Behavioral Health Workforce Distribution in Socially Disadvantaged Communities.

This study sought to understand the geographic distribution of three behavioral health clinician (BHC) types in disadvantaged communities in the U.S. across a standardized index of area disadvantage. CMS National Plan and Provider Enumeration System's data were used to identify BHC practice addresses. Addresses were geocoded and mapped to census block groups across Area Disadvantage Index (ADI) scores. Differences in the proportion of BHCs per 100k people in a block group by ADI, clinician type, and rurality were compared. Zero-inflated negative binomial models assessed associations between ADI score with any amount, and expected count, of BHC type in a block group. The sample included 836,780 BHCs (51.5% counselors, 34.5% social workers, 14.0% psychologists). Results indicated there were fewer BHCs in areas of high disadvantage with 351 BHCs in the lowest need versus 267 BHCs in highest need areas, per 100k people. BHC type was differently associated with the rate of clinicians per 100k by ADI and block groups that were both rural and high ADI had the least BHCs located. Findings suggest the maldistribution of BHCs by ADI underscores how some BHCs may be better positioned to meet the needs of vulnerable communities. Increasing access to behavioral health care requires a workforce equitably positioned in high-need areas. Reforms to payment and practice regulations may support BHCs to deliver services in socially disadvantaged neighborhoods.

Assessing the Training for Certified Peer Support Specialists Who Provide Mental Health and Substance Use Services.

The behavioral health system's peer support workforce must be adequately trained to perform peer support services, but evidence of the adequacy of their training needs to be improved. With survey data from 667 certified peer support specialists (CPSS) from North Carolina, Kentucky, Virginia, and Tennessee, this study used (a) binomial probability test to assess perceptions about the adequacy of the workforce's training, (b) latent profile analysis to identify patterns and predictors of perceptions about the SAMHSA core competencies covered in their training, and (c) thematic analysis to identify additional training needs. Most respondents identified as White (72%), female (73%), and had some college education (83%). Most of the workforce (> 90%) felt prepared to provide services, regardless of their state. Highly and moderately sufficient coverage emerged as two distinct response patterns regarding coverage of the SAMSHA core competencies, with respondents' years of experience, state of residence, education level, race, and sense of preparedness predicting the probability of fitting into either profile. Participants desired additional training in trauma-informed practices, motivational interviewing, and new treatment approaches. Peers' experiences and perspectives were similar across different states. The findings suggest booster training sessions or continuing education opportunities are needed to maintain a robust and well-prepared peer support workforce. States should consider reciprocity agreements to enable the trained workforce to practice across states. A key implication for the training content is the need to incorporate contemporary issues relating to mental health and substance use disorders to better meet behavioral health needs.

Varying Estimates of Social Workers in the United States: Which Data Source to Use?

Behavioral health needs continue rise in the United States and constitute a key driver of health care utilization, costs, and outcomes. Social workers provide a wide range of services across health, behavioral health, and community settings, and while this heterogeneity in practice benefits care delivery, it complicates health workforce analyses. This analysis compares five commonly used national data sources and details similarities and differences in their estimates of the number, type, and practice characteristics of social workers. The analysis suggests that estimates vary significantly between data sets ranging from 282,425 to 1,022,859 social workers; as well as yield different findings of types of social workers in the United States, depending on the data set used. These differences have the potential to shape how researchers and policy makers assess the adequacy of the social work workforce and identify solutions to address the nation's behavioral health and social care needs.

Preparing behavioral health clinicians for success and retention in rural safety net practices.

PURPOSE: This study assesses how, among behavioral health clinicians working in rural safety net practices, the amount of exposure to care in rural underserved communities received during training relates to confidence in skills important in their work settings, successes in jobs and communities, and anticipated retention. METHODS: This study uses survey data from Licensed Clinical Social Workers, Licensed Professional Counselors, and Psychologists working in rural safety net practices in 21 states while receiving educational loan repayment support from the National Health Service Corps, from 2015 to April 2022. FINDINGS: Of the 778 survey respondents working in rural counties, 486 (62.5%) reported they had formal education experiences with medically underserved populations during their professional training, for a median of 47 weeks. In analyses adjusting for potential confounders, the estimated amount of rural training exposure was positively associated with a variety of indicators of clinicians' integration and fit with their communities as well as with longer anticipated retention within their rural safety net practices. The amount of training in care for rural underserved populations was not associated with clinicians' confidence levels in various professional skills or successes in their work, including connection with patients and work satisfaction. CONCLUSIONS: Formal training in care for underserved populations is a large part of the education of behavioral health clinicians who later work in rural safety net practices. More training in rural underserved care for these clinicians is associated with greater integration and fit in their communities and longer anticipated retention in their practices, but not with skills confidence or practice outcomes.

Harm reduction workforce, behavioral health, and service delivery in the USA: a cross-sectional study.

BACKGROUND: Despite recent financial and policy support for harm reduction in the USA, information on the types of workers within organizations who design, implement, and actualize harm reduction services remains nascent. Little is known about how variability in the harm reduction workforce impacts referrals and linkages to other community supports. This exploratory mixed-methods study asked: (1) Who constitutes the harm reduction workforce? (2) Who provides behavioral health services within harm reduction organizations? (3) Are referral services offered and by whom? (4) Do referrals differ by type of harm reduction worker? METHODS: Purposive sampling techniques were used to distribute an electronic survey to U.S.-based harm reduction organizations. Descriptive statistics were conducted. Multivariate binary logistic regression models examined the associations (a) between the odds of the referral processes at harm reduction organizations and (b) between the provision of behavioral health services and distinct types of organizational staff. Qualitative data were analyzed using a hybrid approach of inductive and thematic analysis. RESULTS: Data from 41 states and Washington, D.C. were collected (N = 168; 48% response rate). Four primary types of workers were identified: community health/peer specialists (87%); medical/nursing staff (55%); behavioral health (49%); and others (34%). About 43% of organizations had a formal referral process; among these, only 32% had follow-up protocols. Qualitative findings highlighted the broad spectrum of behavioral health services offered and a broad behavioral health workforce heavily reliant on peers. Unadjusted results from multivariate models found that harm reduction organizations were more than 5 times more likely (95% CI [1.91, 13.38]) to have a formal referral process and 6 times more likely (95% CI [1.74, 21.52]) to have follow-up processes when behavioral health services were offered. Organizations were more than two times more likely (95% CI [1.09, 4.46]) to have a formal referral process and 2.36 (95% CI [1.11, 5.0]) times more likely to have follow-up processes for referrals when behavioral health providers were included. CONCLUSIONS: The composition of the harm reduction workforce is occupationally diverse. Understanding the types of services offered, as well as the workforce who provides those services, offers valuable insights into staffing and service delivery needs of frontline organizations working to reduce morbidity and mortality among those who use substances. Workforce considerations within U.S.-based harm reduction organizations are increasingly important as harm reduction services continue to expand.

The social determinants of health, social work, and dental patients: a case study.

Oral health has been largely overlooked in conceptualizing health, and the workforce responsible for addressing the Social Determinants of Health (SDOH) within oral health settings has received little attention. While the role for social work in oral health has remained limited, there has been recent growth articulating its role in dental education. This paper presents a case study of how social work has been implemented into one school of dentistry in the U.S. to address SDOH and offers a roadmap for integration of social work into dental education, including opportunities for interprofessional health care experiences related to SDOH.

Social workers roles in achieving health quality metrics in primary care: a quality improvement case study.

Value-based payment models may improve patient health by targeting quality of care over quantity of health services. Social workers in primary care settings are well-positioned to improve the quality of health services for vulnerable patients by identifying and addressing patients' social determinants of health. This case study describes a Plan Do Study Act (PDSA) quality improvement approach implemented and refined by social workers to proactively address clinical quality gaps in one family medicine practice. The studied program - entitled Gap Closure Day - was led by a team of social workers to improve quality outcomes of patients. Findings highlight the important roles of social workers as members of health care teams to improve the quality of health services and address health equity.

Illness uncertainty and quality of life in patients with advanced cancer and their family caregivers: An actor-partner interdependence model analysis.

OBJECTIVE: The relationship between illness uncertainty and quality of life (QOL) has been examined for either the patient or caregiver, but not among the patient-caregiver dyads. This study examined relationships between illness uncertainty and QOL among patients with advanced cancer and family caregivers. METHODS: We conducted a secondary analysis of data from a randomized clinical trial that examined the effects of a dyadic-based intervention on psychological outcomes for patients with advanced cancer and family caregivers (N = 484 dyads). Illness uncertainty and QOL were measured using the shorten version of the Mishel Uncertainty in Illness Scale for Adult and the Functional Assessment of Cancer Therapy, respectively. The actor-partner interdependence model was used to examine whether an individual's uncertainty (either a patient's or caregiver's) was associated with their own QOL (i.e., an actor effect) and/or their partner's QOL (i.e., a partner effect). RESULTS: Significant actor effects included a negative association between patients' uncertainty and their own QOL (b = -0.422; p < 0.001) and a negative association between caregivers' uncertainty and their own QOL (b = -0.408; p < 0.001). In terms of partner effects, patients' uncertainty was negatively associated with caregivers' QOL (b = -0.095; p < 0.01). No partner effect was found for caregivers, suggesting that caregivers' uncertainty was not related to patients' QOL. CONCLUSIONS: Study findings support targeted interventions offered to both patients and their family caregivers to manage their illness uncertainty and improve their QOL.

Examining the use of psychiatric collaborative care and behavioral health integration codes at federally qualified health centers: A mixed-methods study.

INTRODUCTION: Despite evidence to support the integration of behavioral health and physical health care, the adoption of Integrated Behavioral Health (IBH) has been stymied by a lack of reliable and sustainable financing mechanisms. This study aimed to provide information on the use of Psychiatric Collaborative Care Model (CoCM) and behavioral health integration (BHI) codes and the implementation of IBH in federally qualified health centers (FQHCs). METHOD: This cross-sectional, mixed-methods study involved an electronic survey of administrators and follow-up qualitative interviews from a subset of survey respondents. Quantitative data were analyzed using descriptive analysis and thematic coding was used to analyze qualitative data to identify salient themes. RESULTS: Administrators (N = 52) from 11 states completed the survey. Use of CoCM (13%) or BHI codes (17.4%) was low. Most administrators were not aware that CoCM (72%) or BHI codes (70%) existed. Qualitative interviews (n = 9) described barriers that further complicate IBH and code use like workforce shortages and insufficient reimbursement for the cost to deliver CoCM services. DISCUSSION: Although FQHCs are working to meet the needs of the communities they serve, a lack of billing clarity and awareness and workforce issues hinder the adoption of the CoCM. FQHCs face many demands to provide care to safety net populations, yet are not fully equipped with the resources, workflows, staffing, and payment structures to support CoCM/BHI billing. Increased financial and logistical support to build practice infrastructure is needed to reduce the administrative complexity and inadequate reimbursement mechanisms that currently hinder the implementation of the CoCM and integrated care delivery. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Correlates of illness uncertainty in cancer survivors and family caregivers: a systematic review and meta-analysis.

PURPOSE: Illness uncertainty is widely recognized as a psychosocial stressor for cancer survivors and their family caregivers. This systematic review and meta-analysis aimed to identify the sociodemographic, physical, and psychosocial correlates that are associated with illness uncertainty in adult cancer survivors and their family caregivers. METHODS: Six scholarly databases were searched. Data synthesis was based on Mishel's Uncertainty in Illness Theory. Person's r was used as the effect size metric in the meta-analysis. Risk of bias was assessed using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. RESULTS: Of 1116 articles, 21 articles met the inclusion criteria. Of 21 reviewed studies, 18 focused on cancer survivors, one focused on family caregivers, and 2 included survivors and family caregivers. Findings identified distinct correlates for illness uncertainty in cancer survivors, including sociodemographic factors (e.g., age, gender, race), stimuli frame (e.g., symptom, family history of cancer), structure providers (e.g., education), coping, and adaptation. Notable effect sizes were observed in the correlations between illness uncertainty and social support, quality of life, depression, and anxiety. Caregivers' illness uncertainty was associated with their race, general health, perception of influence, social support, quality of life, and survivors' prostate-specific antigen levels. Insufficient data precluded examining effect size of correlates of illness uncertainty among family caregivers. CONCLUSION: This is the first systematic review and meta-analysis to summarize the literature on illness uncertainty among adult cancer survivors and family caregivers. Findings contribute to the growing literature on managing illness uncertainty among cancer survivors and family caregivers.

Federally Qualified Health Centers Use of Telehealth to Deliver Integrated Behavioral Health Care During COVID-19.

Federally qualified health centers (FQHCs) that provide comprehensive health services, including integrated behavioral health (IBH), transitioned to deliver care via telehealth during the COVID-19 pandemic. This study explored how FQHCs adapted IBH services using telehealth. A mixed-method design was used, pairing a survey disseminated to FQHC administrators with a structured interview. Of the 46 administrators who participated in the survey, 14 (30.4%) reported delivering IBH using telecommunication prior to the pandemic. Since COVID-19, almost all of the FQHCs surveyed used telecommunication to deliver IBH (n = 44, 95.7%). Nine interviews with FQHC administrators resulted in the four themes: telehealth was essential; core components of IBH were impacted; payment parity and reimbursement were a concern; and telehealth addressed workforce issues. Findings confirm the necessity of telehealth for FQHCs during COVID-19. However due to the lack of co-location, warm-handoffs and other core components of IBH were limited.

What Do EHRs Tell Us about How We Deploy Health Professionals to Address the Social Determinants of Health.

The objective of this study was to determine how well Electronic Health Record (EHR) documentation identifies which health professionals act to address patient social determinants of health (SDOH) and what interventions are documented. The Electronic Medical Record Search Engine was used to identify food and housing insecurity EHR notes. From the notes, researchers randomly sampled 60 from each SDOH category. Of 120 notes, which contained a reference to food or housing insecurity, 72% also contained information on an intervention taken. Interventions were documented by social workers 63% of the time, followed by dietitians and physicians. Addressing patient SDOH is a crucial part of comprehensive healthcare. Findings contribute to a broader conversation on the documentation and interventions in healthcare settings to address patients' SDOH. Findings support the critical importance of standardizing SDOH documentation in the EHR across more members of the health workforce to ensure patient needs are met.

Bearing a Disproportionate Burden: Racial/Ethnic Disparities in Experiences of U.S.-Based Social Workers during the COVID-19 Pandemic.

While social workers have served as frontline workers responding to the needs of vulnerable populations during COVID-19 pandemic, little is known about how social work professionals themselves have been impacted. This article explored the impact of COVID-19 on social work professionals' mental health, physical health, and access to personal protective equipment (PPE). This was a cross-sectional web-based survey of social workers practicing in the United States (N = 3,118); data on demographic and workplace characteristics, physical and mental health, and safety concerns were collected between June and August of 2020. Univariate statistics were used to characterize the sample. Ordinal logistic and multinomial regression were used to achieve the research aims. The majority of participants reported either moderate or severe concerns related to mental (55 percent) and physical (55 percent) health; 36 percent of respondents indicated concerns about PPE access. Respondents' concerns differed by demographic (e.g., race, age) and workplace characteristics (e.g., setting, role, region). Social workers of color are experiencing COVID-19-related concerns of significantly greater severity relative to their White counterparts. Findings highlight an immediate need to deepen understanding of the factors that contribute to these trends and identify mechanisms to support the frontline social work workforce most impacted.

Prevention, Health Promotion, and Social Work: Aligning Health and Human Service Systems Through a Workforce for Health.

The seminal Consensus Study by the National Academies of Science, Engineering, and Medicine released in September 2019 describes the benefits of integrating health and social care service delivery, underscoring the central role of social determinants of health (SDOH) in health outcomes. Although the report's focus on the integration of health and social care contributes a much needed perspective to the national discourse on SDOH and offers a useful framework for organizing service delivery activities, the omission of prevention and health promotion throughout the report is a substantial limitation.We call for increased attention to and investment in prevention and health promotion in the proposed 5As framework. We contend that effectively addressing SDOH and improving alignment between health and social systems require reconceptualization of the traditional health care workforce and renewed state and national advocacy efforts.A paradigm shift encompassing a broader "workforce for health" that is well trained in prevention, health promotion, and advocacy is critical to addressing SDOH, improving population health outcomes, and achieving health equity. Given their professional mission, training, expertise, and scope of practice, social workers are well positioned to lead this effort.

Welfare Participation in Childhood as a Predictor of Cigarette Use in Adulthood in the United States.

OBJECTIVE: Smoking is widely acknowledged as a high-risk behavior associated with poor physical health outcomes. We use Add Health Wave I and Wave IV data (N = 15,701) to explore whether childhood welfare participation predicts smoking behaviors in adulthood. METHOD: We conducted propensity score matching and dosage analysis of welfare participation to explore whether childhood welfare participation had different effects on smoking behaviors in adulthood. We used 3 approaches for dealing with the survey weight and propensity score weights for post-matching regression analyses. RESULTS: Adults who as children lived in families that participated in welfare programs were more likely to smoke when compared to young adults whose families did not participate in welfare programs. Being from a smoking household, having smoked before adulthood, having peer smokers, and race/ethnicity increased the risk for smoking. Protective factors associated with decreased smoking behaviors included being female, higher parental education, and being older. CONCLUSIONS: Risk related to cigarette use in adulthood varies based on welfare dosage in childhood. The development and implementation of interventions specific to subpopulations among welfare recipient families may make programs more effective.

Is North Carolina's Workforce Prepared for Team-Based Care?

Evaluating the capacity of the health workforce to adopt team-based health care delivery models, nationally or in North Carolina, requires a nuanced approach that explores educational and clinical environments, payment, health systems, and regulatory levers. This paper discusses workforce challenges to team-based care and how best to train, prepare, and retool an equipped health workforce to meet the needs of team-based care.

The Accountable Care Workforce: Bridging the Health Divide in North Carolina.

Accountable care communities form as health care entities partner with communities to more fully address population health. This partnership requires an adaptable, boundary spanning, and diverse workforce, as well as flexible regulatory and governing structures that adapt to changing payment models, task shifting, and new roles in health care.

The influence of childhood welfare participation on adulthood substance use: evidence from the National Longitudinal Study of Adolescent to Adult Health.

BACKGROUND: The associations between early life-socioeconomic status and health, specifically substance use, are well substantiated. The vulnerabilities associated with adversity in childhood, particularly poverty, can have a cumulative effect on an individual's risk and resilience throughout the life course. While several studies substantiate the relationship between substance use and welfare participation, less known is the impact of and prevalence of behavioral health problems later in life among young adults who were welfare recipients before age 18. OBJECTIVE: This article explores whether childhood welfare participation before the age of 18 years influences substance use until young adulthood (24-34 years). METHODS: This study used Add Health data with sample sizes ranging from 12,042 to 12,324 respondents, and propensity score matching methods to balance the samples and account for selection bias. Matched data were then used to run a series of regression models. RESULTS: Those who participated in welfare before the age of 18 years had a significant lower probability of remaining substance-free until young adulthood (marijuana-free by 30%, p < 0.001; and other illicit substances-free by 16%, p < 0.05). However, no significant between-group differences were found on any of the alcohol-related variables. CONCLUSIONS: Findings highlight long-term behavioral health risks, especially substance use, faced by young adults who participated in welfare before the age of 18 years. Acknowledging the vulnerabilities associated with welfare participation and living in poverty could help increase the effectiveness of program and treatment efforts. The prevention of long-term behavioral health disorders hinges on early diagnosis and intervention.