Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data
Prospective, population-based studies that recruit participants in mid-life are valuable resources for dementia research. Follow-up in these studies is often through linkage to routinely-collected healthcare datasets. We investigated the accuracy of these datasets for dementia case ascertainment in...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
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Springer
2019
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| _version_ | 1797064379861041152 |
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| author | Wilkinson, T Schnier, C Bush, K Rannikmäe, K Henshall, D Lerpiniere, C Allen, N Flaig, R Russ, T Bathgate, D Pal, S O’Brien, J Sudlow, C |
| author_facet | Wilkinson, T Schnier, C Bush, K Rannikmäe, K Henshall, D Lerpiniere, C Allen, N Flaig, R Russ, T Bathgate, D Pal, S O’Brien, J Sudlow, C |
| author_sort | Wilkinson, T |
| collection | OXFORD |
| description | Prospective, population-based studies that recruit participants in mid-life are valuable resources for dementia research. Follow-up in these studies is often through linkage to routinely-collected healthcare datasets. We investigated the accuracy of these datasets for dementia case ascertainment in a validation study using data from UK Biobank—an open access, population-based study of > 500,000 adults aged 40–69 years at recruitment in 2006–2010. From 17,198 UK Biobank participants recruited in Edinburgh, we identified those with ≥ 1 dementia code in their linked primary care, hospital admissions or mortality data and compared their coded diagnoses to clinical expert adjudication of their full-text medical record. We calculated the positive predictive value (PPV, the proportion of cases identified that were true positives) for all-cause dementia, Alzheimer’s disease and vascular dementia for each dataset alone and in combination, and explored algorithmic code combinations to improve PPV. Among 120 participants, PPVs for all-cause dementia were 86.8%, 87.3% and 80.0% for primary care, hospital admissions and mortality data respectively and 82.5% across all datasets. We identified three algorithms that balanced a high PPV with reasonable case ascertainment. For Alzheimer’s disease, PPVs were 74.1% for primary care, 68.2% for hospital admissions, 50.0% for mortality data and 71.4% in combination. PPV for vascular dementia was 43.8% across all sources. UK routinely-collected healthcare data can be used to identify all-cause dementia in prospective studies. PPVs for Alzheimer’s disease and vascular dementia are lower. Further research is required to explore the geographic generalisability of these findings. |
| first_indexed | 2024-03-06T21:13:27Z |
| format | Journal article |
| id | oxford-uuid:3ef3b57a-2c6d-4d74-aed0-a69b761f7429 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:13:27Z |
| publishDate | 2019 |
| publisher | Springer |
| record_format | dspace |
| spelling | oxford-uuid:3ef3b57a-2c6d-4d74-aed0-a69b761f74292022-03-26T14:29:03ZIdentifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3ef3b57a-2c6d-4d74-aed0-a69b761f7429EnglishSymplectic Elements at OxfordSpringer2019Wilkinson, TSchnier, CBush, KRannikmäe, KHenshall, DLerpiniere, CAllen, NFlaig, RRuss, TBathgate, DPal, SO’Brien, JSudlow, CProspective, population-based studies that recruit participants in mid-life are valuable resources for dementia research. Follow-up in these studies is often through linkage to routinely-collected healthcare datasets. We investigated the accuracy of these datasets for dementia case ascertainment in a validation study using data from UK Biobank—an open access, population-based study of > 500,000 adults aged 40–69 years at recruitment in 2006–2010. From 17,198 UK Biobank participants recruited in Edinburgh, we identified those with ≥ 1 dementia code in their linked primary care, hospital admissions or mortality data and compared their coded diagnoses to clinical expert adjudication of their full-text medical record. We calculated the positive predictive value (PPV, the proportion of cases identified that were true positives) for all-cause dementia, Alzheimer’s disease and vascular dementia for each dataset alone and in combination, and explored algorithmic code combinations to improve PPV. Among 120 participants, PPVs for all-cause dementia were 86.8%, 87.3% and 80.0% for primary care, hospital admissions and mortality data respectively and 82.5% across all datasets. We identified three algorithms that balanced a high PPV with reasonable case ascertainment. For Alzheimer’s disease, PPVs were 74.1% for primary care, 68.2% for hospital admissions, 50.0% for mortality data and 71.4% in combination. PPV for vascular dementia was 43.8% across all sources. UK routinely-collected healthcare data can be used to identify all-cause dementia in prospective studies. PPVs for Alzheimer’s disease and vascular dementia are lower. Further research is required to explore the geographic generalisability of these findings. |
| spellingShingle | Wilkinson, T Schnier, C Bush, K Rannikmäe, K Henshall, D Lerpiniere, C Allen, N Flaig, R Russ, T Bathgate, D Pal, S O’Brien, J Sudlow, C Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data |
| title | Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data |
| title_full | Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data |
| title_fullStr | Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data |
| title_full_unstemmed | Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data |
| title_short | Identifying dementia outcomes in UK Biobank: a validation study of primary care, hospital admissions and mortality data |
| title_sort | identifying dementia outcomes in uk biobank a validation study of primary care hospital admissions and mortality data |
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