Screening for Unhealthy Alcohol Use Among Patients With Multiple Chronic Conditions in Primary Care.

Introduction: Unhealthy alcohol use increases the risk for and exacerbation of chronic health conditions. As such, screening, prevention, and management of unhealthy alcohol use is especially critical to improving health outcomes for patients with multiple chronic health conditions. It is unclear to what extent multiple chronic condition status is a barrier to screening for unhealthy alcohol use in the primary care setting. The authors hypothesized that patients with multiple chronic conditions would be at lower odds of being screened for unhealthy alcohol use than patients without multiple chronic conditions. Methods: The authors performed a secondary analysis of electronic health record data for patients from 67 primary care practices in Virginia (2020-2023). Using the Center for Medicare and Medicaid Services' chronic disease framework, they classified patients by multiple chronic condition status: no multiple chronic conditions, physical multiple chronic conditions, mental health multiple chronic conditions, and physical and mental health multiple chronic conditions. They used multiple logistic regressions with an added practice-level random effect to analyze the relationship between multiple chronic condition status and the odds of receiving an alcohol-related assessment, of being screened for unhealthy alcohol use with a U.S. Preventive Services Task Force-recommended instrument, and of screening positive for unhealthy alcohol use within the past 2 years. Results: Within a final cohort of n=11,789, a total of 6,796 patients (58%) had multiple chronic conditions (29% physical multiple chronic conditions, 4% mental health multiple chronic conditions, and 25% physical and mental health multiple chronic conditions). In all, 69% of patients were screened for unhealthy alcohol use, whereas 16% were screened with a U.S. Preventive Services Task Force-recommended instrument, and 7% screened positive for unhealthy alcohol use. Patients with physical and mental health multiple chronic conditions had 0.9 times lower odds of receiving any screening for unhealthy alcohol use than those with no multiple chronic conditions (95% CI=0.8, 1.0; p=0.0240), whereas patients with only physical multiple chronic conditions or only mental health multiple chronic conditions had similar odds. There was no difference in the odds of being screened with a U.S. Preventive Services Task Force-recommended instrument on the basis of multiple chronic condition status. Patients with mental health multiple chronic conditions and physical and mental health multiple chronic conditions had 1.8 and 1.5 times greater odds of screening positive for unhealthy alcohol use, respectively (95% CI=1.3, 2.7; p=0.0014 and 95% CI=1.2, 1.8; p=0.0003). Conclusions: Although patients with chronic mental health conditions were more likely to screen positive for unhealthy alcohol use than patients without multiple chronic conditions, Virginia primary care patients with physical and mental health multiple chronic conditions were less likely to receive an alcohol-related assessment during the past 2 years. Given the overall modest rate of screening with a U.S. Preventive Services Task Force-recommended instrument, further efforts are needed to create the conditions for high-quality alcohol-related preventive service delivery in primary care, particularly for patients with high complexity and/or mental health conditions.

Is there evidence to support probiotic use for healthy people?

Probiotics are typically marketed as foods and dietary supplements, categories for products intended to maintain health in generally healthy populations and which, unlike drugs, cannot claim to treat or cure disease. This review addresses the existing evidence that probiotics are beneficial to healthy people. Our approach was to perform a descriptive review of efficacy evidence that probiotics can prevent urinary, vaginal, gastrointestinal, and respiratory infections, and improve risk factors associated with cardiovascular health or reduce antibiotic use. Other endpoints such as mental, dental or immune health were not specifically addressed. We concluded that there is sufficient evidence of efficacy and safety for clinicians and consumers to consider using specific probiotics for some indications - such as use probiotics to support gut function during antibiotic use - for certain people. However, we did not find a high level of evidence to support recommendations for other endpoints we reviewed for healthy people. Although evidence for some indications is suggestive of preventive benefits of probiotics, additional research is needed.

Impact of response bias in three surveys on primary care providers' experiences with electronic health records.

OBJECTIVE: To identify impacts of different survey methodologies assessing primary care physicians' (PCPs') experiences with electronic health records (EHRs), we compared three surveys: the 2022 Continuous Certification Questionnaire (CCQ) from the American Board of Family Medicine, the 2022 University of California San Francisco (UCSF) Physician Health IT Survey, and the 2021 National Electronic Health Records Survey (NEHRS). MATERIALS AND METHODS: We evaluated differences between survey pairs using Rao-Scott corrected chi-square tests, which account for weighting. RESULTS: CCQ received 3991 responses from PCPs (100% response rate), UCSF received 1375 (3.6% response rate), and NEHRS received 858 (18.2% response rate). Substantial, statistically significant differences in demographics were detected across the surveys. CCQ respondents were younger and more likely to work in a health system; NEHRS respondents were more likely to work in private practice; and UCSF respondents disproportionately practiced in larger academic settings. Many EHR experience indicators were similar between CCQ and NEHRS, but CCQ respondents reported higher documentation burden. DISCUSSION: The UCSF approach is unlikely to supply reliable data. Significant demographic differences between CCQ and NEHRS raise response bias concerns, and while there were similarities in some reported EHR experiences, there were important, significant differences. CONCLUSION: Federal EHR policy monitoring and maintenance require reliable data. This test of existing and alternative sources suggest that diversified data sources are necessary to understand physicians' experiences with EHRs and interoperability. Comprehensive surveys administered by specialty boards have the potential to contribute to these efforts, since they are likely to be free of response bias.

Quality Gap in Long-Stay Antipsychotic Quality Measure Performance Widens Over the Pandemic, Reversing Past Gains.

The Centers for Medicare & Medicaid Services (CMS) grades nursing home performance in antipsychotic prescribing quarterly, publishing findings as a quality measure. While scores have improved since 2011, marked performance variation between facilities persists. To assess quality gap changes between best- and worst-performing deciles, we compared quarterly prescribing changes between these groups pre-pandemic (April 2011 to March 2020) and during the pandemic (April 2020 to March 2022). Antipsychotic quality measure scores, improving pre-pandemic, deteriorated during the pandemic. The pre-pandemic quality gap between the best- and worst-performing deciles narrowed as the worst-performing decile improved faster than the best-performing decile. During the pandemic, the quality gap widened as the worst-performing decile relapsed more than the best-performing decile (p < .0001). The pandemic disrupted quality performance gains and compounded disparities between facilities. A better understanding of the factors allowing high performers to weather pandemic stressors better than poor performers may reveal opportunities to improve nursing home quality and equity for all residents.

Well-Being Domains in U.S. Military Veterans: Identifying Modifiable Factors to Promote Whole Health.

The U.S. Department of Veterans Affairs is actively transitioning away from a disease-centric model of healthcare to one that prioritizes disease prevention and the promotion of overall health and well-being. Described as Whole Health, this initiative aims to provide personalized, values-centered care that optimizes physical, behavioral, spiritual, and socioeconomic well-being. To inform this initiative, we analyzed cross-sectional data from a nationally representative sample of primarily older U.S. military veterans to estimate levels of well-being across these domains, and identify sociodemographic, military, and potentially modifiable health and psychosocial correlates of them. Results revealed that, overall, veterans reported high domain-specific well-being (average scores ranging from 6.7 to 8.3 out of 10), with the highest levels in the socioeconomic domain and lowest in the physical domain. Several modifiable factors, including purpose in life, resilience, and social support, were strongly associated with the examined well-being domains. Interventions targeting these constructs may help promote well-being among U.S. veterans.

School Closure and Child Maltreatment During the COVID-19 Pandemic.

It is not known how school closure affected child maltreatment. We conducted a retrospective cohort, linear mixed-models study of 133 counties (comprising 8,582,479 children) in Virginia between 2018 and 2021. Exposure was the opening of schools at least 2 days a week. Outcomes were referrals and incidence of child maltreatment reported to the Department of Social Services. In 2020-2021, there were descriptively more referrals (in-person: 50.9 per 10,000 [95% CI: 47.9, 54.0]; virtual: 45.8 per 10,000 [95% CI: 40.7, 50.9]) and incidence (in-person: 3.7 per 10,000 [95% CI: 3.3, 4.2]; virtual: 2.9 per 10,000 [95% CI: 2.3, 3.5]) of child maltreatment in counties with in-person schooling, though these differences did not reach statistical significance. The referral rate variations (between pandemic and pre-pandemic eras) of counties with in-person schooling was significantly greater than rate changes in counties with virtual schooling during the summer period. There were no differences in incidence in any quarter. Higher poverty within a county was associated with both higher referrals and incidence. Our findings suggest that child maltreatment is driven primarily by underlying differences in counties (namely, poverty) rather than the type of schooling children receive.

The impact of the affordable care act and Medicaid expansion on colorectal cancer screening: Evidence from the 5th year of Medicaid expansion.

BACKGROUND: Colorectal cancer screening rates remain suboptimal, particularly among low-income populations. Our objective was to evaluate the long-term effects of Medicaid expansion on colorectal cancer screening. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study analyzed data from 354,384 individuals aged 50-64 with an income below 400% of the federal poverty level (FPL), who participated in the Behavioral Risk Factors Surveillance System from 2010 to 2018. A difference-in-difference analysis was employed to estimate the effect of Medicaid expansion on colorectal cancer screening. Subgroup analyses were conducted for individuals with income up to 138% of the FPL and those with income between 139% and 400% of the FPL. The effect of Medicaid expansion on colorectal cancer screening was examined during the early, mid, and late expansion periods. MAIN OUTCOMES AND MEASURES: The primary outcome was the likelihood of receiving colorectal cancer screening for low-income adults aged 50-64. RESULTS: Medicaid expansion was associated with a significant 1.7 percentage point increase in colorectal cancer screening rates among adults aged 50-64 with income below 400% of the FPL (p < 0.05). A significant 2.9 percentage point increase in colorectal cancer screening was observed for those with income up to 138% the FPL (p < 0.05), while a 1.5 percentage point increase occurred for individuals with income between 139% and 400% of the FPL. The impact of Medicaid expansion on colorectal cancer screening varied based on income levels and displayed a time lag for newly eligible beneficiaries. CONCLUSIONS: Medicaid expansion was found to be associated with increased colorectal cancer screening rates among low-income individuals aged 50-64. The observed variations in impact based on income levels and the time lag for newly eligible beneficiaries receiving colorectal cancer screening highlight the need for further research and precision public health strategies to maximize the benefits of Medicaid expansion on colorectal cancer screening rates.

The Role of Primary Care in the Social Isolation and Loneliness Epidemic.

The United States is facing a social isolation and loneliness crisis. In response, the US Surgeon General issued an advisory in May 2023 recommending actions that health care, community programs, and social services can take to collaboratively improve social connection. Primary care has a critical role to play in implementing the Surgeon General's recommendations. We present social isolation and loneliness as medical issues and highlight next steps for the primary care sector to combat this epidemic.Annals Early Access article.

Considering the Environmental Impact of Practice-Based Research.

INTRODUCTION: Practice-based research networks (PBRNs) improve primary care by addressing issues that matter to clinicians. Building trust between researchers and care teams is essential to this process, which often requires visiting practices to cultivate relationships and perform research activities. However, in a recent study using practice facilitation to improve the delivery of a preventive service, the COVID-19 pandemic prompted us to convert all planned facilitation from an in-person to virtual format. This eliminated the need to commute by automobile to and from practices across the state, greatly reducing the carbon footprint of the study. METHODS: From practice facilitator field notes that detailed practice locations and number of sessions, we calculated the total number of driving miles averted by virtual facilitation. We then determined metric tons of carbon dioxide we avoided producing using the Environmental Protection Agency Greenhouse Gases Equivalencies Calculator. During post-intervention interviews, we assessed practices' perspectives and experiences with the virtual format. RESULTS: Three practice facilitators provided an average of 3.4 sessions for 64 practices. Virtual facilitation averted 32,574.8 drive miles and prevented the release of 12.7 metric tons of carbon dioxide, an offset equivalent to growing 210 trees for 10 years. Practices reported that virtual facilitation fostered greater engagement and allowed more clinicians and staff to attend sessions. DISCUSSION: Climate change poses a significant threat to the health of people and communities. Given their commitment to improving population health, it may be time for PBRNs to routinely assess their environmental impact and minimize preventable environmental costs.

Increased Organizational Stress in Primary Care: Understanding the Impact of the COVID-19 Pandemic, Medicaid Expansion, and Practice Ownership.

BACKGROUND: Primary care is the foundation of health care, resulting in longer lives and improved equity. Primary care was the frontline of the COVID-19 pandemic public response and essential for access to care. Yet primary care faces substantial structural and systemic challenges. As part of a longitudinal analysis to track the capacity and health of primary care, we surveyed every primary care practice in Virginia in 2018 and again in 2022. METHODS: Surveys were emailed or mailed up to 6 times and nonresponders received a phone call. Questions assessed organizational characteristics, scope of care, capacity, and organizational stress in the prior year. From respondents, 39 clinicians, nurses, staff, administrators, and practice managers were interviewed. RESULTS: 526 out of 2296 primary care practices (23% response rate) completed the survey, with broad representation across geography, ownership, and payer mix. Compared with 2018, in 2022 there were increases in practices owned by health systems (25% vs 43%, P < .0001) and average percent of patients with Medicaid per practice (12% vs 22%, P < .0001). The percent of practices reporting any major stressor increased from 34% to 53% (P < .0001). The main increased stress was losing a clinician, with 13% of practices in 2018 versus 42% in 2022 reporting losing a clinician (P < .0001). CONCLUSIONS: Primary care practices are resilient and continue to serve their communities, including a broad scope of services and care for underserved people. However, the COVID-19 pandemic caused significant stress. With an increase in clinicians leaving clinical practice, we anticipate worsening access to primary care.

Neighborhood Predictors of Poor Prenatal Care and Well-Child Visit Attendance.

PURPOSE: Women and children continue to miss preventive visits. Which neighborhood factors predict inadequate prenatal care (PNC) and well-child visit (WCV) attendance remain unclear. DESCRIPTION: In a retrospective case-control study at Virginia Commonwealth University Health System, mothers with less than 50% adherence or initiation after 5 months gestation were eligible as cases and those with ≥ 80% adherence and initiation before 5 months were eligible as controls. Children in the lowest quintile of adherence were eligible as cases and those with ≥ 80% of adherence were eligible as controls. Cases and controls were randomly selected at a 1:2 ratio and matched on birth month. Covariates were derived from the 2018 American Community Survey. A hotspot was defined as a zip code tabulation area (ZCTA) with a proportion of controls less than 0.66. ZCTAs with fewer than 5 individuals were excluded. Weighted quantile regression was used to determine which covariates were most associated with inadequate attendance. ASSESSMENT: We identified 38 and 35 ZCTAs for the PNC and WCV analyses, respectively. Five of 11 hotspots for WCV were also hotspots for PNC. Education and income predicted 51% and 34% of the variation in missed PNCs, respectively; language, education and transportation difficulties explained 33%, 29%, and 17% of the variation in missed WCVs, respectively. Higher proportions of Black residents lived in hotspots of inadequate PCV and WCV attendance. CONCLUSION: Neighborhood-level factors performed well in predicting inadequate PCV and WCV attendance. The disproportionate impact impact of inadequate PCV and WCV in neighborhoods where higher proportions of Black people lived highlights the potential influence of systemic racism and segregation on healthcare utilization.

Access to Federally Qualified Health Centers and HIV Outcomes in the U.S. South.

INTRODUCTION: Federally Qualified Health Centers may increase access to HIV prevention, care, and treatment for at-risk populations. METHODS: A pooled cross section of ZIP Code Tabulation Areas from cites in the U.S. South with high HIV diagnoses were used to examine Federally Qualified Health Center density and indicators of HIV epidemic control. The explanatory variable was Federally Qualified Health Center density-number of Federally Qualified Health Centers in a ZIP Code Tabulation Areas' Primary Care Service Area per low-income population-high versus medium/low (2019). Outcomes were 5-year (2015-2019 or 2014-2018) (1) number of new HIV diagnoses, (2) percentage late diagnosis, (3) percentage linked to care, and (4) percentage virally suppressed, which was assessed over 1 year (2018 or 2019). Multiple linear regression was used to examine the relationship, including ZIP Code Tabulation Area-level sociodemographic and city-level HIV funding variables, with state-fixed effects, and data analysis was completed in 2022-2023. Sensitivity analyses included (1) examining ZIP Code Tabulation Areas with fewer non-Federally Qualified Health Center primary care providers, (2) controlling for county-level primary care provider density, (3) excluding the highest HIV prevalence ZIP Code Tabulation Areas, and (4) excluding Florida ZIP Code Tabulation Areas. RESULTS: High-density ZIP Code Tabulation Areas had a lower percentage of late diagnosis and virally suppressed, a higher percentage linked to care, and no differences in new HIV diagnoses (p<0.05). In adjusted analysis, high density was associated with a greater number of new diagnoses (number or percentage=5.65; 95% CI=2.81, 8.49), lower percentage of late diagnosis (-3.71%; 95% CI= -5.99, -1.42), higher percentage linked to care (2.13%; 95% CI=0.20, 4.06), and higher percentage virally suppressed (1.87%; 95% CI=0.53, 2.74) than medium/low density. CONCLUSIONS: Results suggest that access to Federally Qualified Health Centers may benefit community-level HIV epidemic indicators.

Well-Being of US Military Veterans.

This survey study analyzed data from a nationally representative sample of US veterans to examine ratings and correlates of well-being.

Rising Racial Disparities in Opioid Mortality and Undertreatment of Opioid Use Disorder and Mental Health Comorbidities in Virginia.

Introduction: There were more than 100,000 fatal drug overdoses in the U.S. in 2021 alone. In recent years, there has been a shift in opioid mortality from predominantly White rural communities to Black urban communities. This study aimed to identify the Virginia communities disproportionately affected by the overdose crisis and to better understand the systemic factors contributing to disparities in opioid mortality. Methods: Using the state all-payer claims database, state mortality records, and census data, we created a multivariate model to examine the community-level factors contributing to racial disparities in opioid mortality. We used generalized linear mixed models to examine the associations between socioecologic factors and fatal opioid overdoses, opioid use disorder diagnoses, opioid-related emergency department visits, and mental health diagnoses. Results: Between 2015 and 2020, racial disparities in mortality widened. In 2020, Black males were 1.5 times more likely to die of an opioid overdose than White males (47.3 vs 31.6 per 100,000; p<0.001). The rate of mental health disorders strongly correlated with mortality (ß=0.53, p<0.001). Black individuals are not more likely to be diagnosed with opioid use disorder (ß=0.01, p=0.002) or with mental health disorders (ß= -0.12, p<0.001), despite higher fatal opioid overdoses. Conclusions: There are widening racial disparities in opioid mortality. Untreated mental health disorders are a major risk factor for opioid mortality. Findings show pathways to address inequities, including early linkage to care for mental health and opioid use disorders. This analysis shows the use of comprehensive socioecologic data to identify the precursors to fatal overdoses, which could allow earlier intervention and reallocation of resources in high-risk communities.

Rethinking Health and Health Care: How Clinicians and Practice Groups Can Better Promote Whole Health and Well-Being for People and Communities.

A new National Academies of Sciences, Engineering, and Medicine report, "Achieving Whole Health: A New Approach for Veterans and the Nation," redefines what it means to be healthy and creates a roadmap for health systems, including the Veterans Health Administration and the nation, to scale and spread a whole health approach to care. The report identifies 5 foundational elements for whole health care and sets 6 national, state, and local policy goals for change. This article summarizes the report, emphasizes the importance of preventive medicine, and identifies concrete actions clinicians and practices can take now to deliver whole health care.

Use of population health data to promote equitable recruitment for a primary care practice implementation trial addressing unhealthy alcohol use.

Background: Recruiting underrepresented people and communities in research is essential for generalizable findings. Ensuring representative participants can be particularly challenging for practice-level dissemination and implementation trials. Novel use of real-world data about practices and the communities they serve could promote more equitable and inclusive recruitment. Methods: We used a comprehensive primary care clinician and practice database, the Virginia All-Payers Claims Database, and the HealthLandscape Virginia mapping tool with community-level socio-ecological information to prospectively inform practice recruitment for a study to help primary care better screen and counsel for unhealthy alcohol use. Throughout recruitment, we measured how similar study practices were to primary care on average, mapped where practices' patients lived, and iteratively adapted our recruitment strategies. Results: In response to practice and community data, we adapted our recruitment strategy three times; first leveraging relationships with residency graduates, then a health system and professional organization approach, followed by a community-targeted approach, and a concluding approach using all three approaches. We enrolled 76 practices whose patients live in 97.3% (1844 of 1907) of Virginia's census tracts. Our overall patient sample had similar demographics to the state for race (21.7% vs 20.0% Black), ethnicity (9.5% vs 10.2% Hispanic), insurance status (6.4% vs 8.0% uninsured), and education (26.0% vs 32.5% high school graduate or less). Each practice recruitment approach uniquely included different communities and patients. Discussion: Data about primary care practices and the communities they serve can prospectively inform research recruitment of practices to yield more representative and inclusive patient cohorts for participation.

Achieving Whole Health for Veterans and the Nation: A National Academies of Sciences, Engineering, and Medicine Report.

This Viewpoint discusses the Whole Health System of care led by the US Department of Veterans Affairs.

Putting Evidence Into Practice: An Update on the US Preventive Services Task Force Methods for Developing Recommendations for Preventive Services.

PURPOSE: The US Preventive Services Task Force (USPSTF) is an independent body that makes evidence-based recommendations regarding preventive services to improve health for people nationwide. Here, we summarize current USPSTF methods, describe how methods are evolving to address preventive health equity, and define evidence gaps for future research. METHODS: We summarize current USPSTF methods as well as ongoing methods development. RESULTS: The USPSTF prioritizes topics on the basis of disease burden, extent of new evidence, and whether the service can be provided in primary care and going forward will increasingly consider health equity. Analytic frameworks specify the key questions and linkages connecting the preventive service to health outcomes. Contextual questions provide information on natural history, current practice, health outcomes in high-risk groups, and health equity. The USPSTF assigns a level of certainty to the estimate of net benefit of a preventive service (high, moderate, or low). The magnitude of net benefit is also judged (substantial, moderate, small, or zero/negative). The USPSTF uses these assessments to assign a letter grade from A (recommend) to D (recommend against). I statements are issued when evidence is insufficient. CONCLUSIONS: The USPSTF will continue to evolve its methods for simulation modeling and to use evidence to address conditions for which there are limited data for population groups who bear a disproportionate burden of disease. Additional pilot work is underway to better understand the relations of the social constructs of race, ethnicity, and gender with health outcomes to inform the development of a USPSTF health equity framework.

Variation in Family Physicians' Experiences Across Different Electronic Health Record Platforms: a Descriptive Study.

BACKGROUND: Electronic health records (EHRs) have been connected to excessive workload and physician burnout. Little is known about variation in physician experience with different EHRs, however. OBJECTIVE: To analyze variation in reported usability and satisfaction across EHRs. DESIGN: Internet-based survey available between December 2021 and October 2022 integrated into American Board of Family Medicine (ABFM) certification process. PARTICIPANTS: ABFM-certified family physicians who use an EHR with at least 50 total responding physicians. MEASUREMENTS: Self-reported experience of EHR usability and satisfaction. KEY RESULTS: We analyzed the responses of 3358 physicians who used one of nine EHRs. Epic, athenahealth, and Practice Fusion were rated significantly higher across six measures of usability. Overall, between 10 and 30% reported being very satisfied with their EHR, and another 32 to 40% report being somewhat satisfied. Physicians who use athenahealth or Epic were most likely to be very satisfied, while physicians using Allscripts, Cerner, or Greenway were the least likely to be very satisfied. EHR-specific factors were the greatest overall influence on variation in satisfaction: they explained 48% of variation in the probability of being very satisfied with Epic, 46% with eClinical Works, 14% with athenahealth, and 49% with Cerner. CONCLUSIONS: Meaningful differences exist in physician-reported usability and overall satisfaction with EHRs, largely explained by EHR-specific factors. User-centric design and implementation, and robust ongoing evaluation are needed to reduce physician burden and ensure excellent experience with EHRs.