Developing consensus on the principles and key actions for collaborative working between general practices and community pharmacies: a modified eDelphi study.

OBJECTIVES: To develop consensus on the principles and key actions for collaborative working in practice between general practice, community pharmacy and patients and their carers. DESIGN: Three-round modified eDelphi study, starting from an established conceptual model of collaboration between general practitioners (GPs) and community pharmacists. SETTING: Community pharmacies and general practices in England, UK. PARTICIPANTS: A panel of 123 experts: 43% from a community pharmacy background; 36% from a GP background; 13% patients, carers or patient representatives and 8% from academic or commissioner backgrounds. Panellist numbers reduced by approximately 30% in rounds 2 and 3. PRIMARY AND SECONDARY OUTCOME MEASURES: Consensus between expert panellists, defined as at least 75% agreement. RESULTS: A high level of consensus (>80%) was achieved on all components of a model of collaboration composed of Fundamental Principles of Collaboration and Key Activities for Action, supported by a series of aspirational statements and suggested practical actions. The fundamental principles and key activities are appended by contextual points. The findings indicate that collaboration in practice involves team members other than just GPs and community pharmacists and recognises that patients often want to know how each professional team is involved in their care. This study also provides insights into how collaboration between general practice and community pharmacy settings appears to have shifted during the COVID-19 pandemic, especially through opportunities for virtual collaboration and communication that can transcend the need for close geographical proximity. CONCLUSION: A consensus-based model of collaboration between general practice teams, community pharmacy teams, and patients and their carers has been developed. It is practically focused, values the patient voice and incorporates general practice and community pharmacy team members. While developed in England, the model is likely to also have applicability to other countries with similar health systems that include general practices and community pharmacies.

Evaluating associations between metabolic health, obesity and depressive symptoms: a prospective analysis of data from the English Longitudinal Study of Ageing (ELSA) with a 2­year follow­up.

OBJECTIVES: Conflicting results have been reported when the associations between metabolic health, obesity and depression were examined previously. The primary aim of this study was to determine whether metabolic health or obesity are independently associated with depressive symptoms, among a representative sample of older people living in England. Independent associations between covariates and depression were also examined. DESIGN: Prospective study with a 2-year follow-up. SETTING: The English Longitudinal Study of Ageing Wave 6 (2012-2013) and Wave 7 (2014-2015). PARTICIPANTS: 6804 participants aged older than 50 years. DATA ANALYSIS: Multivariate models were used to determine whether metabolic health or obesity are independently associated with depressive symptoms at 2-year follow-up. Unadjusted and adjusted ORs with corresponding 95% CI were calculated; the adjusted ORs took account of baseline depression, gender, age, wealth, obesity and poor metabolic health. RESULTS: Before adjusting for covariates, poor metabolic health was associated with depressive symptoms at 2-year follow-up (OR 1.24; 95% CI, 1.07 to 1.44, p<0.01). After adjusting for covariates, the association was no longer statistically significant (OR 1.17; 95% CI, 0.99 to 1.38, p=0.07). Similarly, obesity was associated with depressive symptoms at 2-year follow-up before adjusting for covariates (OR 1.54; 95% CI, 1.33 to 1.79, p<0.01). However, after adjusting for covariates the association between obesity and depressive symptoms at 2-year follow-up became statistically insignificant (OR 1.19; 95% CI, 1.00 to 1.41, p=0.06). The strongest predictors for future depression were baseline depression (OR 10.59; 95% CI, 8.90 to 12.53, p<0.01) and lower wealth (OR 3.23; 95% CI, 2.44 to 4.35, p<0.01). CONCLUSION: Neither poor metabolic health nor obesity were associated with a risk of depressive symptoms at 2-year follow-up, after adjusting for covariates. As wealth inequalities continue to rise across England, the risk of depressive symptoms at 2-year follow-up is likely to be elevated in individuals living in the lower wealth quintiles.