The Home Health Agency Utilization and Payment Data 2016 presents information on services provided to Medicare beneficiaries by home health agencies. The dataset includes data for providers that had a valid identification number and submitted a Medicare Part A institutional claim during the 2015 calendar year. To protect the privacy of Medicare beneficiaries, any aggregated records which are derived from 10 or fewer beneficiaries are excluded.

In 2023, there were around ** personal care and home health aides per 1,000 adults aged 65 years or older in the United States. Meanwhile, the rate of home health care workers per elderly population varied widely by state, with New York having the highest rate and Florida the lowest.

In 2024, there were approximately 1.4 million persons employed in home health care services in the United States. This number has fluctuated since reaching a peak of 1.5 million in 2016. This statistic shows the number of persons employed in U.S. home health care services from 2000 to 2024.

In 2020, nearly ** percent of all home health agencies were Medicare-certified, while ** percent were Medicaid-certified. This statistic shows the percentage of home health agencies in the U.S. that were Medicare- and Medicaid-certified in 2020.

Count of day care home providers approved for PY2016-2017 CACFP based on 2016-2017 CACFP Day Care Home Contacts and Program Participation dataset. Operation based on CE's ApplicationEffectiveDate.

The primary purpose for the Provider Network Data System is to collect data needed to evaluate the provider networks including physicians, hospitals, labs, home health agencies, durable medical equipment providers, etc., for all types of Managed Care plans in New York State, including HIV Special Need Plans (SNP), Family Health Plus (FHP) Buy-In, Programs of All-Inclusive Care for the Elderly (PACE), and Non-PACE Managed Long-Term Care (MLTC) plans. This dataset reflects individual provider data. Provider Network Data System information is self-reported. For more information, check out http://www.health.ny.gov/health_care/managed_care/.

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census. Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care. Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living. Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living. Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens. Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).

This data package contains information regarding CAHPS Comparison for Top Box Scores by Population and Adult Survey 2 Top Box Scores by Specialty and State. It provides data over CAHPS Practice Site Respondents by Region Ownership Mode and Provider, Health Plan Samples by State and HCAHPS of National and State Averages. It also contains dataset for Hospital Consumer Assessment of Providers and Patient Survey and Maryland’s Quality-Based Reimbursement (QBR) program for the fiscal year 2014.

Abstract Changes in demographic and epidemiological profiles, in Brazil and in the world, have brought the need to adapt the health care model. In this context, Home Care (HC) emerges as an alternative strategy of health care driven by several concerns: dehospitalization, rationalization of the hospital bed use, costs reduction, and the organization of patient-centered care. This study aims to analyze HC in the Brazilian Unified Health System, identifying the modalities of care and inequalities in service use. Thereby a documentary analysis of the legislation and secondary data available on the home care volume of services and procedures explorations were realized. In total, 94,754 home-based hospitalizations occurred in the 2008-2016 period, and 4,008,692 home-based outpatient procedures were carried out in the 2012-2016 period. Outpatient HC was more widespread, while home-based hospitalizations were concentrated in some geographical areas. The regional discrepancy is striking, revealing inequalities in supply, access, and use. Despite the legal framework, the establishment of a specific program, and volume of production, HC does not seem to be yet effectively incorporated as one of the apexes of the Health Care Network.

United States - Total Expenses for Home Health Care Services, Establishments Exempt from Federal Income Tax was 3.00000 % Chg. in April of 2025, according to the United States Federal Reserve. Historically, United States - Total Expenses for Home Health Care Services, Establishments Exempt from Federal Income Tax reached a record high of 6.30000 in April of 2022 and a record low of -3.10000 in January of 2016. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Expenses for Home Health Care Services, Establishments Exempt from Federal Income Tax - last updated from the United States Federal Reserve on November of 2025.

Help us provide the most useful data by completing our ODP User Feedback Survey for Child and Adult Care Food Program (CACFP) Data About the Dataset This data set contains claims information for meal reimbursement for CACFP participating as Day Care Homes for the program year 2015-2016. The CACFP program year begins October 1 and ends September 30. This dataset only includes claims submitted by CACFP sites participating as Day Care Homes. Sites can participate in multiple CACFP sub-programs. For reimbursement data on CACFP participants operating as Day Care Homes, Child Care Centers, At-Risk Child Care Centers, Head Start Centers, emergency shelters, or centers providing care for students outside school hours, please refer to the corresponding “Child and Adult Care Food Programs (CACFP) – Meal Reimbursement” dataset for that sub-program available on the State of Texas Open Data Portal. An overview of all CACFP data available on the Texas Open Data Portal can be found at our TDA Data Overview - Child and Adult Care Food Programs page. An overview of all TDA Food and Nutrition data available on the Texas Open Data Portal can be found at our TDA Data Overview - Food and Nutrition Open Data page. More information about accessing and working with TDA data on the Texas Open Data Portal can be found on the SquareMeals.org website on the TDA Food and Nutrition Open Data page. About Dataset Updates This data is considered historical and will not be updated. Data is current as of the Date Data Last Updated listed on the source data published on ODP. About the Agency The Texas Department of Agriculture administers 12 U.S. Department of Agriculture nutrition programs in Texas including the National School Lunch and School Breakfast Programs, the Child and Adult Care Food Programs (CACFP),and the summer meal programs. TDA’s Food and Nutrition division provides technical assistance and training resources to partners operating the programs and oversees the USDA reimbursements they receive to cover part of the cost associated with serving food in their facilities. By working to ensure these partners serve nutritious meals and snacks, the division adheres to its mission — Feeding the Hungry and Promoting Healthy Lifestyles. For more information on these programs, please visit our website.

United States CPI U: AW: Medical Care: Services: HR: Home Care Invalids & Elderly data was reported at 0.074 % in 2017. This records a decrease from the previous number of 0.077 % for 2016. United States CPI U: AW: Medical Care: Services: HR: Home Care Invalids & Elderly data is updated yearly, averaging 0.109 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 0.181 % in 2003 and a record low of 0.074 % in 2017. United States CPI U: AW: Medical Care: Services: HR: Home Care Invalids & Elderly 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.I011: Consumer Price Index: Urban: Weights (Annual).

This map shows the overall score and quintile for each nursing home in the state. Quintiles are color coded, with green being the top (first) quintile and red being the bottom (fifth) quintile. 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. The "About" tab contains additional details concerning this dataset.

The dataset includes the data for aged and disabled, Medicare Part A and Part B, beneficiaries reimbursement for Home Health Agency (HHA) by state and county of residence. The data included cover the years 2016 to 2020.

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

Graph and download economic data for Purchased Repairs and Maintenance to Machinery and Equipment for Home Health Care Services, All Establishments, Employer Firms (DISCONTINUED) (EXPMAEEF6216ALLEST) from 2012 to 2016 about repair, maintenance, employer firms, purchase, establishments, health, machinery, equipment, expenditures, services, housing, and USA.

Count of meal sites approved at one time to participate as a CACFP Day Care Home for 2015-2016.

United States - Purchased Professional and Technical Services for Home Health Care Services, All Establishments, Employer Firms (DISCONTINUED) was 2068.00000 Mil. of $ in January of 2017, according to the United States Federal Reserve. Historically, United States - Purchased Professional and Technical Services for Home Health Care Services, All Establishments, Employer Firms (DISCONTINUED) reached a record high of 2213.00000 in January of 2016 and a record low of 1784.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Purchased Professional and Technical Services for Home Health Care Services, All Establishments, Employer Firms (DISCONTINUED) - last updated from the United States Federal Reserve on November of 2025.

from: https://meps.ahrq.gov/mepsweb/about_meps/survey_back.jsp Survey Background The Medical Expenditure Panel Survey, which began in 1996, is a set of large-scale surveys of families and individuals, their medical providers (doctors, hospitals, pharmacies, etc.), and employers across the United States. MEPS collects data on the specific health services that Americans use, how frequently they use them, the cost of these services, and how they are paid for, as well as data on the cost, scope, and breadth of health insurance held by and available to U.S. workers.Major MEPS Components MEPS currently has two major components: the Household Component and the Insurance Component. The Household Component provides data from individual households and their members, which is supplemented by data from their medical providers. The Insurance Component is a separate survey of employers that provides data on employer-based health insurance. Household Component The Household Component (HC) collects data from a sample of families and individuals in selected communities across the United States, drawn from a nationally representative subsample of households that participated in the prior year's National Health Interview Survey (conducted by the National Center for Health Statistics). During the household interviews, MEPS collects detailed information for each person in the household on the following: demographic characteristics, health conditions, health status, use of medical services, charges and source of payments, access to care, satisfaction with care, health insurance coverage, income, and employment. The panel design of the survey, which features several rounds of interviewing covering two full calendar years, makes it possible to determine how changes in respondents' health status, income, employment, eligibility for public and private insurance coverage, use of services, and payment for care are related. The HC expenditures have been projected to future years by selected demographic characteristics by source of payment and type of service. HC data are available on the MEPS Web site in data tables, downloadable data files (person, job, event, or condition level), annually projected expenditures through 2016, and interactive data tools, as well as in publications using HC data.Insurance Component The Insurance Component (IC) collects data from a sample of private and public sector employers on the health insurance plans they offer their employees. The survey is also known as the Health Insurance Cost Study. The collected data include the number and types of private insurance plans offered (if any), premiums, contributions by employers and employees, eligibility requirements, benefits associated with these plans, and employer characteristics. IC estimates are available on the MEPS Web site in tabular form for national, regional, state, and metropolitan areas, as well as in publications using IC data and interactive data tools. IC data files are not available for public release.Other MEPS Components MEPS also includes a Medical Provider Component (MPC), which covers hospitals, physicians, home health care providers, and pharmacies identified by MEPS-HC respondents. Its purpose is to supplement and/or replace information received from the MEPS-HC respondents. Data files containing only this supplemental respondent information are not available, but the information is incorporated into the MEPS-HC data files. In 1996 only, MEPS included a Nursing Home Component (NHC) that gathered information from a sample of nursing homes and residents nationwide on the characteristics of the facilities and services offered; expenditures and sources of payment on an individual resident level; and resident characteristics, including functional limitation, cognitive impairment, age, income, and insurance coverage. The NHC also collected data on the availability and

ObjectiveNational interoperability is an agenda that has gained momentum in health care. Although several attempts to reach national interoperability, an alerting system through interconnected network of Health Information Exchange (HIE) organizations, Patient-Centered Data Home (PCDH), has seen preliminary success. The aim was to characterize the PCDH initiative through the Indiana Health Information Exchange's participation in the Heartland Region Pilot, which includes HIEs in Indiana, Ohio, Michigan, Kentucky, and Tennessee.Materials and MethodsAdmission, Discharge, and Transfer (ADT) transactions were collected between December 2016 and December 2017 among the seven HIEs in the Heartland Region. ADTs were parsed and summarized. Overlap analyses and patient matching software were used to characterize the PCDH patients. R software and Microsoft Excel were used to populate descriptive statistics and visualization.ResultsApproximately 1.5 million ADT transactions were captured. Majority of patients were female, ages 56–75 years, and were outpatient visits. Top noted reasons for visit were labs, screening, and abdominal pain. Based on the overlap analysis, Eastern Tennessee HIE was the only HIE with no duplicate service areas. An estimated 80 percent of the records were able to be matched with other records.DiscussionThe high volume of exchange in the Heartland Region Pilot established that PCDH is practical and feasible to exchange data. PCDH has the posture to build better comprehensive medical histories and continuity of care in real time.ConclusionThe value of the data gained extends beyond clinical practitioners to public health workforce for improved interventions, increased surveillance, and greater awareness of gaps in health for needs assessments. This existing interconnection of HIEs has an opportunity to be a sustainable path toward national interoperability.