Preparing women experiencing symptoms of menopause for shared decision making about treatment.

Publication/Presentation Date

7-12-2021

Abstract

OBJECTIVE: To develop a decision support intervention that can be used with women experiencing menopausal symptoms to facilitate treatment shared decision making.

METHODS: Our research team contacted patients with reported menopausal symptoms by telephone to obtain consent and administer a baseline survey. Subsequently, we sent participants a booklet on the treatment of menopausal symptoms. A nurse educator then contacted participants by telephone to review the booklet and guide them through a structured decision counseling exercise designed to help clarify treatment preference. A 60-day endpoint telephone survey was completed.

RESULTS: Forty-eight consenting participants completed the baseline survey and 37 (77%) also completed a decision counseling session. At baseline, 19 of the women who had decision counseling were not being treated for menopausal symptoms and 18 were being treated. After decision counseling, 13 (68%) participants who were not being treated and 14 (78%) who were being treated identified a preferred treatment. Comparison of baseline and endpoint survey data showed that participant treatment knowledge increased (P = 0.007) and treatment decisional conflict decreased (P <  0.001). Furthermore, 71% of participants reported that they had received new information about treatment and 94% said they believed better prepared to discuss treatment with their healthcare provider.

CONCLUSIONS: Nurse-led decision counseling increased participant treatment knowledge, reduced treatment decisional conflict, and helped to clarify treatment preference. Implementation of this strategy could help to facilitate provider-patient shared decision making about the treatment of menopausal symptoms.

Volume

28

Issue

9

First Page

1060

Last Page

1066

ISSN

1530-0374

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

34260477

Department(s)

Administration and Leadership

Document Type

Article

Share

COinS