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Randomised controlled trials in primary care: case study

Randomised controlled trials in primary care: case study. Doctor Sue Wilson University of Birmingham United Kingdom. Full Reference. Randomised controlled trials in primary care: case study .

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Randomised controlled trials in primary care: case study

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  1. Randomised controlled trials in primary care: case study Doctor Sue Wilson University of Birmingham United Kingdom

  2. Full Reference Randomised controlled trials in primary care: case study . Wilson S, Delaney BC, Roalfe A, Roberts L, Redman V, Wearn A, Hobbs FDR. British Medical Journal. 2000;321:24 – 27 (1 July).

  3. About the Author…. • Senior Research Fellow • Public Health / Cancer Epidemiology background • Interested in design and conduct of high quality research within Primary Care

  4. Learning Objectives • To understand the importance of research in Primary Care • To develop an awareness of issues surrounding randomised controlled trials in a primary care setting

  5. Performance Objectives • To demonstrate awareness of some of the difficulties associated with research in Primary care (e.g. patient / practice recruitment and randomisation)

  6. How will we address this topic? This lecture will discuss some of the issues that must be considered when conducting and interpreting the results of trials in primary care using examples generated during a trial of the management of dyspepsia.

  7. Why choose Dyspepsia? Chronic disease Largely managed in primary care Requires high quality evidence from randomised trials Background to the Lecture

  8. Background continued The Research Question Is open access endoscopy more effective and efficient than routine out patient referral for the management of dyspepsia?

  9. Birmingham Open Access Endoscopy Study • Eligible subjects • Dyspeptic patients (age 18+) • Randomised by sealed envelope • Control: usual management - NOT open access • Study: intervention depends on age

  10. Why do trials in Primary Care? • Over 90% of patient contacts in NHS occur in Primary Care • Relevance of research undertaken in secondary or tertiary care is questionable

  11. Recruitment Bias • Amount of Practitioners vs. time / cost of recruitment / maintenance of practitioners • Number of patients with relevant condition vs. total consultations • Participation of Practices / Practitioners in a defined area

  12. Success in recruiting practices

  13. Practice Characteristics Active practices (n=31) Eligible, not participating (n=216) Wilcoxon rank sum test No. of partners Median (IQR) 3 (2 to 6) 2 (1 to 3) Z = 4.4, P<0.0001 Mean (SD) 3.8 (2.2) 2.2 (1.6) Townsend score: Median (IQR) 1.8 (-0.9 to 4) 4.4 (1.0 to 6.3) Z = -3.2, P<0.01 Mean (SD) 1.5 (2.8) 3.8 (7.4) Z = 4.4, P<0.0001

  14. Recruitment Bias (patients) • Eligible patients not asked /not prepared to enter study • Differences in prevalence / presentation rates • Differences in proportion of eligible patients recruited

  15. Factors affecting recruitment rates • Interest in trial may wane after initial period • Eligible cases will be restricted to incident disease once pool of prevalent cases have been recruited

  16. Case definition: Standardised monthly recruitment rate by duration of participation 4.5 4 3.5 Recruitment Rate per 10,000 3 population 2.5 2 1.5 1 0.5 0 0 10 20 30 40 Time since practice recruited (months)

  17. Ethical Issues and recruitment • Patient may feel obligated to participate • Financial implications to GP • Conflict between randomisation options and preferred course of management • Patient acceptance of randomisation or outcome of randomisation

  18. Selective recruitment of patients • Impact of Randomisation process on results • Complexities in randomisation / reduced patient recruitment • Recruitment levels and Practice workload

  19. Selective recruitment of patients continued • Practice commitment • Use of research staff for recruitment

  20. Practice Recruitment Rate & Symptom Score at time of recruitment 18 16 14 Monthly Recruitment Rate per 10,000 12 population 10 8 6 4 2 0 0 5 10 15 20 Mean Symptom Score

  21. Does representativeness matter? • Not at all? • Trials have always been selective • Its up to others to determine local applicability • Very much? • Raison d’etre of primary care trial

  22. Does representativeness matter?(continued) • To some extent? • Balance to be achieved • Modelling helps generalise and particularise

  23. References

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