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Background: The North Carolina Community Research Partnership developed, implemented, and tested "weCare," a 12-month bilingual mHealth social media intervention designed to reduce missed HIV care appointments and increase viral suppression among racially/ethnically diverse gay, bisexual, and other men who have sex with men (GBMSM) and transgender women living with HIV by harnessing established social media platforms (i.e., Facebook, texting, and dating apps). Methods: We randomized 198 GBMSM and transgender women (mean age = 26) living with HIV to the "weCare" intervention (n = 100) or usual-care (n = 98) group. Inclusion criteria included being newly diagnosed or not in care. Participants completed structured assessments at baseline and 6-month postintervention follow-up (18 months after baseline data collection). HIV care appointment and viral load data were abstracted from each participant's electronic health record at baseline and follow-up. Follow-up retention was 85.5%. Results: Among participants, 94% self-identified as cisgender men, 6% as transgender, 64% as African American/Black, and 13% as Latine. Participants in both groups significantly reduced missed HIV care appointments and increased viral suppression at follow-up compared with baseline. However, there were no significant differences between weCare and usual-care participants for either outcome at follow-up. Conclusions: An intervention effect was not identified for our two primary outcomes. Several factors may have influenced the lack of significant differences between "weCare" and usual-care participants at follow-up, including intervention implementation (e.g., staffing changes and lack of fidelity to the intervention as originally designed by the partnership), data collection (e.g., data collection time points and retention strategies), and clinical (e.g., contamination) factors.

THE INNOVATION Based on safety and efficacy, mifepristone and misoprostol together remain the standard for medical management of early pregnancy loss (EPL) and first trimester abortion. (1,2) While misoprostol is [...]

Previous suicide attempts, psychopathology symptoms, and pain significantly increase risk of suicide, a leading cause of death. It is possible that patients across these three groups exhibit key differences that could provide insights into unique interventions for suicide-related outcomes. Data were collected using a standardized form at 432 emergency departments (EDs; 14,018 participants [females, n = 8,042; 57.4%; males, n = 5,976; 42.6%]). We conducted a series of ANOVAs to investigate if patients presenting for (1) suicide attempts (n = 33; 0.2%), (2) psychopathology symptoms (n = 1,104; 7.9%), or (3) pain (n = 12,881; 91.9%) varied across a variety of healthcare-relevant variables. Findings indicated that patients presenting with suicide attempts were seen with more urgency (F[2,12054] = 66.41, p <.001) and were more likely to be admitted to hospitalization (F[2,14015] = 187.296, p <.001), observation unit overall (F[2,14015] = 78.572, p <.001), or transferred to another hospital (F[2,14015] = 406.568, p <.001); they also required longer visits (F [2, 12054] = 66.41, p <.001) as compared to patients with psychopathology symptoms or pain. Notably, potentially important similarities between groups emerged: groups did not differ across leaving without medical screening, leaving against medical advice, or contact with healthcare providers in the long-term (i.e., twelve months) or short-term (i.e., 72 hours) preceding ED admission. These findings in particular indicate that there could be ample time (1) prior to admission to intervene and (2) during care in EDs to connect patients to goal-oriented, time-limited evidence based psychotherapies at a time when they may be particularly willing to engage in care. [ABSTRACT FROM AUTHOR]

Background and ObjectivesDesignMethodsResultsConclusionsSuicidal ideation (SI) during the postpartum phase is linked with suicide, a leading cause of death during this period. Antenatal depression and anxiety symptoms have both been linked with increased risk for postpartum SI. However, research aimed at examining the relative contributions of antenatal anxiety and depression symptoms towards postpartum SI remains nascent. In this study, we investigated the relative contribution of antenatal anxiety symptoms, depression symptoms, and SI towards postpartum SI.These data are from a longitudinal study in which American mothers were assessed during pregnancy and again at six- to eight weeks postpartum.Data were analyzed using correlations and logistic regression models.Antenatal anxiety symptoms and antenatal depression symptoms were significantly correlated with postpartum SI. Results from a logistic regression model indicated that antenatal anxiety symptoms (T1; OR = 1.185 [1.125, 1.245], p = .004), but not antenatal depression symptoms (T1; OR = 1.018 [0.943, 1.093], p = .812) or antenatal SI (T1; OR = 1.58 [0.11, 22.29], p = 0.73), were significantly associated with postpartum SI.Antenatal anxiety symptoms, depression symptoms, and SI were positively associated with postpartum SI. When examined simultaneously, anxiety symptoms during the antenatal phase (but not depression symptoms or SI) predicted SI in the postpartum phase. [ABSTRACT FROM AUTHOR]

Traumatic events are a serious public health concern, linked cross-sectionally and longitudinally with post-traumatic stress disorder (PTSD) and suicidal ideation (SI). While much research has focused on broadly defined traumatic events as they relate to PTSD and SI, fewer projects have investigated the disparate associations that specific traumatic events have with PTSD and SI. In this study of 1,829 adolescents held at the Cook County Juvenile Temporary Detention Center (measured during adolescence and again nine years later during adulthood), the cross-sectional and prospective links between various traumatic events (i.e. being physically assaulted, threatened with a weapon, sexually assaulted, in a serious accident, seeing someone be killed, experiencing a natural disaster, seeing a dead body, or being forced to fight), PTSD symptoms, and SI were investigated. Findings indicate that every traumatic event endorsed at baseline was cross-sectionally associated with increased PTSD symptoms and SI. Experiencing sexual assault or a serious accident during adolescence predicted greater SI at follow-up. Moreover, the positive association between PTSD symptoms at baseline and SI at follow-up was stronger among individuals who experienced sexual assault or a serious accident versus those who were not trauma exposed. Implications for justice-involved adolescents are discussed. [ABSTRACT FROM AUTHOR]

For 5 years, our family medicine clinic's physician-pharmacy team managed anticoagulation onsite. Now, against our recommendations and desires as a clinic, anticoagulation at our site is no longer managed by our local interdisciplinary team. Instead, it is being managed by our system's centralized anticoagulation team. Although some may point out that anticoagulation management is one small element of our practice, we believe eliminating this could open the door to other changes to our scope of practice. Anticoagulation belongs in primary care where comprehensive care, ongoing relationships between patients and care teams, and flexible office visit agendas optimize this service. Key words: anticoagulation; family practice; patient-centered care; patient care team; integrated health care delivery, Management of anticoagulation belongs in primary care. Family medicine physicians and pharmacists provide comprehensive, whole-person care. Family physicians are dedicated to the whole person and serve as guides to define [...]

The present study directly compared three perspectives of suicidality: Interpersonal Theory of Suicide (IPTS), Hopelessness Theory, and a perspective emphasizing emotion dysregulation. 219 adults seeking outpatient psychological services completed questionnaires during intake between November 2015 and February 2019. Patients were included if they completed surveys related to thwarted belongingness (TB), perceived burdensomeness (PB), hopelessness, depressive symptoms, negative affect, and Borderline Personality Disorder (BPD) symptoms. Analyses tested the ability of TB, PB, depressive symptoms, hopelessness, and emotion dysregulation to relate to total scores on Beck Scale for Suicide Ideation. We employed Pearson's correlations and linear regressions to investigate these relations. Constructs related to emotion dysregulation—negative affect (r = 0.161, p <.05) and Borderline Personality Disorder symptoms (r = 0.284, p <.01)—were significantly correlated with suicidal ideation, as were those relevant to Hopelessness Theory—depressive symptoms (r = 0.46, p <.01) and hopelessness (r = 0.45, p <.01)— and IPTS—TB (r = 0.36, p <.01) and PB (r = 0.43, p <.01). Notably the combinations of constructs as proposed by theories were significantly associated with suicidal ideation, but did not improve upon single constructs. This indicated that theoretically relevant constructs alone were strongly associated with suicidal ideation, but were not bested by interactions. This project compared constructs relevant to three theories of suicidality among a sample of treatment seeking outpatients. Findings indicated that suicidal ideation assessment was similarly informed by Hopelessness Theory and IPTS, and to a lesser degree emotion dysregulation. The cross sectional nature of the data and the reliance upon self-report measures limit the inferences that can be made. [ABSTRACT FROM AUTHOR]

Suicide is the tenth leading cause of death in America. Particularly at risk, Veterans are 1.5 times more likely to die by suicide than non-Veterans, and the suicide rate among service members has risen over the last decade. In the present study, we (1) assessed risk factors for suicidal ideation, suicide attempts, and suicide death within and between Veterans and service members, (2) identified the most commonly studied and (3) the strongest risk factors for suicide-related outcomes among Veterans and service members, and (4) compared overall and risk factor-specific meta-analytic prediction of suicide-related outcomes in Veterans and service members, as determined in the present meta-analysis, to that of the general population. Authors harvested longitudinal effects predicting suicidal ideation, suicide attempts, or suicide deaths in Veterans or service members until May 1, 2020. Traumatic Brain Injury, substance/alcohol use disorders, prior Self-Injurious Thoughts and Behavior, PTSD, and depressive symptoms were among the most commonly studied risk factors. Anger/aggression was particularly strong risk factors, providing a source for future study and intervention efforts. When combined, risk factors conferred similar risk for suicide attempts and suicide death among Veterans, service members, and the general population. However, when analyzing p-values, factors conferred significantly more risk of suicidal ideation among Veterans and service members as compared to the general population. That is, p-values for risk factors were lower in an absolute sense but not necessarily to a statistically significant degree. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to investigate the impact of enhancing a structured-data-based suicide attempt risk prediction model with temporal Concept Unique Identifiers (CUIs) derived from clinical notes. We aimed to examine how different temporal schemes, model types, and prediction ranges influenced the model's predictive performance. This research sought to improve our understanding of how the integration of temporal information and clinical variable transformation could enhance model predictions., Materials and Methods: We identified modeling targets using diagnostic codes for suicide attempts within 30, 90, or 365 days following a temporally grouped visit cluster. Structured data included medications, diagnoses, procedures, and demographics, while unstructured data consisted of terms extracted with regular expressions from clinical notes. We compared models trained only on structured data (controls) to hybrid models trained on both structured and unstructured data. We used two temporalization schemes for clinical notes: fixed 90-day windows and flexible epochs. We trained and assessed random forests and hybrid LSTM neural networks using AUPRC and AUROC, with additional evaluation of sensitivity and PPV at 95% specificity., Results: The training set included 2,364,183 visit clusters with 2,009 30-day suicide attempts, and the testing set contained 471,936 visit clusters with 480 suicide attempts. Models trained with temporal CUIs outperformed those trained with only structured data. The window-temporalized LSTM model achieved the highest AUPRC (0.056 ± 0.013) for the 30-day prediction range. Hybrid models generally showed better performance compared to controls across most metrics., Discussion and Conclusion: This study demonstrated that incorporating EHR-derived clinical note features enhanced suicide attempt risk prediction models, particularly with window-temporalized LSTM models. Our results underscored the critical value of unstructured data in suicidality prediction, aligning with previous findings. Future research should focus on integrating more sophisticated methods to continue improving prediction accuracy, which will enhance the effectiveness of future intervention., Competing Interests: The authors declare that they have no conflict of interest., (Thieme. All rights reserved.)

Objectives: To describe the impact of a standardized opioid prescribing intervention when implemented in three family medicine (FM) residency training - clinics-environments that face operational challenges including regular resident turnover., Design: We performed a retrospective cohort study to compare patterns of long-term opioid prescribing between residency and nonresidency clinics., Setting: This study took place within a large, academic, health system., Patients and Participants: Three FM residency clinics were compared with three nonresidency FM clinics., Interventions: A standardized opioid prescribing process was developed and implemented within the FM residency clinics. Nonresidency clinics used an independent process and were not exposed to the intervention., Main Outcome Measures: Descriptive comparisons were performed for treatment and control clinics' opioid prescribing from 2015 to 2018. The primary outcome was a patient's annual opioid exposure supplied from these select clinics. We also examine coprescribing with high-risk medications that potentiate the overdose risk of opioid prescriptions. Difference-in-difference modeling was used to control for clinic-level variation in practice., Results: Statistically significant decreases were observed in both residency and nonresidency clinics for the mean number of opioid prescriptions and the mean daily morphine milligram equivalent. These decreases were comparable between the residency and nonresidency clinics., Conclusions: Residency clinics face unique challenges and require innovative solutions to keep up with best practices in opioid prescribing. Our residency clinics' implementation of a standardized intervention, including electronic health record integration, standardized processes, and metric management, suggests steps that may be valuable in achieving outcomes comparable to nonresidency clinics in large health systems.