Detailed statistical analysis plan for the difficult airway management (DIFFICAIR) trial

Evaluating the impact of Community-Based Sociotherapy on social dignity in post-genocide Rwanda: study protocol for a cluster randomized controlled trial

BACKGROUND

Community-Based Sociotherapy (CBS) is an approach that was introduced in Rwanda in 2005, with the aim of improving psychosocial well-being among its participants and facilitating reconciliation processes. Over the years, CBS has been adapted contextually and the effectiveness of the approach has been measured in different ways, using qualitative and quantitative study designs. This study specifically assesses the effectiveness of CBS in terms of fostering the social dignity of participants as the primary outcome.

METHODS/DESIGN

A cluster randomized controlled trial design with person-level outcomes whereas the CBS treatment is delivered at the cluster level. A total of 1200 eligible participants will be randomly assigned to two groups in a 1:1 ratio. Participants in the intervention group will receive the CBS intervention, while the control group will be waitlisted. The primary outcome measure is a self-designed and psychometrically validated Social Dignity Scale. The secondary outcome measures will be the WHO (Five) Well-Being Index (WHO-5), the Multidimensional Scale of Perceived Social Support (MSPSS), the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5), the Self-reporting Questionnaire (SRQ-20), and the perceived parental self-efficacy scale. The primary analysis will be performed following an intention to treat analysis, using generalized estimating equation modeling.

DISCUSSION

We expect this cluster randomized controlled trial to provide insight into the effectiveness of CBS on social dignity and secondary psychosocial outcomes among its group participants, who have different socio-historical backgrounds including genocide survivors, perpetrators, bystanders and their descendants, people in conflicts (family/community), and local leaders. This study will inform CBS implementers, policymakers, practitioners, and other stakeholders on the role of social dignity in interventions that focus on psychosocial healing.

TRIAL REGISTRATION

ISRCTN ISRCTN11199072. It was registered on 2 April 2022.

The DIFFMASK score for predicting difficult facemask ventilation: a cohort study of 46,804 patients

Facemask ventilation is an essential part of airway management. Correctly predicting difficulties in facemask ventilation may reduce the risk of morbidity and mortality among patients at risk. We aimed to develop and evaluate a weighted risk score for predicting difficult facemask ventilation during anaesthesia. We analysed a cohort of 46,804 adult patients who were assessed pre-operatively airway for 13 predictors of difficult airway management and subsequently underwent facemask ventilation during general anaesthesia. We developed the Difficult Facemask (DIFFMASK) score in two consecutive steps: first, a multivariate regression analysis was performed; and second, the regression coefficients of the adjusted regression model were converted into a clinically applicable weighted point score. The predictive accuracy of the DIFFMASK score was evaluated by assessment of receiver operating characteristic curves. The prevalence of difficult facemask ventilation was 1.06% (95%CI 0.97-1.16). Following conversion of regression coefficients into 0, 1, 2 or 3 points, the cumulated DIFFMASK score ranged from 0 to 18 points and the area under the receiver operating characteristic curve was 0.82. The Youden index indicated a sum score ≥ 5 as an optimal cut-off value for prediction of difficult facemask ventilation giving a sensitivity of 85% and specificity of 59%. The DIFFMASK score indicated that a score of 6-10 points represents a population of patients who may require heightened attention when facemask ventilation is planned, compared with those patients who are obviously at a high- or low risk of difficulties. The DIFFMASK score may be useful in a clinical context but external, prospective validation is needed.

The Danish Anaesthesia Database

Aim of database

The aim of the Danish Anaesthesia Database (DAD) is the nationwide collection of data on all patients undergoing anesthesia. Collected data are used for quality assurance, quality development, and serve as a basis for research projects.

Study population

The DAD was founded in 2004 as a part of Danish Clinical Registries (Regionernes Kliniske Kvalitetsudviklings Program [RKKP]). Patients undergoing general anesthesia, regional anesthesia with or without combined general anesthesia as well as patients under sedation are registered. Data are retrieved from public and private anesthesia clinics, single-centers as well as multihospital corporations across Denmark. In 2014 a total of 278,679 unique entries representing a national coverage of ~70% were recorded, data completeness is steadily increasing.

Main variable

Records are aggregated for determining 13 defined quality indicators and eleven defined complications all covering the anesthetic process from the preoperative assessment through anesthesia and surgery until the end of the postoperative recovery period.

Descriptive data

Registered variables include patients’ individual social security number (assigned to all Danes) and both direct patient-related lifestyle factors enabling a quantification of patients’ comorbidity as well as variables that are strictly related to the type, duration, and safety of the anesthesia. Data and specific data combinations can be extracted within each department in order to monitor patient treatment. In addition, an annual DAD report is a benchmark for departments nationwide.

Conclusion

The DAD is covering the anesthetic process for the majority of patients undergoing anesthesia in Denmark. Data in the DAD are increasingly used for both quality and research projects.