Using Normalisation Process Theory to investigate the implementation of school-based oral health promotion

Statistical analysis plan for a cluster randomised controlled trial to compare screening, feedback and intervention for child anxiety problems to usual school practice: identifying Child Anxiety Through Schools-identification to intervention (iCATS-i2i)

BACKGROUND

The Identifying Child Anxiety Through Schools-identification to intervention (iCATS-i2i) trial is being conducted to establish whether 'screening and intervention', consisting of usual school practice plus a pathway comprising screening, feedback and a brief parent-led online intervention (OSI: Online Support and Intervention for child anxiety), bring clinical and health economic benefits compared to usual school practice and assessment only - 'usual school practice', for children aged 8-9 years in the following: (1) the 'target population', who initially screen positive for anxiety problems according to a two-item parent-report child anxiety questionnaire - iCATS-2, and (2) the 'total population', comprising all children in participating classes. This article describes the detailed statistical analysis plan for the trial.

METHODS AND DESIGN

iCATS-i2i is a definitive, superiority, pragmatic, school-based cluster randomised controlled trial (with internal pilot), with two parallel groups. Schools are randomised 1:1 to receive either screening and intervention or usual school practice. This article describes the following: trial objectives and outcomes; statistical analysis principles, including detailed estimand information necessary for aligning trial objectives, conduct, analyses and interpretation when there are different analysis populations and outcome measures to be considered; and planned main analyses, sensitivity and additional analyses.

TRIAL REGISTRATION

ClinicalTrials.gov ISRCTN76119074. Registered on 4 January 2022.

Theory-driven, rapid formative research on quality improvement intervention for critical care of patients with COVID-19 in Argentina

The challenges of implementing interventions in healthcare settings have been more apparent during the COVID-19 pandemic. This pre-implementation evaluation used a rapid qualitative approach to explore barriers and facilitators to an intervention in intensive care units in Argentina, aimed to promote the use of personal protection equipment, provide emotional support for professionals, and achieve patient flow goals. Data were collected using semi-structured interviews with health professionals of 15 public hospitals in Argentina. Normalization Process Theory was used to guide content analysis of the data. Participants identified potential barriers such as the incorporation of non-specialist staff, shortage of resources, lack of communication between groups and shifts. Potential facilitators were also identified: regular feedback and communication related to implementation, adequate training for new and non-specialist staff, and incentives (e.g., scholarships). The immediacy of the pandemic demanded rapid qualitative research, sharing actionable findings in real time.