Rachel C Sumner1, Diane M Crone2, Colin Baker3, Samantha Hughes2, Elizabeth A Loughren2, David V B James3. 1. School of Natural & Social Sciences, University of Gloucestershire, Gloucestershire, UK. 2. School of Health and Social Care, University of Gloucestershire, Gloucestershire, UK. 3. School of Sport and Exercise Science, University of Gloucestershire, Gloucestershire, UK.
Abstract
BACKGROUND: Arts on prescription interventions have grown in number in recent years with a corresponding evidence base in support. Despite the growth and presence of these interventions, there have been no evaluations to date as to what factors predict patient success within these referral schemes. METHODS: Using the largest cohort of patient data to date in the field (N = 1297), we set out to understand those factors that are associated with attendance, programme engagement and wellbeing change of patients. Factors associated with these outcomes were assessed using three binary logistic regression models. RESULTS: Baseline wellbeing was associated with each outcome, with higher baseline wellbeing being associated with attendance and engagement, and lower baseline wellbeing associated with positive wellbeing change. Additionally, deprivation was associated with attendance, with those from the median deprivation quintile being more likely to attend. CONCLUSIONS: The role of baseline wellbeing in each outcome of these analyses is the most critical associative factor. Whilst those that are lower in wellbeing have more to gain from these interventions, they are also less likely to attend or engage, meaning they may need additional support in commencing these types of social prescribing interventions.
BACKGROUND: Arts on prescription interventions have grown in number in recent years with a corresponding evidence base in support. Despite the growth and presence of these interventions, there have been no evaluations to date as to what factors predict patient success within these referral schemes. METHODS: Using the largest cohort of patient data to date in the field (N = 1297), we set out to understand those factors that are associated with attendance, programme engagement and wellbeing change of patients. Factors associated with these outcomes were assessed using three binary logistic regression models. RESULTS: Baseline wellbeing was associated with each outcome, with higher baseline wellbeing being associated with attendance and engagement, and lower baseline wellbeing associated with positive wellbeing change. Additionally, deprivation was associated with attendance, with those from the median deprivation quintile being more likely to attend. CONCLUSIONS: The role of baseline wellbeing in each outcome of these analyses is the most critical associative factor. Whilst those that are lower in wellbeing have more to gain from these interventions, they are also less likely to attend or engage, meaning they may need additional support in commencing these types of social prescribing interventions.
Authors: Hendrik Napierala; Karen Krüger; Doreen Kuschick; Christoph Heintze; Wolfram J Herrmann; Felix Holzinger Journal: Int J Integr Care Date: 2022-08-19 Impact factor: 2.913
Authors: Matthew Cooper; Leah Avery; Jason Scott; Kirsten Ashley; Cara Jordan; Linda Errington; Darren Flynn Journal: BMJ Open Date: 2022-07-25 Impact factor: 3.006