Introduction Community engagement has been considered a fundamental component of past outbreaks, such as Ebola. However, there is concern over the lack of involvement of communities and ‘bottom-up’ approaches used within COVID-19 responses thus far. Identifying how community engagement approaches have been used in past epidemics may support more robust implementation within the COVID-19 response. Methodology A rapid evidence review was conducted to identify how community engagement is used for infectious disease prevention and control during epidemics. Three databases were searched in addition to extensive snowballing for grey literature. Previous epidemics were limited to Ebola, Zika, SARS, Middle East respiratory syndromeand H1N1 since 2000. No restrictions were applied to study design or language. Results From 1112 references identified, 32 articles met our inclusion criteria, which detail 37 initiatives. Six main community engagement actors were identified: local leaders, community and faith-based organisations, community groups, health facility committees, individuals and key stakeholders. These worked on different functions: designing and planning, community entry and trust building, social and behaviour change communication, risk communication, surveillance and tracing, and logistics and administration. Conclusion COVID-19’s global presence and social transmission pathways require social and community responses. This may be particularly important to reach marginalised populations and to support equity-informed responses. Aligning previous community engagement experience with current COVID-19 community-based strategy recommendations highlights how communities can play important and active roles in prevention and control. Countries worldwide are encouraged to assess existing community engagement structures and use community engagement approaches to support contextually specific, acceptable and appropriate COVID-19 prevention and control measures.

Community Health Workers are widely utilised in low- and middle-income countries and may be an important tool in reducing maternal and child mortality; however, evidence is lacking on their effectiveness for specific types of programmes, specifically programmes of a preventive nature. This review reports findings on a systematic review analysing effectiveness of preventive interventions delivered by Community Health Workers for Maternal and Child Health in low- and middle-income countries.

Realist evaluations are increasingly used in the study of complex health interventions. The methodological procedures applied within realist evaluations however are often inexplicit, prompting scholars to call for increased transparency and more detailed description within realist studies. This publication details the data analysis and synthesis process used within two realist evaluation studies of community health interventions taking place across Uganda, Tanzania, and Kenya. Using data from several case studies across all three countries and the data analysis software NVivo, we describe in detail how data were analyzed and subsequently synthesized to refine middle-range theories. We conclude by discussing the strengths and weaknesses of the approach taken, providing novel methodological recommendations. The aim of providing this detailed descriptive account of the analysis and synthesis in these two studies is to promote transparency and contribute to the advancement of realist evaluation methodologies.

The realist review/synthesis has become an increasingly prominent methodological approach to evidence synthesis that can inform policy and practice. While there are publication standards and guidelines for the conduct of realist reviews, published reviews often provide minimal detail regarding how they have conducted some methodological steps. This includes selecting and appraising evidence sources, which are often considered for their ‘relevance, richness and rigour.’ In contrast to other review approaches, for example, narrative reviews and meta‐analyses, the inclusion criteria and appraisal of evidence within realist reviews depend less on the study's methodological quality and more on its contribution to our understanding of generative causation, uncovered through the process of retroductive theorising. This research brief aims to discuss the current challenges and practices for appraising documents' relevance, richness and rigour and to provide pragmatic suggestions for how realist reviewers can put this into practice.

Background: The World Health Organization will publish its 11^th revision of the International Classification of Diseases (ICD-11) in 2018. The ICD-11 will include a refined model of posttraumatic stress disorder (PTSD) and a new diagnosis of complex PTSD (CPTSD). Whereas emerging data supports the validity of these proposals, the discriminant validity of PTSD and CPTSD have yet to be tested amongst a sample of refugees.Methods: Treatment-seeking Syrian refugees (N = 110) living in Lebanon completed an Arabic version of the International Trauma Questionnaire; a measure specifically designed to capture the symptom content of ICD-11 PTSD and CPTSD.Results: In total, 62.6% of the sample met the diagnostic criteria for PTSD or CPTSD. More refugees met the criteria for CPTSD (36.1%) than PTSD (25.2%) and no gender differences were observed. Latent class analysis results identified three distinct groups: (1) a PTSD class, (2) a CPTSD class and (3) a low symptom class. Class membership was significantly predicted by levels of functional impairment.Conclusion: Support for the discriminant validity of ICD-11 PTSD and CPTSD was observed for the first time within a sample of refugees. In support of the cross-cultural validity of the ICD-11 proposals, the prevalence of PTSD and CPTSD were similar to those observed in culturally distinct contexts.