The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

There have been major investments in big data within the healthcare industry. For 2018, it is estimated that there were *** billion U.S. dollars worth of investments made into big data. That number is expected to increase to * billion U.S. dollars by the year 2021.

This statistic depicts the projected total revenue of the global health care industry in 2018, by region. According to the data, it is estimated that North America will generate more than 714 billion U.S. dollars in health care revenue.

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time.

The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care.

The Sierra Leone SDI Health survey team visited a sample of 536 health facilities across Sierra Leone between January and April 2018. The survey team collected rosters covering 5,055 workers for absenteeism and assessed 829 health workers for competence using patient case simulations.

Geographic coverage

National

Analysis unit

Health facilities and healthcare providers

Universe

All health facilities providing primary-level care

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage.

The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules.

Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Health Survey Questionnaire consists of four modules:

Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility.

Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured.

Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions.

Module 4: Facility finances – Information on facility revenue and expenditures is collected from the health facility manager.

Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses.

Cleaning operations

Quality control was performed in Stata.

United States Employment: NF: sa: EH: Health Care data was reported at 16,023.300 Person th in Jun 2018. This records an increase from the previous number of 15,998.100 Person th for May 2018. United States Employment: NF: sa: EH: Health Care data is updated monthly, averaging 11,995.600 Person th from Jan 1990 (Median) to Jun 2018, with 342 observations. The data reached an all-time high of 16,023.300 Person th in Jun 2018 and a record low of 8,012.200 Person th in Jan 1990. United States Employment: NF: sa: EH: Health Care data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.

Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2018 reporting. Source: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2018 reporting cycle. For more information, see the Children's Health Care Quality Measures and Adult Health Care Quality Measures webpages.

This statistic shows the results of a 2018 survey conducted by Ipsos in ** countries around the world on socialism. During the survey, the respondents were asked if they agree or disagree with the notion that free healthcare is a human right in their country. This statistic only shows those respondents who somewhat or strongly agreed with this statement. Some ** percent of respondents in Serbia agreed somewhat or strongly with this statement.

According to a survey carried out among healthcare leaders in the U.S. in July 2020, it was found that ** percent of the healthcare companies were either using or willing to adopt AI post-COVID-19 in 2020, this was a significant increase from ** percent at the beginning of 2020 pre-COVID.

This statistic displays the Chinese results of a survey on global views on healthcare in 2018. According to data provided by Ipsos, about ** percent of respondents from China were concerned that their personal data will be made available to third parties without their consent.

United States Avg Weekly Earnings: sa: EH: HS: Health Care data was reported at 1,003.340 USD in May 2018. This records an increase from the previous number of 997.900 USD for Apr 2018. United States Avg Weekly Earnings: sa: EH: HS: Health Care data is updated monthly, averaging 873.940 USD from Mar 2006 (Median) to May 2018, with 147 observations. The data reached an all-time high of 1,003.340 USD in May 2018 and a record low of 718.780 USD in Mar 2006. United States Avg Weekly Earnings: sa: EH: HS: Health Care data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G033: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Seasonally Adjusted.

Analyze complete patient journeys across both medical and pharmacy claims and accurately track metrics like patient persistence, therapy switches, and concomitant therapies. Medical claims data is sourced from a large health service company with visibility into unblinded provider identities and strong longitudinal integrity allowing for accurate patient journey analytics.

This statistic displays the Australian results of a survey on global views on healthcare in 2018. According to data provided by Ipsos, about ** percent of respondents from Australia were concerned that their personal data will be made available to third parties without their consent.

United States Employment: NF: sa: WW: EH: Health Care & Social Assistance data was reported at 15,988.400 Person th in Sep 2018. This records an increase from the previous number of 15,955.000 Person th for Aug 2018. United States Employment: NF: sa: WW: EH: Health Care & Social Assistance data is updated monthly, averaging 11,604.600 Person th from Jan 1990 (Median) to Sep 2018, with 345 observations. The data reached an all-time high of 15,988.400 Person th in Sep 2018 and a record low of 7,312.700 Person th in Jan 1990. United States Employment: NF: sa: WW: EH: Health Care & Social Assistance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G029: Current Employment Statistics Survey: Employment: Women Worker: Non Farm: Seasonally Adjusted.

United States Employment: NF: EH: Health Care & Social Assistance data was reported at 20,099.900 Person th in Oct 2018. This records an increase from the previous number of 19,979.900 Person th for Sep 2018. United States Employment: NF: EH: Health Care & Social Assistance data is updated monthly, averaging 14,467.200 Person th from Jan 1990 (Median) to Oct 2018, with 346 observations. The data reached an all-time high of 20,099.900 Person th in Oct 2018 and a record low of 9,086.900 Person th in Jan 1990. United States Employment: NF: EH: Health Care & Social Assistance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time.

The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care.

The Kenya SDI Health survey team visited a sample of 3,098 health facilities across Kenya between March and July 2018. The 2018 Kenya SDI is the largest to date. The survey team collected rosters covering 24,098 workers for absenteeism and assessed 4,499 health workers for competence using patient case simulation.

Geographic coverage

National

Analysis unit

Health facilities and healthcare providers

Universe

All health facilities providing primary-level care

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage.

The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules.

Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Health Survey Questionnaire consists of four modules, plus weights:

Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility.

Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured.

Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions.

Module 4: Public expenditure tracking - Information on facility finances

Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses.

Cleaning operations

Quality control was performed in Stata.

United States Employment: NF: EH: Home Health Care Services data was reported at 1,455.600 Person th in Jun 2018. This records a decrease from the previous number of 1,458.200 Person th for May 2018. United States Employment: NF: EH: Home Health Care Services data is updated monthly, averaging 690.350 Person th from Jan 1985 (Median) to Jun 2018, with 402 observations. The data reached an all-time high of 1,458.200 Person th in May 2018 and a record low of 137.900 Person th in Jan 1985. United States Employment: NF: EH: Home Health Care Services data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G024: Current Employment Statistics Survey: Employment: Non Farm.