In 2022, registered nurses in the United States were predominantly white, accounting for over ** percent of all registered nurses. According to the U.S. census, however, roughly ** percent of the U.S. population are white.

In 2022, of the ******* nursing assistants in nursing homes in the United States, roughly four in ten were white. Meanwhile, Black or African American accounted for another ** percent. Nursing assistants were therefore made up of predominantly racial minorities.

Financial overview and grant giving statistics of National Black Nurses Associaion Inc

Financial overview and grant giving statistics of Northern New Jersey Black Nurses Association

As of 2019, the distribution of selected healthcare professionals in the United State by race and ethnicity revealed deep disparities. During that year, the vast majority of healthcare workers in the US identified as white. For instance, only ** percent of registered nurses were Black and roughly ***** percent Hispanic.

Financial overview and grant giving statistics of San Diego Black Nurses Association

This dataset tracks annual black student percentage from 2013 to 2023 for Rhode Island Nurses Institute Middle College School District vs. Rhode Island

Financial overview and grant giving statistics of Greater New York City Black Nurses Association

This dataset tracks annual black student percentage from 2011 to 2023 for Hphs Nursing And Health Sciences Academy vs. Connecticut and Hartford School District

This dataset tracks annual black student percentage from 2005 to 2023 for Marie Curie High School-nursing vs. New York and New York City Geographic District #10

Financial overview and grant giving statistics of Southern Connecticut Black Nurses Association

Financial overview and grant giving statistics of Chicago Chapter Natl Black Nurses

Background: The Coronavirus disease (COVID-19) has emphasised the critical need to investigate the mental well-being of healthcare professionals working during the pandemic. It has been highlighted that healthcare professionals display a higher prevalence of mental distress and research has largely focused on frontline professions. Social restrictions were enforced during the pandemic that caused rapid changes to the working environment (both clinically and remotely). The present study aims to examine the mental health of a variety of healthcare professionals, comparing overall mental wellbeing in both frontline and non-frontline professionals and the effect of the working environment on mental health outcomes.

Method: A cross-sectional mixed methods design, conducted through an online questionnaire. Demographic information was optional but participants were required to complete: (a) Patient Health Questionnaire, (b) Generalised Anxiety Disorder, (c) Perceived Stress Scale, and (d) Copenhagen Burnout Inventory. The questionnaire included one open-ended question regarding challenges experienced working during the pandemic.

Procedure:
Upon ethical approval the online questionnaire was advertised for six weeks from 1st May 2021 to 12th June 2021 to maximise the total number of respondents able to partake. The survey was hosted on the survey platform “Online Surveys”. It was not possible to determine a response rate because identifying how many people had received the link was unattainable information. The advert for the study was placed on social media platforms (WhatsApp, Instagram, Facebook and Twitter) and shared through emails.

Participants were recruited through the researchers’ existing professional networks and they shared the advertisement and link to questionnaire with colleagues. The information page explained the purpose of the study, eligibility criteria, procedure, costs and benefits of partaking and data storage. Participants were made aware on the information page that completing and submitting the questionnaire indicated their informed consent. It was not possible to submit complete questionnaires unless blank responses were optional demographic data. Participants were informed that completed questionnaires could not be withdrawn due to anonymity.

The questionnaire consisted of four sections: demographic data, mental health information and the four psychometric tools, PHQ-9, GAD-7, PSS-10 and CBI. Due to the sensitive nature of this research, only the psychometric measures required an answer for each question, thus all demographic information was optional to encourage participant contentment. Once participants had completed the questionnaire and submitted, they were automatically taken to a debrief page. This revealed the hypothesis of the questionnaire and rationalised why it was necessary to conceal this prior to completion. Participants were signposted to mental health charities and a self-referral form for psychological support. Participants could contact the researcher via email to express an interest in the results. It was explained that findings would be analysed using descriptive statistics to investigate any correlations or patterns in the responses. Data collected was stored electronically, on a password protected laptop. It will be kept for three years and then destroyed.

Instruments: PHQ-9, GAD-7, PSS-10 and CBI.

Other questions included:

Thank you for considering taking part in the questionnaire! Please remember by completing and submitting the questionnaire you are giving your informed consent to participate in this study.

Demographic:

Gender: please select one of the following:

Male Female Non-binary Prefer not to answer

Age: what is your age?

Open question: Prefer not to answer

What is your current region in the UK?

South West, East of England, South East, East Midlands, Yorkshire and the Humber, North West, West Midlands, North East, London, Scotland, Wales, Northern Ireland Prefer not to answer

Ethnicity: please select one of the following:

White English, Welsh, Scottish, Northern Irish or British Irish Gypsy or Irish Traveller Any other White background Mixed or Multiple ethnic groups White and Black Caribbean White and Black African White and Asian Any other Mixed or Multiple ethnic background Asian or Asian British Indian Pakistani Bangladeshi Chinese Any other Asian background Black, African, Caribbean or Black British African Caribbean Any other Black, African or Caribbean background Other ethnic group Arab Option for other please specify Prefer not to answer

Employment/environment:

What was your employment status in 2020 prior to COVID-19 pandemic?

Please select the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your current employment status?

Please tick the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your healthcare profession/helping profession?

Please state your job title. Open question

How often did you work from home before the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the first UK national lockdown for COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the second UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often have you worked from home during the third UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often are you currently working from home during the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

Mental health:

How would you describe your mental health leading up to the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

How would you describe your mental health during the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

What have been the main challenges working as a healthcare professional/helping profession during COVID-19 pandemic? Open question

Data analysis: Firstly, any missing data was checked by the researcher and noted in the results section. The data was then analysed using a statistical software package called Statistical Package for the Social Sciences version 28 (SPSS-28). Descriptive statistics were collected to organise and summarise the data, and a correlation coefficient describes the strength and direction of the relationship between two variables. Inferential statistics were used to determine whether the effects were statistically significant. Responses to the open-ended question were coded and examined for key themes and patterns utilising the Braun and Clarke (2006) thematic analysis approach.

Ethical considerations: The study was approved by the Health Science, Engineering and Technology Ethical Committee with Delegated Authority at the University of Hertfordshire.

The potential benefits and risks of partaking in the research were contemplated and presented on the information page to promote informed consent. Precautions to prevent harm to participants included eligibility criteria, excluding those under eighteen years older or experiencing mental health distress. As the questionnaire was based around employment and the working environment, another exclusion involved experiencing a recent job change which caused upset.

An anonymous questionnaire and optional input of demographic data fostered the participants’ right to autonomy, privacy and respect. Specific employment and organisation or company information were not collected to protect confidentiality. Although participants were initially deceived regarding the hypotheses, they were provided with accurate information about the purpose of the study. Deceit was appropriate to collect unbiased information and participants were subsequently informed of the hypotheses on the debrief page.

Financial overview and grant giving statistics of Black Nurses Rock Greater Charlotte

Historical Dataset of Rhode Island Nurses Institute Middle College School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2014-2023),Asian Student Percentage Comparison Over Years (2012-2023),Hispanic Student Percentage Comparison Over Years (2013-2023),Black Student Percentage Comparison Over Years (2013-2023),White Student Percentage Comparison Over Years (2013-2023),Two or More Races Student Percentage Comparison Over Years (2014-2023),Comparison of Students By Grade Trends

This layer contains census tract level 2020 Decennial Census redistricting data as reported by the U.S. Census Bureau for all states plus DC and Puerto Rico. The attributes come from the 2020 Public Law 94-171 (P.L. 94-171) tables.Data download date: August 12, 2021Census tables: P1, P2, P3, P4, H1, P5, HeaderDownloaded from: Census FTP siteProcessing Notes:Data was downloaded from the U.S. Census Bureau FTP site, imported into SAS format and joined to the 2020 TIGER boundaries. Boundaries are sourced from the 2020 TIGER/Line Geodatabases. Boundaries have been projected into Web Mercator and each attribute has been given a clear descriptive alias name. No alterations have been made to the vertices of the data.Each attribute maintains it's specified name from Census, but also has a descriptive alias name and long description derived from the technical documentation provided by the Census. For a detailed list of the attributes contained in this layer, view the Data tab and select "Fields". The following alterations have been made to the tabular data:Joined all tables to create one wide attribute table:P1 - RaceP2 - Hispanic or Latino, and not Hispanic or Latino by RaceP3 - Race for the Population 18 Years and OverP4 - Hispanic or Latino, and not Hispanic or Latino by Race for the Population 18 Years and OverH1 - Occupancy Status (Housing)P5 - Group Quarters Population by Group Quarters Type (correctional institutions, juvenile facilities, nursing facilities/skilled nursing, college/university student housing, military quarters, etc.)HeaderAfter joining, dropped fields: FILEID, STUSAB, CHARITER, CIFSN, LOGRECNO, GEOVAR, GEOCOMP, LSADC, BLOCK, BLKGRP, and TBLKGRP.GEOCOMP was renamed to GEOID and moved be the first column in the table, the original GEOID was dropped.Placeholder fields for future legislative districts have been dropped: CD118, CD119, CD120, CD121, SLDU22, SLDU24, SLDU26, SLDU28, SLDL22, SLDL24 SLDL26, SLDL28.P0020001 was dropped, as it is duplicative of P0010001. Similarly, P0040001 was dropped, as it is duplicative of P0030001.In addition to calculated fields, County_Name and State_Name were added.The following calculated fields have been added (see long field descriptions in the Data tab for formulas used): PCT_P0030001: Percent of Population 18 Years and OverPCT_P0020002: Percent Hispanic or LatinoPCT_P0020005: Percent White alone, not Hispanic or LatinoPCT_P0020006: Percent Black or African American alone, not Hispanic or LatinoPCT_P0020007: Percent American Indian and Alaska Native alone, not Hispanic or LatinoPCT_P0020008: Percent Asian alone, Not Hispanic or LatinoPCT_P0020009: Percent Native Hawaiian and Other Pacific Islander alone, not Hispanic or LatinoPCT_P0020010: Percent Some Other Race alone, not Hispanic or LatinoPCT_P0020011: Percent Population of Two or More Races, not Hispanic or LatinoPCT_H0010002: Percent of Housing Units that are OccupiedPCT_H0010003: Percent of Housing Units that are VacantPlease note these percentages might look strange at the individual tract level, since this data has been protected using differential privacy.**To protect the privacy and confidentiality of respondents, data has been protected using differential privacy techniques by the U.S. Census Bureau. This means that some individual tracts will have values that are inconsistent or improbable. However, when aggregated up, these issues become minimized. The pop-up on this layer uses Arcade to display aggregated values for the surrounding area rather than values for the tract itself.Download Census redistricting data in this layer as a file geodatabase.Additional links:U.S. Census BureauU.S. Census Bureau Decennial CensusAbout the 2020 Census2020 Census2020 Census data qualityDecennial Census P.L. 94-171 Redistricting Data Program

Researchers at Homerton Hospital noticed that while black women are less likely to develop breast cancer than their white counterparts, when they are diagnosed with breast cancer it tends to be at a younger age, typically before the age of entry into the NHS Breast Screening Programme. Black women also tend to be diagnosed with the more severe and aggressive types of breast cancer. Evidence suggests for various social and cultural reasons Black women are less breast aware and less likely to seek help from medical professionals. In response to these issues Homerton Hospital commissioned a six-minute information film . There is a clear need to evaluate the effectiveness of the DVD in raising awareness of breast cancer, encouraging early presentation and thereby promoting improvements in the detection of and prognosis for breast cancer in black patients. This study consists of 2 phases, a pilot and a main study one. In the first stage of the project, we piloted the distribution of the DVD amongst black women aged 25-50 in four GP practices within NHS East London and the City (with two practices recruited to serve as intervention and two practices to serve as a control). A mixture of quantitative (analysis of consultation and referral rates) and qualitative (interviews with practice nurses and patient focus groups) methods were used to evaluate the DVD’s impact. The findings from this study informed the design of a full randomised trial evaluation, presenting the second stage of the project. The same mixed methods approach was used to analyze the data for the main study phase, with 10 GP practices being involved (five as intervention and five as control practices). Black women in London have in the past tended to be diagnosed with more advanced breast cancer at an earlier age than their white counterparts. A 7 minute DVD was developed to improve awareness of breast cancer among young black women in East London. The study, a fully randomized control trial evaluation, was divided into pilot and main study. Five local GP surgeries acted as intervention sites and distributed the DVD to registered patients who fit the study criteria; another five acted as control practices. The main aims of the study were to raise awareness of breast cancer within London’s black communities and to evaluate the DVDs impact on breast consultations and referrals. Quantitative methods were used to analyse shifts in consultation and referrals rates at six month intervals. Additionally, qualitative methods (focus groups with patients from the target population and interviews with practice nurses and GPs) to access the DVDs acceptability and communicative function. With the assistance of members of NHS East London and the City will recruit 10 practices in the City and Hackney area (with an estimated black female population aged 25-50 of 1680). 5 practices will be selected at random from these 10. Using practice lists we will aim to post the DVD to all black women aged 25-50 registered at these 5 practices (excluding those who already have a previous diagnosis of breast cancer). The 5 practices who have not received the DVD will serve as control practices. This will allow us to evaluate the impact of the DVD. (Control practices will receive copies of the DVD to distribute once the study is complete for equity reasons.) The maximum age in our study reflects the age of entry into the national breast cancer screening programme (50). The minimum age has been selected as the earliest cases at Homerton include women as young as 25. Quantitative Evaluation Using the EMIS database we will analyse data on consultations regarding breast symptoms and referral rates for breast symptoms, by age and ethnicity for all participating GP practices for 6 months after the intervention and the corresponding 6 months from the previous year before the intervention. We will augment this with a manual audit of a random subset of GP consultations. Using this data we will evaluate the impact of the DVD on consultation and referral rates. Data will be analysed by poisson regression. In terms of data quality from the EMIS searches, we shall draw up a practice search protocol for a series of codes related to breast symptoms (for example including codes for mastalgia, and mastodynia as well as ‘breast pain’, and excluding consultations with codes specific to breast feeding problems. Qualitative Evaluation Within each of the 14 participating GP practices we will: 1) Conduct a focus group with members of the black female patient population, aged 25-50, around 1-2 months following the distribution of the DVD (to allow patients sufficient time to view the DVD but not so much time they will have forgotten receiving it). We will aim to recruit 8-10 participants from each practice. Recruitment will be facilitated by staff at the participating practices, in addition to advertising at those practices. 2) Interview a key healthcare worker in each practice (ideally one of those most closely involved with breast symptoms and breast awareness e.g. a practice nurse) for their perspective on general levels of breast awareness within their practice community, existing alternative interventions, and the effectiveness of the DVD. As health worker opinions are not the key focus of the project (but rather a means of gaining a more complete picture of the practice community and acknowledging the practice perspective/voice), and a larger sample has cost and recruitment concerns, it had been decided one worker per practice should be sufficient.

Financial overview and grant giving statistics of Greater Kansas City Black Nurses Association

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).

Demographics stratified by total patients and their encounters.