Implementing effective community-based surveillance in research studies of maternal, newborn and infant outcomes in low resource settings

Background Globally adopted health and development milestones have not only encouraged improvements in the health and wellbeing of women and infants worldwide, but also a better understanding of the epidemiology of key outcomes and the development of effective interventions in these vulnerable groups. Monitoring of maternal and child health outcomes for milestone tracking requires the collection of good quality data over the long term, which can be particularly challenging in poorly-resourced settings. Despite the wealth of general advice on conducting field trials, there is a lack of specific guidance on designing and implementing studies on mothers and infants. Additional considerations are required when establishing surveillance systems to capture real-time information at scale on pregnancies, pregnancy outcomes, and maternal and infant health outcomes. Main body Based on two decades of collaborative research experience between the Kintampo Health Research Centre in Ghana and the London School of Hygiene and Tropical Medicine, we propose a checklist of key items to consider when designing and implementing systems for pregnancy surveillance and the identification and classification of maternal and infant outcomes in research studies. These are summarised under four key headings: understanding your population; planning data collection cycles; enhancing routine surveillance with additional data collection methods; and designing data collection and management systems that are adaptable in real-time. Conclusion High-quality population-based research studies in low resource communities are essential to ensure continued improvement in health metrics and a reduction in inequalities in maternal and infant outcomes. We hope that the lessons learnt described in this paper will help researchers when planning and implementing their studies

Factor structure of the Alcohol Expectancies Questionnaire among adolescents in rural Ghana.

Introduction: Children’s early experiences with alcohol inform the development of alcohol-related beliefs which are known to predict alcohol consumption during the critical stage of adolescence. Yet, there has been considerably less research into these alcohol-related cognitions in low and middle-income countries (LMIC) and existing measures of these beliefs are highly reflective of Western contexts, which may not be fully appropriate for use in LMICs. The aim is to ascertain the construct validity of the Alcohol Expectancies Questionnaire (AEQ) in a non-Western sample.Methods: A cross-sectional diagnostic accuracy study involving 500 adolescents aged 10 to 18 years randomly selected from the database of the Navrongo Health and Demographic Surveillance System. Participants were administered the locally back translated version of the 34-item AEQ. Confirmatory factor analysis using the lavaan package in R was conducted to generate indices for the factor structure of the AEQ. Results: Confirmatory factor analyses showed that while groupings of positive and negative expectancies were similar to those observed when expectancies have been assessed previously in Western studies, these formed a single ‘alcohol expectancy’ factor. Questions relating to positive tension reduction and negative physical expectancies showed inconsistent responses in this study. Discussion: Commonly-used tools for the assessment of alcohol expectancies may not be suitable for use in Ghana, possibly owing to their development and validation in Western contexts.Conclusion: These findings have implications for the assessment of alcohol-related beliefs in LMIC settings and begin to map out a research agenda to develop more contextually and culturally-attune alcohol assessments.<br/

Improving the scalability of psychological treatments in developing countries:an evaluation of lay therapist led therapy quality in Goa, India

Psychological treatments delivered by lay therapists, with little or no previous mental health training, have been shown to be effective in treating a range of mental health problems. In low resource settings, the dearth of available experts to assess therapy quality potentially leads to a bottleneck in scaling up laytherapist delivered psychological treatments. Peer-led supervision and the assessment of therapy quality may be one solution to address this barrier. The purpose of this study was two-fold: 1) to assess lay therapist quality ratings compared to expert supervisors in a multisite study where lay therapistsdelivered two locally developed, psychological treatments for harmful and dependent drinking and severe depression; 2) assess the acceptability and feasibility of peer-led supervision compared to expert led supervision. We developed two scales, one for each treatment, to compare lay therapist and expert ratings on audio-taped treatment sessions (n ¼ 189). Our findings confirmed our primary hypothesis of increased levels of agreement between peer and expert ratings over three consecutive time periods as demonstrated by a decrease in the differences in mean therapy quality rating scores. This study highlights that lay therapists can be trained to effectively assess each other's therapy sessions as well as experts, and that peer-led supervision is acceptable for lay therapists, thus, enhancing the scalability of psychological treatments in low-resource settings