Predictors of Medical Students' Compassion and Related Constructs: A Systematic Review.

Phenomenon: Compassion, and related constructs such as empathy, are core values in healthcare, with known benefits for both patients and staff. Yet research on the factors that affect compassion and compassion-related constructs remains scattered. This review systematizes and synthesizes studies investigating the predictors of compassion and related constructs among medical students, allowing for a better understanding of the factors that both positively and negatively contribute to the development of compassionate future physicians. Approach: A systematic review of 12 databases for studies from database inception up until April 2020 was conducted. Non-peer-reviewed literature and studies in which >50% of the sample were non-medical students were excluded. Intervention studies were also out of the scope of this review. We assessed risk of bias and confidence in the findings using standardized tools. Data were categorized within the Transactional Model of Physician Compassion, a framework in which compassion is influenced by personal (student), environmental, patient/family, and clinical factors. Findings: Of 14,060 retrieved articles, 222 studies were included. Of these, 95% studied student factors, but only 25% studied environmental, 9% studied patient, and 6% studied clinical factors. Predictors of greater compassion included maturity; work and life experiences; personality traits of openness to experience and agreeableness; skills such as perspective taking, reflection, and mindfulness; and positive role modeling. Conversely, negative attitudes/emotions, burnout, stress, detachment, operating in cultures prioritizing knowledge and efficiency over humanistic care, negative role models, time constraints, and heavy workloads predicted lower compassion. Patient-related factors included "difficult" and "noncompliant" patients or those perceived as responsible for their illness. Overall, 60% of studies had a serious risk of bias, particularly confounding and participant selection biases. Insights: Medical student compassion is predicted by a wide range of factors relating to the student, their training environment, their patients, and the clinical situation. However, existing research has largely focused on student factors (e.g., sociodemographic and dispositional traits), many of which are not amenable to intervention. Skills such as perspective taking, reflection, and mindfulness are associated with higher compassion and may present opportunities for intervention. There is also strong evidence that environmental factors shape students' compassion. Researchers and educators should continue to explore the impact of patient and clinical factors on students' compassion. Studies remain at high risk of bias.

Predictors of Physician Compassion, Empathy, and Related Constructs: a Systematic Review.

BACKGROUND: Compassion in healthcare provides measurable benefits to patients, physicians, and healthcare systems. However, data regarding the factors that predict care (and a lack of care) are scattered. This study systematically reviews biomedical literature within the Transactional Model of Physician Compassion and synthesizes evidence regarding the predictors of physician empathy, compassion, and related constructs (ECRC). METHODS: A systematic literature search was conducted in CENTRAL, MEDLINE, PsycINFO, EMBASE, CINAHL, AMED, OvidJournals, ProQuest, Web of Science, and Scopus using search terms relating to ECRC and its predictors. Eligible studies included physicians as participants. Methodological quality was assessed based on the Cochrane Handbook, using ROBINS-I risk of bias tool for quantitative and CASP for qualitative studies. Confidence in findings was evaluated according to GRADE-CERQual approach. RESULTS: One hundred fifty-two included studies (74,866 physicians) highlighted the diversity of influences on compassion in healthcare (54 unique predictors). Physician-related predictors (88%) were gender, experience, values, emotions and coping strategies, quality of life, and burnout. Environmental predictors (38%) were organizational structure, resources, culture, and clinical environment and processes. Patient-related predictors (24%) were communication ease, and physicians' perceptions of patients' motives; compassion was also less forthcoming with lower SES and minority patients. Evidence related to clinical predictors (15%) was scarce; high acuity presentations predicted greater ECRC. DISCUSSION: The growth of evidence in the recent years reflects ECRC's ongoing importance. However, evidence remains scattered, concentrates on physicians' factors that may not be amenable to interventions, lacks designs permitting causal commentary, and is limited by self-reported outcomes. Inconsistent findings in the direction of the predictors' effects indicate the need to study the relationships among predictors to better understand the mechanisms of ECRCs. The current review can guide future research and interventions.

Exploring the views of adolescents with type 1 diabetes on digital mental health interventions: What functionality and content do they want?

BACKGROUND: Adolescents with type 1 diabetes (T1D) experience higher rates of psychological disorders compared with their healthy peers. As poor psychological health has been associated with suboptimal glycaemic control and more frequent complications, there is an urgent need to develop more 'clinically usable' interventions. Digital mental health interventions offer unique advantages compared with in-person interventions; however, what adolescents with T1D want in terms of content and functionality is poorly understood. Accordingly, the current study conducted focus groups to examine the views of adolescents with T1D regarding digital mental health interventions. METHODS: Four focus groups were conducted, including 16 adolescents with T1D, ranging from 13 to 17 years in age (69% female). Transcripts were analysed using directed content analysis to examine (1) 'what adolescents dislike about existing digital mental health interventions?' and (2) 'what adolescents want in future digital mental health interventions?'. RESULTS: Findings provide a preliminary understanding of what adolescents dislike and also the type of content and functional features, which may be important to include in digital mental health programs for this population, such as a peer support feature (reported by 16 of 16), emotion and diabetes check-in feature (11 of 16) and diabetes-relevant content (12 of 16). CONCLUSIONS: Early data suggest that digital mental health interventions should include a significant peer support element, diabetes-relevant content and examples, and check-in on their mental health and diabetes self-management regularly, while avoiding fixed responses or modules and non-age-appropriate content. Based on these findings, a digital intervention is currently being developed.

A systematic review of gratitude interventions: Effects on physical health and health behaviors.

OBJECTIVE: Gratitude interventions are easy-to-deliver, offering promise for use in clinical-care. Although gratitude interventions have consistently shown benefits to psychological wellbeing, the effects on physical health outcomes are mixed. This systematic review aims to synthesize gratitude intervention studies which assessed physical health and health behavior outcomes, as well as evaluate study quality, comment on their efficacy, and provide directions for future research. METHODS: Relevant studies were identified through searches conducted in PsycINFO, MedLine, Embase and Cochrane Library databases, up until August 2019. Only studies that evaluated a gratitude intervention, randomly assigned participants to gratitude and control conditions, and assessed objective and subjective measures of physical health and health behaviors were included. The Revised Cochrane risk-of-bias (RoB2) tool was used to assess risk of bias. RESULTS: Of the 1433 articles found, 19 were included in the review. Subjective sleep quality was improved in 5/8 studies. Improvements in blood pressure, glycemic control, asthma control and eating behavior were understudied yet demonstrated improvements (all 1/1). Other outcome categories remain understudied and mixed, such as inflammation markers (1/2) and self-reported physical symptoms (2/8). The majority of studies showed some risk of bias concerns. CONCLUSIONS: Although it was suggested gratitude interventions may improve subjective sleep quality, more research is still needed to make firm conclusions on the efficacy of gratitude interventions on improving health outcomes. Further research focusing on gratitude's link with sleep and causal mechanisms is needed, especially in patient populations where more 'clinically-usable' psychosocial interventions are urgently needed.

Protocol for a feasibility study: a brief self-compassion intervention for adolescents with type 1 diabetes and disordered eating.

INTRODUCTION: Adolescents with type 1 diabetes are at a higher risk of developing psychiatric disorders, particularly eating disorders, compared with their healthy peers. In turn, this increases the risk for sub-optimal glycaemic control and life-threatening diabetes-related complications. Despite these increased risks, standard diabetes care does not routinely provide psychological support to help prevent or reduce mental health risks. There is an urgent need to develop 'clinically usable' psychosocial interventions that are acceptable to patients and can be realistically integrated into clinical care. This study aims to examine the feasibility and acceptability of a brief self-compassion intervention for adolescents with type 1 diabetes and disordered eating behaviour. METHODS AND ANALYSIS: This feasibility study will examine the effectiveness of a brief self-compassion intervention, compared with a waitlist control group. Participants aged 12-16 years will be recruited from three diabetes outpatient clinics in Auckland, New Zealand. The brief self-compassion intervention is adapted from the standardised 'Making Friends with Yourself' intervention and will be delivered in a group format over two sessions. Apart from examining feasibility and acceptability through the flow of participants through the study and qualitative questions, we will assess changes to disordered eating behaviour (primary outcome), self-care behaviours, diabetes-related distress, self-compassion, stress and glycaemic control (secondary outcomes). Such data will be used to calculate the required sample size for a fully powered randomised controlled trial. ETHICS AND DISSEMINATION: This trial has received ethics approval from the Health and Disability Ethics Committee (research project number A+8467). Study results will be disseminated through peer-reviewed journals and conferences. TRIAL REGISTRATION NUMBER: ANZCTR (12619000541101).