Although significant heterogeneity among studies precluded pooling of data and meta-analyses, the weight of the available RCT evidence suggests positive benefits may be attributable to the use of CHWs interventional strategy in the context of the U.S. health care setting.
Thoroughly characterizing and continuously monitoring the public health workforce is necessary for ensuring capacity to deliver public health services. A prerequisite for this is to develop a standardized methodology for classifying public health workers, permitting valid comparisons across agencies and over time, which does not exist for the public health workforce. An expert working group, all of whom are authors on this paper, was convened during 2012-2014 to develop a public health workforce taxonomy. The purpose of the taxonomy is to facilitate the systematic characterization of all public health workers while delineating a set of minimum data elements to be used in workforce surveys. The taxonomy will improve the comparability across surveys, assist with estimating duplicate counting of workers, provide a framework for describing the size and composition of the workforce, and address other challenges to workforce enumeration. The taxonomy consists of 12 axes, with each axis describing a key characteristic of public health workers. Within each axis are multiple categories, and sometimes subcategories, that further define that worker characteristic. The workforce taxonomy axes are occupation, workplace setting, employer, education, licensure, certification, job tasks, program area, public health specialization area, funding source, condition of employment, and demographics. The taxonomy is not intended to serve as a replacement for occupational classifications but rather is a tool for systematically categorizing worker characteristics. The taxonomy will continue to evolve as organizations implement it and recommend ways to improve this tool for more accurate workforce data collection.
Background In 2017, 46.6 million U.S. adults aged 18 or older self-reported as having mental illness of which 52.0% or 24.2 million are women age 18-49. Perinatal depression and anxiety are linked to adverse outcomes concerning pregnancy, maternal functioning, and healthy child development. Methods and findings Using the 2014 Health Center Patient Survey (HCPS), the objectives of the cross-sectional study are to assess the prevalence of self-reported mental health conditions among female patients of reproductive age and to examine the association between depression and physical health. Physical health conditions of interest included self-rated health, obesity, hypertension, smoking, and diabetes, which all have established associations with potential pregnancy complications and fetal health. The study found 40.8% of patients reported depression; 28.8% reported generalized anxiety; and 15.2% met the criteria for serious psychological distress on the Kessler 6 scale. Furthermore, patients with depression had two to three times higher odds of experiencing co-occurring physical health conditions. Conclusions This study expands the discourse on maternal mental health, throughout the preconception, post-partum, and inter-conception care periods to improve understanding of the inter-correlated physical and mental health issues that could impact pregnancy outcomes and life course trajectory. From 2014 to 2018, the Health Resources and Services Administration (HRSA) has supported investments of nearly $750 million to improve and expand access to mental health and substance use disorder services for prevention, treatment, health
The city of Baltimore is a typical, large, urban center in the United States with several major academic medical institutions surrounded by disadvantaged neighborhoods with multiple poor health indices. In order to understand the extent to which academic research agendas reflect the health concerns of Baltimore's local population, a systematic review was conducted to identify research about four key, health-related topic areas. We classified papers on: disease prevalence and health status, utilization of health services, population-based interventions, and the unmet health needs of Baltimore City residents. Approximately 4,150 citations were identified in the search and two levels of screening yielded a total of 288 papers. The majority of articles (n = 189) examined prevalence of health conditions such as Human Immunodeficiency Virus (HIV), mental health and mental disorders, and sexually transmitted diseases. Papers about specific target populations focused primarily on adults, African Americans, and females. Despite a significant body of research concerning several health conditions and priority populations, significant gaps in knowledge about health services utilization, community interventions, unmet health needs, and the prevalence of specific health issues remain. This review provides valuable insight into the extent of health research conducted about the city of Baltimore and whether community health priorities have been investigated. It provides a basis for examining the potential directions of academic research centers to effectively identify and address collective, urban health priorities of the communities in which they reside.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.