review identifies valid comorbidity indices derived from administrative health data.

Authors:  Marko Yurkovich; J Antonio Avina-Zubieta; Jamie Thomas; Mike Gorenchtein; Diane Lacaille
Journal:  J Clin Epidemiol       Date:  2014-10-31       Impact factor: 6.437

3.  Impact of comorbidities and functional impairment on 5-year loss of health utility in patients with lower-limb osteoarthritis in the KHOALA cohort.

Authors:  Abdou Y Omorou; Hamza Achit; Maud Wieczorek; Jacques Pouchot; Bruno Fautrel; Anne-Christine Rat; Francis Guillemin
Journal:  Qual Life Res       Date:  2019-07-04       Impact factor: 4.147

4.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

Review 5.  Systematic review of comorbidity indices for administrative data.

Authors:  Mansour T A Sharabiani; Paul Aylin; Alex Bottle
Journal:  Med Care       Date:  2012-12       Impact factor: 2.983

6.  The association of comorbid conditions with patient-reported outcomes in Veterans with hip and knee osteoarthritis.

Authors:  Leah L Zullig; Hayden B Bosworth; Amy S Jeffreys; Leonor Corsino; Cynthia J Coffman; Eugene Z Oddone; William S Yancy; Kelli D Allen
Journal:  Clin Rheumatol       Date:  2014-06-12       Impact factor: 2.980

7.  The Economic Effect of Chronic Comorbidities in Carpal Tunnel Syndrome Workers' Compensation Claimants, Washington State.

Authors:  Jennifer L Marcum; Anne McHugh; Michael Foley; Darrin Adams; David Bonauto
Journal:  J Occup Environ Med       Date:  2018-12       Impact factor: 2.162

8.  Impact of transfer status on hospitalization cost and discharge disposition for acute ischemic stroke across the US.

Authors:  Ashish Sonig; Ning Lin; Chandan Krishna; Sabareesh K Natarajan; Maxim Mokin; L Nelson Hopkins; Kenneth V Snyder; Elad I Levy; Adnan H Siddiqui
Journal:  J Neurosurg       Date:  2015-10-09       Impact factor: 5.115

9.  Risk adjustment of Medicare capitation payments using the CMS-HCC model.

Authors:  Gregory C Pope; John Kautter; Randall P Ellis; Arlene S Ash; John Z Ayanian; Lisa I Lezzoni; Melvin J Ingber; Jesse M Levy; John Robst
Journal:  Health Care Financ Rev       Date:  2004

10.  Frailty Index and functional level upon admission predict hospital outcomes: an interRAI-based cohort study of older patients in post-acute care hospitals.

Authors:  Hanna Kerminen; Heini Huhtala; Pirkko Jäntti; Jaakko Valvanne; Esa Jämsen
Journal:  BMC Geriatr       Date:  2020-05-05       Impact factor: 3.921

View more
  4 in total

1.  Differential underestimation of work-related reinjury risk for older workers: Challenges to producing accurate rate estimates.

Authors:  Jeanne M Sears; Deborah Fulton-Kehoe; Sheilah Hogg-Johnson
Journal:  Am J Ind Med       Date:  2022-06-04       Impact factor: 3.079

2.  Evaluating the Association Between Hearing Loss and Falls in Adults With Vestibular Dysfunction or Nonvestibular Dizziness.

Authors:  Ryan J Huang; Carl F Pieper; Heather E Whitson; Douglas B Garrison; Juliessa M Pavon; Kristal M Riska
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

3.  Estimating time to reinjury among Washington State injured workers by degree of permanent impairment: Using state wage data to adjust for time at risk.

Authors:  Jeanne M Sears; Beryl A Schulman; Deborah Fulton-Kehoe; Sheilah Hogg-Johnson
Journal:  Am J Ind Med       Date:  2020-11-18       Impact factor: 2.214

4.  Initial return to work and long-term employment patterns: Associations with work-related permanent impairment and with participation in workers' compensation-based return-to-work programs.

Authors:  Jeanne M Sears; Deborah Fulton-Kehoe; Sheilah Hogg-Johnson
Journal:  Am J Ind Med       Date:  2021-02-22       Impact factor: 3.079

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.