Skip to main content

Primary care factors associated with cervical screening coverage in England


An article published recently in the Journal of Public Health by Dr Ji Bang and colleagues reported wide variations in cervical screening uptake, both across primary care trusts (PCTs) and also at general practice level. Rates were lowest in general practices with high proportions of women who are young, non-white, and deprived. The study showed that the proportion of female patients aged 25-49 years, the percentage of black and ethnic minority patients, and the Index of Multiple Deprivation score were all associated with significantly lower rates of cervical screening in both PCTs and individual practices. In contrast, the percentage of female patients aged 50–64 years was associated with higher uptake of cervical screening.

Dr Ji Bang suggested that “a multifaceted approach is needed that includes patients, physicians, individual practices and policy makers,” if cervical screening uptake is to be improved. She also stated that “Performance indicators, such as cervical screening coverage, can be substantially influenced by population factors such as age, ethnicity, and socio-economic status. Using crude performance data to determine the quality of care provided by general practices and PCTs can be misleading. This is an important issue as the UK government has announced this year that the general practice performance data will be made available publicly in the near future.”

The authors concluded that the study illustrated that population and health system characteristics remain important influences on participation in preventative interventions such as cervical screening, even in a health system that offers free of charge access to universal healthcare.


The figure to the left shows the association between the percentage of women aged 50-64 and cervical screening rates in PCTs in England.

Comments

Post a Comment

Popular posts from this blog

What is the difference between primordial prevention and primary prevention?

Primordial prevention and primary prevention are both crucial strategies for promoting health, but they operate at different levels. Primordial prevention aims to address the root causes of health problems and improve the wider determinants of health. It focuses on preventing the emergence of risk factors in the first place by tackling the underlying social, economic, and environmental determinants of health. This involves broad, population-wide interventions such as: Policies that promote healthy food choices: Think about initiatives like taxing sugary drinks to discourage unhealthy consumption, or providing subsidies for fruits and vegetables to make them more accessible. Urban planning that prioritises well-being: This could include creating walkable neighborhoods with safe cycling routes, ensuring access to green spaces for recreation and relaxation, and designing communities that foster social connections. Social programs that address inequality: Initiatives aimed at reducing pov...
Post a Comment
Read more

UK Covid-19 Inquiry - The Importance of a Strong Primary Healthcare System

In my witness statement for Module 10 of the UK Covid-19 Inquiry, I discuss the pandemic's impact through from the perspectives of  primary care and public health, drawing on my extensive experience as a senior academic at Imperial College London and as a practising GP and NHS Public Health Specialist.  I emphasise that the pandemic disproportionately affected people who were clinically vulnerable, the disabled, ethnic minority communities and those living in deprived areas. The pandemic highlighted how structural inequalities, multigenerational housing, and employment in high-risk frontline roles exacerbated health disparities.  My statement also critiques the weakening of public health infrastructure - particularly for the control of infectious diseases - and the lack of integrated health data systems to identify at-risk groups such as the clinically vulnerable. I also advocated for a more robust preventive healthcare model that prioritises community-based primary care ...
Post a Comment
Read more

Relevance Over Recall: Rethinking How AI Uses Clinical Data

Our article in the Journal of the Royal Society of Medicine argues that safe and effective AI in healthcare must incorporate mechanisms that emulate human judgement - down-weighting old, inaccurate or superseded information and prioritising what is recent, clinically relevant and reaffirmed - so that AI supports, rather than disrupts, high-quality patient care.  Clinicians constantly revise, reinterpret and filter past information so that only what is relevant, accurate and timely shapes present-day management decisions; medical records function as dynamic “working tools” rather than fixed archives. By contrast, many AI systems lack this capacity for selective forgetting and often treat all historical data as equally meaningful.  This can lead to outdated or low-confidence diagnoses being repeatedly resurfaced, persistent labels influencing clinical expectations, and irrelevant, long-resolved events cluttering summaries and decision-support outputs. Such indiscriminate recall...
Post a Comment
Read more