Approaches to ascertaining comorbidity information: Validation of routine hospital episode data with clinician-based case note review

BMC Research Notes

Volumn 7, Issue 1, 2014, Pages

  Soo, Martin ^a   Robertson, Lynn M ^a   Ali, Tariq ^c   Clark, Laura E ^b   Fluck, Nicholas ^b   Johnston, Marjorie ^b   Marks, Angharad ^a,b   Prescott, Gordon J ^a   Smith, William Cairns S ^a   Black, Corri ^a,b  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b NHS GRAMPIAN   (United Kingdom)

^c KING FAISAL SPECIALIST HOSPITAL AND RESEARCH CENTER   (Saudi Arabia)

Author keywords

Chronic kidney disease; Medical record linkage; Patient outcomes; Public health; Validation study

Indexed keywords

ADOLESCENT; ADULT; AGED; CEREBROVASCULAR DISORDERS; COMORBIDITY; DIABETES MELLITUS; ELECTRONIC MEDICAL RECORD; FEMALE; HUMAN; INFORMATION PROCESSING; MALE; MIDDLE AGED; MYOCARDIAL ISCHEMIA; PROCEDURES; RENAL INSUFFICIENCY, CHRONIC; SEVERITY OF ILLNESS INDEX; STANDARDS; UNITED KINGDOM; VALIDATION STUDY; VERY ELDERLY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CEREBROVASCULAR DISORDERS; COMORBIDITY; DATA COLLECTION; DIABETES MELLITUS; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MALE; MIDDLE AGED; MYOCARDIAL ISCHEMIA; RENAL INSUFFICIENCY, CHRONIC; SCOTLAND; SEVERITY OF ILLNESS INDEX;

EID: 84899621978     PISSN: None     EISSN: 17560500     Source Type: Journal    
DOI: 10.1186/1756-0500-7-253     Document Type: Review

References (26)

1. UK e-Health Records Research Capacity and Capability. Medical Research Council, [ http://www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC007896 ]
2. Strategic Framework for Health Informatics in Support of Research. Medical Research Council, [ http://www.mrc.ac.uk/Utilities/Documentrecord/index. htm?d=MRC006669 ]
3. Funding Opportunities, E-Health Informatics Research Centres (E-HIRCs) Call. Medical Research Council, [ http://www.mrc.ac.uk/Fundingopportunities/ Calls/E-healthCentresCall/index.htm; ]
4. International Classification of Diseases (ICD). World Health Organisation, [ http://www.who.int/classifications/icd/en/ ]
5. Assessment of SMR01 Data 2010-2011. Information Services Division Scotland, [ http://www.isdscotland.org/Health-Topics/Hospital-Care/Publications/ 2012-05-08/Assessment-of-SMR01Data-2010-2011-ScotlandReport.pdf ]
6. Validation of a case definition to define chronic dialysis using outpatient administrative data. Clement FM, James MT, Chin R, Klarenbach SW, Manns BJ, Quinn RR, Ravani P, Tonelli M, Hemmelgarn BR, Alberta Kidney Disease Network, BMC Med Res Methodol 2011 11 25-2288-11-25
7. The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients. Thygesen SK, Christiansen CF, Christensen S, Lash TL, Sorensen HT, BMC Med Res Methodol 2011 11 83-2288-11-83
8. Validity of ascertainment of co-morbid illness using administrative databases: a systematic review. Leal JR, Laupland KB, Clin Microbiol Infect 2010 16 6 715 721 10.1111/j.1469-0691.2009.02867.x 19614717
9. Evaluation of care and surveillance of cardiovascular disease: can we trust medico-administrative hospital data? Lambert L, Blais C, Hamel D, Brown K, Rinfret S, Cartier R, Giguere M, Carroll C, Beauchamp C, Bogaty P, Can J Cardiol 2012 28 2 162 168 10.1016/j.cjca.2011.10.005 22230034
10. How well does routine hospitalisation data capture information on comorbidity in New Zealand? Sarfati D, Hill S, Purdie G, Dennett E, Blakely T, N Z Med J 2010 123 1310 50 61
11. Improved accuracy of co-morbidity coding over time after the introduction of ICD-10 administrative data. Januel JM, Luthi JC, Quan H, Borst F, Taffe P, Ghali WA, Burnand B, BMC Health Serv Res 2011 11 194-6963-11-194
12. Translating chronic kidney disease epidemiology into patient care - the individual/public health risk paradox. Marks A, Black C, Fluck N, Smith WC, Prescott GJ, Clark LE, Ali TZ, Simpson WG, MacLeod AM, Nephrol Dial Transplant 2012 27 Suppl 3 ii65 iii72 22532617
13. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. National Kidney F, Am J Kidney Dis 2002 39 2 Suppl 1 1 S266 11904577
14. Scottish Government Urban Rural Classification. The Scottish Government, [ http://www.scotland.gov.uk/Topics/Statistics/About/Methodology/ UrbanRuralClassification ]
15. Scottish Index of Multiple Deprivation. The Scottish Government, [ http://www.scotland.gov.uk/Topics/Statistics/SIMD ]
16. Information Services Division Scotland. [ http://www.isdscotland.org/ ]
17. Grampian Data Safe Haven. University of Aberdeen, [ http://www.abdn.ac. uk/iahs/facilities/grampian-data-safe-haven.php ]
18. Proportions and Their Differences. Gardner MJ, Statistics with Confidence J W Arrowsmith Ltd, Bristol: BMJ Books, Altman DG, Machin D, Bryant TN, Second 2000 46 47
19. The measurement of observer agreement for categorical data. Landis JR, Koch GG, Biometrics 1977 33 1 159 174 10.2307/2529310 843571 (Pubitemid 8054849)
20. Assessing Agreement. Petrie A, Sabin C, Medical Statistics at a Glance United Kingdom: Blackwell Science, Anonymous, 2000 93
21. Development and validation of an electronic health record-based chronic kidney disease registry. Navaneethan SD, Jolly SE, Schold JD, Arrigain S, Saupe W, Sharp J, Lyons J, Simon JF, Schreiber MJ Jr, Jain A, Nally JV Jr, Clin J Am Soc Nephrol 2011 6 1 40 49 10.2215/CJN.04230510 21051745
22. Use of hospitalisation history (lookback) to determine prevalence of chronic diseases: impact on modelling of risk factors for haemorrhage in pregnancy. Chen JS, Roberts CL, Simpson JM, Ford JB, BMC Med Res Methodol 2011 11 68-2288-11-68
23. Length of comorbidity lookback period affected regression model performance of administrative health data. Preen DB, Holman CDJ, Spilsbury K, Semmens JB, Brameld KJ, J Clin Epidemiol 2006 59 9 940 946 10.1016/j.jclinepi. 2005.12.013 16895817 (Pubitemid 44163421)
24. A systematic review of discharge coding accuracy. Campbell SE, Campbell MK, Grimshaw JM, Walker AE, J Public Health Med 2001 23 3 205 211 10.1093/pubmed/23.3.205 11585193 (Pubitemid 32895888)
25. Record rewards: the effects of targeted quality incentives on the recording of risk factors by primary care providers. Sutton M, Elder R, Guthrie B, Watt G, Health Econ 2010 19 1 1 13
26. Department of Health, NHS Improvement & Efficiency Directorate, Innovation and Service Improvement, Innovation Health and Wealth, Accelerating Adoption and Diffusion in the NHS England: Department of Health 2011