Use of intensive longitudinal methods (e.g. ecological momentary assessment, passive sensing) and machine learning (ML) models to predict risk for depression and suicide has increased in recent years. However, these studies often vary considerably in length, ML methods used, and sources of data. The present study examined predictive accuracy for depression and suicidal ideation (SI) as a function of time, comparing different combinations of ML methods and data sources.

Participants were 2459 first-year training physicians (55.1% female; 52.5% White) who were provided with Fitbit wearable devices and assessed daily for mood. Linear [elastic net regression (ENR)] and non-linear (random forest) ML algorithms were used to predict depression and SI at the first-quarter follow-up assessment, using two sets of variables (daily mood features only, daily mood features + passive-sensing features). To assess accuracy over time, models were estimated iteratively for each of the first 92 days of internship, using data available up to that point in time.

ENRs using only the daily mood features generally had the best accuracy for predicting mental health outcomes, and predictive accuracy within 1 standard error of the full 92 day models was attained by weeks 7–8. Depression at 92 days could be predicted accurately (area under the curve >0.70) after only 14 days of data collection.

Simpler ML methods may outperform more complex methods until passive-sensing features become better specified. For intensive longitudinal studies, there may be limited predictive value in collecting data for more than 2 months.

To assess association of pharmacist gender with acceptance of antibiotic stewardship recommendations.

A retrospective evaluation of the Reducing Overuse of Antibiotics at Discharge (ROAD) Home intervention.

The study was conducted from May to October 2019 in a single academic medical center.

The study included patients receiving antibiotics on a hospitalist service who were nearing discharge.

During the intervention, clinical pharmacists (none who had specialist postgraduate infectious disease residency training) reviewed patients on antibiotics and led an antibiotic timeout (ie, structured conversation) prior to discharge to improve discharge antibiotic prescribing. We assessed the association of pharmacist gender with acceptance of timeout recommendations by hospitalists using logistic regression controlling for patient characteristics.

Over 6 months, pharmacists conducted 295 timeouts: 158 timeouts (53.6%) were conducted by 12 women, 137 (46.4%) were conducted by 8 men. Pharmacists recommended an antibiotic change in 82 timeouts (27.8%), of which 51 (62.2%) were accepted. Compared to male pharmacists, female pharmacists were less likely to recommend a discharge antibiotic change: 30 (19.0%) of 158 versus 52 (38.0%) of 137 (P < .001). Female pharmacists were also less likely to have a recommendation accepted: 10 (33.3%) of 30 versus 41 (8.8%) of 52 (P < .001). Thus, timeouts conducted by female versus male pharmacists were less likely to result in an antibiotic change: 10 (6.3%) of 158 versus 41 (29.9%) of 137 (P < .001). After adjustments, pharmacist gender remained significantly associated with whether recommended changes were accepted (adjusted odds ratio [aOR], 0.10; 95%confidence interval [CI], 0.03–0.36 for female versus male pharmacists).

Antibiotic stewardship recommendations made by female clinical pharmacists were less likely to be accepted by hospitalists. Gender bias may play a role in the acceptance of clinical pharmacist recommendations, which could affect patient care and outcomes.

Older adults experience symptoms of depression, leading to suffering and increased morbidity and mortality. Although we have effective depression therapies, physical distancing and other public health measures have severely limited access to in-person interventions.

To describe the efficacy of virtual interventions for reducing symptoms of depression in community-dwelling older adults.

Systematic review.

We searched MEDLINE, EMBASE, Cochrane Libraries, PsycINFO, and gray literature from inception to July 5, 2021.

We included randomized trials (RCTs) comparing the efficacy of virtual interventions to any other virtual intervention or usual care in community-dwelling adults ≥60 years old experiencing symptoms of depression or depression as an outcome.

The primary outcome was change in symptoms of depression measured by any depression scale.

We screened 12,290 abstracts and 830 full text papers. We included 15 RCTs (3100 participants). Five RCTs examined persons with depression symptoms at baseline and ten examined depression as an outcome only. Included studies demonstrated feasibility of interventions such as internet or telephone cognitive behavioral therapy with some papers showing statistically significant improvement in depressive symptoms.

There is a paucity of studies examining virtual interventions in older adults with depression. Given difficulty in accessing in-person therapies in a pandemic and poor access for people living in rural and remote regions, there is an urgent need to explore efficacy, effectiveness, and implementation of virtual therapies.

Disabilities in physical activity and functional independence affect the early rehabilitation of stroke survivors. Moreover, a good instrument for assessing activity disability allows accurate assessment of physical disability and assists in prognosis determination.

To compare three assessment tools for physical activity in acute-phase stroke survivors.

We conducted this prospective observational study at an affiliated hospital of a Medical University in Shanghai, China, from June 2018 to November 2019. We administered three instruments to all patients during post-stroke days 5–7, including the Modified Barthel Index (MBI), Instrumental Activities of Daily Living (IADL), and modified Rankin scale (mRs). We analyzed correlations among the aforementioned scales and the National Institutes of Health Stroke Scale (NIHSS) using Spearman’s rank-order correlations test. Univariate analyses were performed using the Mann–Whitney U test. We used a binary logistic regression model to assess the association between the NIHSS (30 days) and patient-related variables. Finally, we used receiver operating characteristic (ROC) curves to assess the predictive value of the multivariate regression models.

There was a high correlation among the three instruments; furthermore, the MBI had a higher correlation with the NIHSS (days 5–7). The NIHSS (day 30) was correlated with thrombolysis. ROC analysis revealed that the mRs-measured disability level had the highest predictive value of short-term stroke severity (30 days).

The MBI was the best scale for measuring disability in physical activity, whereas the mRs showed better accuracy in short-term prediction of stroke severity.

While previous studies have described career outcomes of physician-scientist trainees after graduation, trainee perceptions of research-intensive career pathways remain unclear. This study sought to identify the perceived interests, factors, and challenges associated with academic and research careers among predoctoral MD trainees, MD trainees with research-intense (>50%) career intentions (MD-RI), and MD-PhD trainees.

A 70-question survey was administered to 16,418 trainees at 32 academic medical centers from September 2012 to December 2014. MD vs. MD-RI (>50% research intentions) vs. MD-PhD trainee responses were compared by chi-square tests. Multivariate logistic regression analyses were performed to identify variables associated with academic and research career intentions.

There were 4433 respondents (27% response rate), including 2625 MD (64%), 653 MD-RI (15%), and 856 MD-PhD (21%) trainees. MD-PhDs were most interested in pursuing academia (85.8%), followed by MD-RIs (57.3%) and MDs (31.2%). Translational research was the primary career intention for MD-PhD trainees (42.9%). Clinical duties were the primary career intention for MD-RIs (51.9%) and MDs (84.2%). While 39.8% of MD-PhD respondents identified opportunities for research as the most important career selection factor, only 12.9% of MD-RI and 0.5% of MD respondents shared this perspective. Interest in basic research, translational research, clinical research, education, and the ability to identify a mentor were each independently associated with academic career intentions by multivariate regression.

Predoctoral MD, MD-RI, and MD-PhD trainees are unique cohorts with different perceptions and interests toward academic and research careers. Understanding these differences may help to guide efforts to mentor the next generation of physician-scientists.

Aging is associated with numerous stressors that negatively impact older adults’ well-being. Resilience improves ability to cope with stressors and can be enhanced in older adults. Senior housing communities are promising settings to deliver positive psychiatry interventions due to rising resident populations and potential impact of delivering interventions directly in the community. However, few intervention studies have been conducted in these communities. We present a pragmatic stepped-wedge trial of a novel psychological group intervention intended to improve resilience among older adults in senior housing communities.

A pragmatic modified stepped-wedge trial design.

Five senior housing communities in three states in the US.

Eighty-nine adults over age 60 years residing in independent living sector of senior housing communities.

Raise Your Resilience, a manualized 1-month group intervention that incorporated savoring, gratitude, and engagement in value-based activities, administered by unlicensed residential staff trained by researchers. There was a 1-month control period and a 3-month post-intervention follow-up.

Validated self-report measures of resilience, perceived stress, well-being, and wisdom collected at months 0 (baseline), 1 (pre-intervention), 2 (post-intervention), and 5 (follow-up).

Treatment adherence and satisfaction were high. Compared to the control period, perceived stress and wisdom improved from pre-intervention to post-intervention, while resilience improved from pre-intervention to follow-up. Effect sizes were small in this sample, which had relatively high baseline resilience. Physical and mental well-being did not improve significantly, and no significant moderators of change in resilience were identified.

This study demonstrates feasibility of conducting pragmatic intervention trials in senior housing communities. The intervention resulted in significant improvement in several measures despite ceiling effects. The study included several features that suggest high potential for its implementation and dissemination across similar communities nationally. Future studies are warranted, particularly in samples with lower baseline resilience or in assisted living facilities.

Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.

We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.

16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).

PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

To examine the relationship between parental work characteristics and diet quality among pre-school children in dual-parent households.

Cross-sectional study. Parental work characteristics were measured by the types of combined parental work schedules and work hours. The main outcome variables included meal eating habits as well as ‘health-conscious food’ and ‘unhealthy non-core food’ dietary patterns derived by using principal component analysis. Sociodemographic covariates were considered to reduce confounding and selection biases.

The Taiwan Birth Cohort Study, Taiwan.

A population-based sample of 18 046 children.

Multiple regression analyses indicated that compared with having both parents working standard schedules, having at least one parent who worked non-standard schedules was significantly associated with a lower likelihood of a child eating breakfast every day and a higher consumption of unhealthy non-core foods. If only one parent was employed and worked standard schedules, the children demonstrated greater odds of having home-prepared dinner most of the time. The mother’s working long hours was associated with lower odds of eating breakfast every day, more frequent consumption of unhealthy non-core foods and a lower frequency of healthy food consumption.

The findings raise concern that parents’ non-standard work schedules and mother’s long working hours have negative effects on diet quality of pre-school children. Policy implications include the need for a multifaceted approach to supporting working parents so as to create healthier food environments.

First responders, including firefighters, police officers, emergency medical services, and company emergency response team members, have dangerous jobs that can bring them in contact with hazardous chemicals among other dangers. Limited information is available on responder injuries that occur during hazardous chemical incidents.

We analyzed 2002-2012 data on acute chemical incidents with injured responders from 2 Agency for Toxic Substances and Disease Registry chemical incident surveillance programs. To learn more about such injuries, we performed descriptive analysis and looked for trends.

The percentage of responders among all injured people in chemical incidents has not changed over the years. Firefighters were the most frequently injured group of responders, followed by police officers. Respiratory system problems were the most often reported injury, and the respiratory irritants, ammonia, methamphetamine-related chemicals, and carbon monoxide were the chemicals more often associated with injuries. Most of the incidents with responder injuries were caused by human error or equipment failure. Firefighters wore personal protective equipment (PPE) most frequently and police officers did so rarely. Police officers’ injuries were mostly associated with exposure to ammonia and methamphetamine-related chemicals. Most responders did not receive basic awareness-level hazardous material training.

All responders should have at least basic awareness-level hazardous material training to recognize and avoid exposure. Research on improving firefighter PPE should continue. (Disaster Med Public Health Preparedness. 2018;12:211–221)

To describe the characteristics and impact of Clostridium difficile infection (CDI) in a long-term acute-care hospital (LTACH).

Retrospective matched cohort study.

A 38-bed, urban, university-affiliated LTACH.

The characteristics of LTACH-onset CDI were assessed among patients hospitalized between July 2008 and October 2015. Patients with CDI were matched to concurrently hospitalized patients without a diagnosis of CDI. Severe CDI was defined as CDI with 2 or more of the following criteria: age ≥65 years, serum creatinine ≥2 mg/dL, or peripheral leukocyte count ≥20,000 cells/μL. A conditional Poisson regression model was developed to determine characteristics associated with a composite primary outcome of 30-day readmission to an acute-care hospital, or mortality.

The overall incidence of CDI was 21.4 cases per 10,000 patient days, with 27% of infections classified as severe. Patients with CDI had a mean age of 70 years (SD, 14 years), a mean Charlson comorbidity index of 3.6 (SD, 2.0), a median length of stay of 33 days (interquartile range [IQR], 24–45 days), and a median time between admission and CDI diagnosis of 16 days (IQR, 9–23 days). The most commonly prescribed antibiotic preceding a CDI diagnosis was a cephalosporin, with median duration of 8 days (IQR, 4–14 days). In multivariate analysis, CDI was not significantly associated with the primary outcome (relative risk, 0.97; 95% CI, 0.59–1.58).

Incidence of CDI in an urban, university-affiliated LTACH was high. Future research should focus on infection prevention measures to decrease the burden of CDI in this complex patient population.

Infect Control Hosp Epidemiol 2017;38:294–299