Patient-reported outcome measures used to improve youth mental health services: a systematic review.

BACKGROUND: Patient-reported outcome measures (PROMs) are standardized and validated self-administered questionnaires that assess whether healthcare interventions and practices improve patients' health and quality of life. PROMs are commonly implemented in children and youth mental health services, as they increasingly emphasize patient-centered care. The objective of this study was to identify and describe the PROMs that are currently in use with children and youth living with mental health conditions (MHCs). METHODS: Three databases (MEDLINE, EMBASE, and PsycINFO) were systematically searched that used PROMs with children and youth < 18 years of age living with at least one diagnosed MHC. All methods were noted according to Preferred Reporting Items for Systematic reviews and Meta-Analysis. Four independent reviewers extracted data, which included study characteristics (country, year), setting, the type of MHC under investigation, how the PROMs were used, type of respondent, number of items, domain descriptors, and the psychometric properties. RESULTS: Of the 5004 articles returned by the electronic search, 34 full-texts were included in this review. This review identified both generic and disease-specific PROMs, and of the 28 measures identified, 13 were generic, two were generic preference-based, and 13 were disease-specific. CONCLUSION: This review shows there is a diverse array of PROMs used in children and youth living with MHCs. Integrating PROMs into the routine clinical care of youth living with MHCs could improve the mental health of youth. Further research on how relevant these PROMs are children and youth with mental health conditions will help establish more uniformity in the use of PROMs for this population.

Youth engagement in mental health research: A systematic review.

INTRODUCTION: Patient engagement in youth mental health research has the potential to inform research on the interventions, services and policies that will benefit youth. At present, there is little evidence to guide mental health researchers on youth engagement. This systematic review aims to describe the impacts of youth engagement on mental health research and to summarize youth engagement in mental health research. METHODS: We searched the following databases: MEDLINE, EMBASE and PsycINFO, using a combination of subject headings, keywords and synonyms for the concepts 'patient engagement', 'youth' and 'mental health'. Articles that described engaging youth in mental health research were included. Two reviewers performed the study selection. Study characteristics, research activities performed by youth, impacts of youth engagement, challenges, and facilitators to engagement and recommendations for youth engagement described by authors were extracted. Quality appraisal involved determining the level of engagement of youth and the stage(s) of research where youth were involved. RESULTS: The database search returned 2836 citations, 151 full-text articles were screened and 16 articles, representing 14 studies, were selected for inclusion. Youth were involved at nearly all stages of the research cycle, in either advisory or co-production roles. Youth engagement impacts included enhancing relevant research findings, data collection and analysis and dissemination to academic and stakeholder audiences. Both youth and academic researchers reported personal development across many domains. One negative impact reported was the increase in funding and resources needed for engagement. We produced a list of 35 recommendations under the headings of training, youth researcher composition, strategy, expectations, relationships, meeting approaches and engagement conditions. CONCLUSIONS: This study provides an understanding of the impacts and recommendations of youth engagement in mental health research. The findings from this study may encourage researchers to engage youth in their mental health research and support youth engagement in funding applications. PATIENT AND PUBLIC CONTRIBUTION: We consulted three youths with experience being engaged in mental health research about the review findings and the discussion. One youth designed a visual representation of the results and provided feedback on the manuscript. All youth's input informed the way the findings were presented and the focus of the discussion.

Interventions to improve the well-being of medical learners in Canada: a scoping review.

BACKGROUND: Medical education affects learner well-being. We explored the breadth and depth of interventions to improve the well-being of medical learners in Canada. METHODS: We searched MEDLINE, EMBASE, CINAHL and PsycINFO from inception to July 11, 2020, using the Arksey-O'Malley, 5-stage, scoping review method. We included interventions to improve well-being across 5 wellness domains (i.e., social, mental, physical, intellectual, occupational) for medical learners in Canada, grouped as undergraduate or graduate nonmedical (i.e., health sciences) students, undergraduate medical students or postgraduate medical students (i.e., residents). We categorized interventions as targeting the individual (learner), program (i.e., in which learners are enrolled) or system (i.e., higher education or health care) levels. RESULTS: Of 1753 studies identified, we included 65 interventions that aimed to improve well-being in 10 202 medical learners, published from 1972 through 2020; 52 (80%) were uncontrolled trials. The median year for intervention implementation was 2010 (range 1971-2018) and the median length was 3 months (range 1 h-48 mo). Most (n = 34, 52%) interventions were implemented with undergraduate medical students. Two interventions included only undergraduate, nonmedical students; none included graduate nonmedical students. Most studies (n = 51, 78%) targeted intellectual well-being, followed by occupational (n = 32, 49%) and social (n = 17, 26%) well-being. Among 19 interventions implemented for individuals, 14 (74%) were for medical students; of the 27 program-level interventions, 17 (63%) were for resident physicians. Most (n = 58, 89%) interventions reported positive well-being outcomes. INTERPRETATION: Many Canadian medical schools address intellectual, occupational and social well-being by targeting interventions at medical learners. Important emphasis on the mental and physical well-being of medical learners in Canada warrants further exploration.

Mental Health Interventions to Improve Psychological Outcomes in Informal Caregivers of Critically Ill Patients: A Systematic Review and Meta-Analysis.

OBJECTIVES: Determine effect of mental health interventions on psychologic outcomes in informal caregivers of critically ill patients. DATA SOURCES: Searches conducted in MEDLINE, Embase, and other databases from inception to October 31, 2019. STUDY SELECTION: Interventions for informal caregivers of critically ill patients in adult ICU, PICU, or neonatal ICU. DATA EXTRACTION: Two independent, blinded reviewers screened citations and extracted data. Random-effects models with inverse variance weighting pooled outcome data when suitable. Psychologic outcomes categorized: 1) negative (anxiety, depression, post-traumatic stress disorder, distress, and burden) or 2) positive (courage, humanity, justice, transcendence, temperance, and wisdom and knowledge). Stratification according to intervention type and patient population was performed. DATA SYNTHESIS: Of 11,201 studies, 102 interventional trials were included (n = 12,676 informal caregivers). Interventions targeted caregiver experience (n = 58), role (n = 6), or support (n = 38). Meta-analysis (56 randomized controlled trials; n = 22 [39%] in adult ICUs; n = 34 [61%] in neonatal ICU or PICU) demonstrated reduced anxiety (ratio of means = 0.92; 95% CI, 0.87-0.97) and depression (ratio of means = 0.83; 95% CI, 0.69-0.99), but not post-traumatic stress disorder (ratio of means = 0.91; 95% CI, 0.80-1.04) or distress (ratio of means = 1.01; 95% CI, 0.95-1.07) among informal caregivers randomized to mental health interventions compared with controls within 3 months post-ICU discharge. Increased humanity (ratio of means = 1.11; 95% CI, 1.07-1.15), transcendence (ratio of means = 1.11; 95% CI, 1.07-1.15), and caregiver burden (ratio of means = 1.08; 95% CI, 1.05-1.12) were observed. No significant effects of mental health interventions observed after 3 months postdischarge. CONCLUSIONS: Mental health interventions for caregivers of critically ill patients improved short-term anxiety, depression, humanity, and transcendence while increasing burden. Clinicians should consider short-term prescriptions of mental health interventions to informal caregivers of critically ill patients with capacity to manage interventions.

Impact of social media interventions and tools among informal caregivers of critically ill patients after patient admission to the intensive care unit: A scoping review.

BACKGROUND: The use of social media in healthcare continues to evolve. The purpose of this scoping review was to summarize existing research on the impact of social media interventions and tools among informal caregivers of critically ill patients after patient admission to the intensive care unit (ICU). METHODS: This review followed established scoping review methods, including an extensive a priori-defined search strategy implemented in the MEDLINE, EMBASE, PsycINFO, CINAHL, and the Cochrane CENTRAL Register of Controlled Trials databases to July 10, 2020. Primary research studies reporting on the use of social media by informal caregivers for critically ill patients were included. RESULTS: We identified 400 unique citations and thirty-one studies met the inclusion criteria. Nine were interventional trials-four randomized controlled trials (RCTs)-and a majority (n = 14) were conducted (i.e., data collected) between 2013 to 2015. Communication platforms (e.g., Text Messaging, Web Camera) were the most commonly used social media tool (n = 17), followed by social networking sites (e.g., Facebook, Instagram) (n = 6), and content communities (e.g., YouTube, SlideShare) (n = 5). Nine studies' primary objective was caregiver satisfaction, followed by self-care (n = 6), and health literacy (n = 5). Nearly every study reported an outcome on usage feasibility (e.g., user attitudes, preferences, demographics) (n = 30), and twenty-three studies reported an outcome related to patient and caregiver satisfaction. Among the studies that assessed statistical significance (n = 18), 12 reported statistically significant positive effects of social media use. Overall, 16 of the 31 studies reported positive conclusions (e.g., increased knowledge, satisfaction, involvement) regarding the use of social media among informal caregivers for critically ill patients. CONCLUSIONS: Social media has potential benefits for caregivers of the critically ill. More robust and clinically relevant studies are required to identify effective social media strategies used among caregivers for the critically ill.