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Evaluating the Awareness of Females of Regarding Ovarian Cysts in Bhuj, Gujarat

Gopal Hirani, Assistant Professor, Department of Obstetrics & Gynaecology, Gujarat Adani Institute of Medical Science, Bhuj, Kutch, Gujarat370001, India. , Gopal Hirani* , Madhav Hirani**

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Indian Journal of Obstetrics and Gynecology 5(2):p 41-45, April - June 2017. | DOI: http://dx.doi.org/10.21088/ijog.2321.1636.5217.7

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Abstract

Background and Aim: The ovaries are part of the female reproductive system. There are various types of ovarian cysts such as dermoid cysts and endometrioma cysts. However, functional cysts are the most common type. Aim of the study is to evaluate the patient’s perception regarding ovarian cysts and the awareness of the patients about the symptoms and health management in ovarian cysts. Methods: Females from the different areas of Bhuj district were included in the study. A total of 150 females were approached for the study. The questioner was randomly distributed among the females attending the ward for any of the reason. Out of 150 females, 115 were ready to fill the questioner. rest some females denied for one or the other reason so were excluded from the study. Women were eligible had no previous lung, colon or ovarian cancer diagnosis. Results: The majority of the respondents suffer pain during menstrual period. The value was significant (p = 0.030 and p = 0.005) with regard to worsening symptoms and severity of pain, respectively. Educational level influenced knowledge about cyst with patients with a higher educational level more likely to visit the physician. Conclusion: The findings of this study indicate that overall awareness level was high among inpatients but this was due to the fact that physicians informed about their diagnosis. Lack of prior knowledge of the disease can be attributed to lack of education, poor understanding of the patients regarding their disease and noncompliance with the medication that were prescribed to them.

Keywords: Educational Level; Menstrual Period; Ovarian Cysts; Reproductive System. 

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DOI: http://dx.doi.org/10.21088/ijog.2321.1636.5217.7

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