The Home Based Primary Care (HBPC) database receives and compiles data from local Hospital Based Home Care (HBHC) sanctioned programs at Veterans Affairs Medical Centers (VAMCs) that run home care programs under the Home Based Primary Care program. The primary purpose is to provide HBPC management with case mix, case load, and other performance information. The HBPC information system is referred to as HBC at the VA Austin Information Technology Center and as HBHC at the local level. The HBHC automated a paper-based system of reporting home care episodes. When an admission form is completed, an episode is opened and input into HBHC for a potential home care patient. The patient is evaluated and accepted to or rejected from the program. When a patient leaves the program for any reason an episode is closed and a discharge form completed and input into HBHC. HBHC runs a nightly extract of information within the Veterans Health Information Systems and Technology Architecture. Extractions include information on all Patient Care Encounters (PCEs) with the patient and home visits made by home care providers. Details of which provider(s) made the visit, the date, any diagnosis and any procedures performed are included. Each local application sends its data to the Austin HBC database on a monthly basis. A monthly report is prepared based on this information identifying the active cases at each VAMC. A more detailed quarterly report is produced that includes national comparisons among sites.

The complete data set of annual utilization data reported by primary care clinics contains basic clinic identification information including community services, clinic staffing data, and patient and staff language data; financial information including gross revenue, itemized write-offs by program, an income statement, and selected capital project items; and information on encounters by service, principal diagnosis, and procedure codes (CPT codes). These products provide trend utilization information for primary care clinics in the form of tables and pivot tables. The primary care clinic trends resource includes information on the number of clinics by type, the number of patients (by race, ethnicity, gender and age), the number of encounters by payer source; and revenues by payer source including the average revenue per encounter.

PATRON is a human ethics approved program of research incorporating an enduring de-identified repository of Primary Care data facilitating research and knowledge generation. PATRON is a part of the 'Data for Decisions' initiative of the Department of General Practice, University of Melbourne. 'Data for Decisions' is a research initiative in partnership with general practices. It is an exciting undertaking that makes possible primary care research projects to increase knowledge and improve healthcare practices and policy. Principal Researcher: Jon EmeryData Custodian: Lena SanciData Steward: Douglas BoyleManager: Rachel CanawayMore information about Data for Decisions and utilising PATRON data is available from the Data for Decisions website.

Abstract copyright UK Data Service and data collection copyright owner.The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences. The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections. Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community. History of the programme The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission. Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages. The Local Health Services (Primary Care Trusts) Survey was designed to provide actionable feedback to each participating trust on patients' views of the care they had received in PCTs in England, as well as providing the Healthcare Commission with patient-focused indicators to feed into the 2004 performance ratings for acute and specialist NHS trusts. Main Topics: Topics covered included: contact with general practitioners; courtesy of and confidence in medical and other staff; cleanliness of surgery/health centre; medical consultations; medicines and treatment prescribed and whether enough information and guidance was provided; hospital and specialist referrals (including choice and decision-making); dental treatment; immunization and blood pressure checks offered; and respondents' smoking behaviour and demographic characteristics. Simple random sample The survey asked patients from 303 PCTs in England about their recent experience of local health services. Each PCT sampled 850 eligible patients who were registered with one of their practices. The trusts were responsible for ensuring that their survey was carried out following the standard sampling and survey procedures, as set out in the guidance issued to trusts.

About OPCRD

Optimum Patient Care Research Database (OPCRD) is a real-world, longitudinal, research database that provides anonymised data to support scientific, medical, public health and exploratory research. OPCRD is established, funded and maintained by Optimum Patient Care Limited (OPC) – which is a not-for-profit social enterprise that has been providing quality improvement programmes and research support services to general practices across the UK since 2005.

Key Features of OPCRD

OPCRD has been purposefully designed to facilitate real-world data collection and address the growing demand for observational and pragmatic medical research, both in the UK and internationally. Data held in OPCRD is representative of routine clinical care and thus enables the study of ‘real-world’ effectiveness and health care utilisation patterns for chronic health conditions.

OPCRD unique qualities which set it apart from other research data resources: • De-identified electronic medical records of more than 24.9 million patients • OPCRD covers all major UK primary care clinical systems • OPCRD covers approximately 35% of the UK population • One of the biggest primary care research networks in the world, with over 1,175 practices • Linked patient reported outcomes for over 68,000 patients including Covid-19 patient reported data • Linkage to secondary care data sources including Hospital Episode Statistics (HES)

Data Available in OPCRD

OPCRD has received data contributions from over 1,175 practices and currently holds de-identified research ready data for over 24.9 million patients or data subjects. This includes longitudinal primary care patient data and any data relevant to the management of patients in primary care, and thus covers all conditions. The data is derived from both electronic health records (EHR) data and patient reported data from patient questionnaires delivered as part of quality improvement. OPCRD currently holds over 68,000 patient reported questionnaire data on Covid-19, asthma, COPD and rare diseases.

Approvals and Governance

OPCRD has NHS research ethics committee (REC) approval to provide anonymised data for scientific and medical research since 2010, with its most recent approval in 2020 (NHS HRA REC ref: 20/EM/0148). OPCRD is governed by the Anonymised Data Ethics and Protocols Transparency committee (ADEPT). All research conducted using anonymised data from OPCRD must gain prior approval from ADEPT. Proceeds from OPCRD data access fees and detailed feasibility assessments are re-invested into OPC services for the continued free provision of patient quality improvement programmes for contributing practices and patients.

For more information on OPCRD please visit: https://opcrd.co.uk/

The purpose of the collection of outpatient health statistics is to monitor, evaluate and plan curative and preventive health care at the primary and secondary level of health care system.

Data on outpatient statistics are an important source of information for population health monitoring indicators
and accessibility of outpatient health care activities in Slovenia. Health care providers collect data for each individual contact of the patients with the health service. It is reported by public and private healthcare providers.

Outpatient health statistics record contacts and services at general practicioners and specialist outpatient activities at the secondary level.

The complete data set of annual utilization data reported by primary care clinics contains basic clinic identification information including community services, clinic staffing data, and patient and staff language data; financial information including gross revenue, itemized write-offs by program, an income statement, and selected capital project items; and information on encounters by service, principal diagnosis, and procedure codes (CPT codes). These products provide trend utilization information for primary care clinics in the form of tables and pivot tables. The primary care clinic trends resource includes information on the number of clinics by type, the number of patients (by race, ethnicity, gender and age), the number of encounters by payer source; and revenues by payer source including the average revenue per encounter.

ABSTRACT Evaluative research that examined aspects of work management and education of physicians who participated in the National Program for Access and Quality Improvement in Primary Care, cycles I and II, in Brazil. Secondary data obtained from public databases revealed that in cycles I and II medical representation among respondents of Module II was 5.77% and 5.66% respectively; the majority were in practice for less than two years (51% and 53%); had public administration as hiring agency (60.73% and 61.80%); were civil servants (37.26% and 35.41%); were hired through public service entrance exams (41.61% and 41.40%); and had no right for a career plan (67.47% and 70.23%). The conclusion is that medical education should also include political education to favor physicians' active participation in decision-making and work processes in Primary Health Care teams.

[Metadata] Department of Health Primary Care Service Areas: Received from State Dept. of Health, December, 2019. Boundaries are based on census tracts. Primary care service areas were selected to describe the delivery of primary health services in the State of Hawai‘i through participation of multiple stakeholders in the early 1990’s. The rural health associations of the Hawai‘i, Maui and Kaua‘i Counties delineated rational service areas under their respective jurisdictions. The Needs Assessment Committee of the Primary Care Roundtable participated in the delineation of rational service areas... referred to as primary care service areas. Clustering of neighborhoods into these primary care service areas was intended to provide information below the county or island level with demarcation between adjacent neighborhoods. Census tracts were used in defining these areas due to their availability in census and vital statistic data. The size of the population in these areas, based on the 2010 u.S. Census data, vary from 170 individuals in Ni‘ihau and 2,291 in Hāna to 115,164 in Ko‘olaupoko. Thus direct comparisons in estimates between primary care service areas are limited. Clusters of census tracts were defined using both 2010 and 2000 census tracts depending on the data source. For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/Primary_Care_Service_Areas.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Read and SNOMED coded data from general practice computer systems in Wales on asthma (adult and paediatric) and COPD is extracted. All patients over 35 with a diagnosis of COPD and all adults and children with a diagnosis of asthma in Wales are included.

This dataset is about book subjects. It has 3 rows and is filtered where the books is Multicentre cluster randomised trial comparing a community group exercise programme and home-based exercise with usual care for people aged 65 years and over in primary care. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Abstract copyright UK Data Service and data collection copyright owner. The National Survey of Local Health Services, 2006: Primary Care Trusts was commissioned by the Department of Health, to assess patient satisfaction with local Primary Care Trust (PCT) services. The survey was not part of the Healthcare Commission's National Health Service Patient Survey Programme (held at the UK Data Archive under GN 33348), but was commissioned specifically to cover PCTs, which were not included in the 2006 set of Patient Programme surveys. The survey was conducted using the same questionnaire and methodology as all the previous Healthcare Commission surveys, which means that it is possible to compare results with those covering PCTs from previous years; patients were selected in the same way and data collection based on the same criteria. However, it is important to bear in mind that this survey was designed to produce national results only: it was conducted using a smaller sample of patients than in previous surveys, and it was centrally administered (PCTs were not involved in running the survey or in the collection of data). Further information about the survey, including publications and tables, may be found on the Department of Health's National Survey of Local Health Services, 2006 web page. Main Topics: Topics covered included: making appointments, visiting the general practice/health centre, consultations with doctors, medicines, referrals, consultations with doctors from other practices, overall satisfaction with general practice/health centre, and respondents' demographic details.

This dataset includes the primary spoken language of eligible individuals who selected and enrolled in a Covered California Qualified Health Plan (QHP) and identified their primary spoken language as English, Spanish, Mandarin, Korean, Cantonese, Vietnamese, Tagalog, Russian, Farsi, Arabic, Armenian, Cambodian, or Hmong, by reporting period. Covered California data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.

Making clinical audit data transparent

In his transparency and open data letter to Cabinet Ministers on 7 July 2011, the Prime Minister restated the commitment to make clinical audit data available from the national audits within the National Clinical Audit and Patient Outcomes Programme.

The National COPD Audit Programme have made their data available for this purpose.

The NIHR is one of the main funders of public health research in the UK. Public health research falls within the remit of a range of NIHR Research Programmes, NIHR Centres of Excellence and Facilities, plus the NIHR Academy. NIHR awards from all NIHR Research Programmes and the NIHR Academy that were funded between January 2006 and the present extraction date are eligible for inclusion in this dataset. An agreed inclusion/exclusion criteria is used to categorise awards as public health awards (see below). Following inclusion in the dataset, public health awards are second level coded to one of the four Public Health Outcomes Framework domains. These domains are: (1) wider determinants (2) health improvement (3) health protection (4) healthcare and premature mortality.More information on the Public Health Outcomes Framework domains can be found here.This dataset is updated quarterly to include new NIHR awards categorised as public health awards. Please note that for those Public Health Research Programme projects showing an Award Budget of £0.00, the project is undertaken by an on-call team for example, PHIRST, Public Health Review Team, or Knowledge Mobilisation Team, as part of an ongoing programme of work.Inclusion criteriaThe NIHR Public Health Overview project team worked with colleagues across NIHR public health research to define the inclusion criteria for NIHR public health research awards. NIHR awards are categorised as public health awards if they are determined to be ‘investigations of interventions in, or studies of, populations that are anticipated to have an effect on health or on health inequity at a population level.’ This definition of public health is intentionally broad to capture the wide range of NIHR public health awards across prevention, health improvement, health protection, and healthcare services (both within and outside of NHS settings). This dataset does not reflect the NIHR’s total investment in public health research. The intention is to showcase a subset of the wider NIHR public health portfolio. This dataset includes NIHR awards categorised as public health awards from NIHR Research Programmes and the NIHR Academy. This dataset does not currently include public health awards or projects funded by any of the three NIHR Research Schools or any of the NIHR Centres of Excellence and Facilities. Therefore, awards from the NIHR Schools for Public Health, Primary Care and Social Care, NIHR Public Health Policy Research Unit and the NIHR Health Protection Research Units do not feature in this curated portfolio.DisclaimersUsers of this dataset should acknowledge the broad definition of public health that has been used to develop the inclusion criteria for this dataset. This caveat applies to all data within the dataset irrespective of the funding NIHR Research Programme or NIHR Academy award.Please note that this dataset is currently subject to a limited data quality review. We are working to improve our data collection methodologies. Please also note that some awards may also appear in other NIHR curated datasets. Further informationFurther information on the individual awards shown in the dataset can be found on the NIHR’s Funding & Awards website here. Further information on individual NIHR Research Programme’s decision making processes for funding health and social care research can be found here.Further information on NIHR’s investment in public health research can be found as follows: NIHR School for Public Health here. NIHR Public Health Policy Research Unit here. NIHR Health Protection Research Units here. NIHR Public Health Research Programme Health Determinants Research Collaborations (HDRC) here. NIHR Public Health Research Programme Public Health Intervention Responsive Studies Teams (PHIRST) here.

This study is theoretically based on the attributes of quality (utility, property, feasibility and accuracy) and the steps of an evaluation defined in the "Framework for Program Evaluation in Public Health: A Checklist of Steps and Standards" proposed by the Centers for Disease Control and Prevention (CDC). For this, it will use the version already translated into Portuguese.It is important to highlight that, in this study, the attributes and standards defined in the “Framework for Program Evaluation in Public Health: A Checklist of Steps and Standards” proposed by the Centers for Disease Control and Prevention, correspond respectively to the dimensions of analysis.

This database is part of the National Medical Information System (NMIS). The National Health Care Practitioner Database (NHCPD) supports Veterans Health Administration Privacy Act requirements by segregating personal information about health care practitioners such as name and social security number from patient information recorded in the National Patient Care Database for Ambulatory Care Reporting and Primary Care Management Module.

Note: Due to the COVID-19 pandemic, in-person health insurance enrollment services will be suspended until further notice. During this period, our enrollment staff will continue to help New Yorkers sign up for low- and no-cost health insurance by phone. Health insurance enrollment and assistance with SNAP benefits (Food Stamps) Data collected to promote health insurance enrollment among uninsured New Yorkers. Data collected manually. Each record represents a health center location where health insurance enrollment and assistance with SNAP benefits (Food Stamps) are offered. Data can be used by general public seeking assistance with signing up for health insurance or SNAP. Data may change as program needs are changed, e.g., opening of new site or change in hours of operation at a particular site.

The number of persons who hold eligibility under the GMS and Primary Care schemes by CHO area.

This dataset captures data maintained by the Record Research Request Service (R3) at the University of Pittsburgh. R3 is a service of the Department of Biomedical Informatics (DBMI), provisioning UPMC clinical data and authorizing additional UPMC data sources for research.

Data captures emergency department (ED) visits and primary care visits for the pediatric population (ages 0-17) served by UPMC in Allegheny County by Census Block Group geography (using 2010 U.S. Census geographies).

ED Data captures total visits, along with visits related to asthma, injury, low-acuity visits, and respiratory tract infections. Low acuity visits are often defined as visits by patients that didn't arrive by ambulance and visits that were less-serious or less-urgent where the patient was discharged to their normal place of residence.

The primary care visit data includes total visits, well child visits, and asthma diagnoses.

Each dataset includes the estimated population in each blockgroup. This estimate was obtained from the U.S. Census Bureau's 2015-19 5-year American Community Survey. Pediatric populations are defined as those under age 18.

UPMC data captures a large share of ED visits due to the health system's role with UPMC Children's Hospital of Pittsburgh.

The Regional Data Center teamed with colleagues at the University of Pittsburgh Center for Social Research to geocode data to blockgroup, and the totals were computed by R3.

Special thanks to partners at The Pittsburgh Study for helping us make this data available, and the Data Across Sectors for Health program for providing financial support for this work.

Support for Health Equity datasets and tools provided by Amazon Web Services (AWS) through their Health Equity Initiative.