Help seeking behavior which is timely and appropriate is an important and complex element of self-management and self directed support (Theme 5) . However, delayed help- seeking which might
lead to negative or life threatening illness is an unintended risk of extending self management and failing to access GP consultations in a timely manner.
This project adopts a population-based approach to investigate the relationship between
socio-economic status, comorbidities and trajectories to cancer diagnosis. Hampshire
Health Record linked to HES data will be used to identify typical event sequences that precede diagnosis, and how these differ by socio-economic status and comorbidities.
The use of sequence analysis (a holistic and process-orientated approach) to identify how patients’
help-seeking behavior, GP management, and health service factors and events contribute
to late diagnosis, will provide new ways of understanding how the interaction between patient and primary health care system influences patient outcomes. The relationship between typologies (typical event sequences), socio-economic status, comorbidities and indicators of early/late diagnosis (cancer survival; curative treatment and cancer stage) will be investigated using causal mediation analysis and multilevel modelling.
CLAHRC and ESRC funded PhD studentship (Weiqi Liao). Research team: Dr. Lucy
Brindle, Professor Dankmar Boehning, Dr Bronagh Walsh, Matt Johnson, Weiqi