John Tazare, Alasdair D Henderson, Jessica Morley, Helen A Blake, Helen I McDonald, Elizabeth J Williamson, Helen Strongman
{"title":"NHS 国家数据选择退出:趋势及对健康数据研究的潜在影响。","authors":"John Tazare, Alasdair D Henderson, Jessica Morley, Helen A Blake, Helen I McDonald, Elizabeth J Williamson, Helen Strongman","doi":"10.3399/BJGPO.2024.0020","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The English NHS data opt-out allows people to prevent use of their health data for purposes other than direct care. In 2021, the number of opt-outs increased in response to government-led proposals to create a centralised pseudonymised primary care record database.</p><p><strong>Aim: </strong>To describe the potential impact of NHS national data opt-outs in 2021 on health data research.</p><p><strong>Design & setting: </strong>We conducted a descriptive analysis of opt-outs using publicly available data and the potential consequences on research are discussed.</p><p><strong>Method: </strong>Trends in opt-outs in England were described by age, sex, and region. Using a hypothetical study, we explored statistical and epidemiological implications of opt-outs.</p><p><strong>Results: </strong>During the lead up to a key government-led deadline for registering opt-outs (from 31 May 2021-30 June 2021), 1 339 862 national data opt-outs were recorded; increasing the percentage of opt-outs in England from 2.77% to 4.97% of the population. Among females, percentage opt-outs increased by 83% (from 3.02% to 5.53%) compared with 76% in males (from 2.51% to 4.41%). Across age groups, the highest relative increase was among people aged 40-49 years, which rose from 2.89% to 6.04%. Considerable geographical variation was not clearly related to deprivation. Key research consequences of opt-outs include reductions in sample size and unpredictable distortion of observed measures of the frequency of health events or associations between these events.</p><p><strong>Conclusion: </strong>Opt-out rates varied by age, sex, and place. The impact of this and variation by other characteristics on research is not quantifiable. Potential effects of opt-outs on research and consequences for health policies based on this research must be considered when creating future opt-out solutions.</p>","PeriodicalId":36541,"journal":{"name":"BJGP Open","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11523503/pdf/","citationCount":"0","resultStr":"{\"title\":\"NHS national data opt-outs: trends and potential consequences for health data research.\",\"authors\":\"John Tazare, Alasdair D Henderson, Jessica Morley, Helen A Blake, Helen I McDonald, Elizabeth J Williamson, Helen Strongman\",\"doi\":\"10.3399/BJGPO.2024.0020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The English NHS data opt-out allows people to prevent use of their health data for purposes other than direct care. In 2021, the number of opt-outs increased in response to government-led proposals to create a centralised pseudonymised primary care record database.</p><p><strong>Aim: </strong>To describe the potential impact of NHS national data opt-outs in 2021 on health data research.</p><p><strong>Design & setting: </strong>We conducted a descriptive analysis of opt-outs using publicly available data and the potential consequences on research are discussed.</p><p><strong>Method: </strong>Trends in opt-outs in England were described by age, sex, and region. Using a hypothetical study, we explored statistical and epidemiological implications of opt-outs.</p><p><strong>Results: </strong>During the lead up to a key government-led deadline for registering opt-outs (from 31 May 2021-30 June 2021), 1 339 862 national data opt-outs were recorded; increasing the percentage of opt-outs in England from 2.77% to 4.97% of the population. Among females, percentage opt-outs increased by 83% (from 3.02% to 5.53%) compared with 76% in males (from 2.51% to 4.41%). Across age groups, the highest relative increase was among people aged 40-49 years, which rose from 2.89% to 6.04%. Considerable geographical variation was not clearly related to deprivation. Key research consequences of opt-outs include reductions in sample size and unpredictable distortion of observed measures of the frequency of health events or associations between these events.</p><p><strong>Conclusion: </strong>Opt-out rates varied by age, sex, and place. The impact of this and variation by other characteristics on research is not quantifiable. Potential effects of opt-outs on research and consequences for health policies based on this research must be considered when creating future opt-out solutions.</p>\",\"PeriodicalId\":36541,\"journal\":{\"name\":\"BJGP Open\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11523503/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BJGP Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3399/BJGPO.2024.0020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"Print\",\"JCR\":\"Q2\",\"JCRName\":\"PRIMARY HEALTH CARE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJGP Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3399/BJGPO.2024.0020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"Print","JCR":"Q2","JCRName":"PRIMARY HEALTH CARE","Score":null,"Total":0}
NHS national data opt-outs: trends and potential consequences for health data research.
Background: The English NHS data opt-out allows people to prevent use of their health data for purposes other than direct care. In 2021, the number of opt-outs increased in response to government-led proposals to create a centralised pseudonymised primary care record database.
Aim: To describe the potential impact of NHS national data opt-outs in 2021 on health data research.
Design & setting: We conducted a descriptive analysis of opt-outs using publicly available data and the potential consequences on research are discussed.
Method: Trends in opt-outs in England were described by age, sex, and region. Using a hypothetical study, we explored statistical and epidemiological implications of opt-outs.
Results: During the lead up to a key government-led deadline for registering opt-outs (from 31 May 2021-30 June 2021), 1 339 862 national data opt-outs were recorded; increasing the percentage of opt-outs in England from 2.77% to 4.97% of the population. Among females, percentage opt-outs increased by 83% (from 3.02% to 5.53%) compared with 76% in males (from 2.51% to 4.41%). Across age groups, the highest relative increase was among people aged 40-49 years, which rose from 2.89% to 6.04%. Considerable geographical variation was not clearly related to deprivation. Key research consequences of opt-outs include reductions in sample size and unpredictable distortion of observed measures of the frequency of health events or associations between these events.
Conclusion: Opt-out rates varied by age, sex, and place. The impact of this and variation by other characteristics on research is not quantifiable. Potential effects of opt-outs on research and consequences for health policies based on this research must be considered when creating future opt-out solutions.