A Logistic Regression Analysis of Factors Related to the Treatment Compliance of Infertile Patients with Polycystic Ovary Syndrome

作者：Li, Saijiao; He, Aiyan; Yang, Jing^*; Yin, TaiLang; Xu, Wangming

来源：Journal of Reproductive Medicine, 2011, 56(7-8): 325-332.

• compliance
• infertility
• logistic regression analysis
• polycystic ovary syndrome

OBJECTIVE: To investigate factors that can affect compliance with treatment of polycystic ovary syndrome (PCOS) in infertile patients and to provide a basis for clinical treatment, specialist consultation and health education.
STUDY DESIGN: Patient compliance was assessed via a questionnaire based on the Morisky-Green test and the treatment principles of PCOS. Then interviews were conducted with 99 infertile patients diagnosed with PCOS at Renmin Hospital of Wuhan University in China, from March to September 2009. Finally, these data were analyzed using logistic regression analysis.
RESULTS: Logistic regression analysis revealed that a total of 23 (25.6%) of the participants showed good compliance. Factors that significantly (p<0.05) affected compliance with treatment were the patient's body mass index, convenience of medical treatment and concerns about adverse drug reactions.
CONCLUSIONS: Patients who are obese, experience inconvenient medical treatment or are concerned about adverse drug reactions are more likely to exhibit noncompliance. Treatment education and intervention aimed at these patients should be strengthened in the clinic to improve treatment compliance. Further research is needed to better elucidate the compliance behavior of patients with PCOS. (J Reprod Med 2011;56:325-332)

• 出版日期2011-8
• 单位武汉大学