Literature DB >> 7401701

Quality control of hospital discharge data.

R F Corn.   

Abstract

Data based on medical records of discharged hospital patients are widely used. However, recent studies of the reliability of discharge data have found error rates which appear to be high, in view of the important data uses. In this paper, the procedures reportedly followed to control the quality of discharge data by private abstracting services, the national Hospital Discharge Survey and the Medicare system are described. Some weaknesses of the quality controls of the existing systems are identified. Recommendations are made for reducing duplicate data collection efforts, and for studies of the relative effectiveness and costs of various quality control procedures.

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Year:  1980        PMID: 7401701     DOI: 10.1097/00005650-198004000-00006

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  5 in total

1.  Predicting emergency readmissions for patients discharged from the medical service of a teaching hospital.

Authors:  R S Phillips; C Safran; P D Cleary; T L Delbanco
Journal:  J Gen Intern Med       Date:  1987 Nov-Dec       Impact factor: 5.128

2.  The fate of "outstanding postdischarge data".

Authors:  N Klippenstein; A G Rogers
Journal:  Can Med Assoc J       Date:  1985-08-01       Impact factor: 8.262

3.  A common denominator: calculating hospitalization rates for ambulatory care-sensitive conditions in California.

Authors:  Camillia K Lui; Steven P Wallace
Journal:  Prev Chronic Dis       Date:  2011-08-15       Impact factor: 2.830

4.  Different data systems, different conclusions? Comparing hospital use data for the aged from four data systems.

Authors:  J Lubitz
Journal:  Health Care Financ Rev       Date:  1981

5.  Differences in the Prevalence of Obesity, Smoking and Alcohol in the United States Nationwide Inpatient Sample and the Behavioral Risk Factor Surveillance System.

Authors:  Elie S Al Kazzi; Brandyn Lau; Tianjing Li; Eric B Schneider; Martin A Makary; Susan Hutfless
Journal:  PLoS One       Date:  2015-11-04       Impact factor: 3.240

  5 in total

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