Assessment of birth preparedness & complication readiness and associated factors among ANC attendant pregnant mothers in Arba Minch Town Governmental Institutions, Arba Minch, Southern Ethiopia

<p>Introduction: Birth preparedness and complication readiness is the big pillar in the process of planning for normal delivery and seeking interventions if there is an obstetric emergency. Since Maternal mortality is a public health challenge Globally, different effort were applied from gover...

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Main Authors: Samuel Dessu (Author), Zinabu Dawit (Author), Fikre Bojola (Author)
Format: Book
Published: International Journal of Sexual and Reproductive Health Care - Peertechz Publications, 2019-02-15.
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042 |a dc 
100 1 0 |a Samuel Dessu  |e author 
700 1 0 |a  Zinabu Dawit  |e author 
700 1 0 |a Fikre Bojola  |e author 
245 0 0 |a Assessment of birth preparedness & complication readiness and associated factors among ANC attendant pregnant mothers in Arba Minch Town Governmental Institutions, Arba Minch, Southern Ethiopia 
260 |b International Journal of Sexual and Reproductive Health Care - Peertechz Publications,   |c 2019-02-15. 
520 |a <p>Introduction: Birth preparedness and complication readiness is the big pillar in the process of planning for normal delivery and seeking interventions if there is an obstetric emergency. Since Maternal mortality is a public health challenge Globally, different effort were applied from government as well as nongovernmental organization.</p><p>Methods: Institution based cross-sectional study design was conducted from September 15,2017 to October 15,2017 in Arba Minch town governmental Institutions. A total of 421 pregnant mothers were involved and study subjects were selected by systematic sampling technique. Data were collected using structured interviewer administered questionnaire. Data were entered into Epi info version 7 and exported to SPSS version 23 statistical soft ware package for cleaning, coding and analysis. Descriptive statistics was done to assess basic client characteristics. Factors that show association in Bivariable analysis was entered in to Multivariable logistic regression models. The strength of statistical association was measured by adjusted odds ratios, 95% confidence intervals, and P-value <0.05 was considered as significant. </p> 
540 |a Copyright © Samuel Dessu et al. 
546 |a en 
655 7 |a Research Article  |2 local 
856 4 1 |u https://doi.org/10.17352/ijsrhc.000003  |z Connect to this object online.