The Nursing Homes Profiles quality data provides a consumer-friendly product that allows patients and their families to understand how the New York State Nursing Homes perform within five specific domains of care and overall. The domains (Preventive Care, Quality of Care, Quality of Life, Resident Safety and Resident Status) encompass twenty-four different quality measures. A Domain Rating assesses performance over all the measures within that domain, with 5 stars indicating the highest performance and 1 star the lowest performance. The Overall Rating is a normalized star rating based on the Nursing Homes' performance across the five domains. The normalization of the Overall Rating resets the distribution, with the highest performing Nursing Homes across all the domains having 5 stars and the lowest performing Nursing Homes across the five domains having 1 star. New York’s Nursing Home Domain Rating differs from CMS’ 5-star rating in data reporting period and in methodology.

This statistic presents the leading states in the U.S. with the best-rated nursing homes as of 2018. It was found that 84 percent of online ratings of nursing homes in South Dakota were 4 or 5 star reviews.

This dataset represents State-specific ranges for the weighted health inspection score for each health inspection star rating category.

This statistic presents the leading states in the U.S. with the worst-rated nursing homes as of 2018. It was found that 47 percent of online ratings of nursing homes in Nevada were 1 or 2 star reviews.

The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. For more information, go to the "About" tab.

This dataset contains State averages of several home health agency quality measures for Home Health Agencies. This survey is designed to measure the experiences of people receiving home health care from Medicare-certified home health agencies. The Home Health Care Consumer Assessment of Healthcare Providers and Systems (HHCAHPS) is conducted for home health agencies by approved HHCAHPS Survey vendors.

The turnover rate of nurses in skilled nursing facilities (SNFs) in the U.S. varies by the quality rating of the facility. Among facilities with just a one-star rating, turnover stood as high as 53.9 percent in Q1 2024. Among facilities with a five-star rating, turnover was almost 10 percent lower, yet still high at, 44.3 percent.

Multivariable regression results–role of nursing home quality, full models.

In 2019, the state of California had the least affordable child care.The cost of care is presented as a percentage of state median income for a two-parent family. About 18 percent of the median income of a two-parent family had to be spent for full-time care for an infant in a child care center.

Home care providers support the overall health and well-being of millions in the US annually. This number has been growing fast, expanding the scale and scope of home care providers in recent years. A rising number of adults 65 and older has been the primary driver behind this, as older adults are at a higher risk of developing a condition or experiencing an injury that limits their ability to perform tasks they once did independently. While changing demographic trends are an overarching trend impacting the health sector, the pandemic has permanently altered the industry's trajectory. Widespread outbreaks at residential facilities in the first year of the pandemic led more people to value remaining in their homes as they age; the interest in aging-in-place has only grown even as pandemic concerns have dissipated as older adults look for options that provide safety and independence. In all, revenue has been expanding at a CAGR of 3.5% to an estimated $153.7 billion over the past five years, including expected growth of 3.2% in 2025. The mounting need for home care services and a shortage of home health aides create a mismatch between supply and demand that limits revenue growth. Shortages, preexisting the pandemic, have worsened as caregivers seek more flexible jobs with higher pay, creating increasingly high turnover that pressures providers to raise wages. Medicare reimbursements to home health agencies have been declining for several years, preventing home health agencies from raising salaries despite shortages. Clients eligible for home care services through insurance face long waiting periods, leading more people to opt for self-directed care, where family members or friends work as paid caregivers. Too few caregivers prevent the industry from fully benefiting from ballooning demand and curtail profit growth. Trends driving growth in recent years will accelerate moving forward, providing massive opportunities for home care providers. How home care providers capitalize on these trends will depend on insurer reimbursements and workforce development. Technology, ranging from wearables to telehealth, will have a more prominent role in the industry as providers look for ways to improve patient care while lessening the burden on staff. Regulatory and financial pressures will maintain consolidation activity, with private equity investment likely to expand as well. A major headwind facing the industry will be the future of Medicare policies and to what extent they cover home health and telehealth services. Revenue will grow at a CAGR of 2.8% to an estimated $176.8 billion over the next five years.

This dataset contains the list of all Home Health Agencies that have been registered with Medicare. The list includes addresses, phone numbers, and quality measure ratings for each agency.

BackgroundFoster families may represent an alternative model for dependent older adults in many countries where nursing homes are insufficiently developed. This study aimed to assess the prevalence of malnutrition and its determinants in older adults living in foster families in Guadeloupe (French West Indies).MethodsThis cross-sectional study was gathered from the KASAF (Karukera Study of Ageing in Foster families) study (n = 107, 41M/66F, Mdn 81.8 years). Nutritional status was assessed with the Mini Nutritional Assessment Short‐Form (MNA‐SF). Clinical characteristics and scores on geriatric scales (Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), Short Physical Performance Battery (SPPB), Center for Epidemiologic Studies- Depression (CESD) and Questionnaire Quality of Life Alzheimer’s Disease (QoL-AD)) were extracted. Bivariate analysis and logistic models adjusted for age and gender were performed to test the association of nutritional status with socio-demographic variables and geriatric scales.ResultsThirty (28.0%) older adults were malnourished (MNA-SF score ≤7). In bivariate analysis, malnutrition was associated with an increased prevalence of cardiovascular diseases (46.7% versus 19.5%, p = 0.004), the presence of hemiplegia (30.0% versus 6.5%, p = 0.003), a poorer cognitive status (MMSE score 4.7 ± 7.1versus 9.7 ± 10.7; p = 0.031), higher risk of depression (CESD score 27.3 ± 23.0 versus 13.5 ± 14.4; p = 0.035) and dependency (ADL score 1.9 ± 1.9 versus 2.3 ± 2.1; p

The 2008 Hospital Report Card was mandated by the FY08 Appropriations Act, and focused on Congressionally-mandated metrics applicable to general patient populations. The 2009 VHA Facility Quality and Safety Report report, not required by Congress, shifts to Veteran-centered metrics, and includes information related to infrastructure, care provided in outpatient and hospital settings, quality of care within given patient populations, accreditation status, patient satisfaction and patient outcomes for FY2008. The data in this report have been compiled from multiple sources throughout VHA. This dataset includes composite scores reflecting quality of care for outpatients (NEXUS) and inpatients (ORYX). Quality of outpatient care is further stratified by comparison of outpatient care by gender, age, and mental health diagnosis.

The anticipated size of the global elder care subscription market in 2022 was US$ 2,234.5 million and is estimated to be US$ 2,563.0 million in 2023. Rise in demand for global elder care subscription market is also found to be rising number of women in the workforce which means as more women enter into the workforce, they become less likely to spend the time with elder family members and care for leading to a soar in demand for elder care subscription services, CAGR of 16.3% between 2023 and 2033, totaling around US$ 11,635.5 million by 2033.

Report Scope

This dataset includes all non-24 hour licensed child care facilities in the State of Colorado. It is updated twice a month, and is intended for public use. It includes CDHS-issued child care license numbers, legal business names as they appear in the licensing application, the types of service the programs provide, the physical location address es of the programs as they appear in the licensing application, the longitude-latitude coordinate values derived from geocoding services and spatial QA, the valid Colorado Shines quality rating levels (if applicable), total licensed capacities, and CCCAP utilization and fiscal agreement.

Disclaimer: The State of Colorado, the Colorado Department of Human Services, and the Office of Early Childhood make no representations or warranties expressed or implied, with respect to the use of data provided herewith regardless of its format or the means of its transmission. There is no guarantee or representation to the user as to the accuracy, currency, suitability, or reliability of this data for any purpose. The user accepts the data “as is”. The State of Colorado assumes no responsibility for loss or damage incurred as a result of any user reliance on this data. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. The State of Colorado does not necessarily endorse any interpretations or products derived from the data.

In 2019, the state of California had the least affordable child care for school-aged children. The cost of care is presented as a percentage of state median income for a two-parent family. A two-parent family, living in the state, spent 19 percent of their median income for full-time care of a school-aged child in a child care center.

This dataset includes all non-24 hour licensed child care facilities in the State of Colorado. It is updated monthly, and is intended for public use. It includes CDHS-issued child care license numbers, legal business names as they appear in the licensing application, the types of service the programs provide, the physical location address es of the programs as they appear in the licensing application, the longitude-latitude coordinate values derived from geocoding services and spatial QA, the valid Colorado Shines quality rating levels (if applicable), total licensed capacities, and CCCAP utilization.

Disclaimer: The State of Colorado, the Colorado Department of Human Services, and the Office of Early Childhood make no representations or warranties expressed or implied, with respect to the use of data provided herewith regardless of its format or the means of its transmission. There is no guarantee or representation to the user as to the accuracy, currency, suitability, or reliability of this data for any purpose. The user accepts the data “as is”. The State of Colorado assumes no responsibility for loss or damage incurred as a result of any user reliance on this data. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. The State of Colorado does not necessarily endorse any interpretations or products derived from the data.

As of 2023, Maxim Healthcare, based in Columbus, Maryland, was the home health agency in the United States with the highest net patient revenue at almost 1.7 billion U.S. dollars. This was followed by Amedisys Inc., based in Baton Rouge, Louisiana, which was the largest home health agency based on the number of patients served, with over 1.2 billion U.S. dollars in net patient revenue.

This indicator provides information about health professional shortage areas (HPSAs) for primary care services as determined by the federal Health Resources and Services Administration (HRSA). Each designated area includes multiple census tracts.HPSAs can be geographic areas, populations, or health care facilities that have been designated as having a shortage of health professionals. Geographic HPSAs have a shortage of providers for an entire population in a defined geographic area. Population HPSAs have a shortage of providers for a subpopulation in a defined geographic area, such as low-income populations, people experiencing homelessness, and migrant farmworker populations. In Los Angeles County, facility HPSAs include:•Federally Qualified Health Centers (FQHCs); •FQHC Look-A-Likes (LALs); •Indian Health Service, Tribal Health, and Urban Indian Health Organizations; •correctional facilities; • and some other facilities. For these indicators, we include HPSAs in Los Angeles County with statuses listed as “Designated” or “Proposed for Withdrawal” (but not withdrawn yet). Due to the nature of the designation process, a census tract may be designated as any combination of geographic and population HPSAs and three categories of care (i.e., primary, dental, and mental health care). Facility HPSAs may also cover multiple types of care.State Primary Care Offices submit applications to HRSA to designate certain areas within counties as HPSAs for primary care, dental, and mental health services. HRSA’s National Health Service Corps calculates HPSA scores to determine priorities for assignment of clinicians. The scores range from 0 to 25 for primary care, where higher scores indicate greater priority. All HPSA categories shared three scoring criteria: (1) population-to-provider ratio, (2) percent of population below 100% of the Federal Poverty Level, and (3) travel time to the nearest source of care outside the HPSA designation area. Each category also has additional criteria that go into the scores. Specifically, primary care HPSA scoring includes the infant health index, which awards points based on infant mortality rate and low birth weight rate. Note: if an area is not designated as an HPSA, it does not mean it is not underserved, only that an application has not been filed for the area and that an official designation has not been given.HPSA designations help distribute participating health care providers and resources to high-need communities.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This indicator provides information about health professional shortage areas (HPSAs) for mental health services as determined by the federal Health Resources and Services Administration (HRSA). Each designated area includes multiple census tracts.HPSAs can be geographic areas, populations, or health care facilities that have been designated as having a shortage of health professionals. Geographic HPSAs have a shortage of providers for an entire population in a defined geographic area. Population HPSAs have a shortage of providers for a subpopulation in a defined geographic area, such as low-income populations, people experiencing homelessness, and migrant farmworker populations. In Los Angeles County, facility HPSAs include:•Federally Qualified Health Centers (FQHCs); •FQHC Look-A-Likes (LALs); •Indian Health Service, Tribal Health, and Urban Indian Health Organizations; •correctional facilities; • and some other facilities. For these indicators, we include HPSAs in Los Angeles County with statuses listed as “Designated” or “Proposed for Withdrawal” (but not withdrawn yet). Due to the nature of the designation process, a census tract may be designated as any combination of geographic and population HPSAs and three categories of care (i.e., primary, dental, and mental health care). Facility HPSAs may also cover multiple types of care.State Primary Care Offices submit applications to HRSA to designate certain areas within counties as HPSAs for primary care, dental, and mental health services. HRSA’s National Health Service Corps calculates HPSA scores to determine priorities for assignment of clinicians. The scores range from 0 to 25 for mental health, where higher scores indicate greater priority. All HPSA categories shared three scoring criteria: (1) population-to-provider ratio, (2) percent of population below 100% of the Federal Poverty Level, and (3) travel time to the nearest source of care outside the HPSA designation area. Each category also has additional criteria that go into the scores. Specifically, mental health HPSA scoring includes elderly ratio (percent of people over age 65), youth ratio (percent of people under age 18), alcohol abuse prevalence, and substance abuse prevalence. Note: if an area is not designated as an HPSA, it does not mean it is not underserved, only that an application has not been filed for the area and that an official designation has not been given.HPSA designations help distribute participating health care providers and resources to high-need communities.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.