This publication provides statistics on the number of unique NHS numbers with an associated national data opt-out. The national data opt-out was introduced on 25 May 2018. It was introduced following recommendations from the National Data Guardian. It indicates that a patient does not want their confidential patient information to be shared for purposes beyond their individual care across the health and care system in England. The service allows individuals to set a national data opt-out or reverse a previously set opt-out. It replaced the previous type 2 opt-outs which patients registered via their GP Practice. Previous type 2 opt-outs have been converted to national data opt-outs each month, until November 2018. This is why the monthly increase in opt-outs decreases from December 2018 onward. This publication includes the number of people who have a national data opt-out, broken down by age, gender and a variety of geographical breakdowns. From June 2020 the methodology for reporting NDOP changed, representing a break in time series. Therefore, caution should be used when comparing data to publications prior to June 2020. The number of deceased people with an active NDOP has been captured and reported for the first time in June 2020. Please note that this publication is no longer released monthly. It is released annually or when the national opt-out rate changes by more than 0.1 per cent. Prior to September 2020 there is a slight inflation of less than 0.05 percent in the number of National Data Opt-outs. This is due to an issue with the data processing, which has been resolved and does not affect data after September 2020. This issue does not disproportionately affect any single breakdown, including geographies. Please take this into consideration when using the data. As of January 2023, index of multiple deprivation (IMD) data has been added to the publication, allowing the total number of opt-outs to be grouped by IMD decile. This data has been included as a new CSV, and has also been added to a new table in the summary file. IMD measures relative deprivation in small areas in England, with decile 1 representing the most deprived areas, and decile 10 representing least deprived. Please note that the figures reported in IMD decile tables will not add up to the national totals. This is because the IMD-LSOA mapping reference data was created in 2019, and any geography codes added since then will not be mapped to an IMD decile. For more information about the reference data used, please view this report: https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019 Management information describes aggregate information collated and used in the normal course of business to inform operational delivery, policy development or the management of organisational performance. It is usually based on administrative data but can also be a product of survey data. We publish these management information to ensure equality of access and provide wider public value.

I am writing to confirm that I have now completed my search for the information which you requested. Request You asked us: I’m writing to submit a request under the Freedom of Information Act. For each of the last 24 months for which data is available, please could you provide the number of NHS Pension Scheme Members who have opted out of the NHS Pension Scheme, along with any ‘reason for opting out’ data that is collected, such as affordability, Annual Allowance / LTA etc. If possible, please provide a breakdown of the monthly figures between: a) Medical Staff under capacity code 03 b) GPs, specifically b) Dental Staff under capacity code 08 d) General Dental Practitioners, Dental Registrars. Consultant Dentists and Dental Surgeons, specifically c) other The NHS Business Services Authority (NHSBSA) received your request on 23 April 2025. We have handled your request under the Freedom of Information Act (FOIA) 2000. Our response The NHSBSA does not hold the requested information split by the categories as specified in your request; however, we do publish a monthly report which provides data about employees in the Employee Staff Record (ESR) choosing to opt-out of the NHS Pension Scheme. https://www.nhsbsa.nhs.uk/information-about-nhs-pensions/nhs-pensions-opt-out-data Publishing this response Please note that this information will be published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-02775 Your personal details will be removed from the published response.

Thank you for your request for information about the following: Please provide a) The number of individuals who opted out of the NHS Pension Scheme in each of the financial years of 2018/19, 2019/20, 2020/21, 2021/22, and 2022/23 b) A breakdown of NHS Pension Scheme opt-outs by the reason stated for their leaving the scheme, for each financial year c) A breakdown of NHS Pension Scheme opt-outs by salary bands, for each financial year d) A breakdown of NHS Pension Scheme opt-outs by age group, for each financial year You clarified your request as follows: Please provide the breakdown in the following agebands: 0-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+

Published: 22 March 2018 - This management information publication reports on patient opt-out information that has been received from GP practices, as of March 2018. There are two types of opt-out. A type 1 opt-out prevents information being shared outside a GP practice for purposes other than direct care. A type 2 opt-out prevents information being shared outside of NHS Digital for purposes beyond the individual's direct care. A more detailed description of opt-outs is available (see related links). Type 1 and type 2 opts-outs are presented at GP practice level. Type 1 opt-outs are reported as instances (i.e. number of times the opt-out code occurs within GP records, which may include the same patient recorded at more than one practice) and there is no way to de-duplicate this information. Levels of type 1 opt-outs are therefore likely to be higher than levels of type 2 opt-outs, which are de-duplicated.

Thank you for your request for information as outlined below: Please could you supply the updated data for ‘Monthly opt-out data and the reasons for opting out’ as was previously published on pg.49 of the NHS-Employers-submissionDDRB-202122. I.e. for each month since June 22, please provide the numbers who have opted out for the reasons of: 1) Total 2) Affordability 3) Annual Allowance/LTA 4) Contributing to another pension scheme 5) In receipt of a fixed or enhanced protection certificate 6) Other 7) Secured retirement income via other means 8) Temporary opt out due to other financial priorities 9) Would prefer not to say

Please could you answer the below queries on the NHS pension scheme including April 2022 to date running totals. Question 1.For all members - on a monthly basis, since Year end 2008, a) how many members have retired, b) of those, how many retired on a voluntary early retirement basis Question 2.For the each of the sub groups; Consultants, GPs, Dental Practitioners - on a monthly basis, since Year end 2008, a) how many members have retired, b) of those, how many retired on a voluntary early retirement basis Question 3.For all members - on a monthly basis, since Year end 2008, a) how many members have opted out of the scheme Question 4. For the each of the sub groups; Consultants, GPs, Dental Practitioners – on a monthly basis, since Year end 2008, a) how many members have opted out of the scheme On 27 April 2022, you clarified the following: Thanks for your email and the different definitions of opt outs. We would class all as opt outs, however it would be very useful to break those numbers down into the differentiated categories that you have identified. We appreciate that members can opt out multiple times. We also appreciate the subgroup categorisations of GP, GDP, Hospital Doctor, Hospital Dentist and the priority order you mention, as well accepting your definition of first payment of award. We amend our request to reflect those. Therefore, please amend our request to: Please could you answer the below queries on the NHS pension scheme including April 2022 to date running totals. Question 1.For all members - on a monthly basis, since Year end 2008, a) how many members have retired, b) of those, how many retired on a voluntary early retirement basis Question 2.For the each of the sub groups; GPs, GDP, Hospital Doctor, Hospital Dentist - on a monthly basis, since Year end 2008, a) how many members have retired, b) of those, how many retired on a voluntary early retirement basis Question 3. For all members - on a monthly basis, since Year end 2008, a) how many members have opted out of the scheme within each of the separate categorizations below: • Member opts out in period – we’ve had no contact since • Member opts out in period, but has since returned now actively contributing • Member opts out in period, but has since returned, though that service has been pensioned • Member opts out in period, but has since returned, and that service is now deferred • Member opts out in period, but has since returned, accrued some more service, and opted out again (currently opted out, or returned again) • Member opts out in period from one post, but remained contributing in another concurrently (technically this isn’t allowed, but I know there are a miniscule amount of scenarios) Question 4. For the each of the sub groups; GPs, GDP, Hospital Doctor, Hospital Dentist - on a monthly basis, since Year end 2008, a) how many members have opted out of the scheme’ using the same categorizations identified in 3)

Please can you provide the number of individuals who opted out of the NHS Pension Scheme in the most recent financial year, 2023/24. I know a similar request has been made for the financial years between 2018/19 and 2022/23, but not for 2023/24, so I would like that information too please. Please can you provide this information in the form of an Excel spreadsheet. Please provide the requested documents by email to the address this request has been made from. Can you please provide this information broken down by the following age bands: 0-19, 20-29, 30-39, 40-49, 50-69, 70 or over. And can you also please break down the information by different bands of total pensionable pay, in whichever pay bands you think are most appropriate or are easiest to provide.

In order to help me not to misrepresent the data, I would like you to provide further details under the Freedom of Information Act. Please provide: a) Divided by total pensionable pay by salary bands, and by the financial years 2018/19, 2019/20, 2020/21, 2021/22, and 2022/23, the number of members who have returned into the scheme, having opted out, in the same financial year b) Divided by total pensionable pay and by salary bands, and by the financial years 2018/19, 2019/20, 2020/21, 2021/22, and 2022/23, the total number of all members in the scheme at the start of the year before considering considering any opt-outs I would also like to clarify for certainty, when you say "Members have been counted once for each financial year (01/04 – 31/03) in which they opted out", does this mean if a member opted out of the scheme in 2018, they would be counted in every year since? Must that member decide at the start of each financial year that they are opting out? I understand it is not a reflection of the members' annual salary. Please provide them in these categories: Under £20,000, £20,000 - £29,999, £30,000 - £39,999, £40,000 - £49,999, £50,000 - £59,999, £60,000 - £69,999, £70,000 - £79,999, £80,000 - £89,999, £90,000 - £99,999 £100,000 and Over On the second point, I am trying to understand the number of members eligible for the scheme at the start of each financial year. If this is not possible, just the number of active members in the scheme in total at the start of each financial year please. Response A copy of the information is attached. Please read the below notes to ensure correct understanding of the data. The scheme year is 1 April to 31 March. Although financial years are mentioned, records are held in Scheme year and have been provided based on 1 April. For part a, the total TPP bracket is not a reflection of the members annual salary. The volumes are of the members that have opted out and returned to the service again during the same scheme year. In case a member opts out multiple times and returns to a post during the same year, it is still considered only once for the count (unless they return in the next year). Part b relates to members who were active at the start of the Scheme year (1st April). This does not represent the members eligible to join (or opt-out) of the scheme. We have no visibility of those members who opt-out of auto-enrolment and have no idea if members who opted out previously are still opted out (and therefore eligible to opt-in and be considered in any calculated 'opt out rate') or have since left NHS employment completely.

This OMOP CDM is built from a flow of primary care data from Cheshire and Merseyside GPs who have signed the ICB Data Sharing Agreement for Population Health. Patients who have signalled that they wish to opt out of their records being shared for secondary uses (i.e. uses beyond Direct Patient Care) are removed as per national data opt-out policy. The source data is refreshed weekly (Sunday evenings) and the data set includes a long list of fields relating to: NHS number, allergies, medications issued, Repeat medications, Covid-19 status, Active and Past Problems, GP Results, Vitals & Measurements (height/weight, BP, physiological function result), Lifestyle factors (smoking and alcohol), GP encounters, vaccinations and immunisations, Contraindications, OTC and Prophylactic Therapy, Family History, Child Health, Diabetes Diagnosis, Chronic Disease Monitoring.

This dataset contains responses from an online survey of 2187 participants primarily located in the UK. All participants stated that they had used the UK National Health Service (NHS) at some time in their lives. The data were collected between December 2018 and August 2019. Participants' views on data sharing - this dataset contains information about people's willingness to share mental and physical health data for research purposes. It also includes information on willingness to share other types of data, such as financial information. The dataset includes participants' responses to questions relating to mental health data sharing, including the trustworthiness of organisations which use such data, how much the presence of different governance measures (such as deidentification, opt-out, etc.) would alter their views, and whether they would be less likely to access NHS mental health services if they knew their data might be shared with researchers. Participants' satisfaction and interaction with UK mental and physical health services - the dataset includes information regarding participants' views on and interaction with NHS services. This includes ratings of satisfaction at first contact and in the previous 12 months, frequency of use, and type of treatment received. Information about participants - the dataset includes information about participants' mental and physical health, including whether or not they have experience with specific mental health conditions, and how they would rate their mental and physical health at the time of the survey. There is also basic demographic information about the participants (e.g. age, gender, location etc.).

This project used a cross-sectional survey method to gather information from GPs practicing in England. As the GP system operates differently in Scotland, Wales and Northern Ireland, these GPs were not included in the study.

The survey was developed based on literature related to GP practice in falls prevention, current falls prevention clinical guidelines, completed Australian studies, and the results of pilot on-line survey, in conjunction with feedback from a group of GPs and a focus group of older people.

All 211 Community Care Groups (CCGs) in NHS England were approached to support the survey, and 4 CCGs opted out. The survey was provided as both a paper survey to 4000 randomly selected GPs and a further 3,200 GPs were invited to participate via an online version of the same survey (using the Bristol Online Survey software). As advised by GP advisors we sent letter to GP practice managers and included an evidence-based invitation letter (as well as participant information sheet) for GPs, in order to enhance response rate.

Survey topics included the perceptions, knowledge and routine practice of GPs in relation to identifying, screening and assessing falls risks in their people, their falls management and referral practices, and barriers and facilitators to them effectively preventing falls in their older people.

The study has contributed to the methodological debate about paper versus online survey response rates. In this study the response rate was equally poor for both versions. Response rate was seemingly higher of GPs from CCGs who had actively endorsed participation in the study.

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Letter to GP practice managers

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Evidence-based letter to GPs

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Participant Information sheet

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Paper copy of Survey

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Spreadsheet of raw data – complete set, paper, online

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Publication reference: McIntyre A, Mackenzie L, Harvey M (2018) Engagement of general practitioners in falls prevention and referral to occupational therapists. British Journal of Occupational Therapy, (online)

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Copy of presentation given at Royal College of Occupational Therapists’ 2017 conference

Proportion of children aged 10 to 11 years classified as overweight or living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

Definition of numerator Number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP with a BMI classified as overweight or living with obesity, including severe obesity (BMI on or above the 85th centile of the UK90 growth reference).

Definition of denominator The number of children in year 6 (aged 10 to 11 years) with a valid height and weight measured by the NCMP.

Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

The general practice census is collected each year and records numbers and details of GPs in England along with information on their practices, staff, patients and the services they provide. This report is one of three that make up the NHS Staff 1995 - 2005 publication. The other two reports are: Non-Medical staff 1995 - 2005 Medical and Dental staff 1995 - 2005 General Practice staff, 30 September 2005 - Detailed Results The detailed results contain further data tables for September 2005 for England, by SHA and PCT. NB A software error was detected in the Exeter payments and registrations bureau which effected all opt-out data. Therefore, data on GP Practice Opt-outs were revised on 24 July 2006. Each table can be downloaded using the following links: Table 1A: Analysis by sex (excluding GP retainers) (Excel, 123Kb) Table 1B: Analysis by type and sex (excluding GP retainers) (Excel, 173Kb) Table 1C: GP retainers (Excel, 165Kb) Table 2: Analysis by commitment and sex (Excel, 76Kb) Table 3: Analysis by age (Excel, 87Kb) Table 4: Analysis of practice staff (Excel, 105Kb) Table 5: Analysis of type of service (Excel, 84Kb) Table 6: Patients - analysis of age (Excel, 73Kb) Table 7: Analysis of practice opt-outs (Excel, 83Kb) Table 8: Analysis of average patient-list size (Excel, 79Kb) Table 9: Analysis of number of partnerships by partnership size Table 10: Analysis of patient registration transactions Primary Care Trusts, Care Trusts and Local Health Boards Table 1: Primary Care Trusts: England Table 2: Local Health Boards: Wales