Primary Care Networks (PCNs) are a new organisational hierarchy with wide-ranging responsibilities introduced in the National Health Service (NHS) Long Term Plan. The vision is that PCNs should represent ‘natural’ communities of general practices (GP practices) collaborating at scale and covering a geography that fits well with practices, other healthcare providers and local communities. Our study published in BMJ Open aims to identify natural communities of GP practices based on patient registration patterns using Markov Multiscale Community Detection, an unsupervised network-based clustering technique to create catchments for these communities. With PCNs expected to take a role in population health management and with community providers expected to reconfigure around them, it is vital to recognise how PCNs represent their communities. Our method may be used by policymakers to understand the populations and geography shared between networks.
Dear Dr, I am writing to refer a 28-year-old male patient of mine, Mr [Patient's Name], for assessment for the diagnosis and treatment of Attention Deficit Hyperactivity Disorder (ADHD). After a thorough clinical assessment, I believe that Mr. [Patient's Name] meets the criteria for adult ADHD as outlined in NHS guidance for primary care teams in SE London. Mr [Patient's Name] has been under my care for XX years and, during this time, he reports several symptoms (greater than five symptoms in total) consistent with ADHD in adults that have been present for more than six months. These symptoms include difficulties in focusing, following through on tasks, hyperactivity, forgetfulness, impulsiveness, restlessness, and irritability. Mr [Patient's Name] also reports being easily distracted, struggling with time management, organisation, and completing tasks efficiently. Many of Mr [Patient's Name]'s symptoms have been present since he was under 12 years old; and have
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