Challenges in implementing GP clusters in Scotland: a qualitative study comparing the views of senior primary care stakeholders in 2016 with those in 2021.

BACKGROUND: Formation of GP clusters began in Scotland in April 2016 as part of a new Scottish GP contract. They aim to improve the care quality for local populations (intrinsic role) and the integration of health and social care (extrinsic role). AIM: To compare predicted challenges of cluster implementation in 2016 with reported challenges in 2021. DESIGN & SETTING: Qualitative study of senior national stakeholders in primary care in Scotland. METHOD: Qualitative analysis of semi-structured interviews with 12 senior primary care national stakeholders in 2016 (n = 6) and 2021 (n = 6). RESULTS: Predicted challenges in 2016 included balancing intrinsic and extrinsic roles, providing sufficient support, maintaining motivation and direction, and avoiding variation between clusters. Progress of clusters in 2021 was perceived as suboptimal and was reported to vary significantly across the country, reflecting differences in local infrastructure. Practical facilitation (data, administrative support, training, project improvement support, and funded time) and strategic guidance from the Scottish Government was felt to be lacking. GP engagement with clusters was felt to be hindered by the significant time and workforce pressures facing primary care. These barriers were considered as collectively contributing to cluster lead 'burnout' and loss of momentum, exacerbated by inadequate opportunities for shared learning between clusters across Scotland. Such barriers preceded, but were perpetuated by, the impact of the COVID-19 pandemic. CONCLUSION: Apart from the COVID-19 pandemic, many of the challenges reported by stakeholders in 2021 were predicted in 2016. Accelerating progress in cluster working will require renewed investment and support applied consistently across the country.

Correlations of disease severity and age with hematology parameter variations in patients with COVID-19 pre- and post-treatment.

BACKGROUND: For better understanding of the pathological changes of COVID-19, benefiting clinical management of the disease and the preparation for future waves of similar pandemics. METHODS: Hematology parameters from a total of 52 cases of COVID-19 admitted for treatment in a designated hospital were retrospectively analyzed. Data were analyzed by SPSS statistical software. RESULTS: Pre-treatment T-cell subsets, total lymphocytes, red blood cell distribution width (RDW), eosinophils, and basophils were significantly lower than that of post-treatment, while the inflammatory indexes neutrophils, neutrophil to lymphocyte ratio (NLR), and C-reactive protein (CRP) levels, as well as red blood cell (RBC) and hemoglobin, were significantly reduced after treatment. The T-cell subsets, total lymphocytes, and basophils in severely and critically ill patients were significantly lower than those in moderately ill patients. Neutrophils, NLR, eosinophils, procalcitonin (PCT), and CRP was significantly higher in severely and critically ill patients than in moderately ill patients. CD3+, CD8+, total lymphocytes, platelets, and basophils in patients older than 50 were lower than that of those younger than 50, while neutrophils, NLR, CRP, and RDW in patients older than 50 were higher than that of younger than 50. There was a positive correlation among prothrombin time (PT), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) in severely and critically ill patients. CONCLUSIONS: T-cell subsets, lymphocyte count, RDW, neutrophils, eosinophils, NLR, CRP, PT, ALT, and AST are important indicators in the management especially for severely and critically ill patients with COVID-19.