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ORIGINAL RESEARCH

Personality Traits Associated with Treatment Choice with an Explicit Statistical Prediction After an Explanation in a Negative Context: A Study in Patients with Glaucoma

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Pages 3685-3691 | Received 16 Aug 2023, Accepted 07 Nov 2023, Published online: 01 Dec 2023
 

Abstract

Purpose

Over 50% of patients with early-stage glaucoma discontinue topical therapy within the first 6 months of treatment initiation. This risk of discontinuation could be reduced by how the ophthalmologist explains the treatment plan. Ophthalmologists can explain the treatment plan to patients in either positive or negative contexts. Although explanations in a negative context can be selected depending on the medical situation, identification of patients who will choose the treatment with explicit statistical prediction after an explanation in a negative context is important; personality traits are related to these emotional decisions. Therefore, in the present study, we examined the personality traits associated with choice of treatment with explicit statistical prediction after an explanation in a negative context.

Patients and Methods

A total of 147 patients with glaucoma were recruited for this study. The questionnaire booklets used contained positively framed or negatively framed versions of an “Asian disease problem” to enable examination of the influence of the way in which a problem is framed (framing effect) on the participants’ decision-making. The Japanese version of the Ten-Item Personality Inventory was used to estimate the personality traits of the participants.

Results

Low conscientiousness was identified as the only variable that was strongly predictive of the choice of treatment with explicit statistical prediction (β = −0.44, z = 2.19, p = 0.03). In addition, while the association was not statistically significant, low neuroticism was found to be weakly predictive of the choice of uncertain treatment (β = −0.37, z = 1.73, p = 0.08).

Conclusion

In conclusion, we showed that low levels of conscientiousness predict the choice of treatment with explicit statistical prediction (ie, topical treatment) for glaucoma after an explanation in a negative context.

Acknowledgments

This study was conducted through collaboration between the Jikei University School of Medicine and Santen Pharmaceutical Co., Ltd. We thank Ms. Tomoko Kitazumi and Chihiro Saeki for their assistance with organizing the data at the Department of Psychiatry, Jikei University School of Medicine.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

Dr Fumitoshi Kodaka reports grants and/or personal fees from Janssen Pharmaceutical K.K., Lundbeck, MEIJI Seika Pharma Co., Ltd., Santen Pharmaceutical, and Mochida Pharmaceutical Co., Ltd., outside the submitted work. KH is an employee of Santen Pharmaceutical Co., Ltd. The authors report that they have no other conflicts of interest in this work.