The Cost of Maternal Complications and Its Associated Factors Among Mothers Attending Public Hospitals in Harari Region and Dire Dawa City Administration, Eastern Ethiopia: An Institution-Based Cross-Sectional Study

Abstract

Background

Pregnant women face high costs for health-care services despite being advertised as free. These costs include non-medical expenses, lost productivity, difficulties caring for family members, and long-term financial impact from complications. Limited research has been done on the cost burden of maternal services and complications, despite numerous studies on maternal health service provision. This is notable considering the government’s claim of providing free maternal health-care services.

Methods

A cross-sectional study was conducted in July (1–30) 2022 among 425 randomly selected mothers in Harari and Dire Dawa City, Eastern Ethiopia. Data were collected through structured questionnaires and medical record reviews. The collected data was entered into Epi-Data version 3.02 and analyzed using STATA version 14.0 after data cleaning. Descriptive statistics and linear regression analysis were used to examine the data, ensuring assumptions of linearity, independence, homoscedasticity, and normality were met. The correlation coefficient was used to assess the strength of the association.

Results

The median cost of maternal complications was around 4250 ETB (81.3 USD; IQR = 2900–5833.3), factors that predicted cost were monthly family income of ≥3001 birr (β=1.13; 95% CI: 1.00, 1.26), distance from hospital (β=0.73; 95% CI = 0.64–0.83), being admitted for less than 4 days (β=0.60; 95% CI = 0.53–0.69), accompanied by relatives besides their husbands (β=1.93; 95% CI = 1.52–2.46), caesarian sections delivery (β=1.17; 95% CI = 1.04–1.31), and giving birth to a normal baby (β=0.86; 95% CI = 0.77–0.97).

Conclusion

Maternal complications incur significant costs, with factors such as family income, travel time, hospital stay, caregiver presence, mode of delivery, and neonatal outcome predicting these costs. The Ethiopian health system should address the additional expenses faced by mothers with complications and their caregivers.

Background

Maternal health-related complications occur during any stage of pregnancy, delivery, and postpartum. They have an impact on the women’s physical, social, psychological, and economic wellbeing. In developing countries, these complications are the most significant public health challenge because of the cultural norms, poverty, lack of access to basic education, inaccessibility of essential health-care services.¹

The concept of cost is referred as a measurement in monetary terms measuring the number of resources used for production of goods or for rendering health services. It is classified as direct non-medical costs, direct payment owed for service provided in money or in kind, such as for travel, food, and nutritional supplements during care and the medical costs related with the diagnosis and treatment services received, Financial constraints can happen due to direct medical and non-medical costs that are directly related with seeking any maternal health services and the indirect costs are related with productivity loss due to absenteeism from work.^2,3

In measuring the costs related to delivering health-care services, the indirect type of cost valuation measuring productivity loss uses two important methods, such as the human capital approach (HCA) and the friction cost approach (FCA). HCA is based on the neoclassical theory that values production losses based on labor costs, while all productivity losses up to retirement are included. FCA values production loss in the friction period and the transaction costs of training and replacing with previously unemployed person.^2,4,5

Ethiopia's average per capita income in 2022 was 857.32 USD and the health system expenditure is mainly (37%) covered by out-of-pocket spending followed by donor agencies 33% and the government spending 8.2%. According to the WHO, above 15–20% out-of-pocket expenditure on health care is a catastrophic expenditure; recent works have been done to improve the risk people face due to high financial burden using schemes including health insurance, majorly community-based health insurance (CBHI).^6,7

The cost of seeking care is very high for pregnant women even if the service is free. Other associated expenditures like non-medical costs, productivity loss, not being able to take care of other family members, and the cost of acute health problems and long-term disabilities from complications during pregnancy and delivery are still very high.^8,9

Although Ethiopia has tried to subsidize the cost of facility-based delivery services, women and households are being pushed into extreme poverty by the high cost of seeking delivery care, which is not considered in the government’s attempt to give free-of-charge service. For example, in a study conducted in public health facilities in Bale Zone, the median hidden cost was 877.5 ETB (32.03USD), whereas 5120 ETB in Mekelle General Hospital.^6,10

So far, many maternal health-related research were conducted in the magnitude and the service provision of maternal health. There is thus limited research conducted to assess the cost burden of maternal service, including maternal complication, where the government is claiming every maternal health service is free of charge. Therefore, this study is aimed at assessing the cost of maternal complications and associated factors among mothers attending public hospitals in the Harari region and Dire Dawa City Administration, Eastern Ethiopia.

Methods and Materials

Study Setting, Design and Participants

An Institutional-based cross-sectional study design was conducted in public hospitals in the Harari region and Dire Dawa city administration from July 1–30, 2022. Dire Dawa (chartered city) city is located 530km east of the capital of Ethiopia, Addis Ababa. Based on the 2007 census conducted by the central statistical agency (CSA) population of the city is projected to be about 341,834 of which 171,461 are men and 170,461 women. In the city administration, there are 2 public hospitals, 14 health centers, and 58 health posts the expected number of delivery in Dil Chora hospital is 295 and 203 for Sabian general hospital and the number of women expected to be admitted with complication were 142 and 93 for Dil Chora hospital and Sabian general hospital, respectively, based on the review of last year’s same month data.

Harari regional state is located 525km east of Addis Ababa. The projected total population is 183,415, of whom 92,316 were men and 91,099 women, in this region, there are two public hospitals, one teaching and the other a general hospital, and 10 health centers and 32 health posts are serving the population. The expected number of deliveries for Hiwot Fana specialized university hospital is 590 and 154 for Jugal hospital, those expected to be admitted with complications were 209 and 38 for Hiwot Fana specialized university hospital and Jugal hospital, respectively. The study population includes all randomly selected mothers with complications who were admitted to the public hospitals of the Harari region and Dire Dawa city administration at the time of data collection. Mothers who were admitted with gynecological complications and those who were referred out from the institutions for further management were excluded from the study.

Sample Size and Sampling Procedure

Maximum sample size of 429 was obtained considering the assumption for single population mean formula with the 337.42 and 156 mean direct cost and standard deviation, respectively, were derived from a study conducted in Bale zone,⁷ d assumed to be 15.12 (derived by calculating the margin of error using the formula ), sample size (409) and standard deviation (156), using the same study conducted in Bale zone,⁷ 95% confidence interval and using the formula,

Where n = required sample size, z = reliability coefficient for 95% confidence interval (1.96), δ = standard deviation (156), and d = assumed marginal error (15.12). By adding a 5% non-response rate, the final sample size for this study was 429.

There are two public hospitals in Dire Dawa city administration and one teaching and one general hospital found in Harari regional state and these four hospitals are the study areas where the study was undertaken. The monthly expected mothers admitted with complications to Dil-Chora Hospital, Sabian General Hospital, Jugal general Hospital, and Hiwot Fana specialized university Hospital is 142, 93, 38, and 209, respectively, based on last year’s same month report of the institutions.

Sampling with proportional to population size was considered to select the study units. Accordingly, by proportionally allocating samples based on their last year’s same month report of mothers with complications, 126 mothers from Dil Chora Hospital, 83 from Sabian General Hospital, 34 from Jugal General Hospital, and 186 mothers from Hiwot Fana specialized university Hospital were selected. All individual mothers who were admitted within the data collection month were recruited to participate in this study, as the number of mothers admitted with complications based on last year’s report is comparable with the calculated sample size (Table 1).

Table 1.

Sampling Procedure for Selecting Mothers with a Complication Within Harari Regional State and Dire Dawa City Administration, Eastern Ethiopia 2022

Regions	Study Area	Total Number of Expected Maternal Complication	Number of Randomly Selected Women from Which Data was Collected
Harari regional state	Hiwot Fana specialized university Hospital	209	185
	Jugel general Hospital	38	34
Dire Dawa city administration	Dil-chora hospital	142	123
	Sabian general hospital	93	83

Data Collection Tools and Methods

Data Collection Tool

The data was collected using a structured questionnaire adapted from the National health account 2016,¹¹ Mini EDHS 2019¹⁰ and a study done in the bale zone⁷ to assess the cost of maternal complication. The first part of the questionnaire contains the socio-demographic status of participants and their partners from mini EDHS 2019¹⁰ and National health account 2016,¹¹ clinical characteristics of the mothers with a complication from a study done in bale zone⁷ and the last part contains the institutional factors that are related with the diagnosis, treatment and other services the mothers and their attendant’s use from National health account 2016.¹¹

Data Collection Methods

The data were collected using face-to-face interviews of mothers admitted with complications and document review by using a pretested structured questionnaire that was administered by trained data collectors to women who were going to be discharged from their admission and their partner.

Four BSC public health officers were recruited for data collection and the investigator closely supervised the data collection process.

Study Variables

Dependent Variable

Cost of maternal complications.

Independent Variables

Socio-demographic factors: Age, Marital status, Educational status, Place of residence, Income, Expenditure, Occupation, Living arrangement, Family size.

Institutional factors: Payment modalities, Distance from facility, Availability of medication, Availability of diagnostic modalities, Availability of treatment services, Admission Unit, Length of stay.

Clinical characteristics of the respondents: Hemorrhage, Obstructed labor, Preeclampsia, Antepartum hemorrhage, Post-partum hemorrhage, Sepsis, Abortion.

Measurement

Maternal complications: are defined as “potentially life-threatening conditions”. This is an extensive category of clinical conditions, including diseases that can threaten a woman’s life during pregnancy and labor and after the termination of pregnancy.¹²

Non-medical direct costs are out-of-pocket payments made by mothers (who are admitted with complications) or guardians for the transportation, accommodation, food, and nutritional supplements.⁶

Direct medical costs: are out-of-pocket payments made by mothers (who are admitted with complications) or guardians for medical services (consultations, laboratory tests, medicines, and medical procedures).⁶

Indirect cost: Productivity and economic costs of a mother or household incurred as a result of delivery service and during admission. Indirect costs are estimated using a total period of absence in hours multiplied by the hourly wage rate of the absent mother from their workplace.⁶

The human capital approach: was used to value the productivity time losses which uses the multiplication of the daily income of the women with the number of days being absent from work for treatment and recovery and it estimates the productivity loss of the mother.

Income: The amount of money received by a household during the reference period in exchange for labor or services, from the sale of goods or property, or as a profit from financial investments.³

The total cost: was estimated by adding the direct non-medical, indirect and direct medical cost.

Data Quality Control

To assure the quality of data, a two days of training was given to data collectors before the data collection time. To check the validity and reliability of the questionnaire to the objectives of the study, pre-test was conducted on 5% of the participants at Bisidimo Hospital. The questionnaire was translated to “Amharic”, “Afaan Oromo” and “Somali” language and back translation was done to English for the consistency of the data. The principal investigator led the team and supervised the correct implementation of the procedure by checking the completeness and logical consistency immediately at the collection site. Double data -entry was performed by two different individuals to minimize errors.

Data Processing and Analysis

The collected data was checked for completeness and consistency and each questionnaire was assigned a unique code before entering it into EPI- DATA statistical software.

Then, the data was exported to STATA version 14.0 for cleaning and analysis. Descriptive statistics such as frequencies, appropriate measures of central tendency, and dispersion was used to describe the data.

The parameters connected to the overall cost of maternal complications were found using simple and multivariate linear regression. In order to measure the strength of the association and factors associated with the outcome variable, variables with a p-value 0.25 during bivariable analyses were entered into multiple linear regression analysis after checking the assumptions for a linear relationship, independence, homoscedasticity, normality, and correlation coefficients along with 95% confidence intervals. At a p-value of 0.05 or lower, statistical significance was judged to have been reached.

The variance inflation factor (VIF), whose mean value was 5 (mean VIF = 1.90), was used to test for multicollinearity. Using the Shapiro–Wilk fit test, normality was evaluated. This is due to the Swilk test’s finding of insignificance at p0.05 (p = 0.000) and the model did not fit.

Results

Sociodemographic Characteristics of Respondents

A total of 425 mothers participated in this study yielding a response rate of 99%. In the current study, around half of the respondents (52.2%) were in the age group 25–34 years with the mean (±SD) age of 25.7 (±5). More than half (54.5%) of the respondents were from urban area and 56.5% came to the health facility through referral from other facilities. More than two-third (70.1%) of the respondents were Muslim, and 98.8% were currently married. More than one-fourth (28.5%) of the participants and 15.1% of their partners have never attended formal education. Around two-third (67.3%) of the participants were housewife and 28.9% of their partners were government employees. Around 80.5% of the respondents obtain a total family income of ≥3000 ETB (57.4 USD) with mean 8145.9 (±5627.3) (±SD) (Table 2).

Table 2.

Socio-Demographic Characteristics of Mothers with Complications Attending Public Hospitals in the Harari Region and Dire Dawa City Administration July 1–31, 2022 (n = 425)

Variables	Category	Frequency	Percent
Age in years*	15–24	176	41.2
	25–34	222	52.2
	35–44	27	6.6
Residence	Urban	231	54.4
	Rural	194	45.6
Referral	Other facility	240	56.5
	Self-referral	185	43.5
Religion	Orthodox	102	24
	Muslim	298	70.1
	Protestant	25	5.9
Current marital status	Single	3	0.7
	Married	420	98.8
	Widowed	2	0.5
Educational status	No formal education	122	28.7
	Primary level (1–8)	119	28
	Secondary (9–12)	114	26.8
	College/University	70	16.5
Husband educational status	No formal education	64	15.1
	Primary level (1–8)	102	24
	Secondary level (9–12)	137	32.2
	College/university	122	28.7
	Government employee	74	17.4
Occupation	Merchant	51	12
	House wife	286	67.3
	Farmer	4	0.9
	Private employees	10	2.35
	Government employee	123	28.9
Husband occupation	Merchant	67	15.8
	Farmer	106	24.9
	Private employee	113	26.6
	Daily laborer	16	3.76
Total money earning family members** Working family members**	<5	328	77.2
	≥5	97	22.8
	≤2	419	98.6
	>2	6	1.4
Total number of children**	<4	371	87.3
	≥4	54	12.7
Total family monthly income***	<1000	2	0.5
	1001–3000	81	19
	≥3001	342	80.5
Total family monthly expenditure***	<1000	5	1.2
	1001–3000	114	26.8
	≥3001	306	72

Notes: *Abadi and Mebratie.⁸ **Statistical method (Mean) was used to classify as cutoff point. ***Classified using terciles 1st terciles being 1000, 2nd 2000, 3rd terciles 3000, the baseline was average household income which was around (926 USD) 4012 birr in 2022 world bank report and also Merga et al.⁷

The Institutional Factors Related with Cost of Maternal Complications

About 60% of the respondents came from a distance of less than 20km with mean 19.03 (±20.25). Around 32% of the participants used ambulance as a mode of transportation, while 38.8% used taxi (Bajaj). The majority (96.7%) of respondents were accompanied by their relatives besides their husbands when coming to the institutions (Table 3).

Table 3.

Institutional Factors Related with Cost of Maternal Complications Attending Public Hospitals in the Harari Region and Dire Dawa City Administration July 1–31, 2022 (n = 425)

Variables	Category	Frequency	Percent
Distance from hospital*	≤20 km	255	60
	>20 km	170	40
Method of transport	Ambulance	143	33.7
	Private car	43	10.1
	Bajaj	165	38.8
	Public transport	69	16.2
	On foot	5	1.2
Total time to reach hospital*	<30min	241	56.7
	≥30min	184	43.3
Total admission day*	≤4 days	348	81.9
	>4 days	77	18.1
Accompanied by relatives besides their husbands	No	14	3.3
	Yes	411	96.7
Days stayed with the mother*	≤4 days	349	82.1
	>4 days	76	17.9

Notes: *Statistical method (mean) was used as cut off point to classify the category.

Clinical Characteristics of the Respondents

When we see the clinical characteristics of mothers, 56% of the respondents were multigravida and 83.1% of them were multiparous. From the total respondents, 43.8% mothers were admitted with obstructed labor, and 65.4% gave birth through caesarian section. Around 80% gave birth to a normal baby and 11.8% end up with dead child (Table 4).

Table 4.

Clinical Characteristics Related with Mothers with Complications Attending Public Hospitals in the Harari Region and Dire Dawa City Administration July 1–31, 2022 (n = 425)

Variables	Category	Frequency	Percent
Gravida	Primigravida	118	27.8
	Multigravida	238	56
	Grand multigravida	69	16.2
Parity	Nulliparous	17	4
	Multiparous	353	83.1
	Grand multipara	55	12.9
Method of delivery	SVD	112	26.4
	Cesarean section	278	65.4
	Assisted Vaginal delivery	35	8.2
Admission reason	Hemorrhage	27	6.3
	Obstructed labor	186	43.8
	Preeclampsia	102	24
	APH	42	9.9
	PPH	34	8
	Sepsis	10	2.4
	Abortion	9	2.1
	PROM	15	3.5
Neonatal outcome	Normal	339	79.8
	Dead	50	11.8
	Asphyxia	10	2.3
	Low birth weight	15	3.5
	Preterm	2	0.5
	Low APGAR score	3	0.7
	Birth defect	6	1.4

The Cost of Maternal Complications

In this study, the total median (IQR) cost of maternal complications was around 4250 ETB (81.3 USD; IQR = 2900–5833.3), while the median (IQR) direct medical cost incurred by mothers was 1300 ETB (24.9 USD; IQR = 800–1933) and the direct nonmedical cost was 1560 ETB (29.8 USD; IQR = 795–2850). Among the direct nonmedical costs, the median costs of food expense was 800 ETB (15.3 USD), while the drinking expense was 300 ETB (5.7 USD). The median transportation expense was 300 ETB (5.7 USD) and the lodging expenses was 300 ETB (5.7 USD). The Indirect median (IQR) cost was about 800 ETB (15.3 USD; IQR = 400–1400) median productivity loss of the caregivers was around 700 ETB (13.4 USD) (Table 5 and 6).

Table 5.

The Costs of Maternal Complication in Mothers with Complications Attending Public Hospitals in the Harari Region and Dire Dawa City Administration July 1–31, 2022 (n = 425)

Cost Category	ETB		Median		Min/Max Cost
	Mean	SD	ETB	USD	ETB	USD
Direct medical cost (n = 425)	1475.6	981.6	1300	24.9	0–9000	0–172.2
Drugs	1475.6	981.6	1300	24.9	0–9000	0–172.2
Direct non-medical cost (n = 425)	2030.9	1648.8	1560	29.8	25–8730	0.45–167
Food expenses	972.8	950.4	800	15.3	0–5400	0–103.3
Drinking expenses	387.3	311.1	300	5.7	0–2500	0–47.8
Transport expenses	608.2	930.4	300	5.7	0–6000	0–114.8
Lodging expenses	4.9	59.5	0	0	0–1000	0–19.1
Communication	58.8	49.4	50	0.96	0–300	0–5.7
Indirect cost (n = 425)	1145.7	1086.4	800	15.3	0–6667	0–127.5
Mother productivity loss	209.6	425.5	0	0	0–3267	0–62.5
Care giver productivity loss	936.1	795.4	700	13.4	0–5000	0–95.6

Note: 1USD= 52.27 ETB.

Table 6.

The Cost of Maternal Complication by Mode of Delivery and by Reason for Admission in Mothers with Complications Attending Public Hospitals in the Harari Region and Dire Dawa City Administration July 1–31, 2022 (n = 425)

Variables	Median		IQR	Min/Max Cost
	ETB	USD		ETB	USD
Mode of delivery
SVD (n = 112)	4050	77.48	(2887.5–5591.7)	(1275–14,846.7)	(24.39–284.04)
Cesarean section (n = 278)	4485	85.80	(3070–6083.3)	(610–15,040)	(11.67–287.73)
Assisted delivery (n = 35)	2940	56.25	(2218.3–4400)	(1436.7–6695)	(27.5–128.08)
Reason for admission
Hemorrhage (n = 27)	3810	72.9	(3175–5833.3)	(2158.3–8241.7)	(41.29–157.7)
Obstructed Labor (n = 186)	4105	78.5	(2900–5585)	(610–12,753.3)	(11.7–243.98)
Preeclampsia (n = 102)	4348.3	83.19	(2638.3–5908.3)	(1025–15,040)	(19.61–287.74)
APH (n = 42)	5470	104.65	(3305–7250)	(1637–13,520)	(31.32–258.66)
PPH (n = 34)	3795	72.6	(2700–5650)	(1798.3–7833.3)	(34.4–149.86)
Sepsis (n = 10)	5248.7	100.4	(3800–6356.7)	(2625–9840)	(50.22–188.25)
Abortion (n = 9)	4210	80.5	(3900–5140)	(2510–8123.3)	(48.02–155.4)
PROM (n = 15)	4616.7	88.3	(3334.3–5556.7)	(1555–9463.3)	(29.75–181.05)

Note: 1USD = 52.27 Birr.

Factors Predicting the Cost of Maternal Complication Among Admitted Mothers

Factors that predict the cost of maternal complications were identified after performing simple linear regression. Factors with a p-value less than 0.25 were entered into a multiple linear regression model. These variables were residence, referral, marital status, education status of the mother and their husbands, husbands occupational status, the total family size of the household, working family members in the household, number of children in the household, family income, distance from the residence, method of transportation used, time taken to reach the hospital, hospital length of stay (HLoS), accompanied by relatives besides their husbands, gravidity, parity, mode of delivery, admission reason, and neonatal outcome.

Among these variables, family income, time taken to reach the hospital, hospital length of stay, accompanied by relatives besides their husbands, mode of delivery, neonatal outcome appeared to be statistically significant at a p-value of <0.05. The model explained about 32.6% (R² = 0.3261, P < 0.0000) of variance.

Accordingly, holding other variables constant, households with monthly family income of ≥3001 birr have 13% increased cost than those with less income groups (β=1.13; 95% CI: 1.00, 1.26). The cost of maternal complication was decreased by 27% (β=0.73; 95% CI = 0.64–0.83) among women who reached the hospital within 30 minutes compared to those who came longer than 30 minutes.

The cost of mothers admitted for less than 4 days was decreased by 40% than those staying more than 4 days (β=0.60; 95% CI = 0.53–0.69). Additionally, mothers who were accompanied by relatives besides their husbands cost increased by 93% than those who came only with their husbands (β=1.93; 95% CI = 1.52–2.46) and the cost incurred by mothers who had undergone caesarian sections was increased by 17% than those who gave birth through other SVD (β=1.17; 95% CI = 1.04–1.31). Giving birth to a normal baby decreased the cost by 14% than those mothers delivering with different neonatal outcomes (β=0.86; 95% CI = 0.77–0.97) (Table 7)

Table 7.

Factors Predicting the Cost of Maternal Complication Among Admitted Mothers Attending Public Hospitals in the Harari Region and Dire Dawa City Administration July 1–31, 2022 (n = 425)

Variables	Unadjusted exp.a Coefficient (95% CI)	Adjusted exp.b Coefficient (95% CI)	T	Significance
Residence
Urban	−0.08 (−0.05–0.22)	1.09 (0.95–1.24)	1.24	0.21
Referral
By themselves	− 0.01 (−0.11–0.08)	0.99 (0.90–1.24)	−0.29	0.77
Marital status
Married	− 0.03 (−0.43–0.35)	0.97 (0.65–1.44)	−0.15	0.88
Education status of the mother
No formal education	− 0.09 (−0.21–0.03)	0.92 (0.81–1.03)	−1.44	0.15
Husband education
Primary education	− 0.05 (−0.15–0.06)	0.96 (0.86–1.06)	−0.82	0.41
Husband occupation
Government employee	0.09 (−0.02–0.19)	1.09 (0.98–1.21)	1.62	0.11
Total family size
<5	− 0.06 (−0.20–0.08)	0.94 (0.82–1.09)	−0.81	0.42
Working family members
≤2	− 0.11 (−0.48–0.6)	0.89 (0.62–1.30)	−0.57	0.57
Number of children
<4	0.01 (−0.26–0.28)	1.01 (0.77–1.32)	0.05	0.96
Income
≥3001	0.12 (0.00–0.23)	1.13 (1.00–1.26)	2.02	0.04*
Distance from the Hospital
≤30km	− 0.05 (−0.17–0.07)	0.95 (0.84–1.07)	−0.86	0.39
Method of transportation
Bajaj	− 0.07 (−0.18–0.04)	0.93 (0.83–1.04)	−1.26	0.21
Time it takes to reach hospital
<30min	− 0.32 (−0.45- −0.19)	0.73 (0.64–0.83)	−4.84	< 0.00*
Total admission days
≤4 days	− 0.50 (−0.64- −0.37)	0.60 (0.53–0.69)	−7.45	< 0.00*
Accompanied by relatives other than the husband
Yes	0.66 (0.42–0.89)	1.93 (1.52–2.46)	5.41	< 0.00*
Gravida
Multigravida	− 0.07 (−0.17–0.03)	0.93 (0.85–1.03)	−1.39	0.17
Parity
Multiparity	0.01 (−0.21–0.23)	1.01 (0.81–1.26)	0.08	0.94
Mode of delivery
Cesarean section	0.15 (0.04–0.27)	1.17 (1.04–1.31)	2.67	0.01*
Admission reason
Obstructed labor	− 0.08 (−0.19–0.03)	0.92 (0.82–1.03)	−1.47	0.14
Neonatal outcome
Normal	− 0.15 (−0.26- −0.31)	0.86 (0.77–0.97)	−2.50	0.01*

Note: *Statistically significant at (p < 0.05).

Discussion

The Ethiopian government is implementing a free service delivery strategy for mothers giving birth at public health institutions. However, the services are not entirely free of charge. Mothers and households are paying out-of-pocket payments, which leads mothers and households to face economic challenges. This study aimed to assess the direct and indirect medical and non-medical costs related with maternal complication, and also identifying predictors of for the cost spent are family income, time it takes to reach hospital, admission days, and mode of delivery, neonatal outcome and caregiver accompanied.

This study reveals that the median total cost of maternal complications was 4250 ETB (81.3 USD; IQR = 2900–5833.3). This result is lower than the study conducted in Southern Ethiopia which reported the median of 95.6 USD,¹³ including in Bangladesh (261 USD for severe complication and 29 USD for less severe complications)¹⁴ and Myanmar (176.8 USD).¹⁵ This difference may be explained by the difference in sample size as sample size increases the total cost, and also the types of complications included in these studies were different that may result in increased cost.

On the other hand, the cost in my study is higher compared to the study conducted in Bale Zone Ethiopia, ie, 877.5 ETB (32.03USD),⁷ Ghana (32.03 USD),¹⁶ and Nigeria (ranging from 9 to 99 USD).¹⁷ This difference may be due to the recent inflation creating changes in the cost of medications, food, drinking and other related expenses applied to treat these mothers including other services the mothers and caretakers use while they were staying in the hospital. Moreover, the differences in socioeconomic status between and within the countries may contribute to this difference in cost.

In this study, the median direct non-medical cost 1560 (29.8 USD) is higher than the direct medical 1300 ETB (24.9 USD) and indirect medical costs 800 ETB (15.3 USD). This is in line with studies done in Ghana,¹⁶ Bangladesh¹⁴ and rural Tanzania;¹⁸ where the cost of food, drinking and transportation was higher than the direct medical cost. This implies that the medical costs covered by the health system are not exempting mothers of costs associated with maternal health services.

My study result of direct non-medical cost is higher than studies done in Southern Ethiopia (6.5 US),¹³ Bale Ethiopia (282 0.5 USD),⁷ Mekelle Ethiopia (609 USD)⁸ and Ghana (23.35 USD).¹⁶ This may be due to the current global market instability because of war and conflicts in Ethiopia and around the world. It affects the cost of food and other supplies, including the covid-19 post pandemic inflation leading to higher price for food and other commodities.

Looking at the median direct medical cost, the median direct medical cost is 1300 ETB (24.9 USD) in this study, which is lower than a study conducted in Mekelle Ethiopia (3480 ETB)⁸ and Southern Ethiopia (89.1 USD).¹³ On the other hand, it is higher than studies conducted in Ghana (8.68 USD)¹⁶ and Bale Ethiopia (295 ETB) (10.80 USD).⁷ This shows that there are still some medical costs that are associated with maternal health services delivery covered by out-of-pocket expenditure.

The median indirect cost incurred in this study is 800 ETB (15.3 USD). This cost is lower than the study done in Ethiopia Mekelle (1031 ETB),⁸ while it is higher than the study conducted in Ethiopia Bale (1291 ETB; 47.11 USD)⁷ and Ghana (5.2 USD).¹⁶ This result implies that the indirect costs that are associated with attending maternal health services are substantially high, and households are being affected by the hidden type of expenditure besides the direct medical and non-medical expenditures.

The median cost of mothers who delivered with the cesarean section (4485 ETB (85.80 USD)) is higher than the cost of other modes of delivery (SVD, assisted delivery). This finding is in line with studies done in Ethiopia Balle⁷ and Nepal.¹⁹ This could be explained by the fact that cesarean section admission is longer and it needs different type of care, which could be costly.

In this study, the cost of APH is 5470 ETB (104.7 USD) and 5248.7 ETB (100.4 USD) for sepsis, which is higher than the cost of other type of complications. On the contrary, the cost of treating preeclampsia was 483.46 USD and abortion was 921 0.74 USD in Myanmar. This difference may be due to the difference in health-care system between the countries, and the cost that is spent to give service for mothers coming with APH and sepsis may differ as their treatment plan includes longer period of admission and a wide range of antibiotics may be needed.

In this study, the cost of maternal complication is predicted by monthly family income (β=1.13; 95% CI = 1.00–1.26). This finding is in line with the studies conducted in Nepal,¹⁹ Mekelle Ethiopia,⁸ and India.²⁰ This shows that as income increases the ability to buy different commodities also increases, which in turn increases the extra cost person spends.

The time to reach the hospital (β=0.73; 95% CI = 0.64–0.82) and total admission days (β=0.60; 95% CI = 0.53–0.69) are also other predictors. This is in line with studies done in Nepal,¹⁹ Mekelle Ethiopia,⁸ Bangladesh¹⁴ and Bale Ethiopia⁷ and India.²⁰ This could reflect that as distance from institution increases, the cost to travel also increases, including the length of stay, which may increase the money spent on different services increases.

In addition, mode of delivery (β=1.17; 95% CI = 1.04–1.31) and caregivers accompanied the mothers besides their husbands (β=1.93; 95% CI = 1.52–2.46) predict the cost of maternal complication positively. This result corresponds with studies done in Nepal¹⁹ and Ethiopia Bale.⁷ It may show that mothers giving birth through caesarian section have longer time of recovery and higher expense than those delivering through SVD. Also, as the number of people who came as caregivers increases, the cost they incur for different non medical services increases which directly increases the cost that is spent during admission time than those mothers who only have their husbands as their caretaker. On the other hand, giving birth to a normal baby (β=0.86; 95% CI = 0.77–0.97) negatively predict the cost of maternal complication. This could be related to the fact that women giving birth to a normal baby may be discharged earlier than those with neonates with different complications, which leads to decreased expenses in their admission time.

This study has limitation in measuring productivity loss, as the monthly/daily income of the mothers and caretakers is hard to measure especially for women who are house wives. Also, there may be bias of over or under estimation of cost paid for the service they get, to tackle this drugs materials bought were asked, listed and the cost was estimated by the data collectors and supervisors using that periods price of medical equipments accordingly.

Conclusion

The result of this study indicates that the cost of maternal complication in mothers admitted within the study area was high. The factors that predicted cost of maternal complication among mothers admitted were family income, time it takes to reach hospital, admission days, mode of delivery, neonatal outcome and caregiver accompanied the mother. The general conclusion of this study is that, despite official claims to the contrary, women and households are paying more for maternity care. Even the direct medical costs are greater, indicating that they are buying medications and other medical supplies from private pharmacies.

Funding Statement

Haramaya University supported this work. The funders had no role in study design, data collection, and analysis, interpretation of data, the decision to publish, or preparation of the manuscript.

Abbreviations

ANC, Antenatal Care; APH, Antepartum Hemorrhage; BSC, Balanced Score Card; CSA, Central Statistical Agency; DMC, Direct Medical Cost; DNMC, Direct non-medical cost; EDHS, Ethiopian Demographic Health Survey; EPHI, Ethiopian Public Health Institute; ETB, Ethiopian Birr; FCA, Friction Cost Approach; IC, Indirect cost; IQR, Interquartile Range; HCA, Human Capital Approach; HFSUH, Hiwot Fana Specialized University Hospital; HLoS, Hospital Length of Stay; MMR, Maternal Mortality Ratio; MOH-E, Ministry of Health – Ethiopia; MPH, Masters of Public Health; NHA, National Health Accounts; OOP, Out of Pocket; PI, Principal Investigator; PIH, Pregnancy Induced Hypertension; PPH, Post-Partum Hemorrhage; PROM, Premature rupture of member; SD, standard deviation; SDG, Sustainable Development Goals; SGS, School of Graduate Studies; SVD, Spontaneous Vaginal Delivery; USD, United States dollar; WHO, World Health Organization.

Data Sharing Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics Statement

Ethical clearance was obtained from the Institutional Health Research Ethics Review Committee of Haramaya University College of Health and Medical science (HU, IHRERC), with reference number of IHRERC/120/2022, which was in line with Helsinki's declaration. Additionally, permission was obtained from the Dire Dawa City Administration and Harari regional state health beuro. Informed, Written, Voluntary and Signed consent was obtained from each respondent and for those participants below 18 years their husbands/parents/legal guardians gave consent before the interview after informing the respondents. Signed consent forms were stored in a lockable board. Confidentiality of the information collected was maintained by keeping the anonymity of the individual participants at all levels.

Author Contributions

All authors agreed to be held accountable for all aspects of the work and agreed to make a significant contribution to the work reported, study design, execution, acquisition of data, analysis, and interpretation, or in all these areas. All authors also participated in the article’s drafting, revision, or critical review and gave final approval of the version to be published. All authors also agreed on the journal to which the article was submitted.

Disclosure

The authors report no conflicts of interest in this work.