Tele-Balint under the microscope: What really happens in Tele-Balint groups?

OBJECTIVE: Balint groups provide a safe space for clinicians to discuss difficult cases, with the aim of deepening the clinician-patient relationship and providing space for self-introspection and personal development. During this COVID-19 period, mental health clinicians need a platform to undergo professional supervision and peer learning sessions, which can be provided for by Tele-Balint sessions. This study aims to understand the workings of Balint groups in a multi-disciplinary team, through exploring the experience and perceptions of mental health clinicians in a tertiary obstetrics- and paediatrics-focused hospital in Singapore towards Tele-Balint groups, and examining if these groups can address their professional needs. METHOD: A mixed-methods study was conducted. 26 mental health clinicians who had participated in Tele-Balint groups since March 2020 completed a semi-structured questionnaire, and 12 of them were interviewed. Qualitative analysis of interview transcripts was performed. RESULTS: Qualitative analysis revealed 5 themes. The first 4: professional and personal growth of clinicians, providing emotional support to clinicians, burnout in clinicians: what contributes and what helps, and psychological safety, address whether Tele-Balint groups meet clinicians' needs. The last theme, evolution of nature of Balint groups, addresses whether Tele-Balint groups meet clinicians' needs during the time of a pandemic. CONCLUSIONS: Tele-Balint group participation was found to be beneficial in facilitating personal and professional growth, providing emotional support and preventing burnout, despite some limitations. Members should maintain flexibility towards the Balint process, in order to accommodate others who have differing needs, especially in a multi-disciplinary group.

Bayesian Additive Regression Trees (BART) with covariate adjusted borrowing in subgroup analyses.

It is crucial in clinical trials to investigate treatment effect consistency across subgroups defined by patient baseline characteristics. However, there may be treatment effect variability across subgroups due to small subgroup sample size. Various Bayesian models have been proposed to incorporate this variability when borrowing information across subgroups. These models rely on the underlying assumption that patients with similar characteristics will have similar outcomes to the same treatment. Patient populations within each subgroup must subjectively be deemed similar enough Pocock (1976) to borrow response information across subgroups. We propose utilizing the machine learning method of Bayesian Additive Regression Trees (BART) to provide a method for subgroup borrowing that does not rely on an underlying assumption of homogeneity between subgroups. BART is a data-driven approach that utilizes patient-level observations. The amount of borrowing between subgroups automatically adjusts as BART learns the covariate-response relationships. Modeling patient-level data rather than treating the subgroup as a single unit minimizes assumptions regarding homogeneity across subgroups. We illustrate the use of BART in this context by comparing performance from existing subgroup borrowing methods in a simulation study and a case study in non-small cell lung cancer. The application of BART in the context of subgroup analyses alleviates the need to subjectively choose how much information to borrow based on subgroup similarity. Having the amount of borrowing be analytically determined and controlled for based on the similarity of individual patient-level characteristics allows for more objective decision making in the drug development process with many other applications including basket trials.

Process evaluation of an academic-community-government partnership to reduce liver diseases attributable to hepatitis B virus.

BACKGROUND: Racial/ethnic minorities have higher incidence and mortality rates of liver cancer, or hepatocellular carcinoma, than non-Hispanic Whites. As such, the Washington-Baltimore Metropolitan Area Hepatitis B Virus (WB-HBV) Demonstration Project, a community-based participatory research (CBPR)-driven academic-community-government (ACG) partnership, was established in 2019 to address disparities and implement strategies to improve the HBV screening and vaccination infrastructure for at-risk communities. CBPR is a partnership of community members, organizational leaders, and academic researchers with a common aim to collectively share and contribute their input at every phase of the project. Herein, we describe the process evaluation of the WB-HBV Project and extract themes and insights to benefit future ACG partnerships and community-engaged research. The process evaluation has been conducted to determine whether CBPR-driven partnership and programmatic activities have been implemented as intended and have resulted in building expanded research capacity for future ACG partnership HBV community-level initiatives. METHODS: A WB-HBV Project Task Force was convened and comprised of eight organizations: four community organizations, three government organizations, and one academic institution. Through a mixed-methods process evaluation, an online survey and key informant interviews were conducted to provide context for program implementation barriers and facilitators. Descriptive statistics were conducted, and interviews were recorded, transcribed, and thematically coded. RESULTS: The survey was completed by 14 of 20 partnership members (70.0%): two academic, eight community, and four government members. Partnership members showed general agreement across 14 domains: organization and structure of meetings; trust; decisions; impact; general satisfaction; strategic planning; ACG policy impact; community-based participatory research and government; participation in meetings; assessment of participation; partnership operations and capacity; communication; challenges/limitations associated with ACG involvement; and benefits compared to challenges associated with ACG involvement. Qualitative interviews were conducted with 15 of the 20 members (75.0%): two academic, nine community, and four government members. Four themes emerged: partnership involvement, project goals and accomplishments, project challenges and barriers, and partnership involvement in government or policy. CONCLUSIONS: The process evaluation presents insights into developing strategies to enhance partnership functioning and increase the ability of present and future ACG partnerships to improve community health outcomes.

Prevalence of Viral Hepatitis in Foreign-Born Populations in the Baltimore-Washington Metropolitan Area, 2009-2015.

While the majority of viral hepatitis is experienced in the developing world, migration of people from high prevalence countries contributes to health outcomes in the United States. The purpose of this study was to estimate the prevalence of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in foreign-born immigrants living in the Baltimore-Washington metropolitan area. This study used cross-sectional data from 5982 individuals screened at community events held from 2009 to 2015. Descriptive statistics were generated to describe the screening results. Positive results for HBV infection (HBsAg+) and HCV infection (HCVAb+) were analyzed according to age, gender, and country of birth. Of 5982, the majority of participants were born in Asia (77.8%). The prevalence of infection was 6.1% for HBV and 3.8% for HCV in Asia-born immigrants compared to 3.7% for HBV and 2.8% for HCV in Africa-born immigrants. Among participants who were Asia-born, prevalence of HBV infection was highest for those from Cambodia (11.9%) compared to Vietnam (8.2%), China (8.1%), Laos (6.1%), and Korea (4.6%). Among participants who were Africa-born, prevalence of HBV was highest for those from Liberia (6.7%) and Sierra Leone (6.7%), followed by Cameroon (4.4%) and Nigeria (4.2%). The highest HCV prevalence occurred among those from Cambodia (10.8%) and Myanmar (4.9%) in Asia and those from Cameroon (11.4%) and Nigeria (4.8%) in Africa. This study suggests that screening data are disaggregated by country of birth, then improvements can be made to programs for prevention, earlier diagnosis, and linkage to care.

Retrieval augmented scientific claim verification.

Objective: To automate scientific claim verification using PubMed abstracts. Materials and Methods: We developed CliVER, an end-to-end scientific Claim VERification system that leverages retrieval-augmented techniques to automatically retrieve relevant clinical trial abstracts, extract pertinent sentences, and use the PICO framework to support or refute a scientific claim. We also created an ensemble of three state-of-the-art deep learning models to classify rationale of support, refute, and neutral. We then constructed CoVERt, a new COVID VERification dataset comprising 15 PICO-encoded drug claims accompanied by 96 manually selected and labeled clinical trial abstracts that either support or refute each claim. We used CoVERt and SciFact (a public scientific claim verification dataset) to assess CliVER's performance in predicting labels. Finally, we compared CliVER to clinicians in the verification of 19 claims from 6 disease domains, using 189 648 PubMed abstracts extracted from January 2010 to October 2021. Results: In the evaluation of label prediction accuracy on CoVERt, CliVER achieved a notable F1 score of 0.92, highlighting the efficacy of the retrieval-augmented models. The ensemble model outperforms each individual state-of-the-art model by an absolute increase from 3% to 11% in the F1 score. Moreover, when compared with four clinicians, CliVER achieved a precision of 79.0% for abstract retrieval, 67.4% for sentence selection, and 63.2% for label prediction, respectively. Conclusion: CliVER demonstrates its early potential to automate scientific claim verification using retrieval-augmented strategies to harness the wealth of clinical trial abstracts in PubMed. Future studies are warranted to further test its clinical utility.

Racial Disparities in Hepatitis B Birth Dose in the Washington Metropolitan Region, 2018-2020.

Hepatitis B vaccination protects newborns from contracting the hepatitis B virus that may lead to chronic infection, liver failure, or death. Trends and racial differences in the administration of the hepatitis B (HepB) birth dose in 2018−2020 were examined in the targeted region. A retrospective analysis of electronic birth dose vaccination data of newborns in 2018−2020 was performed. Birth data from six birthing facilities and home delivery records were obtained from the DC Health Department Vital Statistics Division. This data represented 40,269 newborns and included the mother's race and ethnicity, health insurance type, birthing facility, and administration of the HepB birth dose. Descriptive analysis and multivariable logistic regression analysis were conducted. In addition, subgroup analysis by health insurance type was also conducted with a significant interaction of race/ethnicity and health insurance type. A total of 34,509 (85.7%) received the HepB birth dose within 12 h or before discharge from the facility. The rates of birth dose vaccination have seen an increase over the 3-year period (83.7% in 2018, 85.8% in 2018, 87.7% in 2020, p < 0.01). Multivariable logistic regression analysis revealed racial differences in HepB birth dose vaccination rates. Asian Americans had the highest rate of newborn vaccination consistently over the 3-year period. Conversely, African American infants were less likely to have the birth dose than non-Hispanic Whites (aOR = 0.77, 95% CI: 0.71−0.83). Our research indicates that further studies are needed to explore HepB birth dose hesitancy among African Americans.

Linkage-to-Care Following Community-Based HBV and HCV Screening Among Immigrants from the Washington-Baltimore Metropolitan Area, 2016-2019.

Understanding characteristics that impact linkage-to-care (LTC) among individuals living with HBV and/or HCV can enhance public health efforts to provide tailored care services to prevent and treat viral hepatitis among immigrants. Using HBV/HCV screening and LTC data from immigrants (2016-2019), descriptive and logistic regression analyses were conducted to assess (1) the relationship between LTC and sociodemographic factors and (2) factors associated with HBV/HCV LTC. About 87% of those positive HBsAg had LTC and 52% had LTC among those with HCVAB and confirmed PCR. Access to care was an important LTC predictor for HBV-LTC: those who had neither health insurance nor primary care provider (PCP) were more likely to have HBV-LTC than those who had either health insurance or PCP (aOR = 2.95, 95% CI = 1.32-6.59). It is essential to equally provide HBV/HCV LTC support to all immigrants from countries with high prevalence regardless of access to care.

Anatomic, Visual, and Financial Outcomes for Traditional and Nontraditional Primary Pneumatic Retinopexy for Retinal Detachment.

PURPOSE: To determine factors predictive of anatomic, visual, and financial outcomes after traditional and nontraditional primary pneumatic retinopexy (PR) for rhegmatogenous retinal detachment (RD). DESIGN: Retrospective interventional case series and cost comparison. METHODS: Participants: Total of 178 eyes (156 patients) with PR-repaired primary RD by a single surgeon at a clinical practice from January 2001 to December 2013 and followed for ≥1 year. The cohort had 2 subgroups: traditional (TPR) and nontraditional (NTPR) PR. MAIN OUTCOME MEASURES: Characteristics associated with best-corrected visual acuity (BCVA) and anatomic outcomes. Cost analysis and potential cost savings comparing PR to scleral buckle and vitrectomy. RESULTS: One hundred thirty-one of 178 eyes (73.5%) were successfully treated at 1 year (postoperative year 1): 72.8% (75/103) in TPR and 74.6% (56/75) in NTPR. Macula-off detachment (-0.44 logMAR, P < .001) and clock hours of RD (-0.84 logMAR, P < .001) correlated with improved BCVA; pseudophakia (0.26 logMAR, P = .002) and inferior retinal tears (0.62 logMAR, P = .009) correlated with worsening BCVA. Pseudophakia (-0.15, P = .03), inferior quadrant RD (-0.27, P < .001), and proliferative vitreoretinopathy (-0.68, P < .001) correlated with anatomic failure. Total average cost for TPR and NTPR was $1248.37 ± $882.11 and $1471.91 ± $942.84, respectively (P = .10). PR had a potential cost savings of 62% and 60.8% when compared to scleral buckle and vitrectomy, respectively. CONCLUSIONS: PR results in successful anatomic and visual outcomes in both TPR and NTPR repair of primary RD. Preoperative pseudophakia is associated with worse visual outcomes and less anatomic success. The cost of primary PR and subsequent procedures to achieve final anatomic success was not significantly different between TPR and NTPR, and supports the possible cost-effectiveness of expanded indications for PR.

Tracking single fluorescent particles in three dimensions via extremum seeking.

The ability to track single fluorescent particles in three-dimensions with sub-diffraction limit precision as well as sub-millisecond temporal resolution has enabled the understanding of many biophysical phenomena at the nanometer scale. While there are several techniques for achieving this, most require complicated experimental setups that are expensive to implement. These methods can offer superb performance but their complexity may be overwhelming to the end-user whose aim is only to understand the feature being imaged. In this work, we describe a method for tracking a single fluorescent particle using a standard confocal or multi-photon microscope configuration. It relies only on the assumption that the relative position of the measurement point and the particle can be actuated and that the point spread function has a global maximum that coincides with the particle's position. The method uses intensity feedback to calculate real-time position commands that "seek" the extremum of the point spread function as the particle moves through its environment. We demonstrate the method by tracking a diffusing quantum dot in a hydrogel on a standard epifluorescent confocal microscope.

Sociodemographic characteristics, knowledge and prevalence of viral hepatitis infection among Vietnamese Americans at community screenings.

Few studies have investigated the prevalence of hepatitis B virus (HBV) and C virus (HCV) infection among Vietnamese Americans (VAs). The purpose of this paper is to assess the prevalence of HBV and HCV infection, identify the sociodemographic characteristics of the HBV infected population and the level of HBV knowledge among VAs in the Baltimore-Washington metropolitan areas with data from a health fair in 2011. A total of 617 VAs received serological testing for HBV and HCV, and 329 completed a survey of HBV knowledge assessment. About 9% were infected with HBV and 5% with HCV. Vietnamese Americans younger than 30 years had the highest HBV prevalence (13.1%) followed by those age 41-50 years (12.1%). The prevalence of HCV infection was particularly higher among those older than 70 years old (13.9%). Misunderstanding HBV as a food-borne disease is prevalent among VAs. Efforts to develop public health screening and education programs targeting this population are warranted.