Health services utilization is a self-developed questionnaire that assesses the use of several physical and mental healthcare services in the past period, such as the general practitioner/doctor, social workers, home care, district nursing, physiotherapist, crisis services, psychiatrist, psychologist, self-help groups, etc.

This is a health data set for the Province of Granada.

SELECTED ECONOMIC CHARACTERISTICS HEALTH INSURANCE COVERAGE - DP03 Universe - Civilian noninstitutionalized population Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 Health insurance coverage in the ACS and other Census Bureau surveys define coverage to include plans and programs that provide comprehensive health coverage. Plans that provide insurance only for specific conditions or situations such as cancer and long-term care policies are not considered comprehensive health coverage. Likewise, other types of insurance like dental, vision, life, and disability insurance are not considered comprehensive health insurance coverage.

Describes the health of people living in the UK across key dimensions: health status, risk factors, ill-health, preventive, curative and long-term care services and mortality. Source agency: Office for National Statistics Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Focus on Health

Public Health Code investigations completed within 120 days.

To inform readers on new developments in methodology affecting official statistics on health, and promote the wider use and understanding of research based on ONS data and other official statistics. Source agency: Office for National Statistics Designation: Supporting material Language: English Alternative title: Health

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The assessment of lifestyle includes assessments of physical activity, sports, and diet.

Data showing self reported bad health in Plymouth.

We collected over 10,087 posts from cancer patients and their caregivers on platforms like Reddit, Daily Strength, and the Health Board. The posts were related to five types of cancer: brain, colon, liver, leukemia, and lung cancer. Two team members scored each post based on the emotions expressed, using a scale from -2 to 1. Negative scores (-1 or -2) were given for posts showing grief or suffering, positive scores (1) for happy emotions like relief or accomplishment, and posts with no emotion received a score of 0 and were considered neutral. This analysis aims to understand the emotional aspects of cancer patients posts for a mental health study.

shows the location of health services in lambeth

Heart Disease is among the most prevalent chronic diseases in the United States, impacting millions of Americans each year and exerting a significant financial burden on the economy. In the United States alone, heart disease claims roughly 647,000 lives each year — making it the leading cause of death. The buildup of plaques inside larger coronary arteries, molecular changes associated with aging, chronic inflammation, high blood pressure, and diabetes are all causes of and risk factors for heart disease. While there are different types of coronary heart disease, the majority of individuals only learn they have the disease following symptoms such as chest pain, a heart attack, or sudden cardiac arrest. This fact highlights the importance of preventative measures and tests that can accurately predict heart disease in the population prior to negative outcomes like myocardial infarctions (heart attacks) taking place

This dataset contains and number of health indicators by neighbourhood. The full description for each health indicator is noticed in Worksheet 1 called IndicatorMetaData. These health indicators include indicators about various types of cancer screening statistics, Dine Safe inspections, fertility and mortality rates and student nutrition are for various periods of time (read the description for more details about who supplied the data and the vintage of the data).

The Health States Classification System for Preschool Children assesses a child's general capabilities, including sight, hearing, speaking, walking and moving around, hands, personal care, emotions, learning and remembering, thinking and solving problems, pain and discomfort, general health and behavior.

The Health Management Information System (HMIS) dataset offers extensive health-related data across healthcare administration levels in Himachal Pradesh. It encompasses information on healthcare services, diseases, maternal and child health, immunization, hospital admissions, and more. Sourced from the National Health Portal under the Ministry of Health & Family Welfare, it provides valuable insights into the healthcare landscape of the state.

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Oral health assesses the health of the child's teeth. It includes items on tooth brushing frequency, visits to the dentist, subjective orthodontic treatment need, type of orthodontic treatment, and subjective result of the orthodontic treatment.

This package consolidates key public health datasets from the Directorate of Health Safety, Government of Himachal Pradesh. It provides comprehensive information on healthcare delivery, welfare schemes, and public health indicators across the state. The data supports evidence-based policy design, resource allocation, and monitoring of community health initiatives.

This data shows premature deaths (Age under 75), numbers and rates by gender, as 3-year moving-averages. All-Cause Mortality rates are a summary indicator of population health status. All-cause mortality is related to Life Expectancy, and both may be influenced by health inequalities. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator ID 108. This data is updated annually.

This indicator measures the health-related quality of life for people who identify themselves as having three or more long-term conditions. Purpose This indicator measures how successfully the NHS is supporting people with multiple long-term conditions to live as normal a life as possible. This indicator helps people understand whether health-related quality of life is improving over time for the population with multiple long-term conditions. Current version updated: Sep-17 Next version due: Aug-18