Feasibility of using health and wellbeing data for school planning: the SHINE pilot in Scotland.
Stephanie A ChambersDawn HaughtonJudith MabelisJudith BrownJo InchleyPublished in: Health promotion international (2022)
Child and adolescent mental health and wellbeing (MHWB) have received greater attention in recent years due to increases in mental ill health and reports of decreasing subjective wellbeing. The School Health and Wellbeing Improvement Research Network (SHINE) was established to create a national infrastructure to support Scottish schools to collect and use health and wellbeing (HWB) data to inform school improvement action planning. This study aimed to evaluate a pilot of SHINE's provision of school-level HWB data reports from the Health Behaviour in School-aged Children survey and their impact on school action planning. Using a qualitative case study design, we collected data in four local authorities across Scotland via pupil and school staff focus groups (n = 23 groups), and from interviews with senior leaders, school SHINE Leads, other relevant school-level stakeholders, local authority (LA) HWB and data leads (n = 30 interviews). Data analysis was supported using Normalisation Process Theory as a guiding framework. Implementation was at an early stage. Participants indicated that the data reports were an accessible and valuable source of local information to support the improvement agenda. SHINE's expertise supported the lack of research capacity and strengthened HWB data literacy skills in schools. At the point of interview, data reports had not been shared widely within the school community, but there was some limited use of the reports to inform action planning around HWB. Through close working and further engagement with schools, SHINE has the potential to support them to deliver national commitments to improving HWB.
Keyphrases
- mental health
- physical activity
- electronic health record
- data analysis
- mental illness
- healthcare
- big data
- public health
- randomized controlled trial
- clinical trial
- primary care
- machine learning
- quality improvement
- radiation therapy
- squamous cell carcinoma
- lymph node
- social media
- risk assessment
- study protocol
- depressive symptoms
- network analysis
- sleep quality
- health promotion