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Using Theory of Planned Behavior for Prediction of Delivery Mode Among Pregnant Women: A Theory-Based Cross-Sectional Research Publisher Pubmed



Ghaffari M1 ; Afshari A2 ; Rakhshanderou S1 ; Armoon B3
Authors
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Authors Affiliations
  1. 1. Environmental and Occupational Hazards Control Research Center, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  2. 2. Health Education and Health Promotion, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Infertility and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Source: International Journal of Adolescent Medicine and Health Published:2020


Abstract

Nowadays, in Iran cesarean rates have increased from the recommended level of the World Health Organization (WHO). The objective of the present study was to determine which theory of planned behavior (TPB) constructs predict intentions and delivery mode among pregnant women. One hundred and four pregnant nulliparous women in their third trimesters of pregnancy referred to Semirom health care centers were investigated based on census reports. The data were collected by valid and reliable questionnaire based on the TPB constructs and analyzed by SPSS16. In examining predictors using linear regression analysis to choose normal vaginal delivery (NVD), all constructs of TPB, including attitude toward NVD (p < 0.0001), subjective norms (p < 0.05) and perceived behavioral control (p < 0.001) were significantly correlated. Finally, after telephone follow-up with the women who had delivered newborns on their delivery method, it was found that 71.15% had a NVD and 28.14% had a cesarean delivery. Regarding the effect of attitude to NVD, subjective norms and perceived behavioral control in NVD intention and its crucial role in anticipating the final delivery method, it is recommended considering these constructs in designing educational interventions for safe delivery in the investigated area. © 2017 2017 Walter de Gruyter GmbH, Berlin/Boston.
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