Cited by 78Dementia and Cognitive Impairment ResearchMedical Coding and Health InformationElectronic Health Records Systems

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Comparison of dementia recorded in routinely collected hospital admission data in England with dementia recorded in primary care

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Abstract

Background: Electronic linkage of UK cohorts to routinely collected National Health Service (NHS) records provides virtually complete follow-up for cause-specific hospital admissions and deaths. The reliability of dementia diagnoses recorded in NHS hospital data is not well documented. Methods: For a sample of Million Women Study participants in England we compared dementia recorded in routinely collected NHS hospital data (Hospital Episode Statistics: HES) with dementia recorded in two separate sources of primary care information: a primary care database [Clinical Practice Research Datalink (CPRD), n = 340] and a survey of study participants’ General Practitioners (GPs, n = 244). Results: Dementia recorded in HES fully agreed both with CPRD and with GP survey data for 85% of women; it did not agree for 1 and 4%, respectively. Agreement was uncertain for the remaining 14 and 11%, respectively; and among those classified as having uncertain agreement in CPRD, non-specific terms compatible with dementia, such as ‘memory loss’, were recorded in the CPRD database for 79% of the women. Agreement was significantly better (p < 0.05 for all comparisons) for women with HES diagnoses for Alzheimer’s disease (95 and 94% agreement with any dementia for CPRD and GP survey, respectively) and for vascular dementia (88 and 88%, respectively) than for women with a record only of dementia not otherwise specified (70 and 72%, respectively). Dementia in the same woman was first mentioned an average 1.6 (SD 2.6) years earlier in primary care (CPRD) than in hospital (HES) data. Age-specific rates for dementia based on the hospital admission data were lower than the rates based on the primary care data, but were similar if the delay in recording in HES was taken into account. Conclusions: Dementia recorded in routinely collected NHS hospital admission data for women in England agrees well with primary care records of dementia assessed separately from two different sources, and is sufficiently reliable for epidemiological research.

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  • Dementia is known to be under diagnosed, with up to 50% of people with dementia undiagnosed at any time.

    “However, dementia is known to be under diagnosed, with up to 50% of people with dementia undiagnosed at any time.34”

    From Anticholinergic drugs and risk of dementia: case-control study (2018) · cites this paper as [34]

    The Discussion (page unavailable) says clinically diagnosed dementia rates are lower than rates found through case finding because some people with early dementia may not have been diagnosed. It does not give an estimate that up to 50% of people with dementia are undiagnosed at any time. (LLM, conf=0.86)

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Research works printed but not linked: 13

  1. Wu YT, Fratiglioni L, Matthews FE, Lobo A, Breteler MM, Skoog I, Brayne C. Dementia in western Europe: epidemiological evidence and implications for policy making. Lancet Neurol. 2015;15(1):116–24. doi:10.1016/S1474-4422(15)00092-7. · DOI
  2. Thorvaldsson V, Macdonald SW, Fratiglioni L, Winblad B, Kivipelto M, Laukka EJ, et al. Onset and rate of cognitive change before dementia diagnosis: findings from two Swedish population-based longitudinal studies. J Int Neuropsychol Soc. 2011;17(1):154–62. · DOI
  3. Wright FL, Green J, Canoy D, et al. Vascular disease in women: comparison of diagnoses in hospital episode statistics and general practice records in England. BMC Med Res Methodol. 2012;12:161. doi:10.1186/1471-2288-12-161. · DOI
  4. The Million Women Study Collaborative Group. The Million Women Study: design and characteristics of the study population. The Million Women Study Collaborative Group. Breast Cancer Res. 1999;1:73–80. · DOI
  5. Million Women Study Collaborators. Breast cancer and hormone-replacement therapy in the Million Women Study. Lancet. 2003;362:419–27. · DOI
  6. World Health Organization. International statistical classification of diseases and related health problems. 10th revision ed. Geneva: World Health Organization; 1992.
  7. Qizilbash N, Gregson J, Johnson ME, Pearce N, Douglas I, Wing K, Evans SJ, Pocock SJ. BMI and risk of dementia in two million people over two decades: a retrospective cohort study. Lancet Diabetes Endocrinol. 2015;3(6):431–6. · DOI
  8. Khan NF, Harrison SE, Rose PW. Validity of diagnostic coding within the General Practice Research Database: a systematic review. Br J Gen Pract. 2010;60(572):e128–36. · DOI
  9. St Germaine-Smith C, Metcalfe A, Pringsheim T, Roberts JI, Beck CA, Hemmelgarn BR, et al. Recommendations for optimal ICD codes to study neurologic conditions: a systematic review. Neurology. 2012;79(10):1049–55. · DOI · Paper page
  10. Kontopantelis E, Buchan I, Reeves D, Checkland K, Doran T. Relationship between quality of care and choice of clinical computing system: retrospective analysis of family practice performance under the UK’s quality and outcomes framework. BMJ Open. 2013;3(8):e003190. doi:10.1136/bmjopen-2013-003190. (Erratum in: BMJ Open. 2013;3(8):e003190corr1) · DOI
  11. Kosteniuk JG, Morgan DG, O’Connell ME, Kirk A, Crossley M, Teare GF, Stewart NJ, Bello-Haas VD, Forbes DA, Innes A, Quail JM. Incidence and prevalence of dementia in linked administrative health data in Saskatchewan, Canada: a retrospective cohort study. BMC Geriatr. 2015;15:73. · DOI
  12. Matthews F, Brayne C, Medical Research Council Cognitive Function and Ageing Study Investigators. The incidence of dementia in England and Wales: findings from the five identical sites of the MRC CFA Study. PLoS Med. 2005;2(8):e193. · DOI
  13. Russell P, Banerjee S, Watt J, Adleman R, Agoe B, Burnie N, et al. Improving the identification of people with dementia in primary care: evaluation of the impact of primary care dementia coding guidance on identified prevalence. BMJ Open. 2013;3(12):e004023. · DOI

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Metadata

Authors
Brown, A., Kirichek, O., Balkwill, A., Reeves, G., Beral, V., Sudlow, C., Gallacher, J., & Green, J.
Affiliations
  • University of Oxford (GB)
  • University of Edinburgh (GB)
Corresponding author
Green, Jane
Venue
Emerging Themes in Epidemiology
Published
2016-10-28
Volume
13
Issue
1
Pages
11-11
ISSN
1742-7622 (ISSN-L)
OpenAlex
W2540440652
Cited by
78
References
2
Citations by year
2026: 7 · 2025: 7 · 2024: 6 · 2023: 8 · 2022: 11 · 2021: 9 · 2020: 11 · 2019: 10 · 2018: 3 · 2017: 6
FWCI
4.37
Type
journal article
Language
en
Open access
Locations
  • Emerging Themes in Epidemiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, cc-by)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Cancer Research UK (C570/A11692)
  • Medical Research Council (MR/K02700X/1)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
dementia, hospital admission data, primary care records, Hospital Episode Statistics, Clinical Practice Research Datalink, diagnostic agreement, data linkage, Alzheimer's disease, vascular dementia, memory loss, Million Women Study, women, delayed diagnosis

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