Abstract
Aim
To determine the institutional delivery service use and identify factors associated among women who delivered during the last two years in Dallocha town.
Design
A community‐based cross‐sectional study.
Methods
The study was conducted from 10 March–10 April 2016. A total of 411 study participants were selected by using systematic sampling method. The source population was all reproductive age group mothers. Bivariate and multiple logistic regression was conducted.
Results
Institutional delivery was 304 (74%). Factors associated with increased likelihood of institutional delivery were owning a radio or television, making more than four antenatal care visits, knowing at least one maternity service advantage. Not knowing about at least one benefit institutional delivery decreased the likelihood of institutional delivery.
Conclusion
Three‐quarters of the mothers delivered at the health institution. Accordingly, promotion of antenatal care follow‐up, in‐service training of health professionals and health education is recommended.
Keywords: Dallocha, institutional delivery service, skilled birth attendants
1. INTRODUCTION
Pregnancy and childbirth are an important period in women life. However, millions of women living in developing countries die of complication related to childbirth (Olapade & Lawoyin, 2008; Tadele & Lamaro, 2017). This could be tackled through appropriately tailored interventions aimed at improving the use of reproductive health services, which is delivered during antepartum, intrapartum and postpartum periods (Assefa, Alemayehu, & Debie, 2018; Dida, Darega, & Takele, 2015; Kebede, Hassen, & Teklehaymanot, 2016). Since most maternal deaths occur at labour, delivery and within seven days following birth, emergency obstetric care is essential (Habte & Demissie, 2015).
Provision of skilled care at delivery is a feasible approach in dealing with obstetrics emergency cases among low income and high parity women (Dumont et al., 2000). Institutional delivery ensures safe motherhood and is an indicator of maternity health‐related action effectiveness (Assefa et al., 2018; Tadesse, Bayou, & Nebeb, 2017). In developing countries, institutional delivery is low which is 38% in Nigeria (Adedokun & Uthman, 2019), 79% in Kenya (Mochache, Lakhani, El‐Busaidy, Temmerman, & Gichangi, 2018), 68% in Ghana (Ganle, Kombet, & Baatiema, 2019), 67.3% in Tanzania (Bishanga et al., 2018), 74.6% in Liberia (Yaya, Uthman, Bishwajit, & Ekholuenetale, 2019) and 55% in Nepal (Shah et al., 2015).
Maternal mortality is an indicator of the community health status. Sustainable development goal 3 is focused on the reduction in the global maternal mortality ratio to less than 70 deaths per 100,000 live births by 2030 (UN High Commissioner for Refugees, 2017). Globally, maternal mortality ratio (MMR) is estimated to be 216/100,000 live births of which sub‐Saharan countries constitute more than half of the maternal deaths (World Health Organization, 2018). According to the Ethiopian demographic and Health Survey (EDHS) 2016, the pregnancy‐related mortality ratio was 412 maternal deaths per 100,000 live births. The lifetime risk of pregnancy‐related death is 21 in 1,000 women (CSA & ICF International, 2016). Haemorrhage, abortion, anaemia, infection, unsafe abortion, prolonged labour, obstructed labour and eclampsia contribute to 80% of the maternal death (Darmstadt et al., 2013; Mageda & Mmbaga, 2015).
One approach to decrease the maternal death is promoting institutional delivery. Nurses, midwives, health officers, general practitioners or specialist doctors deliver the care. Delivery at the health institutions enables early detection of obstetrics problems, better maternal and newborn care. It has been associated with favourable maternal and neonatal outcomes (Benti & Ahmed, 2015; Bogale & Markos, 2014). However, most women living in developing countries deliver at home due to limited access to health facilities, distance and knowledge gap (CSA & ICF International, 2016). Family members, traditional birth attendants or health extension workers provide the care. Home delivery might lead to infection, severe bleeding, maternal and foetal death (Bayu, Fisseha, Mulat, Yitayih, & Wolday, 2015; Kent, 2011; Hogan et al., 2010; Sialubanje, Massar, Hamer, & Ruiter, 2015).
The factors influencing institutional delivery service use are related to personal, environmental and institutional aspects (Asres & Davey, 2015; Benti & Ahmed, 2015; Bogale & Markos, 2014; Temesgen & Kejela, 2015). In addition, the quantity and quality of interaction among health professionals and mothers affect the proportion of institutional delivery (Kidanu, Degu, & Tiruye, 2017).
Even though free delivery service is provided in the governmental health facilities of Ethiopia, the proportion of institutional delivery is very low which is between 4%–48% (Benti & Ahmed, 2015; Bogale & Markos, 2014; Fikre & Demissie, 2012; Ministry of Health, 2007; Nigussie, Hailemariam, & Mitikie, 2004; Temesgen & Kejela, 2015; Tsegay et al., 2013). Therefore, to improve the use of institutional delivery, researchers must identify factors influencing the institutional delivery use. In addition, identifying factors that influence the institutional delivery is supportive for the successful accomplishment of a policy aimed at improving maternal and child health. Hence, this study was conducted to assess institutional delivery service use and associated factors in Dallocha town, SNNPR, Ethiopia.
2. METHODS
2.1. Study area and period
The study area was Dallocha town. It is found in Dallocha Woreda, located about 182 km from the capital Addis Ababa and 201 km from Hawassa. The total population of Dallocha town is 12,461, and from this 1982 were reproductive age group women. Total households with women who delivered in the last 2 years were 999. There is one public health facility and three private clinics. The study was conducted from 10 March–10 April 2016.
2.2. Study design
Community‐based cross‐sectional study designs were employed.
2.3. Population
The source population was all reproductive age group mothers (15–49 years old) who delivered in the last two years in Dallocha town. The study population was all sampled reproductive age group mothers who delivered during the last 2 years before the study, and the study unit was individual at household levels.
2.4. Eligibility criteria
Reproductive age group mothers who live above 6 months in the study area and gave birth in the last 2 years preceding the study period were included in the study. Women who were critically ill and mental challenged were excluded from the study.
2.5. Sample size and sampling technique
The required sample size was determined by using a single population proportion formula with the following assumptions, 47.2% institutional delivery (Temesgen & Kejela, 2015) with 95% confidence interval and 4% margin of error. Adding of 10% non‐response rate, the final sample size was 411.
Through systematic sampling, eligible woman was interviewed by going in every two households. For households with more than one eligible woman, interview was done by selecting a woman using lottery method.
2.6. Data collection procedures
Data were collected through face‐to‐face interview using a structured questionnaire that was adapted after a review of different literature (Asres & Davey, 2015; Fikre & Demissie, 2012; Nigussie et al., 2004). The questionnaire had 5 parts and 53 items. Different experts checked the internal validity. Four data collectors and one supervisor were used. Training was given for 2 days about the aim of the study, data collection tool and procedures. In addition, the training also focused on the techniques of interviewing and clarifying questions.
2.7. Data quality control
Data quality was ensured during data collection, coding, entry and analysis. The data collection tool was pre‐tested on 21 women in Wulbareg town. The principal investigator and a supervisor conducted supervision. The supervisor and principal investigator checked each questionnaire for completeness. Furthermore, each questionnaire was given a unique code by the principal investigator.
2.8. Data processing and analysis
Data were first checked manually for completeness, then coded and entered through EpiData version 3.1. The generated data were transferred to SPSS version 20. The data were cleaned by visualizing, calculating frequencies and sorting. Frequencies and proportions were computed for description of the study population. Comparison by the socio‐demographic and obstetrics characteristic was done between the women who delivered at home and institution group. The statistical association was done for categorical variables. Chi‐square test was used by considering the guideline which says 80% of the cells in the table should have expected frequencies greater than 5, and all cells should have expected frequencies greater than 1. Significance was determined by using crude and adjusted odds ratios with 95% confidence intervals. To assess the association between the dependent variables and independent variables, bivariate logistic regression was employed. All explanatory variables that have association in bivariate analysis with p‐value less than .05 were entered into multiple logistic regression model. Then, multiple logistic regression was employed to identify different predictors by considering p‐value less than .05. Hosmer–Lemeshow test was performed to test how well the model fits the data. Finally, the results were presented in the form of tables, figures and sentences.
3. RESULTS
3.1. Socio‐demographic characteristics
A total of 411 women participated in the study, obtaining a response rate of 100%. The mean age of respondents was 26.6 (SD 4.31 years). In the women who delivered at home group, most (96.3%) were married, more than three‐quarters were Silite and housewives. In the women who delivered at health institution group, most (41.8%) attended primary education and more than half (53.6%) had a family size of less than four (Table 1).
Table 1.
Socio‐demographic characteristics of the women who delivered during the last two years in Dallocha town, SNNPR, Ethiopia, May 2016
| Variables | Place of delivery |
Total N (%) |
|
|---|---|---|---|
|
Home N (%) |
Health institution N (%) |
||
| Age | |||
| 15–19 | 5 (4.7) | 10 (3.3) | 15 (3.6) |
| 20–24 | 23 (21.5) | 75 (24.7) | 98 (23.8) |
| 25–29 | 57 (53.3) | 144 (47.4) | 201 (48.9) |
| 30–34 | 17 (15.9) | 49 (16.1) | 66 (16.1) |
| 35–49 | 5 (4.7) | 26 (8.6) | 31 (7.5) |
| Mean ± SD | 26.6 ± 4.31 | ||
| Marital status | |||
| Married | 103 (96.3) | 297 (97.7) | 400 (97.3) |
| Divorced | 1 (0.9) | 5 (1.6) | 5 (1.2) |
| Widowed | 3 (2.8) | 2 (0.7) | 6 (1.5) |
| Ethnicity | |||
| Silite | 87 (81.3) | 262 (86.2) | 349 (84.9) |
| Gurage | 11 (10.3) | 9 (3) | 20 (4.9) |
| Amhara | 8 (7.5) | 22 (7.2) | 30 (7.3) |
| Wolaita | 1 (0.9) | 11 (3.6) | 12 (2.9) |
| Educational status of mothers | |||
| Unable to read and write | 49 (45.8) | 77 (25.3) | 126 (30.7) |
| Primary education | 44 (41.1) | 127 (41.8) | 171 (41.6) |
| Secondary education | 11 (10.3) | 68 (22.4) | 79 (19.2) |
| College or university graduate | 3 (2.8) | 32 (10.5) | 35 (8.5) |
| Educational status of husband (N = 400) | |||
| Unable to read and write | 14 (14) | 40 (13.3) | 54 (13.5) |
| Primary education | 58 (54) | 81 (27) | 139 (34.8) |
| Secondary education | 11 (11) | 69 (23) | 80 (20) |
| College or university graduate | 17 (17) | 110 (36.7) | 127 (31.7) |
| Occupational status of mothers | |||
| Housewife | 83 (77.6) | 225 (74) | 308 (74.9) |
| Employed | 6 (5.6) | 41 (13.5) | 47 (11.4) |
| Merchant | 8 (7.5) | 28 (9.2) | 36 (8.8) |
| Daily labourer | 10 (9.3) | 10 (3.3) | 20 (4.9) |
| Occupational status of husband (N = 400) | |||
| Farmer | 17 (17) | 41 (13.7) | 58 (14.5) |
| Employed | 18 (18) | 134 (44.7) | 152 (38) |
| Merchant | 30 (30) | 54 (18) | 84 (21) |
| Daily labourer | 35 (35) | 71 (23.7) | 106 (26.5) |
| Religion | |||
| Orthodox | 11 (10.3) | 39 (12.8) | 50 (12.2) |
| Muslim | 89 (83.2) | 252 (82.9) | 341 (83.0) |
| Protestant | 7 (6.5) | 13 (4.3) | 20 (4.9) |
| Family size | |||
| 1–4 | 64 (59.8) | 163 (53.6) | 227 (55.2) |
| >4 | 43 (40.2) | 141 (46.4) | 184 (44.8) |
| Income per month (Birr) | |||
| 100–500 | 8 (7.5) | 50 (16.4) | 58 (14.1) |
| 501–999 | 50 (46.7) | 75 (24.7) | 125 (30.4) |
| 1,000–1,499 | 28 (26.2) | 66 (21.7) | 94 (22.9) |
| ≥1,500 | 21 (19.6) | 113 (37.2) | 134 (32.6) |
3.2. Place of delivery
A greater proportion of women (74%) delivered at health institution (Figure 1).
Figure 1.
Place of delivery among women who delivered during the last 2 years in Dallocha town, SNNPR, Ethiopia, May 2016 (N = 411)
3.3. Obstetric and delivery characteristics of women who delivered at home or health institution
Among the respondents who delivered at home, most (65.4%) and 55.1% had a parity and gravidity of 2–4, respectively. At first marriage, most (69.2%) were aged 15–19, more than half (54.2%) were aged 15–19 at their first pregnancy, more than half (64.5%) were assisted by the traditional birth attendant and most (78.5%) mentioned having close attention from the family as a reason for home delivery. Among the respondents who delivered in health institution, significant proportion of women (93.4%) had received antenatal care, more than three‐quarters (93.8%) had birth preparedness and complication readiness, most had live birth (99.3%), and more than one‐quarter (30.4%) had adverse pregnancy outcome. Of the respondents, most had knowledge of at least one advantage of maternity services (74.5%) and had knowledge of at least one of the benefits of giving birth at health institution (83.7%). The difference in the place of delivery by antenatal care frequency, knowledge of at least one advantage of maternity services and knowledge of at least one of the benefits of giving birth at health institution was statistically significant (Tables 2, 3, 4).
Table 2.
Obstetrics and delivery characteristics of women who delivered during the last two years in Dallocha town, SNNPR, Ethiopia, May 2016
| Variables | Place of delivery |
Total N (%) |
|
|---|---|---|---|
|
Home N (%) |
Health institution N (%) |
||
| Parity | |||
| 1 | 28 (26.2) | 95 (31.3) | 123 (29.9) |
| 2–4 | 70 (65.4) | 179 (58.9) | 249 (60.6) |
| >4 | 9 (8.4) | 30 (9.9) | 39 (9.5) |
| Gravidity | |||
| 1 | 19 (17.8) | 80 (26.3) | 99 (24.1) |
| 2–4 | 69 (55.1) | 170 (55.9) | 239 (58.2) |
| >4 | 19 (17.8) | 54 (17.8) | 73 (17.8) |
| Age at first marriage | |||
| 15–19 | 74 (69.2) | 208 (68.4) | 282 (68.6) |
| 20–34 | 33 (30.8) | 96 (31.6) | 129 (31.4) |
| Age at first pregnancy | |||
| 15–19 | 58 (54.2) | 148 (48.7) | 206 (50.1) |
| 20–34 | 49 (45.8) | 156 (51.3) | 205 (49.9) |
| Last pregnancy time in month | |||
| ≤12 months | 53 (49.5) | 140 (46.1) | 193 (47) |
| >12 months | 54 (50.5) | 164 (53.9) | 218 (53) |
| Planned pregnancy | |||
| Yes | 97 (90.7) | 284 (93.4) | 381 (92.7) |
| No | 10 (9.3) | 20 (6.6) | 30 (7.3) |
| Antenatal care | |||
| Yes | 52 (48.6) | 299 (93.4) | 351 (85.4) |
| No | 55 (51.4) | 5 (1.6) | 60 (14.6) |
| Antenatal care frequency (N = 351) | |||
| 1–4 | 31 (59.6) | 74 (24.7) | 105 (29.9) |
| >4 | 21 (40.4) | 225 (75.3) | 246 (70.1) |
| Birth preparedness and complication readiness | |||
| Yes | 45 (42.1) | 285 (93.8) | 330 (80.3) |
| No | 62 (57.9) | 19 (6.3) | 81 (19.7) |
| Newborn condition | |||
| Live birth | 94 (87.9) | 302 (99.3) | 396 (96.4) |
| Live birth but died soon after | 13 (12.1) | 2 (0.7) | 15 (3.6) |
| Duration of labour | |||
| <12 hr | 94 (87.9) | 210 (69.1) | 304 (74.0) |
| 12–24 hr | 12 (11.2) | 92 (30.3) | 104 (25.3) |
| >24 hr | 1 (0.9) | 2 (0.7) | 3 (0.7) |
| Adverse pregnancy outcome | |||
| Yes | 25 (23.1) | 92 (30.4) | 117 (28.5) |
| No | 83 (76.9) | 211 (69.6) | 294 (71.5) |
| Complication (N = 117) | |||
| Bleeding | 16 (64) | 65 (70.7) | 81 (69.2) |
| Prolonged labour | 8 (32) | 22 (23.9) | 30 (25.7) |
| Retained placenta | 1 (4) | 5 (5.4) | 6 (5.1) |
| Preferred sex of attendants for delivery service | |||
| Female | 94 (87.9) | 195 (64.1) | 289 (70.3) |
| Male | 13 (12.1) | 109 (35.9) | 122 (29.7) |
| Preferred place for future delivery | |||
| Institutional delivery | 95 (88.8) | 294 (96.7) | 389 (94.6) |
| Home delivery | 12 (11.2) | 10 (3.3) | 22 (5.4) |
| Knowledge of at least one advantage of maternity services | |||
| Yes | 35 (32.7) | 271 (89.1) | 306 (74.5) |
| No | 72 (67.3) | 33 (10.9) | 105 (25.5) |
| Knowledge of at least one of the benefits of giving birth at health institution | |||
| Yes | 44 (41.1) | 300 (98.7) | 344 (83.7) |
| No | 63 (58.9) | 4 (1.3) | 67 (16.3) |
Table 3.
Delivery characteristics of women who delivered of women who delivered at home or health institution during the last 2 years in Dallocha town, SNNPR, Ethiopia, May 2016
| Variables | N (%) |
|---|---|
| Access to ambulance | |
| Yes | 44 (10.7) |
| No | 367 (89.3) |
| Mode of delivery | |
| Spontaneous vaginal delivery | 376 (91.5) |
| Instrumental delivery | 17 (4.1) |
| Caesarean section | 17 (4.1) |
| I did not remember | 1 (0.2) |
| Payment for the service (N = 304) | |
| Free of charge | 302 (99.3) |
| Paid | 2 (0.7) |
| Waiting time to get delivery service (N = 304) | |
| 1–30 min | 299 (98.4) |
| 31–60 min | 5 (1.6) |
| Person who assisted the home delivery (N = 107) | |
| Family member | 9 (8.4) |
| Her mother | 20 (18.7) |
| Traditional birth attendant | 69 (64.5) |
| Health extension workers | 9 (8.4) |
| Reason for home delivery(N = 107) | |
| Having closer attention from family | 84 (78.5) |
| Urgent labour | 75 (70.1) |
| Home is comfortable | 36 (33.6) |
| Health professionals unwelcoming approach | 30 (28) |
Table 4.
Association of variables with the place of delivery among the women who delivered during the last 2 years in Dallocha town, SNNPR, Ethiopia, May 2016
| Variables | Place of delivery | Place of delivery | p‐Value |
|---|---|---|---|
| Have a radio or television | |||
| Yes | 62 (57.9) | 252 (82.9) | <.001 |
| No | 45 (42.1) | 52 (17.1) | |
| ANC frequency (N = 351) | |||
| 1–4 | 31 (59.6) | 74 (24.7) | <.001 |
| >4 | 21 (40.4) | 225 (75.3) | |
| Knowledge of at least one advantage of maternity services | |||
| Yes | 35 (32.7) | 271 (89.1) | <.001 |
| No | 72 (67.3) | 33 (10.9) | |
| Knowledge of at least one of the benefits of giving birth at health institution | |||
| Yes | 44 (41.1) | 300 (98.7) | <.001 |
| No | 63 (58.9) | 4 (1.3) | |
3.4. Knowledge of danger signs during labour
Of the respondents, 189 (84.8%) mentioned severe vaginal bleeding as a danger sign of labour (Figure 2).
Figure 2.
Knowledge of danger sign during labour among women who delivered during the last 2 years in Dallocha town, SNNPR, Ethiopia, May 2016 (N = 411)
3.5. Knowledge of the advantage of health institution delivery
About the knowledge on the advantage of health institution delivery, timely treatment of health‐related problem was the most mentioned advantage (89.8%) (Figure 3).
Figure 3.
Knowledge of the advantage of health institution delivery among women who delivered during the last two years in Dallocha town, SNNPR, Ethiopia, May 2016
3.6. Factors associated with institutional delivery service use
The final model included all variables that were significant in the bivariate analysis. According to the result of the multivariable analysis, all the four variables showed significant association with the use of institutional delivery.
Women who have a radio or television were 2.547 times more probably to use institutional delivery service than women who did not have (AOR = 2.547, 95% CI = 1.021–6.352). Mothers who had above four antenatal care visit were 3.526 times more likely to use institutional delivery service than women who had 1–4 antenatal care visit (AOR = 3.526, 95% CI = 1.542–8.064). Moreover, mothers who knew at least one advantage of pregnancy and delivery service were 3.177 times more probably to deliver at health facility than those who did not know at least one advantage (AOR = 3.177, 95% CI = 1.138–8.867). Mothers who did not know at least one benefit of giving birth at health institution were 11% less probably to deliver at health facility than those who know at least one benefit of giving birth at health institution (AOR = 0.091, 95% CI = 0.023–0.360) (Tables 5 and 6).
Table 5.
Bivariate logistic regression of factors associated with institutional delivery service use among women who delivered during the last two years in Dallocha town, SNNPR, Ethiopia, May 2016
| Variables | Category | Place of delivery | COR(95% CI) | |
|---|---|---|---|---|
| Home | Health institution | |||
| Have a radio or television | Yes | 62 | 252 | 3.517 (2.163,5.720)* |
| No | 45 | 52 | 1 | |
| Antenatal care frequency | 1–4 | 31 | 74 | 1 |
| >4 | 21 | 225 | 4.488 (2.431,8.286)* | |
| Knowledge of at least one advantage of maternity services | Yes | 35 | 271 | 16.894 (9.826,29.040)* |
| No | 72 | 33 | 1 | |
| Knowledge of at least one benefit of giving birth at health institution | Yes | 44 | 300 | 1 |
| No | 63 | 4 | 0.009 (0.003,0.027)* | |
Abbreviation: COR: crude odds ratio.
Significant at p‐value < 0.001.
Table 6.
Multiple logistic regressions of factors associated with institutional delivery service use among women who delivered during the last two years in Dallocha town, SNNPR, Ethiopia, May 2016
| Variables | Category | Place of delivery | AOR(95%CI) | |
|---|---|---|---|---|
| Home | Health institution | |||
| Have a radio or television | Yes | 62 | 252 | 2.547 (1.021,6.352)** |
| No | 45 | 52 | 1 | |
| Antenatal care frequency | 1–4 | 31 | 74 | 1 |
| >4 | 21 | 225 | 3.526 (1.542,8.064)** | |
| Knowledge of at least one advantage of maternity services | Yes | 35 | 271 | 3.177 (1.138,8.867)** |
| No | 72 | 33 | 1.00 | |
| Knowledge of at least one benefit of giving birth at health institution | Yes | 44 | 300 | 1.00 |
| No | 63 | 4 | 0.091 (0.023,0.360)* | |
Abbreviation: AOR: adjusted odds ratio
Significant at p‐value < 0.001.
Significant at p‐value < 0.05.
4. DISCUSSION
The results of the study revealed that the proportion of women who delivered at health institution was 74%. This study finding was higher than the report from EMDHS 2014 (16%), Agarfa town (13%), Wayu town (47.2%), Dodota woreda, Oromiya (18%) and Holota town (61%) (Benti & Ahmed, 2015; Birmeta, Dibaba, & Woldeyohannes, 2013; CSA & ICF International, 2014; Fikre & Demissie, 2012; Temesgen & Kejela, 2015). This might be due to the time gap and improvement in access to the service. Furthermore, there might be an improvement in awareness of institutional delivery due to the availability of media exposure and urban health extension workers. This study included only women living in urban where negative influence of husbands and family members could be lower.
Women who have radio or television were 2.547 times more probably to use institutional delivery service than women who did not have. This is supported by different researches conducted in Ethiopia (Birmeta et al., 2013; Kidanu et al., 2017). A woman who had either television or radio gets more information related to maternal health services advantage. Provision of information might change the attitude and knowledge of women.
Mothers who had above four antenatal care visit were 3.526 times more probably to use institutional delivery service than women who had 1–4 antenatal care visit. This is supported by study conducted in Indonesia (Thind & Banerjee, 2004), Kenya (Fotso, Ezeh, & Oronje, 2008), and Ethiopia (Dagne, 2010; Kidanu et al., 2017; Nigussie et al., 2004; Temesgen & Kejela, 2015). During antenatal care visits, especially if started early, women are provided with health education and information about the benefits of delivering in the health facility (Habte & Demissie, 2015; Teferra, Alemu, & Woldeyohannes, 2012). Antenatal care service provides an opportunity for health promotion, prevention, screening and monitoring of maternal health problems and helps to arrange for planned delivery (Tadele & Lamaro, 2017). In addition, counselling is delivered about the birth preparedness and complication readiness.
Knowledge about the advantage of pregnancy and delivery service was one of the significant predictors of institutional delivery use. Mothers who knew at least one advantage of pregnancy and delivery service were 3.177 times more probably to deliver at the health facility than those who did not know. This is supported by a study conducted in Tanzania (Mpembeni et al., 2007). Knowledge is one of the enabling factors for using the service. On the other hand, mothers who have knowledge about the advantage might have the initiation to use the service and resist negative pressures.
In this study, 92.7% of the mothers had a planned pregnancy. This study finding was higher than the report from Maichew town (70.3%), West Belessa Woreda (86.3%) and Denmark (77%) (Backhausen et al., 2013; Kassahun et al., 2019; Tsegaye, Mengistu, & Shimeka, 2018). This might be due to difference in the use and accessibility of family planning services.
In this study, 85.4% of the mothers had antenatal care follow‐up. This study finding is comparable to a report Pakistan (83.5%) (Noh et al., 2019). On the other hand, it is higher than the report from Afghanistan (56.2%), Nepal (76%) and Liberia (79.8%) (Awasthi et al., 2018; Azimi et al., 2019; Yaya et al., 2019). This difference might be due to the difference in the literacy level of mothers about the importance of antenatal care and access to service.
The study limitation was that temporal relations could not be assessed. In addition, there could be a recall bias.
5. CONCLUSION
This study showed that during the period of last two years, three‐quarters of the mothers delivered at the health facility. Owning a radio or television, more than four antenatal care visits, having knowledge of at least one maternity service advantage were associated with higher odds of institutional delivery. Therefore, healthcare providers should promote universal antenatal care follow‐up and provide health education. Health institutions should facilitate in‐service training on emergency obstetric care for all healthcare providers. Early booking of antenatal care visit and completion of visits should be promoted at community level.
CONFLICT OF INTEREST
The authors declared no conflict of interest.
AUTHOR CONTRIBUTIONS
MA conceptualized and designed the study. MA, ROF, AT and TB analysed, interpreted the data, drafted the manuscript and critically reviewed the manuscript. All the authors read and approved the manuscript.
ETHICAL APPROVAL
Ethical clearance was obtained from Jimma university institutional review board (IRB) and permission to conduct the study was obtained from Dallocha Woreda health office. Additionally, an informed verbal consent obtained from each respondent after providing sufficient information for the purpose of study and the right to refuse participation or to jump some questions unwilling to answer. To ensure the confidentiality, name of respondents was not written on the questionnaires.
ACKNOWLEDGEMENTS
We would like to forward our deepest appreciation to the Jimma University for their cooperation on necessary materials and supports to undertake this study. Finally, our appreciation also goes to the data collectors, supervisors and students who participated in the study.
Assefa M, Fite RO, Taye A, Belachew T. Institutional delivery service use and associated factors among women who delivered during the last 2 years in Dallocha town, SNNPR, Ethiopia. Nursing Open. 2020;7:186–194. 10.1002/nop2.378
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