Literature DB >> 12101876

Using administrative data to study persons with disabilities.

Lisa I Iezzoni1.   

Abstract

Administrative data result from administering health plans--tracking service utilization, paying claims, monitoring costs and quality--and have been used extensively for health services research. This article examines the strengths and limitations of administrative data for health services research studies of people with disabilities. Administrative data offer important advantages: encompassing large populations over time, ready availability, low cost, and computer readability. Questions arise about how to identify people with disabilities, capture disability-related services, and determine meaningful health care outcomes. Potentially useful administrative data elements include eligibility for Medicare or Medicaid through Social Security disability determinations, diagnosis and procedure codes, pharmacy claims, and durable medical equipment claims. Linking administrative data to survey or other data sources enhances the utility of administrative data for disability studies.

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Year:  2002        PMID: 12101876      PMCID: PMC2690114          DOI: 10.1111/1468-0009.t01-1-00007

Source DB:  PubMed          Journal:  Milbank Q        ISSN: 0887-378X            Impact factor:   4.911


  75 in total

1.  Does clinical evidence support ICD-9-CM diagnosis coding of complications?

Authors:  E P McCarthy; L I Iezzoni; R B Davis; R H Palmer; M Cahalane; M B Hamel; K Mukamal; R S Phillips; D T Davies
Journal:  Med Care       Date:  2000-08       Impact factor: 2.983

2.  Functional status: the six vital sign.

Authors:  A S Bierman
Journal:  J Gen Intern Med       Date:  2001-11       Impact factor: 5.128

3.  Toward full mental health parity and beyond.

Authors:  D P Gitterman; R Sturm; R M Scheffler
Journal:  Health Aff (Millwood)       Date:  2001 Jul-Aug       Impact factor: 6.301

4.  Restructuring Medicare for the next century: what will beneficiaries really need?

Authors:  C K Cassel; R W Besdine; L C Siegel
Journal:  Health Aff (Millwood)       Date:  1999 Jan-Feb       Impact factor: 6.301

5.  The OBRA-87 nursing home regulations and implementation of the Resident Assessment Instrument: effects on process quality.

Authors:  C Hawes; V Mor; C D Phillips; B E Fries; J N Morris; E Steele-Friedlob; A M Greene; M Nennstiel
Journal:  J Am Geriatr Soc       Date:  1997-08       Impact factor: 5.562

6.  Predicting patient scores between the functional independence measure and the minimum data set: development and performance of a FIM-MDS "crosswalk".

Authors:  B C Williams; Y Li; B E Fries; R L Warren
Journal:  Arch Phys Med Rehabil       Date:  1997-01       Impact factor: 3.966

7.  Accuracy of diagnostic coding for Medicare patients under the prospective-payment system.

Authors:  D C Hsia; W M Krushat; A B Fagan; J A Tebbutt; R P Kusserow
Journal:  N Engl J Med       Date:  1988-02-11       Impact factor: 91.245

8.  High-expenditure children with Supplemental Security Income.

Authors:  K Kuhlthau; J M Perrin; S L Ettner; T J McLaughlin; S L Gortmaker
Journal:  Pediatrics       Date:  1998-09       Impact factor: 7.124

9.  Case mix of home health patients under capitated and fee-for-service payment.

Authors:  P W Shaughnessy; R E Schlenker; D F Hittle
Journal:  Health Serv Res       Date:  1995-04       Impact factor: 3.402

10.  Diagnosis-based risk adjustment for Medicare capitation payments.

Authors:  R P Ellis; G C Pope; L Iezzoni; J Z Ayanian; D W Bates; H Burstin; A S Ash
Journal:  Health Care Financ Rev       Date:  1996
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  35 in total

Review 1.  Meeting the health care needs of persons with disabilities.

Authors:  Carolyn M Clancy; Elena M Andresen
Journal:  Milbank Q       Date:  2002       Impact factor: 4.911

Review 2.  Can administrative claim file review be used to gather physical therapy, occupational therapy, and psychology payment data and functional independence measure scores? Implications for rehabilitation providers in the private health sector.

Authors:  Viivi Riis; Susan Jaglal; Kathryn Boschen; Jan Walker; Molly Verrier
Journal:  Physiother Can       Date:  2011-08-10       Impact factor: 1.037

3.  Combinations of Chronic Conditions, Functional Limitations, and Geriatric Syndromes that Predict Health Outcomes.

Authors:  Siran M Koroukian; Nicholas Schiltz; David F Warner; Jiayang Sun; Paul M Bakaki; Kathleen A Smyth; Kurt C Stange; Charles W Given
Journal:  J Gen Intern Med       Date:  2016-02-22       Impact factor: 5.128

4.  Predicting Disability among Community-Dwelling Medicare Beneficiaries Using Claims-Based Indicators.

Authors:  Yonatan Ben-Shalom; David C Stapleton
Journal:  Health Serv Res       Date:  2015-05-25       Impact factor: 3.402

5.  Identifying reproductive-aged women with physical and sensory disabilities in administrative health data: A systematic review.

Authors:  Hilary K Brown; Adele Carty; Susan M Havercamp; Susan Parish; Yona Lunsky
Journal:  Disabil Health J       Date:  2020-02-27       Impact factor: 2.554

6.  Epidemiology of Injury-Related Emergency Department Visits in the US Among Youth with Autism Spectrum Disorder.

Authors:  Luther G Kalb; Roma A Vasa; Elizabeth D Ballard; Steven Woods; Mitchell Goldstein; Holly C Wilcox
Journal:  J Autism Dev Disord       Date:  2016-08

7.  Use of an administrative database to determine clinical management and outcomes in congenital heart disease.

Authors:  Howard P Gutgesell; Diane G Hillman; Kimberly E McHugh; Peter Dean; G Paul Matherne
Journal:  World J Pediatr Congenit Heart Surg       Date:  2011-10-01

Review 8.  At the intersection of chronic disease, disability and health services research: A scoping literature review.

Authors:  Stephen P Gulley; Elizabeth K Rasch; Christina D Bethell; Adam C Carle; Benjamin G Druss; Amy J Houtrow; Amanda Reichard; Leighton Chan
Journal:  Disabil Health J       Date:  2018-01-10       Impact factor: 2.554

9.  Identifying Specific Combinations of Multimorbidity that Contribute to Health Care Resource Utilization: An Analytic Approach.

Authors:  Nicholas K Schiltz; David F Warner; Jiayang Sun; Paul M Bakaki; Avi Dor; Charles W Given; Kurt C Stange; Siran M Koroukian
Journal:  Med Care       Date:  2017-03       Impact factor: 2.983

10.  Depression following thrombotic cardiovascular events in elderly medicare beneficiaries: risk of morbidity and mortality.

Authors:  Christopher M Blanchette; Linda Simoni-Wastila; Fadia T Shaya; Denise Orwig; Jason Noel; Bruce Stuart
Journal:  Cardiol Res Pract       Date:  2009-12-22       Impact factor: 1.866

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