The Virtual Doctor Is In: The Effect of Telehealth Visits on Patient Experience

COVID-19 has accelerated the adoption of telehealth. With this shift comes a need for empirically based research regarding the effect of telehealth on patient experience. The present study employed an online survey (N = 996) examining whether a patient's perceptions of a telehealth visit predict the likelihood that they will schedule a future telehealth visit, and their recall of clinical information. Participants viewed a video of a real clinician delivering information on a COVID-19 antibody test, and responded to demographic, socioemotional, and cognitive items. We found that individuals who were extremely satisfied with their interaction with the doctor, for every 1-point increase in satisfaction, they were 72.5% times more likely to revisit the doctor (p < .01). These results also provide insight to researchers and medical professionals regarding patient perceptions of virtual encounters and suggest best practices to consider as we further integrate telehealth

Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders

Background: There is a critical need for real-time tracking of behavioral indicators of mental disorders. Mobile sensing platforms that objectively and noninvasively collect, store, and analyze behavioral indicators have not yet been clinically validated or scalable. Objective: The aim of our study was to report on models of clinical symptoms for post-traumatic stress disorder (PTSD) and depression derived from a scalable mobile sensing platform. Methods: A total of 73 participants (67% [49/73] male, 48% [35/73] non-Hispanic white, 33% [24/73] veteran status) who reported at least one symptom of PTSD or depression completed a 12-week field trial. Behavioral indicators were collected through the noninvasive mobile sensing platform on participants’ mobile phones. Clinical symptoms were measured through validated clinical interviews with a licensed clinical social worker. A combination hypothesis and data-driven approach was used to derive key features for modeling symptoms, including the sum of outgoing calls, count of unique numbers texted, absolute distance traveled, dynamic variation of the voice, speaking rate, and voice quality. Participants also reported ease of use and data sharing concerns. Results: Behavioral indicators predicted clinically assessed symptoms of depression and PTSD (cross-validated area under the curve [AUC] for depressed mood=.74, fatigue=.56, interest in activities=.75, and social connectedness=.83). Participants reported comfort sharing individual data with physicians (Mean 3.08, SD 1.22), mental health providers (Mean 3.25, SD 1.39), and medical researchers (Mean 3.03, SD 1.36). Conclusions: Behavioral indicators passively collected through a mobile sensing platform predicted symptoms of depression and PTSD. The use of mobile sensing platforms can provide clinically validated behavioral indicators in real time; however, further validation of these models and this platform in large clinical samples is needed.United States. Defense Advanced Research Projects Agency (contract N66001-11-C-4094

Reliability and Validity of Nonverbal Thin Slices in Social Interactions

Four studies investigated the reliability and validity of thin slices of nonverbal behavior from social interactions including (a) how well individual slices of a given behavior predict other slices in the same interaction; (b) how well a slice of a given behavior represents the entirety of that behavior within an interaction; (c) how long a slice is necessary to sufficiently represent the entirety of a behavior within an interaction; (d) which slices best capture the entirety of behavior, across different behaviors; and (e) which behaviors (of six measured behaviors) are best captured by slices. Notable findings included strong reliability and validity for thin slices of gaze and nods, and that a 1.5-min slice from the start of an interaction may adequately represent some behaviors. Results provide useful information to researchers making decisions about slice measurement of behavior

Can medical students accurately predict their learning? A study comparing perceived and actual performance in neuroanatomy

It is important that clinicians are able to adequately assess their level of knowledge and competence in order to be safe practitioners of medicine. The medical literature contains numerous examples of poor self-assessment accuracy amongst medical students over a range of subjects however this ability in neuroanatomy has yet to be observed. Second year medical students attending neuroanatomy revision sessions at the University of Southampton and the competitors of the National Undergraduate Neuroanatomy Competition were asked to rate their level of knowledge in neuroanatomy. The responses from the former group were compared to performance on a ten item multiple choice question examination and the latter group were compared to their performance within the competition. In both cohorts, self-assessments of perceived level of knowledge correlated weakly to their performance in their respective objective knowledge assessments (r = 0.30 and r = 0.44). Within the NUNC, this correlation improved when students were instead asked to rate their performance on a specific examination within the competition (spotter, rS = 0.68; MCQ, rS = 0.58). Despite its inherent difficulty, medical student self-assessment accuracy in neuroanatomy is comparable to other subjects within the medical curriculum. Anat Sci Educ. (c) 2016 American Association of Anatomists

Investigating the influence of African American and African Caribbean race on primary care doctors' decision making about depression

This paper explores differences in how primary care doctors process the clinical presentation of depression by African American and African-Caribbean patients compared with white patients in the US and the UK. The aim is to gain a better understanding of possible pathways by which racial disparities arise in depression care. One hundred and eight doctors described their thought processes after viewing video recorded simulated patients presenting with identical symptoms strongly suggestive of depression. These descriptions were analysed using the CliniClass system, which captures information about micro-components of clinical decision making and permits a systematic, structured and detailed analysis of how doctors arrive at diagnostic, intervention and management decisions. Video recordings of actors portraying black (both African American and African-Caribbean) and white (both White American and White British) male and female patients (aged 55 years and 75 years) were presented to doctors randomly selected from the Massachusetts Medical Society list and from Surrey/South West London and West Midlands National Health Service lists, stratified by country (US v.UK), gender, and years of clinical experience (less v. very experienced). Findings demonstrated little evidence of bias affecting doctors' decision making processes, with the exception of less attention being paid to the potential outcomes associated with different treatment options for African American compared with White American patients in the US. Instead, findings suggest greater clinical uncertainty in diagnosing depression amongst black compared with white patients, particularly in the UK. This was evident in more potential diagnoses. There was also a tendency for doctors in both countries to focus more on black patients' physical rather than psychological symptoms and to identify endocrine problems, most often diabetes, as a presenting complaint for them. This suggests that doctors in both countries have a less well developed mental model of depression for black compared with white patients

Patient, general practitioner and oncologist views regarding long-term cancer shared care

Background: The rising incidence of cancer and increasing number of cancer survivors place competing demands on specialist oncology clinics. This has led to a need to consider collaborative care between primary and secondary care for the long-term post-treatment care of cancer survivors. Objective: To explore the views of breast and colorectal cancer survivors, their oncologist and GP about GPs taking a more active role in long-term cancer follow-up care. Methods: Semi-structured interviews using a thematic analysis framework. Respondents were asked their views on the specialist hospital-based model for cancer follow-up care and their views on their GP taking a greater or leading role in follow-up care. Researcher triangulation was used to refine the coding framework and emergent themes; source triangulation and participant validation were used to increase credibility. Results: Fifty-six interviews were conducted (22 patients, 16 oncologists, 18 GPs). Respondents highlighted the importance of GPs needing specialist cancer knowledge; the need for GPs to have an interest in and time for cancer follow-up care; the GPs role in providing psychosocial care; and the reassurance that was provided from a specialist overseeing care. A staged, shared care team arrangement with both GPs and specialists flexibly providing continuing care was found to be acceptable for most. Conclusion: Collaborative care of cancer survivors may lessen the load on specialist oncology clinics. The findings suggest that building this model will require early and ongoing shared care processes

Survivorship and improving quality of life in men with prostate cancer

Context: Long-term survival following a diagnosis of cancer is improving in developed nations. However, living longer does not necessarily equate to living well. Objective: To search systematically and synthesise narratively the evidence from randomised controlled trials (RCTs) of supportive interventions designed to improve prostate cancer (PCa)-specific quality of life (QoL). Evidence acquisition: A systematic search of Medline and Embase was carried out from inception to July 2014 to identify interventions targeting PCa QoL outcomes. We did not include nonrandomised studies or trials of mixed cancer groups. In addition to database searches, citations from included papers were hand-searched for any potentially eligible trials. Evidence synthesis: A total of 2654 PCa survivors from 20 eligible RCTs were identified from our database searches and reference checks. Disease-specific QoL was assessed most frequently by the Functional Assessment of Cancer Therapy-Prostate questionnaire. Included studies involved men across all stages of disease. Supportive interventions that featured individually tailored approaches and supportive interaction with dedicated staff produced the most convincing evidence of a benefit for PCa-specific QoL. Much of these data come from lifestyle interventions. Our review found little supportive evidence for simple literature provision (either in booklets or via online platforms) or cognitive behavioural approaches. Conclusions: Physical and psychological health problems can have a serious negative impact on QoL in PCa survivors. Individually tailored supportive interventions such as exercise prescription/referral should be considered by multidisciplinary clinical teams where available. Cost-effectiveness data and an understanding of how to sustain benefits over the long term are important areas for future research. Patient summary: This review of supportive interventions for improving quality of life in prostate cancer survivors found that supervised and individually tailored patient-centred interventions such as lifestyle programmes are of benefit.</p