Literature DB >> 7457683

A comparison of medical record with billing diagnostic information associated with ambulatory medical care.

D R Studney, A R Hakstian.   

Abstract

The degree of similarity between diagnostic information furnished with claims and that simultaneously entered into the medical record was estimated for 1,215 private office visits in British Columbia, Canada. For each visit, claim card and chart diagnoses were compared by having three independent internists (blinded to source and type of the data) make judgments about each diagnostic pair. The judges were highly consistent internally and their judgments were stable over time. In 40 per cent of cases chart and claims data were judged dissimilar, and in 38 per cent of cases claims data were judged more valuable as a reflection of the primary problem treated. The degree of judged similarity of chart and claims data correlated significantly and negatively with physician workload, income, and judges' preference for the billing card diagnosis. We conclude that in using claims data to determine the content of ambulatory visits, independent validation of such data may be important.

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Year:  1981        PMID: 7457683      PMCID: PMC1619622          DOI: 10.2105/ajph.71.2.145

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  12 in total

Review 1.  The reliability of clinical methods, data and judgments (first of two parts).

Authors:  L M Koran
Journal:  N Engl J Med       Date:  1975-09-25       Impact factor: 91.245

2.  Validating the content of pediatric outpatient medical records by means of tape-recording doctor-patient encounters.

Authors:  Z E Zuckerman; B Starfield; C Hochreiter; B Kovasznay
Journal:  Pediatrics       Date:  1975-09       Impact factor: 7.124

3.  Office records in the evaluation of quality of care.

Authors:  H C Thompson; C E Osborne
Journal:  Med Care       Date:  1976-04       Impact factor: 2.983

4.  Studies on the reliability of vital and health records: I. Comparison of cause of death and hospital record diagnoses.

Authors:  A Gittelsohn; J Senning
Journal:  Am J Public Health       Date:  1979-07       Impact factor: 9.308

5.  Peer review: impact of a system based on billing claims.

Authors:  C R Buck; K L White
Journal:  N Engl J Med       Date:  1974-10-24       Impact factor: 91.245

6.  Validity of impairment ratings made from medical records and from personal knowledge.

Authors:  B S Linn; M W Linn; S R Greenwald; L Gurel
Journal:  Med Care       Date:  1974-04       Impact factor: 2.983

7.  A new audit prodecure applied to an old question: Is the frequency of T&A justified?

Authors:  N P Roos; P D Henteleff; L L Roos
Journal:  Med Care       Date:  1977-01       Impact factor: 2.983

8.  Accuracy of diagnosis on death certificates compared with that in hospital records.

Authors:  M R Alderson; T W Meade
Journal:  Br J Prev Soc Med       Date:  1967-01

9.  Automation of a patient medical profile from insurance claims data: a possible first step in automating ambulatory medical records on a national scale.

Authors:  E Mesel; D D Wirtschafter
Journal:  Milbank Mem Fund Q Health Soc       Date:  1976

10.  Temporal patterns in the use of health services leading to cholecystectomy: a process evaluation using insurance records.

Authors:  J M Horne; R G Beck
Journal:  Med Care       Date:  1978-12       Impact factor: 2.983

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  12 in total

1.  How well does ICD9 represent phrases used in the medical record problem list?

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Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

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3.  Incidence and Prevalence of Achalasia in Central Chicago, 2004-2014, Since the Widespread Use of High-Resolution Manometry.

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4.  Self-report and medical record report agreement of selected medical conditions in the elderly.

Authors:  T L Bush; S R Miller; A L Golden; W E Hale
Journal:  Am J Public Health       Date:  1989-11       Impact factor: 9.308

Review 5.  Ambulatory care casemix measures.

Authors:  D R Berlowitz; A K Rosen; M A Moskowitz
Journal:  J Gen Intern Med       Date:  1995-03       Impact factor: 5.128

6.  Intelligent Medical Record--entry (IMR-E).

Authors:  D Trace; F Naeymi-Rad; D Haines; J J Robert; F deSouza Almeida; L Carmony; M Evans
Journal:  J Med Syst       Date:  1993-08       Impact factor: 4.460

7.  Chlamydia screening among young women: individual- and provider-level differences in testing.

Authors:  Sarah E Wiehe; Marc B Rosenman; Jane Wang; Barry P Katz; J Dennis Fortenberry
Journal:  Pediatrics       Date:  2011-01-24       Impact factor: 7.124

8.  Development and validation of an administrative case definition for inflammatory bowel diseases.

Authors:  Ali Rezaie; Hude Quan; Richard N Fedorak; Remo Panaccione; Robert J Hilsden
Journal:  Can J Gastroenterol       Date:  2012-10       Impact factor: 3.522

9.  Self-rated health: a predictor of mortality among the elderly.

Authors:  J M Mossey; E Shapiro
Journal:  Am J Public Health       Date:  1982-08       Impact factor: 9.308

10.  Administrative data algorithms can describe ambulatory physician utilization.

Authors:  Baiju R Shah; Janet E Hux; Andreas Laupacis; Bernard Zinman; Karen Cauch-Dudek; Gillian L Booth
Journal:  Health Serv Res       Date:  2007-08       Impact factor: 3.402

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