Trends over time in the use of Advice and Guidance and variation by sociodemographics and type of health condition: repeated cross-sectional and cohort study

Study type
Protocol
Date of Approval
Study reference ID
24_004022
Lay Summary

When a GP needs a specialist clinician’s input with the care of a patient, they may make a direct referral to that specialist. Another option is to request Advice and Guidance (A&G). A&G is an electronic way for a GP to ask a specialist a clinical question. The response from the specialist may be to advise sending the patient to see the specialist, to try a treatment, or to do a test. A&G was introduced to speed up access to a specialist opinion and cut waiting times for outpatient care. A&G became more important during the COVID-19 pandemic as it meant patients did not automatically need to travel to a hospital. The use of A&G is now encouraged to help the NHS recover from the pandemic. There are few studies though telling us whether A&G has a better or worse effect on patient care than the usual referral system.

As part of a larger programme of work aiming to study the impact of A&G on patients, healthcare workers and the healthcare system, this study will describe how A&G is being used in the NHS. We will use CPRD Aurum to find out how many patients have had A&G requests. We will describe the patterns of A&G use since 2015 and work out whether some patients (for example, older patients, patient with certain illnesses, or patients from particular ethnic or socioeconomic backgrounds) are more likely to have A&G rather than direct referral.

Technical Summary

Advice and Guidance (A&G) allows a primary care clinician to seek expert advice from a specialist, usually in an electronic format. Increasingly, rather than making a direct (elective outpatient) referral, clinicians are being encouraged to use A&G to reduce compound pressures on the NHS. Whilst the use of A&G has been identified as a crucial part of managing NHS waiting lists, there is little evidence of its effectiveness in reducing these compound pressures and some clinicians are reluctant to use it. The potential longer-term risks of harm to patients, such as diagnostic delay, have not been considered.

Our programme of work aims to measure the impact of A&G on patients, clinicians, and the healthcare system in terms of quality of care, satisfaction with the process, and service utilisation. Using CPRD Aurum, Ethnicity Record, CCG pseudonyms and patient-level deprivation the objective of this component is to describe use of A&G by evaluating trends in its prevalence and incidence from January 2015, compared to direct referrals, and variation in its use by socio-demographic and clinical characteristics. Joinpoint and segmented regression will be used to explore the impact of COVID-19 and policy changes on frequency of A&G. Descriptive analysis will assess variation in use of A&G and percentage of A&G requests which end up as a referral by age, sex, geographic region, ethnicity, deprivation, and clinical specialty/nature of health condition.

The other components of this multistage mixed-methods programme are analysis of the impact of A&G on waiting times and outcomes using CPRD Aurum and linked data (protocol to be developed), alongside qualitative research which will explore the experience and perspectives of A&G from patients, clinicians, and commissioners. This will help us to work out whether A&G reduces waiting times and access to specialist care as planned, without making quality of patient care worse.

Health Outcomes to be Measured

Advice and Guidance requests
Direct referrals to specialties

Collaborators

Claire Burton - Chief Investigator - Keele University
Kayleigh Mason - Corresponding Applicant - Keele University
Alice Faux-Nightingale - Collaborator - Keele University
Christian Mallen - Collaborator - Keele University
Clare Jinks - Collaborator - Keele University
James Bailey - Collaborator - Keele University
John Haines - Collaborator - Not from an Organisation
Kelvin Jordan - Collaborator - Keele University
Lorna Clarson - Collaborator - Keele University
Ram Bajpai - Collaborator - Keele University
Rosie Harrison - Collaborator - Keele University
Samantha Hider - Collaborator - Keele University
Toby Helliwell - Collaborator - Keele University
Victoria Welsh - Collaborator - Keele University

Linkages

Patient Level Index of Multiple Deprivation;CCG Pseudonyms;CPRD Aurum Ethnicity Record