According to 2023 data, almost one in ten nursing assistants in nursing homes were men in the United States. Meanwhile, men accounted for 16 percent of residential care aids in the same year.

This graph shows the percentage of U.S. residents in nursing homes in 2014, by age and gender. In that year around *** percent of men aged over 85 years were in a nursing home, compared to **** percent of women in this age group.

In 2022, around ********** of assisted living residents in the United States were women. It is well-known that women outlive men, and therefore there are more women than men in the elderly population. Yet, the share of female assisted living residents is still higher than in the population, as females account for ** percent of the U.S. population ages 85 years and above.

In 2020, nursing home residents in the United States were mostly *****, ************, ****** and over the age of ** years. The gender distribution was roughly six women to four men. Despite a ***** of residents being over 85 years, some ** percent were under the age of 65 years.

Totals and percentages of nursing and residential care facility residents by age group and gender, by 2017 NAICS (North American Industry Classification System), for Canada, provinces and territories, annual.

Gender pay gap data, with year on year change and extended information (such as part-time mean and median, bonus & BIK info, etc. for Sonas Nursing Homes. Data is available for 2022-2025 for most companies.

Percentages in italic.Data source: Swiss Federal Statistical Office, MedStat/SOMED/SNC.*2000 census data.Study population characteristics, women.

BackgroundData on nursing home admission after myocardial infarction (MI) in the elderly are scarce. We investigated nursing home admission within 6 months and 2 years after MI including predictors for nursing home admission in a nationwide cohort of elderly patients.MethodsUsing Danish nationwide registries, we identified all subjects 65 years or older residing at home who were discharged following first-time MI in the period 2008–2015. We determined sex- and age-stratified incidence rates per 1000 person years (IRs) and incidence rate ratios (IRRs) of nursing home admissions using Poisson regression models compared to the Danish population 65 years or older with no prior MI. Poisson regression models were also applied to identify predictors of nursing home admission.ResultsThe 26,539 patients who were discharged after MI had a median age of 76 (quartile 1-quartile 3: 70–83) years. The IRs of nursing home admission after MI increased with increasing age and for 80-84-year-old women IRs after 6 months and 2 years were 113.9 and 62.9, respectively, compared to 29.4 for women of the same age with no prior MI. The IRs for 80-84-year-old men after MI were 56.0 and 36.2, respectively, compared to 24.3 for men of the same age with no prior MI. In adjusted analyses the 6 months and 2 years IRRs for 80-84-year-old subjects were 2.56 (95% CI 2.11–3.10) and 1.41 (95% CI 1.22–1.65) for women and 1.74 (95% CI 1.34–2.25) and 1.05 (95% CI 0.88–1.26) for men, respectively. Predictors were advanced age, dementia, home care, Parkinson’s disease, cerebrovascular disease, living alone, depression, and arrhythmia.ConclusionIn elderly patients discharged following first-time MI, the risk of subsequent nursing home admission within 6 months was 2-fold higher compared to an age-stratified population with no prior MI. After 2 years this risk remained higher in women.

In 2020, long-term care (LTC) hospital was the only LTC setting where men outnumbered women. Assisted living communities, especially, had higher portions of women residents than men.

BackgroundHigh prevalence of functional limitations has been previously observed in nursing homes. Disability may depend not only on the characteristics of the residents but also on the facility characteristics. The aims of this study were: 1, to describe the prevalence of functional disability in older people living in Spanish nursing homes; and 2, to analyze the relationships between individual and nursing home characteristics and residents’ functional disability.MethodsA cross-sectional study with data collected from 895 residents in 34 nursing homes in the province of Albacete (Spain) was conducted. Functional status was assessed by the Barthel Index. Taking into account both levels of data (individual and institutional characteristics) we resorted to a multilevel analysis in order to take different sources of variability in the data.ResultsThe prevalence of functional disability of the total sample was 79.8%. The best fitting multilevel model showed that female gender, older age, negative self-perception of health, and living in private nursing homes were factors significantly associated with functional disability. After separating individual and institutional effects, the institutions showed significant differences.ConclusionsIn line with previous findings, our study found high levels of functional dependence among institutionalized elders. Gender, age, self-perception of health, and institution ownership were associated with functional status. Disentangling individual and institutional effects by means of multilevel models can help evaluate the quality of the residences.

Introduction: The COVID-19 pandemic caused an increased mortality in nursing homes due to its quick spread and the age-related high lethality.

Results: We observed a two-month mortality of 40%, compared to 6.4% in the previous year. This increase was seen in both COVID-19 positive (43%) and negative (24%) residents, but 8 patients among those testing negative on the swab, tested positive on serological tests. Increased mortality was associated with male gender, older age, no previous vitamin D supplementation and worse "activities of daily living (ADL)" scores, such as Barthel index, Tinetti scale and S.OS.I.A.

Conclusion: Our data confirms a higher geriatric mortality due to COVID-19. Negative residents also had higher mortality, which we suspect is secondary to preanalytical error and a low sensitivity of the swab test in poorly compliant subjects. Male gender, older age and low scores on ADL scales (probably due to immobility) are risk factors for COVID-19 related mortality. Finally, mortality was inversely associated with vitamin D supplementation.

Design: In this observational study, we described the two-month mortality among the 157 residents (age 60-100) of a nursing home after Sars-CoV-2 spreading, reporting the factors associated with the outcome. We also compared the diagnostic tests for Sars-CoV-2.

https://pubmed.ncbi.nlm.nih.gov/33353888/

Totals and percentages of nursing and residential care facility residents by age group and gender, by 2017 NAICS (North American Industry Classification System), for Canada, provinces and territories, annual.

Number of people aged 65 and older who stated "Very safe" or "Pretty safe" to the question "How safe or unsafe does it feel to live in your nursing home?" divided by all people aged 65 and older in nursing homes who answered the survey of older people's perception. No opinion is excluded from the denominator. Data as of 2012. Data are available according to gender breakdown.

A. SUMMARY This archived dataset includes data for population characteristics that are no longer being reported publicly. The date on which each population characteristic type was archived can be found in the field “data_loaded_at”. B. HOW THE DATASET IS CREATED Data on the population characteristics of COVID-19 cases are from:  * Case interviews  * Laboratories  * Medical providers    These multiple streams of data are merged, deduplicated, and undergo data verification processes.   Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups. Gender * The City collects information on gender identity using these guidelines. Skilled Nursing Facility (SNF) occupancy * A Skilled Nursing Facility (SNF) is a type of long-term care facility that provides care to individuals, generally in their 60s and older, who need functional assistance in their daily lives.  * This dataset includes data for COVID-19 cases reported in Skilled Nursing Facilities (SNFs) through 12/31/2022, archived on 1/5/2023. These data were identified where “Characteristic_Type” = ‘Skilled Nursing Facility Occupancy’. Sexual orientation * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old. Learn more about our data collection guidelines pertaining to sexual orientation. Comorbidities * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. Homelessness Persons are identified as homeless based on several data sources: * self-reported living situation * the location at the time of testing * Department of Public Health homelessness and health databases * Residents in Single-Room Occupancy hotels are not included in these figures. These methods serve as an estimate of persons experiencing homelessness. They may not meet other homelessness definitions. Single Room Occupancy (SRO) tenancy * SRO buildings are defined by the San Francisco Housing Code as having six or more "residential guest rooms" which may be attached to shared bathrooms, kitchens, and living spaces. * The details of a person's living arrangements are verified during case interviews. Transmission Type * Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown. C. UPDATE PROCESS This dataset has been archived and will no longer update as of 9/11/2023. D. HOW TO USE THIS DATASET Population estimates are only available for age groups and race/ethnicity categories. San Francisco po

The Older Persons and Informal Caregivers Survey - Minimum DataSet (TOPICS-MDS) is a public data repository which contains information on the physical and mental health and well-being of older persons and informal caregivers and their care use across the Netherlands. The database was developed at the start of The National Care for the Elderly Programme (‘Nationaal Programma Ouderenzorg’ - NPO) on behalf of the Organisation of Health Research and Development (ZonMw - The Netherlands), in part to ensure uniform collection of outcome measures, thus promoting comparability between studies.Since September 2014, TOPICS-MDS data are also collected within the ZonMw funded ‘Memorabel’ programme, that is specifically aimed at improving the quality of life for people with dementia and the care and support provided to them. In Memorabel round 1 through 4, 11 different research projects have collected TOPICS-MDS data, which has resulted in a pooled database with cross-sectional and (partly) longitudinal data of 1,400 older persons with early onset or advanced dementia and about 950 informal caregivers. Out of these numbers, a number of 919 concerns care receiver - caregiver dyads of whom information on both the care receiver and caregiver is available.More background information on both NPO and Memorabel 1-4 can be found in the overall information on TOPICS-MDS under the tab ‘Data files’ in DANS EASY (doi.org/10.17026/dans-xvh-dbbf).The 'TOPICS-MDS Memorabel 1-4 care receiver-caregiver dyads' dataset, as part of the Memorabel 1-4 database, contains both care receiver (older person) and informal caregiver data. The dataset includes data on age, gender, country of birth, level of education, marital status and living situation of the care receiver, as well as data on their physical and emotional health and well-being, quality of life, daily functioning and use of care, such as GP visits, home care, day care/treatment and admittance in a hospital, home for the aged or nursing home. The dataset also includes data on age and gender of the caregiver and their relationship with the care receiver, as well as data on their emotional health and well-being, quality of life, time spent on informal caregiving and caregiver burden.Although the TOPICS-MDS survey instruments for the care receiver and caregiver were updated in respectively 2017 and 2019, the same initial version of the instruments was used in both NPO and Memorabel 1-4 projects. The TOPICS-MDS care receiver-caregiver dyads data from NPO and Memorabel 1-4 can therefore be easily merged.

In 2023, approximately ** percent of all home care workers were female, and only ** percent were male. Since previous years the majority of home care workers have been women.

AimThe aim of this study was to investigate the frequency of and the gender differences in the use of professional home care in Germany.MethodsWe used harmonized data from three large cohort studies from Germany (“Healthy Aging: Gender-specific trajectories into the latest life”; AgeDifferent.de Platform). Data were available for 5,393 older individuals (75 years and older). Mean age was 80.2 years (SD: 4.1 years), 66.6% were female. Professional homecare outcome variables were use of outpatient nursing care, paid household assistance, and meals on wheels' services. Logistic regression models were used, adjusting for important sociodemographic variables.ResultsAltogether 5.2% of older individuals used outpatient nursing care (6.2% women and 3.2% men; p < 0.001), 24.2% used paid household assistance (26.1% women and 20.5% men; p < 0.001) and 4.4% used meals on wheels' services (4.5% women and 4.0% men; p = 0.49). Regression analysis revealed that women had higher odds of using paid household assistance than men (OR = 1.48, 95% CI: [1.24–1.76]; p < 0.001), whereas they had lower odds of using meals on wheels' services (OR = 0.64, 95% CI: [0.42–0.97]; p < 0.05). No statistically significant differences in using outpatient nursing care between women and men were found (OR = 1.26, 95% CI: [0.87–1.81]; p = 0.225). Further, the use of home care was mainly associated with health-related variables (e.g., stroke, Parkinson's disease) and walking impairments.ConclusionsOur study showed that gender differences exist in using paid household assistance and in culinary dependency. For example, meals on wheels' services are of great importance (e.g., for individuals living alone or for individuals with low social support). Gender differences were not identified regarding outpatient nursing care. Use of professional home care services may contribute to maintaining autonomy and independence in old age.

Graph and download economic data for Employed full time: Wage and salary workers: Nursing, psychiatric, and home health aides occupations: 16 years and over: Women (LEU0254703800A) from 2000 to 2019 about psychiatric, nursing, occupation, full-time, females, health, salaries, workers, 16 years +, wages, housing, employment, and USA.

This table shows the number and percentage of persons registered in the Basic Persons Register (BRP) at any time in the reporting year to whom medicinal products covered by the compulsory basic health insurance scheme have been provided during the reporting year. The number of daily doses (DDDs) provided is also shown. Until 2010, the figures also relate to pharmaceutical supplies to persons who were registered in the BRP but were no longer resident in the Netherlands. Medicines provided to hospitalised persons (hospital care) and nursing homes (AWBZ/Wlz) are not included. Medicines provided to persons in nursing homes are included.

The figures are broken down by drug group, age and gender.

Data available from: 2006

Status of the figures: The figures for 2020 and 2021 are provisional. The other figures are final.

Amendments as of 9 December 2022: — The table has been extended with information on the number of defined daily doses (DDDs) provided. — Preliminary figures for 2020 (DDDs) and 2021 (all topics) have been added.

When will there be new figures?
Fourth quarter of 2023