Treatment for Opioid Use Disorder: Population Estimates - United States, 2022.

In 2022, 81,806 opioid-involved overdose deaths were reported in the United States, more than in any previous year. Medications for opioid use disorder (OUD), particularly buprenorphine and methadone, substantially reduce overdose-related and overall mortality. However, only a small proportion of persons with OUD receive these medications. Data from the 2022 National Survey on Drug Use and Health were applied to a cascade of care framework to estimate and characterize U.S. adult populations who need OUD treatment, receive any OUD treatment, and receive medications for OUD. In 2022, 3.7% of U.S. adults aged ≥18 years needed OUD treatment. Among these, only 25.1% received medications for OUD. Most adults who needed OUD treatment either did not perceive that they needed it (42.7%) or received OUD treatment without medications for OUD (30.0%). Compared with non-Hispanic Black or African American and Hispanic or Latino adults, higher percentages of non-Hispanic White adults received any OUD treatment. Higher percentages of men and adults aged 35-49 years received medications for OUD than did women and younger or older adults. Expanded communication about the effectiveness of medications for OUD is needed. Increased efforts to engage persons with OUD in treatment that includes medications are essential. Clinicians and other treatment providers should offer or arrange evidence-based treatment, including medications, for patients with OUD. Pharmacists and payors can work to make these medications available without delays.

How well can U.S. military veterans' suicidal ideation be predicted from static and change-based indicators of their psychosocial well-being as they adapt to civilian life?

BACKGROUND: Identifying predictors of suicidal ideation (SI) is important to inform suicide prevention efforts, particularly among high-risk populations like military veterans. Although many studies have examined the contribution of psychopathology to veterans' SI, fewer studies have examined whether experiencing good psychosocial well-being with regard to multiple aspects of life can protect veterans from SI or evaluated whether SI risk prediction can be enhanced by considering change in life circumstances along with static factors. METHODS: The study drew from a longitudinal population-based sample of 7141 U.S. veterans assessed throughout the first three years after leaving military service. Machine learning methods (cross-validated random forests) were applied to examine the predictive utility of static and change-based well-being indicators to veterans' SI, as compared to psychopathology predictors. RESULTS: Although psychopathology models performed better, the full set of well-being predictors demonstrated acceptable discrimination in predicting new-onset SI and accounted for approximately two-thirds of cases of SI in the top strata (quintile) of predicted risk. Greater engagement in health promoting behavior and social well-being were most important in predicting reduced SI risk, with several change-based predictors of SI identified but stronger associations observed for static as compared to change-based indicator sets as a whole. CONCLUSIONS: Findings support the value of considering veterans' broader well-being in identifying individuals at risk for suicidal ideation and suggest the possibility that well-being promotion efforts may be useful in reducing suicide risk. Findings also highlight the need for additional attention to change-based predictors to better understand their potential value in identifying individuals at risk for SI.

Cigarette Smoking, Desire to Quit, and Tobacco-Related Counseling Among Patients at Adult Health Centers.

Objectives. We determined cigarette smoking prevalence, desire to quit, and tobacco-related counseling among a national sample of patients at health centers. Methods. Data came from the 2009 Health Center Patient Survey and the 2009 National Health Interview Survey. The analytic sample included 3949 adult patients at health centers and 27 731 US adults. Results. Thirty-one percent of health center patients were current smokers, compared with 21% of US adults in general. Among currently smoking health center patients, 83% desired to quit and 68% received tobacco counseling. In multivariable models, patients had higher adjusted odds of wanting to quit if they had indications of severe mental illness (adjusted odds ratio [AOR] = 3.26; 95% confidence interval [CI] = 1.19, 8.97) and lower odds if they had health insurance (AOR = 0.43; 95% CI = 0.22, 0.86). Patients had higher odds of receiving counseling if they had 2 or more chronic conditions (AOR = 2.05; 95% CI = 1.11, 3.78) and lower odds if they were Hispanic (AOR = 0.57; 95% CI = 0.34, 0.96). Conclusions. Cigarette smoking prevalence is substantially higher among patients at health centers than US adults in general. However, most smokers at health centers desire to quit. Continued efforts are warranted to reduce tobacco use in this vulnerable group.

Household Compositions and Substance Use among Young Adults in the U.S.

BACKGROUND: Adults aged 21-29 have the highest past-month prevalence of tobacco, alcohol, and illicit drug use in the U.S. Currently, young adults often delay traditional adulthood milestones (e.g., marriage and childbearing), which may impact their household composition and substance use. METHODS: We examined how the past-month prevalence of eight mutually exclusive substance use outcomes varied by household composition among young adults using the 2016-2019 National Surveys on Drug Use and Health (NSDUH) data. Bivariable and multivariable multinomial logistic regression analyses were applied. RESULTS: Among young adults residing with their children, the most common household composition was residing with children and a spouse/partner (16.6%, 95% CI = 16.5-16.8%). Among those residing without children, common household compositions included residing with parents (22.8%, 95% CI = 22.2-23.4%) and residing only with a spouse/partner (17.9%, 95% CI = 17.6-18.3%). Past-month prevalence of binge alcohol, tobacco, and illicit drug use varied by household composition. Residing only with children and a spouse/partner was associated with a low prevalence of most examined substance use patterns. Across household compositions, those residing solely with unrelated individuals had the highest adjusted prevalence of tobacco, drug, and binge alcohol use (13.8%, 95% CI = 12.5-15.1%). CONCLUSIONS: The prevalence of substance use patterns among U.S. young adults varies by household composition. Those residing solely with unrelated individuals had the highest prevalence of tobacco, binge alcohol, and drug use. The presence of a young adult's own children and a spouse/partner is associated with a lower prevalence of most examined substance use patterns. As household compositions continue to diversify, targeted substance use prevention/treatment strategies may be needed.

Adult obesity treatment and prevention: A trans-agency commentary on the research landscape, gaps, and future opportunities.

Given the high and growing prevalence of obesity among adults in the United States, obesity treatment and prevention are important topics in biomedical and public health research. Although researchers recognize the significance of this problem, much remains unknown about safe and effective prevention and treatment of obesity in adults. In response to the worsening obesity epidemic and the many unknowns regarding the disease, a group of key scientific and program staff members of the National Institutes of Health (NIH) and other federal and non-government agencies gathered virtually in September 2021 to discuss the current state of obesity research, research gaps, and opportunities for future research in adult obesity prevention and treatment. The current article synthesizes presentations given by attendees and shares their organizations' current initiatives and identified gaps and opportunities. By integrating the information discussed in the meeting and current initiatives, we identify potential targets and overlapping priorities for future research, including health equity and disparities in obesity, the heterogeneity of obesity, and the use of technological and innovative approaches in interventions.

Primary care and public health activities in select US health centers: documenting successes, barriers, and lessons learned.

OBJECTIVES: We examined primary care and public health activities among federally funded health centers, to better understand their successes, the barriers encountered, and the lessons learned. METHODS: We used qualitative and quantitative methods to collect data from 9 health centers, stratified by administrative division, urban-rural location, and race/ethnicity of patients served. Descriptive data on patient and institutional characteristics came from the Uniform Data System, which collects data from all health centers annually. We administered questionnaires and conducted phone interviews with key informants. RESULTS: Health centers performed well on primary care coordination and community orientation scales and reported conducting many essential public health activities. We identified specific needs for integrating primary care and public health: (1) more funding for collaborations and for addressing the social determinants of health, (2) strong leadership to champion collaborations, (3) trust building among partners, with shared missions and clear expectations of responsibilities, and (4) alignment and standardization of data collection, analysis, and exchange. CONCLUSIONS: Lessons learned from health centers should inform strategies to better integrate public health with primary care.

Measuring and improving the quality of mental health care: a global perspective.

Mental disorders are common worldwide, yet the quality of care for these disorders has not increased to the same extent as that for physical conditions. In this paper, we present a framework for promoting quality measurement as a tool for improving quality of mental health care. We identify key barriers to this effort, including lack of standardized information technology-based data sources, limited scientific evidence for mental health quality measures, lack of provider training and support, and cultural barriers to integrating mental health care within general health environments. We describe several innovations that are underway worldwide which can mitigate these barriers. Based on these experiences, we offer several recommendations for improving quality of mental health care. Health care payers and providers will need a portfolio of validated measures of patient-centered outcomes across a spectrum of conditions. Common data elements will have to be developed and embedded within existing electronic health records and other information technology tools. Mental health outcomes will need to be assessed more routinely, and measurement-based care should become part of the overall culture of the mental health care system. Health care systems will need a valid way to stratify quality measures, in order to address potential gaps among subpopulations and identify groups in most need of quality improvement. Much more attention should be devoted to workforce training in and capacity for quality improvement. The field of mental health quality improvement is a team sport, requiring coordination across different providers, involvement of consumer advocates, and leveraging of resources and incentives from health care payers and systems.

Diffusion of effective HIV prevention interventions--lessons from Maryland and Massachusetts.

This article describes, compares, and contrasts the contexts, processes, and results of the experiences of Maryland and Massachusetts in diffusing evidence-based interventions. The evolution of first Maryland's, then Massachusetts's, diffusion of effective interventions is described. Both states have extensive experience planning, developing and evaluating individual-, group-, and community-level interventions promoted in the Centers for Disease Control and Prevention's Diffusion of Effective Behavioral Interventions (DEBI) initiative, as well as overcoming many barriers to translate research to practice. This article describes the processes whereby effective interventions were diffused from the planning to evaluation stages. This includes the role of community-planning groups and other local stakeholders in planning, procurement methods, and capacity building approaches. Specific milestones in increasing the evidence basis of program implementation, management, and evaluation are presented. For jurisdictions considering implementing DEBI, the article illustrates core programmatic and infrastructure capacities at the state and vendor level important to success in Maryland and Massachusetts. It also describes how each state's approach to the management and evaluation of prevention programs contributed to the effective diffusion of the behavioral interventions. Finally, this article provides recommendations about remaining gaps in evidence-based interventions to meet "real-world prevention needs" and ways to improve prevention targeting and effectiveness. This article recommends strategies to improve the dissemination of DEBI and other evidence-based interventions nationally.

HIV prevention with jail and prison inmates: Maryland's Prevention Case Management program.

Prevalence of HIV infection and AIDS cases is higher among inmates of correctional facilities than among the general population, especially for female inmates. This creates a strong need for effective HIV prevention with this population. Maryland's Prevention Case Management (PCM) program provides individual or group counseling to inmates nearing release to promote changes in risk behavior. Pretest and posttest surveys assess changes in perceived risk, condom attitudes, condom use self-efficacy, self-efficacy to reduce injection drug risk and other substance use risk, and behavioral intentions during participation in the program. Client contact logs, kept by counselors, document the number and duration of sessions, and the specific modules, completed by participants. Over a 4-year period, PCM records identified 2,610 participants in the program. Pre-intervention and postintervention data were available for 745 participants, with client contact log records available for 529 (71%) of these individuals. Significant, positive changes were found in self-reported condom attitudes, self-efficacy for condom use, self-efficacy for injection drug use risk, self-efficacy for other substance use risk, and intentions to practice safer sex post-release. Inmate populations are a crucial audience for HIV/AIDS testing, treatment, and prevention efforts. The Maryland PCM program has documented positive changes in participants' attitudes, self-efficacy, and intentions related to HIV risk, over a 4-year period.

Substance use, risk of dependence, counseling and treatment among adult health center patients.

Health centers provide primary care to 20 million underserved patients. We examined the prevalence of substance use and risk of dependence among health center patients, and identified factors associated with desire for counseling/treatment and discussions about substance use with a doctor. National data on 3,949 adults came from the 2009 Health Center Patient Survey. Forty percent of patients reported past-year binge drinking, 14% of patients had used any drug in the past three months, and 13% of these recent users were at high risk of dependence. Eighty-four percent of patients who desired substance use counseling or treatment reported receiving it. Several factors were associated with patients discussing substance use with their doctors (e.g., younger age, being male, severe mental illness, current smoking). Patients most likely to desire substance use counseling or treatment were male, unmarried, insured, current smokers, and indicated mental health problems.

Overweight/obesity and weight-related treatment among patients in U.S. federally supported health centers.

BACKGROUND: We obtained the prevalence of overweight/obesity, weight-loss attempts, and weight-related counseling and treatment among U.S. adults who sought care in federally funded community health centers. We investigated whether racial/ethnic and gender disparities existed for these measures. METHODS: Data came from the 2009 Health Center Patient Survey. Measures included body mass index (BMI), self-perceived weight, weight-loss attempts, being told of a weight problem, receipt of weight-related counseling, nutritionist referrals, weight-loss prescriptions, and cholesterol checks. We conducted bivariate analyses to determine distributions by race/ethnicity and gender, then ran logistic regressions to examine the effects of several sociodemographic factors on weight-loss attempts and on being told of a weight problem. RESULTS: Overall, 76% of adult patients seen in health centers were overweight or obese (BMI ≥ 25.0 kg/m(2)); 55% of overweight patients, and 87% of obese patients correctly perceived themselves as overweight. There were no racial/ethnic differences in BMI categories or self-perceptions of weight. Females were more likely than males to be obese and also more likely to perceive themselves as overweight. About 60% of overweight/obese patients reported trying to lose weight in the past year. There were no racial/ethnic disparities favoring non-Hispanic White patients in weight-related treatment. Women were more likely than men to receive referrals to a nutritionist or weight-loss prescriptions. Overweight/obese patients had higher adjusted odds of a past-year weight-loss attempt if they perceived themselves as overweight (OR = 3.30, p < 0.0001), were female (OR = 1.95, p < 0.05), African American (OR = 3.34, p < 0.05), or Hispanic/Latino (OR = 2.14, p < 0.05). Overweight/obese patients had higher odds of being told they had a weight problem if they were Hispanic/Latino (OR = 2.56, p < 0.05) or if they had two or more chronic conditions (OR = 2.77, p < 0.01). CONCLUSIONS: Patients seen in community health centers have high rates of overweight and obesity, even higher than the general U.S. population. Efforts to address weight problems during primary care visits are needed to reduce the burden of obesity and its sequellae among health center patients.

Primary care and public health activities in select U.S. health centers: documenting successes, barriers, and lessons learned.

PURPOSE: The goal of the current study was to examine primary care and public health activities among federally funded health centers, to better understand their successes, barriers encountered, and lessons learned. METHODS: Qualitative and quantitative methods were used to collect data from nine health centers, stratified by administrative division, urban-rural location, and race/ethnicity of patients served. Descriptive data on patient and institutional characteristics came from the Uniform Data System, which collects data from all health centers annually. Questionnaires were administered and phone interviews were conducted with key informants. RESULTS: Health centers performed well on primary care coordination and community orientation scales and reported conducting many essential public health activities. Specific needs were identified for integrating primary care and public health: (1) more funding for collaborations and for addressing the social determinants of health, (2) strong leadership to champion collaborations, (3) trust-building among partners, with shared missions and clear expectations of responsibilities, and (4) alignment and standardization of data collection, analysis, and exchange. CONCLUSIONS: Lessons learned from health centers should inform strategies to better integrate public health with primary care.