The data quality of haematological malignancy ICD-10 diagnoses in a population-based Hospital Discharge Registry

被引:54
|
作者
Norgaard, M
Skriver, MV
Gregersen, H
Pedersen, G
Schonheyder, HC
Sorensen, HT
机构
[1] Aarhus Univ Hosp, Dept Clin Epidemiol, DK-9000 Aalborg, Denmark
[2] Vanderbilt Univ, Med Ctr, Dept Med, Vanderbilt Ingram Canc Ctr, Nashville, TN USA
[3] Aarhus Univ Hosp, Dept Infect Dis, DK-9000 Aalborg, Denmark
[4] Aarhus Univ Hosp, Dept Clin Microbiol, DK-9000 Aalborg, Denmark
关键词
data quality; discharge diagnosis; epidemiology; haematological malignancies; survival;
D O I
10.1097/00008469-200506000-00002
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The objectives of this study were to estimate the data quality of haematological malignancy diagnoses in a hospital discharge registry, and to quantify the impact of any misclassification of diagnoses on survival estimates. We included all patients : 15 years living in North Jutland County, Denmark with a first-time discharge diagnosis of a haematological malignancy registered in the Hospital Discharge Registry and the Danish Cancer Registry, the reference standard, from 1994 to 1999. We estimated completeness and positive predictive value (PPV) of haematological malignancies and specific subcategories, as a measure of data quality, and compared mortality rates based on data from the two registries by Cox regression analysis. Completeness in the Hospital Discharge Registry for all haematological malignancies was 91.5% (95% confidence interval (Cl) 89.6-93.1) and PPV was 84.5% (95% Cl 82.2-86.5). Reviews of the pathological files showed misclassified cases in both registries and thus indicated that both completeness and PPV of the Hospital Discharge Registry were underestimates. Mortality rate ratio for all haematological malignancies when registered in the Hospital Discharge Registry compared with being registered in the Danish Cancer Registry was 0.98 (95% Cl 0.88-1.09). Discharge data had some misclassifications but these had no major impact on survival estimates. (c) 2005 Lippincott Williams & Wilkins.
引用
收藏
页码:201 / 206
页数:6
相关论文
共 50 条
  • [31] Determining the frequency of reporting laboratory data in summary sheets of patients in a pediatric ward based on the classification of diagnoses in ICD-10
    Shahbakhsh, Farzaneh
    Khajouei, Reza
    Sabahi, Azam
    Mehdipour, Yousef
    Ahmadian, Leila
    CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH, 2024, 25
  • [32] An administrative data merging solution for dealing with missing data in a clinical registry: adaptation from ICD-9 to ICD-10
    Danielle A Southern
    Colleen M Norris
    Hude Quan
    Fiona M Shrive
    P Diane Galbraith
    Karin Humphries
    Min Gao
    Merril L Knudtson
    William A Ghali
    BMC Medical Research Methodology, 8
  • [33] Validity of AHRQ patient safety indicators derived from ICD-10 hospital discharge abstract data (chart review study)
    Quan, Hude
    Eastwood, Cathy
    Cunningham, Ceara Tess
    Liu, Mingfu
    Flemons, Ward
    De Coster, Carolyn
    Ghali, William A.
    BMJ OPEN, 2013, 3 (10):
  • [34] Epidemiology of Hereditary Ataxias in Spain: Hospital Discharge Registry and Population-Based Mortality Study
    Alonso, Veronica
    Villaverde-Hueso, Ana
    Hens, Manuel J.
    Morales-Piga, Antonio
    Abaitua, Ignacio
    de la Paz, Manuel Posada
    NEUROEPIDEMIOLOGY, 2013, 41 (01) : 13 - 19
  • [35] Improving case ascertainment of a population-based birth defects registry in New York State using hospital discharge data
    Wang, Y
    Sharpe-Stimac, M
    Cross, PK
    Druschel, CM
    Hwang, SA
    BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY, 2005, 73 (10) : 663 - 668
  • [36] Validity of ICD 10 dementia diagnoses in clinical practice: A registry-based study
    Phung, K.
    Andersen, B. B.
    Kessing, L. V.
    Mortensen, P. B.
    Waldemar, G.
    EUROPEAN JOURNAL OF NEUROLOGY, 2006, 13 : 194 - 194
  • [37] Evaluation of the completeness of national haematological malignancy registration: comparison of national data with a specialist population-based register
    Roman, E.
    Smith, A. G.
    Oliver, S. E.
    Bolton, E.
    Ross, J. R. Y.
    Patmore, R.
    Jack, A.
    BRITISH JOURNAL OF HAEMATOLOGY, 2011, 153 : 34 - 34
  • [38] HOSPITAL LENGHT OF STAY AND COSTS IN PATIENTS WITH URINARY TRACK INFECTIONS: ANALYSIS OF US NATIONAL IN-PATIENT DATA FOR 2015 USING ICD-9 AND ICD-10 DIAGNOSES
    Aggarwal, S.
    Kumar, S.
    Topaloglu, O.
    VALUE IN HEALTH, 2018, 21 : S267 - S267
  • [39] Adverse drug reactions in patients admitted to hospital identified by discharge ICD-10 codes and by spontaneous reports
    Cox, AR
    Anton, C
    Goh, CHF
    Easter, M
    Langford, NJ
    Ferner, RE
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2001, 52 (03) : 337 - 339
  • [40] DATA QUALITY AND QUALITY-CONTROL OF A POPULATION-BASED CANCER REGISTRY - EXPERIENCE IN FINLAND
    TEPPO, L
    PUKKALA, E
    LEHTONEN, M
    ACTA ONCOLOGICA, 1994, 33 (04) : 365 - 369