Evidence map›Paper›PMID 39165003›Full record

ArticleWomen's health (London, England)

Dispensing patterns of antidepressant and antianxiety medications for psychiatric disorders after benign hysterectomy in reproductive-age women: Results from group-based trajectory modeling.

Ryota Ishiwata, Abdelrahman AlAshqar, Mariko Miyashita-Ishiwata, Mostafa A Borahay

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Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Ryota IshiwataDepartment of Gynecology and Obstetrics, Johns Hopkins University, Baltimore, MD, USA.
Abdelrahman AlAshqarDepartment of Gynecology and Obstetrics, Johns Hopkins University, Baltimore, MD, USA.
Mariko Miyashita-IshiwataDepartment of Gynecology and Obstetrics, Johns Hopkins University, Baltimore, MD, USA.
Mostafa A BorahayDepartment of Gynecology and Obstetrics, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-0554-132X

Funding

Mechanisms of actions(s) of simvastatin in uterine leiomyomaR01HD094380 · NICHD · JOHNS HOPKINS UNIVERSITY · PI BORAHAY, MOSTAFA A. · 2018 to 2022
$4.0M
NICHD NIH HHS R01 HD094380
6 · The paper itself

Abstract

backgroundWomen with gynecologic disorders requiring a hysterectomy often have co-existing psychiatric diagnoses. A change in the dispensing pattern of antidepressant (AD) and antianxiety (AA) medications around the time of hysterectomy may be due to improvement in gynecologic symptoms, such as pelvic pain and abnormal bleeding, or the emotional impact of the hysterectomy. Unfortunately, these dispensing patterns before and after hysterectomy are currently undescribed.

objectivesTo model the dispensing patterns of AD and AA medications over time among women with psychiatric disorders before and after benign hysterectomy for endometriosis and uterine fibroids; and to characterize clusters of patients with various dispensing behaviors based on these patterns.

designRetrospective cohort study.

methodsThis is a study of women who underwent a benign hysterectomy using data from the Merative MarkertScan® Research Databases (Ann Arbor, MI, USA). Inclusion criteria were reproductive-aged women (18-50 years), diagnosis of at least one mood or anxiety disorder, and at least one dispensing of AD or AA medications. We measured monthly adherence and persistence of AD/AA medication use over 12 months after hysterectomy. Group-based-trajectory modeling (GBTM) was used to identify trajectory groups of monthly AD/AA medication dispensing over the study period. Multinomial logistic regression was used to identify factors independently associated with individual dispensing trajectory patterns.

resultsFor a total of 11,607 patients, 6 dispensing trajectory groups were identified during the study period: continuously high (27.0%), continuously moderate (21.9%), continuously low (17.9%), low-to-high (10.0%), moderate-to-low (9.8%), and low-to-moderate (13.4%). Compared with the continuously high group, younger age, no history of a mood disorder, and uterine fibroids were clinical predictors of low dispensing. The discontinuation rate at 3 months after hysterectomy was higher at 88.6% in the continuously low group and at 66.5% in the continuously low-to-moderate group.

conclusionsThis study demonstrates that GBTM identified six distinct trajectories of AD/AA medication dispensing in the perioperative period. Trajectory models could be used to identify specific dispensing patterns for targeting interventions.

Indexed as

Anti-Anxiety AgentsAntidepressive AgentsHysterectomyAdolescentAdultAnxiety DisordersCohort StudiesDrug MonitoringEndometriosisFemaleHumansLeiomyomaMiddle AgedRetrospective StudiesYoung AdultAnti-Anxiety AgentsAntidepressive Agentsanxietydepressiongroup-based trajectory modelhysterectomy

Identifiers

PMID39165003
PMCPMC11339748

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.