Indicators of population health and related risk factors from the Scottish Health Survey

The Scottish Health Survey (SHeS) series was established in 1995. Commissioned by the Scottish Government Health Directorates, the series provides regular information on aspects of the public's health and factors related to health which cannot be obtained from other sources. The SHeS series was designed to:

• estimate the prevalence of particular health conditions in Scotland;
• estimate the prevalence of certain risk factors associated with these health conditions and to document the pattern of related health behaviours;
• look at differences between regions and between subgroups of the population in the extent of their having these particular health conditions or risk factors, and to make comparisons with other national statistics for Scotland and England;
• monitor trends in the population's health over time;
• make a major contribution to monitoring progress towards health targets.

Each survey in the series includes a set of core questions and measurements (height and weight and, if applicable, blood pressure, waist circumference, urine and saliva samples), plus modules of questions on specific health conditions that vary from year to year. Each year the core sample has also been augmented by an additional boosted sample for children. Since 2008 NHS Health Boards have also had the opportunity to boost the number of adult interviews carried out in their area.

The Scottish Government Scottish Health Survey webpages contain further information about the series, including latest news and publications.

Comparison of key public health statistics for Scotland, England, Wales and Northern Ireland drawn from the four countries' health surveys. Data relates to 2008 for Scotland, England and Wales and 2005/06 for Northern Ireland. Source agency: Scottish Government Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Scottish Health Survey - Topic Report

Scottish Health Service Costs Source agency: ISD Scotland (part of NHS National Services Scotland) Designation: National Statistics Language: English Alternative title: Scottish Health Service Costs

This open data publication has moved to COVID-19 Statistical Data in Scotland (from 02/11/2022) Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. Clinical presentation may range from mild-to-moderate illness to pneumonia or severe acute respiratory infection. This dataset provides information on demographic characteristics (age, sex, deprivation) of confirmed novel coronavirus (COVID-19) cases, as well as trend data regarding the wider impact of the virus on the healthcare system. Data includes information on primary care out of hours consultations, respiratory calls made to NHS24, contact with COVID-19 Hubs and Assessment Centres, incidents received by Scottish Ambulance Services (SAS), as well as COVID-19 related hospital admissions and admissions to ICU (Intensive Care Unit). Further data on the wider impact of the COVID-19 response, focusing on hospital admissions, unscheduled care and volume of calls to NHS24, is available on the COVID-19 Wider Impact Dashboard. There is a large amount of data being regularly published regarding COVID-19 (for example, Coronavirus in Scotland - Scottish Government and Deaths involving coronavirus in Scotland - National Records of Scotland. Additional data sources relating to this topic area are provided in the Links section of the Metadata below. Information on COVID-19, including stay at home advice for people who are self-isolating and their households, can be found on NHS Inform. All publications and supporting material to this topic area can be found in the weekly COVID-19 Statistical Report. The date of the next release can be found on our list of forthcoming publications. Data visualisation is available to view in the interactive dashboard accompanying the COVID-19 Statistical Report. Please note information on COVID-19 in children and young people of educational age, education staff and educational settings is presented in a new COVID-19 Education Surveillance dataset going forward.

Alcohol-related hospital statistics (ARHS) provide an annual update to figures on the alcohol-related inpatient and day case activity taking place within general acute hospitals and psychiatric hospitals in Scotland. All publications and supporting material to this topic area can be found on the ISD Scotland - Drug and Alcohol Misuse Website. Open Data to this topic is also available on the Scottish Governments open data portal for official statistics statistics.gov.scot. The date of the next release can be found on our list of forthcoming publications.

National, NHS Board, CHP and GP practice reports will be published. Survey will cover experiences of local NHS services,outcomes from treatments, experiences of care and support services. Source agency: Scottish Government Designation: National Statistics Language: English Alternative title: Scottish Health and Care Experience Survey

This dataset is published as Open DataDelivery of frontline healthcare services in Scotland are the responsibility of 14 regional National Health Service (NHS) Boards that report to the Scottish Government. Current boundaries of NHS Health Boards in Scotland are defined by National Health Service (Variation of Areas of Health Boards) (Scotland) Order 2013 (SSI 2013/347), which came into force on April 1st 2014, and replaces the previous definition based upon the former Regions and Districts of the Local Government (Scotland) Act 1973. This change was made in order to re-align Health Boards with the combined area of each Local Authority that they serve. Subsequent changes to Local Authorities will result in corresponding amendments to Health Board boundaries in order to maintain alignment.

BACKGROUND. The UK hosts many of the world's longest running prospective longitudinal birth cohort studies. These projects make repeated observations of their participants and use this data to explore health outcomes and mortality. An alternative method for data collection is record linkage; the linking together of electronic health and administrative records. Applied nationally, this could provide unrivalled opportunities to follow a large number of people in perpetuity. However, public attitudes to the use of data and samples in research are currently unclear. Here we report on an event at which we collected attitudes towards recent opportunities and controversies within health data science. METHODS. The event was attended by ~250 individuals (cohort members and their guests), who had been invited through the offices of their participating cohort studies. Attendees heard talks describing key research results and participated in 15 multiple-choice questions using interactive voting pads. RESULTS. Our participants showed a high level of trust in researchers and doctors, but less trust in commercial companies. They supported the idea of researchers using information from both neonatal blood spots (Guthrie spots) and from health records. Participants said they would be willing to wear devices like a 'fit-bit' and to undergo a brain scan that might predict later mental illness. However, they were less willing to change an aspect of their lifestyle or take a new drug for research purposes. They were very keen to encourage others to take part in research; whether that be offering the opportunity to pregnant mothers or indeed extending invitations to their own children and grandchildren CONCLUSIONS. Our participants were broadly supportive of research access to data and samples, albeit less supportive when commercial interests are involved. Public engagement events that facilitate two-way interactions can influence and support future research and public engagement efforts. Ethical permission for this work was granted by The Psychology Research Ethics Committee (PREC) at the University of Edinburgh (Ref No: 327-1718/3). No identifying data were collected from participating individuals. Videos are publicly available on the CCACE YouTube Channel: https://www.youtube.com/channel/UCaemWVOehYht6pylL9zq4nw

Self-assessed general health by tenure, household type, age, sex and disability. The Scottish Survey Core Questions is an innovative project drawing together multiple household surveys to provide a large sample for subnational analysis.

This statistic displays the distribution of adults who said their general health was very good in Scotland in 2023, by gender and age. In this year, ** percent of men and ** percent of women aged between 35 and 44 years said that their general health was very good.

BackgroundThe availability of robust evidence to inform effective public health decision making is becoming increasingly important, particularly in a time of competing health demands and limited resources. Comparative Risk Assessments (CRA) are useful in this regard as they quantify the contribution of modifiable exposures to the disease burden in a population. The aim of this study is to assess the contribution of a range of modifiable exposures to the burden of disease due to stroke, an important public health problem in Scotland.MethodsWe used individual-level response data from eight waves (1995–2012) of the Scottish Health Survey linked to acute hospital discharge records from the Scottish Morbidity Record 01 (SMR01) and cause of death records from the death register. Stroke was defined using the International Classification of Disease (ICD) 9 codes 430–431, 433–4 and 436; and the ICD10 codes I60-61 and I63-64 and stroke incidence was defined as a composite of an individual’s first hospitalisation or death from stroke. A literature review identified exposures causally linked to stroke. Exposures were mapped to the layers of the Dahlgren & Whitehead model of the determinants of health and Population Attributable Fractions were calculated for each exposure deemed a significant causal risk of stroke from a Cox Proportional Hazards Regression model. Population Attributable Fractions were not summed as they may add to more than 100% due to the possibility of a person being exposed to more than one exposure simultaneously.ResultsOverall, the results suggest that socioeconomic factors explain the largest proportion of incident stroke hospitalisations and deaths, after adjustment for confounding. After DAG adjustment, low education explained 38.8% (95% Confidence Interval 26.0% to 49.4%, area deprivation (as measured by the Scottish Index of Multiple Deprivation) 34.9% (95% CI 26.4 to 42.4%), occupational social class differences 30.3% (95% CI 19.4% to 39.8%), high systolic blood pressure 29.6% (95% CI 20.6% to 37.6%), smoking 25.6% (95% CI 17.9% to 32.6%) and area deprivation (as measured by the Carstairs area deprivation Index) 23.5% (95% CI 14.4% to 31.7%), of incident strokes in Scotland after adjustment.ConclusionThis study provides evidence for prioritising interventions that tackle socioeconomic inequalities as a means of achieving the greatest reduction in avoidable strokes in Scotland. Future work to disentangle the proportion of the effect of deprivation transmitted through intermediate mediators on the pathway between socioeconomic inequalities and stroke may offer additional opportunities to reduce the incidence of stroke in Scotland.

The number of child protection referrals, case conferences, registrations, de-registrations and the number on child protection registers.

Source agency: Scottish Government

Designation: National Statistics

Language: English

Alternative title: Child Protection Statistics, Scotland

Scotland's Health, Housing and Crime Statistics

Exploring Multifaceted Issues with Machine Learning

By [source]

About this dataset

This dataset of 60 Scottish statistical indicators offers the opportunity to explore open government data with machine learning, covering 7 categories – health, social care, housing and crime and justice. Drawn from a total of 6,976 “2011 data zones” in Scotland that provide a variety of information from 2015, it delves into the intricate details of local populations to reveal potential insights. With features on crucial measures such as travel times by car and public transport, chimney fires ratio and educational attainment scores - this dataset provides a rich source of reliable statistics for use in business analysis or policy making. Uncover trends through the exploration of Scottish socio-economic conditions at both an individual and communal scale!

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How to use the dataset

This dataset, entitled Scotland’s Health, Housing and Crime Statistics provides an integrated set of 60 Scottish statistical indicators from seven categories - health, social care, housing, and crime and justice - derived from a total of 6,976 “2011 data zones” in Scotland.

To assist you in exploring these data points we have provided a guide on how to approach and make effective use of the information available.

1. Read through the descriptions of each indicator carefully to understand what each measure is assessing. This will help you determine which indicators may be more relevant to your research topic or project objectives.

2. Consider the time period covered by the dataset – this gives you an indication as to how up-to-date or recent these measures are likely to be; it also provides context for interpreting their accuracy within a given frame of reference e.g., if the measures are captured across five years then they represent changes over time rather than snapshots in one particular year only).

3. Compare different indicators – look for correlations between variables that suggest either higher incidents or risk factors being related in some way or other; likewise bear any traditional assumptions associated with certain topics at bay as there may possibly exist divergent patterns in this analysis that challenge existing ideas about certain subject matter areas (this could offer significant insight into new insights for further research investigations).

4. Use visualisations when exploring your data points; graphical representations can often demonstrate patterns intuitively which helps paint a broader picture around key themes within your research question(s) that might explain causation issues such as root causes etc.. .

5. Explore regional differences too – breaking down aggregate measures into subcomponents like geography (e..g province/region/state level), gender etc., can provide potential areas where localised interventions can be implemented with greater focus moving forward according to differing needs arising across different places/groups with different characteristics associated on them (eag population health disparities exist). Furthermore when exploring regional differences you should also take temporal aspects into consideration e..g whether levels measured today vary significantly from comparable numbers observed during previous periods or vice versa)

Research Ideas

• Identifying correlations between different statistical indicators to develop an overall health report for each data zone in Scotland. By analyzing both health and housing indicators, a comprehensive view of the living conditions in each area can be obtained, providing the government with insights for appropriate policy interventions.
• Predictive modeling to analyze future crime trends based on existing crime data from various locations across Scotland. This could help governments plan better security measures and allocate resources more effectively in order to protect their population more efficiently.
• Extensive use of machine learning algorithms such as clustering and classification on this dataset could give insight into whether certain indicator values are predictors of other values or not, which could then be used directly by governments when making economic policies associated with these values (e.g., housing prices). Furthermore, a comparison between actual outcomes with those predicted by models based on the dataset could be done easily to adjust policies appropriately according to real-time findings if needed

Acknowledgements

If you use this data...

Summary of discharges from hospital and deaths in Scotland resulting from a heart condition (including coronary heart disease, heart attack, heart failure and angina). All publications and supporting material to this topic area can be found on the PHS Heart Disease Website. Further information on heart disease can be found in the recent annual publication. The date of the next release can be found on our list of forthcoming publications.

Statistical release published by the Scottish Government detailing cancer waiting-time statistics for urgently-referred patients by tumour site and NHS board.

Source agency: Scottish Government

Designation: National Statistics

Language: English

Alternative title: Cancer Waiting Times, Scotland

Drug-related hospital statistics (DRHS) provide an annual update to figures on the drug-related inpatient and day case activity taking place within general acute hospitals in Scotland. All publications and supporting material to this topic area can be found on PHS - Substance use. The date of the next release can be found on our list of forthcoming publications.

The Scottish Health and Care Experience survey asks about peoples’ experiences of accessing and using their General Practice and other local healthcare services; receiving care, support and help with everyday living; and caring responsibilities. The survey is run in partnership by the Scottish Government and Public Health Scotland. Both the Scottish Government and Public Health Scotland are involved in the planning and organisation of the survey, as well as analysing and reporting on the survey responses.

The survey covers five areas of health and care experience:

1)Your General Practice 2)Treatment or advice from your General Practice 3)Out of hours healthcare 4)Care, support and help with everyday living 5) Caring responsibilities

A range of statistics that will vary each quarter, also includes data updated annually. Until December 2011 this publication was split as individual titles -Dispenser renumeration -Drugs indicated in the treatment of obesity -Drugs used rheumatic diseases and gout -Medicines used in mental health -Minor ailments service -Prescribing of smoking cessation interventions -Prescription charge analysis (abolished on the 1st April 2011) -Prescription cost analysis Source agency: ISD Scotland (part of NHS National Services Scotland) Designation: National Statistics Language: English Alternative title: NHS Scotland Prescribing Statistics

This dataset provides annual cervical screening statistics in Scotland, including information on uptake by age group and NHS Board. In addition, data are presented on laboratory turnaround times, number of screening tests and results of tests by NHS Board and laboratory. From the financial year 2016/2017, cervical screening is routinely offered to women aged 25-64 in Scotland; those aged 25-49 every three years and those aged 50-64 every five years. Further information on cervical screening in Scotland can be found in the most recent annual publication. The date of the next release can be found on our list of forthcoming publications.