Literature DB >> 9258546

The validity of hospital discharge register data on coronary heart disease in Finland.

M Mähönen1, V Salomaa, M Brommels, A Molarius, H Miettinen, K Pyörälä, J Tuomilehto, M Arstila, E Kaarsalo, M Ketonen, K Kuulasmaa, S Lehto, H Mustaniemi, M Niemelä, P Palomäki, J Torppa, T Vuorenmaa.   

Abstract

We studied the validity of the Finnish hospital discharge register data on coronary heart disease (CHD) for the purposes of epidemiologic studies and health services research. The Finnish nationwide hospital discharge register (HDR) was linked with the FINMONICA acute myocardial infarction (AMI) register for the years 1983-1990. The frequency of errors in the HDR was assessed separately. Between 8% and 13% of hospitalized AMI events registered in the AMI Register were not found in the HDR with an ICD code for CHD. Problems with the register linkage and the use of some ICD code other than one of the codes for CHD explained these missing events. The frequency of errors in the personal identification number was about 5% in the early 1980s. After 1986 errors were found only occasionally. The diagnosis recorded in the HDR was the same as that in the discharge sheet in about 95% of hospitalizations. The positive predictive value of the ICD code 410 (AMI), compared with the FINMONICA definite+possible AMI category, was very high and stable, about 90% in all areas and all hospitals, but the sensitivity varied from 50% at local hospitals to 80% at central hospitals. In summary, data on CHD obtained from the Finnish hospital discharge register give, on average, a correct picture on changes in the occurrence of AMI in Finland and can, with necessary caution, be used in epidemiological studies and health services research. However, the classification of individual cases is not standardized in the HDR, but varies over time, between geographical areas and the levels of care. Therefore, these data should not be used without confirmation in studies where correct classification of individual outcomes is of crucial importance, such as follow-up studies and case-control studies.

Entities:  

Mesh:

Year:  1997        PMID: 9258546     DOI: 10.1023/a:1007306110822

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  28 in total

1.  A study of the validity of the Hospital Activity Analysis information.

Authors:  C J Martini; A O Hughes; V A Patton
Journal:  Br J Prev Soc Med       Date:  1976-09

2.  Recent trends in mortality from and incidence of myocardial infarction in Stockholm.

Authors:  N Hammar; A Ahlbom
Journal:  Br Med J (Clin Res Ed)       Date:  1987-03-07

3.  Physician and coding errors in patient records.

Authors:  S S Lloyd; J P Rissing
Journal:  JAMA       Date:  1985-09-13       Impact factor: 56.272

4.  Accuracy of Scottish hospital morbidity data.

Authors:  E Lockwood
Journal:  Br J Prev Soc Med       Date:  1971-05

5.  Acute myocardial infarction (AMI) in Finland--baseline data from the FINMONICA AMI register in 1983-1985.

Authors:  J Tuomilehto; M Arstila; E Kaarsalo; J Kankaanpää; M Ketonen; K Kuulasmaa; S Lehto; H Miettinen; H Mustaniemi; P Palomäki
Journal:  Eur Heart J       Date:  1992-05       Impact factor: 29.983

6.  False-positive coding for acute myocardial infarction on hospital discharge records: chart audit results from a tertiary centre.

Authors:  C van Walraven; B Wang; A M Ugnat; C D Naylor
Journal:  Can J Cardiol       Date:  1990-11       Impact factor: 5.223

7.  Improved survival after acute myocardial infarction in Finland, 1974-1985.

Authors:  S Näyhä
Journal:  Int J Epidemiol       Date:  1992-02       Impact factor: 7.196

8.  Estimation of myocardial infarction mortality from routinely collected data in Western Australia.

Authors:  C A Martin; M S Hobbs; B K Armstrong
Journal:  J Chronic Dis       Date:  1987

9.  Coding of acute myocardial infarction. Clinical and policy implications.

Authors:  L I Iezzoni; S Burnside; L Sickles; M A Moskowitz; E Sawitz; P A Levine
Journal:  Ann Intern Med       Date:  1988-11-01       Impact factor: 25.391

10.  Improving hospital discharge data: lessons from the National Hospital Discharge Survey.

Authors:  L K Demlo; P M Campbell
Journal:  Med Care       Date:  1981-10       Impact factor: 2.983

View more
  27 in total

1.  Feasibility of determining myocardial infarction type from medical record review.

Authors:  Ken S Woo; William A Ghali; Danielle A Southern; Jack V Tu; Gerry Parsons; Michelle M Graham
Journal:  Can J Cardiol       Date:  2008-02       Impact factor: 5.223

2.  Comparison of different procedures to identify probable cases of myocardial infarction and stroke in two Swedish prospective cohort studies using local and national routine registers.

Authors:  J Merlo; U Lindblad; H Pessah-Rasmussen; B Hedblad; J Rastam; S O Isacsson; L Janzon; L Råstam
Journal:  Eur J Epidemiol       Date:  2000-03       Impact factor: 8.082

3.  Growth in utero and during childhood among women who develop coronary heart disease: longitudinal study.

Authors:  T Forsén; J G Eriksson; J Tuomilehto; C Osmond; D J Barker
Journal:  BMJ       Date:  1999-11-27

4.  The feasibility of routine mortality and morbidity register data linkage to study the occurrence of acute coronary heart disease events in Finland. The Finnish Cardiovascular Diseases Registers (CVDR) Project.

Authors:  M Mähönen; V Salomaa; I Keskimäki; V Moltchanov
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

5.  Sex differences in cardiovascular and total mortality among diabetic and non-diabetic individuals with or without history of myocardial infarction.

Authors:  G Hu; P Jousilahti; Q Qiao; S Katoh; J Tuomilehto
Journal:  Diabetologia       Date:  2005-04-13       Impact factor: 10.122

6.  Predictive value of pediatric thrombosis diagnoses in the Danish National Patient Registry.

Authors:  Ruta Tuckuviene; Soeren Risom Kristensen; Jon Helgestad; Anette Luther Christensen; Soeren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

7.  Birth weight, childhood body mass index and risk of coronary heart disease in adults: combined historical cohort studies.

Authors:  Lise Geisler Andersen; Lars Angquist; Johan G Eriksson; Tom Forsen; Michael Gamborg; Clive Osmond; Jennifer L Baker; Thorkild I A Sørensen
Journal:  PLoS One       Date:  2010-11-29       Impact factor: 3.240

8.  Case definitions for acute myocardial infarction in administrative databases and their impact on in-hospital mortality rates.

Authors:  Amy Metcalfe; Annabelle Neudam; Samantha Forde; Mingfu Liu; Saskia Drosler; Hude Quan; Nathalie Jetté
Journal:  Health Serv Res       Date:  2012-06-28       Impact factor: 3.402

9.  Validity of coronary heart diseases and heart failure based on hospital discharge and mortality data in the Netherlands using the cardiovascular registry Maastricht cohort study.

Authors:  Audrey H H Merry; Jolanda M A Boer; Leo J Schouten; Edith J M Feskens; W M Monique Verschuren; Anton P M Gorgels; Piet A van den Brandt
Journal:  Eur J Epidemiol       Date:  2009-04-01       Impact factor: 8.082

10.  Change and persistence in healthcare inequities: access to elective surgery in Finland in 1992--2003.

Authors:  Kristna Manderbacka; Martti Arffman; Alastair Leyland; Alison McCallum; Ilmo Keskimäki
Journal:  Scand J Public Health       Date:  2009-01-05       Impact factor: 3.021

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.