Background: Compassionate and respectful maternity care is one of the most important facilitating factors to increase access to skilled maternity care. Disrespect and abuse is a violation of human rights and is the main hindering factor preventing skilled birth utilization versus other more commonly recognized deterrents such as financial and geographical obstacles. Methods: Institution based cross-sectional study design was conducted. A structured and pre-tested interviewer administered questionnaire was used to collect the data from 284 study participants. Study participant were selected using a systematic random sampling technique by allocating a proportion to each health facility. The data were entered with Epi data version 3.1statistical software and exported to Statistical Package for Social Sciences version 22.0 for further analysis. Both bivariate and multivariate logistic regression analysis were performed to identify associated factors. P values < 0.05 with 95% confidence level were used to declare statistical significance. Result: A total of 284 respondents participated in the study with a response rate of 100%.The overall prevalence of respectful maternity care experienced was 57%.The multivariable analysis indicated that respondents who live in a rural area [AOR = 6.49(95%CI; 2.59, 16.21)], experience a caesarian birth [AOR = 4.52(95%CI; 1.64, 12.42)], have complications during delivery [AOR = 2.38(95%CI; 1.28, 4.45)] and future intention to use health facility [AOR = 3.57(95%CI; 1.81, 7.07)] were some of the factors associated with experiencing disrespect and abuse. Conclusion: This study showed a high prevalence of disrespect and abuse during facility child birth in Bahir Dar town, Ethiopia as compared to previous literature. Being from rural area, having complications during delivery and mothers who gave birth through caesarian section were more likely to be exposed to disrespect and abuse than other women. Mistreatment of mothers during facility child birth is a health facility failure, a violation of women's rights and a notable barrier for institutional delivery.
This study was conducted in public health facilities in Bahir Dar town. Bahir Dar is located in North Western part of Ethiopia, in Amhara National Regional State, at a distance of 565 km from Addis Ababa. The total population of the town is 290,437of which 142,068 are males and 148,369 are female. In Bahir, Dare town there are 10 public health centers and two public hospitals and two private health institutions. The study was conducted in five public health facilities; four health centers and one referral hospital. Institution based cross-sectional study was conducted from Feb 2- April 26–2017. Mothers who gave birth in Bahir Dar tow health facilities. A single proportion formula was used to estimate the sample size required for the study. The sample size calculation assumed the proportion (p) estimated level of respectful and abuse free maternity care 21.4% [17]. Adding non-response rate of 10% and considering the assumption of 95% confidence level, 5% margin of error the final sample size was 284 mothers. In this study area there are ten public health centers and two public hospitals (one referral hospital and second general hospital). Four public health centers and one referral hospital was randomly selected. The allocation of the sample to health facilities was made proportionally based on the average number of clients who received childbirth services at each facility in the month preceding the data collection period. Felege-Hiwot Referral Hospital 129: Bahir Dar Health center 48: Han Health center 29: Tis-Abay Health center 45 and Shinbut Health center 33. Individual participants in each of the health facilities were selected by systematic random sampling during the data collection period until the required sample size at each health facility was obtained. The sampling interval k = 3 was calculated by dividing the source population to the total sample size and this interval was used in all health facility to select study participants. The first client was selected by simple random sampling among the first three maternity care users in the sampling frame. A universal human right that is due to every childbearing woman in every health system around the world in which the maternity care is expanded beyond the prevention of morbidity or mortality to encompass respect for women’s basic human rights, including respect for women’s autonomy, dignity, feelings, choices, and preferences, such as having a companion wherever possible [18]. The data collection method that was used in this study was face to face interviews using a structured questionnaire. The English version questionnaire was translated into local language Amharic to obtain data from the study participants and to ensure clarity of its content. Then the Amharic version was transcribed back to English version to check for consistency. It was prepared by the principal investigator based on literature reviews, and from Maternal and Child Health Integrated Program (MCHIP) as part of their respectful maternity care tool kit [3]. The questionnaire was designed to obtain information on socio demographic-characteristics and factors associated with disrespect and abuse. The instrument was pretested for its reliability. The content validity of the questionnaire was reviewed by experienced public health professionals. Before actual data collection occurred two day training was provided for data collectors and the supervisor about techniques of data collection and briefed on each questions included in the data collection tool. Pretest was done on 10% (28) of mothers receiving care in a health center that was not included in the study prior to the actual study period. After pre-testing the questionnaire, Cronbatch’s Alpha was calculated by using SPSS window version 22.0 to test internal consistency (reliability) of the item and Cronbatch’s Alpha greater than 0.7 was considered as reliable. Data were collected by trained midwives and nurses. During data collection regular supervision was done by the supervisors. First the collected data were checked manually for completion and any incomplete or misfiled questions. The data were cleaned and stored for consistency, entered into Epi Data version 3.1 software then exported to statistical package for social sciences (SPSS) version 22.0 software for analysis. The accuracy of the data entry was checked by double data entry. Any errors identified during data entry were corrected by reviewing the original completed questionnaire. Descriptive statistics were done and presented using tables and figures. Initially, bivariate logistic regression was carried out to see the association of each of the independent variables with the outcome variable. Thereafter, the multivariable logistic regression method was used. The variables that were not significant in the bivariate logistic regression were not considered in the multiple regression analysis. P- Value of < 0.05 and 95% confidence level was used as a difference of statistical significance. Finally, results were compiled and presented using tables, graphs, and text.
N/A