Abstract Based on the analysis of discursive practices, this article aims to outline the link between the right to oral health and the right to health contained in the Liverpool Declaration. An examination of this document identified the incorporation of the precepts of the normative-theoretical framework of the right to health, as set out by the Committee on Economic, Social and Cultural Rights. The Liverpool Declaration does not agree completely with the precepts of the aforementioned reference, although it expresses oral health as a human right in its preamble. Considering that the Liverpool Declaration focuses on the obligations of states, it is important that it is based on this normative-theoretical framework. Such measure would confer a more consistent ethical and legal basis, as well as contributing to the consolidation of global recognition of the fact that the right to oral health is a human right.

A monthly-updated list of all financial transactions spending over £25,000 made by Liverpool Community Health NHS Trust, as part of the Government's commitment to transparency in expenditure.

A cross-sectional design was used where 86 residents of East Liverpool, Ohio, 100 residents from Marietta, Ohio and 90 residents from Mount Vernon, Ohio were recruited and participated in the study. The Marietta/Mount Vernon data collection took place in August, 2009 as this was the original study _location. Marietta was an air manganese (air-Mn) exposed community and Mt. Vernon was a comparison community believed to have little or no air-Mn exposure. After receiving additional funding and approvals, East Liverpool was added and data collection occurred in November, 2011 using identical study protocols to the Marietta/Mount Vernon study with the exception of additional specimen collections of hair and toenails (only collected in East Liverpool). All participants underwent a neuropsychological battery of tests of mood, motor and cognitive function. A comprehensive health questionnaire was administered inquiring about sociodemographics, symptoms, diagnosed illnesses, medication use, health habits, work history, and dietary consumption (used to compute dietary intake of Mn and Fe). Additionally, the study included data acquisition on air monitoring and modeling, biomarkers, and health. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Because this data set includes protected health information, public access is not available. Format: csv files. This dataset is associated with the following publication: Bowler, R., S. Adams, C. Wright, Y. Kim, A. Booty, M. Colledge, V. Gocheva, and D. Lobdell. Medication Use Associated with Exposure to Manganese in Two Ohio Towns. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH. Carfax Publishing Limited, Basingstoke, UK, 26(5): 483-96, (2016).

This is feather format data of the compeition University of Liverpool - Ion Switching. Please refer the kernel Convert to feather format for fast data loading for its creation scripts & its usage.

Bathing facilities and health phronesis: tackling English obesity. Mixed methods sequential research in five phases.
Research questions and hypotheses • RQ1: Does the geospatial distribution of swimming facilities impact health? (Nomothetic). (H10: Pools is insignificant vs. H1A: Pools is significant) • RQ2: Is the construction of swimming pools adequate for national health need? (Nomothetic). (H20: Forecast pool construction stable vs. H2A: Forecast pool construction increases) • RQ3: What policy learning emerges from idiosyncratic cases? (Idiographic & qualitative) Approach After problematisation (1) and structured literature review (2), the study conducted cross-sectional analysis of excess mortality and swimming pools (3a & 3b) and longitudinal analysis of pool construction (3c-e). Cross-sectional investigation involved factor analysis (3a) to explore and regression to analysis (3b) to investigate English mortality and its covariates (3b). The For the time series analysis, the study analysed 120 years of English pool construction data using autoregressive distributed lag models - ARIMA (3c), ADL (3d) and ECM (3e).
Data Cross sectional analysis Deaths (DV, Yd): ONS standardised mortality ratio (2013-2017). Observed total deaths from all causes (by five year age and gender band) as a percentage of expected deaths.
Access Leisure (IV, X1): reflects accessibility to 727 leisure centres, swimming baths or 2,738 health clubs in kilometres. Liverpool University’s Consumer Data Research Centre, Access to Healthy Assets and Hazards (AHAH) index. Obesity (IV, X2): percentage of adult population with a body mass index (BMI) of 30 kg/m2 or higher, age-standardized, WHO 2389 NCD_BMI_30 (2020). Deprivation (IV, X3): deprivation score for English small areas, sourced from Index of Multiple Deprivation (2019). Environment (IV, X4) measures accessible blue and green space, sourced via SE (2020), data constitutes an element of AHAH (2017).
Pools (IV, X5): reflects pools per 10,000 in 2018. Data extracted from SE Active Places Power (APP) Time series analysis Pools constructed (PC & ∆PC): English swimming pools constructed each year during a 120 year period since 1900, SE Active Places Power (2020) database. English output (GDP & ∆GDP): Bank of England millennium of macroeconomic data UK (2017) provides historical macroeconomic and financial statistics.
English population (Pop & ∆Pop): English population and population growth 1900-2020, Office for National Statistics (ONS): Total population (2018).

Football has been instrumental in promoting sexual and reproductive health in low- and middle-income countries. The Liverpool Football Club Foundation (LFC Foundation) and the Liverpool School of Tropical Medicine (LSTM) recently completed the second year of their 2.5-year Health Goals Malawi project. Initially aimed at reducing HIV and other sexually transmitted infections (STIs) among teenage boys and young men in Malawi, a similar initiative was launched in disadvantaged areas of Liverpool, where STI rates and early pregnancies are notably high. The project's objectives included developing a comprehensive curriculum with coaching materials and resources, aiming to integrate this curriculum into the LFC Foundation's regular activities in Liverpool schools if successful. Activities involved six weeks of football training and coaching in various schools, football tournaments, and project evaluations with children and coaches. An annual survey of participants was also conducted. The collection consists of survey data. The survey covered demographic factors and relationship and sex education experience (all participants), and questions on awareness of and access to contraceptives, knowledge related to contraception and STIs, attitudes related to contraception and relationships, and condom self-efficacy (participants aged 14-19 only). The survey was adapted from the World Health Organisation’s “Illustrative questionnaire for interview-surveys with young people” and included 72 respondents.

Football is often used to promote sexual and reproductive health in low- and middle-income countries. In fact, the Liverpool Football Club Foundation (LFC Foundation) and the Liverpool School of Tropical Medicine (LSTM) are in the second year of their 2.5-year Health Goals Malawi project. The project’s initial goal was to reduce the incidence of HIV and other sexually transmitted infections (STI) among teenage boys and young men in Malawi.

They have decided to run a similar project in disadvantaged areas of Liverpool because the city has the second-highest rate of new STI diagnoses in northwest England. Rates of early pregnancy are also higher than the national average. There is a strong correlation between early pregnancy and socio‑economic deprivation. Teenage pregnancy can be both a cause and a consequence of health and education inequalities. High-quality relationship and sex education is therefore crucial to address such inequalities.

The main drivers of these inequalities are:

Persistent school absence before year 9 (pupils aged 13 and 14) Relatively slow academic progress Poverty Football is used for three reasons:

The strength of the Liverpool FC brand in the city engages these socially vulnerable children aged 11 to 16. As football is the most popular sport in Liverpool, participants will be highly motivated to attend in order to develop their skills. Football drills and games can lead to discussions about key topics. Project content The project will focus on:

relationship and sex education programmes in schools and colleges, with targeted prevention for at-risk youngsters of both sexes training on relationships and sexual health for health and non-health professionals, e.g. sports coaches using the influence of community sports coaches and the LFC Foundation brand to engage young people, emphasising the importance of positive male and female role models developing an innovative method of delivering relationship and sex education, with a particular emphasis on overcoming health and educational inequalities by reaching out to the most at-risk young people Objectives A clear and comprehensive curriculum will be developed with coaching materials and resources. If this project is successful, the curriculum will be integrated into the day-to-day work of the LFC Foundation with schools throughout Liverpool.

If this approach proves to be effective, the teen pregnancy rate could be reduced.

Project activities Six weeks of football training and coaching provided in different schools Football tournaments Project evaluation with the children and coaches involved Annual survey of participants Expected results Some 300 children aged 11 to 16 years, 50% of whom are to be girls, are to take part in project activities. The participants will include children with disabilities and poor mental health.

Samples & data for following diseases: Carcinoma in situ of breast,Malignant lymphoma ,Malignant eye melanoma,Malignant oral cavity tumour,Malignant urinary bladder tumour,Malignant breast tumour and others. Full list in Description...

A cross-sectional design was used where 86 residents of East Liverpool, Ohio, 100 residents from Marietta, Ohio and 90 residents from Mount Vernon, Ohio were recruited and participated in the study. The Marietta/Mount Vernon data collection took place in August, 2009 as this was the original study location. Marietta was an air manganese (air-Mn) exposed community and Mt. Vernon was a comparison community believed to have little or no air-Mn exposure. After receiving additional funding and approvals, East Liverpool was added and data collection occurred in November, 2011 using identical study protocols to the Marietta/Mount Vernon study with the exception of additional specimen collections of hair and toenails (only collected in East Liverpool). All participants underwent a neuropsychological battery of tests of mood, motor and cognitive function. A comprehensive health questionnaire was administered inquiring about sociodemographics, symptoms, diagnosed illnesses, medication use, health habits, work history, and dietary consumption (used to compute dietary intake of Mn and Fe). Additionally, the study included data acquisition on air monitoring and modeling, biomarkers, and health. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Because this dataset includes protected health information, public access is not available. Format: csv files. This dataset is associated with the following publication: Kornblith, E., S. Casey, D. Lobdell, M. Colledge, and R. Bowler. Environmental exposure to manganese in air: Tremor, motor and cognitive symptom profiles. NEUROTOXICOLOGY. Elsevier B.V., Amsterdam, NETHERLANDS, 64: 152-158, (2018).

Results presented as number in each group with proportion (%) or Median (range) grouped by Liverpool outcome score (LOS) at follow-up; LOS 2 or 3 represents Severe or Moderate impairment; LOS 4 or 5 represents Mild or No Impairment; US$, United Sates Dollars.*§‡Significant difference in median values or proportion of patients between ‘LOS 2 or 3’ and ‘LOS 4 or 5’ groups (p = 0.048*, p = 0.004§ and p = 0.007‡ respectively). Significance measured via Mann Whitney U or Fisher's Exact Test.†15 participants provided specific information on admission medication cost.¶29 participants provided information on discharge medication costs.

Details for each dataset provided in Glossary.txt Data scrapped from https://fbref.com Image: https://www.dailymail.co.uk

The National Diabetes Audit (NDA) is part of the National Clinical Audit and Patient Outcomes Programme (NCAPOP) which is commissioned by the Healthcare Quality Improvement Partnership (HQIP) and funded by NHS England. The NDA is managed by NHS Digital in partnership with Diabetes UK. The NDA measures the effectiveness of diabetes healthcare against NICE Clinical Guidelines and NICE Quality Standards, in England and Wales. The NDA collects, analyses and reports data for use by primary care and specialist services, local and national commissioners to support change and improvement in the quality of services and health outcomes for people with diabetes. This data release includes the care process and treatment target measurements for 2019-20 (1st January 2019 – 31st March 2020). Data were collected during May and June 2020. The national report, scheduled for 2021, will contain commentary on the audit findings and recommendations. We will communicate to users when the publication date for this report has been finalised. GP practice participation in England and Wales has increased from 98.0 per cent in 2018-19 to 99.2 per cent in 2019-20. Diabetes specialist service participation stands at 98 services in 2019-20. For NDA 2019-20, Diabetes Eye Screening (DES) data has been collected directly from DES providers for the first time. All but one DES provider in England (Liverpool) successfully submitted data, although three providers made partial submissions. For Liverpool, eye examination information secondarily recorded in Primary Care systems has been used, which is likely to be incomplete. The new 'Retinal Screening' care process measure appears in the care process and treatment targets worksheets and also feeds into the new 'All Nine Care Processes' measure, which is reported in addition to the longstanding ‘All Eight Care Processes'. Please note that there is a potential issue with the SNOMED codes used to identify if a person has had their serum creatinine care process check. Two serum/plasma creatinine codes were removed from the NDA creatinine code set during the universal SNOMED code refresh. This has affected the measurement of creatinine care process completion in a small number of health economies, and thereby has the potential to influence the all eight/nine care process percentages for organisations/areas that still use these codes. To resolve the issue, the NDA business rules are currently being amended to add these codes back into future NDA data extractions.

This data is about the Liverpool FC player statistics for the ongoing 2023-24 season. This is a mid-season data from https://www.anfield-online.co.uk/stats/lfc-stats.html

Below are the attributes of this data. Player Name - Name of the Liverpool Player Appearance_Total - Total no. of games played in this season Appearance_Starts - Total no. of games started in this season Appearance_Subs - Total no. of games played as a substitute in this season Appearance_UnusedSubs - Total no. of games where the player was part of the substitute but never played. No of Goals - Total no. of goals scored No of Assists - Total no. of assists MatchTime (mins) - Total mins played Mins per goal - Average time taken to convert a goal Yellow cards - Total no. of yellow card offense Red cards- Total no. of red card offense

BackgroundAiming to contribute to prevention of cardiovascular disease (CVD), the National Health Service (NHS) Health Check programme has been implemented across England since 2009. The programme involves cardiovascular risk stratification—at 5-year intervals—of all adults between the ages of 40 and 74 years, excluding any with preexisting vascular conditions (including CVD, diabetes mellitus, and hypertension, among others), and offers treatment to those at high risk. However, the cost-effectiveness and equity of population CVD screening is contested. This study aimed to determine whether the NHS Health Check programme is cost-effective and equitable in a city with high levels of deprivation and CVD.Methods and findingsIMPACTNCD is a dynamic stochastic microsimulation policy model, calibrated to Liverpool demographics, risk factor exposure, and CVD epidemiology. Using local and national data, as well as drawing on health and social care disease costs and health-state utilities, we modelled 5 scenarios from 2017 to 2040: Scenario (A): continuing current implementation of NHS Health Check;Scenario (B): implementation ‘targeted’ toward areas in the most deprived quintile with increased coverage and uptake;Scenario (C): ‘optimal’ implementation assuming optimal coverage, uptake, treatment, and lifestyle change;Scenario (D): scenario A combined with structural population-wide interventions targeting unhealthy diet and smoking;Scenario (E): scenario B combined with the structural interventions as above.We compared all scenarios with a counterfactual of no-NHS Health Check.Compared with no-NHS Health Check, the model estimated cumulative incremental cost-effectiveness ratio (ICER) (discounted £/quality-adjusted life year [QALY]) to be 11,000 (95% uncertainty interval [UI] −270,000 to 320,000) for scenario A, 1,500 (−91,000 to 100,000) for scenario B, −2,400 (−6,500 to 5,700) for scenario C, −5,100 (−7,400 to −3,200) for scenario D, and −5,000 (−7,400 to −3,100) for scenario E. Overall, scenario A is unlikely to become cost-effective or equitable, and scenario B is likely to become cost-effective by 2040 and equitable by 2039. Scenario C is likely to become cost-effective by 2030 and cost-saving by 2040. Scenarios D and E are likely to be cost-saving by 2021 and 2023, respectively, and equitable by 2025. The main limitation of the analysis is that we explicitly modelled CVD and diabetes mellitus only.ConclusionsAccording to our analysis of the situation in Liverpool, current NHS Health Check implementation appears neither equitable nor cost-effective. Optimal implementation is likely to be cost-saving but not equitable, while targeted implementation is likely to be both. Adding structural policies targeting cardiovascular risk factors could substantially improve equity and generate cost savings.

A monthly updated list of all financial transactions spending over £25,000 made by Liverpool Heart and Chest Hospital NHS Foundation Trust

This indicator compares the odds of mortality within 30 days of admission for patients admitted at the weekend (Saturday and Sunday) to the odds of mortality within 30 days of admission for patients admitted midweek (Tuesday, Wednesday and Thursday). Corresponding results comparing patients admitted during the transition period (Monday and Friday) to patients admitted midweek are also provided as contextual information, along with results including only emergency admissions. The results are presented as odds ratios. The methodology used in the analysis presented here was developed by University Hospitals Birmingham NHS Foundation Trust. It is based on the methodology presented in Freemantle et al. (Freemantle N, Ray D, Mcnulty D, et al. Increased mortality associated with weekend hospital admission: a case for expanded seven day services? BMJ 2015; 351: h4596) with some modifications to facilitate the measurement of variation in mortality outcomes for patients admitted at the weekend compared to those admitted during the week at the level of individual hospital trusts. From April 2020, the Department of Health and Social Care (DHSC) is no longer commissioning NHS Digital to produce these indicators. Therefore, no further publications in this series are planned. Notes: 1. There is a shortfall in the number of records for Tameside and Glossop Integrated Care NHS Foundation Trust (trust code RMP) and University College London Hospitals NHS Foundation Trust (trust code RRV) meaning that results for these trusts are based on incomplete data and should therefore be interpreted with caution. 2. From this publication onwards, the adjustment for deprivation uses the 2019 version of the Index of Multiple Deprivation (IMD). Previous releases of this indicator used the 2015 version. Further information is available in the statement of methodological changes (see Resources). 3. The following mergers took place on 1st October 2019: Cumbria Partnership NHS Foundation Trust (trust code RNN) merged with North Cumbria University Hospitals NHS Trust (trust code RNL). The new trust is called North Cumbria Integrated Care NHS Foundation Trust (trust code RNN). Aintree University Hospital NHS Foundation Trust (trust code REM) merged with Royal Liverpool and Broadgreen University Hospitals NHS Trust (trust code RQ6). The new trust is called Liverpool University Hospitals NHS Foundation Trust (trust code REM). However, as we received notification of these changes after data processing for this publication began, separate indicator values have been produced for this publication. The next publication in this series will reflect the updated organisation structures. 4. Further information on data quality can be found in the Seven-day Services background quality report, which can be downloaded from the ‘Resources’ section of the publication page. Further guidance on the interpretation of the indicators is also available to download from that page. 5. This tool is in Microsoft Power BI which does not fully support all accessibility needs. If you need further assistance, please contact us for help.

A monthly-updated list of all financial transactions spending over £25,000 made by Royal Liverpool and Broadgreen University Hospital NHS Trust , as part of the Government's commitment to transparency in expenditure.

This file includes all GRADE evidence profiles for the following Cochrane review:

van Ginneken N, Chin WY, Lim YC, Ussif A, Singh R, Shahmalak U, Purgato M, Rojas-García A, Uphoff E, McMullen S, Foss HS, Thapa Pachya A, Rashidian L, Borghesani A, Henschke N, Chong L-Y, Lewin S. Primary-level worker interventions for the care of mental disorders and distress in low- and middle-income countries. Cochrane Database of Systematic Reviews. In press

Valuation report, contamination assessment report, property purchase documents, demolition and site remediation documents, site photos (pre and post).

Eine monatlich aktualisierte Liste aller Finanztransaktionen, die von Royal Liverpool und Broadgreen University Hospital NHS Trust im Rahmen der Verpflichtung der Regierung zur Transparenz der Ausgaben getätigt wurden.

The system of sickness certification in the United Kingdom was changed in 2010, with the 'fit note' replacing the 'sick note'. The new medical statement provided an opportunity for all interested parties (general practitioner, patient, employer) to agree on the type and amount of work a patient/employee might be able to do (with the appropriate level of support). The Department for Work and Pensions (DWP) commissioned a national evaluation of the fit note, aimed at investigation of factors associated with long-term episodes of certified sickness and strengthening of the evidence base relating to relationship between work and health. The evaluation was conducted by research staff at Division of Health Services Research, University of Liverpool, and the Institute for Employment Studies, Brighton. Forty-nine general practices were recruited to participate in the evaluation (10 in Wales, 7 in Scotland, 12 in Derbyshire, 9 in North West England and 11 in South East England (excluding London). Because fit note data is not usually routinely collected at general practices, the evaluation used 'carbonised' pads of fit notes at each of the 49 participating practices. These pads enabled details of an issued fit note to be retained on a separate sheet. Details of each fit note were anonymised and entered into a data collection template by a member of the practice administrative staff. Data files from each practice were uploaded monthly to a secure central project website. Practices were requested to collect and record data for a period of 12 months.

Further information about the evaluation can be found on the gov.uk Evaluation of the Statement of Fitness for Work webpage.