How can NHS trusts in England optimise strategies to improve the mental health and well-being of hospital doctors? The Care Under Pressure 3 (CUP3) realist evaluation study protocol.

INTRODUCTION: The growing incidence of mental ill health in doctors was a major issue in the UK and internationally, even prior to the COVID-19 pandemic. It has significant and far-reaching implications, including poor quality or inconsistent patient care, absenteeism, workforce attrition and retention issues, presenteeism, and increased risk of suicide. Existing approaches to workplace support do not take into account the individual, organisational and social factors contributing to mental ill health in doctors, nor how interventions/programmes might interact with each other within the workplace. The aim of this study is to work collaboratively with eight purposively selected National Health Service (NHS) trusts within England to develop an evidence-based implementation toolkit for all NHS trusts to reduce doctors' mental ill health and its impacts on the workforce. METHODS AND ANALYSIS: The project will incorporate three phases. Phase 1 develops a typology of interventions to reduce doctors' mental ill health. Phase 2 is a realist evaluation of the existing combinations of strategies being used by acute English healthcare trusts to reduce doctors' mental ill health (including preventative promotion of well-being), based on 160 interviews with key stakeholders. Phase 3 synthesises the insights gained through phases 1 and 2, to create an implementation toolkit that all UK healthcare trusts can use to optimise their strategies to reduce doctors' mental ill health and its impact on the workforce and patient care. ETHICS AND DISSEMINATION: Ethical approval has been granted for phase 2 of the project from the NHS Research Ethics Committee (REC reference number 22/WA/0352). As part of the conditions for our ethics approval, the sites included in our study will remain anonymous. To ensure the relevance of the study's outputs, we have planned a wide range of dissemination strategies: an implementation toolkit for healthcare leaders, service managers and doctors; conventional academic outputs such as journal manuscripts and conference presentations; plain English summaries; cartoons and animations; and a media engagement campaign.

Social Determinants of Health and Parenting Self-Efficacy Among Mothers of Preterm Infants.

Objective: To explore the relationships between social and environmental factors and parenting self-efficacy (PSE) among mothers of preterm infants hospitalized in neonatal intensive care units (NICUs) using a social determinants of health (SDoH) framework. Method: We analyzed data from a prospective cohort study that included 187 mother-infant dyads admitted to four NICUs in the Mountain West region between June 2017 and December 2019. We used multivariable linear regression models to assess the independent associations between maternal and infant characteristics and PSE. Results: Our final multiple linear regression model predicting the efficacy score including maternal race/ethnicity, age, insurance, employment status before giving birth, gestational age, depression, and having other children was significant (F(12,160) = 3.17, p = .0004, adjusted R¬2 = .131). Significant predictors of PSE were race/ethnicity (ß= 3.3, p = .022), having another child/children (ß= 4.2, p = .005), and depression (ß= -4.2, p = .004). Conclusions: Findings suggest that social workers and medical practitioners should consider SDoH, such as insurance type, household income, and employment, along with traditional clinical indicators when assessing families' infant care needs. Social workers, medical practitioners, and researchers should be mindful of how implicit bias may influence the allocation of care and parental supports.

Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection.

OBJECTIVE: With the increasing use of wearable healthcare devices for remote patient monitoring, reliable signal quality assessment (SQA) is required to ensure the high accuracy of interpretation and diagnosis on the recorded data from patients. Photoplethysmographic (PPG) signals non-invasively measured by wearable devices are extensively used to provide information about the cardiovascular system and its associated diseases. In this study, we propose an approach to optimize the quality assessment of the PPG signals. METHODS: We used an ensemble-based feature selection scheme to enhance the prediction performance of the classification model to assess the quality of the PPG signals. Our approach for feature and subset size selection yielded the best-suited feature subset, which was optimized to differentiate between the clean and artifact corrupted PPG segments. CONCLUSION: A high discriminatory power was achieved between two classes on the test data by the proposed feature selection approach, which led to strong performance on all dependent and independent test datasets. We achieved accuracy, sensitivity, and specificity rates of higher than 0.93, 0.89, and 0.97, respectively, for dependent test datasets, independent of heartbeat type, i.e., atrial fibrillation (AF) or non-AF data including normal sinus rhythm (NSR), premature atrial contraction (PAC), and premature ventricular contraction (PVC). For independent test datasets, accuracy, sensitivity, and specificity rates were greater than 0.93, 0.89, and 0.97, respectively, on PPG data recorded from AF and non-AF subjects. These results were found to be more accurate than those of all of the contemporary methods cited in this work. SIGNIFICANCE: As the results illustrate, the advantage of our proposed scheme is its robustness against dynamic variations in the PPG signal during long-term 14-day recordings accompanied with different types of physical activities and a diverse range of fluctuations and waveforms caused by different individual hemodynamic characteristics, and various types of recording devices. This robustness instills confidence in the application of the algorithm to various kinds of wearable devices as a reliable PPG signal quality assessment approach.

The Association of Social Factors and Time Spent in the NICU for Mothers of Very Preterm Infants.

OBJECTIVES: Evaluate the association between maternal social factors and maternal time spent in the NICU for very preterm infants admitted to 4 level III and IV NICUs. METHODS: In this prospective observational cohort study, we enrolled mother-infant dyads whose infants were born <32 weeks' gestation. Enrollment occurred after 2 weeks of NICU exposure, when maternal social factors and demographic information was collected. Maternal time spent in the NICU was abstracted from the electronic medical record and was dichotomized into 0 to 6 days and ≥6 days per week. Demographic differences between the 2 groups were compared by using χ2 tests. Logistic regression was used to assess the independent association between maternal social factors and the average number of days per week spent in the NICU. RESULTS: A total of 169 mother-infant dyads were analyzed. Maternal social factors associated with more time spent in the NICU included an annual household income of >$100 000, compared with those with an annual household income of <$50 000 (adjusted odds ratio [aOR]: 5.68; 95% confidence interval [CI] 1.77-18.19), a travel time <30 minutes to the NICU (compared with those who traveled >60 minutes [aOR: 7.85; 95% CI 2.81-21.96]), and the lack of other children in the household, compared with women with other children (aOR: 3.15; 95% CI 1.39-7.11). CONCLUSIONS: Maternal time spent in the NICU during a prolonged birth hospitalization of a very preterm infant differed by socioeconomic status, travel time, and presence of other dependents. Strategies to better identify and reduce these disparities to optimize engagement and, subsequently, improve infant health outcomes is needed.

Promoting cultural awareness, professionalism, and communication skills in medicine through anatomy: The Deaf culture session.

The anatomy curriculum is a place where professionalism can be learned and practiced, including training in cultural competence and communication skills for working with diverse populations. One population that has received little attention in terms of medical education are d/Deaf and hard of hearing (d/DHH) patients, although there is much evidence to support health care disparities in this population. Several major contributing factors include differing views of deafness between medical professionals and those who are culturally Deaf, a lack of understanding of Deaf culture and American Sign Language (ASL) by medical professionals, a lack of educational resources in ASL, and poor experiences in health care. To address this need, a Deaf Culture Applied Anatomy session was incorporated into the first-year curriculum at Morehouse School of Medicine while medical students were studying anatomy of the ear and hearing. Panelists, who were culturally Deaf, hard of hearing, and hearing children of deaf adults, shared their experiences in healthcare, including challenges they faced with communication and care. Surveys were provided to students before and after the panel session. Surveys indicated a lack of knowledge prior to this session, while also demonstrating that this 90-min session improved students' understanding of effective communication with future patients and issues related to deafness. Qualitative feedback also suggested that the students found the session to be personally and professionally beneficial. Implementing the Deaf Culture session was an effective means for introducing students to Deaf culture and working with d/DHH patients.

The metabolic cost of an integrated exercise program performed during 14 days of bed rest.

BACKGROUND: Exercise countermeasures designed to mitigate muscle atrophy during long-duration spaceflight may not be as effective if crewmembers are in negative energy balance (energy output > energy input). This study determined the energy cost of supine exercise (resistance, interval, aerobic) during the spaceflight analogue of bed rest. METHODS: Nine subjects (eight men and one woman; 34.5 +/- 8.2 yr) completed 14 d of bed rest and concomitant exercise countermeasures. Body mass and basal metabolic rate (BMR) were assessed before and during bed rest. Exercise energy expenditure was measured during and immediately after [excess post-exercise oxygen consumption (EPOC)] each of five different exercise protocols (30-s, 2-min, and 4-min intervals, continuous aerobic, and a variety of resistance exercises) during bed rest. RESULTS: On days when resistance and continuous aerobic exercise were performed daily, energy expenditure was significantly greater (2879 +/- 280 kcal) than 2-min (2390 +/- 237 kcal), 30-s (2501 +/- 264 kcal), or 4-min (2546 +/- 264 kcal) exercise. There were no significant differences in BMR (pre-bed rest: 1649 +/- 216 kcal; week 1: 1632 +/- 174 kcal; week 2:1657 +/- 176 kcal) or body mass (pre-bed rest: 75.2 +/- 10.1 kg; post-bed rest: 75.2 +/- 9.6 kg). DISCUSSION: These findings highlight the importance of energy balance for long-duration crewmembers completing a high-intensity exercise program with multiple exercise sessions daily.