Faculty Bibliography

BACKGROUND:Scabies is a neglected tropical disease. In resource-poor settings, scabies and other skin infections are often unreported to a health centre, or misdiagnosed. Dermatological expertise and training are often lacking. Little is known about patient healthcare-seeking behaviour. This study reviewed diagnosed skin infections reported to urban (Greater Accra) and rural (Oti region) study health centres in Ghana over six months in 2019. METHODS:Study staff received classroom and clinical dermatology training. Skin infection diagnoses and anonymised patient information were recorded. Descriptive statistics and spatial analysis described patient demographics, and distance travelled to clinic, noting bypassing of their nearest centre. RESULTS:Overall, 385 cases of skin infections were reported across the Greater Accra and Oti study clinics, with 45 scabies cases (11.6%). For scabies, 29 (64.4%) cases were in males. Scabies was the third most common diagnosis, behind bacterial dermatitis (102, 26.5%) and tinea (75, 19.5%). In the rural Oti region, 48.4% of patients bypassed their nearest clinic, travelling a mean 6.2 km further than they theoretically needed to. Females travelled further in comparison to males.

We evaluated whether using county-level data to characterize public health measures in cities biases the characterization of city populations. We compared 4 public health and sociodemographic measures in 447 US cities (percent of children living in poverty, percent of non-Hispanic Black population, age-adjusted cardiovascular disease mortality, life expectancy at birth) to the same measures calculated for counties that contain those cities. We found substantial and highly variable city-county differences within and across metrics, which suggests that use of county data to proxy city measures could hamper accurate allocation of public health resources and appreciation of the urgency of public health needs in specific locales.

BACKGROUND:Prior to the coronavirus disease 2019 (COVID-19) pandemic, urology was one of the specialties with the lowest rates of telemedicine and videoconferencing use. Common barriers to the implementation of telemedicine included a lack of technological literacy, concerns with reimbursement, and resistance to changes in the workplace. In response to the COVID-19 pandemic declared in March 2020, the delivery of urological services globally has quickly shifted to telemedicine to account for the mass clinical, procedural, and operative cancellations, inadequate personal protective equipment, and shortage of personnel. OBJECTIVE:To investigate current telemedicine usage by urologists, urologist perceptions on the necessity of in-person clinic appointments, the usability of telemedicine, and the current barriers to its implementation. METHODS:We performed a global, cross-sectional web-based survey to investigate the use of telemedicine before and after the COVID-19 pandemic. Urologists' perceived usability of telemedicine was assessed using a modified Delphi approach to create questions based on a modified version of the validated Telehealth Usability Questionnaire (TUQ). For the purposes of this study, telemedicine was defined as video calls only. RESULTS:A total of 620 urologists from 58 different countries and 6 continents participated in the survey. Prior to COVID-19, 15.8% of urologists surveyed were using telemedicine in their clinical practices; during the pandemic, that proportion increased to 46.1%. Of the urologists without telemedicine experience, interest in usage of telemedicine increased from 43.7 to 80.8% during COVID-19. Among urologists that used telemedicine during the pandemic, 80.9% were interested in continuing to use it in their practice. The three most commonly used platforms were Zoom, Doxy.me, and Epic and the top three barriers to implementing telemedicine were patient lack of technological comprehension, patient lack of access to required technology, and reimbursement concerns. CONCLUSIONS:This is the first study to quantify the use, usability, and pervading interest in telemedicine amongst urologists during the COVID-19 pandemic. In the face of this pandemic, urologists' usage of telemedicine nearly tripled, demonstrating their ability to adopt and adapt telemedicine into their practices, but barriers involving the technology itself are still preventing many from utilizing it despite increasing interest.

IMPORTANCE/OBJECTIVE:Thirty-five years ago, the Heckler Report described health disparities among minority populations in the US. Since then, policies have been implemented to address these disparities. However, a recent evaluation of progress towards improving the health and health equity among US adults is lacking. OBJECTIVES/OBJECTIVE:To evaluate racial/ethnic disparities in the physical and mental health of US adults over the last 2 decades. DESIGN/METHODS:Cross-sectional. SETTING/METHODS:National Health Interview Survey data, years 1999-2018. PARTICIPANTS/METHODS:Adults aged 18-85 years. EXPOSURE/METHODS:Race/ethnicity subgroups (non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, Hispanic). MAIN OUTCOME AND MEASURES/METHODS:Proportion of adults reporting poor/fair health status, severe psychological distress, functional limitation, and insufficient sleep. We also estimated the gap between non-Hispanic White and the other subgroups for these four outcomes. RESULTS:We included 596,355 adults (mean age 46 years, 51.8% women), of which 69.7%, 13.8%, 11.8% and 4.7% identified as non-Hispanic White, Hispanic, non-Hispanic Black, and non-Hispanic Asian, respectively. Between 1999 and 2018, Black individuals fared worse on most measures of health, with 18.7% (95% CI 17.1-20.4) and 41.1% (95% CI 38.7-43.5) reporting poor/fair health and insufficient sleep in 2018 compared with 11.1% (95% CI 10.5- 11.7) and 31.2% (95% CI 30.3-32.1) among White individuals. Notably, between 1999-2018, there was no significant decrease in the gap in poor/fair health status between White individuals and Black (-0.07% per year, 95% CI -0.16-0.01) and Hispanic (-0.03% per year, 95% CI -0.07- 0.02) individuals, and an increase in the gap in sleep between White individuals and Black (+0.2% per year, 95% CI 0.1-0.4) and Hispanic (+0.3% per year, 95% CI 0.1-0.4) individuals. Additionally, there was no significant decrease in adults reporting poor/fair health status and an increase in adults reporting severe psychological distress, functional limitation, and insufficient sleep. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:The marked racial/ethnic disparities in health of US adults have not improved over the last 20 years. Moreover, the self-perceived health of US adults worsened during this time. These findings highlight the need to re-examine the initiatives seeking to promote health equity and improve health.

IMPORTANCE/OBJECTIVE:Racial and ethnic disparities plague the US health care system despite efforts to eliminate them. To understand what has been achieved amid these efforts, a comprehensive study from the population perspective is needed. OBJECTIVES/OBJECTIVE:To determine trends in rates and racial/ethnic disparities of key access to care measures among adults in the US in the last two decades. DESIGN/METHODS:Cross-sectional. SETTING/METHODS:Data from the National Health Interview Survey, 1999-2018. PARTICIPANTS/METHODS:Individuals >18 years old. EXPOSURE/METHODS:Race and ethnicity: non-Hispanic Black, non-Hispanic Asian, non-Hispanic White, Hispanic. MAIN OUTCOME AND MEASURES/METHODS:Rates of lack of insurance coverage, lack of a usual source of care, and foregone/delayed medical care due to cost. We also estimated the gap between non-Hispanic White and the other subgroups for these outcomes. RESULTS:We included 596,355 adults, of which 69.7% identified as White, 11.8% as Black, 4.7% as Asian, and 13.8% as Hispanic. The proportion uninsured and the rates of lacking a usual source of care remained stable across all 4 race/ethnicity subgroups up to 2009, while rates of foregone/delayed medical care due to cost increased. Between 2010 and 2015, the percentage of uninsured diminished for all, with the steepest reduction among Hispanics (-2.1% per year). In the same period, rates of no usual source of care declined only among Hispanics (-1.2% per year) while rates of foregone/delayed medical care due to cost decreased for all. No substantial changes were observed from 2016-2018 in any outcome across subgroups. Compared with 1999, in 2018 the rates of foregone/delayed medical care due to cost were higher for all (+3.1% among Whites, +3.1% among Blacks, +0.5% among Asians, and +2.2% among Hispanics) without significant change in gaps; rates of no usual source of care were not significantly different among Whites or Blacks but were lower among Hispanics (-4.9%) and Asians (-6.4%). CONCLUSIONS AND RELEVANCE/CONCLUSIONS:Insurance coverage increased for all, but millions of individuals remained uninsured or underinsured with increasing rates of unmet medical needs due to cost. Those identifying as non-Hispanic Black and Hispanic continue to experience more barriers to health care services compared with non-Hispanic White individuals. KEY POINTS/CONCLUSIONS:

Importance/UNASSIGNED:Secondhand smoke (SHS) exposure is associated with many health conditions in children and adults. Millions of individuals in the US are currently exposed to SHS in their homes. Objective/UNASSIGNED:To investigate whether a federal ban on smoking in public housing settings was associated with a decrease in indoor SHS levels in New York City public housing developments 12 months after the policy's implementation. Design, Setting, and Participants/UNASSIGNED:This cohort study tracked indoor air quality longitudinally from April 2018 to September 2019 and used difference-in-differences analysis to examine SHS exposure before vs after implementation of the 2018 federal smoke-free housing (SFH) policy in 10 New York City Housing Authority (NYCHA) buildings vs 11 matched low-income buildings not subject to the SFH policy (ie, Section 8 buildings). Exposures/UNASSIGNED:Federal SFH policy implementation, beginning July 30, 2018. Main Outcomes and Measures/UNASSIGNED:Comparison of nicotine concentration levels from passive, bisulfate-coated filters before vs 12 months after implementation of the federal SFH policy. Secondary outcomes included changes in particulate matter less than 2.5 μm in diameter, measured with low-cost particle monitors, and counts of cigarette butts in common areas. Results/UNASSIGNED:Air quality was measured repeatedly in a total of 153 NYCHA and 110 Section 8 nonsmoking households as well as in 91 stairwells and hallways. Before the SFH policy implementation, air nicotine was detectable in 19 of 20 stairwells (95.0%) in NYCHA buildings and 15 of 19 stairwells (78.9%) in Section 8 buildings (P = .19) and in 17 of 19 hallways (89.5%) in NYCHA buildings and 14 of 23 hallways (60.9%) in Section 8 buildings (P = .004). Nicotine was detected less frequently inside nonsmoking apartments overall (26 of 263 [9.9%]) but more frequently in NYCHA apartments (20 of 153 [13.1%]) than in Section 8 apartments (6 of 110 [5.5%]) (P = .04). One year after policy implementation, there was no differential change over time in nicotine concentrations measured in stairwells (DID, 0.03 μg/m3; 95% CI, -0.99 to 1.06 μg/m3) or inside nonsmoking households (DID, -0.04 μg/m3; 95% CI, -0.24 to 0.15 μg/m3). Larger decreases in nicotine concentration were found in NYCHA hallways than in Section 8 hallways (DID, -0.43 μg/m3; 95% CI, -1.26 to 0.40 μg/m3). Conclusions and Relevance/UNASSIGNED:The findings suggest that there was no differential change in SHS in NYCHA buildings 12 months after SFH policy implementation. Additional support may be needed to ensure adherence to SFH policies.

BACKGROUND:Few studies have investigated the association of magnesium levels with incident peripheral artery disease (PAD) despite emerging evidence of magnesium contributing to vascular calcification. Moreover, no data are available on whether the magnesium-PAD relationship is independent of or modified by kidney function. METHODS:A cohort of 11 839 participants free of PAD in the Atherosclerosis Risk in Communities Study at Visit 2 (1990-92) was studied. We investigated the association of serum magnesium and other bone-mineral metabolism markers [calcium, phosphorus, intact parathyroid hormone (iPTH) and intact fibroblast growth factor-23] with incident PAD using multivariable Cox proportional hazards regression. RESULTS:Over a median of 23 years, there were 471 cases of incident PAD. The hazard ratio for incident PAD in Quartile 1 (<1.5 mEq/L) versus Quartile 4 (>1.7 mEq/L) of magnesium was 1.96 (95% confidence interval 1.40-2.74) after adjustment for potential confounders. Lower magnesium levels were associated with greater incidence of PAD, particularly in those with estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m2 (n = 11 606). In contrast, the association was largely flat in those with eGFR <60 mL/min/1.73 m2 (n = 233) with P-for-interaction 0.03. Among bone-mineral metabolism markers, only higher iPTH showed an interaction with kidney function (P-for-interaction 0.01) and iPTH >65 pg/mL was significantly related to PAD only in those with eGFR <60 mL/min/1.73 m2. CONCLUSIONS:Lower magnesium was independently associated with incident PAD, but this association was significantly weaker in those with reduced kidney function. In contrast, higher iPTH levels were particularly related to PAD risk in this clinical population.

Global disparities in breast cancer care become particularly evident when patients seek definitive care in the United States (USA) after receiving a breast cancer diagnosis and initiating care in low- and middle-income countries (LMICs). We performed a retrospective review of 26 patients with breast cancer who immigrated from LMICs and received care at Bellevue Hospital. Fifteen (58%) presented with advanced disease (stage III or IV), including 7 (27%). All 26 patients required diagnostic work-up in the USA, and all 19 (73.1%) patients with stage 0-III disease underwent surgical excision. Patients from LMICs frequently present with advanced disease and in varying stages of breast cancer treatment. Improving communication with previous providers and fostering a collaborative approach with the international community are essential to developing efficacious treatment plans and improving oncologic outcomes.

An increasing number of studies claim machine learning (ML) predicts transplant outcomes more accurately. However, these claims were possibly confounded by other factors, namely, supplying new variables to ML models. To better understand the prospects of ML in transplantation, we compared ML to conventional regression in a "common" analytic task: predicting kidney transplant outcomes using national registry data. We studied 133 431 adult deceased-donor kidney transplant recipients between 2005 and 2017. Transplant centers were randomly divided into 70% training set (190 centers/97 787 recipients) and 30% validation set (82 centers/35 644 recipients). Using the training set, we performed regression and ML procedures [gradient boosting (GB) and random forests (RF)] to predict delayed graft function, one-year acute rejection, death-censored graft failure C, all-cause graft failure, and death. Their performances were compared on the validation set using -statistics. In predicting rejection, regression (C = _0.601 0.611_0.621 ) actually outperformed GB (C = _0.581 0.591_0.601 ) and RF (C = _0.569 0.579_0.589 ). For all other outcomes, the C-statistics were nearly identical across methods (delayed graft function, 0.717-0.723; death-censored graft failure, 0.637-0.642; all-cause graft failure, 0.633-0.635; and death, 0.705-0.708). Given its shortcomings in model interpretability and hypothesis testing, ML is advantageous only when it clearly outperforms conventional regression; in the case of transplant outcomes prediction, ML seems more hype than helpful.