Morocco MA: Physicians: per 1000 People data was reported at 0.618 Ratio in 2014. This records a decrease from the previous number of 0.620 Ratio for 2010. Morocco MA: Physicians: per 1000 People data is updated yearly, averaging 0.217 Ratio from Dec 1960 (Median) to 2014, with 17 observations. The data reached an all-time high of 0.652 Ratio in 2009 and a record low of 0.054 Ratio in 1981. Morocco MA: Physicians: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;

MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data was reported at 63.000 % in 2017. This records a decrease from the previous number of 67.000 % for 2016. MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data is updated yearly, averaging 62.500 % from Dec 2010 (Median) to 2017, with 8 observations. The data reached an all-time high of 70.000 % in 2012 and a record low of 46.000 % in 2011. MA: Antiretroviral Therapy Coverage for PMTCT: % of Pregnant Women Living with HIV data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Health Statistics. Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT).; ; UNAIDS estimates.; Weighted average;

Please note: This is a Synthetic data file, also known as a Dummy file - it is not real data. This synthetic file should not be used for purposes other than to develop an test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preperation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Resource Data Centres. In the fall of 1991, the National Health Information Council recommended that an ongoing national survey of population health be conducted. This recommendation was based on consideration of the economic and fiscal pressures on the health care systems and the requirement for information with which to improve the health status of the population in Canada. Commencing in April 1992, Statistics Canada received funding for development of a National Population Health Survey (NPHS). The NPHS collects information related to the health of the Canadian population and related socio-demographic information to: aid in the development of public policy by providing measures of the level, trend and distribution of the health status of the population, provide data for analytic studies that will assist in understanding the determinants of health, and collect data on the economic, social, demographic, occupational and environmental correlates of health. In addition the NPHS seeks to increase the understanding of the relationship between health status and health care utilization, including alternative as well as traditional services, and also to allow the possibility of linking survey data to routinely collected administrative data such as vital statistics, environmental measures, community variables, and health services utilization. The NPHS collects information related to the health of the Canadian population and related socio-demographic information. It is composed of three components: the Households, the Health Institutions, and the North components. The Household component started in 1994/1995 and is conducted every two years. The first three cycles (1994/1995, 1996/1997, 1997/1998) were both cross-sectional and longitudinal. The NPHS longitudinal sample includes 17,276 persons from all ages in 1994/1995 and these same persons are to be interviewed every two years. Beginning in Cycle 4 (2000/2001) the survey became strictly longitudinal (collecting health information from the same individuals each cycle). The cross-sectional and longitudinal documentation of the Household component is presented separately as well as the documentation for the Health Institutions and North components. The cross-sectional component of the Population Health Survey Program has been taken over by the Canadian Community Health Survey (CCHS). With the introduction of the Canadian Community Health Survey (CCHS), there were many changes to the 2000-2001 National Population Health Survey - Household questionnaire. Since NPHS is strictly a longitudinal survey, some content was migrated to the CCHS (such as the two-week disability section and certain questions on place where health care was provided) or was dropped (e.g. certain chronic conditions), while the order of the questionnaire changed. As only the longitudinal respondent is now surveyed, it was no longer necessary to distinguish between the General questionnaire and the Health component. Health Canada, Public Health Agency of Canada and provincial ministries of health use NPHS longitudinal data to plan, implement and evaluate programs and health policies to improve health and the efficiency of health services. Non-profit health organizations and researchers in the academic fields use the information to move research ahead and to improve health.

World-readable Google Sheet with geographical master data for Guinea, including ADM1/2/3 p-codes and links to GeoJSON shape files. HXL tagged. Also includes list of known Guinea health facilities, a list of IPC partner organisations, and code lists for sector (public/private) and infection-control training type. Used by the Guinea health facility training activities dataset.

Local Law 14 (2016) requires that the NYCDOE provide citywide Health Education data, disaggregated by community school district, city council district and each individual school. This reports provides information about the number and percent of students receiving one semester of health education as defined in local law 14 as reported through 2015-2016 STARS database. It includes school level data on number of 6-8 graders that received a semester of health instruction as well as number of 8th graders meeting the middle school health requirements for 2015-16 school year. This regulation does not require students to receive health instruction at any particular grade level in middle school, only prior to completing 8th grade and a student may advance without completing the course.

Abstract: Introduction: COVID-19 has brought numerous challenges for the Health System in Brazil. In Primary Health Care, these challenges add to those that already exist. Objective: To analyze the experience of facing the COVID-19 pandemic among doctors of the Mais Médicos Brasil Program and master’s degree students in Family Health and those working in Primary Health Care. Methods: Qualitative study involving eight doctors from Primary Health Care in Alagoas who are also studying the professional master’s degree in Family Health (PROFSAÚDE). Five questions were developed, the answers to which were analyzed based on Content Analysis theory. Results: Three categories and four subcategories were observed: Category 1 - Study and work process (Subcategory 1.1- Characteristics of PROFSAÚDE; Subcategory 1.2 - Personal strategies developed); Category 2 - Challenges in Life Management (Subcategory 2.1 - Changes in daily life; Subcategory 2.2 - Impact on emotions) and Category 3 - Personal and Professional Growth. Conclusion: During the pandemic, medical professionals experience complex and dynamic situations due to a dual and cumulative process - working in PHC and studying for their master’s degree. Despite all the difficulties faced, the master’s degree allowed them to improve skills in dealing with critical situations.

This Dataset contains indicators-wise data related to Family Planning, Maternal Health, and Immunization for all states cumulatively under HMIS. It also contains age-group and rural and urban facility wise data.

Graph and download economic data for Expenditures: Medical Supplies by Highest Education: College Graduate: Master's, Professional, Doctoral Degree (CXUMEDSUPPLLB1409M) from 2012 to 2023 about doctoral degree, medical, professional, supplies, tertiary schooling, expenditures, education, and USA.

Local Law 14 (2016) requires that the NYCDOE provide citywide Health Education data, disaggregated by community school district, city council district, and each individual school. Data reported in this report is from the 2015-16 school year.

The Master Facility Inventory data collection provides a comprehensive list of nursing, personal care, and domiciliary care facilities in the United States in 1976. The criteria for inclusion were that a facility provided medical, nursing, personal, or custodial care to groups of unrelated persons on an inpatient basis. The survey was conducted by the National Center for Health Statistics in order to update its Master Facility Inventory on the number and kinds of such facilities in the United States and the changes to the list since the last MFI survey. Information gathered is for the previous calendar year and includes facility identification information, ownership and type of facility, capacity and type of beds (i.e., total beds set up and staffed for use and number of beds certified by Medicare or Medicaid as skilled and intermediate), acceptance criteria, and total number of male and female residents (or patients) for 26,748 institutions.

Graph and download economic data for All Employees: Education and Health Services: Outpatient Care Centers in Massachusetts (SMU25000006562140001SA) from Jan 1990 to May 2025 about medical, health, MA, services, employment, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: All Items Less Medical Care in Boston-Cambridge-Newton, MA-NH (CBSA) (CUURA103SA0L5) from Jan 1967 to May 2025 about Boston, medical, ME, NH, CT, MA, all items, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

The PATH Study was launched in 2011 to inform the Food and Drug Administration's regulatory activities under the Family Smoking Prevention and Tobacco Control Act (TCA). The PATH Study is a collaboration between the National Institute on Drug Abuse (NIDA), National Institutes of Health (NIH), and the Center for Tobacco Products (CTP), Food and Drug Administration (FDA). The study sampled over 150,000 mailing addresses across the United States to create a national sample of people who do and do not use tobacco. 45,971 adults and youth constitute the first (baseline) wave, Wave 1, of data collected by this longitudinal cohort study. These 45,971 adults and youth along with 7,207 "shadow youth" (youth ages 9 to 11 sampled at Wave 1) make up the 53,178 participants that constitute the Wave 1 Cohort. Respondents are asked to complete an interview at each follow-up wave. Youth who turn 18 by the current wave of data collection are considered "aged-up adults" and are invited to complete the Adult Interview. Additionally, "shadow youth" are considered "aged-up youth" upon turning 12 years old, when they are asked to complete the Youth Interview after parental consent. At Wave 4, a probability sample of 14,098 adults, youth, and shadow youth ages 10 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 4. This sample was recruited from residential addresses not selected for Wave 1 in the same sampled Primary Sampling Units (PSUs) and segments using similar within-household sampling procedures. This "replenishment sample" was combined for estimation and analysis purposes with Wave 4 adult and youth respondents from the Wave 1 Cohort who were in the civilian, noninstitutionalized population at the time of Wave 4. This combined set of Wave 4 participants, 52,731 participants in total, forms the Wave 4 Cohort. At Wave 7, a probability sample of 14,863 adults, youth, and shadow youth ages 9 to 11 was selected from the civilian, noninstitutionalized population at the time of Wave 7. This sample was recruited from residential addresses not selected for Wave 1 or Wave 4 in the same sampled PSUs and segments using similar within-household sampling procedures. This second replenishment sample was combined for estimation and analysis purposes with Wave 7 adult and youth respondents from the Wave 4 Cohort who were at least age 15 and in the civilian, noninstitutionalized population at the time of Wave 7. This combined set of Wave 7 participants, 46,169 participants in total, forms the Wave 7 Cohort. Please refer to the Restricted-Use Files User Guide that provides further details about children designated as "shadow youth" and the formation of the Wave 1, Wave 4, and Wave 7 Cohorts. Dataset 0001 (DS0001) contains the data from the Public-Use File Master Linkage File (PUF-MLF). This file contains 93 variables and 82,139 cases. The file provides a master list of every person's unique identification number and what type of respondent they were in each wave for data that are available in the Public-Use Files and Special Collection Public-Use Files. Dataset 0002 (DS0002) contains the data from the Restricted-Use File Master Linkage File (RUF-MLF). This file contains 198 variables and 82,139 cases. The file provides a master list of every person's unique identification number and what type of respondent they were in each wave for data that are available in the Restricted-Use Files, Special Collection Restricted-Use Files, and Biomarker Restricted-Use Files.

MA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 42.000 NA in 2016. MA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 42.000 NA from Dec 2016 (Median) to 2016, with 1 observations. MA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manner which protects patient privacy. Here we present Medical Information Mart for Intensive Care (MIMIC)-IV, a large deidentified dataset of patients admitted to the emergency department or an intensive care unit at the Beth Israel Deaconess Medical Center in Boston, MA. MIMIC-IV contains data for over 65,000 patients admitted to an ICU and over 200,000 patients admitted to the emergency department. MIMIC-IV incorporates contemporary data and adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources. MIMIC-IV is intended to carry on the success of MIMIC-III and support a broad set of applications within healthcare.

PLEASE NOTE: This is a Synthetic data file, also known as a Dummy File - it is NOT real data. This synthetic data file should not be used for purposes other than to develop and test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical packing 'code' (e.g. SPSS syntax, SAS programs, etc.) in preparation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Research Data Centres. The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. Starting in 2007, the CCHS now operates using continuous collection. It is a large sample, general population health survey, designed to provide reliable estimates at the health region level. In order to provide researchers with a means to access the master file(s), a remote access facility has been implemented. Remote access provides researchers with the possibility to submit computer programs via e-mail to a dedicated address (cchs-escc@statcan.ca), and to receive the results by return e-mail. To obtain remote access privileges, it is necessary that researchers obtain advance approval from the Health Statistics Division. Requests must be submitted to the aforementioned e-mail address and must provide the following, clearly itemized information: •the researcher’s affiliation, • the name of all researchers involved in the project, • the title of the research project, • an abstract of the project, • the goals of the research, • the data to which access is required (survey, cycle), • why the project requires access to the master data rather than the PUMF, • why Remote Access service is chosen rather the on-site access in a Research Data Centre (RDC), • the expected results, and • the project’s expected completion date. Further information is available by contacting the CCHS team at the above e-mail address or by phone at (613) 951-1653. Once the request for remote access has been approved, the researcher can submit his/her computer programs to the CCHS team for processing on the master file(s). The computer output is reviewed by the team for confidentiality concerns and returned to the researcher. However, the correctness and accuracy of each program submission remains, at all times, the sole responsibility of the researcher.

This file is related to Piezo1-mechanically sensitive channel study

This spreadsheet includes all data used in a work stress study involving home healthcare workers including: ELISA data associated with participant cortisol levels, subjective stress levels associated with occupational stress exposure events, airborne pollutant data participants were exposed to, etc.

The Washington State Department of Health presents this information as a service to the public. True and correct copies of legal disciplinary actions taken after July 1998 are available on our Provider Credential Search site. These records are considered certified by the Department of Health.

This includes information on health care providers.

Please contact our Customer Service Center at 360-236-4700 for information about actions before July 1998. The information on this site comes directly from our database and is updated daily at 10:00 a.m.. This data is a primary source for verification of credentials and is extracted from the primary database at 2:00 a.m. daily.

News releases about disciplinary actions taken against Washington State healthcare providers, agencies or facilities are on the agency's Newsroom webpage.

Disclaimer The absence of information in the Provider Credential Search system doesn't imply any recommendation, endorsement or guarantee of competence of any healthcare professional. The presence of information in this system doesn't imply a provider isn't competent or qualified to practice. The reader is encouraged to carefully evaluate any information found in this data set.

Burnout data collected from a cohort of Master of Biomedical Science graduate students at a single institution in Southern California. The burnout inventory used was the Copenhagen Burnout Inventory