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BACKGROUND: Regular assessment of the size and composition of the U.S. public health workforce has been a challenge for decades. Previous enumeration efforts estimated 450,000 public health workers in governmental and voluntary agencies in 2000, and 326,602 governmental public health workers in 2012, although differences in enumeration methodology and the definitions of public health worker between the two make comparisons problematic. PURPOSE: To estimate the size of the governmental public health workforce in 14 occupational classifications recommended for categorizing public health workers. METHODS: Six data sources were used to develop enumeration estimates: five for state and local public health workers and one for the federal public health workforce. Statistical adjustments were made to address missing data, overcounting, and duplicate counting of workers across surveys. Data were collected for 2010–2013; analyses were conducted in 2014. RESULTS: The multiple data sources yielded an estimate of 290,988 (range=231,464–341,053) public health workers in governmental agencies, 50%, 30%, and 20% of whom provide services in local, state, and federal public health settings, respectively. Administrative or clerical personnel (19%) represent the largest group of workers, followed by public health nurses (16%); environmental health workers (8%); public health managers (6%); and laboratory workers (5%). CONCLUSIONS: Using multiple data sources for public health workforce enumeration potentially improves accuracy of estimates but also adds methodologic complexity. Improvement of data sources and development of a standardized study methodology is needed for continuous monitoring of public health workforce size and composition.

OBJECTIVE: Approximately 25% of the public health workforce plans to retire by 2020. Succession planning is a core capability of the governmental public health enterprise; however, limited data are available regarding these efforts in state health agencies (SHAs). METHODS: We analyzed 2016 Workforce Gaps Survey data regarding succession planning in SHAs using the US Office of Personnel Management's (OPM's) succession planning model, including 6 domains and 27 activities. Descriptive statistics were calculated for all 41 responding SHAs. RESULTS: On average, SHAs self-reported adequately addressing 11 of 27 succession planning activities, with 93% of SHAs adequately addressing 1 or more activities and 61% adequately addressing 1 or more activities in each domain. CONCLUSIONS: The majority of OPM-recommended succession planning activities are not being addressed, and limited succession planning occurs across SHAs. Greater activity in the OPM-identified succession planning domains may help SHAs contend with significant turnover and better preserve institutional knowledge.

The behavioral health workforce, which encompasses a broad range of professions providing prevention, treatment, and rehabilitation services for mental health conditions and substance use disorders, is in the midst of what is considered by many to be a workforce crisis. The workforce shortage can be attributed to both insufficient numbers and maldistribution of workers, leaving some communities with no behavioral health providers. In addition, demand for behavioral health services has increased more rapidly as a result of federal legislation over the past decade supporting mental health and substance use parity and by healthcare reform. In order to address workforce capacity issues that impact access to care, the field must engage in extensive planning; however, these efforts are limited by the lack of timely and useable data on the behavioral health workforce. One method for standardizing data collection efforts is the adoption of a Minimum Data Set. This article describes workforce data limitations, the need for standardizing data collection, and the development of a behavioral health workforce Minimum Data Set intended to address these gaps. The Minimum Data Set includes five categorical data themes to describe worker characteristics: demographics, licensure and certification, education and training, occupation and area of practice, and practice characteristics and settings. Some data sources align with Minimum Data Set themes, although deficiencies in the breadth and quality of data exist. Development of a Minimum Data Set is a foundational step for standardizing the collection of behavioral health workforce data. Key challenges for dissemination and implementation of the Minimum Data Set are also addressed. ; Substance Abuse and Mental Health Services Administration; U.S. Department of Health and Human Services (U81HP29300-03-02)

BACKGROUND: Evidence demonstrates that medications for treating opioid use disorder (MOUD) —namely buprenorphine, methadone, and extended-release naltrexone—are effective at treating opioid use disorder (OUD) and reducing associated harms. However, MOUDs are heavily underutilized, largely due to the under-supply of providers trained and willing to prescribe the medications. METHODS: To understand comparative beliefs about MOUD and barriers to MOUD, we conducted a mixed-methods study that involved focus group interviews and an online survey disseminated to a random group of licensed U.S. physicians, which oversampled physicians with a preexisting waiver to prescribe buprenorphine. Focus group results were analyzed using thematic analysis. Survey results were analyzed using descriptive and inferential statistical methods. RESULTS: Study findings suggest that physicians have higher perceptions of efficacy for methadone and buprenorphine than for extended-release naltrexone, including for patients with co-occurring mental health disorders. Insurance obstacles, such as prior authorization requirements, were the most commonly cited barrier to prescribing buprenorphine and extended-release naltrexone. Regulatory barriers, such as the training required to obtain a federal waiver to prescribe buprenorphine, were not considered significant barriers by many physicians to prescribing buprenorphine and naltrexone in office-based settings. Nor did physicians perceive diversion to be a prominent barrier to prescribing buprenorphine. In focus groups, physicians identified financial, logistical, and workforce barriers—such as a lack of addiction treatment specialists—as additional barriers to prescribing medications to treat OUD. CONCLUSIONS: Additional education is needed for physicians regarding the comparative efficacy of different OUD medications. Governmental policies should mandate full insurance coverage of and prohibit prior authorization requirements for OUD medications.

Cities are key to climate change mitigation and adaptation in an increasingly urbanized world. As climate, socio-economic, and physical compositions of cities are constantly changing, these need to be considered in their urban climate adaptation. To identify these changes, urban systems can be characterized by physical, functional, and social indicators. Multi-dimensional approaches are needed to capture changes of city form and function, including patterns of mobility, land use, land cover, economic activities, and human behaviour. In this article, we examine how urban structure types provide one way to differentiate cities in general and to what extent socio-economic criteria have been considered regarding the characterization of urban typologies. In addition, we analyse how urban structure types are used in local adaptation strategies and plans to derive recommendations and concrete targets for climate adaptation. To do this, we examine indicators, background data used, and cartographic information developed for and within such urban adaptation plans, focusing in particular on the German cities of Karlsruhe and Berlin. The comparative analysis provides new insights into how present adaptation plans consider physical and social structures, including issues of human vulnerability within cities. Based on the analysis we make recommendations on how to improve the consideration of both physical and socio-economic aspects of a city to support pathways for adaptation.

Current efforts to fight the Covid-19 pandemic aim to slow viral spread and increase testing, protect health care workers from infection, and obtain ventilators and other equipment to prepare for a surge of critically ill patients. But additional actions are needed to rapidly increase health workforce capacity and to replenish it when personnel are quarantined or need time off to rest or care for sick family members. It seems clear that health care delivery organizations, educators, and government leaders will all have to be willing to cut through bureaucratic barriers and adapt regulations to rapidly expand the U.S. health care workforce and sustain it for the duration of the pandemic.

Public health workforce development efforts during the past 50 years have evolved from a focus on enumerating workers to comprehensive strategies that address workforce size and composition, training, recruitment and retention, effectiveness, and expected competencies in public health practice. We provide new perspectives on the public health workforce, using data from the Public Health Workforce Interests and Needs Survey, the largest nationally representative survey of the governmental public health workforce in the United States. Five major thematic areas are explored: workforce diversity in a changing demographic environment; challenges of an aging workforce, including impending retirements and the need for succession planning; workers' salaries and challenges of recruiting new staff; the growth of undergraduate public health education and what this means for the future public health workforce; and workers' awareness and perceptions of national trends in the field. We discussed implications for policy and practice.

Surveying governmental public health practitioners is a critical means of collecting data about public health organizations, their staff, and their partners.