Social network strategy (SNS) for HIV testing: a new approach for identifying individuals with undiagnosed HIV infection in Tanzania.

Social network strategy (SNS) testing uses network connections to refer individuals at high risk to HIV testing services (HTS). In Tanzania, SNS testing is offered in communities and health facilities. In communities, SNS testing targets key and vulnerable populations (KVP), while in health facilities it complements index testing by reaching unelicited index contacts. Routine data were used to assess performance and trends over time in PEPFAR-supported sites between October 2021 and March 2023. Key indicators included SNS social contacts tested, and new HIV-positives individuals identified. Descriptive and statistical analysis were conducted. Univariable and multivariable analysis were applied, and variables with P-values <0.2 at univariable analysis were considered for multivariable analysis. Overall, 121,739 SNS contacts were tested, and 7731 (6.4%) previously undiagnosed individuals living with HIV were identified. Tested contacts and identified HIV-positives were mostly aged ≥15 years (>99.7%) and females (80.6% of tests, 79.4% of HIV-positives). Most SNS contacts were tested (78,363; 64.7%) and diagnosed (6376; 82.5%) in communities. SNS tests and HIV-positives grew 11.5 and 6.1-fold respectively, from October-December 2021 to January-March 2023, with majority of clients reached in communities vs. facilities (78,763 vs. 42,976). These results indicate that SNS testing is a promising HIV case-finding approach in Tanzania.

How Are Patients Who Legally Use Medical Marijuana Treated When Hospitalized?

The majority of U.S. states have legalized marijuana for medical use and some states have legalized marijuana for recreational use; yet, marijuana remains illegal federally. Given the misalignment between state and federal policies, this paper seeks to explore how hospitals handle inpatients' medical marijuana use in states where medical marijuana is legal. To examine this phenomenon, we conducted an anonymous, online, cross-sectional survey of nurse leaders working in acute care inpatient settings in states that had legalized medical marijuana. Using descriptive statistics, we report on these nurse leaders' experiences. There were 811 survey responses-291 who worked in an acute care inpatient setting in a state that had legalized medical marijuana. Among those respondents, only a small percentage reported that inpatients had some access to their medical marijuana: 5.8% reported that the drug was kept in the pharmacy and dispensed like other prescriptions; another 3.4% indicated that patients kept the medical marijuana in their rooms and took it, as needed. Most respondents (55.6%) reported that patients were switched to an alternative medication during their inpatient hospital stays. Almost half (49.4%) of the nurse leaders who reported that alternative medications were used, reported that opioids were substituted, and the majority reported that the marijuana was safer than the opioids. These findings are concerning given the increase in opioid overdose deaths.

Is Adversity in Childhood Linked to Marijuana Use in Adulthood?: Findings from the Behavioral Risk Factor Surveillance System.

Background: Adverse childhood experiences (ACEs) are potentially traumatic events, which can have long-term, negative consequences. Few studies have examined ACEs' relationship to marijuana use. Objectives: We examined the association between ACEs and past-month marijuana use among adults and the pathways between childhood adversity and marijuana use. Methods: Adults from five states (n = 22,991) who responded to the 2019 Behavioral Risk Factors Surveillance System were included. We examined the prevalence of ACEs and marijuana use. We employed generalized structural equation modeling to assess the relationship between ACEs and marijuana use and the role of depression and poor mental and physical health as possible mediators. Results: Overall, 65.0% of the population reported 1+ ACE. Heavy marijuana use and past-month marijuana use prevalence rates were 10.3% and 5.0%, respectively. We found mediation effects for depression and poor mental health but not poor physical health. The number of ACEs was associated with a statistically significant increase in any past-month marijuana use-indirect effects ranged from 1.0 (95% CI, 1.0-1.0) to 1.4 (95% CI, 1.2-1.7), direct effects ranged from 1.1 (95% CI, 07-1.7) to 5.3 (95% CI 3.2-8.8), and total effects ranged from 1.1 (95% CI, 0.7-1.7) to 5.9 (95% CI, 3.6-9.8). Women, married persons, and middle aged and older adults had a lower odds of marijuana use. Reporting at least one HIV risk behavior was associated with an increased odds of marijuana use. Conclusion: ACE exposure was positively associated with marijuana use. Depression and poor mental health separately mediated this relationship.

Reimagining drug manufacturing paradigm in today's pharmacy landscape.

The coronavirus disease 2019 pandemic has escalated the ongoing problem of critical medication shortages, which has serious implications for the health of our patients. Currently, active pharmaceutical ingredients (APIs) are synthesized in large-scale batch operations and shipped to drug product manufacturers, where they are produced on a large scale at centralized facilities. In the centralized drug manufacturing process, the formulation components, operations, and packaging are structured to favor long-term storage and shipment of resultant medicines to the point of care, making this process vulnerable to supply chain disruptions. We propose a rethinking of the drug manufacturing paradigm with an upgraded pharmaceutical compounding-based manufacturing paradigm. This paradigm will be based on integration of continuous manufacturing of APIs and manufacturing of medicines at the point of care with application of machine learning, artificial intelligence, and 3-dimensional printing. This paradigm will support implementation of precision medicine and customization according to patients' needs. The new model of drug manufacturing will be less dependent on the supply chain while ensuring availability of medicines in a cost-effective manner.

Workers at long-term care facilities and their risk for severe COVID-19 illness.

Given the high concentration of COVID-19 cases in long-term care (LTC) facilities in the United States, individuals working in these facilities are at heightened risk of SARS-CoV-2 exposure. Using data from the nationally-representative 2017 and 2018 National Health Interview Surveys on adults who reported working in LTC facilities, this study examines the extent to which LTC workers are also at increased risk or potentially at increased risk for severe illness from COVID-19 including hospitalization, intubation, or death. We used the Centers for Disease Control and Prevention's list of conditions placing individuals in these risk categories to the extent possible. We also examined the sociodemographic characteristics of LTC workers by occupation and COVID-19 illness severity risk status. One percent (552 out of 52,159) of the weighted NHIS sample worked in LTC facilities. Workers in LTC facilities were disproportionately Black, female, and low income. Half of LTC workers (50%) were at increased risk of severe illness from COVID-19 and another 19.6% were potentially at increased risk. There were few significant differences in demographic characteristics between risk groups, though those at increased risk had lower educational attainment and recent trouble affording prescription medications. Despite the high degree of vulnerability of both LTC residents and workers to severe illness from COVID-19, many LTC facilities still have inadequate supplies of personal protective equipment and COVID-19 tests. Given that state budget deficits due to the COVID-19 pandemic limit the potential for state actions, enhanced federal efforts are needed to protect LTC residents and staff from COVID-19.

Is Anemia in Low Income Pregnant Women Related to Their Infants' Having Anemia? A Cohort Study of Pregnant Women-Infant Pairs in the United States.

OBJECTIVE: Given evidence that anemia in the first year of life is associated with long-term cognitive, motor, and behavioral deficits, reducing infant anemia is important. The primary objective of this research is to examine whether anemia in low income pregnant women in the United States is associated with anemia in the women's infants. METHODS: This cohort study linked Centers for Disease Control and Prevention surveillance data on pregnant women with incomes below 185% of the federal poverty level from 2010 and 2011 with data on 6-11 month olds from 2011, resulting in a sample of 21,246 uniquely matched mother-infant pairs. We examined bivariate and multivariate relationship between anemia severity in pregnant women and in their infants. RESULTS: Seventeen percent of women had anemia (13.1% mild and 3.9% moderate to severe) and 20.1% infants had anemia (16.4% mild and 3.7% moderate to severe). For both women and infants, blacks had substantially higher anemia rates than whites. In bivariate analysis and multivariate analyses maternal anemia showed a dose-response relationship to infant anemia. In predicted probabilities from the multivariate models, 27.2% of infants born to pregnant women with moderate to severe anemia had anemia, compared to 23.3% for infants whose mothers had mild anemia, and 18.3% for infants whose mothers did not have anemia. CONCLUSION: This study provides strong evidence of a relationship between maternal and infant anemia in the United States among people with low incomes. Efforts to reduce anemia during pregnancy may be an important strategy for minimizing childhood anemia.

Policies Affecting Medicaid Beneficiaries' Smoking Cessation Behaviors.

Introduction: Smoking rates for Medicaid beneficiaries have remained flat in recent years. Medicaid may support smokers in quitting by covering a broad array of tobacco cessation services without barriers such as copays. This study examines the impact of increasing generosity in Medicaid tobacco cessation coverage policies on smoking and cessation behaviors. Methods: We used 2010 and 2015 National Health Interview Survey data merged with information on state tobacco, Medicaid cessation, and Medicaid eligibility policies to estimate state fixed effects models of cessation medication use, counseling use, quit attempts, and current smoking. Results: Smokers living in states that cover cessation medications but not counseling services were less likely to use counseling. Smokers were more likely to report having tried to quit in states with higher rates of use of cessation medications among Medicaid beneficiaries. We found no impact of Medicaid policies on use of cessation medications. States that impose copays had higher rates of smoking, while those that require counseling as a condition of receiving medication had lower rates of smoking. Additionally, we found that expanding Medicaid eligibility under the Affordable Care Act is associated with decreased smoking prevalence among Medicaid beneficiaries. Conclusion: Covering cessation counseling may encourage smokers that want to quit to use this service. Promoting the use of cessation medications may improve the likelihood that smokers try to quit. Medicaid coverage of cessation services is an important but incomplete strategy in addressing smoking among low-income populations. Implications: States may be able to improve utilization of cessation counseling by providing Medicaid reimbursement for this service. Encouraging utilization of tobacco cessation medications may help more smokers quit. States should consider how to promote effective cessation methods among clinicians and patients.

How Patient Partners Influence Quality Improvement Efforts.

BACKGROUND: There is growing acknowledgement that patients are key stakeholders in improving quality of medical care, yet a key barrier to integrating patients into quality improvement teams (QITs) as patient partners is the lack of evidence of their impact. This mixed-method study was conducted to identify the ways patient partners influence QITs and to document the extent of patient partners' impact. METHODS: Focus groups and in-depth interviews were conducted with 17 patient partners and 11 staff at WellSpan Health and Aligning Forces for Quality-South Central Pennsylvania to identify the specific mechanisms through which patients influenced QIT efforts. Online surveys of 47 patient partners and 56 QIT leaders were conducted in summer 2016 to test the ways in which patient partners affected quality improvement (QI) and gauge respondents' perceptions of the impact of patient partners' contributions. RESULTS: Patient partners influenced QI through three key mechanisms: symbolism, providing feedback (on written material for patients and new policies), and making suggestions (on office communication, educational materials, physical space, and clinical care processes). Almost three quarters of the patient partners believed they had a moderate to very large impact on their QIT's QI efforts. Eight of the 10 QIT leaders reported that patient partners improved patient-centeredness of QI a "moderate amount" to a "great deal" through one of the three key mechanisms. CONCLUSION: Integrating patient partners into ambulatory care QITs was a largely positive experience for patient partners, QIT leaders, and administrators. The changes that patient partners prompted were meaningful and likely improved patients' experience with care.

Does the Race/Ethnicity or Gender of a Physician's Name Impact Patient Selection of the Physician?

This study's objective was to examine the extent to which individuals exhibit a preference for physicians based upon the race/ethnicity and gender of a physician's name. We conducted an online survey of 915 adults, who viewed a comparative display of four physicians' quality performance. We randomized the name of one physician, whose quality performance was equal to that of one physician and better than two other physicians, to be either typically African American male, African American female, white male, white female, or Middle Eastern (gender ambiguous). In regression models, participants more frequently selected the physician with the randomized name when displayed with a white male name, compared to when presented with an African American male, African American female, or Middle Eastern name (ORs ranging from .59 to .64). White and male study participants exhibited this pattern, while racial/ethnic minority participants did not. If the hypothetical choice bias observed here translates to people's actual selection of physicians, it could be a contributing factor for why women and racial/ethnic minority physicians have lower incomes than white male physicians.

An examination of socioeconomic equity in health experiences in six Latin American and Caribbean countries.

OBJECTIVE: Most Latin American and Caribbean (LAC) countries are working toward the provision of universal health coverage, and ensuring equity is a priority for those nations. The goal of this study was to examine the extent to which adults' socioeconomic status was related to health care experience in six LAC countries. METHODS: This cross-sectional study examined the relationship between educational attainment and seven health experience outcomes in three areas: assessment of the health system, access to care, and experience with general practitioner. For this work, we used data from an Inter-American Development Bank survey of adults in Brazil, Colombia, El Salvador, Jamaica, Mexico, and Panama that was conducted in 2012-2014. RESULTS: Brazil and Jamaica, the two countries with unified public coverage, stood out for having substantially greater inequality, according to the results of bivariate analyses, with more-educated respondents reporting better health care experiences for five of the seven outcomes. For Jamaica, educational differences largely remained in multivariate analyses: college graduates were less likely (odds ratio (OR) = 0.37) than those with primary education to report their health system needs major reform and were more likely (OR = 2.57) to have a regular doctor. In Brazil, educational differences were mostly eliminated in multivariate models, though people with private insurance consistently reported better outcomes than those with public coverage. Colombia, in contrast, exhibited the least inequality despite having the highest income inequality of the six countries. CONCLUSIONS: Future research is needed to understand the policies and strategies that have resulted in Colombia achieving high levels of equity in patient health care experience, and Jamaica and Brazil demonstrating high levels of inequality.

The Rise and Fall in Out-of-Pocket Costs in Australia: An Analysis of the Strengthening Medicare Reforms.

After a period of steady decline, out-of-pocket (OOP) costs for general practitioner (GP) consultations in Australia began increasing in the mid-1990s. Following the rising community concerns about the increasing costs, the Australian Government introduced the Strengthening Medicare reforms in 2004 and 2005, which included a targeted incentive for GPs to charge zero OOP costs for consultations provided to children and concession cardholders (older adults and the poor), as well as an increase in the reimbursement for all GP visits. This paper examines the impact of those reforms using longitudinal survey and administrative data from a large national sample of women. The findings suggest that the reforms were effective in reducing OOP costs by an average of $A0.40 per visit. Decreases in OOP costs, however, were not evenly distributed. Those with higher pre-reform OOP costs had the biggest reductions in OOP costs, as did those with concession cards. However, results also reveal increases in OOP costs for most people without a concession card. The analysis suggests that there has been considerable heterogeneity in GP responses to the reforms, which has led to substantial changes in the fees charged by doctors and, as a result, the OOP costs incurred by different population groups. Copyright © 2016 John Wiley & Sons, Ltd.

Supporting Patient Behavior Change: Approaches Used by Primary Care Clinicians Whose Patients Have an Increase in Activation Levels.

PURPOSE: We aimed to identify the strategies used to support patient behavior change by clinicians whose patients had an increase in patient activation. METHODS: This mixed methods study was conducted in collaboration with Fairview Health Services, a Pioneer Accountable Care Organization. We aggregated data on the change in patient activation measure (PAM) score for 7,144 patients to the primary care clinician level. We conducted in-depth interviews with 10 clinicians whose patients' score increases were among the highest and 10 whose patients' score changes were among the lowest. Transcripts of the interviews were analyzed to identify key strategies that differentiated the clinicians whose patients had top PAM change scores. RESULTS: Clinicians whose patients had relatively large activation increases reported using 5 key strategies to support patient behavior change (mean = 3.9 strategies): emphasizing patient ownership; partnering with patients; identifying small steps; scheduling frequent follow-up visits to cheer successes, problem solve, or both; and showing caring and concern for patients. Clinicians whose patients had lesser change in activation were far less likely to describe using these approaches (mean = 1.3 strategies). Most clinicians, regardless of group, reported developing their own approach to support patient behavior change. Those whose patients showed high activation change reported spending more time with patients on counseling and education than did those whose patients showed less improvement in activation. CONCLUSIONS: Clinicians vary in the strategies they use to promote behavior change and in the time spent with patients on such activities. The 5 key strategies used by clinicians with high patient activation change are promising approaches to supporting patient behavior change that should be tested in a larger sample of clinicians to validate their effectiveness.

The role of primary care providers in patient activation and engagement in self-management: a cross-sectional analysis.

BACKGROUND: The increasing burden of chronic illness highlights the importance of self-care and shifts from hierarchical and patriarchal models to partnerships. Primary care providers (PCPs) play an important role in supporting patients in self-management, enabling activation and supporting chronic care. We explored the extent to which PCPs' beliefs about the importance of the patients' role relate to the frequency in which they report engaging in collaborative and partnership-building behaviors with patients. METHODS: PCPs' beliefs were measured using the Clinician Support for Patient Activation Measure (CS-PAM). We also assessed whether PCPs' CS-PAM scores were positively associated with changes in their patients' Patient Activation Measure (PAM) scores. Participants included 181 PCPs from a single accountable care organization in Minnesota who completed an online survey. We conducted bivariate analyses and multivariate regression models to examine relationships between CS-PAM and PCP self-management support behaviors and changes in level of patient activation. RESULTS: PCPs with high CS-PAM scores were much more likely to engage in supportive self-management and patient behavior change approaches, such as involving the patient in agenda-setting, problem-solving, and collaboratively setting behavioral goals, than were PCPs with low CS-PAM scores. More positive PCPs' belief in the patients' role in self-management was positively correlated with improvements in their patients' level of patient activation. CONCLUSIONS: More positive PCP beliefs about the patients' role in self-management was strongly related to PCP behaviors geared towards increasing patient activation.

Working under a clinic-level quality incentive: primary care clinicians' perceptions.

BACKGROUND: A key consideration in designing pay-for-performance programs is determining what entity the incentive should be awarded to-individual clinicians or to groups of clinicians working in teams. Some argue that team-level incentives, in which clinicians who are part of a team receive the same incentive based on the team's performance, are most effective; others argue for the efficacy of clinician-level incentives. This study examines primary care clinicians' perceptions of a team-based quality incentive awarded at the clinic level. METHODS: This research was conducted with Fairview Health Services, where 40% of the primary care compensation model was based on clinic-level quality performance. We conducted 48 in-depth interviews to explore clinicians' perceptions of the clinic-level incentive, as well as an online survey of 150 clinicians (response rate 56%) to investigate which entity the clinicians would consider optimal to target for quality incentives. RESULTS: Clinicians reported the strengths of the clinic-based quality incentive were quality improvement for the team and less patient "dumping," or shifting patients with poor outcomes to other clinicians. The weaknesses were clinicians' lack of control and colleagues riding the coattails of higher performers. There were mixed reports on the model's impact on team dynamics. Although clinicians reported greater interaction with colleagues, some described an increase in tension. Most clinicians surveyed (73%) believed that there should be a mix of clinic and individual-level incentives to maintain collaboration and recognize individual performance. CONCLUSION: The study highlights the important advantages and disadvantages of using incentives based upon clinic-level performance. Future research should test whether hybrid incentives that mix group and individual incentives can maintain some of the best elements of each design while mitigating the negative impacts.

Mental health care among low-income pregnant women with depressive symptoms: facilitators and barriers to care access and the effectiveness of financial incentives for increasing care.

Access to mental health care is suboptimal for low-income pregnant women. Using in-depth interviews, we examined barriers and facilitators to accessing care among 42 low income pregnant women with depressive symptoms. To pilot whether financial incentives would increase utilization during pregnancy, half the women were randomized to receive $10 gift cards after mental health visits. Women reported external and internal barriers to accessing mental health care, and internal and interpersonal facilitators. Financial incentives did not impact how often the women visited mental health providers, suggesting that small incentives are not sufficient to catalyze mental health care use for this population.

The impact of an incentive on the use of an online self-directed wellness and self-management program.

BACKGROUND: Those who pay for health care are increasingly looking for strategies to influence individuals to take a more active role in managing their health. Incenting health plan members and/or employees to participate in wellness programs is a widely used approach. OBJECTIVE: In this study, we examine financial incentives to health plan members to participate in an online self-management/wellness program-US $20 for completing the patient activation measure (PAM) and an additional US $40 for completing 8 learning modules. We examined whether the characteristics of plan members differed by the degree to which they responded to the incentives. Further, we examined whether participation in the wellness program was associated with improvements in PAM scores and changes in health care utilization. METHODS: This retrospective study compared demographic characteristics and change in PAM scores and health utilization for 144,625 health plan members in 2011. Four groups were compared: (1) those who were offered the incentives but chose not to participate (n=128,634), (2) those who received the initial incentive (PAM only) but did not complete 8 topics (n=7099), (3) those who received both incentives (completing 8 topics but no more) (n=2693), and (4) those who received both incentives and continued using the online program beyond what was required by the incentives (n=6249). RESULTS: The vast majority of health plan members did not participate in the program (88.91%, 128,634/144,675). Of those who participated, only 7099 of 16,041 (44.25%) completed the PAM for the first incentive, 2693 (16.79%) completed 8 topics for the second incentive, and 6249 (38.96%) received both incentives and continued using the program beyond the incentive requirements. Nonparticipants were more likely to be men and to have lower health risk scores on average than the other three groups of participants (P<.001). In multivariate regression models, those who used the online program (8 topics or beyond) increased their PAM score by approximately 1 point more than those who only took the PAM and did not use the wellness program (P<.03). In addition, emergency department visits were lower for all groups who responded to any level of the incentive as compared to those who did not (P<.01). No differences were found in other types of utilization. CONCLUSIONS: The incentive was not sufficient to spark most health plan members to use the wellness program. However, the fact that many program participants went beyond the incentive in their use of the online wellness program suggests that the users of the online program found value in using it, and it was their own internal motivation that stimulated this additional use. Providing an incentive for program participation may be an effective pathway for working with less activated patients, particularly if the program is tailored to the needs of the less activated.