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A screening program to test and treat for Helicobacter pylori infection: Cost-utility analysis by age, sex and ethnicity

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Summary:

These researchers developed a Markov macrosimulation model using life-tables and morbidity data from a national burden of disease study, in order to evaluate cost-effectiveness of a H. pylori serologybased screening programme in New Zealand in 2011 compared with current medical practice. The cost of the screening programme was estimated at NZ$24,600 per quality-adjusted life year (QALY) gained for the total population. The targeted screening program for Māori was more cost effective at $11,985 per QALY gained. Compared to current practice, the total net cost of a one-off total population H. pylori screening programme for the 25–69-year age group was $293 million, with estimated health gains of 14,200 QALYs over the cohort’s lifetime, corresponding to a 17% reduction in the expected future gastric cancer cases and deaths.

Comment:
Interesting and significant that these two papers were published around the same time. Hopefully, policy makers and funders take notice of the combined results.
Reference: BMC Infect Dis. 2017;17(1):156
Independent commentary by Dr. Matire Hardwood

Dr Matire Harwood (Ngapuhi) has worked in Hauora Māori, primary health and rehabilitation settings as clinician and researcher since graduating from Auckland Medical School in 1994. She also holds positions on a number of boards, committees and advisory groups including the Health Research Council. Matire lives in Auckland with her whānau including partner Haunui and two young children Te Rangiura and Waimarie.

Research Review publications are intended for New Zealand health professionals.

Disclaimer: This publication is not intended as a replacement for regular medical education but to assist in the process. The reviews are a summarised interpretation of the published study and reflect the opinion of the writer rather than those of the research group or scientific journal. It is suggested readers review the full trial data before forming a final conclusion on its merits.

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