Faculty Bibliography

Purpose: The institutional conditions of primary care provision remain understudied in low- and middle-income countries. This study analyzes how primary care doctors cope with medical uncertainty in municipal clinics in urban India. As street-level bureaucrats, the municipal doctors occupy two roles simultaneously: medical professional and state agent. They operate under conditions that characterize health systems in low-resource contexts globally: inadequate state investment, weak regulation and low societal trust. The study investigates how, in these conditions, the doctors respond to clinical risk, specifically related to noncommunicable diseases (NCDs). Design/methodology/approach: The analysis draws on year-long ethnographic fieldwork in Pune (2013"“14), a city of three million, including 30 semi-structured interviews with municipal doctors. Findings: Interpreting their municipal mandate to exclude NCDs and reasoning their medical expertise as insufficient to treat NCDs, the doctors routinely referred NCD cases. They expressed concerns about violence from patients, negative media attention and unsupportive municipal authorities should anything go wrong clinically. Originality/value: The study contextualizes street-level service-delivery in weak institutional conditions. Whereas street-level workers may commonly standardize practices to reduce workload, here the doctors routinized NCD care to avoid the sociopolitical consequences of clinical uncertainty. Modalities of the welfare state and medical care in India "“ manifest in weak municipal capacity and healthcare regulation "“ appear to compel restraint in service-delivery. The analysis highlights how norms and social relations may shape primary care provision and quality.

Although new mothers are at risk of heightened vulnerability for depressive symptoms, there is limited understanding regarding changes in maternal depressive symptoms over the course of the postpartum and early childhood of their child's life among rural, low-income mothers from diverse racial backgrounds. This study examined distinct trajectories of depressive symptoms among rural low-income mothers during the first five years of their child's life, at 6, 15, 24, and 58 months, using data from the Family Life Project (N = 1,292). Latent class growth analysis identified four distinct trajectories of maternal depressive symptoms, including Low-decreasing (50%; n = 622), Low-increasing (26%; n = 324), Moderate-decreasing (13%; n = 156), and Moderate-increasing (11%; n = 131) trajectories. Multinomial logistic regression demonstrated that higher perceived financial strain and intimate partner violence, and lower social support predicted higher-risk trajectories (Low-increasing, Moderate-decreasing, and Moderate-increasing) relative to the Low-decreasing trajectory. Compared to the Low-decreasing trajectory, lower neighborhood safety/quietness predicted to the Low-increasing trajectory. Moreover, lower social support predicted the Moderate-increasing trajectory, the highest-risk trajectory, compared to those in Moderate-decreasing. The current analyses underscore the heterogeneity on patterns of depressive symptoms among rural, low-income mothers, and that the role of both proximal and broader contexts contributing to distinct trajectories of maternal depressive symptoms over early childhood.

PURPOSE/UNASSIGNED:Prior evidence suggests racial disparities in the utilization of visual field testing (VFT) for the diagnosis and monitoring of glaucoma. In this study, we considered the effect of baseline glaucoma severity and socioeconomic disadvantage along with other potential confounders such as test reliability, ancillary tests, and glaucoma surgeries on racial disparity in the frequency of VFT. METHODS/UNASSIGNED:The records of all subjects with a diagnosis of glaucoma who received VFT at an academic, tertiary care facility from January 2018 to December 2021 were accessed. Analysis was performed to compare VFT frequency, the total number of office visits (DoS), and the ratio of VFT frequency to DoS (VFT/DoS) across self-reported races while controlling for sex, age, socioeconomic disadvantage (Area Deprivation Index), VF reliability indicators and baseline mean deviation, optical coherence tomography frequency, and glaucoma surgeries. RESULTS/UNASSIGNED:Among the 2654 subjects (1515 White, 782 Black, and 357 Asian) included in this study, Black subjects had the worst socioeconomic status and disease severity at baseline. They also experienced a 3% lower VFT/DoS ratio compared to White subjects (P = 0.031). Asian subjects had a 5% lower VFT/DoS ratio compared to White subjects (P = 0.015). DISCUSSION/UNASSIGNED:We identified racial disparity in performing VFT in subjects with glaucoma even when multiple confounders were considered. Further investigation is necessary to identify other race-associated factors to work toward reducing racial disparities in VFT. TRANSLATIONAL RELEVANCE/UNASSIGNED:Black and Asian subjects with glaucoma receive fewer VFT per visit compared to White subjects even when considering socioeconomic disadvantage and disease severity.

IMPORTANCE/UNASSIGNED:Identifying the mechanisms of structural racism, such as racial and ethnic segregation, is a crucial first step in addressing the persistent disparities in access to live donor kidney transplantation (LDKT). OBJECTIVE/UNASSIGNED:To assess whether segregation at the candidate's residential neighborhood and transplant center neighborhood is associated with access to LDKT. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:In this cohort study spanning January 1995 to December 2021, participants included non-Hispanic Black or White adult candidates for first-time LDKT reported in the US national transplant registry. The median (IQR) follow-up time for each participant was 1.9 (0.6-3.0) years. MAIN OUTCOME AND MEASURES/UNASSIGNED:Segregation, measured using the Theil H method to calculate segregation tertiles in zip code tabulation areas based on the American Community Survey 5-year estimates, reflects the heterogeneity in neighborhood racial and ethnic composition. To quantify the likelihood of LDKT by neighborhood segregation, cause-specific hazard models were adjusted for individual-level and neighborhood-level factors and included an interaction between segregation tertiles and race. RESULTS/UNASSIGNED:Among 162 587 candidates for kidney transplant, the mean (SD) age was 51.6 (13.2) years, 65 141 (40.1%) were female, 80 023 (49.2%) were Black, and 82 564 (50.8%) were White. Among Black candidates, living in a high-segregation neighborhood was associated with 10% (adjusted hazard ratio [AHR], 0.90 [95% CI, 0.84-0.97]) lower access to LDKT relative to residence in low-segregation neighborhoods; no such association was observed among White candidates (P for interaction = .01). Both Black candidates (AHR, 0.94 [95% CI, 0.89-1.00]) and White candidates (AHR, 0.92 [95% CI, 0.88-0.97]) listed at transplant centers in high-segregation neighborhoods had lower access to LDKT relative to their counterparts listed at centers in low-segregation neighborhoods (P for interaction = .64). Within high-segregation transplant center neighborhoods, candidates listed at predominantly minority neighborhoods had 17% lower access to LDKT relative to candidates listed at predominantly White neighborhoods (AHR, 0.83 [95% CI, 0.75-0.92]). Black candidates residing in or listed at transplant centers in predominantly minority neighborhoods had significantly lower likelihood of LDKT relative to White candidates residing in or listed at transplant centers located in predominantly White neighborhoods (65% and 64%, respectively). CONCLUSIONS/UNASSIGNED:Segregated residential and transplant center neighborhoods likely serve as a mechanism of structural racism, contributing to persistent racial disparities in access to LDKT. To promote equitable access, studies should assess targeted interventions (eg, community outreach clinics) to improve support for potential candidates and donors and ultimately mitigate the effects of segregation.

OBJECTIVES/OBJECTIVE:Despite the potential importance of the neighborhood social environment for cognitive health, the connection between neighborhood characteristics and dementia remains unclear. This study investigated the association between the prospective risk of dementia and three distinct aspects of neighborhood social environment: socioeconomic deprivation, disorder, and social cohesion. We also examined whether objective and subjective aspects of individual-level social isolation may function as mediators. METHODS:Leveraging data from the Health and Retirement Study (2006-2018; N = 9,251), we used Cox proportional hazards models to examine the association between time-to-dementia incidence and each neighborhood characteristic, adjusting for covariates and the propensity to self-select into disadvantaged neighborhoods. We used inverse odds weighting to decompose significant total effects of neighborhood characteristics into mediational effects of objective and subjective social isolation. RESULTS:The risk of dementia was associated with deprivation and disorder but not low cohesion. In deprived neighborhoods, individuals had an 18% increased risk of developing dementia (cause-specific hazard ratio [CHR] = 1.18, 95% CI: 1.02 to 1.38), and those in disordered areas had a 27% higher risk (CHR = 1.27, 95% CI: 1.03 to 1.59). 20% of the disorder's effects were mediated by subjective social isolation, while the mediational effects of objective isolation were nonsignificant. Deprivation's total effects were not partitioned into mediational effects given its nonsignificant associations with the mediators. DISCUSSION/CONCLUSIONS:Neighborhood deprivation and disorder may increase middle to older adults' risks of dementia. The disorder may adversely affect cognitive health through increasing loneliness. Our results suggest a clear need for dementia prevention targeting upstream neighborhood contexts, including the improvement of neighborhood conditions to foster social integration among residents.

We introduce a simple variant of a Purely Random Forest, an Absolute Random Forest (ARF) for clustering. At every node splits of units are determined by a randomly chosen feature and a random threshold drawn from a uniform distribution whose support, the range of the selected feature in the root node, does not change. This enables closed-form estimators of parameters, such as pairwise proximities, to be obtained without having to grow a forest. The probabilistic structure corresponding to an ARF is called a Treeless Absolute Random Forest (TARF). With high probability, the algorithm will split units whose feature vectors are far apart and keep together units whose feature vectors are similar. Thus, the underlying structure of the data drives the growth of the tree. The expected value of pairwise proximities is obtained for three pathway functions. One, a completely common pathway function, is an indicator of whether a pair of units follow the same path from the root to the leaf node. The properties of TARF-based proximity estimators for clustering and classification are compared to other methods in eight real-world data sets and in simulations. Results show substantial performance and computing efficiencies of particular value for large data sets.

BACKGROUND AND OBJECTIVE/UNASSIGNED:Incidence rates for prostate cancer (PCa) diagnosis and mortality are higher for Black men. It is unknown whether similar disparities exist in survivorship care. We assessed the delivery and quality of survivorship care for Black men undergoing PCa therapy in terms of the burden of and treatment for urinary adverse events (UAEs) and erectile dysfunction (ED). METHODS/UNASSIGNED:We queried Optum Clinformatics data for all patients diagnosed with PCa from January 1, 2002 to December 31, 2017 and identified those who underwent primary PCa treatment. Index cohorts were identified in each year and followed longitudinally until 2017. Data for UAE diagnoses, UAE treatments, and ED treatments were analyzed in index cohorts. Cox proportional-hazards regression models were used to examine associations of race with UAE diagnosis, UAE treatment, and ED treatment. KEY FINDINGS AND LIMITATIONS/UNASSIGNED:We identified 146, 216 patients with a PCa diagnosis during the study period, of whom 55, 149 underwent primary PCa treatment. In the primary treatment group, 32.7% developed a UAE and 28.2% underwent UAE treatment. The most common UAEs were urinary incontinence (11%), ureteral obstruction/stricture (4.5%), bladder neck contracture (4.5%), and urethral stricture (3.7%). The most common UAE treatments were cystoscopy (13%), suprapubic tube placement (6%), and urethral dilation (5%). Overall, UAE diagnosis rates were higher for Black patients, who had significantly higher risk of urethral obstruction, rectourethral fistula, urinary incontinence, cystitis, urinary obstruction, and ureteral fistula. Overall, UAE treatment rates were lower for Black patients, who had significantly higher risk of fecal diversion and/or rectourethral fistula repair (adjusted hazard ratio [aHR] 1.71, 95% confidence interval [CI] 1.04-2.79). Regarding ED treatments, Black patients had higher risk of penile prosthesis placement (aHR 1.591, 95% CI 1.26-2.00) and intracavernosal injection (aHR 1.215, 95% CI 1.08-1.37). CONCLUSIONS AND CLINICAL IMPLICATIONS/UNASSIGNED:Despite a high UAE burden, treatment rates were low in a cohort with health insurance. Black patients had a higher UAE burden and lower UAE treatment rates. Multilevel interventions are needed to address this stark disparity. ED treatment rates were higher for Black patients. PATIENT SUMMARY/UNASSIGNED:We reviewed data for patients treated for prostate cancer (PCa) and found that 32.7% were diagnosed with a urinary adverse event (UAE) following their PCa treatment. The overall treatment rate for these UAEs was 28.2%. Analysis by race showed that the UAE diagnosis rate was higher for Black patients, who were also more likely to receive treatment for erectile dysfunction.