ObjectiveThis meta-review aimed to provide a comprehensive overview of overall mental health of healthcare professionals during the COVID-19 pandemic.MethodWe conducted a comprehensive literature search on Academic Search Premier, CINAHL, Cochrane Library, and MEDLINE. A predefined eligibility criterion was used to screen the articles. The methodology quality of eligible studies was assessed using Joanna Briggs Institute checklist for systematic reviews. The data were narratively synthesised in line with the meta-review aim.ResultForty systematic reviews (represented as K = 40), which reported data from 1,828 primary studies (N) and 3,245,768 participants, met the inclusion criteria. The findings from a pooled prevalence indicate that anxiety (16–41%, K = 30, N = 701), depression (14–37%, K = 28, N = 584), and stress/post-traumatic stress disorder (18.6–56.5%, K = 24, N = 327) were the most prevailing COVID-19 pandemic-related mental health conditions affecting healthcare workers. Other reported concerns included insomnia, burnout, fear, obsessive-compulsive disorder, somatization symptoms, phobia, substance abuse, and suicidal thoughts. Considering regions/countries, the highest anxiety was reported in the United-Kingdom [22.3, 95% Confidence Interval (CI):7–38, N = 4] compared to other countries, while the highest depression was in the Middle-East, (41, 95% CI:16–60, N = 5) and stress in the Eastern Mediterranean region (61.6, 95% CI:56.4–66.8, N = 2) compared to other regions. The most significant risk factors include female gender, younger age, being a nurse, and frontline professional. The most-reported coping strategies include individual/group psychological support, family/relative support, training/orientation, and the adequacy of personal protective equipment.ConclusionIt was concluded that healthcare professionals (nurses, doctors, allied health) have experienced various mental health issues during COVID-19 pandemic. The meta-review, therefore, recommends targeted interventions and health policies that address specific mental health issues to support health professionals worldwide during the duration of the COVID-19 pandemic and similar future health crises.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD4202126200, identifier: CRD42021262001.

Introduction: The objectives of this review paper were to synthesize the data from randomized controlled trials in the literature to come to a conclusion on the effects of e-health interventions on promoting physical activity in older people. Methods: The Medline, CINAHL, Embase, PsycINFO, and SportDiscus databases were searched for articles about studies that 1) recruited subjects with a mean age of > 50 years, 2) tested e-health interventions, 3) employed control groups with no or less advanced e-health strategies, 4) measured physical activity as an outcome, 5) were published between 1st January 2008 and 31st May 2019, and 6) employed randomized controlled trials. The risk of bias in individual studies was assessed using the Physiotherapy Evidence Database scale. To examine the effects of the interventions, variables quantifying the amount of physical activity were extracted. The within-group effects of individual studies were summarized using Hedges g and 95% confidence intervals. Between-group effects were summarized by meta-analyses using RevMan 5.0 with a random effect model. Results: Of the 2810 identified studies, 38 were eligible, 25 were included in the meta-analyses. The within-group effect sizes (Hedges g) of physical activity in the intervention group at T1 ranged from small to large: physical activity time (0.12 to 0.84), step counts (− 0.01 to 11.19), energy expenditure (− 0.05 to 0.86), walking time (0.13 to 3.33), and sedentary time (− 0.12 to − 0.28). The delayed effects as observed in T2 and T3 also ranged from small to large: physical activity time (0.24 to 1.24) and energy expenditure (0.15 to 1.32). In the meta-analysis, the betweengroup effect of the e-health intervention on physical activity time measured by questionnaires, physical activity time measured by objective wearable devices, energy expenditure, and step counts were all significant with minimal heterogeneity. Conclusion: E-health interventions are effective at increasing the time spent on physical activity, energy expenditure in physical activity, and the number of walking steps. It is recommended that e-health interventions be included in guidelines to enhance physical activity in older people. Further studies should be conducted to determine the most effective e-health strategies.

Purpose: Functional impairments and socioeconomic constraints associated with stroke affect quality of life (QoL). With limited care and social support resources, there is a greater anticipated decline in QoL among stroke survivors in Africa. This study aims to examine post-stroke QoL, properties of outcome measures adopted and predictors of the QoL among African stroke survivors. Methods: African Journals Online, CINAHL, PsychINFO, PubMed and Web of Science databases were searched from inception to February 2020. Methodological quality was assessed using the Agency for Healthcare Research and Quality (ARHQ) methodology checklist for observational studies. Results: Twenty-eight studies recruiting 2572 (76.4%) stroke survivors and 795 (23.6%) healthy volunteers were included. Studies were conducted in eight African countries between 2007 and 2019. Methodological quality of studies was good. Overall, stroke survivors reported low QoL. Six studies comparing QoL between stroke survivors and healthy controls were pooled for meta-analysis. Results showed a biased-adjusted standardised mean difference (Hedges's g) of 1.13 (95% CI 0.71 to 1.56; p<0.001), indicating better QoL among healthy controls. Only 4 (14.3%) studies used translated or cross-culturally adapted QoL assessment tools. The most commonly reported predictor of QoL was post-stroke disability (35.8% of studies), which is followed by depression (28.6%) and stroke severity (28.6%). Conclusions: Overall, African stroke survivors reported comparatively lower QoL as compared to age-matched healthy controls. This highlights the need for cross-culturally validated assessment tools and more robust poststroke QoL evaluation across the African continent. To improve QoL of stroke survivors in Africa, early interventions should focus on reducing disability and depression associated with stroke.

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Background: Internally Displaced Persons (IDPs) are people who have been forced to flee their homes due to disasters. Depressive symptoms, at over 31–67%, are prevalent in IDPs in Africa. Despite the evidence for the benefits of the promotion of dance interventions on psychological health, supporting information is needed to outline the benefits of an African Circle Dance (ACD) intervention for IDPs in Africa. Methods: A quasi-experimental design (pre-/post-test) was employed. Two IDP camps were randomized into the intervention group (psychoeducation and ACD intervention) and the control group (psychoeducation). Adults aged ≥18 years, living in an IDP camp, able to perform brisk walking, and who scored ≥10 on a depressive symptoms subscale were recruited. The intervention group received an 8-week ACD dance intervention and two 1-h psychoeducation sessions on stress management; the controls only received the psychoeducation sessions. Outcomes were depressive symptoms, stress, and anxiety. Data were collected at baseline (T0), immediately after the intervention at week 8 (T1), and at week 12 (T2) at the post-intervention and follow-up session. A generalized estimating equation was used to test the effects of the ACD intervention, with a 0.05 significance level. Results: 198 IDPs completed the study (ncontrol = 98; nintervention = 100). The intervention group reported significantly greater improvements in depressive symptoms (v = 0.33, p < 0.001) and stress (v = 0.15, 0.008) than did the control group. Conclusions: ACD could be a valuable complementary intervention in health promotion but more research is needed.