People aged 15 to 59 years seen at HIV services in the UK, expressed as a rate per 1,000 population.Data is presented by area of residence, and exclude people diagnosed with HIV in England who are resident in Wales, Scotland, Northern Ireland or abroad.RationaleThe geographical distribution of people seen for HIV care and treatment is not uniform across or within regions in England. Knowledge of local diagnosed HIV prevalence and identification of local risk groups can be used to help direct resources for HIV prevention and treatment.In 2008, http://www.bhiva.org/HIV-testing-guidelines.aspx recommended that Local Authority and NHS bodies consider implementing routine HIV testing for all general medical admissions as well as new registrants in primary care where the diagnosed HIV prevalence exceeds 2 in 1,000 population aged 15 to 59 years.In 2017, guidelines were updated by https://www.nice.org.uk/guidance/NG60 which is co-badged with Public Health England. This guidance continues to define high HIV prevalence local authorities as those with a diagnosed HIV prevalence of between 2 and 5 per 1,000 and extremely high prevalence local authorities as those with a diagnosed HIV prevalence of 5 or more per 1,000 people aged 15 to 59 years.When this is applied to national late HIV diagnosis data, it shows that two-thirds of late HIV diagnoses occur in high-prevalence and extremely-high-prevalence local authorities. This means that if this recommendation is successfully applied in high and extremely-high-prevalence areas, it could potentially affect two-thirds of late diagnoses nationally.Local authorities should find out their diagnosed prevalence published in UKHSA's http://fingertips.phe.org.uk/profile/sexualhealth , as well as that of surrounding areas and adapt their strategy for HIV testing using the national guidelines.Commissioners can use these data to plan and ensure access to comprehensive and specialist local HIV care and treatment for HIV diagnosed individuals according to the http://www.medfash.org.uk/uploads/files/p17abl6hvc4p71ovpkr81ugsh60v.pdf and http://www.bhiva.org/monitoring-guidelines.aspx .Definition of numeratorThe number of people (aged 15 to 59 years) living with a diagnosed HIV infection and accessing HIV care at an NHS service in the UK and who are resident in England.Definition of denominatorResident population aged 15 to 59.The denominators for 2011 to 2023 are taken from the respective 2011 to 2023 Office for National Statistics (ONS) revised population estimates from the 2021 Census.Further details on the ONS census are available from the https://www.ons.gov.uk/census .CaveatsData is presented by geographical area of residence. Where data on residence were unavailable, residence have been assigned to the local health area of care.Every effort is made to ensure accuracy and completeness of the data, including web-based reporting with integrated checks on data quality. The overall data quality is high as the dataset is used for commissioning purposes and for the national allocation of funding. However, responsibility for the accuracy and completeness of data lies with the reporting service.Data is as reported but rely on ‘record linkage’ to integrate data and ‘de-duplication’ to prevent double counting of the same individual. The data may not be representative in areas where residence information is not known for a significant proportion of people accessing HIV care.Data supplied for previous years are updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may therefore differ from previous publications.Values are benchmarked against set thresholds and categorised into the following groups: <2 (low), 2 to 5 (high) and≥5 (extremely high). These have been determined by developments in national testing guidelines.The data reported in 2020 and 2021 is impacted by the reconfiguration of sexual health services during the national response to COVID-19.

Reports of Human immunodeficiency virus (HIV) diagnoses, diseases and deaths in HIV-infected persons

Measure the proportion of undiagnosed HIV prevalence in GUM clinics

Association of time-updated factors with incident HIV among 622 GBMSM who completed at least 1 online follow-up questionnaire, 2013–2018*.

A data set that underpins national HIV surveillance.

HIV incidence among GBMSM participating in the AURAH2 prospective study, 2013–2019.

BackgroundTo examine the effect of Sexual Health in Practice (SHIP) training for general practitioners (GPs) on HIV testing rates in Haringey, a deprived area of London, UK, with a population of over 250,000 and HIV prevalence of 0.7% (in 2014). SHIP is an educational intervention delivering peer-developed and peer-led face-to-face training to improve quality of sexual and reproductive health (SRH) care.MethodsWe carried out a quasi-experimental study of intervention effects across 52 GP practices (2008–2016). We used time variation in SHIP intervention exposure for effect estimation, controlling for practice and calendar month fixed effects in panel analysis. From 2008–2010, baseline data were collected, and in the subsequent six-year period, 78 GPs in Haringey (approximately 40% of all GPs) were SHIP trained. 46 Haringey practices (of 52) had at least one trained doctor. Outcome measures were monthly HIV tests and results by practice (obtained from the hospital laboratories).ResultsSHIP significantly increased HIV testing; for every GP trained, practice HIV testing rates increased by 16% (testing rate ratio (TRR) 1.16, 95% confidence interval (CI) 1.05–1.28, p value 0.004). This significant effect was demonstrated using an 8-year observation period, and was sustained over the post-intervention period. An average of 1.42% of HIV tests were positive.ConclusionSHIP training produces a significant and sustained increase in HIV testing for each GP trained. Compared with general population screening, HIV tests used in routine clinical care have a high probability of detecting a positive person. Unlike an RCT, this evaluation is a ‘real life’ measure of the effect that commissioners of SHIP could expect in comparable areas of the UK. The effectiveness of the SHIP training may be related to the programme components not included in interventions that did not demonstrate an effect, such as peer-led teaching, and use of approaches to communication and rapid risk assessment tailored to the setting.

HIV (human immunodeficiency virus) is a virus that damages the cells in your immune system and weakens your ability to fight everyday infections and disease. AIDS (acquired immune deficiency syndrome) is the name used to describe a number of potentially life-threatening infections and illnesses that happen when your immune system has been severely damaged by the HIV virus. While AIDS cannot be transmitted from 1 person to another, the HIV virus can.Free and effective antiretroviral therapy (ART) in the UK has transformed HIV from a fatal infection into a chronic but manageable condition. People living with HIV in the UK can now expect to have a near normal life expectancy if diagnosed promptly and they adhere to treatment. In addition, those on treatment are unable to pass on HIV, even if having unprotected sex (undetectable=untransmissible [U=U]).Data reported in 2020 were impacted by the changes in how people accessed health services, and their reconfiguration during the COVID-19 pandemic, which also resulted in data reporting delays.In 2020, an estimated 97,740 (95% credible interval (95% Crl) 96,400 to 100,060) people were living with HIV in England and an estimated 4,660 in 2020 (95%CrI 3,640 to 6,980) were unaware of their infection.[1] The quality of care received by people living with HIV remained high. For the first time, the UNAIDS 95-95-95 targets[2] were met with 95% of all people diagnosed, 99% of those in care on treatment and 97% of those receiving treatment being virally suppressed in both the UK and England. This means that 91% of all people living with HIV and accessing care were virally suppressed in 2020, surpassing the 73% UNAIDS 90-90-90 substantial target as well as the 86% UNAIDS 95-95-95 substantial target.Overall, 98% (80,250 out of 82,061) of people living with HIV in England with a viral load reported in 2021 were virally suppressed; slightly higher than the proportion of viral suppression seen in both 2019 and 2020 (97%). The number of people living with HIV who were virally suppressed in 2021 (80,250) exceeded the total in both 2019 and 2020 (79,242 and 70,632, respectively).In 2021, 2,955 people were newly diagnosed with HIV in the UK (includes people previously diagnosed abroad), of whom 90% (2,692) were diagnosed in England. The number of all new HIV diagnoses in the UK, decreased by 0.2% from 2,961 in 2020 and a 33%decreasedl from 4,408 in 2019. For England, the equivalent figures were a 0.7% rise from 2,673 (2020) and a 33% fall from 4,017 (2019).

Access front-end to an ORACLE database containing hepatitis, HIV and HTLV testing data

BackgroundMental health professionals play a crucial role in promoting the physical well-being of people with mental illness. Awareness of HIV status can enable professionals in mental health services to provide more comprehensive care. However, it remains uncertain whether mental health professionals consistently document HIV status in mental health records.AimsTo investigate the extent to which mental health professionals document previously established HIV diagnoses of people with mental illness in mental health records, and to identify the clinical and demographic factors associated with documentation or lack thereof.MethodsA retrospective cohort study was conducted using an established data linkage between routinely collected clinical data from secondary mental health services in South London, UK, and national HIV surveillance data from the UK Health Security Agency. Individuals with an HIV diagnosis prior to their last mental health service contact were included. Documented HIV diagnosis in mental health records was assessed.ResultsAmong the 4,032 individuals identified as living with HIV, 1,281 (31.8%) did not have their diagnosis recorded in their mental health records. Factors associated with the absence of an HIV diagnosis included being of Asian ethnicity, having certain primary mental health diagnoses including schizophrenia, being older, being with a mental health service for longer, having more clinical mental health appointments, and living in a less deprived area.ConclusionsA significant number of individuals living with HIV who are receiving mental healthcare in secondary mental health services did not have their HIV diagnosis documented in their mental health records. Addressing this gap could allow mental healthcare providers to support those living with HIV and severe mental illness to manage the complexity of comorbidities and psychosocial impacts of HIV. Mental health services should explore strategies to increase dialogue around HIV in mental health settings.

All new STI diagnoses among people accessing sexual health services* in England. Data represent STI diagnoses among people who are resident in England. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included). Data is expressed as a rate per 100,000 population.*Sexual health services providing STI related care (Levels 1, 2 or 3). Further details on the levels of sexual healthcare provision are provided in the Standards for the Management of STIs.

Rationale A summary figure of all new STI diagnoses.

Definition of numerator The number of new STI diagnoses among people accessing sexual health services in England who are also residents in England.STI data excluding chlamydia is sourced from the GUMCAD STI Surveillance System (Levels 2 and 3). GUMCAD data is reported by SHSs providing STI related care (Levels 2 or 3). Chlamydia data is sourced from GUMCAD (Level 3) and CTAD Chlamydia Surveillance System (Levels 1 and 2), UKHSA. CTAD data is reported by laboratories conducting testing for any service (Levels 1, 2 or 3) providing chlamydia testing.The Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of: chancroid, Lymphogranuloma venereum (LGV), donovanosis, chlamydia, gonorrhoea, first episode anogenital herpes, new HIV diagnosis, molluscum contagiosum, non-specific genital infection (NSGI), pelvic inflammatory disease (PID) and epididymitis: non-specific, scabies and pediculosis pubis, syphilis (primary, secondary and early latent), trichomoniasis, first episode genital warts were used.In 2015, the new STI diagnoses group was expanded to include new codes that were not previously reported via GUMCADv2. The new codes include: Mycoplasma genitalium (C16); Shigella: flexneri, sonnei and unspecified (SG1, SG2, SG3).The clinical criteria used to diagnose the conditions are given at https://www.bashh.org/guidelines .Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service.

Definition of denominator The denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census.Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy.Further details on the ONS census are available from the https://www.ons.gov.uk/census .Caveats Every effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service.Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications.Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.

All infectious syphilis (primary, secondary and early latent) diagnoses among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and includes those residents in England and those with an unknown residence (data for those residents outside of England is not included).*Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/ .RationaleSyphilis is an important public health issue in men who have sex with men (MSM) among whom incidence has increased over the past decade.Definition of numeratorThe number of infectious syphilis (primary, secondary and early latent) diagnoses among people accessing sexual health services in England who are also residents in England.Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of infectious syphilis (primary, secondary and early latent) were used. The clinical criteria used to diagnose the conditions are given at https://www.bashh.org/guidelines .Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between clinics and therefore de-duplication relies on patient consultations at a single service.Definition of denominatorThe denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census.Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy.Further details on the ONS census are available from the https://www.ons.gov.uk/census .CaveatsEvery effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service.Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications.Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.

IntroductionPeople living with HIV (PLWH) now have near-normal life-expectancy, but still experience stigma, and HIV status is treated as sensitive health information. When UK healthcare patient data is curated into anonymised datasets for research, HIV diagnostic codes are stripped out. As PLWH age, we must research how HIV affects conditions of ageing, but cannot do so in current NHS research datasets. We aimed to elicit views on HIV status being shared in NHS datasets, and identify appropriate safeguards.MethodsWe conducted three focus groups with a convenience sample of PLWH recruited through HIV charities, presenting information on data governance, data-sharing, patient privacy, law, and research areas envisaged for HIV and ageing. Each focus group involved two presentations, a question session, and facilitated breakout discussion groups. Discussions were audio-recorded, transcribed and analysed thematically.Results37 PLWH (age range 23-58y) took part. The overarching theme was around trust, both the loss of trust experienced by participants due to previous negative or discriminatory experiences, and the need to slowly build trust in data-sharing initiatives. Further themes showed that participants were supportive of data being used for research and health care improvements, but needed a guarantee that their privacy would be protected. A loss of trust in systems and organisations using the data, suspicion of data users’ agendas, and worry about increased discrimination and stigmatisation made them cautious about data sharing. To rebuild trust participants wanted to see transparent security protocols, accountability for following these, and communication about data flows and uses, as well as awareness training about HIV, and clear involvement of PLWH as full stakeholders on project teams and decision-making panels.ConclusionsPLWH were cautiously in favour of their data being shared for research into HIV, where this could be undertaken with high levels of security, and the close involvement of PLWH to set research agendas and avoid increased stigma.

This data originates from the Public Health Outcomes tool currently presents data for available indicators for upper tier local authority levels, collated by Public Health England (PHE). The data currently published here are the baselines for the Public Health Outcomes Framework, together with more recent data where these are available. The baseline period is 2010 or equivalent, unless these data are unavailable or not deemed to be of sufficient quality. The first data were published in this tool as an official statistics release in November 2012. Future official statistics updates will be published as part of a quarterly update cycle in August, November, February and May. The definition, rationale, source information, and methodology for each indicator can be found within the spreadsheet. Data included in the spreadsheet: 0.1i - Healthy life expectancy at birth0.1ii - Life Expectancy at 650.1ii - Life Expectancy at birth0.2i - Slope index of inequality in life expectancy at birth based on national deprivation deciles within England0.2ii - Number of upper tier local authorities for which the local slope index of inequality in life expectancy (as defined in 0.2iii) has decreased0.2iii - Slope index of inequality in life expectancy at birth within English local authorities, based on local deprivation deciles within each area0.2iv - Gap in life expectancy at birth between each local authority and England as a whole0.2v - Slope index of inequality in healthy life expectancy at birth based on national deprivation deciles within England0.2vii - Slope index of inequality in life expectancy at birth within English regions, based on regional deprivation deciles within each area1.01i - Children in poverty (all dependent children under 20)1.01ii - Children in poverty (under 16s)1.02i - School Readiness: The percentage of children achieving a good level of development at the end of reception1.02i - School Readiness: The percentage of children with free school meal status achieving a good level of development at the end of reception1.02ii - School Readiness: The percentage of Year 1 pupils achieving the expected level in the phonics screening check1.02ii - School Readiness: The percentage of Year 1 pupils with free school meal status achieving the expected level in the phonics screening check1.03 - Pupil absence1.04 - First time entrants to the youth justice system1.05 - 16-18 year olds not in education employment or training1.06i - Adults with a learning disability who live in stable and appropriate accommodation1.06ii - % of adults in contact with secondary mental health services who live in stable and appropriate accommodation1.07 - People in prison who have a mental illness or a significant mental illness1.08i - Gap in the employment rate between those with a long-term health condition and the overall employment rate1.08ii - Gap in the employment rate between those with a learning disability and the overall employment rate1.08iii - Gap in the employment rate for those in contact with secondary mental health services and the overall employment rate1.09i - Sickness absence - The percentage of employees who had at least one day off in the previous week1.09ii - Sickness absence - The percent of working days lost due to sickness absence1.10 - Killed and seriously injured (KSI) casualties on England's roads1.11 - Domestic Abuse1.12i - Violent crime (including sexual violence) - hospital admissions for violence1.12ii - Violent crime (including sexual violence) - violence offences per 1,000 population1.12iii- Violent crime (including sexual violence) - Rate of sexual offences per 1,000 population1.13i - Re-offending levels - percentage of offenders who re-offend1.13ii - Re-offending levels - average number of re-offences per offender1.14i - The rate of complaints about noise1.14ii - The percentage of the population exposed to road, rail and air transport noise of 65dB(A) or more, during the daytime1.14iii - The percentage of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-time1.15i - Statutory homelessness - homelessness acceptances1.15ii - Statutory homelessness - households in temporary accommodation1.16 - Utilisation of outdoor space for exercise/health reasons1.17 - Fuel Poverty1.18i - Social Isolation: % of adult social care users who have as much social contact as they would like1.18ii - Social Isolation: % of adult carers who have as much social contact as they would like1.19i - Older people's perception of community safety - safe in local area during the day1.19ii - Older people's perception of community safety - safe in local area after dark1.19iii - Older people's perception of community safety - safe in own home at night2.01 - Low birth weight of term babies2.02i - Breastfeeding - Breastfeeding initiation2.02ii - Breastfeeding - Breastfeeding prevalence at 6-8 weeks after birth2.03 - Smoking status at time of delivery2.04 - Under 18 conceptions2.04 - Under 18 conceptions: conceptions in those aged under 162.06i - Excess weight in 4-5 and 10-11 year olds - 4-5 year olds2.06ii - Excess weight in 4-5 and 10-11 year olds - 10-11 year olds2.07i - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years)2.07i - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-4 years)2.07ii - Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24)2.08 - Emotional well-being of looked after children2.09i - Smoking prevalence at age 15 - current smokers (WAY survey)2.09ii - Smoking prevalence at age 15 - regular smokers (WAY survey)2.09iii - Smoking prevalence at age 15 - occasional smokers (WAY survey)2.09iv - Smoking prevalence at age 15 years - regular smokers (SDD survey)2.09v - Smoking prevalence at age 15 years - occasional smokers (SDD survey)2.12 - Excess Weight in Adults2.13i - Percentage of physically active and inactive adults - active adults2.13ii - Percentage of physically active and inactive adults - inactive adults2.14 - Smoking Prevalence2.14 - Smoking prevalence - routine & manual2.15i - Successful completion of drug treatment - opiate users2.15ii - Successful completion of drug treatment - non-opiate users2.16 - People entering prison with substance dependence issues who are previously not known to community treatment2.17 - Recorded diabetes2.18 - Admission episodes for alcohol-related conditions - narrow definition2.19 - Cancer diagnosed at early stage (Experimental Statistics)2.20i - Cancer screening coverage - breast cancer2.20ii - Cancer screening coverage - cervical cancer2.21i - Antenatal infectious disease screening – HIV coverage2.21iii - Antenatal Sickle Cell and Thalassaemia Screening - coverage2.21iv - Newborn bloodspot screening - coverage2.21v - Newborn Hearing screening - Coverage2.21vii - Access to non-cancer screening programmes - diabetic retinopathy2.21viii - Abdominal Aortic Aneurysm Screening2.22iii - Cumulative % of the eligible population aged 40-74 offered an NHS Health Check2.22iv - Cumulative % of the eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check2.22v - Cumulative % of the eligible population aged 40-74 who received an NHS Health check2.23i - Self-reported well-being - people with a low satisfaction score2.23ii - Self-reported well-being - people with a low worthwhile score2.23iii - Self-reported well-being - people with a low happiness score2.23iv - Self-reported well-being - people with a high anxiety score2.23v - Average Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) score2.24i - Injuries due to falls in people aged 65 and over2.24ii - Injuries due to falls in people aged 65 and over - aged 65-792.24iii - Injuries due to falls in people aged 65 and over - aged 80+3.01 - Fraction of mortality attributable to particulate air pollution3.02 - Chlamydia detection rate (15-24 year olds)3.02 - Chlamydia detection rate (15-24 year olds)3.03i - Population vaccination coverage - Hepatitis B (1 year old)3.03i - Population vaccination coverage - Hepatitis B (2 years old)3.03iii - Population vaccination coverage - Dtap / IPV / Hib (1 year old)3.03iii - Population vaccination coverage - Dtap / IPV / Hib (2 years old)3.03iv - Population vaccination coverage - MenC3.03ix - Population vaccination coverage - MMR for one dose (5 years old)3.03v - Population vaccination coverage - PCV3.03vi - Population vaccination coverage - Hib / Men C booster (5 years)3.03vi - Population vaccination coverage - Hib / MenC booster (2 years old)3.03vii - Population vaccination coverage - PCV booster3.03viii - Population vaccination coverage - MMR for one dose (2 years old)3.03x - Population vaccination coverage - MMR for two doses (5 years old)3.03xii - Population vaccination coverage - HPV3.03xiii - Population vaccination coverage - PPV3.03xiv - Population vaccination coverage - Flu (aged 65+)3.03xv - Population vaccination coverage - Flu (at risk individuals)3.04 - People presenting with HIV at a late stage of infection3.05i - Treatment completion for TB3.05ii - Incidence of TB3.06 - NHS organisations with a board approved sustainable development management plan3.07 - Comprehensive, agreed inter-agency plans for responding to health protection incidents and emergencies4.01 - Infant mortality4.02 - Tooth decay in children aged 54.03 - Mortality rate from causes considered preventable4.04i - Under 75 mortality rate from all cardiovascular diseases4.04ii - Under 75 mortality rate from cardiovascular diseases considered preventable4.05i - Under 75 mortality rate from cancer4.05ii - Under 75 mortality rate from cancer considered preventable4.06i - Under 75 mortality rate from liver disease4.06ii - Under 75 mortality rate from liver disease considered preventable4.07i - Under 75 mortality rate from respiratory disease4.07ii - Under 75 mortality rate from respiratory disease considered preventable4.08 - Mortality

United Kingdom UK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 10.900 % in 2016. This records a decrease from the previous number of 11.200 % for 2015. United Kingdom UK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 12.200 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 16.400 % in 2000 and a record low of 10.900 % in 2016. United Kingdom UK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;

All diagnoses of first episode genital herpes among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included).*Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/ .RationaleGenital herpes is the most common ulcerative sexually transmitted infection seen in England. Infections are frequently due to herpes simplex virus (HSV) type 2, although HSV-1 infection is also seen. Recurrent infections are common with patients returning for treatment.Definition of numeratorThe number of diagnoses of genital herpes (first episode) among people accessing sexual health services in England who are also residents in England.Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of genital herpes (first episode) were used. The clinical criteria used to diagnose the conditions are given at https://www.bashh.org/guidelines .Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service.Definition of denominatorThe denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census.Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy.Further details on the ONS census are available from the https://www.ons.gov.uk/census .CaveatsEvery effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service.Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications.Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.

All gonorrhoea diagnoses among people accessing sexual health services* in England who are also residents in England, expressed as a rate per 100,000 population. Data is presented by area of patient residence and include those residents in England and those with an unknown residence (data for those residents outside of England is not included).*Sexual health services providing STI related care (Levels 2 and 3). Further details on the levels of sexual healthcare provision are provided in the https://www.bashh.org/about-bashh/publications/standards-for-the-management-of-stis/ .RationaleGonorrhoea causes avoidable sexual and reproductive ill-health. Gonorrhoea is used as a marker for rates of unsafe sexual activity. This is because the majority of cases are diagnosed in sexual health clinics, and consequently the number of cases may be a measure of access to sexually transmitted infection (STI) treatment. Infections with gonorrhoea are also more likely than chlamydia to result in symptoms.Definition of numeratorThe number of gonorrhoea diagnoses among people accessing sexual health services in England who are also residents in England.Episode Activity codes (SNOMED or Sexual Health and HIV Activity Property Types (SHHAPT)) relating to diagnosis of gonorrhoea were used. The clinical criteria used to diagnose the conditions are given at https://www.bashh.org/guidelines .Data was de-duplicated to ensure that a patient received a diagnostic code only once for each episode. Patients cannot be tracked between services and therefore de-duplication relies on patient consultations at a single service.Definition of denominatorThe denominators for 2012 to 2022 are sourced from Office for National Statistics (ONS) population estimates based on the 2021 Census.Population estimates for 2023 were not available at the time of publication – therefore rates for 2023 are calculated using estimates from 2022 as a proxy.Further details on the ONS census are available from the https://www.ons.gov.uk/census .CaveatsEvery effort is made to ensure accuracy and completeness of GUMCAD data, including web-based reporting with integrated checks on data quality. However, responsibility for the accuracy and completeness of data lies with the reporting service.Data is updated on an annual basis due to clinic or laboratory resubmissions and improvements to data cleaning. Data may differ from previous publications.Figures reported in 2020 and 2021 are notably lower than previous years due to the disruption to SHSs during the national response to the COVID-19 pandemic.

United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 84.000 % in 2009. This records an increase from the previous number of 82.000 % for 2008. United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 82.000 % from Dec 1976 (Median) to 2009, with 20 observations. The data reached an all-time high of 84.000 % in 2009 and a record low of 69.000 % in 1989. United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.