Key Points Question How does an artificial intelligence (AI)–enabled decision aid generated using patient-reported outcome measurements compare with education only on decision quality, patient satisfaction, and functional outcomes among individuals with knee osteoarthritis considering total knee replacement? Findings This randomized clinical trial of 129 patients demonstrated statistically significant improvement in decision quality, level of shared decision-making, patient satisfaction, and functional outcomes in patients using an AI-enabled decision aid. Meaning These findings suggest that AI-enabled decision aids incorporating patient-reported outcome measurement data provide a personalized, data-driven approach to shared decision-making for the surgical management of knee osteoarthritis.

Only a small proportion of reported paediatric ZVD cases in Colombia were hospitalized or had reported neurological conditions following ZVD. However, the potential for some serious outcomes demonstrates the importance of preventing Zika virus infection in children.

Background Shoulder injury from vaccination was approved for automatic compensation from the Vaccine Injury Compensation Program (VICP)—a federal government program started in 1988 to shield the manufacturers of childhood vaccines from liability. The approval was made on the basis of case reports rather than experimental evidence. This, combined with the addition of influenza vaccination to the VICP in 2005 (which broadened coverage to include adults) and other social factors, was associated with a rapid rise in the number of claims of shoulder injury from vaccination over the last decade, which now account for more than half of all claims to the VICP. Given the high prevalence of newly symptomatic sources of shoulder pain such as rotator cuff tendinopathy, combined with the high prevalence of annual influenza vaccinations, there is a substantial risk of overlap leading to the post hoc ergo propter hoc fallacy (“after this, therefore because of this”) contributing to misdiagnosis and inappropriate management of patients that perceive injury from vaccination. Records of medical care after a large number of vaccinations have a good chance of detecting serious shoulder pathology, even it is uncommon, which would result in an increased prevalence of visits for shoulder problems and specific types of shoulder pathology. Questions/purposes Is there a difference in the proportion of visits for shoulder pain within 3 months before and after vaccination among students and faculty receiving an influenza vaccination in the shoulder? Methods We studied people who were vaccinated for influenza between 2009 and 2018 at a university health service. During the study period, a comprehensive billing database identified 24,206 influenza vaccinations administered to 12,870 people (median age 20 years, range 16-77; 57% women). We had 80% power to detect a 0.1% increase in the proportion of shoulder problems after vaccination compared with before vaccination. Visits with coded ICD-9 shoulder diagnoses were identified from the electronic medical record. We compared the proportion of shoulder evaluations within 3 months before and 3 months after vaccination. Results With the numbers available, the proportion of visits for shoulder problems were not different before (1.1% [52 of 4801]) and after vaccination (1% [40 of 3977], risk ratio 1.1 [95% CI 0.8 to 1.5]; p = 0.72). Among all vaccinations, 49% (11,834 of 24,206) were preceded or followed by an appointment within 3 months before (20% [4801 of 24,206]), after (16% [3977]), or both before and after (13% [3056]) vaccine administration, and 1.4% (170) of these visits were related to a shoulder issue. The most common reason for shoulder-related appointments was atraumatic shoulder pain (79% [134 of 170]). Conclusions Shoulder symptoms sufficient to seek care are notably common, even among relatively young adults, and are not more common after vaccination. Although this does not rule out an important rare pathology specific to vaccination, it seems important to consider the potential harms of assuming, based largely on chronology, that persistent shoulder pain after vaccination—something expected to be common based merely on the anticipated frequency of overlap of vaccination and common shoulder problems—represents harm from vaccine. Level of Evidence Level III, therapeutic study.

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Background Mental health has a notable and perhaps underappreciated relationship with symptom intensity related to musculoskeletal pathophysiology. Tools for increasing awareness of mental health opportunities may help musculoskeletal specialists identify and address psychological distress and unhealthy misconceptions with greater confidence. One such type of technology—software that identifies emotions by analyzing facial expressions—could be developed as a clinician-awareness tool. A first step in this endeavor is to conduct a pilot study to assess the ability to measure patient mental health through specialist facial expressions. Questions/purposes (1) Does quantification of clinician emotion using facial recognition software correlate with patient psychological distress and unhealthy misconceptions? (2) Is there a correlation between clinician facial expressions of emotions and a validated measure of the quality of the patient-clinician relationship? Methods In a cross-sectional pilot study, between April 2019 and July 2019, we made video recordings of the clinician’s face during 34 initial musculoskeletal specialist outpatient evaluations. There were 16 men and 18 women, all fluent and literate in English, with a mean age of 43 ± 15 years. Enrollment was performed according to available personnel, equipment, and room availability. We did not track declines, but there were only a few. Video recordings were analyzed using facial-emotional recognition software, measuring the proportion of time spent by clinicians expressing measured emotions during a consultation. After the visit, patients completed a demographic questionnaire and measures of health anxiety (the Short Health Anxiety Inventory), fear of painful movement (the Tampa Scale for Kinesiophobia), catastrophic or worst-case thinking about pain (the Pain Catastrophizing Scale), symptoms of depression (the Patient Health Questionnaire), and the patient’s perception of the quality of their relationship with the clinician (Patient-Doctor Relationship Questionnaire). Results Clinician facial expressions consistent with happiness were associated with less patient health anxiety (r = -0.59; p < 0.001) and less catastrophic thinking (r = -0.37; p = 0.03). Lower levels of clinician expressions consistent with sadness were associated with less health anxiety (r = 0.36; p = 0.04), fewer symptoms of generalized anxiety (r = 0.36; p = 0.03), and less catastrophic thinking (r = 0.33; p = 0.05). Less time expressing anger was associated with greater health anxiety (r = -0.37; p = 0.03), greater symptoms of anxiety (r = -0.46; p < 0.01), more catastrophic thinking (r = -0.38; p = 0.03), and greater symptoms of depression (r = -0.42; p = 0.01). More time expressing surprise was associated with less health anxiety (r = -0.44; p < 0.01) and symptoms of depression (r = -0.52; p < 0.01). More time expressing fear was associated with less kinesiophobia (r = -0.35; p = 0.04). More time expressing disgust was associated with less catastrophic thinking (r = -0.37; p = 0.03) and less health anxiety (GAD-2; r = -0.42; p = 0.02) and symptoms of depression (r = -0.44; p < 0.01). There was no association between a clinicians’ facial expression of emotions and patient experience with patient-clinician interactions. Conclusion The ability to measure a patient’s mindset on the clinician’s face confirms that clinicians are registering the psychological aspects of illness, whether they are consciously aware of them or not. Future research involving larger cohorts of patients, mapping clinician-patient interactions during consultation, and more sophisticated capture of nonverbal and verbal cues, including a broader range of emotional expressions, may help translate this innovation from the research setting to clinical practice. Clinical Relevance Tools for measuring emotion through facial recognition could be used to train clinicians to become aware of the psychological aspects of health and to coach clinicians on effective communication strategies both for gentle reorientation of common misconceptions as well as for appropriate and timely diagnosis and treatment of psychological distress.

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Background:The Physician Payments Sunshine Act of 2010 mandated that all industry payments to physicians be publicly disclosed. To date, industry support of plastic surgeons has not been longitudinally characterized. The authors seek to evaluate payment trends from 2013 to 2018 and characteristics across plastic surgeon recipients of industry payments. Methods: The authors cross-referenced those in the 2019 American Society of Plastic Surgeons member database with Centers for Medicare & Medicaid Services Open Payments database physician profile identification number indicating industry funds received within the study period. We categorized surgeons by years since American Board of Plastic Surgery certification, practice region, and academic affiliation. Results: A sum of $89,436,100 (247,614 payments) was received by 3855 plastic surgeons. The top 1 percent of earners (n = 39) by dollar amount received 52 percent of industry dollars to plastic surgeons; of these, nine (23 percent) were academic. Overall, 428 surgeons (11 percent) were academic and received comparable dollar amounts from industry as their nonacademic counterparts. Neither geographic location nor years of experience were independent predictors of payments received. The majority of individual transactions were for food and beverage, whereas the majority of industry dollars were typically for royalties or license. Conclusions: Over half of all industry dollars transferred went to just 1 percent of American Society of Plastic Surgeons members receiving payments between 2013 and 2018. Considerable heterogeneity exists when accounting for payment subcategories.

Introduction: Orofacial clefts (OFC) are the most common congenital craniofacial anomaly. The relationship between intermarriage (consanguinity) and positive family history for OFC is not well described. Consanguinity rates in developed countries are <1% but are considerably higher in the Middle East (45%). Familial clefting rates in developed countries are under 20% but in the Middle East are reported at 30% or higher. Objective: To determine OFC demographics and to clarify the relationship between consanguinity and familial clefting among Palestinians. Design: The Palestinian Congenial Anomalies Database is based on a 700-question survey administered to mothers of children with congenital anomalies. Orofacial clefts were diagnosed in 540 children. All demographic data were analyzed using χ2 tests with a level of significance at α < .05. Results: Demographics for OFC among Palestinians were similar to other published reports. Overall consanguinity rate was 53% and familial clefting rate was 49%. Parental rates of consanguinity were significantly different for patients with cleft palate. Patients with consanguineous parents had a higher rate of positive family history of clefting (67%). Recurrence of clefts in siblings was significantly higher among those born to consanguineous parents (73%) when compared to nonconsanguineous parents. Conclusion: Consanguinity rates for Palestinians with OFC were higher than those reported in the Middle East. Familial clefting and sibling recurrence rates were also higher than expected. The risk of OFC may be mitigated with improved education about anticipated genetic consequences of consanguinity in high-risk populations such as the southern West Bank.