How not to do a Mindset intervention

The present study examined the effectiveness of a Growth Mindset intervention based on Dweck et al.'s (1995) theory in the Hungarian educational context. A cluster randomized controlled trial classroom experiment was carried out within the framework of a train-the-trainer intervention among 55 Hungarian 10th grade students with high Grade Point Average (GPA). The results suggest that students' IQ and personality mindset beliefs were more incremental in the intervention group than in the control group 3 weeks after the intervention. Furthermore, compared to both the baseline measure and the control group, students' amotivation decreased. However, no intrinsic and extrinsic motivation change was found. Students with low grit scores reported lower amotivation following the intervention. However, in the second follow-up measurement—the end of the semester—all positive changes disappeared; and students' GPA did not change compared to the previous semester. These results show that mindset beliefs are temporarily malleable and in given circumstances, they can change back to their pre-intervention state. The potential explanation is discussed in the light of previous mindset intervention studies and recent findings on wise social psychological interventions

Trauma history predicts depression and posttraumatic stress symptoms better than a psychiatric diagnosis: Comparing wartime, routine time, and early COVID-19 in Israel

Individuals with a psychiatric diagnosis and those with a history of trauma are at high risk for depression and posttraumatic stress symptoms (PTSS) following exposure to new traumatic events. Nevertheless, research is scarce on how having both a psychiatric diagnosis and a trauma history affect reactions to new traumatic events, and how different trauma types may affect individuals with a psychiatric diagnosis. We thus examined whether different stressful contexts (War and COVID-19) affected individuals with and without a psychiatric diagnosis differentially and whether results might be explained by prior trauma exposure. In the same cohort, we assessed depression and PTSS during wartime (2014), routine time (2016), and during the COVID-19 pandemic (2020) in a sample with (n = 89) and without (n = 104) a self-reported psychiatric diagnosis. This cohort was recruited during the 2014 Israel-Gaza War using social media, snowballing and outreach to mental health rehabilitation centres. We used a linear mixed modelling approach on data from the entire sample, as well as on the two study groups separately. We found that trauma history predicted PTSS and depression whereas a history of psychiatric diagnosis did not. Regarding trauma types, we found that individuals in the psychiatric diagnosis group relative to themselves had more symptoms during COVID-19 compared to war and routine time, while those without diagnosis had more PTSS and depression symptoms during wartime compared to routine time and COVID-19. In conclusion, a traumatic past may have an important influence on reactions to different types of traumatic events. Distinct traumatic events may affect individuals with or without a psychiatric diagnosis differentially

Building global capacity for conducting operational research using the SORT IT model: where and who?

This paper is an output of the Structured Operational Research and Training Initiative (SORT IT), a global partnership led by the Special Program for Research and Training in Tropical Diseases at the World Health Organization (WHO/TDR), Geneva, Switzerland.Setting. Research capacity is weakest in low and middle-income countries (LMICs) where operational research is highly relevant and needed. Structured Operational Research and Training Initiative (SORT IT) courses have been developed to train participants to conduct and publish operational research and influence policy and practice. Twenty courses were completed in Asia, Africa, Europe and the South Pacific between 2009 and 2014. Objectives. In the 20 completed SORT IT courses, to assess where the research was conducted, who was trained, who became facilitators in subsequent courses and course outcomes. Design. A cohort study of completed SORT IT courses. Results. There were 236 participants (41% female) including 64 nationalities who conducted research in 59 countries, mostly from Asia and Africa (mean course duration = 9.7 months). Most participants (68%) were from government health programs and non-governmental agencies. A total of 213(90%) participants completed all milestones successfully with 41(19%) becoming subsequent course facilitators, 88% of whom were from LMICs. Of 228 manuscripts submitted to scientific journals, 197(86%) were either published or in press; in 86%, the principal investigator (first author) was a LMIC national. Papers were published in 23 scientific journals (impact factor 0.5–4.4) and covered 21 disease categories (median publication time = 5.7 months). Published papers (186) had 94,794 cumulative article views/downloads. Article views/downloads for immediate open access articles were double those from closed access journals. Conclusion.  The SORT IT model has been effective in training personnel to produce relevant operational research in LMICs. It merits continued commitment and support for further scale-up and development.Publisher PDFPeer reviewe

Does the Structured Operational Research and Training Initiative (SORT IT) continue to influence health policy and/or practice?

Background: The Structured Operational Research and Training Initiative (SORT IT) is a successful model of integrated operational research and capacity building with about 90% of participants completing the training and publishing in scientific journals. Objective: The study aims at assessing the influence of research papers from six SORT IT courses conducted between April 2014 and January 2015 on policy and/or practice. Methods: This was a cross-sectional mixed-method study involving e-mail based, self-administered questionnaires sent to course participants coupled with telephone/Skype/in-person responses from participants, senior facilitators and local co-authors of course papers. A descriptive content analysis was performed to generate themes. Results: Of 71 participants, 67 (94%) completed the course. A total of 67 papers (original research) were submitted for publication, of which 61 (91%) were published or were in press at the censor date (31 December 2016). Among the 67 eligible participants, 65 (97%) responded to the questionnaire. Of the latter, 43 (66%) research papers were self-reported to have contributed to a change in policy and/or practice by the course participants: 38 to a change in government policy or practice (26 at the national level, six at the subnational level and six at the local/hospital level); four to a change in organisational policy or practice; and one study fostered global policy development. Conclusion: Nearly two-thirds of SORT IT course papers contributed to a change in policy and/or practice as reported by the participants. Identifying the actual linkage of research to policy/practice change requires more robust methodology, in-depth assessment and independent validation of the reported change with all concerned stakeholders.Publisher PDFPeer reviewe

Operational Research to Assess the Real-Time Impact of COVID-19 on TB and HIV Services: The Experience and Response from Health Facilities in Harare, Zimbabwe.

When COVID-19 was declared a pandemic, there was concern that TB and HIV services in Zimbabwe would be severely affected. We set up real-time monthly surveillance of TB and HIV activities in 10 health facilities in Harare to capture trends in TB case detection, TB treatment outcomes and HIV testing and use these data to facilitate corrective action. Aggregate data were collected monthly during the COVID-19 period (March 2020-February 2021) using EpiCollect5 and compared with monthly data extracted for the pre-COVID-19 period (March 2019-February 2020). Monthly reports were sent to program directors. During the COVID-19 period, there was a decrease in persons with presumptive pulmonary TB (40.6%), in patients registered for TB treatment (33.7%) and in individuals tested for HIV (62.8%). The HIV testing decline improved in the second 6 months of the COVID-19 period. However, TB case finding deteriorated further, associated with expiry of diagnostic reagents. During the COVID-19 period, TB treatment success decreased from 80.9 to 69.3%, and referral of HIV-positive persons to antiretroviral therapy decreased from 95.7 to 91.7%. Declining trends in TB and HIV case detection and TB treatment outcomes were not fully redressed despite real-time monthly surveillance. More support is needed to transform this useful information into action

Assessing the Real-Time Impact of COVID-19 on TB and HIV Services: The Experience and Response from Selected Health Facilities in Nairobi, Kenya

There was concern that the COVID-19 pandemic would adversely affect TB and HIV programme services in Kenya. We set up real-time monthly surveillance of TB and HIV activities in 18 health facilities in Nairobi so that interventions could be implemented to counteract anticipated declining trends. Aggregate data were collected and reported monthly to programme heads during the COVID-19 period (March 2020–February 2021) using EpiCollect5 and compared with monthly data collected during the pre-COVID period (March 2019–February 2020). During the COVID-19 period, there was an overall decrease in people with presumptive pulmonary TB (31.2%), diagnosed and registered with TB (28.0%) and in those tested for HIV (50.5%). Interventions to improve TB case detection and HIV testing were implemented from August 2020 and were associated with improvements in all parameters during the second six months of the COVID-19 period. During the COVID-19 period, there were small increases in TB treatment success (65.0% to 67.0%) and referral of HIV-positive persons to antiretroviral therapy (91.2% to 92.9%): this was more apparent in the second six months after interventions were implemented. Programmatic interventions were associated with improved case detection and treatment outcomes during the COVID-19 period, suggesting that monthly real-time surveillance is useful during unprecedented events

Improving Adherence and Clinical Outcomes in Self-Guided Internet Treatment for Anxiety and Depression: A 12-Month Follow-Up of a Randomised Controlled Trial

Background: A recent paper reported the outcomes of a study examining a new self-guided internet-delivered treatment, the Wellbeing Course, for symptoms of anxiety or depression. This study found the intervention resulted in significant symptom reductions. It also found that automated emails increased treatment completion and clinical improvements in a subsample with elevated anxiety and depression. Aims: To examine the clinical outcomes and the effect of automated emails at 12 months post-treatment. Method: Participants, who were randomly allocated to a Treatment Plus Automated Emails Group (TEG; n = 100), a standard Treatment Group (TG; n = 106) or delayed-treatment Waitlist Control Group (Control; n = 51), were followed up at 12 months post-treatment. Eighty-one percent, 78% and 87% of participants in the TEG, TG and treated Waitlist Control Group provided symptom data at 12-month follow-up, respectively. The primary outcome measures were the Patient Health Questionnaire-9 Item Scale (PHQ-9) and the Generalized Anxiety Disorder-7 Item Scale (GAD-7).Results: Significant improvements in symptoms of anxiety and depression were observed over time in both the TEG and TG (Fs >69, ps .05), and were associated with large effect sizes. No statistically significant differences in symptoms were found between the TEG and TG at post-treatment, 3-month or 12-month follow-up. Previously reported symptom differences between TEG and TG participants with comorbid symptoms were no longer present at 12-month follow-up (ps >.70).Conclusions: The overall benefits of the Wellbeing Course were sustained at 12-month follow-up. Although automated emails facilitated Course completion and reductions in symptoms for participants with comorbid anxiety and depression from pre-post treatment, these differences were no longer observed at 12-month follow-up. The results indicate that automated emails promote more rapid treatment response for people with elevated and comorbid symptoms, but may not improve longer term outcomes

A Comparison of Depression and Anxiety among University Students in Nine Countries during the COVID-19 Pandemic.

The mental health of young adults, particularly students, is at high risk during the COVID-19 pandemic. The purpose of this studywas to examine differences inmental health between university students in nine countries during the pandemic. The study encompassed 2349 university students (69% female) from Colombia, the Czech Republic (Czechia), Germany, Israel, Poland, Russia, Slovenia, Turkey, and Ukraine. Participants underwent the following tests: Patient Health Questionnaire (PHQ-8), Generalized Anxiety Disorder (GAD-7), Exposure to COVID-19 (EC-19), Perceived Impact of Coronavirus (PIC) on students’ well-being, PhysicalActivity (PA), andGeneral Self-ReportedHealth (GSRH). The one-wayANOVAshowed significant differences between countries. The highest depression and anxiety risk occurred in Turkey, the lowest depression in the Czech Republic and the lowest anxiety in Germany. The 2 independence test showed that EC-19, PIC, and GSRHwere associatedwith anxiety and depression inmost of the countries, whereas PA was associated in less than half of the countries. Logistic regression showed distinct risk factors for each country. Gender and EC-19 were the most frequent predictors of depression and anxiety across the countries. The role of gender and PA for depression and anxiety is not universal and depends on cross-cultural differences. Students’mental health should be addressed froma cross-cultural perspective

Using Touchscreen Electronic Medical Record Systems to Support and Monitor National Scale-Up of Antiretroviral Therapy in Malawi

Gerry Douglas and colleagues describe the rationale and their experience with scaling up electronic health records in six antiretroviral treatment sites in Malawi

Preschool Teachers’ Psychological Distress and Work Engagement during COVID-19 Outbreak: The Protective Role of Mindfulness and Emotion Regulation

COVID-19 has dramatically affected the mental health and work environment of the educational sector. Our primary aim was to investigate preschool teachers’ psychological distress and work engagement during the COVID-19 outbreak, while examining the possible protective role of participating in a mindfulness-based intervention geared to foster compassion (Call2Care-Israel for Teachers; C2C-IT) and emotion regulation. The prevalence of emotional distress, work engagement, and COVID-19 concerns were evaluated in 165 preschool teachers in the early stages of the COVID-19 outbreak in Israel through questionnaires. The findings showed that preschool teachers experienced increased emotional distress. Teachers who had participated in the C2C-IT intervention six months before the pandemic outbreak (N = 41) reported lower emotional distress, higher use of adaptive emotion regulation strategies, and higher work engagement, compared to their counterparts that had not participated in the intervention (N = 124). Emotion regulation strategies mediated the link between participating in CTC-IT intervention and emotional distress and work engagement. Teaching is a highly demanding occupation, especially during a pandemic, thus making it important to invest resources in empowering this population. The findings here suggest that the implementation of a mindfulness-based intervention during the school year can enhance teachers’ well-being, even during stressful events such as the COVID-19 pandemic