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Volumn 32, Issue 1, 1994, Pages 81-90

Bias in the coding of hospital discharge data and its implications for quality assessment

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CLASSIFICATION; COMORBIDITY; COMPARATIVE STUDY; DEMOGRAPHY; DOCUMENTATION; EPIDEMIOLOGY; FEMALE; HEALTH SERVICES RESEARCH; HOSPITALIZATION; HUMAN; MALE; MEDICAL RECORD; MORTALITY; REPRODUCIBILITY; RISK MANAGEMENT; SENSITIVITY AND SPECIFICITY; STANDARD; STATISTICAL MODEL; TREATMENT OUTCOME; UNITED STATES;

EID: 0027991482     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/00005650-199401000-00006     Document Type: Article
Times cited : (306)

References (24)
  • 1
    • 0023214379 scopus 로고
    • Adjusted hospital death rates: A potential screen for quality of care
    • Dubois RW, Brook RH, Rogers WH. Adjusted hospital death rates: A potential screen for quality of care. Am J Public Health 1987; 77:1162.
    • (1987) Am J Public Health , vol.77 , pp. 1162
    • Dubois, R.W.1    Brook, R.H.2    Rogers, W.H.3
  • 4
    • 0004187522 scopus 로고
    • Washington, DC; Govt Printing Office;, HCFA Pub. no. 00744
    • Health Care Financing Administration. Medicare Hospital Mortality Information, 1987-1988-1989. Washington, DC; Govt Printing Office; 1991. HCFA Pub. no. 00744.
    • (1991) Medicare Hospital Mortality Information, 1987-1988-1989
  • 5
    • 0025168782 scopus 로고
    • Inherent limitations of hospital death rates to assess quality
    • Dubois RW: Inherent limitations of hospital death rates to assess quality. Inti J Tech Assess Health Care 1990;6:220.
    • (1990) Inti J Tech Assess Health Care , vol.6 , pp. 220
    • Dubois, R.W.1
  • 6
    • 0023251142 scopus 로고
    • Comments on HCFA hospital death rate statistical outliers
    • Blumberg MS. Comments on HCFA hospital death rate statistical outliers. Health Serv Res 1987;21:715.
    • (1987) Health Serv Res , vol.21 , pp. 715
    • Blumberg, M.S.1
  • 7
    • 0024242507 scopus 로고
    • Interpreting hospital mortality data: The role of clinical risk adjust-ment
    • Jencks SF, Daley J, Draper D, et al. Interpreting hospital mortality data: The role of clinical risk adjust-ment. JAMA 1988;260:3611.
    • (1988) JAMA , vol.260 , pp. 3611
    • Jencks, S.F.1    Daley, J.2    Draper, D.3
  • 8
    • 0021932124 scopus 로고
    • Physician and coding errors in patient records
    • Lloyd SS, Rissing JP: Physician and coding errors in patient records. JAMA 1990; 254:1330.
    • (1990) JAMA , vol.254 , pp. 1330
    • Lloyd, S.S.1    Rissing, J.P.2
  • 9
    • 0003854636 scopus 로고
    • Washington, DC: National Academy of Sciences
    • Institute of Medicine. Reliability of hospital discharge abstracts. Washington, DC: National Academy of Sciences, 1977.
    • (1977) Reliability of Hospital Discharge Abstracts
  • 11
    • 0019773964 scopus 로고
    • Improving hospital discharge data: Lessons from the National Hospital Discharge Survey
    • Demlo LK, Campbell PM: Improving hospital discharge data: lessons from the National Hospital Discharge Survey. Med Care 1981; 19:1030.
    • (1981) Med Care , vol.19 , pp. 1030
    • Demlo, L.K.1    Campbell, P.M.2
  • 12
    • 0026553703 scopus 로고
    • The accuracy of Medicare’s hospital claims data: Progress has been made, but problems remain
    • Fisher ES, Whaley FS, Krushat WM, et al. The accuracy of Medicare’s hospital claims data: Progress has been made, but problems remain. Am J Public Health 1992;82:243.
    • (1992) Am J Public Health , vol.82 , pp. 243
    • Fisher, E.S.1    Whaley, F.S.2    Krushat, W.M.3
  • 13
    • 0023739813 scopus 로고
    • Assessing hospital-associated deaths from discharge data: The role of length of stay and comorbidities
    • Jencks SF, Williams DK, Kay TL: Assessing hospital-associated deaths from discharge data: the role of length of stay and comorbidities. JAMA 1988; 260:2240.
    • (1988) JAMA , vol.260 , pp. 2240
    • Jencks, S.F.1    Williams, D.K.2    Kay, T.L.3
  • 15
    • 0025209887 scopus 로고
    • The effect of preexisting conditions on mortality in trauma patients
    • Morris JA, Mackenzie EJ, Edelstein SL: The effect of preexisting conditions on mortality in trauma patients. JAMA 1990; 263:1942.
    • (1990) JAMA , vol.263 , pp. 1942
    • Morris, J.A.1    Mackenzie, E.J.2    Edelstein, S.L.3
  • 16
    • 0026588103 scopus 로고
    • Comorbidities, complications and coding bias: Does the number of diagnosis codes matter in predicting in-hospital mortality?
    • Iezzoni LI, Foley SM, Daley J, et al. Comorbidities, complications and coding bias: Does the number of diagnosis codes matter in predicting in-hospital mortality? JAMA 1992; 267:2197.
    • (1992) JAMA , vol.267 , pp. 2197
    • Iezzoni, L.I.1    Foley, S.M.2    Daley, J.3
  • 19
    • 84935318826 scopus 로고
    • Health Care Financing Administration
    • Health Care Financing Administration, Office of Statistics and Data Management. Data Documentation: Quality of Care (QC) MEDPAR File. Health Care Financing Administration, 1988.
    • (1988) Data Documentation: Quality of Care (QC) MEDPAR File
  • 20
    • 0008409194 scopus 로고
    • Washington, DC: Govt Printing Office, HCFA Pub. no. 01-002
    • Health Care Financing Administration. Medicare Hospital Mortality Information, 1986. Washington, DC: Govt Printing Office; 1987, HCFA Pub. no. 01-002.
    • (1987) Medicare Hospital Mortality Information, 1986
  • 21
    • 0017360990 scopus 로고
    • The measurement of observer agreement for categorical data
    • Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977;33:159.
    • (1977) Biometrics , vol.33 , pp. 159
    • Landis, J.R.1    Koch, G.G.2
  • 22
    • 0009814104 scopus 로고
    • Washington, DC: Govt Printing Office, HCFA Pub. no. 00712
    • Health Care Financing Administration. Medicare Hospital Mortality Information, 1986-1987-1988. Washington, DC: Govt Printing Office; 1989. HCFA Pub. no. 00712.
    • (1989) Medicare Hospital Mortality Information, 1986-1987-1988
  • 23
    • 0019972373 scopus 로고
    • How good are the data? Reliability of one health care data bank
    • Roos LL, Roos NP, Cageorge SM, Nicol JP: How good are the data? Reliability of one health care data bank. Med Care 1982; 20:266.
    • (1982) Med Care , vol.20 , pp. 266
    • Roos, L.L.1    Roos, N.P.2    Cageorge, S.M.3    Nicol, J.P.4
  • 24
    • 84935318827 scopus 로고
    • Discharge Data Review (Office of Statewide Health Planning and Development). March 1
    • Tagupa M: Results of questionnaire. Discharge Data Review (Office of Statewide Health Planning and Development). March 1, 1991; 9:3.
    • (1991) Results of Questionnaire , vol.9 , pp. 3
    • Tagupa, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.