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Erschienen in: BMC Pregnancy and Childbirth 1/2017

Open Access 01.12.2017 | Research article

Institutional maternal and perinatal deaths: a review of 40 low and middle income countries

verfasst von: Patricia E. Bailey, Wasihun Andualem, Michel Brun, Lynn Freedman, Sourou Gbangbade, Malick Kante, Emily Keyes, Edwin Libamba, Allisyn C. Moran, Halima Mouniri, Dahada Ould el Joud, Kavita Singh

Erschienen in: BMC Pregnancy and Childbirth | Ausgabe 1/2017

Abstract

Background

Understanding the magnitude and clinical causes of maternal and perinatal mortality are basic requirements for positive change. Facility-based information offers a contextualized resource for clinical and organizational quality improvement. We describe the magnitude of institutional maternal mortality, causes of death and cause-specific case fatality rates, as well as stillbirth and pre-discharge neonatal death rates.

Methods

This paper draws on secondary data from 40 low and middle income countries that conducted emergency obstetric and newborn care assessments over the last 10 years. We reviewed 6.5 million deliveries, surveyed in 15,411 facilities. Most of the data were extracted from reports and aggregated with excel.

Results

Hemorrhage and hypertensive diseases contributed to about one third of institutional maternal deaths and indirect causes contributed another third (given the overrepresentation of sub-Saharan African countries with large proportions of indirect causes). The most lethal obstetric complication, across all regions, was ruptured uterus, followed by sepsis in Latin America and the Caribbean and sub-Saharan Africa. Stillbirth rates exceeded pre-discharge neonatal death rates in nearly all countries, possibly because women and their newborns were discharged soon after birth.

Conclusions

To a large extent, facility-based findings mirror what population-based systematic reviews have also documented. As coverage of a skilled attendant at birth increases, proportionally more deaths will occur in facilities, making improvements in record-keeping and health management information systems, especially for stillbirths and early neonatal deaths, all the more critical.
Abkürzungen
AMDD
Averting Maternal Death and Disability
EmONC
emergency obstetric and newborn care
ENAP
Every Newborn Action Plan
ICD-10
International statistical classification of diseases and related health problems, 10th edition
ICD-MM
The WHO application of ICD-10 to deaths during pregnancy, childbirth, and the puerperium (maternal mortality)
MDSR
Maternal death surveillance and response
MMR
Maternal mortality ratio
SDG
Sustainable Development Goal
UNFPA
United Nations Population Fund
UNICEF
United Nations Children’s Fund
WHO
World Health Organization

Background

Post Millennium Development Goal global action agendas such as the Sustainable Development Goals (SDGs), Every Newborn Action Plan (ENAP) and Ending Preventable Maternal Mortality continue to measure global progress to reduce the maternal mortality ratio (MMR), the neonatal mortality rate, and now (under ENAP guidance) the stillbirth rate [13]. Understanding the magnitude and clinical causes of maternal and perinatal mortality are basic requirements for policy setting, program design, innovation testing, and the implementation of evidence-based interventions. Understanding maternal and newborn outcomes captured at health facilities presents an opportunity for health care staff and decision-makers to reflect on what they could do better.
High quality data on how many maternal and newborn deaths occur and their causes are notoriously difficult to come by and global estimates come from complex models based on multiple sources: vital registration data, confidential enquiries, large household surveys, reproductive-age mortality studies, research reports, surveillance data, and verbal autopsies [48]. Over the last few decades the Maternal Mortality Estimation Inter-Agency Group produced a series of maternal mortality estimates [7, 9, 10], the Global Burden of Disease Studies contributed important systematic analyses of trends, projections, and causes of maternal and child mortality [6, 11, 12], while the World Health Organization (WHO) produced two systematic analyses of the global causes of maternal death [13, 14]. The authors of these comprehensive systematic reviews shy away from using routine health facility data because of inherent selection bias. However, in the 2003–2009 WHO systematic analysis, the authors consulted health facility data when the institutional delivery rate in that country was 50% or greater during the period reviewed [14].
Globally, the coverage of skilled attendant at birth increased from 59% in 1990 to 71% in 2015 [15]. More countries are adopting a 100% institutional delivery policy and institutional delivery rates are rising. This shift means that proportionately more individuals with peripartum and perinatal complications will access treatment, and mortality events, when they happen, are more likely to occur in facilities than at home. In low and middle income countries facility-based maternal and perinatal mortality figures do not yet substitute population-derived estimates as they reflect only those women and newborns who succeed in accessing facility-based care. Facility-based events are highly specific to local contextualized conditions, and thus, are well-suited to inform local policy makers, clinicians and programs to target specific health system strengthening efforts. Most importantly, they can be used to improve service quality. As the SDGs bring a renewed global focus on improving the quality of routine health management information systems, through the Health Data Collaborative and other initiatives, and as they include the use of new technologies, data quality and availability will increase and the cost of collecting data will decrease.
This paper reviews data from up to 40 low and middle income countries and describes the magnitude of institutional maternal mortality, causes of maternal death and cause-specific case fatality rates, as well as institutional stillbirth and early or pre-discharge neonatal death rates, in most cases, at the national level. This analysis draws on reports produced over the last decade.

Methods

This secondary data analysis is based on a review of cross-sectional health facility surveys known as emergency obstetric and newborn care (EmONC) assessments, which focus on routine intrapartum care for women and their newborns as well as more complicated births. These assessments have been driven by the United Nations Fund for Population (UNFPA), the United Nations Children’s Fund (UNICEF), the WHO, and the Averting Maternal Death and Disability (AMDD) program at Columbia University. The methods have been described elsewhere, but a summary follows [16, 17].

Sampling

Most EmONC assessments were national in scope and targeted facilities providing childbirth services. As a rule, all hospitals were selected, and if a “census” of childbirth sites was not possible, hospitals were supplemented by either a random sample of mid-level facilities (health centers, clinics), or a “restricted census” of higher volume mid-level facilities that attended more than a specified number of monthly deliveries. Usually, both private and public sector facilities were included. Table 1 shows the number of hospitals and other facilities surveyed in each country and the population size covered by the facilities visited.
Table 1
EmONC assessment characteristics and facility-based rates and ratios (40 countries)
Region, country and year of data collection
Population covered
No. of health facilities providing delivery services
No. of hospitals
No. of other facilities
Institu-tional deliveries (12 mo.s)
Expected births (12 mo.s)
Institu-tional delivery rate
Percentage of deliveries with obstetric complica-tionse
Institutional maternal deathsf (12 mo.s)
Institu-tional MMR
MMR (2015)
LAC
 Ecuador 2006a
690,049
9
9
0
8863
NR
NR
30.0%
7
79
64
 Guyana 2010
751,223
51
32
19
12,803
14,724
87.0%
7.1%
19
148
229
 Haiti 2009
9,761,927
120
59
61
65,731
294,034
22.4%
20.8%
170
259
359
 Nicaragua 2006
5,626,493
167
20
147
94,136
176,409
53.4%
7.2%
41
44
150
 Panama 2007
2078,446
19
11
8
30,811
52,310
58.9%
7.5%
21
68
94
Western Africa
 Benin 2010
8,497,827
417
34
383
203,412
349,856
58.1%
11.8%
483
237
405
 Burkina Faso 2010
15,224,781
1626
61
1565
499,753
697,295
71.7%
9.6%
676
135
371
 Cote d’Ivoire 2010
21,693,185
1419
86
1333
342,936
790,776
43.4%
13.7%
1416
413
645
 Gambia 2012
1,839,447
98
8
90
51,518
69,899
73.7%
10.7%
169
328
706
 Ghana 2010
24,232,431
1268
285
983
434,508
751,205
57.8%
20.1%
840
193
319
 Guinea 2011
11,211,223
502
49
453
141,724
438,293
32.3%
8.3%
459
324
679
 Liberia 2010
3,709,850
304
27
277
46,841
159,524
29.4%
11.7%
335
715
725
 Mauritania 2011
3,297,000
254
18
236
83,409
159,533
52.3%
5.0%
132
158
602
 Niger 2010
15,203,822
503
36
467
152,415
677,352
22.5%
11.7%
1165
970
553
 Senegal 2013
12,873,601
560
29
531
237,494
496,921
47.8%
5.0%
1020
429
315
 Sierra Leone 2008a
5,532,000
145
38
107
25,447
254,472
10.0%
11.4%
212
833
1360
 Togo 2012
6,191,155
864
46
818
133,119
202,451
65.8%
10.7%
225
169
368
Eastern Africa
 Burundi 2010
8,246,878
274
48
226
231,293
323,278
71.5%
4.5%
220
95
712
 Djibouti 2005
636,540
16
7
9
11,636
22,289
52.2%
24.4%
22
189
229
 Eritrea 2008b
3,543,578
118
18
100
25,000
NR
26.0%
22.3%
41
164
501
 Ethiopia 2008–9
73,918,505
751
112
639
174,561
2,638,891
6.6%
13.9%
685
392
353
 Madagascar 2009
19,378,009
294
147
147
118,774
647,226
18.4%
17.4%
357
301
353
 Malawi 2014c
15,805,239
365
87
278
476,272
790,262
60.3%
8.4%
586
123
634
 Mozambique 2012g
23,569,908
947
56
891
647,944
895,656
72.3%
4.3%
1840
284
489
 Rwanda 2007a,h
8,934,215
407
39
368
207,738
384,171
54.1%
3.4%
294
142
290
 South Sudan 2013
10,864,357
407
63
344
52,842
456,303
11.6%
10.2%
497
941
789
 Zanzibar 2012a
1,460,987
79
43
36
27,102
54,057
50.1%
9.3%
62
229
NR
 Zambia 2014-15c
15,023,315
384
118
266
475,646
644,500
73.8%
5.0%
759
160
224
Central Africa
 Angola 2007
18,176,685
400
84
316
248,187
872,481
28.4%
12.5%
1410
568
477
 Cameroon 2010
15,544,387
607
123
484
282,486
615,558
45.9%
11.4%
744
263
596
 Chad 2011
11,679,974
139
57
82
49,202
520,927
9.4%
9.3%
1048
2130
856
 Congo 2012
4,085,422
240
32
208
85,038
170,362
49.9%
5.1%
246
289
442
 Dem Rep Congo 2011
15,421,731
266
69
197
158,546
616,869
25.7%
10.8%
282
178
693
 São Tomé & P 2013
178,739
6
1
5
5455
6166
88.5%
3.2%
6
110
156
Southern Africa
 Lesotho 2015
1,954,906
160
22
138
43,165
58,197
74.2%
8.1%
66
153
487
 Namibia 2005
2,028,238
100
41
59
44,592
62,875
70.9%
6.7%
57
128
265
Asia
 Afghanistan 2009
23,500,000
78
69
9
192,627
993,840
19.4%
12.9%
258
134
396
 Bangladesh 2012d
43,667,450
846
234
612
253,728
NR
NR
17.3%
377
149
176
 Cambodia 2014
13,388,910
180
91
89
119,931
382,830
31.3%
8.2%
57
48
161
 Mongolia 2009
1,139,462
21
21
0
31,012
27,448
113.0%
28.3%
10
32
44
NR not reported, LAC Latin America and the Caribbean, MMR maternal mortality ratio, mo months, MMR (2015) see reference [7]
aEcuador, Democratic Republic of Congo, Rwanda, São Tomé and Príncipe, Sierra Leone and Zanzibar reported only direct maternal deaths
bEritrea: 25,000 deliveries are live births, based on 2006 data, not EmONC assessment; institutional delivery rate also not based on EmONC assessment
cMalawi and Zambia: deaths and deliveries weighted; in Malawi unweighted deliveries = 367,738 and unwt deaths = 557; in Zambia, unweighted deliveries = 254,790 and unwt deaths = 673
dBangladesh health facilities that performed cesareans were considered hospitals; if not, considered “other”. Sample included 24 districts
eComplications included only major direct obstetric complications (hemorrhage, severe pre-eclampsia/eclampsia, sepsis, prolonged/obstructed labor, severe abortion complications, ruptured uterus, ectopic pregnancy)
fMaternal deaths include all maternal deaths (direct, indirect and unknown causes)
gMozambique: Based on 3 months of data, multiplied by 4 to show 12 months, for consistency across countries
hRwanda: Based on 6 mo.s of data for facility births, complications and deaths, multiplied by 2 to show 12 months of data, for consistency across countries

Primary data collection instruments

In each country, a core team adapted a set of standardized instruments that covered the availability and status of infrastructure, human resources, drugs, equipment, and supplies, and service statistics, in addition to a provider interview and chart reviews [18]. Most relevant to this paper was the 12-month retrospective summary of service statistics that included the number of deliveries, women experiencing obstetric and non-obstetric complications by type of complication, maternal deaths by cause, and birth outcomes. Data collectors extracted data from logbooks in labor and delivery wards, maternity wards, operating theatres, and newborn care units in each facility. When any doubt or clarification was required, data collectors turned to the staff on duty.
Definitions of causes of maternal death were informed by the international statistical classification of diseases and related health problems, 10th edition (ICD-10) and its application to deaths during pregnancy, childbirth and the puerperium (ICD-MM). Obstetric complications were elaborated upon to distinguish between antepartum and postpartum hemorrhage and retained placenta. Prolonged and obstructed labor were included, sometimes joined as one category. Ruptured uterus and ectopic pregnancy along with postpartum sepsis, severe pre-eclampsia and eclampsia were the final “major direct complications” listed on the instrument. Indirect complications included malaria, HIV/AIDS, severe anemia, and less commonly, hepatitis and diabetes. In each case, the form included a category for “other” direct complications and “other” indirect complications. Causes of death mirrored the listing of complications. Finally, space permitted the reporting of unspecified/unknown causes of maternal death. For the 12-month summary of maternal deaths, the data collectors were guided by the primary sources they located on the wards or with the staff. Where maternal death audits or reviews took place, those records were also accessed, but generally no subsequent recoding was performed.
The 12-month retrospective compilation of service statistics was also designed to test the intrapartum and early neonatal death rate as an indicator of intrapartum care quality [19]. Data extraction from maternity or delivery registers captured the number of antepartum (macerated) and intrapartum (fresh) stillbirths, defined by 28 weeks of gestation or more. Intrapartum stillbirths and live births were divided between those weighing above and below 2500 g. Early neonatal deaths were defined as those occurring before discharge or within the first 24 h, whichever came first. Countries varied widely as to level of detail captured, and thus, categories were added for unspecified stillbirths and birth weights when the timing of death or birth weight was not recorded, and for live births and early neonatal deaths when birth weight was not recorded.
These categories for maternal and newborn outcomes were standardized across countries. Data collectors were trained to use a manual with the same definitions for each obstetric complication, type of stillbirth and early neonatal death.

Secondary analysis

EmONC assessment final reports were the source of most of the data compiled in this paper; we had access to primary data in nine countries, but only in two or three situations did we access those data. Because reporting was largely driven by country interests, not all reports contained the same information nor was it presented in a standardized fashion. Consequently, the number of countries in each table differs. For example, some countries did not report the major obstetric complications by type of complication, making it impossible to calculate cause specific case fatality rates. One report candidly reported that the number of maternal deaths was grossly underreported and was not included. Other countries presented the intrapartum and pre-discharge neonatal death rate as recommended, restricting the numerator and denominator to babies weighing 2500 g or more, but they failed to report all stillbirths, nor did they report the number for which birth weight or stillbirth timing was unspecified; these data were not included in the paper. A small number of countries reported only direct maternal deaths, omitting the number of unspecified/unknown maternal deaths or indirect deaths; these reports were retained. Some countries distinguished between antepartum hemorrhage and postpartum hemorrhage, while others reported the two together.
About 10 of the 40 countries had conducted more than one EmONC assessment. In all cases, we extracted information from the most recent report except for Ethiopia, whose final report for their most recent assessment was not yet available.
Based on numbers drawn from the reports, we calculated the percentage of deliveries with obstetric complications and the institutional maternal mortality ratio, using 100,000 deliveries rather than live births since some countries only counted deliveries. We also calculated any regional aggregations, newborn mortality rates, and the ratio of stillbirths to early neonatal deaths. The case fatality rate was calculated by dividing the number of maternal deaths due to a specific complication by the number of complications treated. The stillbirth rate was estimated by dividing the total number of stillbirths by all deliveries (multiplied by 1000); the pre-discharge neonatal mortality rate was similar but we removed the deliveries resulting in a stillbirth from the denominator.

Data collection and management

Ministries of Health provided oversight to all EmONC assessments and were usually supported by a technical steering committee. Public or private research institutions, universities, or central statistical offices were the most common implementing bodies for the assessments. Data collection teams usually consisted of four data collectors, generally having a health background. Data collectors participated in a weeklong training that included a review of each questionnaire, role plays, and exercises to familiarize themselves with the questionnaires and the data collectors’ manual. Each training included a one-day field activity in local hospitals and health centers where teams completed the questionnaires under supervision. Generally, quality assurance teams closely monitored the first week or two of field activities. Teams usually required one to two days to complete a hospital and half a day to complete a health center.
Data collection was paper-based for all countries but one, and data entry performed with CSPro. Report analyses were produced with statistical software such as STATA, SPSS or sometimes excel. When mid-level facilities were sampled, the data were weighted based on selection probability. Weighting is required to account for the non-uniform selection probabilities that would affect how data from selected facilities represent all facilities, including those not selected.
Technical support was provided by consultants to the AMDD program. Countries varied by the intensity of support – from no direct AMDD support (Ecuador, Panama, Cote d’Ivoire, Eritrea), to minimal remote support (Mongolia, Cambodia, Afghanistan), to most countries with more intensive support. UNFPA and UNICEF were the predominant supporters for EmONC assessments but bilateral partners and foundations also played important roles depending on the country.

Ethical concerns

Names of women or other identifying information were never included in the primary data collection. Countries followed the guidance of their ministries of health and when required, approval of the protocols and data collection instruments from local institutional review boards was obtained. No additional approval was sought for this paper since the primary source of the data were reports in the public domain.

Results

Up to 40 country reports (including Zanzibar) provided the number of maternal deaths that took place within health care institutions, 31 from sub-Saharan Africa, and the remaining nine from Latin America and the Caribbean and Asia (Table 1). The scope of EmONC assessments ranged from all nine hospitals in the province of Azuay, Ecuador to 1626 facilities in Burkina Faso, inclusive of all facilities with at least one delivery in the past 12 months. The total number of facilities (15,411) registered 6.5 million deliveries and 17,314 maternal deaths. To contextualize the number of institutional maternal deaths and associated MMR, we included the institutional delivery rate and the percentage of institutional deliveries with a major direct obstetric complication. Both indicators were derived from EmONC assessment data. The final column includes the 2015 population-based MMR estimated by the Maternal Mortality Estimation Inter-Agency Group [7], also included for context, although most assessments occurred before 2015. Institutional delivery rates ranged from 7% in Ethiopia in 2008–9 to 113% in Mongolia (likely explained by a non-standard sampling strategy of 21 hospitals and their catchment areas). The next highest institutional delivery rate was 88% in São Tomé & Príncipe. Institutional MMRs ranged from 2130 maternal deaths per 100,000 deliveries in Chad to 32 in Mongolia.
Countries with relatively low coverage of institutional deliveries such as Haiti, Niger, Sierra Leone, Ethiopia, South Sudan, Angola, and Chad tended to have high institutional MMRs, suggesting that a disproportionate number of women delivering in facilities experienced serious complications. To some extent, the percentage of deliveries with major obstetric complications supports this pattern where high percentages were found in countries with high institutional MMRs. However, countries such as the Democratic Republic of Congo or Afghanistan also exhibited relatively low institutional delivery rates, 10% or more of deliveries with complications, and had institutional MMRs of less than 200, making it difficult to discern any robust pattern. A high percentage of complicated deliveries could also reflect the type of facility surveyed, e.g. Ecuador (30%) and Mongolia (28%), where only hospitals were assessed.

Causes of institutional maternal deaths and cause specific case fatality rates

Figure 1 shows the distribution of all reported causes of maternal death for 38 countries. In 20 countries, hemorrhage and hypertensive diseases (severe pre-eclampsia/eclampsia) approached or exceeded 40% of maternal deaths. Similarly, 10 countries reported similar levels of indirect causes of maternal death.
Only 33 countries reported the number of women with major obstetric complications by type of complication, found in the regional summaries of Table 2 (upper panel). In the Latin America and Caribbean region, hypertensive disorders ranked first (41% of direct maternal deaths), while hemorrhage ranked first in sub-Saharan Africa (33%) and Asia (42%). The lower panel shows that in sub-Saharan Africa 61% of maternal deaths were attributable to direct causes, 35% to indirect causes and 4% were unspecified or unknown, while Latin America and the Caribbean and Asian regions were weighted towards a larger proportion of direct causes of death.
Table 2
Numeric and percent distribution of direct obstetric complications and all maternal deaths by cause and region (33 countries)
 
All regions
Latin America & the Caribbeana
Sub-Saharan Africab
Asiac
 
Complications
Deaths
CFR
Complications
Deaths
CFR
Complications
Deaths
 
Complications
Deaths
CFR
 
n
%
n
%
n
%
n
%
n
%
n
%
CFR
n
%
n
%
Direct complications/causes
 Hemorrhage
183,232
26%
2902
33%
1.6%
5202
11%
50
23%
1.0%
149,093
28%
2588
33%
1.7%
28,937
26%
264
42%
0.9%
 Hypertensive disease
71,658
10%
1689
19%
2.4%
9441
19%
90
41%
1.0%
47,993
9%
1470
19%
3.1%
14,224
13%
129
21%
0.9%
 Abortion
65,594
9%
653
8%
1.0%
3837
8%
20
9%
0.5%
42,548
8%
598
8%
1.4%
19,209
17%
35
6%
0.2%
 Postpartum sepsis
16,363
2%
815
9%
5.0%
969
2%
11
5%
1.1%
13,994
3%
793
10%
5.7%
1400
1%
11
2%
0.8%
 Obstr/prolong labor
154,648
22%
773
9%
0.5%
6037
12%
7
3%
0.1%
128,099
24%
722
9%
0.6%
20,512
18%
44
7%
0.2%
 Ectopic pregnancy
13,732
2%
211
2%
1.5%
727
1%
6
3%
0.8%
10,756
2%
200
3%
1.9%
2249
2%
5
1%
0.2%
 Ruptured uterus
8727
1%
719
8%
8.2%
122
0.2%
3
1%
2.5%
7786
1%
695
9%
8.9%
819
1%
21
3%
2.6%
 Other
185,241
26%
929
11%
0.5%
22,639
46%
30
14%
0.1%
136,907
25%
786
10%
0.6%
25,695
23%
113
18%
0.4%
 Total
699,195
100%
8691
100%
1.2%
48,974
100%
217
100%
0.4%
537,176
100%
7852
100%
1.5%
113,045
100%
622
100%
0.6%
 Direct causes
  
8691
63%
   
217
82%
   
7852
61%
   
622
89%
 
 Indirect causes
  
4660
34%
   
33
13%
   
4556
35%
   
71
10%
 
 Unspecified causes
  
539
4%
   
12
5%
   
518
4%
   
9
1%
 
 TOTAL
  
13,890
100%
   
262
100%
   
12,926
100%
   
702
100%
 
Note: CFR Case fatality rate; “other” direct complications included premature rupture of membranes, malpresentation, preterm labor, post-term labor, previous cesarean delivery, cord prolapse, multiple gestations and others. “Other” direct deaths include embolism, anesthesia complications, and others
aIncludes Ecuador, Guyana, Haiti, Nicaragua and Panama
bIncludes Benin, Gambia, Ghana, Guinea, Liberia, Mauritania, Niger, Senegal, Togo, Burundi, Djibouti, Eritrea, Ethiopia, Malawi, Mozambique, South Sudan, Zambia, Angola, Cameroon, Chad, Congo, São Tomé & Príncipe, Lesotho and Namibia
cIncludes Afghanistan, Bangladesh, Cambodia and Mongolia
Ruptured uterus had the highest cause-specific case fatality rate in each region, ranging from 8.9% in sub-Saharan Africa to 2.5% in the Latin America and Caribbean region. In other words, for every 100 women with a ruptured uterus in sub-Saharan Africa, 9 will die. The second highest specific cause of death was postpartum sepsis in sub-Saharan Africa (5.7%) and in Latin America and the Caribbean (1.1%), while in Asia, hypertensive diseases and hemorrhage tied for second (0.9%).
Seventeen sub-Saharan African countries reported the number of indirect complications and deaths due to malaria in pregnancy, HIV/AIDS, severe anemia and other indirect causes of death. A few countries reported sickle cell anemia, hepatitis and diabetes, but most countries placed these women in the category of “other” indirect complications; 68% of indirect complications were malaria-related, 13% to HIV/AIDS, 7% to anemia, and 12% to “other indirect” complications. Less than 1% of indirect complications reported were cases of sickle cell anemia, hepatitis or diabetes, but more than a third of pregnant or recently delivered women with hepatitis or diabetes died before discharge (underreporting of survivors was likely). The case fatality rate for anemia was 2.3%, 1.0% for HIV/AIDS, 0.5% for malaria, and 1.6% for “other” indirect complications (data not shown).
Figure 2 depicts the cause-specific case fatality rates for direct obstetric complications, organized by countries within regions. Hashed bars indicate a case fatality rate based on small numbers. Angola, Chad, Congo Brazzaville, Guinea, Mauritania, Senegal, and South Sudan experienced high rates (≥4%) across three or more complications.

Institutional stillbirth and pre-discharge early neonatal mortality rates

Twenty-three countries calculated stillbirth and pre-discharge early neonatal death rates, nine of which did not distinguish between antepartum and intrapartum stillbirths, while two countries calculated only a pre-discharge perinatal mortality rate (Table 3 and Fig. 3). Stillbirth rates ranged from 5.8 per 1000 deliveries in Mongolia, to 116.5 in Madagascar. Pre-discharge neonatal death rates were often much smaller than the stillbirth rates except for Mongolia. Early neonatal death rates ranged from 1.8 in Guinea to 21 in Bangladesh. The ratio of stillbirths to early neonatal deaths varied widely across countries, ranging from the outlier ratios of 26 and 25 stillbirths to 1 pre-discharge neonatal death in Madagascar and Guinea to 0.7 to 1 in Mongolia. Mongolia had the lowest institutional and population-based MMR and the lowest stillbirth rate, but its pre-discharge early neonatal death rate was similar to that of many countries, and begs for an explanation – a question of sampling or quality of newborn care?
Table 3
Institutional stillbirth and pre-discharge early neonatal mortality rates (23 countries)
Region, country and year of data collection
Institu-tional deliveries
Ante-partum SBs
Intra-partum SBs
Unspe-cified SBs
Total SBs
SB rate per 1000 deliveries
pNDs
pND rate per 1000 live births
SB:pND ratio
LAC
 Guyana 2010
12,803
70
67
89
226
17.7
65
5.2
3.5
 Nicaragua 2006
94,136
NR
NR
NR
1210
12.9
889
9.6
1.4
Western Africa
 Gambia 2012
51,518
1023
944
66
2033
39.5
433
8.8
4.7
 Ghana 2010
434,508
3989
4685
1223
9897
22.8
2201
5.2
4.5
 Guinea 2011
141,724
1944
1457
3639
6040
42.6
242
1.8
25.0
 Niger 2010
152,415
1171
4105
1072
6348
41.6
545
3.7
11.6
 Senegal 2013
237,494
3761
3345
2078
9184
38.7
1439
6.3
6.4
 Togo 2012
133,119
974
1728
1150
3852
28.9
634
4.9
6.1
Eastern Africa
 Eritrea 2008
25,000
NR
NR
NR
933
37.3
185
7.7
5.0
 Ethiopia 2008–9
174,561
NR
NR
NR
7366
42.2
522
3.1
14.1
 Madagascar 2009
118,774
NR
NR
NR
13,832
116.5
527
5.0
26.2
 Malawi 2014
476,272
3632
4403
NR
8035
16.9
5028
10.7
1.6
 Mozambique 2012a
647,944
828
3440
8200
12,468
19.2
1380
2.2
9.0
 Rwanda 2007a
207,738
17,456
5618
NR
23,074
11.1
9432
5.1
2.4
 South Sudan 2013
52,842
208
541
373
1122
21.2
948
18.3
1.2
 Zambia 2014–15
475,646
NR
NR
NR
11,233
23.6
1980
4.3
5.7
Central Africa
 Chad 2011
49,202
274
814
NR
2155
43.8
239
5.1
9.0
 Congo 2012
85,038
657
856
219
1732
20.4
264
3.2
6.6
 Dem Rep Congo 2011
156,546
NR
NR
NR
5949
38.0
1271
8.4
4.7
Asia
 Afghanistan 2009
192,627
NR
NR
NR
4177
21.7
1422
7.5
2.9
 Bangladesh 2012
253,728
NR
NR
NR
8119
32.0
5158
21.0
1.6
 Cambodia 2014
119,931
92
715
NR
807
6.7
479
4.0
1.7
 Mongolia 2009
30,131
NR
NR
NR
175
5.8
242
8.1
0.7
NR not reported, SB stillbirth, pND pre-discharge early neonatal death, dying before discharge or within the first 24 h, whichever came first
aMozambique and Rwanda adjusted to reflect 12 months of information

Discussion

This institutional assessment compiles data from many countries where every country set out with similar objectives, used a similar methodology and data collection instrument, and had common indicators. By design, each assessment captured a complete recording of all maternal deaths by cause and common perinatal outcomes. This is a strength that other multi-country studies have not shared. In this overview, we gathered service statistics from more than 15,400 health care facilities that mirror findings from more complex modeling exercises, regardless of differences in methodology and reference populations.
We saw hypertensive diseases as the predominant cause of institutional maternal death in the Latin America and Caribbean region and hemorrhage highlighted in Asian countries, despite the small number of surveys in each of those regions. Meanwhile, hemorrhage was the predominant cause of institutional maternal deaths in sub-Saharan African countries, a region also distinguished by its large proportion of indirect maternal deaths.
In Table 4 below we compare the overall distribution of institutional causes of 14,785 deaths from 26 sub-Saharan African countries with the population-based distribution found in the WHO 2003–2009 systematic review (in both cases, unknown causes of death were excluded). Cases of ruptured uterus and obstructed labor were included in “other direct causes” for the EmONC Assessments while these cases were likely assigned to hemorrhage or sepsis in the WHO study [14]. The degree of similitude in the distribution of causes is both validating and reassuring but may also point to possible data quality issues and/or differences between all deaths versus just those occurring in facilities.
Table 4
Comparison of causes of maternal mortality in sub-Saharan countries by different sources
For sub-Saharan African countries
EmONC Assessments (institution-based)
WHO 2003–2009 Review (population-based)
Hemorrhage
21.0%
24.5%
Abortion + ectopic pregnancy
7.2%
9.6%
Sepsis
6.0%
10.3%
Hypertensive diseases
10.5%
16.0%
Other direct causes
17.8%
11.1%
Indirect causes
37.5%
28.6%
The larger proportion of indirect causes found in this paper is noteworthy but it also may be underreported especially where comorbidities were common. During the training, data collectors were instructed to classify a maternal death as direct if there was evidence of both direct and indirect causes. For programmatic purposes, indirect causes of maternal mortality require a greater focus of attention, not just for purposes of reporting but also for health service delivery organization to intervene early to prevent these deaths.
We also observed that institutional stillbirth rates tended to be substantially higher than early neonatal death rates, and that countries with high institutional stillbirth rates also tended to exhibit high institutional MMRs. According to other studies, we might have expected the ratio of stillbirths to early neonatal deaths to be approximately 1.3 to 1, but these institutional data suggest a lower ratio, i.e., more stillbirths than expected [20, 21]. Unfortunately, given the uneven reporting of whether the stillbirth was macerated or intrapartum, the often-cited ratio of 1 intrapartum stillbirth to 3 macerated stillbirths could not be assessed [22].
The 2030 ENAP target for the stillbirth rate is 12/1000 total births and the target neonatal death rate is the same, but among live births. At this time, most countries in this overview are far from reaching the stillbirth target and many countries would fail to reach the neonatal target of 12, although this is more difficult to ascertain given the censoring of data since so many women and their newborns are discharged within 12 h of delivery. A recent six-country study of early neonatal mortality showed that neonatal deaths in the first six and 24 h account for one-third and 46%, respectively, of all neonatal deaths [23]. Therefore, a doubling or tripling of the early neonatal deaths observed in this overview might provide a rough estimate of the actual neonatal death rate. But like the MMR, it is unclear whether institutional rates and ratios are likely to be higher or lower than the population-based rates. Nevertheless, high stillbirth rates observed in the EmONC assessments give pause; the global stillbirth rate for 2015 was 18.4 per 1000 births, while the rate for sub-Saharan Africa was 28.7 [4]. According to the authors of recent trend data for stillbirth rates, when compared to high quality vital registration data, facility data tend to overestimate the stillbirth rate due to selection bias [4, 5].
Despite evidence for reductions in maternal and perinatal mortality over the last two decades, this multi-country overview leads to recommendations for clinical practice and policy if we are to move towards the goal of ending preventable maternal and newborn deaths. From the clinical perspective, although fewer in absolute numbers than hemorrhage or hypertensive disorders, uterine rupture and maternal sepsis were the most lethal complications. The literature consistently shows the elevated risk of mortality from ruptured uterus [2427]. High case fatality rates for uterine rupture suggest poor diagnostic skills, inadequate patient monitoring after admission and delays in appropriate treatment [28], or perhaps inappropriate or overuse of augmentation or induction. Several studies point to high rates of rupture after admission [25, 29]. Ruptured uterus is also an indication that women with obstructed labor or at risk of rupture, e.g. having a previous uterine scar, still experience difficulties in accessing surgical care in a timely manner.
Considerable international investment has focused on reducing deaths due to hemorrhage and hypertensive disorders, given how many deaths are attributable to these complications. Both have well-known pharmacological solutions as well as effective preventative measures with active management of the third stage of labor and the potential to detect high blood pressure and proteinuria during antenatal care. Ruptured uterus might be viewed as requiring more complex multi-sectoral fixes – improved road networks, better communication and transportation options, as well as the human resources who can and will monitor the progression of labor, follow protocol, and perform cesarean delivery. Sepsis may require more of a professional culture change towards infection prevention, more accessible water, sanitation and hygiene infrastructure as well as antenatal screening.
To optimize the investment of an EmONC assessment, it should be followed by multilevel planning and implementation phases. In 2016, only six of the countries mentioned in this publication have set up such processes that include maternal and newborn care monitoring in EmONC facilities (Burkina Faso, Cambodia, Haiti, Madagascar, Niger and Togo). However, this number is likely to increase significantly in 2017. The production, analysis and utilization of data by providers with the support of coaches also contribute to improve quality of care.

Limitations

Without access to the original data, we could not standardize reporting nor could we stratify by level of facility or management authority, which would have allowed a deeper understanding of which deaths occurred where and how many. There may also have been bias in how causes of death were ascertained across countries although training guidelines were the same across most countries. It is possible that some countries were more comfortable than others using ICD-MM. Going forward, EmONC assessments should better align the cause of death categories with ICD-MM, thus making these data more attractive as an additional source for global estimates.
Systematic documentation of stillbirths is at an early stage in many low and middle income countries and the differentiation between antepartum and intrapartum stillbirths is not yet standard practice across or within countries. Like maternal deaths, stillbirth rates and early neonatal death rates are susceptible to errors of omission and misclassification [30]. Especially critical may be widespread misclassification of early neonatal deaths as intrapartum stillbirths due to lack of diagnostic skill, environmental pressure or convenience. Countries such as Madagascar, Guinea and Ethiopia that exhibited an extreme ratio of stillbirths to early neonatal deaths should investigate these rates to understand possible contributory clinical and reporting practices. Caregivers need access to simple equipment to measure the presence of fetal heart beats on admission, training to make accurate assessments and the paper or electronic tools that encourage reporting whether the fetal death was antepartum or intrapartum [31]. As long as large numbers of stillbirths and birth weights remain unspecified, the use of the intrapartum and early neonatal death rate as an indicator for quality of intrapartum care will be compromised or relegated to the status of a special study.
The recording of maternal deaths is likely to be incomplete given the primary sources of the statistics – routine paper-based logbooks – the extended coverage of 12 months, and for unintentional and intentional reasons. Obstetric complications are also likely to be undercounted as they are rarely collected by routine health management information systems. Specific case fatality rates suggest inconsistent reporting and recording across facilities and countries. For example, the case fatality rate of 1% for HIV in sub-Saharan Africa was surprisingly low as were the case fatality rates of 0% for hemorrhage in Ecuador, and 0% for obstructed labor in Ghana, Togo and the Gambia. Nevertheless, by supporting the EmONC assessments we have learned that registers and logbooks tend to be more complete than facility reports of aggregated data. We also observed that where maternal death surveillance and response (MDSR) initiatives were well entrenched, the quality of the maternal death data in the EmONC assessments appeared to be of higher quality than where MDSR efforts were in their early stages. As countries adopt Making Every Baby Count: Audit and Review of Stillbirths and Neonatal Deaths, routine data on newborn outcomes are likely to improve in quality as will our understanding of why deaths occur and how to intervene.

Conclusions

As skilled delivery coverage increases and maternal mortality declines, women who die in facilities may no longer represent the tip of an iceberg, but most maternal deaths. With appropriate reflection, institutional stillbirth and early neonatal death rates, causes of maternal death and case fatality rates can guide management on how to improve health workers’ capacity to meet the demand for emergency care, including record-keeping, and identify hotspots of where and what is needed to reduce delays in seeking, reaching and receiving care. Facility-level data will become all the more important and thus efforts to improve data quality are crucial.

Acknowledgements

We would like to acknowledge two persons who extracted most of the data from the published reports – Lauren Hart and Carolyn Huang, who at the time were affiliated with the MEASURE Evaluation Phase IV Project at the University of North Carolina, and we thank internal reviewers Catherine Todd and Donna McCarraher for their helpful reviews as well as external reviewers.

Funding

The United States Agency for International Development (USAID) funded the preparation of this publication through a cooperative agreement (GHA-A-00-08-00003-00) with the MEASURE Evaluation Phase IV Project under a contract with FHI 360. The manuscript represents the views of the authors and does not represent the views of USAID or the US Government. The funders had no role in the design of the study, the collection, analysis, and interpretation of data, or the writing of the manuscript.

Availability of data and materials

Data sharing is not applicable as most of the data were extracted from EmONC assessment reports that are in the public domain. There is no centralized archive for assessment datasets, but may be available from country Ministries of Health and UNFPA or UNICEF country offices. Specific reports can be requested from the authors.
The authors did not seek approval from an internal review board for this secondary data analysis since the primary sources of the data were reports in the public domain, based on surveys that had already undergone ethical approval. Names of women or other identifying information were never included in primary data collection. Countries followed the guidance of their ministries of health or the research institutions that carried out the surveys, and when required, approval of the protocols and data collection instruments from local institutional review boards was obtained.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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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
Institutional maternal and perinatal deaths: a review of 40 low and middle income countries
verfasst von
Patricia E. Bailey
Wasihun Andualem
Michel Brun
Lynn Freedman
Sourou Gbangbade
Malick Kante
Emily Keyes
Edwin Libamba
Allisyn C. Moran
Halima Mouniri
Dahada Ould el Joud
Kavita Singh
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Pregnancy and Childbirth / Ausgabe 1/2017
Elektronische ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-017-1479-1

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