The first 72 hours: Suicide loss survivor experiences with early responders.

Exposure to a suicide carries risks for loss survivors including significant and long-standing emotional distress. Early responders play a critical role in shaping survivors' experience and trajectory for seeking support services. Yet, few prior studies explore the nuances of early responders' interactions with loss survivors. The current study explored suicide-bereaved adults' experiences with early responders in the first 72 h after their loss through four group interviews. Participants (N = 15) indicated that interactions with early responders were positive overall. Yet, the lack of resources and referrals provided, and perceived stigmatization of suicide may contribute to survivors' delay in obtaining support services.

Automated identification and assignment of colonoscopy surveillance recommendations for individuals with colorectal polyps.

BACKGROUND AND AIMS: Determining surveillance intervals for patients with colorectal polyps is critical but time-consuming and challenging to do reliably. We present the development and assessment of a pipeline that leverages natural language processing techniques to automatically extract and analyze relevant polyp findings from free-text colonoscopy and pathology reports. Using this information, we categorized individual patients into 6 postcolonoscopy surveillance intervals defined by the U.S. Multi-Society Task Force on Colorectal Cancer. METHODS: Using a set of 546 randomly selected colonoscopy and pathology reports from 324 patients in a single health system, we used a combination of statistical classifiers and rule-based methods to extract polyp properties from each report type, associate properties with unique polyps, and classify a patient into 1 of 6 risk categories by integrating information from both report types. We then assessed the pipeline's performance by determining the positive predictive value (PPV), sensitivity, and F-score of the algorithm, compared with the determination of surveillance intervals by a gastroenterologist. RESULTS: The pipeline was developed using 346 reports (224 colonoscopy and 122 pathology) from 224 patients and evaluated on an independent test set of 200 reports (100 colonoscopy and 100 pathology) from 100 patients. We achieved an average PPV, sensitivity, and F-score of .92, .95, and .93, respectively, across targeted entities for colonoscopy. Pathology extraction achieved a PPV, sensitivity, and F-score of .95, .97, and .96. The system achieved an overall accuracy of 92% in assigning the recommended interval for surveillance colonoscopy. CONCLUSIONS: This study demonstrates the feasibility of using machine learning to automatically extract findings and classify patients to appropriate risk categories and corresponding surveillance intervals. Incorporating this system can facilitate proactive and timely follow-up after screening colonoscopy and enable real-time quality assessment of prevention programs and providers.

Machine learning-based automated phenotyping of inflammatory nocifensive behavior in mice.

The discovery and development of new and potentially nonaddictive pain therapeutics requires rapid, yet clinically relevant assays of nociception in preclinical models. A reliable and scalable automated scoring system for nocifensive behavior of mice in the formalin assay would dramatically lower the time and labor costs associated with experiments and reduce experimental variability. Here, we present a method that exploits machine learning techniques for video recordings that consists of three components: key point detection, per frame feature extraction using these key points, and classification of behavior using the GentleBoost algorithm. This approach to automation is flexible as different model classifiers or key points can be used with only small losses in accuracy. The adopted system identified the behavior of licking/biting of the hind paw with an accuracy that was comparable to a human observer (98% agreement) over 111 different short videos (total 284 min) at a resolution of 1 s. To test the system over longer experimental conditions, the responses of two inbred strains, C57BL/6NJ and C57BL/6J, were recorded over 90 min post formalin challenge. The automated system easily scored over 80 h of video and revealed strain differences in both response timing and amplitude. This machine learning scoring system provides the required accuracy, consistency, and ease of use that could make the formalin assay a feasible choice for large-scale genetic studies.

National Referral and Treatment Patterns Among Mental Health Pediatric Primary Care Visits.

The current study explored factors that predict referral from pediatric primary care to mental health specialty care among a nationally representative sample of visits (N = 2056). Results of a logistic regression indicated that patient visits that included rarer/serious diagnoses (e.g., bipolar disorder) were more likely to receive a referral in comparison to those with ADHD (OR = 4.75, SE = 1.37). Other characteristics associated with increased likelihood of referral were those with comorbid mental health conditions (OR = 2.20, SE = 0.84) and those from a metropolitan area (OR = 2.23, SE = 0.75). Implications are discussed.

Achieving Mental Health and Substance Use Disorder Treatment Parity: A Quarter Century of Policy Making and Research.

The Mental Health Parity and Addiction Equity Act (MHPAEA) of 2008 changed the landscape of mental health and substance use disorder coverage in the United States. The MHPAEA's comprehensiveness compared with past parity laws, including its extension of parity to plan management strategies, the so-called nonquantitative treatment limitations (NQTL), led to significant improvements in mental health care coverage. In this article, we review the history of this landmark legislation and its recent expansions to new populations, describe past research on the effects of this and other mental health/substance use disorder parity laws, and describe some directions for future research, including NQTL compliance issues, effects of parity on individuals with severe mental illness, and measurement of benefits other than mental health care use.

The Short Health Scale: A Simple, Valid, Reliable, and Responsive Way of Measuring Subjective Health in Patients With Irritable Bowel Syndrome.

GOALS: To evaluate validity, reliability, and responsiveness of the Short Health Scale (SHS) in irritable bowel syndrome (IBS) patients. BACKGROUND: Subjective health assessment is central when treating patients with IBS. The "Short Health Scale" is a quick 4-item questionnaire covering most aspects of subjective health that has been validated for inflammatory bowel disease. STUDY: To test validity, 451 patients with IBS (mean age, 38 y; 81% females) completed the SHS and questionnaires assessing IBS symptom severity (IBS-SSS), gastrointestinal (GI)-specific anxiety (VSI), and quality of life (IBSQOL). To evaluate reliability and responsiveness to changes, the questionnaires were repeated after 2 weeks in 18 patients, and after 12 weeks in 212 patients who had completed a patient-education program. RESULTS: Validity was documented with (1) gradually increasing mean scores for all 4 SHS items with increasing IBS-SSS (P<0.0001), and (2) correlations between the 4 SHS items and the corresponding items from the other subjective health assessment tools [item 1 (symptom burden): ρ=0.67, item 2 (daily function): ρ=-0.44 to -0.46, item 3 (disease-related worry): ρ=-0.51 to 0.57, item 4 (general well-being): ρ=-0.34 to -0.46, P<0.0001]. Reliability was confirmed (Spearman ρ>0.7 and intraclass correlations >0.7). Responsiveness was good with responders to the patient-education program (IBS-SSS reduction ≥50 points) having significant reductions in 3 of the SHS items (P<0.05), and borderline change for the fourth SHS item (P=0.06). CONCLUSIONS: SHS is a health measure that shows promising evidence of validity, reliability, and responsiveness in IBS patients. It is quickly completed and evaluated, which supports its usefulness in the busy clinical practice.

Management of fingertip amputations.

Injuries to the fingertips are among the most common injuries to the hand and result in approximately 4.8 million emergency department visits per year. Most injuries are lacerations or crushes; amputations represent a small but complex spectrum of injury. Treatments available cover a broad range of techniques with no single recommended reference standard for treatment. Although there is no consensus on how these injuries should be treated, the goals of treatment should include minimization of pain, optimization of healing time, preservation of sensibility and length, prevention of painful neuromas, avoidance or limiting of nail deformity, minimization of time lost from work, and provision of an acceptable cosmetic appearance. In this review we present a variety of options in caring for these injuries to help achieve these goals, and the available data that support the various treatment plans.

Identifying genetic determinants of inflammatory pain in mice using a large-scale gene-targeted screen.

ABSTRACT: Identifying the genetic determinants of pain is a scientific imperative given the magnitude of the global health burden that pain causes. Here, we report a genetic screen for nociception, performed under the auspices of the International Mouse Phenotyping Consortium. A biased set of 110 single-gene knockout mouse strains was screened for 1 or more nociception and hypersensitivity assays, including chemical nociception (formalin) and mechanical and thermal nociception (von Frey filaments and Hargreaves tests, respectively), with or without an inflammatory agent (complete Freund's adjuvant). We identified 13 single-gene knockout strains with altered nocifensive behavior in 1 or more assays. All these novel mouse models are openly available to the scientific community to study gene function. Two of the 13 genes (Gria1 and Htr3a) have been previously reported with nociception-related phenotypes in genetically engineered mouse strains and represent useful benchmarking standards. One of the 13 genes (Cnrip1) is known from human studies to play a role in pain modulation and the knockout mouse reported herein can be used to explore this function further. The remaining 10 genes (Abhd13, Alg6, BC048562, Cgnl1, Cp, Mmp16, Oxa1l, Tecpr2, Trim14, and Trim2) reveal novel pathways involved in nociception and may provide new knowledge to better understand genetic mechanisms of inflammatory pain and to serve as models for therapeutic target validation and drug development.

Pediatric primary care providers' reported likelihood to refer to mental health specialists.

INTRODUCTION: Pediatric primary care providers (PPCPs) play an increasingly important role in addressing mental health concerns. Yet PPCPs are limited in the services they can provide because of constraints in training, time, and reimbursement. Whereas some patients may be appropriately treated in primary care, others require referrals to mental health specialists. The current study evaluated patient, clinician, and situational factors associated with PPCPS' reported likelihood to refer hypothetical patients with mental health concerns to mental health specialists. METHOD: The sample included 106 PPCPs from Massachusetts and Indiana who read one of two vignettes of hypothetical patients (one with symptoms of attention-deficit hyperactivity disorder (ADHD) and one with symptoms of depression) and then completed surveys regarding patient diagnosis and treatment decisions. RESULTS: Results indicated that PPCPs who read the depression vignette were significantly more likely to report intentions to refer the patient to a mental health specialist than those who read the ADHD vignette as were PPCPs with less confidence in treating mental health concerns. PPCPs who read the depression vignette were also more likely to report intentions to refer to psychologists and social workers as opposed to PPCPs who read the ADHD vignette, who reported intentions to refer to psychiatrists. Training in developmental and behavioral pediatrics was not related to reported likelihood of referring. CONCLUSION: These findings illuminate potential areas for future research on referral patterns from primary care to mental health specialists. (PsycINFO Database Record