Determinants of burnout in Canadian health care workers during the COVID-19 pandemic.

Background: Health care workers (HCWs) are among the most vulnerable groups to experience burnout during the coronavirus (COVID-19) pandemic. Understanding the risk and protective factors of burnout is crucial in guiding the development of interventions; however, the understanding of burnout determinants in the Canadian HCW population remains limited.Objective: Identify risk and protective factors associated with burnout in Canadian HCWs during the COVID-19 pandemic and evaluate organizational factors as moderators in the relationship between COVID-19 contact and burnout.Methods: Data were drawn from an online longitudinal survey of Canadian HCWs collected between 26 June 2020 and 31 December 2020. Participants completed questions pertaining to their well-being, burnout, workplace support and concerns relating to the COVID-19 pandemic. Baseline data from 1029 HCWs were included in the analysis. Independent samples t-tests and multiple linear regression were used to evaluate factors associated with burnout scores.Results: HCWs in contact with COVID-19 patients showed significantly higher likelihood of probable burnout than HCWs not directly providing care to COVID-19 patients. Fewer years of work experience was associated with a higher likelihood of probable burnout, whereas stronger workplace support, organizational leadership, supervisory leadership, and a favourable ethical climate were associated with a decreased likelihood of probable burnout. Workplace support, organizational leadership, supervisory leadership, and ethical climate did not moderate the associations between contact with COVID-19 patients and burnout.Conclusions: Our findings suggest that HCWs who worked directly with COVID-19 patients, had fewer years of work experience, and perceived poor workplace support, organizational leadership, supervisory leadership and ethical climate were at higher risk of burnout. Ensuring reasonable work hours, adequate support from management, and fostering an ethical work environment are potential organizational-level strategies to maintain HCWs' well-being.

Canadian HCWs endorsed high levels of burnout during the COVID-19 pandemic.Having direct contact with COVID-19 patients and having fewer years of work experience were associated with a higher likelihood of probable burnout.Having stronger workplace support, greater perceived organizational and supervisory leadership, and a favourable ethical climate were associated with a lower likelihood of probable burnout.

Factors influencing pregnancy care and institutional delivery in rural Mali: a secondary baseline analysis of a cluster-randomised trial.

OBJECTIVE: The vast majority of the 300 000 pregnancy-related deaths every year occur in South Asia and sub-Saharan Africa. Increased access to quality antepartum and intrapartum care can reduce pregnancy-related morbidity and mortality worldwide. We used a population-based cross-sectional cohort design to: (1) examine the sociodemographic risk factors and structural barriers associated with pregnancy care-seeking and institutional delivery, and (2) investigate the influence of residential distance to the nearest primary health facility in a rural population in Mali. METHODS: A baseline household survey of Malian women aged 15-49 years was conducted between December 2016 and January 2017, and those who delivereda baby in the 5 years preceding the survey were included. This study leverages the baseline survey data from a cluster-randomised controlled trial to conduct a secondary analysis. The outcomes were percentage of women who received any antenatal care (ANC) and institutional delivery; total number of ANC visits; four or more ANC visits; first ANC visit in the first trimester. RESULTS: Of the 8575 women in the study, two-thirds received any ANC in their last pregnancy, one in 10 had four or more ANC visits and among those that received any ANC, about one-quarter received it in the first trimester. For every kilometre increase in distance to the nearest facility, the likelihood of the outcomes reduced by 5 percentage points (0.95; 95% CI 0.91 to 0.98) for any ANC; 4 percentage points (0.96; 95% CI 0.94 to 0.98) for an additional ANC visit; 10 percentage points (0.90; 95% CI 0.86 to 0.95) for four or more ANC visits; 6 percentage points (0.94; 95% CI 0.94 to 0.98) for first ANC in the first trimester. In addition, there was a 35 percentage points (0.65; 95% CI 0.56 to 0.76) decrease in likelihood of institutional delivery if the residence was within 6.5 km to the nearest facility, beyond which there was no association with the place of delivery. We also found evidence of increase in likelihood of receiving any ANC care and its intensity increased with having some education or owning a business. CONCLUSION: The findings suggest that education, occupation and distance are important determinants of pregnancy and delivery care in a rural Malian context. TRIAL REGISTRATION NUMBER: NCT02694055.

Exposure to moral stressors and associated outcomes in healthcare workers: prevalence, correlates, and impact on job attrition.

Introduction: Healthcare workers (HCWs) often experience morally challenging situations in their workplaces that may contribute to job turnover and compromised well-being. This study aimed to characterize the nature and frequency of moral stressors experienced by HCWs during the COVID-19 pandemic, examine their influence on psychosocial-spiritual factors, and capture the impact of such factors and related moral stressors on HCWs' self-reported job attrition intentions.Methods: A sample of 1204 Canadian HCWs were included in the analysis through a web-based survey platform whereby work-related factors (e.g. years spent working as HCW, providing care to COVID-19 patients), moral distress (captured by MMD-HP), moral injury (captured by MIOS), mental health symptomatology, and job turnover due to moral distress were assessed.Results: Moral stressors with the highest reported frequency and distress ratings included patient care requirements that exceeded the capacity HCWs felt safe/comfortable managing, reported lack of resource availability, and belief that administration was not addressing issues that compromised patient care. Participants who considered leaving their jobs (44%; N = 517) demonstrated greater moral distress and injury scores. Logistic regression highlighted burnout (AOR = 1.59; p < .001), moral distress (AOR = 1.83; p < .001), and moral injury due to trust violation (AOR = 1.30; p = .022) as significant predictors of the intention to leave one's job.Conclusion: While it is impossible to fully eliminate moral stressors from healthcare, especially during exceptional and critical scenarios like a global pandemic, it is crucial to recognize the detrimental impacts on HCWs. This underscores the urgent need for additional research to identify protective factors that can mitigate the impact of these stressors.

This study explored the nature of moral stressors encountered by health care workers, along with impacts on moral injury and intentions to leave their jobs.Morally distressing encounters were common, with the most prevalent and distressing experiences being organizational or team-based in nature.Findings revealed that severity of moral injury, particularly related to trust violation or betrayal, was a key factor influencing healthcare workers' intentions to leave their jobs.

"They call me the 'Great Queen'": implementing the Malkia Klabu program to improve access to HIV self-testing and contraception for adolescent girls and young women in Tanzania.

BACKGROUND: Adolescent girls and young woman (AGYW) comprise a significant proportion of new HIV infections and unintended pregnancies in sub-Saharan Africa yet face many barriers to accessing family planning and reproductive health (FPRH) information and services. Developed via human-centered design, the Malkia Klabu ("Queen Club") program aimed to facilitate access to HIV self-testing (HIVST) and FPRH information and products at privately-owned drug shops. We sought to understand barriers and facilitators to program implementation in a 4-month pilot in Tanzania. METHODS: Forty semi-structured interviews were conducted with participants in a cluster randomized trial of the Malkia Klabu program from November 2019 through March 2020, including 11 with AGYW, 26 with drug shopkeepers, and three with counselors at health facilities to whom AGYW were referred. Interviews were audio-recorded, transcribed, coded, and analyzed to identify key themes. The Consolidated Framework for Implementation Research (CFIR) was used to assess barriers and facilitators to program implementation at multiple levels. CFIR considers the outer setting (e.g., culture and systemic conditions), the inner setting where the intervention is implemented (e.g., incentives, relationships, and available resources), the individuals involved, the innovation as it relates to stakeholder needs, and the implementation process. RESULTS: The Malkia Klabu program reshaped and directed the role of drug shopkeepers as providers of information and resources rather than FPRH gatekeepers. Key implementation facilitators included the program's adaptability to a wide range of needs and stages of readiness among AGYW, ability to capitalize on AGYW social networks for driving membership, responsiveness to AGYW's need for privacy, and positive contributions to the income and community standing of drug shopkeepers. Components such as HIVST were highly acceptable to both AGYW and shopkeepers, and the introduction of the loyalty program and HIVST kits in shops opened doors to the provision of FPRH products and information, which was further facilitated by program tools such as videos, product displays, and symbol cards. Although some shopkeepers maintained beliefs that certain contraceptive methods were inappropriate for AGYW, most appeared to provide the products as part of the program. CONCLUSIONS: The Malkia Klabu intervention's success was due in part to its ability to address key motivations of both AGYW and drug shopkeepers, such as maintaining privacy and increasing access to FPRH products for AGYW and increasing business for shops. Better understanding these implementation barriers and facilitators can inform the program's future adaptation and scale-up. TRIAL REGISTRATION: clinicaltrials.gov #NCT04045912.

Adolescent girls and young women (AGYW) in sub-Saharan Africa have limited access to family planning and reproductive health products and information even though they are at greater risk of pregnancy and HIV infection. The Malkia Klabu intervention was designed with AGYW and shopkeepers from private drug shops to facilitate access to products and information through a loyalty program that included free products, prizes for purchases, educational videos, and a non-verbal system of requesting products through symbols. Qualitive interviews with AGYW, drug shop staff, and health system counselors suggested that the program helped provide greater privacy and confidence to AGYW while bringing new business to drug shops. These findings can help as the study team charts a pathway for scaling up the intervention.

Examining resilience among child protection professionals during COVID-19: A global comparison across 57 countries.

BACKGROUND: The COVID-19 pandemic led to numerous challenges for child protection professionals (CPPs). However, limited research has investigated the interwoven concepts of coping, resilience, and mental distress among CPPs during COVID-19 on a global scale. OBJECTIVES: This study aimed to explore CPPs' practice, resilience, and mental distress during COVID-19, the relationship between their resilience and mental distress, the global stability of the Multi-System Model of Resilience (MSMR), and how CPPs' resilience varied according to the Human Development Index (HDI). METHODS: Data were collected from 420 CPPs in 57 countries across five continents between July and September 2021. Participants completed an online questionnaire on demographics, resilience, mental distress, coping, and perceptions of child protection during the pandemic in their native languages. The analyses compared the countries grouped according to HDI using means comparisons, correlations, and multiple linear regressions. A two-path analysis was also performed to identify variables associated with behavioral resilience engagement and mental distress. RESULTS: The findings indicated that CPPs' perceptions of COVID-19's impact on child maltreatment varied in correlation with their country's HDI. There were also significant HDI-based differences regarding the perceived opportunity to engage in resilient behavior and its helpfulness. Years of professional experience, internal resilience, and external resilience were shown to be significant predictors of mental distress among CPPs during the pandemic, and resilience mediated how years of experience predicted mental distress. CONCLUSIONS: This study emphasized the importance of experience and internal resilience for CPPs' psychological well-being. It also provides empirical evidence to support the MSMR theory on a global scale. Additionally, it demonstrates how the perceived changes in child maltreatment during COVID-19 may be associated with regional HDI. Lastly, the opportunities CPPs had to engage in resilient behavior and how much this helped them was associated with regional HDI, but not in the way originally predicted. Study results also hold implications for how practice and policy may be altered to help CPPs cope better during times of crisis and generally.

Measuring moral distress and moral injury: A systematic review and content analysis of existing scales.

BACKGROUND: Moral distress (MD) and moral injury (MI) are related constructs describing the negative consequences of morally challenging stressors. Despite growing support for the clinical relevance of these constructs, ongoing challenges regarding measurement quality risk limiting research and clinical advances. This study summarizes the nature, quality, and utility of existing MD and MI scales, and provides recommendations for future use. METHOD: We identified psychometric studies describing the development or validation of MD or MI scales and extracted information on methodological and psychometric qualities. Content analyses identified specific outcomes measured by each scale. RESULTS: We reviewed 77 studies representing 42 unique scales. The quality of psychometric approaches varied greatly across studies, and most failed to examine convergent and divergent validity. Content analyses indicated most scales measure exposures to potential moral stressors and outcomes together, with relatively few measuring only exposures (n = 3) or outcomes (n = 7). Scales using the term MD typically assess general distress. Scales using the term MI typically assess several specific outcomes. CONCLUSIONS: Results show how the terms MD and MI are applied in research. Several scales were identified as appropriate for research and clinical use. Recommendations for the application, development, and validation of MD and MI scales are provided.

Many Cooks in the Kitchen: Iterating a Qualitative Analysis Process Across Multiple Countries, Sites, and Teams.

Establishing and proving methodological rigor has long been a challenge for qualitative researchers where quantitative methods prevail, but much published literature on qualitative analysis assumes a relatively small number of researchers working in relative proximity. This is particularly true for research conducted with a grounded theory approach. Different versions of grounded theory are commonly used, but this methodology was originally developed for a single researcher collecting and analyzing data in isolation. Although grounded theory has evolved since its development, little has been done to reconcile this approach with the changing nature and composition of international research teams. Advances in technology and an increased emphasis on transnational collaboration have facilitated a shift wherein qualitative datasets have been getting larger and the teams collecting and analyzing them more diverse and diffuse. New processes and systems are therefore required to respond to these conditions. Data for this article are drawn from the experiences of the Innovations for Choice and Autonomy (ICAN) Research Consortium. ICAN aims to understand how self-injectable contraceptives can be implemented in ways that best meet women's needs in Kenya, Uganda, Malawi, and Nigeria. We found that taking a structured approach to analysis was important for maintaining consistency and making the process more manageable across countries. However, it was equally important to allow for flexibility within this structured approach so that teams could adapt more easily to local conditions, making data collection and accompanying analysis more feasible. Meaningfully including all interested researchers in the analysis process and providing support for learning also increased rigor. However, competing priorities in a complex study made it difficult to adhere to planned timelines. We conclude with recommendations for both funders and study teams to design and conduct global health studies that ensure more equitable contributions to analysis while remaining logistically feasible and methodologically sound.

A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services.

BACKGROUND: Globally, HIV, TB and malaria account for an estimated three million deaths annually. The Global Fund partnered with the World Health Organization to assist countries with health workforce planning in these areas through the development of an integrated health workforce investment impact tool. Our study illustrates the development of a user-friendly tool (with two MS Excel calculator subcomponents) that computes associations between human resources for health (HRH) investment inputs and reduced morbidity and mortality from HIV, TB, and malaria via increased coverage of effective treatment services. METHODS: We retrieved from the peer-reviewed literature quantitative estimates of the relation among HRH inputs and HRH employment and productivity. We converted these values to additional full-time-equivalent doctors, nurses and midwives (DNMs). We used log-linear regression to estimate the relation between DNMs and treatment service coverage outcomes for HIV, TB, and malaria. We then retrieved treatment effectiveness parameters from the literature to calculate lives saved due to expanded treatment coverage for HIV, TB, and malaria. After integrating these estimates into the tool, we piloted it in four countries. RESULTS: In most countries with a considerable burden of HIV, TB, and malaria, the health workforce investments include a mix of pre-service education, full remuneration of new hires, various forms of incentives and in-service training. These investments were associated with elevated HIV, TB and malaria treatment service coverage and additional lives saved. The country case studies we developed in addition, indicate the feasibility and utility of the tool for a variety of international and local actors interested in HRH planning. CONCLUSIONS: The modelled estimates developed for illustrative purposes and tested through country case studies suggest that HRH investments result in lives saved across HIV, TB, and malaria. Furthermore, findings show that attainment of high targets of specific treatment coverage indicators would require a substantially greater health workforce than what is currently available in most LMICs. The open access tool can assist with future HRH planning efforts, particularly in LMICs.

Truck platooning reshapes greenhouse gas emissions of the integrated vehicle-road infrastructure system.

Reducing greenhouse gas emissions has turned into a pillar of climate change mitigation. Truck platooning is proposed as a strategy to lower emissions from vehicles on roads. However, the potential interactive impacts of this technology on road infrastructure emissions remain unclear. Here, we evaluate the decarbonization effects of truck platooning on the integrated vehicle-road system at a large-scale road network level, spanning 1457 road sections across North America. We show that truck platooning decreases emissions induced by truck operations, but it degrades faster the durability of road infrastructure and leads to a 27.9% rise in road emissions due to more frequent maintenance work. Overall, truck platooning results in a 5.1% emission reduction of the integrated vehicle-road system. In contrast to the benefits of emission reduction, truck platooning leads to additional financial burdens on car users and transportation agencies, calling for the consideration of tradeoffs between emissions and costs and between agencies and users. Our research provides insights into the potential applications of truck platooning to mitigate climate change.

Mental health literacy and suicidal ideation among Chinese college students: The mediating role of depressive symptoms and anxiety symptoms.

BACKGROUND: Mental health literacy (MHL) is essential to mental health. Symptoms of depression and anxiety are significant antecedents and closely related to suicide among college students. Few studies have explored the mediating role of depressive and anxiety symptoms between MHL and suicidal ideation. METHODS: 5578 college students were included in the analysis. The online Wenjuanxing platform was used to collect data from November 2020 to March 2021. The bootstrapping method was used to test the mediating role of depressive and anxiety symptoms in the links between MHL and suicidal ideation. RESULTS: Approximately 18.8 % of Chinese college students in our study reported having suicidal ideation. MHL exhibited a significant and negative correlation with depressive symptoms, anxiety symptoms, and suicidal ideation, whereas depressive and anxiety symptoms correlated significantly and positively with suicidal ideation. Compared with the lowest MHL quartile, the 3rd and 4th quartiles of MHL were associated with a significantly lower risk of suicidal ideation after adjusting for various confounding factors. Depressive and anxiety symptoms partially mediated the relationship between MHL and suicidal ideation, and the mediating effect of depressive symptoms was significantly greater than that of anxiety symptoms. LIMITATIONS: This study was a cross-sectional survey. Future longitudinal studies on this relation are needed. CONCLUSIONS: Depressive and anxiety symptoms mediate the relationship between MHL and suicidal ideation. Comprehensive school-based specific psychological education programs are needed to improve college students' MHL and change their attitudes toward mental health services.

Introduction to 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.

Transportation infrastructures, including roads, bridges, tunnels, stations, airports and subways, play fundamental roles in modern society. Engineering failures of transportation infrastructures may result in significant damage to the public. The traditional methods are to monitor, store and analyse the information during the infrastructure and material design, testing, construction, numerical simulations, evaluation, operation, maintenance and preservation, using mechanistic-based, material-based and statistics-based approaches. In recent decades, artificial intelligence (AI) has drawn the attention of many researchers and has been used as a powerful tool to understand and analyse the engineering failures in transportation infrastructure and materials. AI has the advantages of conveniently characterizing infrastructure materials in multi-scale, extracting failure information from images and cloud points, evaluating performance from the signals of sensors, predicting the long-term performance of infrastructure based on big data and optimizing infrastructure maintenance strategies, etc. In the future, AI techniques will be more effective and promising for data collection, transmission, fusion, mining and analysis, which will help engineers quickly detect, analyse and finally prevent the engineering failures of transportation infrastructure and materials. This theme issue presents the latest developments of AI in failure analysis of transportation infrastructure and materials. This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.

A machine learning-based approach to assess impacts of autonomous vehicles on pavement roughness.

Studies have been initiated to investigate the potential impact of connected and automated vehicles (CAVs) on transportation infrastructure. However, most existing research only focuses on the wandering patterns of CAVs. To bridge this gap, an apple-to-apple comparison is first performed to systematically reveal the behavioural differences between the human-driven vehicle (HDV) and CAV trajectory patterns for the first time, with the data collected from the camera-based next generation simulation dataset and autonomous driving co-simulation platform, CARLA and SUMO, respectively. A gradient boosting-based ensemble learning model for pavement performance (i.e. international roughness index) prediction is then developed with the input features including three driving pattern features, namely, lateral wandering deviation, longitudinal car-following distance and driving speed, plus 20 other context variables. A total of 1707 observations is extracted from the long-term pavement performance database for model training purposes. The result indicates that the trained model can accurately predict pavement deterioration and that CAV deteriorates pavement faster than HDV by 8.1% on average. According to the sensitivity analysis, CAV deployment will create a greater impact on the younger pavements, and the rate of pavement deterioration is found to be stable under light traffic, whereas it will increase under congested traffic. This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.

Drosophila photoreceptor systems converge in arousal neurons and confer light responsive robustness.

Lateral ventral neurons (LNvs) in the fly circadian neural circuit mediate behaviors other than clock resetting, including light-activated acute arousal. Converging sensory inputs often confer functional redundancy. The LNvs have three distinct light input pathways: (1) cell autonomously expressed cryptochrome (CRY), (2) rhodopsin 7 (Rh7), and (3) synaptic inputs from the eyes and other external photoreceptors that express opsins and CRY. We explored the relative photoelectrical and behavioral input contributions of these three photoreceptor systems to determine their functional impact in flies. Patch-clamp electrophysiology measuring light evoked firing frequency (FF) was performed on large LNvs (l-LNvs) in response to UV (365 nm), violet (405 nm), blue (450 nm), or red (635 nm) LED light stimulation, testing controls versus mutants that lack photoreceptor inputs gl60j, cry-null, rh7-null, and double mutant gl60j-cry-null flies. For UV, violet, and blue short wavelength light inputs, all photoreceptor mutants show significantly attenuated action potential FF responses measured in the l-LNv. In contrast, red light FF responses are only significantly attenuated in double mutant gl60j-cry-null flies. We used a light-pulse arousal assay to compare behavioral responses to UV, violet, blue and red light of control and light input mutants, measuring the awakening arousal response of flies during subjective nighttime at two different intensities to capture potential threshold differences (10 and 400 µW/cm2). The light arousal behavioral results are similar to the electrophysiological results, showing significant attenuation of behavioral light responses for mutants compared to control. These results show that the different LNv convergent photoreceptor systems are integrated and together confer functional redundancy for light evoked behavioral arousal.

Effects of the COVID-19 pandemic on sales of sexual and reproductive health products: an ecological study of pharmacies in Kenya.

OBJECTIVES: To examine how sales of sexual and reproductive health (SRH) products varied among pharmacies in Kenya using administrative data, leveraging natural variation in the COVID-19 pandemic and accompanying policy restrictions between 2019 and 2021. DESIGN AND SETTING: Ecological study of pharmacies in Kenya. PARTICIPANTS: 761 pharmacies using the Maisha Meds product inventory management system (capturing 572 916 products sold). OUTCOMES: Sales quantity, price and revenue of SRH products sold per pharmacy per week. RESULTS: COVID-19 deaths were associated with a -2.97% (95% CI -3.82%, -2.11%) decrease in sales quantity, a 1.09% (95% CI 0.44%, 1.72%) increase in sales price and a -1.89% (-1.00%, -2.79%) decrease in revenues per pharmacy per week. Results were similar when considering new COVID-19 cases (per 1000) and the Average Policy Stringency Index. Results differed substantially between individual SRH products-a large decrease in sales quantity in pregnancy tests, injectables and emergency contraception, a modest decrease in condoms and no change in oral contraception. Sales price increases were similarly varied; four of the five most sold products were revenue neutral. CONCLUSIONS: We found a robust negative association between SRH sales at pharmacies in Kenya and COVID-19 reported cases, deaths and policy restriction. Although our data cannot definitively point to reduced access, existing evidence from Kenya regarding unchanged fertility intentions, increases in unintended pregnancies and reported reasons for non-use of contraceptives during COVID-19 suggests a prominent role of reduced access. While policymakers may have a role in sustaining access, their role may be limited by broader macroeconomic problems, such as global supply chain disruptions and inflation, during supply shocks.

DORA-compliant measures of research quality and impact to assess the performance of researchers in biomedical institutions: Review of published research, international best practice and Delphi survey.

OBJECTIVE: The San Francisco Declaration on Research Assessment (DORA) advocates for assessing biomedical research quality and impact, yet academic organizations continue to employ traditional measures such as Journal Impact Factor. We aimed to identify and prioritize measures for assessing research quality and impact. METHODS: We conducted a review of published and grey literature to identify measures of research quality and impact, which we included in an online survey. We assembled a panel of researchers and research leaders, and conducted a two-round Delphi survey to prioritize measures rated as high (rated 6 or 7 by ≥ 80% of respondents) or moderate (rated 6 or 7 by ≥ 50% of respondents) importance. RESULTS: We identified 50 measures organized in 8 domains: relevance of the research program, challenges to research program, or productivity, team/open science, funding, innovations, publications, other dissemination, and impact. Rating of measures by 44 panelists (60%) in Round One and 24 (55%) in Round Two of a Delphi survey resulted in consensus on the high importance of 5 measures: research advances existing knowledge, research plan is innovative, an independent body of research (or fundamental role) supported by peer-reviewed research funding, research outputs relevant to discipline, and quality of the content of publications. Five measures achieved consensus on moderate importance: challenges to research productivity, potential to improve health or healthcare, team science, collaboration, and recognition by professional societies or academic bodies. There was high congruence between researchers and research leaders across disciplines. CONCLUSIONS: Our work contributes to the field by identifying 10 DORA-compliant measures of research quality and impact, a more comprehensive and explicit set of measures than prior efforts. Research is needed to identify strategies to overcome barriers of use of DORA-compliant measures, and to "de-implement" traditional measures that do not uphold DORA principles yet are still in use.

Effects of proactive vs fixed community health care delivery on child health and access to care: a cluster randomised trial secondary endpoint analysis.

Background: Professional community health workers (CHWs) can help achieve universal health coverage, although evidence gaps remain on how to optimise CHW service delivery. We conducted an unblinded, parallel, cluster randomised trial in rural Mali to determine whether proactive CHW delivery reduced mortality and improved access to health care among children under five years, compared to passive delivery. Here we report the secondary access endpoints. Methods: Beginning from 26-28 February 2017, 137 village-clusters were offered care by CHWs embedded in communities who were trained, paid, supervised, and integrated into a reinforced public-sector health system that did not charge user fees. Clusters were randomised (stratified on primary health centre catchment and distance) to care during CHWs during door-to-door home visits (intervention) or based at a fixed village site (control). We measured outcomes at baseline, 12-, 24-, and 36-month time points with surveys administered to all resident women aged 15-49 years. We used logistic regression with cluster-level random effects to estimate intention-to-treat and per-protocol effects over time on prompt (24-hour) treatment within the health sector. Results: Follow-up surveys between February 2018 and April 2020 generated 20 105 child-year observations. Across arms, prompt health sector treatment more than doubled compared to baseline. At 12 months, children in intervention clusters had 22% higher odds of receiving prompt health sector treatment than those in control (cluster-specific adjusted odds ratio (aOR) = 1.22; 95% confidence interval (CI) = 1.06, 1.41, P = 0.005), or 4.7 percentage points higher (adjusted risk difference (aRD) = 0.047; 95% CI = 0.014, 0.080). We found no evidence of an effect at 24 or 36 months. Conclusions: CHW-led health system redesign likely drove the 2-fold increase in rapid child access to care. In this context, proactive home visits further improved early access during the first year but waned afterwards. Registration: ClinicalTrials.gov NCT02694055.

A meta-analysis of internet-based cognitive behavioral therapy for military and veteran populations.

BACKGROUND: Military and veteran populations are unique in their trauma exposures, rates of mental illness and comorbidities, and response to treatments. While reviews have suggested that internet-based Cognitive Behavioral Therapy (iCBT) can be useful for treating mental health conditions, the extent to which they may be appropriate for military and veteran populations remain unclear. The goals of the current meta-analysis are to: (1) substantiate the effects of iCBT for military and veteran populations, (2) evaluate its effectiveness compared to control conditions, and (3) examine potential factors that may influence their effectiveness. METHODS: This review was completed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting and Cochrane review guidelines. The literature search was conducted using PsycInfo, Medline, Embase, and Proquest Dissertation & Theses on June 4, 2021 with no date restriction. Inclusion criteria included studies that: (1) were restricted to adult military or veteran populations, (2) incorporated iCBT as the primary treatment, and (3) evaluated mental health outcomes. Exclusion criteria included: (1) literature reviews, (2) qualitative studies, (3) study protocols, (4) studies that did not include a clinical/analogue population, and (5) studies with no measure of change on outcome variables. Two independent screeners reviewed studies for eligibility. Data was pooled and analyzed using random-effects and mixed-effects models. Study data information were extracted as the main outcomes, including study condition, sample size, and pre- and post-treatment means, standard deviations for all assessed outcomes, and target outcome. Predictor information were also extracted, and included demographics information, the types of outcomes measured, concurrent treatment, dropout rate, format, length, and delivery of intervention. RESULTS: A total of 20 studies and 91 samples of data were included in the meta-analysis. The pooled effect size showed a small but meaningful effect for iCBT, g = 0.54, SE = 0.04, 95% CI (0.45, 0.62), Z = 12.32, p < .001. These effects were heterogenous across samples, (I2 = 87.96), Q(90) = 747.62, p < .001. Predictor analyses found length of intervention and concurrent treatment to influence study variance within sampled studies, p < .05. Evaluation of iCBT on primary outcomes indicated a small but meaningful effect for PTSD and depression, while effects of iCBT on secondary outcomes found similar results with depression, p < .001. CONCLUSIONS: Findings from the meta-analysis lend support for the use of iCBT with military and veteran populations. Conditions under which iCBT may be optimized are discussed.

Faculty-Wide Peer-Support Program During the COVID-19 Pandemic: Design and Preliminary Results.

BACKGROUND: Physicians experience higher rates of burnout relative to the general population. Concerns of confidentiality, stigma, and professional identities as health care providers act as barriers to seeking and receiving appropriate support. In the context of the COVID-19 pandemic, factors that contribute to burnout and barriers to seeking support have been amplified, elevating the overall risks of mental distress and burnout for physicians. OBJECTIVE: This paper aimed to describe the rapid development and implementation of a peer support program within a health care organization located in London, Ontario, Canada. METHODS: A peer support program leveraging existing infrastructures within the health care organization was developed and launched in April 2020. The "Peers for Peers" program drew from the work of Shapiro and Galowitz in identifying key components within hospital settings that contributed to burnout. The program design was derived from a combination of the peer support frameworks from the Airline Pilot Assistance Program and the Canadian Patient Safety Institute. RESULTS: Data gathered over 2 waves of peer leadership training and program evaluations highlighted a diversity of topics covered through the peer support program. Further, enrollment continued to increase in size and scope over the 2 waves of program deployments into 2023. CONCLUSIONS: Findings suggest that the peer support program is acceptable to physicians and can be easily and feasibly implemented within a health care organization. The structured program development and implementation can be adopted by other organizations in support of emerging needs and challenges.

Effect of community health worker home visits on antenatal care and institutional delivery: an analysis of secondary outcomes from a cluster randomised trial in Mali.

INTRODUCTION: Though community health workers (CHWs) have improved access to antenatal care (ANC) and institutional delivery in different settings, it is unclear what package and delivery strategy maximises impact. METHODS: This study reports a secondary aim of the Proactive Community Case Management cluster randomised trial, conducted between December 2016 and April 2020 in Mali. It evaluated whether proactive home visits can improve ANC access at a population level compared with passive site-based care. 137 unique village clusters, covering the entire study area, were stratified by health catchment area and distance to the nearest primary health centre. Within each stratum, clusters were randomly assigned to intervention or control arm. CHWs in intervention clusters proactively visited all homes to provide care. In the control clusters, CHWs provided the same services at their fixed community health post to care-seeking patients. Pregnant women 15-49 years old were enrolled in a series of community-based and facility-based visits. We analysed individual-level annual survey data from baseline and 24-month and 36-month follow-up for the secondary outcomes of ANC and institutional delivery, complemented with CHW monitoring data during the trial period. We compared outcomes between: (1) the intervention and control arms, and (2) the intervention period and baseline. RESULTS: With 2576 and 2536 pregnancies from 66 and 65 clusters in the intervention and control arms, respectively, the estimated risk ratios for receiving any ANC was 1.05 (95% CI 1.02 to 1.07), four or more ANC visits was 1.25 (95% CI 1.08 to 1.43) and ANC initiated in the first trimester was 1.11 (95% CI 1.02 to 1.19), relative to the controls; no differences in institutional delivery were found. However, both arms achieved large improvements in institutional delivery, compared with baseline. Monitoring data show that 19% and 2% of registered pregnancies received at least eight ANC contacts in the intervention and control arms, respectively. Six clusters, three from each arm had to be dropped in the last 2 years of the trial. CONCLUSIONS: Proactive home visits increased ANC and the number of antenatal contacts at the clinic and community levels. ANC and institutional delivery can be increased when provided without fees from professional CHWs in upgraded primary care clinics. TRIAL REGISTRATION NUMBER: NCT02694055.

Preference-Aligned Fertility Management as a Person-Centered Alternative to Contraceptive Use-Focused Measures.

Equating contraceptive use with programmatic success is fundamentally flawed in failing to account for whether individuals desire contraceptive use; this is problematic because nonuse can reflect empowered decision-making and use may reflect an individual's inability to refuse or discontinue a method. A rights-based approach demands respect for individuals' freedom to weigh options and choose how their desire for pregnancy prevention can be accommodated by available methods and within the context of their own personal, social, and material constraints. We offer an alternative construct, preference-aligned fertility management (PFM), that provides a more holistic indicator of whether one's contraceptive needs are met. PFM is more person-centered and informative for programming than status quo measures of unmet need, demand satisfied, and contraceptive use which define a positive outcome in relation to pregnancy risk rather than one's stated preferences. The PFM approach goes beyond other recent proposals for modifying the concept of unmet need by refraining from judgment of legitimate reasons for nonuse of contraception and offers a straightforward way to capture whether people act in line with their preferences. We conclude with discussion of how we plan to measure PFM in the Innovations for Choice and Autonomy (ICAN) study in Nigeria and Uganda.