Vascular disease in women: Comparison of diagnoses in hospital episode statistics and general practice records in England

BMC Medical Research Methodology

Volumn 12, Issue , 2012, Pages

  Wright, F Lucy ^a   Green, Jane ^a   Canoy, Dexter ^a   Cairns, Benjamin J ^a   Balkwill, Angela ^a   Beral, Valerie ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Cohort study; Comparison; Diagnosis; Hospital episode statistics; Hospital records; Ischaemic heart disease; Medical records; Myocardial infarction; Pulmonary embolism; Stroke; Validation; Vascular disease; Venous thromboembolism

Indexed keywords

ARTICLE; CLINICAL PRACTICE; COMPARATIVE STUDY; FEMALE; HEART MUSCLE ISCHEMIA; HOSPITALIZATION; HUMAN; OUTCOME ASSESSMENT; PATIENT CARE; UNITED KINGDOM; VASCULAR DISEASE;

ENGLAND; EPISODE OF CARE; FEMALE; HOSPITALIZATION; HUMANS; MYOCARDIAL ISCHEMIA; OUTCOME ASSESSMENT (HEALTH CARE); PHYSICIAN'S PRACTICE PATTERNS; VASCULAR DISEASES;

EID: 84870540626     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-12-161     Document Type: Article

References (19)

1. NHS Information Centre, Hospital Episode Statistics http://www.hesonline. nhs.uk
2. Breast cancer and hormone-replacement therapy in the Million Women Study. Million Women Study Collaborators, Lancet 2003 362 419 427 12927427
3. WHO, International classification of diseases, 10th revision-volume 1 Geneva: World Health Organisation 1992
4. NHS Information Centre, Final General Practice Registered Populations 2011 http://www.ic.nhs.uk/statistics-and-data-collections/population-and- geography/gp-registered-populations/attribution-dataset-gp-registered- populations-scaled-to-ons-population-estimates-2011
5. Office for National Statistics, Annual Mid-Year Population Estimates 2010 http://www.ons.gov.uk/ons/rel/pop-estimate/population-estimates-for-uk - england-and-wales - scotland-and-northern-ireland/mid-2010-population-estimates/ index.html
6. Systematic review of discharge coding accuracy. Burns EM, Rigby E, Mamidanna R, Bottle A, Aylin P, Ziprin P, Faiz OM, J Public Health 2011 10.1093/pubmed/fdr054
7. Macrophage migration inhibitory factor and the risk of myocardial infarction or death due to coronary artery disease in adults without prior myocardial infarction or stroke: The EPIC-Norfolk prospective population study. Boekholdt SM, Peters RJG, Day NE, Luben R, Bingham SA, Wareham NJ, Hack CE, Reitsman PH, Khaw K-T, Am J Med 2004 117 390 397 10.1016/j.amjmed.2004.04.010 15380495 (Pubitemid 39369543)
8. The accuracy of hospital discharge coding for haemorrhagic stroke. Kirkman MA, Mahattanakul W, Gregson BA, Mendelow AD, Acta Neurol Belg 2009 109 114 119 19681442
9. Audit Commission, Improving Data Quality in the NHS: Annual Report on the PbR Assurance Programme Health London: Audit Commission 2010
10. Predictive values of acute coronary syndrome discharge diagnoses differed in the Danish National Patient Registry. Joensen AM, Jensen MK, Overvad K, Dethlefsen C, Schmidt E, Rasmussen L, Tjonneland A, Johnsen S, J Clin Epidemiol 2009 62 188 194 10.1016/j.jclinepi.2008.03.005 18722087
11. The validity of the Finnish hospital discharge register and causes of death register data on coronary heart disease. Pajunen P, Koukkunen H, Ketonen M, Jerkkola T, Immonen-Räihä P, Kärjä-Koskenkari P, Mahonen M, Niemela M, Kuulasmaa K, Palomaki P, Mustonen J, Lehtonen A, Arstila M, Vuorenmaa T, Lehto S, Miettinen H, Torppa J, Tuomilehto J, Kesaniemi YA, Pyorala K, Salomaa V, Eur J Cardiovasc Prev Rehabil 2005 12 132 137 15785298 (Pubitemid 40575756)
12. Predictive value of stroke and transient ischaemic attack discharge diagnoses in the Danish National Registry of Patient. Johnsen SP, Overvad K, Sorensen HT, Tjonneland A, Husted SE, J Clin Epidemiol 2002 55 602 607 10.1016/S0895-4356(02)00391-8 12063102 (Pubitemid 34621504)
13. Venous thromboembolism discharge diagnoses in the Danish National Patient Registry should be used with caution. Severinsen MT, Kristensen SR, Overvad K, Dethlefsen C, Tjonneland A, Johnsen SP, J Clin Epidemiol 2010 63 223 228 10.1016/j.jclinepi.2009.03.018 19595569
14. Positive predictive value of ICD 9 codes 410 and 411 in the identification of cases of acute coronary syndromes in the Saskatchewan Hospital automated database. Varas Lorenzo C, Castellsague J, Stang MR, Tomas L, Aguado J, Perez Gutthann S, Pharmacoepidemiol Drug Saf 2008 17 8 842 852 10.1002/pds.1619 18498081
15. Accuracy of medicare claims-based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records. Kiyota Y, Schneeweiss S, Glynn RJ, Cannuscio CC, Avorn J, Solomon DH, Am Heart J 2004 148 1 99 104 10.1016/j.ahj.2004.02.013 15215798 (Pubitemid 38900487)
16. Coding of stroke and stroke risk factors using international classification of disease, revisions 9 and 10. Kokotailo RA, Hill MD, Stroke 2005 36 1776 1781 10.1161/01.STR.0000174293.17959.a1 16020772 (Pubitemid 41098778)
17. The validity of ICD-9-CM codes in identifying postoperative deep vein thrombosis and pulmonary embolism. Zhan C, Battles J, Chiang Y-P, Hunt D, Jt Comm J Qual Patient Saf 2007 33 6 326 331 17566542
18. Accuracy of coding for possible warfarin complications in hospital discharge abstracts. Arnason T, Wells PS, van Walraven C, Forster AJ, Thromb Res 2006 118 253 262 10.1016/j.thromres.2005.06.015 16081144 (Pubitemid 43816665)
19. Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study. Reeves G, Pirie K, Beral V, Green J, Spencer E, Bull D, for the Million Women Study Collaborators, BMJ 2007 335 1134 10.1136/bmj.39367.495995.AE 17986716 (Pubitemid 350247286)