Patients registered at a GP practice
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Modelled counts of patients registered at a GP practice by single year of age (0-95+), sex, and local authority of residence. These modelled data contain information from NHS Digital, licenced under the current version of the Open Government Licence: 1. Counts of patients by practice attended x sex x LSOA of residence - currently published quarterly 2. Counts of patients by practice attended x sex x single year of age - currently published monthly These data are published by NHS Digital here: [https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice](https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice) Please refer to NHS DIgital documentation for full [data quality](https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice/data-quality-statement) and [metadata](https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice/metadata) information about the original data. The GLA modelled counts of patients by age, sex, and local authority of residence are created by a simple process of apportioning the data for each GP practice in (2) by the distribution for each practice in (1). As residence data is only published quarterly, distributions for other months are interpolated. A respository of the code used to generate the modelled counts is available on GitHub at: [https://github.com/Greater-London-Authority/process-published-nhs-data](https://github.com/Greater-London-Authority/process-published-nhs-data) This data is used as an input to [Modelled estimates of recent births](https://data.london.gov.uk/dataset/modelled-estimates-of-recent-births) **Notes on usage** Patient register data can be used to provide frequent low-latency indicators of changing population trends. However, patient counts should not be interpreted as a direct proxy for population. Patient counts have been prone to compounding inflation in recent years, primarily as a result of failures to remove former patients that have since moved overseas (local inflation/deficits also occur due to delays in patients updating their records or registering with a new GP when moving within the UK). The rate of inflation varies by area, sex, and age, being greatest for: * areas with high volumes of international migration * adults age 20-30 (with the impact spreading to older groups over time) * males - due to typically lower levels of interaction with health services
按单一年龄（0-95岁及以上）、性别以及居住地方行政区划分的全科医生（General Practitioner，GP）诊所注册患者建模计数数据。 本建模数据源自英国国民保健署数字化部门（NHS Digital），并遵循现行版本的开放政府许可协议（Open Government Licence）进行授权使用： 1. 按就诊诊所、性别与居住下层超级输出区（Lower Layer Super Output Area，LSOA）划分的患者计数——目前按季度发布 2. 按就诊诊所、性别与单一年龄划分的患者计数——目前按月发布 上述数据由英国国民保健署数字化部门在此发布：[https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice] 如需了解原始数据完整的数据质量说明与元数据信息，请参阅英国国民保健署数字化部门的相关文档：[数据质量说明](https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice/data-quality-statement)、[元数据文档](https://digital.nhs.uk/data-and-information/publications/statistical/patients-registered-at-a-gp-practice/metadata) 大伦敦当局（Greater London Authority，GLA）所生成的按年龄、性别与居住地方行政区划分的患者建模计数数据，是通过将第(2)项中各全科医生诊所的数据，按照第(1)项中各诊所的分布比例进行分摊后得到的。由于居住相关数据仅按季度发布，因此其余月份的分布数据通过插值法补全。 用于生成该建模计数数据的代码仓库已发布至GitHub：[https://github.com/Greater-London-Authority/process-published-nhs-data] 本数据集可作为[近期出生建模估计值](https://data.london.gov.uk/dataset/modelled-estimates-of-recent-births)的输入数据之一。 ## 使用注意事项 全科医生注册患者数据可用于快速生成反映人口趋势变化的高频低延迟指标。但患者计数不应直接作为人口规模的替代指标。近年来患者计数易出现累积虚高问题，主要原因在于未及时移除已移居海外的既往患者（此外，患者在英国境内迁移时未及时更新就诊记录或注册新全科医生，也会导致局部区域的计数虚高或偏低）。 该虚高率因区域、性别与年龄而异，高发场景包括： * 国际移民规模较大的区域 * 20至30岁的成年群体（其影响会随时间蔓延至年长人群） * 男性群体——因男性群体与医疗服务的互动频率普遍更低
