American Journal of Public Health Research
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American Journal of Public Health Research. 2017, 5(4), 89-97
DOI: 10.12691/ajphr-5-4-1
Open AccessArticle

Intention to Use Institutional Delivery and Associated Factors among ANC Attendants in Wollaita Soddo Town, Southern Ethiopia: A Cross-Sectional Community Based Study, Application of Theory of Planned Behavioral Model

Temesgen Lera1, , Bitiya Admasu2 and Anteneh Dirar2

1Department of Nursing and Midwifery, Arba Minch College of Health Sciences, Arba Minch, South West Ethiopia

2Department of Population and Family health, Jimma University, Jimma, West Ethiopia

Pub. Date: August 10, 2017

Cite this paper:
Temesgen Lera, Bitiya Admasu and Anteneh Dirar. Intention to Use Institutional Delivery and Associated Factors among ANC Attendants in Wollaita Soddo Town, Southern Ethiopia: A Cross-Sectional Community Based Study, Application of Theory of Planned Behavioral Model. American Journal of Public Health Research. 2017; 5(4):89-97. doi: 10.12691/ajphr-5-4-1

Abstract

Background: - Ensuring institutional delivery for each child birth is the most critical intervention in reducing maternal and neonatal mortality and morbidity. In Ethiopia the proportions of births delivered in health institutions is very low and even for women who have access to the services. The proportion of birth occurring in health facilities is only 16%. Objective: - To investigate intention of pregnant women to use institutional delivery and associated factors from March to April 2016. Methods: - A Community based cross-sectional study was conducted in Wollaita Soddo town. Theory of Planned Behavior was employed to evaluate intention of pregnant women for delivery utilization. Data was collected by using pre-tested, structured questionnaire. The data collected was checked for its completeness and consistency, coded, entered and cleaned by using Epi data 3.5.1 and exported to SPSS version 20.00 statistical software. Data analysis was done for proximal and distal variables differently based on their presence in the model. Result:-A total of 326 pregnant women who had ANC follow up were included in the study. On multiple logistic regression husband’s occupational status and informed about delivery places were statistically significantly associated with intention to use institutional delivery among ANC attendants from distal variables and Attitude and subjective norms were statistically significantly associated with intention from proximal variables. The odds of intention to use institutional delivery among pregnant women who were informed about delivery places was 2.658 times more likely than those who were not informed about delivery places AOR=2.658(1.357, 5.207) at P-value 0.005.Those women whose husbands’ were employed were 2.2 times more likely to intend to use institutional delivery than women whose husbands’ were not employed (AOR=2.2(1.308, 3.7) at P-value 0.003. Conclusion:-The study concluded that the intention of giving birth at health institution increased with positive attitude towards institutional delivery, being informed by health professionals about the place of delivery and husband’s occupational status being employed and decreased with subjective norms.

Keywords:
intention attitude subjective norms perceived behavioral control institutional delivery

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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References:

[1]  WHO. Trends in MaternalMortality: 1990 to 2015.
 
[2]  WHO. Global causes of maternal death: a systematic analysis. 2014.
 
[3]  Moodley J PR, Fawcus S, Schoon MG, Moran N, Shweni PM. The confidential enquiry into maternal deaths in South Africa. 2014.
 
[4]  Hodorogea S FV. The Moldovan experience of maternal death reviews. 2014.
 
[5]  Paily VP AK, Rajasekharan Nair V, Thomas B. Confidential Review of Maternal Deaths in Kerala.2014.
 
[6]  De Brouwere V DT, Leke RJ. Achievements and lessons learnt from facility based maternal death reviews in Cameroon. 2014.
 
[7]  CSA AA, Ethiopia. EthiopiaMini Demographic andHealth Survey. 2014.
 
[8]  UNICEF U, UNESCO. The Millennium Development Goals Report. 2015.
 
[9]  Hinsermu Bayu, Mulatu Adefris, Abdella Amano, Mulunesh Abuhay. Pregnant women’s preference and factors associated with institutional delivery serviceutilization in Debra Markos Town, North WestEthiopia. BMC Pregnancy and Childbirth. 2015.
 
[10]  Ministry of Health (MOH) Kenya. A question of survival? Review of safe motherhood. 1997.
 
[11]  Obermeyer C PJ. Maternal health care utilisation patterns in Jordan: a study of patterns and determinants. 1991.
 
[12]  Nagasa Dida, Zewdie Birhanu, Mulusew GerbabA, Dejen Tilahun, Sudhakar Morankar. Modeling the probability of giving birth at health institutions among pregnant women attending antenatal care in West Shewa Zone, Oromia, Ethiopia. African Health sciences. 2014.
 
[13]  Cephas Sialubanje, Karlijn Massar, Davidson H. Hamer, Robert A. C. Ruiter. Personal and environmental predictors of the intention to use maternal healthcare services in Kalomo, Zambia. . BMC Pregnancy and Childbirth 2014.
 
[14]  Magoma M, Requejo, J., Oona M.R, Simon, C, and Filippi,V http://www.biomedcentral.com/1471-2393/10/13. High ANC coverage and low skilled attendancein a rural Tanzanian district: a case for implementing a birth plan intervention. BMC Pregnancy and Childbirth. 2010.
 
[15]  (CSA) CSA. Summary and statistical report of the 2007population and housing census: population size by age and sex.Addis Ababa, Ethiopia: FDRE Population Census Commission. 2008.
 
[16]  Wolaita Soddo City Administration Health Office.Wolaita Soddo, Ethiopia. Wolaita Soddo City Administration Health Office: Annual report. 2014/2015.
 
[17]  Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach.New York, NY [etc.]: Psychology Press; 2010.
 
[18]  Glanz K, Rimer BK, Viswanath K. Health Behavior and Health Education: Theory, Research, and Practice: Wiley; 2008.
 
[19]  Conner M NP. Predicting Health Behaviour: Research and Practice with Social Cognition Models.2nd edn 2005.
 
[20]  Bartholomew LK PG, Kok Get al. Planning Health Promotion Programmes. 2011.
 
[21]  Cooke R FD. How well do the theory of reasoned action and the theory of planned ehaviour predict intentions and attendance at screening programmes? A meta-analysis. 2008.
 
[22]  Kafulafula U HM, Gennaro Set al. Exclusive breastfeeding prenatal intentions among HIV-positive mothers in Blantyre, Malawi: BMC health services research. 2012.
 
[23]  Harmsen IA LM, Ruiter ACRet al. Psychosocial determinants of the parents’ intention to vaccinate their newborn child against hepatitis B. 2012.
 
[24]  Mesfin N HMD, M. Getnet. Assessment of Safe Delivery Service Utilization among Women of Childbearing Age in North Gondar Zone, North West Ethiopia. 2004.
 
[25]  Kidist B. Determinants of maternal health care utilization in Holeta town, central Ethiopia. 2014.
 
[26]  Fantu A. Factors associated with home delivery in Bahirdar, Ethiopia. BMC health services research. 2012.
 
[27]  Tomas Benti Tefera, Kemal Ahmed Kuti. Factors Determining Health Institutional Delivery Among Pregnant Women Living in Agarfa Town of Bale Zone, Oromia, South East Ethiopia. American Journal of Health Research. 2015.
 
[28]  Endalkachew Desalegn, Alemtsehay Mekonnen, Gedefaw Abeje. Place of delivery after antenatal care: the case of Fogera district, Amhara region, North West, Ethiopia;. Journal of Gynecology and Obstetrics. 2013.