Hepatitis C Cascade of Care in a Multidisciplinary Substance Use Bridge Clinic Model in Tennessee.

Many barriers prevent individuals with substance use disorders from receiving hepatitis C virus (HCV) treatment. This study describes 96 patients with active HCV treated in an opioid use disorder bridge clinic model. Of 33 patients who initiated treatment, 25 patients completed treatment, and 13 patients achieved sustained virologic response.

Hyperkalemia Recurrence Following Medical Nutrition Therapy in Patients with Stage 3-4 Chronic Kidney Disease: The REVOLUTIONIZE I Real-World Study.

INTRODUCTION: The REVOLUTIONIZE I study aimed to characterize the relationships between medical nutrition therapy (MNT) and hyperkalemia recurrence in patients with stage 3-4 chronic kidney disease (CKD) and hyperkalemia who received MNT in real-world clinical practice. METHODS: This observational cohort study used de-identified electronic health record data from patients aged ≥ 18 years with stage 3-4 CKD who received MNT between January 2019 and October 2022 and had hyperkalemia (serum potassium > 5.0 mmol/L) within 30 days before MNT. Patients were followed for 6 months or until the first censoring event (death, prescription of outpatient potassium binder, or study end). The primary outcome was the percentage of patients with ≥ 1 hyperkalemia recurrence during follow-up. Secondary outcomes included the number of hyperkalemia recurrences per patient, time to each recurrence, and hyperkalemia-related healthcare resource utilization. Exploratory outcomes included all-cause healthcare resource utilization and mortality. RESULTS: The final cohort comprised 2048 patients; 1503 (73.4%) patients remained uncensored after 6 months. During the 6-month follow-up period, 56.0% of patients had ≥ 1 hyperkalemia recurrence and 37.4% had ≥ 1 recurrence within the first month. Patients with ≥ 1 hyperkalemia recurrence during follow-up had a mean ± standard deviation (SD) of 2.6 ± 2.2 recurrences. The mean ± SD time to first hyperkalemia recurrence was 45 ± 46 days; the time between recurrences decreased with subsequent episodes. Hyperkalemia-related hospitalizations and emergency department visits were recorded for 13.7% and 1.5% of patients, respectively. Sensitivity analyses showed that results were consistent across patient subgroups, including those with comorbid heart failure and patients receiving renin-angiotensin-aldosterone system inhibitor therapy at baseline. CONCLUSION: Most patients with stage 3-4 CKD had hyperkalemia recurrence, and MNT alone was inadequate to prevent recurrence. These patients may require additional long-term treatment, such as novel potassium binders, to maintain normokalemia and prevent hyperkalemia recurrence following MNT. Infographic available for this article. INFOGRAPHIC.

Patients with chronic kidney disease (CKD) typically receive dietary counseling from a registered dietician, referred to as medical nutrition therapy, to help reduce their risk of complications of CKD while addressing their specific nutritional needs. Patients with CKD have an increased risk of elevated blood potassium levels (hyperkalemia), which has potentially life-threatening consequences. Although medical nutrition therapy may help patients with hyperkalemia to manage their dietary potassium intake, its effects in preventing recurrence are unclear. Our aim was to determine whether medical nutrition therapy can help prevent hyperkalemia recurrence after an initial event in patients with non-dialysis-dependent (stage 3­4) CKD in real-world clinical practice. We used data from de-identified electronic health records to study hyperkalemia recurrence over 6 months in patients with stage 3­4 CKD who received medical nutrition therapy within 30 days after experiencing hyperkalemia. Over half of the patients (56.0%) had at least one hyperkalemia recurrence within an average of 45 days during the 6 months after medical nutrition therapy; these patients had an average of 2.6 distinct recurrences in 6 months. In patients with two or more hyperkalemia recurrences, the time between these became shorter than 30 days. Our real-world study results show that hyperkalemia is a chronic, recurring condition in patients with stage 3­4 CKD, and that medical nutrition therapy is not enough to prevent its recurrence. This suggests that these patients may need additional long-term treatment for hyperkalemia, such as novel potassium binder therapy, to prevent hyperkalemia recurrence.

Stroke virtual rehabilitation in rural communities: exploring the perceptions of stroke survivors, caregivers, clinicians, and health administrators.

PURPOSE: Rural-dwelling stroke survivors have unmet rehabilitation needs after returning to community-living. Virtual rehabilitation, defined as the use of technology to provide rehabilitation services from a distance, could be a viable and timely solution to address this need, especially within the COVID-19 pandemic context. There is still a minimal understanding of virtual rehabilitation delivery within rural contexts. This study sought to explore the perceptions of rural stakeholders about virtual stroke rehabilitation. METHODS: Following an interpretive description approach, 17 qualitative interviews were conducted with stroke survivors (n = 5), caregivers (n = 2), clinicians (n = 7), and health administrators (n = 3), and analyzed to understand their experiences and perceptions of virtual stroke rehabilitation. RESULTS: We identified three overarching themes from the participant responses (1) The Root of the (Rural) Problem considered how systemic inequities impact stroke survivors' and caregivers' access to stroke recovery services; (2) Common Benefits, Different Challenges identified the unique benefits and challenges of delivering virtual rehabilitation within rural contexts; and (3) Ingredients for Success described important considerations for implementing virtual rehabilitation. CONCLUSION: Virtual rehabilitation is generally accepted by all stakeholders as a supplement to in-person services. Addressing the unique barriers faced by rural clinicians and stroke survivors is necessary to provide successful virtual rehabilitation.

Understanding the perceptions of virtual rehabilitation from various stakeholders may contribute to more effective provision of stroke services.Understanding unique rural practice challenges faced by clinicians may inform future protocols for virtual rehabilitation.The need for additional support for clinicians and stroke survivors is a determining factor for successful virtual rehabilitation.Incorporating virtual rehabilitation as an adjunct to face-to-face services is accepted by all stakeholders.

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.

BACKGROUND: Prior research has associated spoken language use with depression, yet studies often involve small or non-clinical samples and face challenges in the manual transcription of speech. This paper aimed to automatically identify depression-related topics in speech recordings collected from clinical samples. METHODS: The data included 3919 English free-response speech recordings collected via smartphones from 265 participants with a depression history. We transcribed speech recordings via automatic speech recognition (Whisper tool, OpenAI) and identified principal topics from transcriptions using a deep learning topic model (BERTopic). To identify depression risk topics and understand the context, we compared participants' depression severity and behavioral (extracted from wearable devices) and linguistic (extracted from transcribed texts) characteristics across identified topics. RESULTS: From the 29 topics identified, we identified 6 risk topics for depression: 'No Expectations', 'Sleep', 'Mental Therapy', 'Haircut', 'Studying', and 'Coursework'. Participants mentioning depression risk topics exhibited higher sleep variability, later sleep onset, and fewer daily steps and used fewer words, more negative language, and fewer leisure-related words in their speech recordings. LIMITATIONS: Our findings were derived from a depressed cohort with a specific speech task, potentially limiting the generalizability to non-clinical populations or other speech tasks. Additionally, some topics had small sample sizes, necessitating further validation in larger datasets. CONCLUSION: This study demonstrates that specific speech topics can indicate depression severity. The employed data-driven workflow provides a practical approach for analyzing large-scale speech data collected from real-world settings.

Effect of a Co-Located Bridging Recovery Initiative on Hospital Length of Stay Among Patients With Opioid Use Disorder: The BRIDGE Randomized Clinical Trial.

Importance: Co-located bridge clinics aim to facilitate a timely transition to outpatient care for inpatients with opioid use disorder (OUD); however, their effect on hospital length of stay (LOS) and postdischarge outcomes remains unclear. Objective: To evaluate the effect of a co-located bridge clinic on hospital LOS among inpatients with OUD. Design, Setting, and Participants: This parallel-group randomized clinical trial recruited 335 adult inpatients with OUD seen by an addiction consultation service and without an existing outpatient clinician to provide medication for OUD (MOUD) between November 25, 2019, and September 28, 2021, at a tertiary care hospital affiliated with a large academic medical center and its bridge clinic. Intervention: The bridge clinic included enhanced case management before and after hospital discharge, MOUD prescription, and referral to a co-located bridge clinic. Usual care included MOUD prescription and referrals to community health care professionals who provided MOUD. Main Outcomes and Measures: The primary outcome was the index admission LOS. Secondary outcomes, assessed at 16 weeks, were linkage to health care professionals who provided MOUD, MOUD refills, same-center emergency department (ED) and hospital use, recurrent opioid use, quality of life (measured by the Schwartz Outcome Scale-10), overdose, mortality, and cost. Analysis was performed on an intent-to-treat basis. Results: Of 335 participants recruited (167 randomized to the bridge clinic and 168 to usual care), the median age was 38.0 years (IQR, 31.9-45.7 years), and 194 (57.9%) were male. The median LOS did not differ between arms (adjusted odds ratio [AOR], 0.94 [95% CI, 0.65-1.37]; P = .74). At the 16-week follow-up, participants referred to the bridge clinic had fewer hospital-free days (AOR, 0.54 [95% CI, 0.32-0.92]), more readmissions (AOR, 2.17 [95% CI, 1.25-3.76]), and higher care costs (AOR, 2.25 [95% CI, 1.51-3.35]), with no differences in ED visits (AOR, 1.15 [95% CI, 0.68-1.94]) or deaths (AOR, 0.48 [95% CI, 0.08-2.72]) compared with those receiving usual care. Follow-up calls were completed for 88 participants (26.3%). Participants referred to the bridge clinic were more likely to receive linkage to health care professionals who provided MOUD (AOR, 2.37 [95% CI, 1.32-4.26]) and have more MOUD refills (AOR, 6.17 [95% CI, 3.69-10.30]) and less likely to experience an overdose (AOR, 0.11 [95% CI, 0.03-0.41]). Conclusions and Relevance: This randomized clinical trial found that among inpatients with OUD, bridge clinic referrals did not improve hospital LOS. Referrals may improve outpatient metrics but with higher resource use and expenditure. Bending the cost curve may require broader community and regional partnerships. Trial Registration: ClinicalTrials.gov Identifier: NCT04084392.

Introducing a Measure of Hospital Community Orientation.

Policymakers have long sought to encourage hospitals to assume a more collaborative role in improving community health. By urging hospitals to interact with community stakeholders, more integrative relationships may result that can better address local health issues. This study establishes a composite measure of hospital community orientation, defined as the extent to which a hospital uses community resources and knowledge in its community benefit (CB) work, based on an expansion of CB regulations that require nonprofit hospitals (NPHs) to develop strategies to address prioritized health issues. We collected data on each proposed intervention from 125 randomly selected NPHs over three reporting periods. Confirmatory factor analysis was used to assess how well a single-factor model approximated community orientation. We conclude that using hospital community orientation measurement is a useful metric to assess the effects of expanded CB regulations, as well as to determine how NPHs have interacted with communities over time.

Evolving Interoperability Across a State Public Health Immunization Registry and Electronic Health Records.

The critical need for system interoperability and robust information infrastructure in public health was highlighted during the COVID-19 pandemic. An assessment of the evolving interoperability between immunization information system (IIS) in a state-based public health agency and electronic health records (EHRs) including pandemic-driven evolution/use was conducted. The Minnesota Immunization Information Connection (MIIC), the IIS for Minnesota (US) supports interoperability with EHRs using HL7v2.5.1 standards-based queries. Structured interviews were conducted with 28 experts across 12 healthcare systems and public health clinics (n=286 sites) between April - July 2022. Though all reported use of MIIC, most (83%) had MIIC integration within their EHRs, and high EHR queries to MIIC (∼6 million/month), numerous organizational/technical barriers were identified including standard vaccine-naming need in EHRs, app access issues, limited resources and informatics-staff shortage in public health. Results underscore vital role of IIS, on-going interoperability evaluation to address issues and promote standards-based bi-directional EHR-IIS data exchanges.

Patients' and Clinicians' Experiences with In-person, Video, and Phone Modalities for Opioid Use Disorder Treatment: A Qualitative Study.

BACKGROUND: Opioid use disorder (OUD) is a chronic condition that requires regular visits and care continuity. Telehealth implementation has created multiple visit modalities for OUD care. There is limited knowledge of patients' and clinicians' perceptions and experiences related to multi-modality care and when different modalities might be best employed. OBJECTIVE: To identify patients' and clinicians' experiences with multiple visit modalities for OUD treatment in primary care. DESIGN: Comparative case study, using video- and telephone-based semi-structured interviews. PARTICIPANTS: Patients being treated for OUD (n = 19) and clinicians who provided OUD care (n = 15) from two primary care clinics within the same healthcare system. APPROACH: Using an inductive approach, interviews were analyzed to identify patients' and clinicians' experiences with receiving/delivering OUD care via different visit modalities. Clinicians' and patients' experiences were compared using a group analytical process. KEY RESULTS: Patients and clinicians valued having multiple modalities available for care, with flexibility identified as a key benefit. Patients highlighted the decreased burden of travel and less social anxiety with telehealth visits. Similarly, clinicians reported that telehealth decreased medical intrusion into the lives of patients stable in recovery. Patients and clinicians saw the value of in-person visits when establishing care and for patients needing additional support. In-person visits allowed the ability to conduct urine drug testing, and to foster relationships and trust building, which were more difficult, but not impossible via a telehealth visit. Patients preferred telephone over video visits, as these were more private and more convenient. Clinicians identified benefits of video, including being able to both hear and see the patient, but often deferred to patient preference. CONCLUSIONS: Considerations for utilization of visit modalities for OUD care were identified based on patients' needs and preferences, which often changed over the course of treatment. Continued research is needed determine how visit modalities impact patient outcomes.

Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial.

BACKGROUND: Multiparametric remote measurement technologies (RMTs), which comprise smartphones and wearable devices, have the potential to revolutionize understanding of the etiology and trajectory of major depressive disorder (MDD). Engagement with RMTs in MDD research is of the utmost importance for the validity of predictive analytical methods and long-term use and can be conceptualized as both objective engagement (data availability) and subjective engagement (system usability and experiential factors). Positioning the design of user interfaces within the theoretical framework of the Behavior Change Wheel can help maximize effectiveness. In-app components containing information from credible sources, visual feedback, and access to support provide an opportunity to promote engagement with RMTs while minimizing team resources. Randomized controlled trials are the gold standard in quantifying the effects of in-app components on engagement with RMTs in patients with MDD. OBJECTIVE: This study aims to evaluate whether a multiparametric RMT system with theoretically informed notifications, visual progress tracking, and access to research team contact details could promote engagement with remote symptom tracking over and above the system as usual. We hypothesized that participants using the adapted app (intervention group) would have higher engagement in symptom monitoring, as measured by objective and subjective engagement. METHODS: A 2-arm, parallel-group randomized controlled trial (participant-blinded) with 1:1 randomization was conducted with 100 participants with MDD over 12 weeks. Participants in both arms used the RADAR-base system, comprising a smartphone app for weekly symptom assessments and a wearable Fitbit device for continuous passive tracking. Participants in the intervention arm (n=50, 50%) also had access to additional in-app components. The primary outcome was objective engagement, measured as the percentage of weekly questionnaires completed during follow-up. The secondary outcomes measured subjective engagement (system engagement, system usability, and emotional self-awareness). RESULTS: The levels of completion of the Patient Health Questionnaire-8 (PHQ-8) were similar between the control (67/97, 69%) and intervention (66/97, 68%) arms (P value for the difference between the arms=.83, 95% CI -9.32 to 11.65). The intervention group participants reported slightly higher user engagement (1.93, 95% CI -1.91 to 5.78), emotional self-awareness (1.13, 95% CI -2.93 to 5.19), and system usability (2.29, 95% CI -5.93 to 10.52) scores than the control group participants at follow-up; however, all CIs were wide and included 0. Process evaluation suggested that participants saw the in-app components as helpful in increasing task completion. CONCLUSIONS: The adapted system did not increase objective or subjective engagement in remote symptom tracking in our research cohort. This study provides an important foundation for understanding engagement with RMTs for research and the methodologies by which this work can be replicated in both community and clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov NCT04972474; https://clinicaltrials.gov/ct2/show/NCT04972474. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/32653.

Health equity in pediatrics: Current concepts for the care of children in the 21st century (Dis Mon).

This is an analysis of important aspects of health equity in caring for children and adolescents written by a multidisciplinary team from different medical centers. In this discussion for clinicians, we look at definitions of pediatric health equity and the enormous impact of social determinants of health in this area. Factors involved with pediatric healthcare disparities that are considered include race, ethnicity, gender, age, poverty, socioeconomic status, LGBT status, living in rural communities, housing instability, food insecurity, access to transportation, availability of healthcare professionals, the status of education, and employment as well as immigration. Additional issues involved with health equity in pediatrics that are reviewed will include the impact of the COVID-19 pandemic, behavioral health concepts, and the negative health effects of climate change. Recommendations that are presented include reflection of one's own attitudes on as well as an understanding of these topics, consideration of the role of various healthcare providers (i.e., community health workers, peer health navigators, others), the impact of behavioral health integration, and the need for well-conceived curricula as well as multi-faceted training programs in pediatric health equity at the undergraduate and postgraduate medical education levels. Furthermore, ongoing research in pediatric health equity is needed to scrutinize current concepts and stimulate the development of ideas with an ever-greater positive influence on the health of our beloved children. Clinicians caring for children can serve as champions for the optimal health of children and their families; in addition, these healthcare professionals are uniquely positioned in their daily work to understand the drivers of health inequities and to be advocates for optimal health equity in the 21st century for all children and adolescents.

Examining the surgical stress effects (SSE) framework in practice: A qualitative assessment of perceived sources and consequences of intraoperative stress in surgical teams.

BACKGROUND: Surgical adverse events persist despite extensive improvement efforts. Emotional and behavioral responses to stressors may influence intraoperative performance, as illustrated in the surgical stress effects (SSE) framework. However, the SSE has not been assessed using "real world" data. METHODS: We conducted semi-structured interviews with all surgical team roles at one midwestern VA hospital and elicited narratives involving intraoperative stress. Two coders inductively identified codes from transcripts. The team identified themes among codes and assessed concordance with the SSE framework. RESULTS: Throughout 28 interviews, we found surgical stress was ubiquitous, associated with a variety of factors, including adverse events. Stressors often elicited frustration, anger, fear, and anxiety; behavioral reactions to negative emotions frequently were perceived to degrade individual/team performance and compromise outcomes. Narratives were consistent with the SSE framework and support adding a process outcome (efficiency) and illustrating how adverse events can feedback and acutely increase job demands and stress. CONCLUSION: This qualitative study describes narratives of intraoperative stress, finding they are consistent with the SSE while also allowing minor improvements to the current framework.

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis.

BACKGROUND: Speech contains neuromuscular, physiological and cognitive components, and so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate and pausing are associated with major depressive disorder (MDD). However, results are inconclusive as many studies are small and underpowered and do not include clinical samples. These studies have also been unilingual and use speech collected in controlled settings. If speech markers are to help understand the onset and progress of MDD, we need to uncover markers that are robust to language and establish the strength of associations in real-world data. METHODS: We collected speech data in 585 participants with a history of MDD in the United Kingdom, Spain, and Netherlands as part of the RADAR-MDD study. Participants recorded their speech via smartphones every two weeks for 18 months. Linear mixed models were used to estimate the strength of specific markers of depression from a set of 28 speech features. RESULTS: Increased depressive symptoms were associated with speech rate, articulation rate and intensity of speech elicited from a scripted task. These features had consistently stronger effect sizes than pauses. LIMITATIONS: Our findings are derived at the cohort level so may have limited impact on identifying intra-individual speech changes associated with changes in symptom severity. The analysis of features averaged over the entire recording may have underestimated the importance of some features. CONCLUSIONS: Participants with more severe depressive symptoms spoke more slowly and quietly. Our findings are from a real-world, multilingual, clinical dataset so represent a step-change in the usefulness of speech as a digital phenotype of MDD.

Development and implementation of an interoperability tool across state public health agency's disease surveillance and immunization information systems.

Public health information systems have historically been siloed with limited interoperability. The State of Minnesota's disease surveillance system (Minnesota Electronic Disease Surveillance System: MEDSS, ∼12 million total reportable events) and immunization information system (Minnesota Immunization Information Connection: MIIC, ∼130 million total immunizations) lacked interoperability between them and data exchange was fully manual. An interoperability tool based on national standards (HL7 and SOAP/web services) for query and response was developed for electronic vaccination data exchange from MIIC into MEDSS by soliciting stakeholder requirements (n = 39) and mapping MIIC vaccine codes (n = 294) to corresponding MEDSS product codes (n = 48). The tool was implemented in March 2022 and incorporates MIIC data into a new vaccination form in MEDSS with mapping of 30 data elements including MIIC demographics, vaccination history, and vaccine forecast. The tool was evaluated using mixed methods (quantitative analysis of user time, clicks, queries; qualitative review with users). Comparison of key tasks demonstrated efficiencies including vaccination data access (before: 50 clicks, >2 min; after: 4 clicks, 8 s) which translated directly to staff effort (before: 5 h/week; after: ∼17 min/week). This case study demonstrates the contribution of improving public health systems interoperability, ultimately with the goal of enhanced data-driven decision-making and public health surveillance.

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis.

BACKGROUND: Major depressive disorder (MDD) affects millions of people worldwide, but timely treatment is not often received owing in part to inaccurate subjective recall and variability in the symptom course. Objective and frequent MDD monitoring can improve subjective recall and help to guide treatment selection. Attempts have been made, with varying degrees of success, to explore the relationship between the measures of depression and passive digital phenotypes (features) extracted from smartphones and wearables devices to remotely and continuously monitor changes in symptomatology. However, a number of challenges exist for the analysis of these data. These include maintaining participant engagement over extended time periods and therefore understanding what constitutes an acceptable threshold of missing data; distinguishing between the cross-sectional and longitudinal relationships for different features to determine their utility in tracking within-individual longitudinal variation or screening individuals at high risk; and understanding the heterogeneity with which depression manifests itself in behavioral patterns quantified by the passive features. OBJECTIVE: We aimed to address these 3 challenges to inform future work in stratified analyses. METHODS: Using smartphone and wearable data collected from 479 participants with MDD, we extracted 21 features capturing mobility, sleep, and smartphone use. We investigated the impact of the number of days of available data on feature quality using the intraclass correlation coefficient and Bland-Altman analysis. We then examined the nature of the correlation between the 8-item Patient Health Questionnaire (PHQ-8) depression scale (measured every 14 days) and the features using the individual-mean correlation, repeated measures correlation, and linear mixed effects model. Furthermore, we stratified the participants based on their behavioral difference, quantified by the features, between periods of high (depression) and low (no depression) PHQ-8 scores using the Gaussian mixture model. RESULTS: We demonstrated that at least 8 (range 2-12) days were needed for reliable calculation of most of the features in the 14-day time window. We observed that features such as sleep onset time correlated better with PHQ-8 scores cross-sectionally than longitudinally, whereas features such as wakefulness after sleep onset correlated well with PHQ-8 longitudinally but worse cross-sectionally. Finally, we found that participants could be separated into 3 distinct clusters according to their behavioral difference between periods of depression and periods of no depression. CONCLUSIONS: This work contributes to our understanding of how these mobile health-derived features are associated with depression symptom severity to inform future work in stratified analyses.

Post-thrombotic syndrome and chronic thromboembolic pulmonary hypertension: diagnosis and management.

Post-thrombotic syndrome and chronic thromboembolic pulmonary hypertension are two distinct clinical syndromes associated with adverse patient outcomes following a venous thromboembolism. Clinical manifestations of post-thrombotic syndrome include persistent pain, swelling and ultimately venous ulceration following a deep venous thrombosis. Patients experiencing chronic thromboembolic pulmonary hypertension may have symptoms ranging from exertional dyspnoea to overt right heart failure. From a physician's perspective, the most effective preventative strategy is good quality anticoagulation for prophylaxis of primary and secondary venous thromboembolism. The treatment of post-thrombotic syndrome mainly involves lifestyle modifications alongside the use of elastic compression stockings while patients with chronic thromboembolic pulmonary hypertension should be offered targeted surgical and medical treatment options available at expert centres. Further research is warranted for both conditions to determine the role of direct oral anticoagulants when used with a preventive or therapeutic intent.

A general design of pyridinium-based fluorescent probes for enhancing two-photon microscopy.

Two-photon absorbing fluorescent probes have emerged as powerful imaging tools for subcellular-level monitoring of biological substances and processes, offering advantages such as deep light penetration, minimal photodamage, low autofluorescence, and high spatial resolution. However, existing two-photon absorbing probes still face several limitations, such as small two-photon absorption cross-section, poor water solubility, low membrane permeability, and potentially high toxicity. Herein, we report three small-molecule probes, namely MSP-1arm, Lyso-2arm, and Mito-3arm, composed of a pyridinium center (electron-acceptor) and various methoxystyrene "arms" (electron-donor). These probes exhibit excellent fluorescence quantum yield and decent aqueous solubility. Leveraging the inherent intramolecular charge transfer and excitonic coupling effect, these complexes demonstrate excellent two-photon absorption in the near-infrared region. Notably, Lyso-2arm and Mito-3arm exhibit distinct targeting abilities for lysosomes and mitochondria, respectively. In two-photon microscopy experiments, Mito-3arm outperforms a commercial two-photon absorbing dye in 2D monolayer HeLa cells, delivering enhanced resolution, broader NIR light excitation window, and higher signal-to-noise ratio. Moreover, the two-photon bioimaging of 3D human forebrain organoids confirms the successful deep tissue imaging capabilities of both Lyso-2arm and Mito-3arm. Overall, this work presents a rational design strategy in developing competent two-photon-absorbing probes by varying the number of conjugated "arms" for bioimaging applications.

Social Cognitive Theory, Driving Cessation, and Alternative Transportation in Later Life.

Having viable alternative transportation options could help individuals stop driving when appropriate. This study employs the Social Cognitive Theory (SCT) to understand the barriers and facilitators of alternative transportation among a sample of adults aged 55 and older (N = 32). Using a daily transportation data collection app, MyAmble, the research team asked participants questions structured around environmental, individual, and behavioral factors as outlined in the SCT framework. Responses were analyzed using directed content analysis. Findings suggest a substantial reliance on motor vehicles and it was evident that many participants had never seriously considered what they would do if they could no longer drive. We posit that SCT principles may be applied to help older adults build self-efficacy to transition to driving cessation when needed.

Implementation of a hospital-based intervention for MOUD initiation and referral to a Bridge Clinic for opioid use disorder.

INTRODUCTION: Individuals struggling with opioid use disorder (OUD) utilize the adult emergency department (ED) and psychiatric emergency department at high rates. In 2019, Vanderbilt University Medical Center created a system for individuals identified in the emergency department with OUD to transition care to a Bridge Clinic for up to three months of comprehensive behavioral health treatment, alongside primary care, infectious diseases, and pain management, regardless of their insurance status. METHODS: We conducted 20 interviews with patients enrolled in treatment in our Bridge Clinic and 13 providers in the psychiatric emergency department and emergency department. Our provider interviews focused on understanding experiences identifying people with OUD and referring them to care at the Bridge Clinic. Our patient interviews focused on understanding their experiences of care-seeking, the referral process, and their satisfaction with treatment at the Bridge Clinic. RESULTS: Our analysis generated 3 major themes around patient identification, referral, and quality of care from providers and patients. The study found general agreement between both groups around the high quality of care delivered in the Bridge Clinic compared with OUD treatment at nearby treatment facilities, specifically because it offered a stigma-free environment for the delivery of medication for addiction therapy and psychosocial support. Providers highlighted the lack of a systematic strategy for identifying people with OUD in an ED setting. They also found the referral process cumbersome because it could not be done through EPIC and there were limited patient slots available. In contrast, patients reported a smooth and simple referral from the ED to the Bridge Clinic. CONCLUSIONS: Creating a Bridge Clinic for comprehensive OUD treatment at a large university medical center has been challenging but has resulted in the creation of a comprehensive care system that prioritizes quality care. Funding to increase the number of patient slots available, coupled with an electronic system of patient referral, will increase the reach of the program to some of Nashville's most vulnerable constituents.

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.

Recent growth in digital technologies has enabled the recruitment and monitoring of large and diverse populations in remote health studies. However, the generalizability of inference drawn from remotely collected health data could be severely impacted by uneven participant engagement and attrition over the course of the study. We report findings on long-term participant retention and engagement patterns in a large multinational observational digital study for depression containing active (surveys) and passive sensor data collected via Android smartphones, and Fitbit devices from 614 participants for up to 2 years. Majority of participants (67.6%) continued to remain engaged in the study after 43 weeks. Unsupervised clustering of participants' study apps and Fitbit usage data showed 3 distinct engagement subgroups for each data stream. We found: (i) the least engaged group had the highest depression severity (4 PHQ8 points higher) across all data streams; (ii) the least engaged group (completed 4 bi-weekly surveys) took significantly longer to respond to survey notifications (3.8 h more) and were 5 years younger compared to the most engaged group (completed 20 bi-weekly surveys); and (iii) a considerable proportion (44.6%) of the participants who stopped completing surveys after 8 weeks continued to share passive Fitbit data for significantly longer (average 42 weeks). Additionally, multivariate survival models showed participants' age, ownership and brand of smartphones, and recruitment sites to be associated with retention in the study. Together these findings could inform the design of future digital health studies to enable equitable and balanced data collection from diverse populations.

Barriers, opportunities, and potential costs of expanding HIV support services.

Experiencing housing instability, food insecurity, and financial stress can negatively impact retention in care and treatment adherence for people living with HIV. Expanding services that support socioeconomic needs could help improve HIV outcomes. Our objective was to investigate barriers, opportunities, and costs of expanding socioeconomic support programs. Semi-structured interviews were conducted with organizations serving U.S. Ryan White HIV/AIDS Program clients. Costs were estimated from interviews, organization documents, and city-specific wages. Organizations reported complex patient, organization, program, and system challenges as well as several opportunities for expansion. The average one-year per-person cost for engaging new clients was $196 for transportation, $612 for financial aid, $650 for food aid, and $2498 for short-term housing (2020 USD). Understanding potential expansion costs is important for funders and local stakeholders. This study provides a sense of magnitude for costs to scale-up programs to better meet socioeconomic needs of low-income patients living with HIV.