Investigating ethical considerations in the communication network of married women undergone hysterectomy: instrumentation of a questionnaire.

Introduction: Considering the importance of complying medical and general ethics and the lack of a study on determining ethical considerations in the communication network of women undergoing hysterectomy surgery, this study aimed to present these aspects in the patients' lives by a standard researcher-made instrument.

Method: This mixed method analysis (exploratory sequential mixed methods design was conducted in the whole of 2020 to create the "ethical considerations in communication network of women undergone hysterectomy" questionnaire and investigate its psychometric properties. A researched-made instrument was validated and its psychometric properties were checked among 218 women by confirmatory factor analysis (CFA).

Results: Accordingly, the 8 factors extracted included "complying ethical consideration by the physician (a)", "complying ethical consideration by medical team (b)", "complying ethical consideration in the hospital (c)", "complying ethical consideration by the secretory in the clinic (d)", "complying ethical consideration by the spouse (e)", and "complying ethical consideration by the family and friends (f)", "complying ethical consideration by the media and society (g)" and "complying ethical consideration by herself (h)". The results of Cronbach's alpha test showed that there is moderate to good internal consistency in all dimensions. Cronbach's alpha for the whole questionnaire was calculated as 0.75, which shows that the internal consistency is at a good level.

Conclusion: According to the results of this study, the reliability (internal consistency) and construct validity of the ethical considerations in the communication network of women undergoing hysterectomy questionnaire were confirmed. However, in light of the study limitations, caution should be practiced in the interpretation of the results. There is a need for further longitudinal studies in multiple settings using random sampling methods.