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Original Research

Patients’ preferences in periodontal disease treatment elicited alongside an IQWiG benefit assessment: a feasibility study

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Pages 2437-2447 | Published online: 16 Nov 2018
 

Abstract

Background and purpose

The German Institute for Quality and Efficiency in Health Care (IQWiG) previously tested two preference elicitation methods in pilot projects and regarded them as generally feasible for prioritizing outcome-specific results of benefit assessment. The present study aimed to investigate the feasibility of completing a discrete choice experiment (DCE) within 3 months and to determine the relative importance of attributes of periodontal disease and its treatment.

Patients and methods

This preference elicitation was conducted alongside the IQWiG benefit assessment of systematic treatments of periodontal diseases. Attributes were defined based on the benefit assessment, literature review, and patients’ and periodontologists’ interviews. The DCE survey was completed by patients with a history of periodontal disease. Preferences were elicited for the attributes “tooth loss within next 10 years”, “own costs for treatment, follow-up visits, re-treatment”, “complaints and symptoms”, and “frequency of follow-up visits”. Patients completed a self-administered questionnaire including 12 choice tasks. Data were analyzed using a random parameters logit model. The relative attribute importance was calculated based on level ranges.

Results

Within 3 months, survey development, data collection among 267 patients, data analysis, and provision of a study report could be completed. The analysis showed that tooth loss (score 0.73) was the most important attribute in patients’ decisions, followed by complaints and symptoms (0.22), frequency of follow-up visits (0.02), and costs (0.03) (relative importance scores summing up to 1).

Conclusion

A preference analysis performing a DCE can be generally feasible within 3 months; however, a good research infrastructure and access to patients is required. Outcomes used in benefit assessments might need to be adapted to be used in preference analyses.

Acknowledgments

We thank the dentist offices for their helpful comments during study planning and support of patient recruitment. Furthermore, we thank all patients for participating in the interviews and completing the questionnaire.

Disclosure

VV, MD, DC, and SS received financial support from the IQWiG for conducting this study. AS, AS, and FS were employed by the IQWiG at the time of study planning and conduct. The other authors declare no conflicts of interests. The abstract of this paper was presented at the 19th Annual European Congress of the ISPOR and at the 16th German Congress for Health Services Research (DKVF) as an abstract presentation with interim findings. The abstract was published in Value in Health (2016) Volume 19, Issue 7, Pages A352–A353; DOI: https://doi.org/10.1016/j.jval.2016.09.036 and in the online program of the 16th German Congress for Health Services Research at https://events.mcon-mannheim.de/frontend/index.php?page_id=1210&v=List&do=15&day=31&ses=1884#.