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Erschienen in: Globalization and Health 1/2018

Open Access 01.12.2018 | Research

Using equitable impact sensitive tool (EQUIST) to promote implementation of evidence informed policymaking to improve maternal and child health outcomes: a focus on six West African Countries

verfasst von: Chigozie Jesse Uneke, Issiaka Sombie, Henry Chukwuemeka Uro-Chukwu, Ermel Johnson

Erschienen in: Globalization and Health | Ausgabe 1/2018

Abstract

Background

United Nations Children’s Fund (UNICEF) designed EQUitable Impact Sensitive Tool (EQUIST) to enable global health community address the issue of equity in maternal, newborn and child health (MNCH) and minimize health disparities between the most marginalized population and the better-off. The purpose of this study was to use EQUIST to provide reliable evidence, based on demographic health surveys (DHS) on cost–effectiveness and equitable impact of interventions that can be implemented to improve MNCH outcomes in Benin, Burkina Faso, Ghana, Mali, Nigeria and Senegal.

Methods

Using the latest available DHS data sets, we conducted EQUIST Situation Analysis of maternal and child health outcomes in the six countries by sub-national categorization, wealth and by residence. We then identified the poorest population class within each country with the highest maternal and child mortality and performed EQUIST Scenario Analysis of this population to identify intervention package, bottlenecks and strategies to address them, cost of the intervention and strategies as well as the number of deaths avertible.

Results

Under-five mortality was highest in Atlantique (Benin), Sahel (Burkina Faso), Northern (Ghana), Sikasso (Mali), North-West (Nigeria), and Diourbel (Senegal). The number of under-five deaths was considerably higher among the poorest and rural population. Neonatal causes, malaria, pneumonia and diarrhoea were responsible for most of the under-five deaths. Ante-partum, intra-partum, and post-partum haemorrhages, and hypertensive disorder, were responsible for highest maternal deaths. The national average for improved water source was highest in Ghana (82%). Insecticide treated nets ownership percentage national average was highest in Benin (73%). Delivery by skilled professional is capable of averting the highest number of under-five and maternal deaths in the six countries. Redeployment/relocation of existing staff was the strategy with highest costs in Burkina Faso, Nigeria and Senegal. Ghana recorded the least cost per capita ($0.39) while the highest cost per capita was recorded in Benin ($4.0).

Conclusion

EQUIST highlights the most vulnerable and deprived children and women needing urgent health interventions as a matter of priority. It will continue to serve as a tool for maximizing the number of lives saved; decreasing health disparities and improving overall cost effectiveness.

Introduction

As the United Nations (UN) Millennium Development Goals (MDGs) initiative of 2000 rounded off in 2015, available reports indicated that most countries made various levels of progress towards achieving the MDGs 4 and 5 (reducing child mortality and improving maternal health, respectively) [1]. Recent statistics from the WHO Global Health Observatory showed that in Africa, infant, neonatal and under-five mortality rates per 1000 live births reduced from 93.5, 40.9 and 154 in 2000 to 53.9, 27.7 and 79.5 in 2015 respectively [2]. Similarly, the maternal mortality ratio (MMR) per 100,000 live births in Africa reduced from 840 in 2000 to 542 in 2015 [3]. Despite these appreciable, the current infant mortality rate (IMR), neonatal mortality rate (NMR), under-five mortality rate (U5MR) and MMR in Africa are still unacceptably high.
Of all the sub-regions of Africa, the West-Africa with a population of more than 357million (about 1/3 of entire African population) [4, 5], is among the worst performing regions in terms of addressing maternal and child mortality. The MMR of some of the West African countries are among the highest in the world such as Sierra Leone (1360/100,000), Nigeria (814/100,000), Liberia (725/100,000) and The Gambia (706/100,000) [5]. Similarly, the sub-region has countries which records U5MR that are among the highest in the world including Sierra Leone (118/1000), Mali (114/1000), Nigeria (108/1000) and Benin (100/1000) [5].
Recent studies sponsored by the West African Health Organization (WAHO) report that contextual barriers such as road conditions, culture, knowledge of risks and the status of women, and health systems barriers including geographic distance of health centres, services delivery organisation, the availability and ability of health services, and the quality of care, all act together to increase maternal and child mortality in the sub-region [6, 7]. It has been argued that any effort to improve maternal and child mortality in West Africa must not only focus on investing in interventions but more importantly on strengthening health systems and context to enable efficient and effective implementation of proven life-saving interventions [6]. Among the most critical health systems components that is often neglected in health systems strengthening efforts to improve MNCH outcomes in Africa is the concept of equity [8]. Wilunda and co-workers [9] have noted that dramatic inequities in maternal and child care in Africa are now being increasingly recognized and addressed in strategic documents, action plans and related indicators, but unfortunately are seldom translated into concrete actions.
Evidence abound which showed that decrease in maternal and child mortality in low and middle-income countries (LMICs) including the African region has been accompanied by increased inequity in health outcomes between the poor and those better off [1013]. Consequently, the United Nations Children’s Fund (UNICEF) has strongly advocated against the ‘mainstream approach’ where scaling–up of health interventions favour wealthier groups in the society, but rather is promoting an ‘equity–focused’ approach in which interventions are targeted at the poorest in the society [14]. In a recent publication [13], UNICEF made a strong case for equitable investment and argued that since most maternal and child deaths in LMIC could have been prevented with practical, high-impact, and, low-cost health interventions, extending services to the most deprived and marginalized communities would not only avert more deaths, but would also do so more cost-effectively.
To this end, a number of tools have been developed to assess the relationship between cost–effectiveness and equitable impact in maternal and child mortality reduction [14]. Some of these tools included the Marginal Budgeting for Bottlenecks (MBB) [15], Choice of Interventions that are Cost–Effective (CHOICE) [16], and the Lives Saved Tool (LiST) [17]. According to Waters and colleagues [18], the major limitation of these tools is that they make no allowance for income-related inequalities in countries and therefore cannot fully address equitable impact considerations. To address this limitation, the UNICEF designed the EQUitable Impact Sensitive Tool (EQUIST) to enable the global health community improve equity in MNCH and reduce health disparities between the most marginalized mothers and young children and the better-off [18, 19]. EQUIST is an online tool (http://​equist.​info/​en/​pages/​home), which has been described as a medium-term strategic planning, modelling and monitoring platform that serves to improve child and maternal health as well as nutrition equity in LMICs [1822].
The purpose of this study was to use EQUIST to provide reliable evidence, based on globally available demographic health surveys (DHS) on cost–effectiveness and equitable impact that will facilitate the implementation of interventions that will improve MNCH outcomes in West Africa with a focus on six West African countries (Benin, Burkina Faso, Ghana, Mali, Nigeria and Senegal). The goal was to provide decision makers and global health community with scientific information that will enable them think about issues of equity in MNCH in a more systematic and evidence-informed way, in order to design health intervention strategies that will lead to stronger, more resilient health systems in West Africa. In this study, we used EQUIST to: (i). create an accurate picture of the health status of the most deprived children and women in Benin, Burkina Faso, Ghana, Mali, Nigeria and Senegal; (ii). identify which populations are at greatest risk, why they are at risk, and how many lives can be saved with appropriate action; (iii). identify the highest impact, most cost-effective strategies to level disparities; and (iv). measure the potential effects in terms of lives saved and costs.

Methods

Setting

Geographically, the West African sub-region is bounded by the Atlantic Ocean in the west and by the Gulf of Guinea in the south and is characterised by a very rich ethnic and social diversity. Most of the countries of West Africa are classified as poor and their economies are not very well developed or diversified with the Human Development Index (HDI) rank among the poorest in the world [4]. The 2014 HDI rank of Benin, Burkina Faso, Ghana, Mali, Nigeria and Senegal out of 188 countries were 166, 183, 140, 179, 152, and 170 respectively [2]. The health situation in these six countries like all others in West Africa region is a reflection of the development stage which most of the countries in the region are at. These six countries were selected for this investigation because there are the countries in which the West African Health Organization is implementing the Moving Evidence to Policy (MEP) project in maternal and child health.

Design

An explanation of the main concepts, assumptions and default data sources used in EQUIST are presented in the EQUIST technical note [23], while the step-wise procedure of performing the analysis is described in the EQUIST user’s guide [24]. EQUIST is linked to LiST, estimate cost using MBB, and uses data globally available such as DHS [24], and is based on a simple seven-step theory of change [21, 23]. This theory of change assumes that investments in, and implementation of, equity-focused strategies that remove quantifiable health system bottlenecks will lead to improvements in the coverage of high-impact health interventions and improved health outcomes for target populations [21].

Analysis

EQUIST situational analysis

EQUIST is pre-loaded with DHS data sets and we used the latest available DHS data sets of the six West African countries we considered in this study. The DHS are country-wide household survey that are nationally-representative and which provide a wide range of systematic information on health indicators and health services. We used the 2011 DHS data set of Benin, 2010 of Burkina-Faso, 2014 of Ghana, 2013 of Mali, 2013 of Nigeria and 2014 of Senegal to perform both profile and frontier situational analysis [23]. We conducted a general EQUIST situation analysis of maternal and child health outcomes in the six countries by sub-national categorization, by wealth and by residence. We then identified the poorest population class within each country with the highest maternal and child mortality and performed EQUIST scenario analysis of this population in order to identify the intervention package, the bottlenecks and strategies to address them, the cost of the intervention and strategies as well as the number of deaths avertible and lives saved per US$ invested.
(a)
Profile analysis
 
Using the EQUIST Profile analysis, we assessed the general extent, nature and implications of inequities as they affect MNCH in the six countries. Under the Demographic Parameters of the Sector Category, we examined under-five mortality and neonatal mortality with reference to the key drivers of inequity, the underlying factors that explain inequities (wealth quintile, geography, and location) and analysed the scale of inequity (deprivation mostly concentrated in poorest quintile and in rural areas). Under the Epidemiological Parameters of the Sector Category, we performed EQUIST Profile analysis to determine the key epidemiological causes and the specific number of under-five, neonatal and maternal mortality each of them causes.
Under the Theme Category, we also performed EQUIST Profile analysis of the percentage of Effective Coverage of maternal and child health interventions including: (i). Family care practices (WASH, ITNs/Environmental safety, neonatal/infant care); (ii). Preventive services (immunization plus); (iii). Curative services (IMNCI, delivery by skilled professionals, EMONC). We related these interventions and effective coverage to the six countries by wealth (poorest and richest) and by residence (rural and urban).
(b)
Frontier analysis
 
Using the EQUIST Frontier analysis, we identified the factors most likely to drive inequity, and compared the number of Under-five and maternal deaths that could be averted in the poorest wealth quintile in the six West African countries. Under the Frontier, we performed two analyses.
First, we performed the Equity Frontier analysis to identify how many under-five and maternal lives that could have been saved if the six countries equalize coverage values for the least disadvantaged within the most disadvantaged population (poorest quintile). This was to enable us know the number of deaths that will be averted if the coverage gaps for the most disadvantaged population was equivalent to that of the richest in each of the countries’ context.
Second, we performed the Operational Frontier analysis to determine the number of under-five and maternal deaths that could be averted if effective coverage of evidence based high impact interventions are implemented and if their bottlenecks are reduced with the same proportion as observed in the most disadvantaged quintiles in best- performing countries.

EQUIST scenario analysis

We conducted EQUIST scenario analysis for the six selected West African countries by wealth focusing on the poorest quintile.
(a)
Analysis of epidemiological priorities
 
Using the EQUIST epidemiological priorities we identified three categories of mortality and their main causes in the poorest quintile as follows: (i). Neonatal mortality (asphyxia, prematurity, sepsis, pneumonia, diarrhoea, tetanus); (ii). Post-neonatal and child mortality (diarrhoea, malaria, meningitis, pneumonia, asphyxia, sepsis, measles, tetanus, pertussis, prematurity); (iii). Maternal mortality (antepartum haemorrhage, complicated abortion, obstructed labour, postpartum haemorrhage, sepsis infection).
(b)
Analysis of interventions
 
We identified the priority interventions with which to address the epidemiological issues we selected. The interventions are grouped in nine “packages” further grouped into three service delivery modes: family care practices, preventive services, and curative services.
(c)
Analysis of bottlenecks, causes & recommendations
 
We identified the priority bottlenecks to implementing the interventions we selected. We related the priority bottle necks with the eight EQUIST scenario coverage determinants including: (i) Availability of commodities, (ii) availability of human resources, (iii) geographical accessibility, (iv) financial affordability, (v) sociocultural acceptability, (vi) initial utilization, (vii) adequate coverage, and, (viii) effective coverage. The bottleneck analysis framework in EQUIST assumes that eight conditions (coverage determinants) must be met to provide effective coverage of any health intervention [23]. Using the EQUIST bottleneck analysis, we determined the severity of bottlenecks based on the indicators used to measure the level of compliance with each condition for utilization, as well as the relationship between initial utilization, adequate coverage. For each intervention, we identified the coverage determinant, bottleneck, cause of the bottleneck and recommendations to address them.
(d)
Analysis of enabling environment and strategies to address bottlenecks and their causes
 
We performed the analysis of the enabling environment which is classified into four (social norms; legislation/policy; budget/expenditure; management/coordination) and identified the direct causes. We also performed the analysis of the strategies classified into five health systems building blocks (financing; service delivery; medical products, vaccines and technologies; health workforce; governance/leadership; information) to address the bottlenecks.
(e)
Analysis of impact and cost
 
The EQUIST impact and cost analysis was performed to determine the following: (i). The operational frontier for maternal, under-five and neonatal mortality: that is amenable deaths if the deprived population coverage value was equal to the best performing countries, (ii). The equity frontier for maternal, under-five and neonatal mortality: that is amenable deaths if the deprived population coverage value was equal to the non-deprived population coverage value; (iii). Amenable under-five and maternal deaths among the poorest by intervention package in the six West African countries; (iv). The cost of strategies to avert both maternal and under-five mortality; (v). The cost per capita averting the number of deaths.

Result

Outcome of situational analysis

The EQUIST profile analysis of under-five mortality by sub-national regions under the demographic parameters of the sector category in the six West African countries showed the regions recorded the highest mortality Atlantique (Benin), Sahel (Burkina Faso), Northern (Ghana), Sikasso (Mali), North West (Nigeria), and Diourbel (Senegal). The number of deaths/1000 live births in these regions were more than twice the number recorded in the regions with the lowest number of deaths/1000 live births and the values were considerably higher than the national average in the six countries (Table 1). The number of under-five deaths/1000 live births was considerably higher among the poorest compared to the richest and among the rural compared to the urban population (Table 1).
Table 1
Six West African Countries Under-five mortality by Sub-National Regions, Wealth and Residence
Country/Year
National Average
Deaths/1000 live births
By Sub-National Region
Deaths/1000 live births
(Number of deaths)
By Resident
Deaths/1000 live births
(Number of deaths)
By Wealth
Deaths/1000 live births
(Number of deaths)
Highest
Lowest
Rural
Urban
Poorest
Richest
Benin/2014
109
Atlantique:
106(5495)
Littoral:
50(1263)
122(20,864)
94(15,196)
126(8342)
63(4636)
Burkina-Faso/2010
114
Sahel:
181(9573)
Centre-Est:
60(3121)
120(58,279)
80(11,748)
134(17,071)
74(7503)
Ghana/2014
64
Northern:
118(12,709)
Greater Accra:
50(5352)
80(32,677)
68(27,213)
98(17,667)
68(10,050)
Mali/2013
123
Sikasso:
156(16,253)
Bamako:
76(3086)
146(58,505)
83(17,856)
145(18,040)
79(8861)
Nigeria/2013
117
North West: 149(343,740)
South West: 72(26,126)
134(492,003)
80(241,110)
153(235,760)
59(82,647)
Senegal/2014
50
Diourbel:
86(5922)
Dakar:
38(3660)
71(25,950)
41(7938)
85(11,328)
26(2397)
The outcome of profile analysis of neonatal mortality by sub-national regions, wealth and residence under the demographic parameters of the sector category is summarized in Table 2. The number of neonatal deaths/1000 live births was consistently higher among the poorest compared to the richest and among the rural compared to the urban population except in Ghana. The six countries under-five mortality by epidemiological cause under the Sector Category is presented in Table 3. The four diseases responsible for most of the deaths are neonatal causes, malaria, pneumonia and diarrhoea. The rural dwellers as well as the poorest had higher under-five mortality numbers across the six West African countries (Table 3).
Table 2
Six West African Countries Neonatal mortality by Sub-National Regions, Wealth and Residence
Country/Year
National Average
Deaths/1000 live births
By Sub-National Region
Deaths/1000 live births
(Number of deaths)
By Resident
Deaths/1000 live births
(Number of deaths)
By Wealth
Deaths/1000 live births
(Number of deaths)
Highest
Lowest
Rural
Urban
Poorest
Richest
Benin/2014
33
Atlantique:
29(1493)
Littoral:
18(439)
35(6011)
31(4953)
32(2332)
27(2008)
Burkina-Faso/2010
30
Est:
46(2920)
Centre-Nord:
21(1129)
31(15204)
26(3796)
29(3719)
22(2220)
Ghana/2014
29
Ashanti:
42(6646)
Upper East:
24(544)
29(11845)
33(13154)
32(5761)
40(5888)
Mali/2013
39
Sikasso:
51(5303)
Bamako:
32(1314)
44(17654)
31(6759)
45(5636)
35(3909)
Nigeria/2013
36
North West: 42(96145)
South West: 30(16085)
43(155964)
33(98646)
44(67185)
29(40872)
Senegal/2014
22
Diourbel:
42(2897)
Ziguinchor:
18(599)
28(10359)
17(3326)
28(3785)
12(1158)
Table 3
Six West African Countries Under-five mortality numbers by six major Epidemiological Causes
Country/
Year
Situational description
Neonatal causes
Injuries
Malaria
Meningitis
Pneumonia (U5)
Diarrhoea (U5)
Benin/2014
Atlantique
1493
140
1225
52
657
852
Littoral
439
34
242
11
132
150
Rural
6011
547
4409
184
2188
3327
Urban
4954
375
3041
132
1676
2140
Poorest
2332
237
2041
87
1072
1730
Richest
2008
104
831
33
446
423
Burkina-Faso/2010
Sahel
1993
386
1997
352
2020
1480
Centre-Est
958
177
689
73
346
369
Rural
15,205
2848
12,623
1560
9109
8054
Urban
3796
669
2574
349
1557
795
Poorest
3720
787
3836
481
2935
2723
Richest
2220
454
1449
258
1254
507
Ghana/2014
Northern
2576
682
3854
312
1923
1639
Greater Accra
2669
170
968
60
670
340
Rural
11,845
1622
6233
621
4718
3145
Urban
13,154
1080
5206
415
2838
1842
Poorest
5761
864
3815
344
2832
1898
Richest
5888
255
1927
88
830
446
Mali/2013
Sikasso
5303
598
1635
235
1403
1254
Bamako
1314
105
313
39
204
121
Rural
17,652
1944
5351
1014
7071
6037
Urban
6759
579
1620
298
1985
1041
Poorest
5636
590
1674
382
2114
1697
Richest
3910
286
792
157
774
249
Nigeria/2013
North-West
96,134
17,204
80,319
12,322
58,954
28,739
South-West
13,775
973
4438
616
2295
1512
Rural
155,975
49,628
101,344
15,527
76,233
57,657
Urban
98,638
11,857
50,686
7174
29,437
14,586
Poorest
61,186
10,668
51,099
7669
34,847
32,244
Richest
40,867
3566
15,654
2058
8215
3361
Senegal/2014
Diourbel
2317
306
1094
84
843
457
Dakar
1570
188
682
51
515
162
Rural
10,359
1340
4566
370
3358
2354
Urban
3327
416
1448
114
1113
416
Poorest
3785
565
1993
171
1654
1576
Richest
1158
113
420
29
321
67
The poorest and the rural dwellers across the six countries had the highest number of neonatal deaths (Table 4). The four diseases responsible for the highest neonatal mortality included sepsis, asphyxia, prematurity and congenital disorders. Prematurity was the major killer of the neonates in all the six countries with the mortality considerably higher among the rural compared to the urban population in Benin (2151 vs. 1622), Burkina Faso (4457 vs. 1175), Mali (4510 vs. 1828), Nigeria (49,314 vs. 33,432) and Senegal (2951 vs. 1125). An exception was in Ghana where the neonatal mortality due to prematurity was higher among the urban (4771) compared to the rural population (3680) (Table 4).
Table 4
Six West African Countries Neonatal mortality numbers by six major Epidemiological Causes
Country/
Year
Situational description
Congenital
Tetanus
Prematurity
Asphyxia
Pneumonia
Sepsis
Benin/2014
Atlantique
96
519
414
244
98
Littoral
28
148
118
81
31
Rural
396
2151
1746
859
357
Urban
305
1622
1290
977
367
Poorest
135
772
634
438
173
Richest
130
671
524
384
140
Burkina-Faso/2010
Est
166
83
812
820
206
605
Centre(exc.Ouag)
15
7
74
75
85
251
Rural
909
457
4457
4501
953
2800
Urban
239
120
1175
1186
203
627
Poorest
218
109
1073
1084
245
706
Richest
139
69
679
685
123
383
Ghana/2014
Ashanti
695
245
2329
2120
180
555
Upper East
52
20
192
159
22
61
Rural
1009
584
3680
3558
478
1826
Urban
1299
446
4771
3914
474
1327
Poorest
373
277
1503
1392
432
1516
Richest
620
168
2273
1822
135
428
Mali/2013
Sikasso
249
176
1647
1566
304
874
Kidal
7
8
53
53
2
5
Rural
589
537
4510
3892
1519
5291
Urban
311
184
1828
1735
490
1525
Poorest
231
207
1722
1584
364
1069
Richest
224
109
1220
1227
183
590
Nigeria/2013
North-West
4644
4714
32,048
29,044
4621
14,464
South-West
927
256
4669
4957
493
1234
Rural
7364
6338
49,314
45,540
9269
27,478
Urban
5937
2219
33,432
33,222
4198
11,514
Poorest
3117
3657
21,804
19,751
3534
10,771
Richest
2914
619
14,065
15,276
1197
3013
Senegal/2014
Diourbel
327
94
890
861
145
431
Kedougou
23
5
65
64
19
48
Rural
1069
326
2951
2867
674
1981
Urban
447
112
1125
1005
100
329
Poorest
344
114
987
979
296
906
Richest
158
35
398
347
32
113
The six diseases responsible for the highest maternal mortality included ante-partum haemorrhage, intra-partum haemorrhage, post-partum haemorrhage, hypertensive disorder, maternal sepsis and complicated abortion. Considerably higher maternal mortality was recorded in the rural compared to the urban population across all the countries except in Ghana (Table 5).
Table 5
Six West African Countries Maternal mortality numbers by six major Epidemiological Causes
Counntry/
Year
Situational description
Ante-partum
Intra-partum
Post-partum
Hypertensive
Maternal sepsis
Complicated abortion
Benin/2014
Atlantique
16
16
16
25
19
14
Mono
6
6
6
9
7
5
Rural
54
54
54
83
64
47
Urban
51
50
50
78
60
44
Poorest
23
23
23
36
27
20
Richest
23
23
23
36
27
20
Burkina-Faso/2010
Boude du Mou.
23
3
42
45
29
27
Centre(exc.Ouaga)
8
0.84
14
15
10
9
Rural
170
18
308
324
209
195
Urban
35
4
63
67
43
40
Poorest
44
5
80
85
55
51
Richest
36
4
65
68
44
41
Ghana/2014
Ashanti
46
46
46
71
55
40
Upper East
7
7
7
10
8
6
Rural
120
118
118
184
141
104
Urban
117
116
116
180
137
101
Poorest
53
52
52
81
62
46
Richest
43
43
43
66
51
37
Mali/2013
Koulikoro
70
69
69
108
82
61
Kidal
2
2
2
3
2
2
Rural
223
220
220
342
262
193
Urban
120
119
119
184
141
104
Poorest
69
68
68
106
81
60
Richest
96
62
62
96
73
54
Nigeria/2013
North-West
1726
1707
1707
2656
2030
1499
South-West
273
270
270
420
321
237
Rural
2737
2707
2707
4211
3218
2376
Urban
2240
2215
2215
3446
2634
1945
Poorest
1153
1140
1140
1774
1356
1001
Richest
1052
1040
1040
1618
1237
913
Senegal/2014
Dakar
29
28
28
44
34
25
Kedougou
2
2
2
3
2
2
Rural
108
106
106
166
127
93
Urban
58
57
57
89
68
50
Poorest
39
39
39
61
46
34
Richest
27
27
27
42
32
24
The percentage national average for WASH (improved water source) was higher in Ghana (82%), Mali (73%), and Senegal (81%), compared to the remaining three countries. ITN ownership percentage national average was highest in Benin (73%) and Mali (61%) but lowest in Nigeria (13%). The percentage of the ITN ownership was lower among the poorest compared to the national average in Benin (73% vs. 68%), Burkina-Faso (47% vs. 42%), Mali (61% vs. 56%), Nigeria (13% vs. 9%) and Senegal 43% vs. 38%) (Table 6). Ghana recorded the highest percentage of national average of exclusive breast feeding (52%) compared to the other five countries. The highest percentage coverage of DTP3 immunization was recorded in Burkina Faso (90%) and Ghana (89%), with the least in Benin (0.74%). In all the six countries, the percentage coverage of DTP3 immunization among the poorest was lower than the national average (Table 6). In terms of the curative services (essential care and case management of premature babies), the percentage coverage was low across the countries except in Benin (80% and 100% respectively), also the percentage coverage among the poorest was generally lower than the national average.
Table 6
Percentage of health intervention effective coverage by residence and wealth in Six West African Countries
Country/
Year
Situational description
Family Care Practices
Preventive Services
Curative Services
WASH (Improved water source)
ITNs (ITN ownership)
NIF (Excl breast feeding)
Immunization Plus (DTP3)
IMNCI (Oral antibiotic case mgt)
Delivery by skilled professionals (Essential care)
EMONC (Case Mgt of prematurity)
Benin/2014
National average
18
73
41
0.74
23
80
100
 
Rural
7
72
42
0.72
26
78
100
Urban
34
74
41
0.76
19
84
100
Poorest
0
68
40
0.60
19
66
100
Richest
58
77
39
0.88
13
91
100
Burkina-Faso/2010
National average
17
47
25
90
42
ND
25
 
Rural
7
48
25
89
37
ND
25
Urban
53
45
25
92
60
ND
25
Poorest
100
42
25
83
29
ND
25
Richest
59
48
25
93
52
ND
25
Ghana/2014
National average
82
47
52
89
43
16
NA
 
Rural
74
55
52
89
39
20
ND
Urban
89
36
52
88
51
6
ND
Poorest
82
55
52
87
28
21
ND
Richest
82
31
52
92
22
2
ND
Mali/2013
National average
73
61
36
63
37
26
13
 
Rural
73
61
0.7
59
36
27
8
Urban
73
58
1
79
40
25
39
Poorest
73
56
41
48
22
25
2
Richest
73
59
29
78
44
24
42
Nigeria/2013
National average
67
13
17
38
19
28
4
 
Rural
54
13
17
25
16
20
1
Urban
86
13
21
62
25
27
16
Poorest
36
9
17
7
14
6
0
Richest
84
12
17
80
35
27
29
Senegal/2014
National average
81
43
32
89
33
27
7
 
Rural
72
44
33
89
40
28
3
Urban
91
42
32
89
28
27
4
Poorest
56
38
28
86
34
27
2
Richest
97
33
23
92
40
26
9
The outcomes of the analysis of avertible deaths by epidemiological cause and equity/operational frontier for under-five children in the six countries are shown in Table 7. In the Burkina Faso and Nigeria, the three main diseases responsible for the highest number of avertible under-five deaths by equity and operational frontiers are malaria, pneumonia, and diarrhoea. In Ghana, Mali and Nigeria, the four main diseases responsible for the highest number of avertible maternal deaths by equity and operational frontiers are sepsis, hypertensive disorders, post-partum haemorrhage and intra-partum haemorrhage (Table 7).
Table 7
Avertible deaths among the poorest by epidemiological cause and equity/operational frontier for under-five mortality in six West African countries
Main causes of deaths avertible
Benin
Burkina-Faso
Ghana
Mali
Nigeria
Senegal
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Under-five deaths
 Malaria
174
853
1313
1745
392
1352
42
940
4325
31,406
0
1240
 Measles
0
0
216
169
12
3
169
99
1342
805
58
16
 Pneumonia (U5MR)
88
299
1026
862
204
792
609
802
11,103
15,381
250
450
 Diarrhoea (U5MR)
772
1100
2053
2016
545
911
1285
979
24,401
19,849
1231
998
 Tetanus
0
0
11
21
194
−3.46
101
34
2926
1169
37
10
 Prematurity
126
259
4
639
396
874
559
1009
5798
13,161
509
521
 Asphyxia
489
136
5
635
1308
653
876
938
8693
12,059
217
536
Sepsis
38
94
144
563
770
1251
511
868
4721
8385
547
687
Maternal deaths
 Complicated abortion
8
0.89
0
27
0
16
32
34
154
0
10
16
 Sepsis
17
0
0
27
49
23
52
37
681
657
14
19
 Hypertensive disorders
26
5
0
47
73
42
71
57
1271
926
16
31
 Post-partum haemorrhage
17
0
2
46
54
21
44
39
636
656
13
22
 Intra-partum haemorrhage
12
3
0.1
2
44
22
33
31
457
527
2
20
 Ante-partum haemorrhage
12
3
0.94
20
44
22
33
32
462
533
2
20

Outcome of scenario analysis

The number of amenable/avertible under-five deaths if the deprived population coverage value was equal to (i). the best performing countries (operational frontier) and (ii) the non-deprived population coverage value (equity frontier) are shown in Table 8. An additional chart file of the six West African countries shows this in more detail [see Additional files 1, 2, 3, 4, 5, 6]. In the six countries, pneumonia, diarrhoea and asphyxia were responsible for the highest number of amenable under-five deaths by operational and equity frontiers.
Table 8
Amenable deaths among the poorest by epidemiological cause and equity/operational frontier in six West African countries
Main causes of deaths amenable
Benin
Burkina-Faso
Ghana
Mali
Nigeria
Senegal
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Under-five deaths
 Pneumonia (U5MR)
7
8
600
613
9
18
399
602
5644
9082
9
4
 Diarrhoea (U5MR)
222
277
842
638
195
373
468
181
3311
245
101
 Asphyxia
479
471
155
604
1140
638
739
803
8163
10,104
200
393
 Malaria
172
243
193
440
35
345
745
14,599
 Sepsis
19
19
240
90
175
117
1832
1287
 Prematurity
55
55
58
60
91
67
111
109
1796
1893
54
34
 Measles
135
67
9
105
31
910
246
32
46
 Tetanus
63
22
50
30
900
549
 Pertussis
27
42
28
1827
593
38
40
Neonatal deaths
 Asphyxia
479
471
155
604
1140
638
739
803
8163
10,104
200
393
 Sepsis
19
19
2
4
240
90
275
117
1832
1287
 Prematurity
55
55
58
60
91
67
111
109
1796
1893
54
34
 Pneumonia (NNMR)
2
2
1
4
 Diarrhoea (NNMR)
6
7
28
21
8
16
23
9
 Tetanus
63
22
50
30
900
549
Maternal deaths
 Ante-partum haemorrhage
12
12
21
39
20
24
30
309
508
2
14
 Intra-partum haemorrhage
12
12
2
39
19
24
30
306
503
2
14
 Post-partum haemorrhage
15
12
0.75
38
31
19
21
30
283
500
2
14
 Hypertensive disorders
9
8
27
48
20
29
29
353
490
3
15
Sepsis
26
10
33
19
533
317
Asphyxia is responsible for the highest number of amenable neonatal deaths by operational and equity frontiers in the six countries. Ante-partum haemorrhage, intra-partum haemorrhage, post-partum haemorrhage and hypertensive disorders are the diseases responsible for the highest number of amenable maternal deaths among the poorest quintile in Ghana, Mali and Nigeria (Table 8).
Amenable deaths among the poorest by intervention package and equity/operational frontier for under-five and maternal mortality in six West African countries are shown in Table 9. Delivery by skilled professional is a major intervention capable of averting the highest number of under-five and maternal mortality in all the six countries. IMNCI, ITNs/Environmental safety, WASH and Immunization plus are capable of averting under-five deaths ranging from 35 in Ghana to 15,599 in Nigeria. An additional chart file of the six West African countries shows this in more detail [see Additional files 1, 2, 3, 4, 5, 6].
Table 9
Amenable deaths among the poorest by intervention package and equity/operational frontier for under-five and maternal mortality in six West African countries
Main intervention package
Amenable under-five deaths by package and equity/operational frontier among the poorest
Benin
Burkina-Faso
Ghana
Mali
Nigeria
Senegal
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Equity
Operational
Delivery by skilled professional
548
537
208
653
1534
817
1070
1014
12,654
13,116
254
426
IMNCI
554
576
375
588
5500
8985
ITNs/Environmental safety
182
258
202
462
42
409
796
15,599
WASH
236
293
941
711
216
412
544
206
3611
265
109
Immunization plus
161
66
35
141
56
2727
835
67
86
Amenable maternal deaths by package and equity/operational frontier among the poorest-
 Delivery by skilled professional
55
56
96
202
98
140
152
1892
2547
10
61
The cost of intervention strategies to avert the mortality as provided by the EQUIST impact and cost analysis are presented in Table 10. The strategies with the highest costs in Burkina Faso, Nigeria and Senegal are Redeployment/relocation of existing staff. Ghana recorded the least cost per capita ($0.39) while the highest cost per capita was recorded in Benin ($4.0) (Table 10). The avertible under-five, neonatal and maternal mortality by cause and by intervention package as well as the estimates of cost generation for the analysis and cost per capta of avertible number of deaths in the scenario in all the six countries are shown in more detail as an additional chart file [see Additional files 1, 2, 3, 4, 5, 6].
Table 10
Cost of intervention in USD ($) to avert mortality among the poorest by in six West African countries
Intervention strategy
Cost of intervention in six countries
Benin
Burkina Faso
Ghana
Mali
Nigeria
Senegal
Conditional cash transfer
521,950
1,173,987
424,339
1,205,482
9,210,783
987,425
Vouchers
521,950
1,173,987
424,339
1,205,482
9,210,783
987,425
Health insurance
521,950
1,173,987
424,339
1,205,482
9,210,783
987,425
Supply-side financial incentives
1,596,353
499,389
225,433
745,928
1,741,842
21,681
Pharmaceutical cost control
34,526
Community education & outreach
218,692
131,753
119,012
1460
3,977,842
230,580
Redeployment/relocation of existing staff
2,327,896
138,773
22,056,700
2,209,502
Leadership and management training
3,104,019
971,035
93,930
42,158
Health systems accountability
3,104,019
971,035
93,930
3,386,914
42,158
Task-shifting/task sharing
1,163,948
69,386
11,028,350
1,104,751
Ensure timely procurement of key commodities
13,810
76,891
40,574
3027
Pharmaceutical stock management
13,810
76,891
Pre-service training/recruitment
11,272
Pharmaceutical quality regulation
48,454
Cost per capita
4.0
3.0
0.39
2.0
2.0
2.0

Discussion

The outcome of the EQUIST analysis generally showed that the six West African countries have unacceptably high maternal and child mortality that is perhaps among the worst in the world. Santi and Weigert [25] noted in their report that West Africa lags behind the other regions of Africa in terms of women health as gender-disaggregated indicators showed that the status of women has hardly improved. The regions that consistently recorded the highest maternal, under-five and neonatal mortality included Atlantique in Benin, Sikasso in Mali, North West in Nigeria, and Diourbel in Senegal. Using the EQUIST analysis, the picture of the health status of these regions were highlighted as having the most vulnerable and deprived children and women and needing urgent health interventions as a matter of priority.
Available reports from Nigeria support the outcome of the EQUIST situational analysis which indicated the highest maternal and child mortality in the North-West region of the country [26]. The Nigeria National Population Commission (NPC), noted in a previous report that there exist substantial variations across the Nigeria’s six geopolitical zones in terms of social, cultural, and economic status [27]. The North-East and North-West regions of Nigeria are noted to be characterized by high level of non-formal education, polygamous marriage, early/teenage marriage/pregnancy, poor access and utilization of modern health facility, and very high proportion of extremely poor rural population [28]. These factors contribute significantly to the very poor MNCH outcomes in the North-West and North-East Nigeria [2628].
In Mali, a recent report confirms that the Sikasso is among the regions with the worst health statistics, having the highest infant mortality rate and under-five mortality rate in the country [29]. According to Daou and colleagues, the main factors that are significantly associated with child mortality in Sikasso Mali, included the level of education of parents, the age of the mothers and the lack of skilled health care resources [30]. In Senegal, and especially in Diourbel region, child marriage is reported to be a major contributor to the very high maternal and child mortality [31, 32].
The EQUIST situational analysis showed that the rural dwellers and poorest quintile population had consistently higher maternal and child mortality in all the six countries. Also, higher number of deaths due to epidemiological causes were recorded among the rural dwellers and poorest quintile population. In an earlier report on maternal mortality and access to obstetric services in West Africa, Ronsmans and co-workers noted that most rural women give birth at home in the absence of skilled care, while urban women tend to give birth in a hospital with a skilled attendant, consequently, maternal mortality is extremely high in rural areas, and substantially lower in urban areas [33]. In addition to this, higher maternal and child deaths are recorded in West African rural areas because of low quality of services at government facilities, inadequate outreach services, self-medication and client preferences for traditional medicine because traditional beliefs and practices remain strong in the region [34].
The EQUIST situational analysis showed that neonatal causes, malaria, pneumonia, and diarrhoea were the major causes of under-five mortality in all the six countries. Result also showed that sepsis, asphyxia, and prematurity were the leading causes of neonatal mortality in the countries. Both under-five mortality and neonatal mortality were highest among the poorest and the rural dwellers in the six countries. Available evidence from previous studies conducted in Nigeria indicated that these diseases were responsible for the highest under-five and neonatal mortality numbers in various parts of the country especially among the rural and the poorest [26, 27]. A similar trend was also reported in other West African countries [35].
EQUIST analysis showed that obstetric hemorrhage is the leading cause of maternal mortality in all the six countries. Of the three types of Obstetric haemorrhage, post-partum haemorrhage was responsible for the highest number of maternal mortality. In a previous study on maternal mortality undertaken in northern Nigeria, post-partum haemorrhage was a leading cause of maternal mortality, contributing 75% of the cases [36]. Reports from Mali, Senegal and other parts of West Africa, noted that post-partum haemorrhage was a major cause of maternal death [37, 38].
The EQUIST situational and scenario equity and operational frontier analysis showed that thousands of under-five and maternal deaths could have been averted if the countries had equalized coverage values for the least disadvantaged within the most disadvantaged population (poorest quintile). According to the UN Chronicle report, universal coverage of scientifically proven cost-effective interventions are capable of reducing child deaths from about 2 million to just 650,000 [39]. According to Partnership for Maternal, Newborn & Child Health, the majority of maternal and child mortality and morbidity are preventable with interventions that are effective and affordable which prevent or treat the most common causes of illness [40]. A recent World Bank report indicated that scaling up all interventions in the packages of maternal and newborn health, plus folic acid before pregnancy, and child health from the existing rate of coverage to 90% would avert 149,000 maternal deaths; 849,000 stillbirths; 1,498,000 neonatal deaths; and 1,515,000 child deaths [41]. There is therefore, an international consensus that improving the coverage and quality of these interventions should be the focus of policies and associated programmes [40].
In terms of the coverage of intervention package to improve maternal and child health outcomes, EQUIST analysis revealed that Ghana, Senegal and Mali had higher national average of 82%, 81% and 73% respectively compared to the remining three countries. A recent report indicated that Ghana achieved its Millennium Development Goal (MDG) water target about a decade before the 2015 deadline [42]. As in Ghana, substantial donor support as well as institution of effective water policy reforms are major contributors to the very high percentage national water coverage also witnessed in Senegal and Mali [43, 44].
The EQUIST analysis indicated that the percentage of the ITN ownership, DTP3 immunization and curative services such as essential care and case management of premature babies was lower among the poorest compared to the national average in most of the countries. A recent study on equity trends in ownership of ITNs involving eight West African countries (including Benin, Burkina Faso, Mali, Nigeria, Senegal etc.) and 11 other sub-Saharan African countries, showed that richer households were more likely to own ITNs than the poorest households [45]. The relatively lower percentage of ITNs possession by the population of the poorest quintile has been attributed to their inability to afford the cost of the ITNs and probably as a result of low access to health care among the poorest populations [46]. Similarly, regarding routine immunization, disparities in coverage within countries also exist between poor and wealthy populations, where children in poor households are at much greater risk of dying from vaccine-preventable diseases than children in relatively wealthier households [46, 47].
The EQUIST scenario analysis for mortality by intervention package showed that delivery by skilled professionals has the potential of averting the highest number of under-five and maternal mortality in all the six countries. Findings from a number of previous studies have shown that between 13 and 33% of maternal deaths and up to 25% of newborn deaths could be averted by the availability of skilled attendant at delivery [48, 49]. According to UNICEF, the very high NMR, IMR and U5MR recorded in LMICs are caused by diseases and medical conditions which can easily be prevented by skilled care during delivery and immediate neonatal period [50].
One of the major strengths of the EQUIST scenario analysis is the estimation of the actual cost of the strategies to avert the mortality. Redeployment/relocation of existing staff and task-shifting/task sharing are the strategies with the highest costs in Burkina Faso, Nigeria and Senegal. According to Santi and Weigert, the health sector is skilled-labour-intensive and in all countries of the West African region, the increase and effective management of health staff is crucial to the improvement of health systems [25]. Insight from the EQUIST analysis can help to prioritize this domain, of which emphasis must be laid on territorial equity in order to address the human resource shortage in rural areas, where the poorest people live but which still harbour the greatest health risks [25]. EQUIST scenario analysis also showed the cost per capita averting the number of deaths was least in Ghana ($0.39) and highest in Benin ($4.0). This outcome was not a surprise, among the six countries in this study, Ghana had the least total expenditure on health as percentage GDP, least private expenditure on health as percentage of total expenditure on health and least poverty headcount ratio and the best Human Development Index rank [5].
Carrera and colleagues [12] have noted that a better understanding of the effectiveness, impact, and costs of the operational strategies and service delivery modes that can be used to overcome existing bottlenecks (especially those faced by people living in low-income and lower-middle-income countries) is required to ensure that deprived populations receive low cost, high impact interventions.

Study limitation

The major limitation of this study is that it is entirely based on DHS data. The weakness of information collected in DHS are well-established [51, 52]. One important weakness is that virtually all data obtained through DHS is subject to reporting and recall biases. Furthermore, DHS can only measure limited health indicators and health services and so misclassification biases are known to occur and the magnitude of the bias is often unknown and very difficult to correct [51]. As can be seen from this study, some of the DHS information from some of the countries could not be obtained for others due to the challenges associate with data collection process from the various target populations. Despite the limitation, DHS provide valuable and high-quality data base on various of health indicators in LMICs which in many cases are the only reliable source of scientific information for health policymaking and implementation.

Conclusion

Although EQUIST can be described as a valuable tool which can assist decision makers to engage equity-focused approaches to improving MNCH outcomes, the knowledge and application of the tool is not yet wide-spread in LMICs. This study is the first attempt to demonstrate the usefulness of the EQUIST in the provision of scientific evidence on equity–focused approaches to health interventions to improve MNCH outcomes in West Africa. It has been argued that this type of information is very crucial as it supports an evidence-based prioritization of vulnerable populations and priority interventions, as well as an initial understanding of the broad health system issues that will need to be addressed in order to reduce health disparities in a region like West Africa [23].
Throughout the world and especially in LMICs, policy makers and other key stakeholders in the health sector have come to the realization that resources for scaling up cost–effective MNCH interventions in their populations are scarce. Consequently, they are faced with the complex task of identifying and implementing the most efficient and cost-effective interventions that will results to more deaths averted per fixed investment [53, 54]. According to Sridhar and co-workers [51], health investors usually like to know how many deaths (or episodes of disease) could be averted for a fixed level of investment. EQUIST not only provides this vital information but also disaggregates data to reveal inequities that are often masked by national averages [13].
EQUIST will continue to serve as a tool for maximizing the number of lives saved; decreasing health disparities and improving overall cost effectiveness [23]. The importance of this cannot be overstated because even if current rates of decline in under-five mortality are sustained, without additional investment in reaching the poorest, nearly 70 million newborns, infants and young children will still die from preventable causes by 2030 [13]. In this study EQUIST analysis has helped in identifying the country’s populations that are disadvantaged, why they are disadvantaged, and which combination of evidence based high impact interventions and health system strengthening strategies would produce the best results. The West African policymakers will find this very valuable. We recommend EQUIST to national decision makers in LMICs who are interested in conducting an in-depth analysis of the situation of the disadvantaged or underserved populations in their countries. If the national decision makers are also interested in bridging implementation gaps and in the development of policies that are based on a thorough assessment of how the health system is functioning, particularly with regards to producing equitable health outcomes, then EQUIST is highly imperative.

Acknowledgements

Authors wish to thank UNICEF for access to the EQUIST, the user guide and the technical note. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of the UNICEF, WAHO or governments of the countries studied.

Funding

This study was one of the outcomes of the “Moving Maternal, Neonatal and Child Health Evidence into Policy in West Africa” (MEP) project undertaken by the West African Health Organization. The project and publication costs were funded by the International Development Research Centre Canada (Reference: IDRC 107892_001).

Availability of data and materials

The authors confirm that all data underlying the findings are fully available without restriction upon reasonable request, which should be made to the corresponding author.
Ethical clearance for this study was obtained from the University Research Ethics Committee of Ebonyi State University Nigeria (the institution of the principal author) (Ref No: EBSU/UREC/015/10/03).
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Metadaten
Titel
Using equitable impact sensitive tool (EQUIST) to promote implementation of evidence informed policymaking to improve maternal and child health outcomes: a focus on six West African Countries
verfasst von
Chigozie Jesse Uneke
Issiaka Sombie
Henry Chukwuemeka Uro-Chukwu
Ermel Johnson
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
Globalization and Health / Ausgabe 1/2018
Elektronische ISSN: 1744-8603
DOI
https://doi.org/10.1186/s12992-018-0422-1

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