Faculty Bibliography

BACKGROUND:Community volunteerism is essential in the implementation of the Community-based Health Planning and Services (CHPS) in Ghana. We explored the responsibilities, motivations and challenges of community health management committees (CHMCs) in two CHPS+ Project districts in Ghana. METHODS:We used a qualitative approach to collect data through 4 focus group discussions among a purposive sample of community health volunteers in December 2018 and analysed them thematically. RESULTS:Community health management committees (CHMCs) were found to provide support in running the CHPS programme through resource mobilisation, monitoring of logistics, assisting the Community Health Officers (CHO) in the planning of CHPS activities, and the resolution of conflicts between CHOs and community members. The value, understanding and protective functions were the key motivations for serving on CHMCs. Financial, logistical and telecommunication challenges, lack of recognition and cooperation from community members, lack of motivation and lack of regular skill development training programmes for CHMC members who serve as traditional birth attendants (TBAs) were major challenges in CHMC volunteerism. CONCLUSION/CONCLUSIONS:Community health volunteerism needs to be prioritised by the Ghana Health Service and other health sector stakeholders to make it attractive for members to give off their best in the discharge of their responsibilities.

BACKGROUND:Child and adolescent mental health problems account for a significant proportion of the local and global burden of disease and is recognized as a growing public health concern in need of adequate services. Studies carried out in Kenya suggest a need for a robust service for the treatment, prevention, and promotion of child and adolescent mental health. Despite a few existing services to provide treatment and management of mental health disorders, we need more knowledge about their effectiveness in the management of these disorders. This paper describes a study protocol that aims to evaluate the process and outcomes of psychotherapies offered to children and adolescents seeking mental health services at the Kenyatta National Hospital in Kenya. METHODS:This study will use a prospective cohort approach that will follow adolescent patients (12-17 years of age) receiving mental health services in the youth clinics at the Kenyatta National Hospital for a period of 12 months. During this time a mixed methods research will be carried out, focusing on treatment outcomes, therapeutic relationship, understanding of psychotherapy, and other mental health interventions offered to the young patients. In this proposed study, we define outcome as the alleviation of symptoms, which will be assessed quantitatively using longitudinal patient data collected session-wise. Process refers to the mechanisms identified to promote change in the adolescent. For example, individual participant or clinician characteristics, therapeutic alliance will be assessed both quantitatively and qualitatively. In each session, assessments will be used to reduce problems due to attrition and to enable calculation of longitudinal change trajectories using growth curve modeling. For this study, these will be referred to as session-wise assessments. Qualitative work will include interviews with adolescent patients, their caregivers as well as feedback from the mental health care providers on existing services and their barriers to providing care. CONCLUSION:This study aims to understand the mechanisms through which change takes place beyond the context of psychotherapy. What are the moderators and through which mechanisms do they operate to improve mental health outcomes in young people?

Importance/UNASSIGNED:There is limited information describing the presenting characteristics and outcomes of US patients requiring hospitalization for coronavirus disease 2019 (COVID-19). Objective/UNASSIGNED:To describe the clinical characteristics and outcomes of patients with COVID-19 hospitalized in a US health care system. Design, Setting, and Participants/UNASSIGNED:Case series of patients with COVID-19 admitted to 12 hospitals in New York City, Long Island, and Westchester County, New York, within the Northwell Health system. The study included all sequentially hospitalized patients between March 1, 2020, and April 4, 2020, inclusive of these dates. Exposures/UNASSIGNED:Confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by positive result on polymerase chain reaction testing of a nasopharyngeal sample among patients requiring admission. Main Outcomes and Measures/UNASSIGNED:Clinical outcomes during hospitalization, such as invasive mechanical ventilation, kidney replacement therapy, and death. Demographics, baseline comorbidities, presenting vital signs, and test results were also collected. Results/UNASSIGNED:A total of 5700 patients were included (median age, 63 years [interquartile range {IQR}, 52-75; range, 0-107 years]; 39.7% female). The most common comorbidities were hypertension (3026; 56.6%), obesity (1737; 41.7%), and diabetes (1808; 33.8%). At triage, 30.7% of patients were febrile, 17.3% had a respiratory rate greater than 24 breaths/minute, and 27.8% received supplemental oxygen. The rate of respiratory virus co-infection was 2.1%. Outcomes were assessed for 2634 patients who were discharged or had died at the study end point. During hospitalization, 373 patients (14.2%) (median age, 68 years [IQR, 56-78]; 33.5% female) were treated in the intensive care unit care, 320 (12.2%) received invasive mechanical ventilation, 81 (3.2%) were treated with kidney replacement therapy, and 553 (21%) died. Mortality for those requiring mechanical ventilation was 88.1%. The median postdischarge follow-up time was 4.4 days (IQR, 2.2-9.3). A total of 45 patients (2.2%) were readmitted during the study period. The median time to readmission was 3 days (IQR, 1.0-4.5) for readmitted patients. Among the 3066 patients who remained hospitalized at the final study follow-up date (median age, 65 years [IQR, 54-75]), the median follow-up at time of censoring was 4.5 days (IQR, 2.4-8.1). Conclusions and Relevance/UNASSIGNED:This case series provides characteristics and early outcomes of sequentially hospitalized patients with confirmed COVID-19 in the New York City area.

OBJECTIVE:Identify blood pressure (BP) response to spironolactone in patients with apparent therapy-resistant hypertension (aTRH) using electronic medical records (EMRs) in order to estimate response in a real-world clinical setting. DESIGN:Developed an algorithm to determine BP and electrolyte response to spironolactone for use in a retrospective cohort study. SETTING:An academic medical centre in Nashville, Tennessee. POPULATION:Patients with aTRH prescribed spironolactone. MAIN OUTCOME MEASURES:Baseline BP and BP response, determined as the change in mean systolic BP (SBP) and diastolic BP (DBP) following spironolactone initiation. Additional response measures were serum sodium, potassium and creatinine, estimated glomerular filtration rate, haemoglobin A1c (HbA1c), glucose, high-density lipoprotein, low-density lipoprotein and triglycerides. Demographic characteristics included race, age, gender, body mass index (BMI), diabetes mellitus, chronic kidney disease stage 3, ischaemic heart disease and smoking. RESULTS:The mean decreases in SBP and DBP were 8.1 and 3.4 mm Hg, consistent with clinical trial data. Using a mean decrease in SBP of 5 mm Hg or in DBP of 2 mm Hg to define 'responders', 30.3% of patients did not respond. In univariable analyses, responders had higher BMI, baseline SBP, DBP, sodium and HbA1c, and lower creatinine. In multivariable analysis, responders were older and had significantly higher BMI and baseline SBP and DBP, and lower potassium. Increases in potassium and creatinine following spironolactone were larger in responders. When BP was evaluated as a continuous variable, decreases in SBP and DBP correlated with baseline BP, decrease in sodium and increases in potassium and creatinine following spironolactone. The decrease in SBP was associated with decreasing glucose in European Americans. CONCLUSIONS:We developed an algorithm to assess BP response to a commonly prescribed medication for aTRH using EMRs. Electrolyte changes associated with the BP response to spironolactone are consistent with its mechanism of action of blocking the mineralocorticoid receptor and decreasing epithelial sodium channel activity.

Since the first neurodevelopmental models that sought to explain the influx of risky behaviors during adolescence were proposed, there have been a number of revisions, variations and criticisms. Despite providing a strong multi-disciplinary heuristic to explain the development of risk behavior, extant models have not yet reliably isolated neural systems that underlie risk behaviors in adolescence. To address this gap, we screened 2017 adolescents from an ongoing longitudinal study that assessed 15-health risk behaviors, targeting 104 adolescents (Age Range: 17-to-21.4), characterized as high-or-average/low risk-taking. Participants completed the Monetary Incentive Delay (MID) fMRI task, examining reward anticipation to "big win" versus "neutral". We examined neural response variation associated with both baseline and longitudinal (multi-wave) risk classifications. Analyses included examination of a priori regions of interest (ROIs); and exploratory non-parametric, whole-brain analyses. Hypothesis-driven ROI analysis revealed no significant differences between high- and average/low-risk profiles using either baseline or multi-wave classification. Results of whole-brain analyses differed according to whether risk assessment was based on baseline or multi-wave data. Despite significant mean-level task activation, these results do not generalize prior neural substrates implicated in reward anticipation and adolescent risk-taking. Further, these data indicate that whole-brain differences may depend on how risk-behavior profiles are defined.

Intention and willingness to use drugs are proximal predictors of drug use; however, willingness to use requires more research to inform prevention efforts. This study examines willingness to use drugs among electronic dance music (EDM) party attendees, a population at high risk for drug use. Data were examined from a repeated cross-sectional study of 2,426 adult EDM party attendees surveyed entering nightclubs and festivals in New York City from 2017 to 2019 using time-space sampling. Trends and correlates of reporting whether participants would use ten different synthetic drugs if offered by a friend in the next thirty days were examined. Ecstasy (31.9%), powder cocaine (25.5%), LSD (20.0%), and opioids (16.4%) were most likely to be used if offered. Willingness to use powder cocaine, LSD, ketamine, amphetamine, tryptamines, and 2C series drugs significantly increased from 2017 to 2019, particularly powder cocaine (increasing from 19.1% to 34.2%, p <.001). Any or more recent use of each drug was associated with increases in willingness to use. Past drug use is a consistent predictor of willingness to use if offered, and willingness to use is increasing in this population. Findings can inform prevention efforts by allowing better targeting of those at risk for use.

The detection of NPS in hair has become extensively researched in recent years. Although most NPS fall into the classes of synthetic cannabinoids and designer cathinones, novel synthetic opioids (NSO) have appeared with increasing frequency in the illicit drug supply. While the detection of NSO in hair is now well-documented, interpretation of results presents several controversial issues, as is quite common in hair analysis. In this study, a UHPLC-MS/MS method able to detect 13 synthetic opioids (including fentanyl analogs) and metabolites in hair was applied to 293 real samples. Samples were collected in the United States between November 2016 and August 2018 from subjects who had reported heroin use in the past year or had already tested positive to hair testing for common opiates. The range, mean and median concentrations were calculated for each analyte, in order to draw a preliminary direction for a possible cut-off to discriminate between exposure to either low or high quantities of the drug. Over two-thirds (68%) of samples tested positive for fentanyl at concentrations between LOQ and 8600 pg/mg. The mean value was 382 pg/mg and the median was 95 pg/mg. The metabolites norfentanyl and 4-ANPP were also quantified and were found between LOQ and 320 pg/mg and between LOQ and 1400 pg/mg, respectively. The concentration ratios norfentanyl/fentanyl, 4-ANPP/fentanyl, and norfentanyl/4-ANPP were also tested as potential markers of active use and to discriminate the intake of fentanyl from other analogs. The common occurrence of samples positive for multiple drugs may suggest that use is equally prevalent among consumers, which is not the case, as correlations based on quantitative results demonstrated. We believe this set of experimental observations provides a useful starting point for a wide discussion aimed to better understanding positive hair testing for fentanyl and its analogs in hair samples.

Background Greater physical activity (PA) is associated with lower heart failure (HF) risk. However, it is unclear whether this inverse association exists across all subgroups at high risk for HF, particularly among those with preexisting atherosclerotic cardiovascular disease. Methods and Results We followed 13 810 ARIC (Atherosclerosis Risk in Communities) study participants (mean age 55 years, 54% women, 26% black) without HF at baseline (visit 1; 1987-1989). PA was assessed using a modified Baecke questionnaire and categorized according to American Heart Association guidelines: recommended, intermediate, or poor. We constructed Cox models to estimate associations between PA categories and incident HF within each high-risk subgroup at baseline, with tests for interaction. We performed additional analyses modeling incident coronary heart disease as a time-varying covariate. Over a median of 26 years of follow-up, there were 2994 HF events. Compared with poor PA, recommended PA was associated with lower HF risk among participants with hypertension, obesity, diabetes mellitus, and metabolic syndrome (all P<0.01), but not among those with prevalent atherosclerotic cardiovascular disease (coronary heart disease, stroke, or peripheral arterial disease) (hazard ratio, 0.91; 95% CI, 0.74-1.13 [P interaction=0.02]). Recommended PA was associated with lower risk of incident coronary heart disease (hazard ratio, 0.79; 95% CI, 0.72-0.86), but not with lower HF risk in those with interim coronary heart disease events (hazard ratio, 0.90; 95% CI, 0.78-1.04 [P interaction=0.04]). Conclusions PA was associated with decreased HF risk in patients with hypertension, obesity, diabetes mellitus, and metabolic syndrome. Despite a myriad of benefits in patients with atherosclerotic cardiovascular disease, PA may have weaker associations with HF prevention after ischemic disease is established.

The use of social media is growing rapidly in health care. The purpose of this study was to provide updated data on utilization of social media in urology. A survey was emailed to 19 840 American Urological Association (AUA) members in September 2017, and responses were compared to our previous survey in 2013. Overall, 74% of 1731 respondents have a social media account. Facebook and YouTube were the platforms most commonly used. However, use of Instagram, LinkedIn, Twitter, and Pinterest significantly increased. Among social media users, 33% agreed that it has impacted their practice, and one-third have followed a medical conference remotely. At the 2018 AUA meeting (#AUA18), there were 18,863 tweets from 3887 contributors, which achieved 73,878 million impressions, a significant increase since 2013. More than half of users were not familiar with professional guidelines on social media. The most common reasons for non-use were not seeing any value and not wanting invasion of privacy. In conclusion, social media use has increased substantially in urology, providing opportunities for global conference participation and influencing clinical practice for a substantial proportion of users. Professional standards for online conduct should be integrated into medical education as use of social media continues to increase. PATIENT SUMMARY: The use of social media in urology has increased over time. Although Facebook and YouTube are the platforms most commonly used, use of Instagram, LinkedIn, Twitter, and Pinterest has significantly increased over time. Use of social media at medical conferences has increased over time, and a substantial proportion of urologists reported that social media influenced their clinical practice.

BACKGROUND:Little is known about the key composition of a successful tweet in urology. OBJECTIVE:To investigate for predictors of engagement with urology content on Twitter. DESIGN, SETTING, AND PARTICIPANTS/METHODS:This was a cross-sectional study based on 2-wk Twitter data surrounding a major international urology conference. INTERVENTION/METHODS:We examined the engagement for all original tweets containing the hashtags for the European Association of Urology conference ("#EAU19" and/or "#EAU2019"). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS/UNASSIGNED:Study outcomes included engagement with tweets, as measured by the number of "likes" and "retweets." Tweet- and Twitter user-related parameters of each individual tweet were recorded. Multiple linear regression analyses were performed to investigate for predictors of likes and retweets. RESULTS AND LIMITATIONS/CONCLUSIONS:From March 9 to 22, 2019, there were a total of 37 222 tweets. Among them, 3534 were "original tweets" that had 31 889 likes and 10 031 retweets. On multivariable analysis, the word count, number of mentions, and presence of a photo were predictors of likes and retweets. An increasing number of hashtags were associated with fewer likes. The number of "followings" and "followers" of the contributor, and their time since joining Twitter did not have any associations with the number of likes or retweets. The major limitation of the study is the lack of assessment about the quality of the tweet content. CONCLUSIONS:Based on the Twitter data from a urology conference, we concluded that the word count, number of mentions, and presence of a photo within the tweet were associated with audience engagement. PATIENT SUMMARY/UNASSIGNED:We could engage the audience more successfully by increasing the number of words and mentions, and including a photo within a tweet. The results formulated the basic principles in creating successful tweets for sharing urological knowledge.