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Bulletin of the World Health Organization logoLink to Bulletin of the World Health Organization
. 2013 Jan 17;91(3):207–216. doi: 10.2471/BLT.12.108969

Emergency obstetric care in Mali: catastrophic spending and its impoverishing effects on households

Soins obstétricaux d'urgence au Mali: les dépenses catastrophiques et leurs effets appauvrissants sur les ménages

Atención obstétrica de urgencia en Malí: gastos catastróficos y sus efectos empobrecedores en los hogares

الرعاية التوليدية الطارئة في مالي: الإنفاق الباهظ وتأثيراته المفقرة على الأسر

马里产科急症护理:灾难性支出及其对家庭因病致贫的影响

Неотложная акушерская помощь в Мали: чрезывычайно высокие затраты и разорительные последствия для семей

Catherine Arsenault a,, Pierre Fournier a, Aline Philibert a, Koman Sissoko b, Aliou Coulibaly a, Caroline Tourigny a, Mamadou Traoré c, Alexandre Dumont d
PMCID: PMC3590618  PMID: 23476093

Abstract

Objective

To investigate the frequency of catastrophic expenditures for emergency obstetric care, explore its risk factors, and assess the effect of these expenditures on households in the Kayes region, Mali.

Methods

Data on 484 obstetric emergencies (242 deaths and 242 near-misses) were collected in 2008–2011. Catastrophic expenditure for emergency obstetric care was assessed at different thresholds and its associated factors were explored through logistic regression. A survey was subsequently administered in a nested sample of 56 households to determine how the catastrophic expenditure had affected them.

Findings

Despite the fee exemption policy for Caesareans and the maternity referral-system, designed to reduce the financial burden of emergency obstetric care, average expenses were 152 United States dollars (equivalent to 71 535 Communauté Financière Africaine francs) and 20.7 to 53.5% of households incurred catastrophic expenditures. High expenditure for emergency obstetric care forced 44.6% of the households to reduce their food consumption and 23.2% were still indebted 10 months to two and a half years later. Living in remote rural areas was associated with the risk of catastrophic spending, which shows the referral system’s inability to eliminate financial obstacles for remote households. Women who underwent Caesareans continued to incur catastrophic expenses, especially when prescribed drugs not included in the government-provided Caesarean kits.

Conclusion

The poor accessibility and affordability of emergency obstetric care has consequences beyond maternal deaths. Providing drugs free of charge and moving to a more sustainable, nationally-funded referral system would reduce catastrophic expenses for households during obstetric emergencies.

Introduction

Most efforts designed to reduce inequities in maternal health in low-income countries have been focused primarily on averting maternal deaths. However, in countries with poorly functioning health systems, severe obstetric complications can lead to other adverse outcomes. The following outcomes can be associated with poor access to obstetric services: maternal death, neonatal death, mental or physical sequelae among surviving women, and financial hardship. This last outcome, which results from the catastrophic expenditures sometimes associated with emergency obstetric care, has not been as frequently explored as the others.

Any health expenditure that threatens a household’s ability to meet its subsistence needs is termed “catastrophic”.1 Emergency obstetric care, far more costly than normal delivery, can generate catastrophic expenses capable of pushing certain households below the poverty line or of plunging them deeper into poverty.26 Several studies have explored the frequency of catastrophic health payments in sub-Saharan Africa,1,710 but few of them have focused on catastrophic expenditure resulting from emergency obstetric care5,6 and none has examined the factors that contribute to such expenditure. In addition, the ways in which households cope with these costs and their effects on their welfare have seldom been explored. Little public health research has been devoted to examining the social and economic consequences of obstetric complications,5,11,12 despite evidence from one study that the high cost of emergency obstetric care can strain a household’s survival capacity from day to day and shape its physical, social and economic well-being for as long as one year.5 The coping strategies used by households – e.g. using savings, selling assets or borrowing money – can provide important insights into how catastrophic expenditure can affect a household’s future welfare.13,14

Mali is a low-income country with an annual income of 600 United States dollars (US$) per capita in 2010 and a population of 15.3 million, 51% of which lives below the international poverty line of US$ 1.25 per day per capita.15 The study took place in Mali’s western region of Kayes, which has 120 760 km2 and seven districts with a combined population of 1.9 million. Because Mali has one of the highest maternal mortality ratios in the world,15 two policies have been put into place to improve access to emergency obstetric care. The first policy, a national maternity referral system launched in 2002, consists of community cost-sharing schemes to help women pay for transportation to obstetric health centres.16 The second policy, in effect since 2005, is the elimination of user fees for Caesarean sections. The fee exemption policy is applied to the direct costs of the Caesarean procedure, including pre-operative examinations, provision of a Caesarean kit (drugs and surgical supplies), surgery, post-operative treatment, hospitalization and laboratory tests.17

This study has two objectives. The first is to investigate the frequency of catastrophic expenditure generated by emergency obstetric care and the risk factors associated with such expenditure. The second is to identify the coping strategies that households use to obtain the money needed to pay for the emergency obstetric care and how these strategies affect their well-being.

Methods

Data

Our study was conducted on a main sample of 484 women – 242 maternal deaths and 242 near-misses – and on a nested subsample of 56 women who had had a near miss. The first data collection took place in the context of an ongoing case–control study on the impact of three types of delay on institutional maternal mortality in the Kayes region from February 2008 to June 2011. The delays in question were: (i) delay in deciding to seek care; (ii) delay in reaching a health facility and (iii) delay in being provided with appropriate care. The cases selected were restricted to four obstetric complications – haemorrhage, eclampsia, postpartum infection and uterine rupture – but accounted for 79.8% of all institutional maternal deaths in the region during the study period. Each maternal death was matched to a near miss with the same complication that had occurred in the same district and on approximately the same date (median difference of 7 days). We applied a social autopsy interview method18,19 and conducted social autopsies on the sample of 484 women a median of 5.5 months after the obstetric emergency. During interviews we collected obstetric data and information on women’s sociodemographic characteristics and the expenses incurred by their households as a result of the emergency obstetric care, including the costs of transportation and treatment and other related costs, such as the cost of food for the woman and accompanying family members.

We conducted a second survey in a subsample of 56 households with near-misses a median of 19 months after the obstetric emergency. We purposively selected households from any socioeconomic group whose expenditure for emergency obstetric care had exceeded the total sample median of US$ 119.2 (exchange rate: 472 Communauté Financière Africaine francs [FCFA] to US$ 1.00). Our aim was to study the coping strategies employed by the households and how households across different socioeconomic groups coped with similarly high expenditures. We selected only households with near-misses because in households with a maternal death we would have observed, in addition to the expenditure, the social and economic consequences of the loss of the mother. We also decided against interviewing grieving families a second time. Owing to security concerns in the region, some households had to be dropped and replaced by others during data collection. Consequently, the final subsample included two households that had spent slightly less than the median, as well as a slightly higher proportion of households in the highest quintiles than the total sample. The semi-structured interviews, conducted with the household heads, took place in November 2010 (n = 16) and from October to December 2011 (n = 40). The same local interviewer was present throughout the data collection process.

Statistical analysis

Households’ socioeconomic status was estimated with a wealth index constructed using principal component analysis, as done in other studies.4,7,2022 The principal component analysis was based on ownership of certain household assets and on the quality of the house's construction materials. The wealth index was then divided into quintiles. Health expenses are often termed “catastrophic” if they surpass a certain threshold percentage of income. However, there is no consensus on the threshold that should be used. In previous studies, it has varied from 2.5% to 25% of total household income/expenditure23,24 or 40% of capacity to pay.25 Some experts have also noted that using only one threshold could result in misinterpretation of important factors.1 We therefore chose the commonly used 10% threshold26,27 and added two others at ± 5%. This functions as a sensitivity analysis. Catastrophic spending was thus assessed at three thresholds, above which the health expenditure was considered catastrophic: 5%, 10% and 15% of quintile-specific household income. Since monetary income and consumption expenditures were not directly measured in our study, instead we used the average income of the corresponding quintile, adjusted for household size. We obtained the average quintile-specific income from a study conducted in the Kayes region in 2008.28 Eleven covariates of interest were consecutively tested using simple logistic regressions with catastrophic spending as the outcome. The wealth quintile variable was not included, since it was part of the calculation of the outcome variable. The variables that showed a significant relationship with catastrophic spending (P <  0.10) were then tested simultaneously in the three logistic regression models. In the final models, odds ratios (ORs) were considered statistically significant when P <  0.05. Data were entered and analysed using SPSS statistical software version 19.0 (SPSS Inc., Chicago, United States of America).

Ethics approval

This research was approved by the ethics committees of the Research Centre of the University of Montreal Hospital (Canada) and the Faculty of Medicine, Pharmacy and Odonto-Stomatology of the University of Bamako (Mali).

Results

The average expenditure for emergency obstetric care was US$ 151.6. This amount represented 1.9% and 26.6% of the annual incomes of the richest and poorest quintile, respectively. No significant difference was found between wealth quintiles in the amount spent for emergency obstetric care. As shown in Table 1, a large proportion of households incurred catastrophic expenditures. We found that 20.7%, 33.5% and 53.5% of the households incurred catastrophic expenditures greater than 15%, 10% and 5% of their annual income, respectively.

Table 1. Number and proportion of households that incurred catastrophic expenditure, as defined by three income thresholds, per household wealth quintile, Kayes, Mali, 2008–2011.

Wealth quintile No. Average EmOC expenditure (US$)a Average household incomeb (US$) No. (%) of households by income thresholdc
5% (n = 259) 10% (n = 162) 15% (n = 100)
1d 97 130.9 570.4 28.5 (89.7) 57.0 (76.3) 85.6 (58.8)
2 100 155.7 1301.2 65.1 (75.0) 130.1 (51.0) 195.2 (29.0)
3 99 169.8 2284.9 114.2 (52.5) 228.5 (23.2) 342.7 (13.1)
4 115 131.1 2957.6 147.9 (33.0) 295.8 (12.2) 443.6 (0.9)
5 73 181.0 7946.5 397.3 (9.6) 794.7 (0.0) 1192.0 (0.0)
Total 484 151.6 2864.6 143.2 (53.5) 286.5 (33.5) 429.7 (20.7)

EmOC, emergency obstetric care; US$, United States dollar.

a Exchange rate US$ 1 = 472 Communauté Financière Africaine francs.

b Adjusted for household size.

c Any expenditure above the threshold was considered catastrophic. Since monetary income and consumption expenditures were not directly measured in the study, the average income of the corresponding quintile, adjusted for household size, was used instead. Each quintile’s average income was obtained from a study conducted in Kayes in 2008.28

d Poorest.

Table 2 shows the amount spent by households on emergency obstetric care and the sociodemographic characteristics and obstetric data pertaining to the women who incurred catastrophic expenditure. The proportion spent on treatment, transportation and other items was roughly the same, independent of catastrophic threshold, with treatment accounting for the largest share.

Table 2. Characteristics of women who incurred catastrophic expenditure, as defined by three income thresholds, resulting from emergency obstetric care and mean expenditure, Kayes, Mali, 2008–2011.

Characteristic No. (%) of women by income thresholda
5% (n = 259) 10% (n = 162) 15% (n = 100)
EmOC expenses (US$),b mean (range)
Treatment 138.90 (0–754.20) 150.20 (0–646.20) 167.10 (0–646.20)
Transportation 38.00 (0–328.40) 43.30 (0–158.90) 48.20 (0–158.90)
Other 25.30 (0–227.80) 27.00 (0–227.80) 30.90 (0–227.80)
Total
216.40 (29.70–794.50)
241.20 (57.2–794.50)
268.40 (85.80–794.50)
Sociodemographic
Wealth quintile
1c 87 (33.6) 74 (45.7) 57 (57.0)
2 75 (29.0) 51 (31.5) 29 (29.0)
3 52 (20.1) 23 (14.2) 13 (13.0)
4 38 (14.7) 14 (8.6) 1 (1.0)
5 7 (2.7) 0 (0.0) 0 (0.0)
Residence
Urban 19 (7.3) 6 (3.7) 3 (3.0)
Rural 240 (92.7) 156 (96.3) 97 (97.0)
District of residence
Yélimané 22 (8.5) 12 (7.4) 7 (7.0)
Kita 55 (21.2) 30 (18.5) 17 (17.0)
Kayes 78 (30.1) 49 (30.2) 33 (33.0)
Bafoulabé 21 (8.1) 12 (7.4) 7 (7.0)
Diéma 26 (10.0) 18 (11.1) 9 (9.0)
Nioro 57 (22.0) 41 (25.3) 27 (27.0)
Distance to closest comprehensive EmOC centre (km)
≤ 5 50 (19.3) 28 (17.3) 14 (14.0)
5–20 44 (17.0) 31 (19.1) 16 (16.0)
20–40 43 (16.6) 17 (10.5) 10 (10.0)
> 40 122 (47.1) 86 (53.1) 60 (60.0)
Age (years)
≤ 16 51 (19.7) 34 (21.0) 24 (24.0)
17–34 166 (64.1) 102 (63.0) 61 (61.0)
≥ 35 42 (16.2) 26 (16.0) 15 (15.0)
Education
At least primary 36 (13.9) 14 (8.6) 8 (8.0)
None 223 (86.1) 148 (91.4) 92 (92.0)
Ethnic group
Sarakole 60 (23.2) 31 (19.1) 14 (14.0)
Bambara 28 (10.8) 17 (10.5) 7 (7.0)
Fulani 88 (34.0) 66 (40.7) 47 (47.0)
Malinke 48 (18.5) 28 (17.3) 17 (17.0)
Other
35 (13.5)
20 (12.3)
15 (15.0)
Obstetric
Maternal outcome
Death 114 (44.0) 75 (46.3) 47 (47.0)
Near miss 145 (56.0) 87 (53.7) 53 (53.0)
Diagnosis
Haemorrhage 110 (42.5) 59 (36.4) 32 (32.0)
Eclampsia 98 (37.8) 65 (40.1) 43 (43.0)
Uterine rupture 18 (6.9) 12 (7.4) 6 (6.0)
Postpartum infection 33 (12.7) 26 (16.0) 19 (19.0)
Caesarean section
Yes 103 (39.8) 65 (40.1) 43 (43.0)
No 156 (60.2) 97 (59.9) 57 (57.0)
Blood transfusion
Yes 74 (28.6) 47 (29.0) 26 (26.0)
No 185 (71.4) 115 (71.0) 74 (74.0)
Parity, mean (range) 3.6 (0–13) 3.6 (0–13) 3.4 (0–13)

EmOC, emergency obstetric care; US$, United States dollar.

a Any expenditure above the threshold was considered catastrophic. Since monetary income and consumption expenditures were not directly measured in the study, the average income of the corresponding quintile, adjusted for household size, was used instead. Each quintile’s average income was obtained from a study conducted in Kayes in 2008.28

b Exchange rate US$ 1 = 472 Communauté Financière Africaine francs.

c Poorest.

Note: All values in the table are absolute numbers followed by percentages (in parentheses) unless otherwise indicated.

Table 3 shows the results of the logistic regressions. The variables Caesarean section and parity were not included in the final models since they showed no significant independent association with catastrophic expenditures at any of the three expenditure thresholds. Overall, the estimates of the variables whose association with catastrophic expenditure was significant do not vary much between the three models. This shows that they are relatively insensitive to the threshold of catastrophic expenditure used.

Table 3. Odds of catastrophic expenditure, as defined by three income thresholds, resulting from emergency obstetric care, by maternal characteristic, Kayes, Mali, 2008–2011 .

Characteristic OR (95% CI) by income thresholda
5% (n = 259) 10% (n = 162) 15% (n = 100)
Residence
Urban 1 1 1
Rural 3.94 (1.80–8.62) 7.14 (2.51–20.41) 5.38 (1.34–21.74)
Distance to closest comprehensive EmOC centre (km)
≤ 5 1 1 1
5–20 1.18 (0.53–2.63) 1.02 (0.43–2.41) 0.92 (0.33–2.57)
20–40 1.85 (0.84–4.12) 0.49 (0.20–1.18) 0.84 (0.29–2.46)
> 40 4.56 (2.18–9.55) 2.54 (1.22–5.30) 3.97 (1.63–9.69)
District of residence
Yélimané 1 1 1
Kita 2.25 (0.83–6.14) 1.73 (0.58–5.13) 1.15 (0.32–4.10)
Kayes 2.94 (1.24–6.99) 2.67 (1.04–6.89) 3.04 (1.00–9.21)
Bafoulabé 1.95 (0.62–6.11) 1.56 (0.46–5.36) 0.89 (0.21–3.86)
Diéma 0.97 (0.37–2.53) 1.89 (0.66–5.40) 1.35 (0.38–4.80)
Nioro 3.69 (1.55–8.76) 3.92 (1.57–9.79) 3.34 (1.14–9.78)
Age category (years)
17–34 1 1 1
≤ 16 1.93 (0.95–3.93) 1.14 (0.58–2.22) 1.22 (0.60–2.50)
≥ 35 1.64 (0.86–3.14) 1.44 (0.74–2.80) 1.50 (0.70–3.19)
Education
At least primary 1 1 1
None 3.40 (1.92–5.99) 4.41 (2.18–8.93) 3.29 (1.38–7.87)
Ethnic group
Sarakole 1 1 1
Bambara 2.17 (1.00–4.68) 3.18 (1.34–7.55) 2.62 (0.87–7.91)
Malinke 1.97 (0.83–4.65) 2.27 (0.90–5.72) 3.05 (1.03–9.05)
Fulani 3.32 (1.72–6.38) 4.72 (2.44–9.12) 6.24 (2.90–13.40)
Other 1.01 (0.49–2.09) 1.30 (0.59–2.88) 2.57 (1.02–6.47)
Maternal outcome
Death 1 1 1
Near-miss 2.82 (1.77–4.51) 1.81 (1.13–2.92) 1.66 (0.97–2.84)
Diagnosis
Haemorrhage 1 1 1
Eclampsia 2.05 (1.17–3.61) 2.63 (1.44–4.83) 2.45 (1.24–4.85)
Uterine rupture 1.18 (0.45–3.06) 1.51 (0.57–4.03) 1.25 (0.40–3.92)
Postpartum infection 2.90 (1.29–6.51) 5.64 (2.51–12.65) 6.40 (2.69–15.20)
Blood transfusion
No 1 1 1
Yes 3.09 (1.68–5.68) 2.78 (1.47–5.25) 1.59 (0.78–3.24)

CI, confidence interval; OR, odds ratio.

a Any expenditure above the threshold was considered catastrophic. Since monetary income and consumption expenditures were not directly measured in the study, the average income of the corresponding quintile, adjusted for household size, was used instead. Each quintile’s average income was obtained from a study conducted in Kayes in 2008.28

The wealth quintile distribution of the households in the subsample and the average expenditure on emergency obstetric care corresponding to each quintile are presented and compared with those of the overall sample (Table 4). Most households used a combination of strategies to obtain the money needed to pay for the emergency care. This resulted in multiple responses per household (Table 5).

Table 4. Distribution and average expenditure of households in the sample and a subsample, per wealth quintile, Kayes, Mali, 2008–2011.

Quintile No. (%) in total sample (n = 484) No. (%) in subsamplea (n = 56) EmOC expenditure (US$)b
Total sample (n = 484)
Subsamplea (n = 56)
Average Range Average Range
1c 97 (20.0) 10 (17.9) 130.90 0–487.30 255.80 125.00–487.30
2 100 (20.7) 8 (14.3) 155.70 6.40–575.20 252.80 178.00–353.80
3 99 (20.5) 13 (23.2) 169.80 0–794.50 371.40 103.80–675.80
4 115 (23.8) 17 (30.4) 131.10 0–617.60 282.10 141.90–617.60
5 73 (15.1) 8 (14.3) 181.00 0–794.50 283.00 122.90–762.70
Total 484 (100) 56 (100) 151.60 0–794.50 294.10 103.80–762.70

EmOC, emergency obstetric care; US$, United States dollar.

a Nested subsample of 56 women who had had a near miss.

b Exchange rate US$ 1 = 472 Communauté Financière Africaine francs.

c Poorest.

Table 5. Coping strategies employed in the face of catastrophic expenditure resulting from emergency obstetric care, Kayes, Mali, 2008–2011.

Strategya No. (%) (n = 56)
Borrowing 31 (55.4)
Selling assetsb 24 (42.9)
Use of savings or regular earnings 17 (30.4)
Transfers from abroad 17 (30.4)
Help from the local social network 12 (21.4)

a Multiple answers per household.

b Animals (livestock), agricultural product (crops), a motorcycle, a bicycle and car parts.

The major consequences faced by households with high expenses in emergency obstetric care are summarized in Table 6. The case stories of three women with serious consequences are presented in Box 1.

Table 6. Effect of catastrophic expenditure resulting from emergency obstetric care on household well-being, per household wealth quintile, Kayes, Mali, 2008–2011.

Consequence No. (%) by wealth quintile
1a (n = 10) 2 (n = 8) 3 (n = 13) 4 (n = 17) 5 (n = 8) All (n = 56)
None 1 1 4 7 7 20 (35.7)
Immediateb 9 7 9 10 1 36 (64.3)
Food consumption reduced 6 7 5 6 1 25 (44.6)
Agricultural productivity reduced 2 1 4 1 1 9 (16.1)
Loss of income 0 1 2 2 0 5 (8.9)
Forced migration 1 2 0 2 0 5 (8.9)
Children removed from school 0 0 3 2 0 5 (8.9)
At interviewb (10–30 months after complication)
Still in debt 6 2 3 2 0 13 (23.2)
Lack of food 5 5 4 3 1 18 (32.1)

a Poorest.

b Multiple answers per household.

Box 1. Examples of the consequences on a household (in wealth quintile 3 or 4) of a near-miss complication leading to catastrophic expenditure.

Case 1 (quintile 3)

The 18-year-old woman was evacuated to the regional hospital when she developed eclampsia in her ninth month of pregnancy. She incurred expenses of US$ 403, which her husband paid using his savings and money sent by his brothers working in France. The woman recovered and was discharged after giving birth to healthy twins. Seven months later, she was found dead in her bed one morning.a After her death, her husband had to purchase formula to feed the twins but reports that its high cost made it difficult. He requested financial help from the municipality but did not receive any. One of the twins fell ill and died at 10 months. The eldest son, who was in third grade, was taken out of school to save money. This year the drought ruined the harvest. The husband, however, manages to buy enough food with the money sent by his brothers in France. The other twin is 18 months old and has started eating solid foods.

Case 2 (quintile 3)

The 37-year-old woman, who was in her eleventh pregnancy, was evacuated to the district health centre because of prolonged labour. The doctor diagnosed uterine rupture, performed a Caesarean and delivered a stillborn. Over the course of the following week, the woman received four different antibiotics and four blood transfusions. She had developed a vesico-vaginal fistula and kept losing blood. She was then referred to the national hospital in Bamako, where she underwent full hysterectomy and two interventions to repair the fistula. To be driven to the capital by ambulance, the husband was asked for US$ 159 for gas. He refused and a relative who was in the military drove them. Treatment expenses amounted to US$ 208 at the district level and US$ 307 in Bamako. To pay for this, the husband sold a bull and borrowed money that he later repaid by selling a bicycle, a motorcycle, a cart and four goats. His field’s yield was affected by his absence and only his brother could till the field. A year and a half later, he still owes money and reports that the family has not been eating enough since the incident. He was also unable to send all his children to school and could not pay the taxes.

Case 3 (quintile 4)

The husband, a taxi driver, took his wife to the community health centre, where she gave birth to twins. The following day the woman had seizures and was evacuated to the district health centre, where she was treated for eclampsia. The ambulance driver demanded being paid for gas (US$ 39) before the trip. This depleted the husband’s savings. To cover treatment costs, he borrowed US$ 212 from shop owners. The twins died within a few days. The woman survived but had to continue taking expensive medicine. The following month, the creditors began requesting payment. The husband’s taxi had broken down in recent weeks. Rather than repairing it, he sold the parts to start repaying the debt and to feed his family, hence losing his only source of income. Sixteen months later, the husband reported that the family was eating half as much as before. He manages to purchase food with money donated by friends but is completely ruined. He still owes US$ 64.

a This woman was in our near-miss sample. We learned about her death (cause unknown) when we returned to the household for the second interview.

When the second survey was conducted, 8 (14.3%) women were still having health problems as a result of the obstetric complication. Three of them could not seek care because they had no money. Two other households reported that the woman who survived was still being treated and that they were facing serious financial difficulties because of the ongoing expenses. In another household, the woman had died in her sleep 7 months after the near-miss event (case 1, Box 1). Although the cause of her death is unknown, this case serves to illustrate that a woman being alive 42 days after a near-miss event is not a guarantee that a maternal death has been averted.29

Discussion

Our findings show that even though Mali has a national maternity referral system and has eliminated user fees for Caesarean sections in an effort to reduce the economic burden of emergency obstetric care, households still bear high costs when seeking such care and many incur catastrophic expenditures. An important finding is that between 19.4 and 47.1% of the households in which a woman died from obstetric complications also incurred catastrophic expenditures. These households faced the double burden of having to cope with the death of the mother and with the impoverishing effect of the expenses associated with emergency obstetric care.

Our results also showed an association between the type of obstetric complication and the risk of catastrophic spending. Of the four obstetric complications considered, eclampsia (OR: 2.63; 95% CI: 1.44–4.83) and postpartum infection (OR: 5.64; 95% CI: 2.51–12.65) were associated with higher odds of catastrophic spending, perhaps because both conditions require long and costly drug therapy. The cost of treatment represented the largest component of the total expenditures associated with emergency obstetric care. Since the mean cost of treatment did not differ significantly between women who had a Caesarean section (US$ 107.00) and those who did not (US$ 93.40), we can conclude that the fee exemption for Caesarean sections does not protect households from catastrophic expenditures. One of the reasons was that women were often handed prescriptions for drugs that are not included in the Caesarean kits provided by the government and paid for the drugs out of pocket, as in case 2 in Box 1. Although the kit only contains amoxicillin, women often received other antibiotics after a Caesarean section. Women who were only given one antibiotic spent an average of US$ 80.30; those who received two or more antibiotics spent an average of US$ 165.70 (P ≤ 0.000). There have been recent reports of problems with the delivery of the Caesarean kits supplied by the government, including frequent stock-outs, insufficient quantities of drugs, and products that are either obsolete or expired and not suitable for complicated Caesareans.30,31 According to these reports, the high costs of prescription drugs and transportation are still the main obstacle to access to emergency obstetric care. We also found that women who received blood transfusions had higher odds of incurring catastrophic spending (OR: 2.78; 95% CI: 1.47–5.25), most probably because Mali has a serious shortage of blood for transfusion and people are often unofficially asked to pay for the blood they receive.30,31

Additional factors associated with catastrophic expenditure were having no education, living in a rural area, living 40 km or more from the nearest emergency obstetric care centre or belonging to a Fulani ethnic group. Clearly, the poorest and most remote communities are more likely to face catastrophic expenditures and to be most severely affected by the high out-of-pocket expenditure associated with emergency obstetric care. Despite the maternity referral system, primarily designed to eliminate the financial barriers associated with transportation costs and hence reduce inequity in access, we found that 67% of women still paid for transportation in direct proportion to the distance between their house and the health facility. Thus, the mean transportation cost was US$ 13.1 for women who lived 5 km or less from an emergency obstetric care centre and US$ 59.1 for those who lived 40 km or more from one. In many cases, the ambulance driver refused to transport the women before they paid for the gasoline (cases 2 and 3, Box 1). One reason for the failure of the maternity referral system to reduce transportation expenses is that the system is underfunded. It is dependent on solidarity funds that, according to a national study, have received only 21% of the expected contributions since 2005.32 These contributions come from the local district council, the mayor’s office and local community associations, all of which differ in their willingness and ability to mobilize funds. This results in large disparities in the functioning of the system from one district to another.

Our study revealed that households resort to a multitude of coping strategies to collect all the money needed when faced with high expenditure for emergency obstetric care. For the poorest households, financial assistance from friends or relatives was the most common strategy and sometimes the only one available. The richest households often used money transferred from relatives abroad and in some cases were able to pay for emergency obstetric care without much difficulty. In the Kayes region, these transfers often comprise a big share of the income of the richest households.28 However, the fact that the majority of the households that could afford emergency obstetric care paid with money earned by migrant workers in richer countries is of concern. Overall, the results showed a negative gradient association between wealth quintile and the consequences suffered. Households belonging to a lower wealth quintile suffered more and graver consequences than households in the upper quintiles. However, richer households were also affected and some were even financially ruined by the expenditure on emergency obstetric care (case 3, Box 1). Other studies have also found that no socioeconomic group is protected against catastrophic spending33 and that expenditure for emergency obstetric care can push non-poor households below the poverty line.

This study has limitations. First, since income data were not collected directly in each household, estimates from another study had to be used. Catastrophic expenditures were assessed from these estimates, but because the factors were relatively insensitive to the different thresholds used, we can conclude that our results are reliable. Furthermore, those income estimates were collected in 2008, whereas the expenses were incurred between 2008 and 2011. Despite this, we do not think that major changes in household income have occurred since and therefore doubt that our results were affected. An additional limitation is the relatively small size of our subsample. However, data related to the coping strategies and their effect on household welfare seemed fairly saturated after the accounts of 56 households. Importantly, the coping strategies and catastrophic expenses reported here pertain only to households that spent more than the median amount and are therefore not generalizable to the entire sample. Furthermore, our results are only applicable to women who reach the health system, since households in which the mother died at home and without having had contact with the health system probably spend nothing. However, the maternal deaths sampled represent 75.4% of all institutional maternal deaths and the near-miss women sampled are representative of all the 10 821 near-miss complications recorded throughout the Kayes region during the study period. The large size of our main sample (n = 484) and the longitudinal study design lend strength to our findings. Another strength is that we used both quantitative and qualitative methods. This will satisfy those who claim that excessive health spending and its effects are not exhaustively described when catastrophe alone is considered, and that these are better assessed through longitudinal qualitative studies.10,34 Finally, although our sample is not nationally representative, it was made up of individuals with very diverse sociodemographic characteristics who were selected from various geographic and health-care settings. These results will therefore be applicable to other African regions that lie outside national capitals.

Conclusion

Poor access to emergency obstetric care can not only lead to maternal and neonatal death, but also to long-term disability or illness in women with severe complications and to an increased risk of death as long as 4 years after the event.29 Furthermore, as our study shows, the high expenses associated with emergency obstetric care can lead to serious long-lasting consequences that undermine the well-being of entire households, such as food insecurity, indebtedness and overall impoverishment. The high cost of treatment and the effort expended in coming up with the money hinder access to treatment and can result in delays that could prove fatal for the mother and the neonate.35 Although the policies in place in Mali may have helped to reduce delays in treatment and the expenses borne by households,30,31 they have failed to eliminate the catastrophic expenditures arising from the treatment of obstetric complications.

As currently implemented, the fee exemption for women undergoing a Caesarean is not enough to eliminate the risk of catastrophic expenditure. On the one hand, free Caesarean kits are inadequate for the management of complicated Caesareans; on the other, women who do not deliver by Caesarean are not protected by any policy. Since an important contributor to catastrophic expenditure arising from emergency obstetric care appears to be the cost of the prescription drugs required for treatment, providing the most important of these drugs (i.e. antibiotics, analgesics, anti-hypertensives, anticonvulsants and uterotonics) free of charge could further reduce the expenses borne by households. A maternity referral system funded nationally, rather than by districts, could also be more effective at minimizing financial barriers in a sustainable way. This would be a step towards attaining equity in access to health care and towards reducing the consequences of obstetric complications.

Acknowledgements

The authors thank the women, their families and the health workers involved in this study, as well Camille Schoemaker-Marcotte for her help in the field.

Funding:

This research was supported by the Teasdale-Corti Global Health Research Partnership Program of the Global Health Research Initiative (Canadian Institutes of Health Research, Canadian International Development Agency, Health Canada, International Development Research Center and Public Health Agency of Canada).

Competing interests:

None declared.

References

  • 1.Su TT, Kouyaté B, Flessa S. Catastrophic household expenditure for health care in a low-income society: a study from Nouna District, Burkina Faso. Bull World Health Organ. 2006;84:21–7. doi: 10.2471/BLT.05.023739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Borghi J, Hanson K, Acquah CA, Ekanmian G, Filippi V, Ronsmans C, et al. Costs of near-miss obstetric complications for women and their families in Benin and Ghana. Health Policy Plan. 2003;18:383–90. doi: 10.1093/heapol/czg046. [DOI] [PubMed] [Google Scholar]
  • 3.Kowalewski M, Mujinja P, Jahn A. Can mothers afford maternal health care costs? User costs of maternity services in rural Tanzania. Afr J Reprod Health. 2002;6:65–73. doi: 10.2307/3583147. [DOI] [PubMed] [Google Scholar]
  • 4.Perkins M, Brazier E, Themmen E, Bassane B, Diallo D, Mutunga A, et al. Out-of-pocket costs for facility-based maternity care in three African countries. Health Policy Plan. 2009;24:289–300. doi: 10.1093/heapol/czp013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Storeng KT, Baggaley RF, Ganaba R, Ouattara F, Akoum MS, Filippi V. Paying the price: the cost and consequences of emergency obstetric care in Burkina Faso. Soc Sci Med. 2008;66:545–57. doi: 10.1016/j.socscimed.2007.10.001. [DOI] [PubMed] [Google Scholar]
  • 6.Honda A, Randaoharison PG, Matsui M. Affordability of emergency obstetric and neonatal care at public hospitals in Madagascar. Reprod Health Matters. 2011;19:10–20. doi: 10.1016/S0968-8080(11)37559-3. [DOI] [PubMed] [Google Scholar]
  • 7.Nguyen HT, Rajkotia Y, Wang H. The financial protection effect of Ghana National Health Insurance Scheme: evidence from a study in two rural districts. Int J Equity Health. 2011;10:4. doi: 10.1186/1475-9276-10-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Castillo-Riquelme M, McIntyre D, Barnes K. Household burden of malaria in South Africa and Mozambique: is there a catastrophic impact? Trop Med Int Health. 2008;13:108–22. doi: 10.1111/j.1365-3156.2007.01979.x. [DOI] [PubMed] [Google Scholar]
  • 9.Xu K, Evans DB, Kadama P, Nabyonga J, Ogwal PO, Nabukhonzo P, et al. Understanding the impact of eliminating user fees: utilization and catastrophic health expenditures in Uganda. Soc Sci Med. 2006;62:866–76. doi: 10.1016/j.socscimed.2005.07.004. [DOI] [PubMed] [Google Scholar]
  • 10.Onoka CA, Onwujekwe OE, Hanson K, Uzochukwu BS. Examining catastrophic health expenditures at variable thresholds using household consumption expenditure diaries. Trop Med Int Health. 2011;16:1334–41. doi: 10.1111/j.1365-3156.2011.02836.x. [DOI] [PubMed] [Google Scholar]
  • 11.Storeng KT, Murray SF, Akoum MS, Ouattara F, Filippi V. Beyond body counts: a qualitative study of lives and loss in Burkina Faso after ‘near-miss’ obstetric complications. Soc Sci Med. 2010;71:1749–56. doi: 10.1016/j.socscimed.2010.03.056. [DOI] [PubMed] [Google Scholar]
  • 12.Filippi V, Ganaba R, Baggaley RF, Marshall T, Storeng KT, Sombié I, et al. Health of women after severe obstetric complications in Burkina Faso: a longitudinal study. Lancet. 2007;370:1329–37. doi: 10.1016/S0140-6736(07)61574-8. [DOI] [PubMed] [Google Scholar]
  • 13.Leive A, Xu K. Coping with out-of-pocket health payments: empirical evidence from 15 African countries. Bull World Health Organ. 2008;86:849–56. doi: 10.2471/BLT.07.049403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Flores G, Krishnakumar J, O’Donnell O, van Doorslaer E. Coping with health-care costs: implications for the measurement of catastrophic expenditures and poverty. Health Econ. 2008;17:1393–412. doi: 10.1002/hec.1338. [DOI] [PubMed] [Google Scholar]
  • 15.The State of the World’s Children 2012. New York: United Nations Children’s Fund; 2012. Available at: www.unicef.org/sowc2012/ [accessed 20 December 2012].
  • 16.Fournier P, Dumont A, Tourigny C, Dunkley G, Dramé S. Improved access to comprehensive emergency obstetric care and its effect on institutional maternal mortality in rural Mali. Bull World Health Organ. 2009;87:30–8. doi: 10.2471/BLT.07.047076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ministère de la Santé. Décret n° 05 350 / P-RM du 04 août 2005, Gratuité césarienne. Bamako: MS; 2005. French [Google Scholar]
  • 18.Waiswa P, Kalter HD, Jakob R, Black RE, Social Autopsy Working Group Increased use of social autopsy is needed to improve maternal, neonatal and child health programmes in low-income countries. Bull World Health Organ. 2012;90:403–403A. doi: 10.2471/BLT.12.105718. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Källander K, Kadobera D, Williams TN, Nielsen RT, Yevoo L, Mutebi A, et al. Social autopsy: INDEPTH Network experiences of utility, process, practices, and challenges in investigating causes and contributors to mortality. Popul Health Metr. 2011;9:44. doi: 10.1186/1478-7954-9-44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Filmer D, Pritchett LH. Estimating wealth effects without expenditure data–or tears: an application to educational enrollments in states of India. Demography. 2001;38:115–32. doi: 10.1353/dem.2001.0003. [DOI] [PubMed] [Google Scholar]
  • 21.Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21:459–68. doi: 10.1093/heapol/czl029. [DOI] [PubMed] [Google Scholar]
  • 22.Nwaru BI, Klemetti R, Kun H, Hong W, Yuan S, Wu Z, et al. Maternal socio-economic indices for prenatal care research in rural China. Eur J Public Health. 2012;22:776–81. doi: 10.1093/eurpub/ckr182. [DOI] [PubMed] [Google Scholar]
  • 23.Wagstaff A, van Doorslaer E. Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998. Health Econ. 2003;12:921–34. doi: 10.1002/hec.776. [DOI] [PubMed] [Google Scholar]
  • 24.van Doorslaer E, O’Donnell O, Rannan-Eliya RP, Somanathan A, Adhikari SR, Garg CC, et al. Catastrophic payments for health care in Asia. Health Econ. 2007;16:1159–84. doi: 10.1002/hec.1209. [DOI] [PubMed] [Google Scholar]
  • 25.Xu K, Evans DB, Kawabata K, Zeramdini R, Klavus J, Murray CJ. Household catastrophic health expenditure: a multicountry analysis. Lancet. 2003;362:111–7. doi: 10.1016/S0140-6736(03)13861-5. [DOI] [PubMed] [Google Scholar]
  • 26.Ranson MK. Reduction of catastrophic health care expenditures by a community-based health insurance scheme in Gujarat, India: current experiences and challenges. Bull World Health Organ. 2002;80:613–21. [PMC free article] [PubMed] [Google Scholar]
  • 27.Bonu S, Bhushan I, Rani M, Anderson I. Incidence and correlates of ‘catastrophic’ maternal health care expenditure in India. Health Policy Plan. 2009;24:445–56. doi: 10.1093/heapol/czp032. [DOI] [PubMed] [Google Scholar]
  • 28.Samake A, Belieres J, Corniaux C, Dembele N, Kelly V, Marzin J et al. Changements structurels des économies rurales dans la mondialisation, Programme RuralStruc - Phase II, World Bank. Bamako: The World Bank; 2008. Available from: http://www.worldbank.org/afr/ruralstruc [accessed 20 December 2012].
  • 29.Storeng KT, Drabo S, Ganaba R, Sundby J, Calvert C, Filippi V. Mortality after near-miss obstetric complications in Burkina Faso: medical, social and health-care factors. Bull World Health Organ. 2012;90:418–425B. doi: 10.2471/BLT.11.094011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.El-Khoury M, Gandaho T, Arur A, Keita B, Nichols L, Improving access to life-saving maternal health services: the effects of removing user fees for Caesareans in Mali. Bethesda: Health Systems 20/20 & Abt Associates Inc.; 2011.
  • 31.Touré L, Fofana S, Koné S, Sanogo Y. La mise en œuvre de la politique de gratuité de la césarienne. Étude comparative dans 3 sites d’enquête, L'abolition du paiement des services de santé en Afrique de l'Ouest (Burkina Faso, Mali, Niger). Miseli-Mali October 2012: Bamako. French
  • 32.Balique H. Bilan de la mise en oeuvre de la stratégie de la gratuité de la césarienne 2005-2009. In: Promouvoir l’accouchement en maternité au Mali, Document de travail. Bamako: Direction Nationale de la santé & Ministère de la Santé; 2010. French
  • 33.Quayyum Z, Nadjib M, Ensor T, Sucahya PK. Expenditure on obstetric care and the protective effect of insurance on the poor: lessons from two Indonesian districts. Health Policy Plan. 2010;25:237–47. doi: 10.1093/heapol/czp060. [DOI] [PubMed] [Google Scholar]
  • 34.Barros AJ, Bastos JL, Dâmaso AH. Catastrophic spending on health care in Brazil: private health insurance does not seem to be the solution. Cad Saude Publica. 2011;27:S254–62. doi: 10.1590/S0102-311X2011001400012. [DOI] [PubMed] [Google Scholar]
  • 35.Borghi J, Storeng K, Filippi V. Overview of the costs of obstetric care and the economic and social consequences for households. Stud Health Serv Organ Pol. 2008;24:23–46. [Google Scholar]

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