Factors Informing High-Risk Primary Care Patient Choice around Telehealth Use: a Framework.

BACKGROUND: While telehealth's presence in post-pandemic primary care appears assured, its exact role remains unknown. Value-based care's expansion has heightened interest in telehealth's potential to improve uptake of preventive and chronic disease care, especially among high-risk primary care populations. Despite this, the pandemic underscored patients' diverse preferences around using telehealth. Understanding the factors underlying this population's preferences can inform future telehealth strategies. OBJECTIVE: To describe the factors informing high-risk primary care patient choice of whether to pursue primary care via telehealth, in-office or to defer care altogether. DESIGN: Qualitative, cross-sectional study utilizing semi-structured telephone interviews of a convenience sample of 29 primary care patients between July 13 and September 30, 2020. PARTICIPANTS: Primary care patients at high risk of poor health outcomes and/or acute care utilization who were offered a follow-up primary care visit via audiovisual, audio-only or in-office modalities. APPROACH: Responses were analyzed via grounded theory, using a constant comparison method to refine emerging categories, distinguish codes, and synthesize evolving themes. KEY RESULTS: Of the 29 participants, 16 (55.2%) were female and 19 (65.5%) were Black; the mean age (SD) was 64.6 (11.1). Participants identified four themes influencing their choice of visit type: perceived utility (encapsulating clinical and non-clinical utility), underlying costs (in terms of time, money, effort, and safety), modifiers (e.g., participants' clinical situation, choice availability, decision phenotype), and drivers (inclusive of their background experiences and digital environment). The relationship of these themes is depicted in a novel framework of patient choice around telehealth use. CONCLUSIONS: While visit utility and cost considerations are foundational to participants' decisions around whether to pursue care via telehealth, underappreciated modifiers and drivers often magnify or mitigate these considerations. Policymakers, payers, and health systems can leverage these factors to anticipate and enhance equitable high-value telehealth use in primary care settings among high-risk individuals.

Insights Into Patients' Perceptions of Health-Related Social Needs and the Role of the Adult Primary Care Clinic.

INTRODUCTION/OBJECTIVES: While it is well established that unmet healthrelated social needs (HRSN) adversely affect health outcomes, there has been limited evaluation in adult primary care of patients' perceptions of how these needs impact their health and the role of the primary care provider (PCP). The objective of this study is to identify patients' perceptions of HRSN and how PCPs could help address them. Secondary objectives include exploring the impact of goal setting and a 1-time cash transfer (CT). METHODS: This qualitative study used semi-structured baseline and follow-up interviews with patients in internal medicine clinics. Adult primary care patients were included if they screened positive as having 1 of 3 HRSN: financial resource strain, transportation needs, or food insecurity. All participants completed an initial interview about their HRSN and health, and were asked to set a 6-month health goal. At enrollment, participants were randomized to receive a $500 CT or a $50 participation reward. At 6-months, patients were interviewed again to investigate progress toward meeting their health goals, [when applicable] how the CT helped, and their beliefs about the role of PCPs in addressing HRSN. RESULTS: We completed 30 initial and 25 follow-up interviews. Participants identified their HRSN, however most did not readily connect identified needs to health. Although participants were receptive to HRSN screening, they did not feel it was their PCP's responsibility to address these needs. Verbal goal-setting appeared to be a useful tool, and while the CTs were appreciated, patients often found them inadequate to address HRSN. CONCLUSIONS: Given the importance of identifying the social conditions that shape patients' health, providers, and health systems have an opportunity to re-evaluate their role in helping patients address these barriers. Future studies could examine the effect of more frequent disbursement of CTs over time.

Human Immunodeficiency Virus (HIV) Quality Indicators Are Similar Across HIV Care Delivery Models.

BACKGROUND: There are limited data on human immunodeficiency virus (HIV) quality indicators according to model of HIV care delivery. Comparing HIV quality indicators by HIV care model could help inform best practices because patients achieving higher levels of quality indicators may have a mortality benefit. METHODS: Using the Partners HIV Cohort, we categorized 1565 patients into 3 HIV care models: infectious disease provider only (ID), generalist only (generalist), or infectious disease provider and generalist (ID plus generalist). We examined 12 HIV quality indicators used by 5 major medical and quality associations and grouped them into 4 domains: process, screening, immunization, and HIV management. We used generalized estimating equations to account for most common provider and multivariable analyses adjusted for prespecified covariates to compare composite rates of HIV quality indicator completion. RESULTS: We found significant differences between HIV care models, with the ID plus generalists group achieving significantly higher quality measures than the ID group in HIV management (94.4% vs 91.7%, P = .03) and higher quality measures than generalists in immunization (87.8% vs 80.6%, P = .03) in multivariable adjusted analyses. All models achieved rates that equaled or surpassed previously reported quality indicator rates. The absolute differences between groups were small and ranged from 2% to 7%. CONCLUSIONS: Our results suggest that multiple HIV care models are effective with respect to HIV quality metrics. Factors to consider when determining HIV care model include healthcare setting, feasibility, and physician and patient preference.

Non-Communicable Disease Preventive Screening by HIV Care Model.

IMPORTANCE: The Human Immunodeficiency Virus (HIV) epidemic has evolved, with an increasing non-communicable disease (NCD) burden emerging and need for long-term management, yet there are limited data to help delineate the optimal care model to screen for NCDs for this patient population. OBJECTIVE: The primary aim was to compare rates of NCD preventive screening in persons living with HIV/AIDS (PLWHA) by type of HIV care model, focusing on metabolic/cardiovascular disease (CVD) and cancer screening. We hypothesized that primary care models that included generalists would have higher preventive screening rates. DESIGN: Prospective observational cohort study. SETTING: Partners HealthCare System (PHS) encompassing Brigham & Women's Hospital, Massachusetts General Hospital, and affiliated community health centers. PARTICIPANTS: PLWHA age >18 engaged in active primary care at PHS. EXPOSURE: HIV care model categorized as infectious disease (ID) providers only, generalist providers only, or ID plus generalist providers. MAIN OUTCOME(S) AND MEASURES(S): Odds of screening for metabolic/CVD outcomes including hypertension (HTN), obesity, hyperlipidemia (HL), and diabetes (DM) and cancer including colorectal cancer (CRC), cervical cancer, and breast cancer. RESULTS: In a cohort of 1565 PLWHA, distribution by HIV care model was 875 ID (56%), 90 generalists (6%), and 600 ID plus generalists (38%). Patients in the generalist group had lower odds of viral suppression but similar CD4 counts and ART exposure as compared with ID and ID plus generalist groups. In analyses adjusting for sociodemographic and clinical covariates and clustering within provider, there were no significant differences in metabolic/CVD or cancer screening rates among the three HIV care models. CONCLUSIONS: There were no notable differences in metabolic/CVD or cancer screening rates by HIV care model after adjusting for sociodemographic and clinical factors. These findings suggest that HIV patients receive similar preventive health care for NCDs independent of HIV care model.

Pregnancy Desire, Partner Serodiscordance, and Partner HIV Disclosure among Reproductive Age HIV-Infected Women in an Urban Clinic.

Women comprise 25% of the US HIV epidemic, with many women of reproductive age. There is a need for providers to address the reproductive needs and desires of women with HIV given that effective antiretroviral therapy has transformed HIV into a chronic disease. This cross-sectional study shows high rates of partner serodiscordance (61%) and moderate HIV disclosure to partners (61%). Patients surveyed reported practitioners discuss condoms (94%) and contraception (71%) more often than pregnancy desire (38%). In our sample, 44% of the surveyed women intended future pregnancy, whereas women who did not intend future pregnancy cited HIV/health and serodiscordance as the most common reasons (56% and 35%, resp.). There was no difference in the knowledge of mother-to-child transmission risk between women who intended or did not intend future pregnancy (p = 0.71). These results underline the need for provider training in reproductive counseling to promote risk reduction and education.

Development of Obesity and Related Diseases in African Refugees After Resettlement to United States.

Despite increases in obesity and related diseases in developing nations, initial refugee clinical visits do not address these issues. We explored the development of obesity and related diseases in a longitudinal prospective cohort of African refugees resettling in northeastern US. Using state Department of Health data, refugees were linked to a health system. Body mass index, diabetes, hypertension, and hyperlipidemia status were extracted from charts. US regional controls from NAMCS/NHAMCS data were matched by age, sex, race, and visit year. African refugee BMI increased after resettlement at 1 (1.7 ± 2.9, p < 0.0001) and 5 years (3.1 ± 3.7, p < 0.0001), a different trend than matched regional controls (p = 0.01). Refugees had increased rates of diabetes (1.0 vs. 10.8 %, p < 0.0001), hypertension (16.7 vs. 21.6 %, p < 0.0001) and hyperlipidemia (3.9 vs. 10.8 %, p < 0.0001) at 5 years not observed in regional controls. Our findings emphasize the need for interventions during resettlement to prevent development of obesity and related disease in this vulnerable population.