Maternal Delays for Institutional Delivery and Associated Factors Among Postnatal Mothers at Public Health Facilities of Gamo Zone, Southern Ethiopia.

BACKGROUND: Maternal health delays like delay in deciding to seek care, reaching a health facility, and receiving appropriate care were identified as the main contributing factors for maternal mortality and morbidity in many developing countries including Ethiopia. However, little is known about the magnitude and factors predisposing for maternal health delays in Ethiopia especially in a rural part of the country. Therefore, the aim of this study is to assess the magnitude of maternal delays for institutional delivery and associated factors among mothers attending post-natal service at public health facilities of the Gamo zone, Southern Ethiopia.
METHODS: A cross-sectional study was conducted in rural districts of Gamo zone. Eleven public health centers in the two districts were selected randomly. The Systematic random sampling method was used to select study participants from each public health centers. A total of 394 postnatal mothers were selected every secondly and interviewed in a separate room. Face to face interview methods were used to collect the data. Binary and multivariable logistic regression analyses were conducted to identify the associated factors for the three delays.
RESULTS: The magnitude of first, second and third maternal delays were 46.80%, 44.00%, and 31.70%, respectively. Unemployed women [AOR: 2.20, 95% CI (1.15, 4.16)], birth preparedness [AOR: 2.70, 95% CI (1.29, 5.71)], husband's decisions making [AOR: 6.00, 95% CI (2.87, 12.42)] were found to be significantly associated with first delay. Distance to health facility [AOR: 7.00, 95% CI (3.58, 13.71)], and means of transportation [AOR: 3.30, 95% CI (1.13, 9.54)] were found to be significantly associated with the second delay. Availability of obstetric drugs [AOR: 8.40, 95% CI (3.76, 18.76)], and availability of skilled health provider [AOR: 10.40, 95% CI (4.24, 25.69)] were found to be significantly associated with the third delay for institutional delivery.
CONCLUSION: The magnitude of first, second and third maternal delays were high which indicates that most mothers were not receiving institutional delivery services at the recommended time. Maternal socio-economic, obstetric factors and health-care system factors affected the three delays in this study. Therefore, improving women empowerment and resource availability at health facilities is vital.

Background

Globally, an estimated 303,000 women died each year from complications of pregnancy and childbirth.1 Almost 99% of these maternal deaths occur in developing countries, while sub-Saharan Africa (SSA) accounting for nearly two-thirds of maternal deaths.1,2 Ethiopia is one of the SSA countries that markedly contribute a high toll of avoidable maternal deaths worldwide, 412 per 100,000 live births.3 However, by 2030 global target to reduce maternal mortality ratio to less than 70 per 100,000 live births, working towards a vision of ending all preventable maternal mortality.4

Three maternal delays are identified as the main contributing factors for maternal mortality and morbidity in many developing countries. Ethiopia, the causes of maternal morbidity and morbidity are similar to many developing.5,6 Maternal delays contributing not only for maternal and neonatal mortality but also maternal morbidities like vaginal/uterine prolapse or puerperal psychosis can cause unwanted physical, mental, social, and economic consequences for respective families.7

There are variations in the magnitude of the three maternal delays for utilizing institutional delivery from deciding to seek emergency care to start in receiving of first healthcare. In developing countries, a study showed that the magnitude of the women, who experienced the first, second and third maternal delays were 71%, 40%, and 79%, respectively.8 A study was done in the Northern part of Ethiopia also showed that the magnitude of mothers who experienced the first, second and third maternal delays in utilization of institutional delivery services were 37.8%, 31.7%, and 30.7%, respectively.9

Many efforts have been made to tack the problem of the unacceptably high maternal delays in Ethiopia through several initiatives to increase access to and enhance communities’ demand for greater service use. By aligning with health extension program activities like user-fee exemption for institutional delivery service, maternity waiting home service, by availing ambulance service to reach a health facility for childbirth and community mobilization endeavors since July 2005 have been conducted in Ethiopia.2–4

Despite these efforts to increase institution-based delivery service in the country, only 26% of births were attended by skilled birth attendants (SBA). Skilled birth attendants play an important role in reducing maternal and neonatal mortality because they provide timely obstetric and newborn care for life-threatening complications.10

According to available evidence, illiteracy, poor knowledge on danger signs at labor and childbirth, inadequate birth preparedness and its complication readiness, decision-making powers of women, distance, lack of transport, lack of skilled health provider, lack of obstetric drugs were factors that contribute to three maternal delays.11,12,13

Even if the number of studies conducted in the country were identified factors associated with maternal delays for institutional delivery service utilization in urban settings, there is still information gap as well as minimal evidence on maternal delays for institutional delivery service utilization and associated factors among postnatal mothers in rural part of Ethiopia. Therefore, this study aimed to determine the magnitude of the maternal delays for institutional delivery service utilization in rural parts of the Gamo zone, Southern Ethiopia.

Objectives

General Objective

To determine the magnitude of maternal delays for institutional delivery service utilization and associated factors among postnatal mothers who gave birth at public health facilities in selected rural Woredas in Gamo zone, Southern Ethiopia in 2019.

Specific Objectives

To determine the magnitude of maternal delays for institutional delivery service utilization among postnatal mothers who gave birth at public health facilities in selected rural Woredas in Gamo zone, Southern Ethiopia in 2019.

To identify the factors associated with maternal delays for institutional delivery service utilization among postnatal mothers who gave birth at public health facilities in selected rural Woredas in Gamo zone, Southern Ethiopia in 2019.

Methods

Study Design and Setting

This facility-based cross-sectional study was conducted from March 1, 2019-April 30, 2019 in the Gamo zone which located 450kms from Addis Ababa, the capital city of Ethiopia and 275 km from Hawassa. Gamo zone is one of the zones of Southern Ethiopia. The Zone has a total of nine rural districts. There are four primary hospitals and one general hospital, 53 health centers, and 299 health posts.

Population

All postnatal mothers who give birth at public health facilities of the Gamo zone were source population whereas all post-natal mothers who give birth at public health facilities of the Gamo zone during the data collection period were study population.

Eligibility Criteria

All postnatal women who visited the public health facilities (PHF) for delivery service were included in the study area whereas all women who are severely ill during data collection period and women who utilized maternal waiting home were excluded.

Sample Size and Sampling Procedure

The minimal sample size required for this study was calculated using the Epi Info version 7.02 statistical software package with the assumption of 95% confidence level (Zα/2= 1.96), 80% power (Zβ= 0.84). The magnitude of first, second, and third maternal delays in utilizing institutional delivery service were 37.8%,14 29.7%,15 and 34.7%16 respectively. Considering a 10% nonresponse rate, the maximum sample size requires for this study was found to be 394 postnatal mothers (for first delay), 352 postnatal mothers (second delay), and 383 postnatal mothers (third delay). Since the sample size calculated for the first delay was greater than the second and third delays, 394 postnatal mothers were involved in the study.

To get the study participants, first, two districts (Dita and Chencha Zuriya districts) were selected randomly from the nine rural districts. All public health centers in the two selected districts were included and the sample size was proportionally allocated to all public health centers based on their monthly delivery load. Then, by using a simple random sampling method study participants were selected and interviewed in each health center.

Study Variables

Dependent Variables

First maternal delay: Was the time interval between recognition of the labor and make decision to seek institutional delivery service. Time taken ≥1 hr to make decision to seek care was considered as delay and less than an hour considered no delay.

Second maternal delay: was time interval from starting to reach health facilities after decision has made. Time taken ≥1 hr to reach facility considered as delay and less than an hour considered no delay.

Third maternal delay: was the time interval between reaching the facility and the delivery care service received. Time taken ≥1 hr to receive delivery service considered as delay and less than an hour considered no delay.

Independent Variables

Socio-economic factors: Maternal age, educational status of mother, husband’s education status, occupation of mother, occupation of husband, household monthly income, women decision-making power.

Obstetric health related factors: ANC follow-up, ANC frequency, number of children, previous pregnancy related problem, birth preparedness, type of delivery, and mother’s knowledge on danger signs of labor and childbirth.

Health-care system related factors: Multiple referrals, Absence of care provider, Lengthy admission process, and absence of obstetric drugs

Accessibility of facility-related factors: distance to health care facility, transportation inaccessibility, road unavailability and means of transportation used.

Data Collection Procedure

The data were collected by using face-to-face interviewer-administered and pre-tested structured questionnaires. The questionnaire was partly adapted from the survey tools developed by JHPIEGO maternal and neonatal health program.13 Also, it was adapted from published relevant literature.6,9,17,18,19 Initially it was prepared in English. The English version of the questionnaire was translated to the local language (Gammotho) and back-translated to English by language experts to check for its original meaning. The questionnaire was pre-tested on 20 respondents (5% of sample size) in Chencha primary hospital which was one of unselected health facilities to ensure clarity, wordings, logical sequence and skip patterns of the questions. Based on the pretest, the time needed to complete an interview and the total number of days needed for data collection was estimated. An appropriate training for data collectors and supervisors that include a briefing on the data collection process of the study, discussing the contents of the questionnaire were carried out. The overall activity of data collection was supervised and coordinated by the supervisors. The collected data were reviewed and checked for completeness and relevance before data entry by the investigator. The variables were defined or coded, then the data editing was carried out during the entry of data.

Data Processing and Analysis

Data were entered into Epi Data version 4.4 software and then exported to SPSS version 21.0 statistical package for social science (SPSS) for analysis. Descriptive statistics using frequencies, percentages, mean and standard deviations were used to describe findings. Bivariate analysis using logistic regression was done and all explanatory variables which have an association with the outcome variable at the p-value of less than 0.25 were selected as candidates for multi–variable analysis. Multi-collinearity between the candidate variables was checked. The level of statistical significance was declared at a p-value of less than 0.05 and AOR with 95% CI was used to measure the degree of association between independent variables and an outcome variable. Model fitness was checked using Hosmer and Lemeshow goodness of fitness test.

Ethics Consideration

Before the study conducted ethical clearance obtained from Arba Minch University, College of Medicine and Health Sciences institutional review board (IRB) with reference number of CMHS/12033814/111. Written informed consent was obtained from study participant for those aged 18 and above. For those participants, less than 18 years of age written informed consent was obtained from a parent or guardian using standard disclosure procedures. The confidentiality and privacy of participants were actively protected. All participants were assigned a unique identification number. Every effort was made to emphasize the voluntariness of this study and decisions to stop or discontinue in the study was respected and did not affect the regular attendance of care in any way.

Results

Socio-Economic Characteristics of the Study Participant

A total number of 394 respondents were included in the study, with a 99.24% response rate. Of which 316 (80.8%) of the respondents were aged between 21 and 34 years old and the mean age of mothers was 29 years (SD ±4.6). Most of the respondents, 266 (68%) were unemployed and 248 (63.4%) of respondents’ husbands were also unemployed. Regarding educational status, almost half of women and their husbands cannot read and write, 226 (57.8%) and 201 (51.4%) respectively (Table 1).

Table 1

The Socio-Economic Characteristics of Study Participants in Selected Rural Districts in Gamo Zone, Southern Ethiopia, 2019 (N=391)

Variables	Categories	Frequency
Mother’s Age	15–20	57(14.6%)
	21–34	316(80.8%)
	≥35	18(4.6%)
Ethnicity	Gamo	371(94.9%)
	Othersa	20(5.1%)
Religion	Orthodox	229(58.6%)
	Protestant	162(41.4%)
Mother’s occupation	Unemployedb	266(68%)
	Employed	125(32%)
Husband occupation	Unemployed	248(63.4%)
	Employed	143(36.6%)
Mother’s education	Cannot read and write	226(57.8%)
	Can read and write	67(17.1%)
	Primary (1–8 grade)	54(13.8%
	Secondary and above	44(11.3%)
Husband education	Cannot read and write	201(51.4%)
	Can read and write	66(16.9%)
	Primary (1–8 grade)	61(15.6%
	Secondary and above	63(16.1%)
Household monthly income (ETB)	≤ 1000ETB	338(86.44%)
	1001–1999ETB	13(3.33%)
	≥2000ETB	40(10.23%)

Notes: aOthers (Amhara, Gofa, and Wolayta), bUnemployed (housewife).

Obstetric Related Characteristics of the Study Participant

About 60 (15.3%) of the respondents faced obstetric problems during previous pregnancy. Out of respondents 239 (61.1%) were well prepared for birth and its complication and 209 (53.5%) of them had good knowledge on danger signs of labor/childbirth. Regarding women’s decisions, 108 (27.6%) decide jointly, 133 (37.4%) decide by their husbands, and the rest 137 (35%) decide by women (Table 2).

Table 2

The Obstetric Related Characteristics of Study Participants in Selected Rural Districts in Gamo Zone, Southern Ethiopia, 2019

Variables	Categories	Frequency
Previous pregnancy related problem(N=391)	Yes	60(15.3%)
	No	331(84.7%)
ANC follow up(N=391)	Yes	333(85.2%)
	No	58(14.8%)
Frequency of ANC visit(n=333)	<4 visit	165(48.6%)
	≥4 visit	168(51.4%)
Birth preparedness and its complication readiness plan (N=391)	Well prepared	239(61.1%)
	Not well prepared	152(38.9%)
Mother’s knowledge on danger signs of labor and childbirth	Poor	182(46.5%)
	Good	209(53.5%)
Who Consulted about institutional delivery service utilization? (N=391)	Family	243(62.1%)
	HWa	148(37.9%)
Final decision maker for institutional delivery service utilization (N=391)	Husband	146(37.4%)
	Jointly	108(27.6%)
	Women	137(35%)
Number of children (N=391)	≤ 2(alive)	194(49.6%)
	≥3(alive)	197(50.4%)
Mode of delivery (N=391)	SVDb	385(98.5%)
	Otherc	6(1.5%)

Notes: aHW (health worker), bSVD (spontaneous vaginal delivery), and cOther (instrumental delivery).

Health Facility-Related Characteristics the Study Participant

Among respondents, 148 (37.9%) of mothers live in a physical distance greater than or equal to 5 km to reaching nearby health facilities. Concerning means of transportation 199 (50.9%) respondents were carried by wooden stretcher, 133 (34%) were traveled on foot and, the rest 59 (15.1%) were traveled by Ambulance to reach the nearest health facility. With regards to the health-care system, 107 (27.4%) respondents did not get skilled health providers after arrival at the nearby health center. Nearly one-third, 126 (32.2%) of respondents had not got drugs from nearby health centers (Table 3).

Table 3

Health Facility-Related Characteristics of Study Participants in Selected Rural Districts in Gamo Zone, Southern Ethiopia, 2019 (N=391)

Variables	Categories	Frequency
Road unavailability	Yes	203(51.9%)
	No	188(48.1%)
Distance to reaching to nearby health facility	≥5km	148(37.9%)
	<5km	243(62.1%)
Transportation service unavailability	Yes	200(51.2%)
	No	191(48.8%)
Means of transportation used	Walking on foot	133(34%)
	Ambulance	59(15.1%)
	Stretcher	199(50.9%)
Absence of Skilled health provider	Yes	107(27.4%)
	No	284(72.6%)
Absence of obstetric drugs	Yes	126(32.2%)
	No	265(67.8%)
Lengthy admission process	Yes	75(19.2%)
	No	316(80.8%)
Multiple referrals	Yes	62(15.9%)
	No	329(84.1%)

Magnitude of Maternal Delays

In this study, the first delay, delay in decision making to seek institutional delivery service was 183 (46.8%) with [95% CI (41.9, 51.7)] and the mean delay time was 5 hrs with SD±2.6. Among respondents, the reasons for mothers to experience first delay was previous normal pregnancy outcome in 177 (45.3%) of the respondents, labor starting at night in 98 (25.1%) of the respondents, no money for transportation service in 13 (3.3%) of study subjects, no one to care for children remained at home in 82 (21%) of study participants. Besides, the study showed that the magnitude of the second maternal delay in utilization for institutional delivery service was 172 (44%) with [95% CI (39.4, 48.9)] and the mean delay time was 2.1 hrs with SD±0.93. Also, the study showed that the magnitude of third maternal delay in utilization for institutional delivery service was 124 (31.7%) with [95% CI (27.1, 36.1)] and the mean delay time was 1.56 hrs with SD±0.98 (Figure 1).

Figure 1

Magnitude of maternal delays among post-natal mothers in selected rural Woredas in Gamo Zone, Southern Ethiopia, 2019.

Factors Associated with Maternal Delays Among Post-Natal Mothers

The binary logistic regression analysis showed that age of mother, mother’s occupation, husband’s occupation, mother’s education, husband’s education, previous pregnancy-related problem, ANC follow up, birth preparedness and complication readiness, mother’s knowledge on danger signs of labor and child health, number of children, consultation for institutional delivery service, decision-maker for institutional delivery service, and household monthly income were found to be candidate variables for multivariable logistic regression analysis with the first maternal delay at p-value less than or equal to 0.25. From the total 13 variables that were entered into multivariable logistic regression analysis by stepwise backward logistic regression technique, five variables were significantly associated with the first maternal delay in utilization of institutional delivery service. Mother’s education, previous pregnancy health-related problems, birth preparedness, knowledge of danger signs of labor & childbirth, and decision-maker for institutional delivery were found to be significantly associated with first delay (Table 4).

Table 4

Factors Associated with First Maternal Delay in Utilization of Institutional Delivery Service Among Post-Natal Mothers in Selected Rural Districts of Gamo Zone, Southern Ethiopia, June 2019

Variables	Categories	First Maternal Delay		COR[95% CI]	AOR[95% CI]
		Delayed	Not Delayed
Mother’s Age	15–20	39(68.42%)	18(31.58%)	1.00	1.00
	21–34	134(42.41)	182(57.59%)	0.34[0.19,0.620]	2.50[0.53,12.02]
	≥35	10(55.56%)	8(44.44%)	0.58[0.19,1.707]	0.70[0.30,1.69]
Mother’s occupation	Unemployed	154(57.89%)	112(42.11%)	4.55[2.81,7.37]	2.20[1.15,4.16]*
	Employed	29(23.20%)	96(76.80%)	1.00	1.00
Husband occupation	Unemployed	143(57.66%)	105(42.34%)	3.51[2.25,5.47]	1.30[0.57,2.74]
	Employed	40(27.97%)	103(72.03%)	1.00	1.00
Mother’s education	Illiterate	128(56.64%)	98(43.36%)	2.61[1.72,3.97]	0.90[0.34,2.63]
	Literate	55(33.33%)	110(66.67)	1.00	1.00
Husband education	Illiterate	118(58.71%)	83(41.29%)	2.73[1.81,4.12]	0.90[0.34,2.54]
	Literate	65(34.21%)	125(65.79%)	1.00	1.00
House-hold monthly income (ETB)	≤ 1000	171(50.59%)	167(49.41%)	4.83[2.08,11.22]	0.60[0.17,1.79]
	1001–1999	5(38.46%)	8(61.54%)	2.945[0.74,11.75]	0.90[0.15,4.95]
	≥2000	7(17.50%)	33(82.50%)	1.00	1.00
Previous pregnancy-related problem	Yes	19(31.67%)	41(68.33%)	1.00	1.00
	No	164(49.55%)	167(50.45%)	2.12[1.18,3.80]	3.00[1.31,7.02]*
ANC follow up	Yes	134(40.24%)	199(59.76)	1.00	1.00
	No	49(84.48%)	9(15.52%)	8. 09[3.84,17.01)	1.26[0.46,3.43]
Birth preparedness	Well prepared	55(23.01%)	184(76.99%)	1.00	1.00
	Not well prepared	128(84.21%)	24(15.79%)	17.84[10.50,30.31]	2.70[1.29,5.71]*
Knowledge on danger signs of labor & childbirth	Poor	147(80.77%)	35(19.23%)	20.18[12.07,33.77]	7.20[3.52,14.52]*
	Good	36(17.22%)	173(82.78%)	1.00	1.00
Consultation about institutional delivery service	Family	158(65.02%)	85(34.98%)	9.15[5.52,15.14]	1.40[0.65,2.81]
	HW	25(16.89)	123(83.11)	1.00	1.00
Decision maker for institutional delivery service	Husband	117(80.14)	29(19.86)	18.07[9.98,32.75]	6.00[2.87,12.42]*
	Jointly	41(37.96)	67(62.04)	2.741[1.53,4.91]	1.20[0.56,2.37]
	Women	25(18.25)	112(81.75)	1.00	1.00
Number of children	≤2(alive)	77(39.69)	117(60.31)	1.00	1.00
	≥3(alive)	106(53.81)	91(46.19)	1.77[1.19,2.64]	1.60[0.85,3.11]

Notes: *p < 0.05. 1.00 reference category.

Abbreviations: AOR, adjusted odds ratio; COR, crudes odds ratio; CI, confidence interval.

Factors Associated with Second Maternal Delay Among Postnatal Mothers

From the total nine variables were entered into multivariable logistic regression analysis, five variables were significantly associated with a second maternal delay in the utilization of institutional delivery service. Husband education, transport unavailability, distance to health facility, and means of transportation were found to be significantly associated with the second delay (Table 5).

Table 5

Factors Associated with Second Maternal Delay in Utilization of Institutional Delivery Service Among Post-Natal Mothers in Selected Rural Districts of Gamo Zone, Southern Ethiopia, June 2019

Variables	Categories	Second Maternal Delay		COR[95% CI]	AOR[95% CI]
		Delayed	Not Delayed
Mother’s occupation	Unemployed	138(51.88)	128(48.12)	2.89[1.82,4.58]	1.0[0.41,2.43]
	Employed	34(27.20)	91(72.80)	1.00	1.00
Husband occupation	Unemployed	134(54.03)	114(45.97)	3.25[2.08,5.08]	2.20[1.16,4.11]*
	Employed	38(26.57)	105(73.43)	1.00	1.00
Mother’s education	Illiterate	117(51.77)	109(48.23)	2.15[1.42,3.25]	2.80[0.96,8.05]
	Literate	55(33.33)	110(66.67)	1.00	1.00
Husband education	Illiterate	100(49.75)	101(50.25)	1.62[1.09,2.43]	0.70[0.36,1.50]
	Literate	72(37.89)	118(62.11)	1.00	1.00
Road unavailability	Yes	148(72.91)	55(27.09)	18.39[10.84,31.19]	2.30[0.95,5.79]
	No	24(12.77)	164(87.23)	1.00	1.00
Transportation unavailability	Yes	149(74.50)	51(25.50)	21.34[12.44,36.59]	6.90[3.62,13.06]*
	No	23(12.04)	168(87.96)	1.00	1.00
Distance to reaching HF	≥5km	125(84.46)	23(15.54)	22.66[13.12,39.16]	7.00[3.58,13.71]*
	<5km	47(19.34)	196(80.66)	1.00	1.00
Means of transportation used	Othersa	164(49.39)	168(50.61)	6.22[2.87,13.52]	3.30[1.13,9.54]*
	Ambulance	8(13.56)	51(86.44)	1.00	1.00
1st maternal delay	No	57(27.40)	151(72.59)	1.00	1.00
	Yes	115(62.84)	68(37.16)	4.5[2.92,6.87]	1.90[1.01,3.44]*

Notes: *p < 0.05. 1.00 reference category. aOthers (walking on foot and stretcher (wooden)).

Abbreviations: AOR, adjusted odds ratio; COR, crudes odds ratio; CI, confidence interval.

Factors Associated with Third Maternal Delay Among Postnatal Mothers

From the total six variables were entered into multivariable logistic regression analysis, four variables were significantly associated with the third maternal delay in the utilization of institutional delivery service. Absence of skilled health provider, absence of essential obstetric drugs, first maternal delay and second maternal delay were found to be significantly associated with the third delay (Table 6).

Table 6

Factors Associated with the Third Delay in the Utilization of Institutional Delivery Service Among Post-Natal Mothers in Selected Rural Districts of the Gamo Zone, Southern Ethiopia. June 2019

Variables	Categories	Third Maternal Delay		COR[95% CI]	AOR[95% CI]
		Delayed	Not Delayed
Absence of Skilled health provider	Yes	90(84.11)	17(15.89)	38.93[20.73,73.09]	10.40[4.24,25.69]*
	No	34(11.97)	250(88.03)	1.00	1.00
Absence of obstetric drugs	Yes	100(79.37)	26(20.63)	38.62[21.16,70.5]	8.40[3.76,18.76]*
	No	24(9.06)	241(90.94)	1.00	1.00
Lengthy admission process	Yes	58(77.33)	17(22.67)	12.92[7.06,23.09]	1.80[0.73,4.36]
	No	66(20.89)	250(79.11)	1.00	1.00
Multiple referrals	Yes	29(46.77)	33(53.23)	2.17[1.25,3.76]	1.10[0.46,2.56]
	No	95(28.88)	234(71.12)	1.00	1.00
1st maternal delay	No	46(22.11)	162(77.89)	1.00	1.00
	Yes	78(42.62)	105(57.38)	2.63[1.69,4.06]	2.10[1.04,4.26]*
2nd maternal delay	No	45(20.55)	174(79.45)	1.00	1.00
	Yes	79(45.93)	93(54.07)	3.29[2.11,5.12]	2.70[1.34,5.55]*

Notes: *p < 0.05. 1.00 reference category.

Abbreviations: AOR, adjusted odds ratio; COR, crudes odds ratio; CI, confidence interval.

Discussion

The finding of this study found that the magnitude of first, second and third maternal delays were 46.80%, 44.00%, and 31.70%, respectively. Unemployed women, birth preparedness, husband’s decisions making were found to be significantly associated with first delay. Distance to health facility and means of transportation were found to be significantly associated with the second delay. Availability of obstetric drugs and availability of skilled health provider were found to be significantly associated with the third delay for institutional delivery.

The magnitude of the first maternal delay in the utilization of institutional delivery service was 46.8%. The finding of this study was consistent with the study done in Yem special district, Southern Ethiopia, 44.2%.18 But it is higher than the findings from studies in Bahir Dar town, Northern Ethiopia, 37.8% and Hadiya zone, Southern Ethiopia,40.1%.9,17 The possible reason for this discrepancy might be since the current study only involved in rural women while the previous studies conducted in urban women. It is known that urban women have relatively better education, economy and access to information. This implies that most mothers did not decide to seek institutional delivery service on time at the household level.15

However, the finding of this study is lower than the study findings in Pakistan, 71%,15 in Bangladesh, 69.3%,16 in Nigeria, 57%.19 This is might be due to the difference in time of the studies conducted, population difference, scope of the study, methodological difference, lack of health extension program, and the way of people’s life.

The result of this study showed that the first maternal delay in the utilization of institutional delivery service was significantly influenced by the occupation of the mother. Unemployed mothers were more likely to have first maternal delay in utilization of institutional delivery service than employed mothers. This study is in line with the study done in Bahir Dar, Amhara region and Hadiya zone, Southern Ethiopia.9,17 The possible explanation could be women not involved in income-generating activities, which in turn can be the cause of women’s dependency on their husbands’ income, consequently, influence timely decide to receive institutional delivery service.

Women’s decision-making power was also one of the factors associated with the first maternal delay in the utilization of institutional delivery service. Women whose husband made decisions were more likely to experience a first maternal delay in the utilization of institutional delivery service as compared to those who decided on their own. This finding is similar to those of studies conducted in Bahir Dar, Amhara region and Yem special district, Southern Ethiopia.9,18 This might be due to husbands or male partner’s dominance in decision making and hence, increase the risk of delay.

Similarly, birth preparedness and its complication readiness were some of the other factors associated with the first maternal delay in the utilization of institutional delivery service. Women with no birth preparedness for institutional delivery service were more likely to have first maternal delay in the utilization of institutional delivery service as compared to those were well prepared for birth and its complications. This finding was supported by a study conducted in Bangladesh and Yem special district, Southern Ethiopia.14,18 This could be due to those well-prepared women aware of the importance of timely decision to receive delivery service and know where or when to go to seek care.

The study indicated that women who faced no obstetric problems during the previous pregnancy were more likely to have the first delay in the utilization of institutional delivery service compared to those who faced obstetric problems. This finding is coherent with the study done in Bahir Dar Ethiopia.9 This might be because of mothers develop confidence and experiences that the index pregnancy would also be without problems. This implies that health workers should create awareness of obstetric complications during pregnancy, labor and childbirth, and post-partum because all pregnant mothers were risky unless served by a skilled health provider.

The study also revealed that women who have poor knowledge of the danger signs of labor and childbirth were more likely to experience the first delay in the utilization of institutional delivery service as compared to those who had good knowledge. This finding in line with the study done in Tanzania.20 This might be women have poor awareness of obstetric danger signs during labor and childbirth. This implies that health professionals should strive to create awareness activities for pregnant mothers on danger signs during labor and childbirth during ANC follow uptime.

This study finding showed that the magnitude of second maternal delay in utilization of institutional delivery service was 44%. This finding was similar to the finding of the study done in Yem special woreda, Southern Ethiopia, 43.2%.18 But it is higher than the findings from studies in Urban Bangladesh 38%,14 in Bahir Dar town, Amhara region 31.7%9 and in Hadiya zone, the Southern region was 29.7%.17 The difference might be due to the inaccessibility of health facility, place of study setting, unavailability of road and inadequate Ambulance service, and economic status of women. This implies that many mothers were spent their time walking on foot as well as were carried by wooden stretchers to reach nearby health centers.12 However, the findings of this study are lower than the study findings in Pakistan, 74%,15 in Afghanistan, 65%,21 in Egypt, 55.3%.22 This might be the time gap of the study, road, and telecommunication infrastructure improvements, and expansion and closeness of health facilities to the community.

The study found that mothers who use other means of transportation were more likely to face second maternal delay in utilizing institutional delivery service than mothers those used ambulances. This result is coherent with the study done in Hadiya zone, Southern Ethiopia.17 This might be inadequate ambulance services as well as transportation difficulties and a lack of money for accessing institutional delivery services.23 This all might delay the mother to utilize delivery services. This implies that the majority of postnatal mothers were not used in Ambulance services.

The study also revealed that second maternal delay in utilizing institutional delivery service was higher among mothers living more than 5 kms from nearby health centers when compared to those living within 5 kms rang. This result is coherent with the study done in Hadiya zone, Southern Ethiopia.17 This might be the longer the physical distance to reaching caregiving health centers may require more relatives to accompany with mother and prolongs reaching time to health facility. This implies that women have difficulty to obtain transportation services, which may require more relatives to accompany as well as walking on foot for a long time, which in turn can be the cause of women’s face obstetric complications, consequently influence timely reach to nearby health facility to receive institutional delivery service.21

Further, the study showed that mothers with unemployed husbands were more likely to face a second delay in utilizing institutional delivery service when compared to those mothers with employed husbands. This may be explained with the husband was not involved in income-generating activities, which in turn can be directly the cause of women to have not accessing to transportation service even if transportation service is available as well as needs more relatives to accompany at times of referrals in case of emergencies. This implies that further efforts are required husband’s occupational status affects the second delay.

This study investigation showed that the magnitude of third delay in utilization of institutional delivery service was found 31.7% which was consistent with the study findings in Bahir Dar Ethiopia 30.7%,9 in Yem special district, 34.7%,18 and in Hadiya zone, Southern region was 32.6% 17 but this is higher than study finding in Jordan, which was 17.1%.24 This might be a health service delivery system difference, difference in the study setting, medical supply difference, and professional staff in skilled delivery.25 This implies that mothers waited for a long time to utilize institutional delivery service after they arrived at the health center.18,25

The absence of skilled health providers was the factor associated with the third maternal delay in the utilization of institutional delivery service. The study revealed that mothers who did not get skilled health providers were more likely to experience a third maternal delay in the utilization of institutional delivery service when compared to mothers who had got a skilled health-care provider. This result is in line with the study done in Hadiya zone Ethiopia.17 This can be explained in different ways as the health workers were overwhelmingly deficient due to the absence of continuing education programs, adequate formal learning, as well as poor access to update educational resources, lack of staff motivation issues, and lack of accountability.25,26 This all might delay the mother to utilize delivery services.

The absence of obstetric drugs was another factor that associated with a third maternal delay in the utilization of institutional delivery service. This study showed that mothers who did not get drugs were at higher risk of delaying in the utilization of institutional delivery service than mothers who had to get drugs. This finding was supported by the systematic review study in developing countries.25

Limitations

Readers should be cautious when interpreting the findings of this study, since the data were obtained from women who attended institutional delivery that might not representative to all women who give birth in Ethiopia. Since interviewer-administered questionnaire was used to collect data that may be prone to social desirability bias. Furthermore, this study uses of a cross-sectional design which failed to distinction case and effect relationship. Further research should be conducted to identify factors associated with maternal delays to strengthen and broaden our results in different countries.

Conclusion

This study showed that the magnitude of first, second and third maternal delays in the utilization of institutional delivery services in our study area was high which indicates that most of the mothers were not utilize institutional delivery services in the recommended time range. Mother’s knowledge of danger signs of labor, mother’s occupation, birth preparedness and complication readiness, husband’s decision making for utilization of institutional delivery service and history of pregnancy-related problem, and husband’s decision making for utilization of institutional delivery service were factors that associated with first maternal delay. Besides, distance to reaching health-care facility means of transportation used, husband occupation, and transportation service difficulties were factors associated with maternal second delay. Furthermore, the absence of skilled health providers and the absence of obstetric drugs were factors associated with the third maternal delay in the utilization of institutional delivery service. Therefore, emphasis should be given for awareness creation on key danger signs during labor and childbirth, women empowerment in decision making, strengthening ambulance services and availing obstetric drugs at health center levels to save mother and neonate.