Objective To explore the trends and age characteristics of vulval cancer incidence, mortality, survival and stage of disease.Design Retrospective population-based observational study based on cancer registry and Office for National Statistics data.Setting England.Population All women diagnosed with vulval cancer, defined by the site of the tumour (ICD-10 code C51).Methods Including all C51 cases, Poisson regression was used to test for trends in incidence and mortality rates, and generalised linear modelling was used to test for trends in relative survival. Excluding women with melanomas, basal cell carcinomas and Paget disease, stage was investigated as a percentage of staged data by age.Main outcome measures Age-standardised incidence and mortality rates, relative survival rates and stage of disease at diagnosis.Results From 1990, there was a statistically significant increase in overall incidence (P = 0.018) and decrease in mortality (P < 0.001). In addition, there were statistically significant increases in overall survival (1-year, P < 0.001; 5-year, P < 0.001). However, from 1990, incidence increased in women aged 20-39 years (P = 0.002), 40-49 and 50-59 years (both P < 0.001) and 60-69 years (P = 0.030) and decreased in women aged 80 years and above (P < 0.001). There were statistically significant decreases in mortality in women aged ≥60 years (P < 0.001), and statistically significant increases in 1-year survival in women aged ≥40 years (P ≤ 0.047) and in 5-year survival in women aged 40-49 and ≥60 years (P ≤ 0.011). Stage patterns by age highlight diagnosis at an earlier stage in younger women and more advanced stage diagnosis in older women.Conclusion Survival from vulval cancer has improved and mortality has decreased since 1990. The overall incidence of disease has increased as a result of more new diagnoses in the under 70-year age group.

The Be Clear on Cancer (BCoC) campaigns have run in England since 2010. They aim to raise awareness of possible cancer symptoms, encouraging people to consult a general practice with these symptoms. Our study provides an overview of the impact of 11 national campaigns, for bowel, lung, bladder and kidney, breast and oesophago‐gastric cancers. We synthesised existing results for each campaign covering seven clinical metrics across the patient pathway from primary care attendances to one‐year net survival. For each metric, “before” and “after” periods were compared to assess change potentially related to the campaign. Results show that primary care attendances for campaign‐related symptoms increased for 9 of 10 campaigns and relevant urgent referrals for suspected cancer increased above general trends for 9 of 11 campaigns. Diagnostic tests increased for 6 of 11 campaigns. For 7 of 11 campaigns, there were increases in cancer diagnoses resulting from an urgent referral for suspected cancer. There were sustained periods where more cancers were diagnosed than expected for 8 of 10 campaigns, with higher than expected proportions diagnosed at an early stage for sustained periods for 4 of 10 campaigns. There was no impact on survival. In summary, there is evidence that the BCoC campaigns impact help‐seeking by patients and referral patterns by general practitioners, with some impact on diagnosis (incidence and stage). There was no clear evidence of impact on survival.

This study describes the development of a pilot sentinel school absence syndromic surveillance system. Using data from a sample of schools in England the capability of this system to monitor the impact of disease on school absences in school-aged children is shown, using the coronavirus disease 2019 (COVID-19) pandemic period as an example. Data were obtained from an online app service used by schools and parents to report their children absent, including reasons/symptoms relating to absence. For 2019 and 2020, data were aggregated into daily counts of ‘total’ and ‘cough’ absence reports. There was a large increase in the number of absence reports in March 2020 compared to March 2019, corresponding to the first wave of the COVID-19 pandemic in England. Absence numbers then fell rapidly and remained low from late March 2020 until August 2020, while lockdown was in place in England. Compared to 2019, there was a large increase in the number of absence reports in September 2020 when schools re-opened in England, although the peak number of absences was smaller than in March 2020. This information can help provide context around the absence levels in schools associated with COVID-19. Also, the system has the potential for further development to monitor the impact of other conditions on school absence, e.g. gastrointestinal infections.