| Literature DB >> 25874875 |
Marion Ravit1, Aline Philibert, Caroline Tourigny, Mamadou Traore, Aliou Coulibaly, Alexandre Dumont, Pierre Fournier.
Abstract
The fee exemption policy for EmONC in Mali aims to lower the financial barrier to care. The objective of the study was to evaluate the direct and indirect expenses associated with caesarean interventions performed in EmONC and the factors associated with these expenses. Data sampling followed the case control approach used in the large project (deceased and near-miss women). Our sample consisted of a total of 190 women who underwent caesarean interventions. Data were collected from the health workers and with a social approach by administering questionnaires to the persons who accompanied the woman. Household socioeconomic status was assessed using a wealth index constructed with a principal component analysis. The factors significantly associated with expenses were determined using multivariate linear regression analyses. Women in the Kayes region spent on average 77,017 FCFA (163 USD) for a caesarean episode in EmONC, of which 70 % was for treatment. Despite the caesarean fee exemption, 91 % of the women still paid for their treatment. The largest treatment-related direct expenses were for prescriptions, transfusion, antibiotics, and antihypertensive medication. Near-misses, women who presented a hemorrhage or an infection, and/or women living in rural areas spent significantly more than the others. Although abolishing fees of EmONC in Mali plays an important role in reducing maternal death by increasing access to caesarean sections, this paper shows that the fee policy did not benefit to all women. There are still barriers to EmONC access for women of the lowest socio-economic group. These included direct expenses for drugs prescription, treatment and indirect expenses for transport and food.Entities:
Mesh:
Year: 2015 PMID: 25874875 PMCID: PMC4500844 DOI: 10.1007/s10995-015-1687-0
Source DB: PubMed Journal: Matern Child Health J ISSN: 1092-7875
Fig. 1Mean proportion of expenses by residence (n = 190, FCFA*)
Fig. 2Mean proportion of expenses by diagnosis (n = 190, FCFA*)
Characteristics of the two-dimension of the principal component analysis (factorial loading of selected items, eigenvalues, % of variance explained and Cronbach’s alpha values on each dimension are provided), varimax rotation
| List of significants items | Factorial loading of items selected on each dimension | |
|---|---|---|
| Dimension 1 | Dimension 2 | |
| Eigenvalue | Eigenvalue | |
| 3.381 | 1.610 | |
| % of explained variance (37.57 %) | % of explained variance (17.89 %) | |
| Cronbach’s | Cronbach’s | |
| α = 0.78 | α = 0.75 | |
| Owning a motorcycle in the household | 0.663 | |
| Owning a TV in the household | 0.815 | |
| Owning a stereo in the household | 0.775 | |
| Owning a mobile phone in the household | 0.681 | |
| Manufacturing equipment from the floor of the house | 0.783 | |
| Manufacturing equipment from the roof of the house | 0.729 | |
| Owning cattle for commerce in the household | 0.896 | |
| Owning cattle for consumption in the household | 0.875 | |
Factors associated with the expenses of women who had caesareans in Kayes region
| Total expenses | Treatment expenses | Transportation expenses | Other expenses | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Beta ± standard error | Std betaa |
| Beta ± standard error | Std beta |
| Beta ± standard error | Std beta |
| Beta ± standard error | Std beta |
| |
| Outcome of the episode | ||||||||||||
|
| ||||||||||||
| Near-misses | 27,788 ± 4,292 | 0.405 | 0.000** | 19,028 ± 3,774 | 0.339 | 0.000** | – | – | – | 8,763 ± 1,079 | 0.485 | 0.000** |
| Diagnosis | ||||||||||||
|
| ||||||||||||
| Eclampsia | 3,790 ± 7,171 | 0.037 | 0.598 | −712 ± 6,438 | −0.008 | 0.912 | 1,187 ± 1,578 | 0.055 | 0.453 | 2,523 ± 1,810 | 0.094 | 0.165 |
| Hemorrhage | −12,245 ± 7,303 | −0.123 | 0.095 | −6,118 ± 6,450 | −0.075 | 0.344 | −425 ± 1,601 | −0.020 | 0.791 | −5,590 ± 1,829 | −0.213 | 0.003** |
| Postpartum infection | 43,905 ± 11,517 | 0.299 | 0.000** | 29,029 ± 10,396 | 0.242 | 0.006** | 5,567 ± 2,536 | 0.179 | 0.029* | 7,778 ± 2,910 | 0.201 | 0.008** |
| Residence | ||||||||||||
|
| ||||||||||||
| Rural | 14,720 ± 5,740 | 0.178 | 0.011* | 9,227 ± 4,721 | 0.137 | 0.052 | 3,914 ± 1,225 | 0.223 | 0.002** | 5,413 ± 1,398 | 0.249 | 0.000** |
| Wealth index (terciles) | ||||||||||||
|
| ||||||||||||
| Poorest tercile | −15027 ± 6677 | −0.179 | 0.026* | – | – | – | – | – | – | −3,929 ± 1,621 | −0.179 | 0.016* |
| Intermediate tercile | 17,652 ± 6,013 | 0.207 | 0.004** | – | – | – | – | – | – | 2,346 ± 1,407 | 0.104 | 0.121 |
| Total travel time | 7,766 ± 2,417 | 0.227 | 0.002** | – | – | – | 2,565 ± 508 | 0.354 | 0.000** | – | – | – |
| R2 | 0.34 | 0.17 | 0.26 | 0.39 | ||||||||
| N | 190 | 190 | 190 | 190 | ||||||||
aStandardized beta, b Student’s t test, * p < 0.05, ** p < 0.01
Treatment expenses for women by type of treatment in FCFA*, for women with positive expenses (n = 174)
| Total treatment costs (in FCFA) | ||
|---|---|---|
| N | Mean ± standards deviations | |
| Transfusion | ||
| None | 117 | 58,142 ± 56,629 |
| 1–2 bags | 46 | 55,211 ± 48,849 |
| 3–6 bags | 11 | 114,751 ± 107,777 |
| Antibiotics | ||
| None | 56 | 38,538 ± 45,766 |
| One | 39 | 49,664 ± 36,672 |
| Two or more | 79 | 82,400 ± 71,077 |
| Antihypertensives | ||
| None | 117 | 56,416 ± 57,513 |
| One | 37 | 58,722 ± 47,643 |
| Two or more | 20 | 91,562 ± 86,674 |
| Other treatment (none of the 3 categories above) | 21 | 28,500 ± 24,276 |
| One of the 3 categories above | 77 | 51,654 ± 51,118 |
| Two or more of the 3 categories above | 76 | 79,087 ± 69,761 |
* 1 FCFA = 0,00212 USD
Fig. 3Marginal predicted values of expenses by residence with 95 % confidence interval (n = 190, FCFA*)
Fig. 4Marginal predicted values of treatment expenses with 95 % confidence interval (n = 190, FCFA*)
Characteristics of women who had caesareans (n = 190) and of their expenses by category in FCFA*, Kayes, Mali (2008–2011)
| Characteristics | N (%) | Total expenses | Treatment expenses | Transportation expenses | Other expenses |
|---|---|---|---|---|---|
| Mean ± standards deviations (median) | Mean ± standards deviations (mean proportion of total expenses) | ||||
|
| |||||
| Deceased | 95 (50 %) | 51,197 ± 48,770 (32,000) | 35,850 ± 38,288 (72 %) | 12,142 ± 16,354 (23 %) | 3,205 ± 7,512 (5 %) |
| Near-misses | 95 (50 %) | 102,838 ± 76,146 (90,000) | 72,031 ± 64,954 (67 %) | 9,554 ± 12,508 (10 %) | 21,253 ± 20,916 (23 %) |
|
| |||||
| Eclampsia | 69 (36.3 %) | 84,705 ± 78,333 (63,000) | 56,415 ± 62,111 (67 %) | 12,149 ± 15,817 (16 %) | 16,141 ± 22,777 (17 %) |
| Hemorrhage | 79 (41.6 %) | 66,198 ± 56,802 (52,000) | 49,946 ± 48,660 (74 %) | 8,384 ± 12,828 (15 %) | 7,868 ± 12,103 (11 %) |
| Postpartum infection | 16 (8.4 %) | 126,350 ± 55,392 (136,250) | 85,688 ± 48,771 (64 %) | 20,663 ± 14,311 (21 %) | 20,000 ± 18,000 (15 %) |
| Uterine rupture | 26 (13.7 %) | 59,131 ± 69,216 (40,750) | 39,969 ± 60,329 (65 %) | 8,846 ± 14,150 (18 %) | 10,315 ± 16,392 (17 %) |
|
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| Urban | 42 (22 %) | 43,569 ± 47,002 (27,000) | 38,390 ± 43,759 (83 %) | 1,119 ± 1,052 (9 %) | 4,060 ± 6,879 (8 %) |
| Rural | 148 (78 %) | 86,510 ± 71,161 (73,500) | 58,353 ± 58,613 (66 %) | 13,609 ± 15,434 (18 %) | 14,548 ± 19,581 (16 %) |
|
| |||||
| Poorest tercile | 67 (35.3 %) | 69,715 ± 50,918 (5,000) | 45,360 ± 38,646 (64 %) | 15,735 ± 16,713 (24 %) | 8,619 ± 12,680 (12 %) |
| Intermediate tercile | 62 (32.6 %) | 92,622 ± 92,539 (65,458) | 67,572 ± 76,081 (74 %) | 10,206 ± 13,822 (12 %) | 14,844 ± 21,720 (14 %) |
| Wealthiest tercile | 61 (32.1 %) | 69,178 ± 54,679 (63,000) | 49,508 ± 46,054 (71 %) | 6,133 ± 10,874 (11 %) | 13,537 ± 18,757 (18 %) |
|
| |||||
| Less than 1 h | 70 (36.8 %) | 64,816 ± 66,413 (45,500) | 50,051 ± 54,060 (77 %) | 3,600 ± 6175 (9 %) | 11,164 ± 19,759 (14 %) |
| Between 1 and 2 h | 48 (25.3 %) | 70,917 ± 58,837 (56,000) | 49,020 ± 46,614 (68 %) | 9,793 ± 11,297 (16 %) | 12,104 ± 16,048 (16 %) |
| More than 2 h | 72 (37.9 %) | 92,947 ± 74,849 (79,000) | 61,001 ± 63,577 (63 %) | 18,599 ± 18,186 (23 %) | 13,348 ± 17,875 (14 %) |
| Total | 77,017 ± 68,826 (61,250) | 53,940 ± 56,182 (70 %) | 10,848 ± 14,578 (14 %) | 12,229 ± 18,097 (16 %) | |
| % of women with no expenses | 4 % (n = 8) | 9 % (n = 17) | 34 % (n = 64) | 51 % (n = 97) | |
* 1 FCFA = 0,00212 USD
Example of the consequences of the extra fees paid by households for medication
| The woman arrived at the health centre around 1:00 p.m. and was evacuated at around 8 p.m. to the district hospital for prolonged dystocic labour. After an unsuccessful attempt at forceps delivery, she underwent a caesarean at 11:00 p.m. After surgery, she developed an infection, not responsive for many days to several antibiotics. She also received three blood transfusions for anaemia. While the household did not have to pay for food and transportation, treatment at the health centre cost 6,000 FCFA (13 USD) and at the district hospital, 350,000 FCFA (742 USD) |
Example of the consequences of problems related to the availability of blood for households
| At the end of her pregnancy, the woman noticed bleeding and decided to go to the hospital the same day. She arrived at 11:20 a.m. The physician diagnosed a retroplacental hematoma and performed at 11:40 a.m. The woman delivered a fresh stillborn child. During the intervention, she began hemorrhaging profusely. The physician had requested three bags of blood, but was unsuccessful in getting these. At around 7:00 p.m, two bags of blood were found. Finally, the woman died the following morning around 9:00 a.m. The hospital treatment cost 65,000 FCFA (138 USD) and the food was provided by the family. To cover the costs, the husband had to sell a refrigerator, which he had been using to sell ice and cold drinks in his village. |