Understanding Available Data Sources to Estimate the Size and Distribution of Community Health Workers in the United States
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Estimating the Community Health Worker (CHW) workforce in the U.S. revealed varying numbers across data sources. State certification or reimbursement policies did not significantly impact CHW distribution.
Area Of Science
- Public Health
- Health Workforce Studies
- Health Services Research
Background
- Community Health Workers (CHWs) are vital for improving health outcomes and addressing health disparities.
- Understanding the size and distribution of the CHW workforce is crucial for effective planning and resource allocation.
- Existing data sources provide fragmented insights into the national CHW landscape.
Purpose Of The Study
- To estimate the national size and geographic distribution of the Community Health Worker (CHW) workforce in the United States.
- To compare CHW rates across different states using multiple national data sources.
- To examine the association between state-level CHW certification or reimbursement policies and the CHW workforce rate.
Main Methods
- Utilized three national data sources: National Plan and Provider Enumeration System (NPPES; 2022), Bureau of Labor Statistics (BLS; 2021), and American Community Survey (ACS; 2020).
- Calculated the rate of CHWs per 100,000 population for each state.
- Employed one-way analyses of variance (ANOVAs) to compare CHW rates in states with and without CHW certification or reimbursement policies.
Main Results
- National CHW rates varied significantly by data source: 7.44 per 100,000 in NPPES, 18.37 in BLS, and 35.44 in ACS.
- No statistically significant differences were found in the mean number of CHWs per 100,000 population between states with and without CHW certification or reimbursement policies.
- The findings highlight inconsistencies in CHW identification across major national datasets.
Conclusions
- Current national data sources yield divergent estimates of the Community Health Worker (CHW) workforce size.
- State-level policies for CHW certification and reimbursement did not demonstrate a significant impact on workforce distribution in this analysis.
- Further research and data harmonization are essential to accurately quantify and support the CHW workforce.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
The World Health Organization (WHO) is a specialized agency of the United Nations based in Geneva. The WHO has many initiatives that center around health. Primarily, they lead global efforts to expand universal health coverage using science-based policies and programs. They are also responsible for shaping health research agendas and developing norms and standards.
The WHO provides expert team support, including funding, vaccines, testing, and treatment tools at the country level to fight...
There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
Energy transfer occurs through heat and work. The relationship between internal energy, heat, and work is represented by the equation:
While heat is a function of an observed temperature change, work is a function of an observed volume change called the pressure-volume work. Work (w) can be defined as a force (F)...
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Overview
Populations are groups of individuals of the same species that inhabit a shared environment. Communities include multiple co-existing, interacting populations of different species. Metapopulations span multiple populations of the same species that occupy different areas. Metapopulations interact through immigration and emigration, providing genetic diversity that lends resilience to harsh environments. Population size and density can be estimated using quadrat and mark and recapture...
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...