This public health intelligence profile describes trends and patterns in smoking prevalence and smoking cessation efforts in Camden. This profile will support and inform: service delivery and decision-making within the Stop Smoking Service (SSS), commissioners of smoking services, including Camden Clinical Commissioning Group (CCG), improvements in processes and outcomes at an individual general practice level

his factsheet provides a focus on children with special education needs and disabilities in Camden.

This public health factsheet describes facts, assets, and strategies related to working age adults’ health in Camden.

Camden Individual Placement Support (IPS) and Camden Work and Wellbeing were two pilot employment support programmes designed to support people with mental health needs into employment. This document is a summary of the evaluation of these programmes.

Camden and Islington annual public health report focusing on tackling health inequalities.

This health and wellbeing profile gives an overview of the burden of ill health in West Hampstead, one of Camden's 18 electoral wards, focusing on areas where Councillors can take action to improve outcomes for residents.

This Public Health Intelligence Profile analyses patterns of alcohol-specific hospital admissions in Camden in 2014/15. In Camden in 2014/15, 519 individuals aged 18 years and over were admitted to hospital specifically because of alcohol. These individuals resulted in 896 alcohol-specific hospital admissions and 3,639 days spent in hospital.

This statement is a review of the 2016 Camden and Islington Public Health position statement, in line with the new evidence reported by PHE.
This updated statement is endorsed by the Breathe Stop Smoking Service operating in both Camden and Islington and by Camden and Islington Public Health.

The Camden and Islington Public Health Intelligence team has recently completed a needs assessment of Long Covid in North Central London, to explore the burden of Long Covid locally, its impact on residents, and analysis of the system response. The analysis highlights that expected prevalence of Long Covid is much higher than recorded diagnoses in primary care, suggesting that many people with Long Covid may not be receiving a formal diagnosis. The analysis also explores patterns in expected prevalence, diagnosis and referral rates by age, gender, deprivation and ethnicity, variation between primary care networks, and analysis of data from NCL’s Post-Covid specialist clinic. This analysis will help to identify opportunities to improve Long Covid awareness, pathways and care.