Background
The fifth Millennium Development Goal (MDG) is to improve maternal health. The two main targets for improvement are 1) to reduce the maternal mortality ratio(MMR) by three quarters between 1990 & 2015 and 2) to achieve universal access to reproductive health by 2015 [
1,
2]. Levels of maternal mortality have decreased, but the global maternal mortality ratio declined by only 2.3% per year between 1990 and 2008. This figure is far from what is required to achieve MDG 5 with the aim of an annual decline of 5.5% [
1‐
3].
In spite of the efforts of international developments in maternal health care, maternal deaths and disabilities remain a major public health problem in developing countries. Lack of reliable and up-to-date statistics on maternal deaths also remains a major challenge to the implementation of a master plan in the developing countries to accelerate achieving the Millennium Development Goal related to maternal health (MDG-5) [
2‐
4]. There are 14 countries in the world which have MMR of at least 1,000 per 100,000 live births. In most developing countries where there is no comprehensive registration of deaths, reliability of maternal mortality ratios is still questionable because of lack of medical certification of death [
1,
4].
Maternal mortality is the health indicator which shows the greatest gap between the rich and poor countries. Whereas nine maternal deaths per 100,000 live births have been reported in developed countries, 450 maternal deaths per 100,000 live births occurred in developing countries. Approximately 13,000 maternal deaths occur annually in the Western Pacific Region, with large differences within developing countries (urban–rural, rich-poor) [
5]. By region, the MMR is highest in Africa (830) and some countries of the Western Pacific Region, the Middle East, followed by Asia (330), Oceania (240), Latin America and the Caribbean (190), and is lowest in the developed countries [
1,
6,
7]. In the Lao People’s Democratic Republic, the MMR has been roughly estimated to be 400 – 600 for every 100,000 live births [
4,
8‐
10]. When compared with neighboring countries in South - East Asia, the maternal health indicators for Lao PDR are the worst in the region [
5,
8].
However, despite the high maternal morbidity ratios in many resource-poor settings, maternal deaths are still rare in absolute numbers [
6]. The study of women who survive life-threatening complications related to pregnancy, called maternal near-miss cases, may represent a practical alternative to surveillance of maternal morbidity and mortality [
11]. There have been no official reports of maternal near-miss in the Lao PDR. The Ministry of Health (MOH) of Lao PDR, in cooperation with international agencies, has recently made serious efforts to improve maternal and child health. They have attempted to reduce maternal mortality through implementing new or additional maternal and child health (MCH) service-related activities, such as trained traditional birth attendances (TBA) at the village, trained skill birth attendances (SBA) in the health centers, supported family planning and EPI etc. Despite the efforts, maternal health status was still relatively poor in some areas of the country, and major capacity strengthening is still required in the areas of poor MCH services for instance in mountainous remote areas. Official statistics on MCH indicators have been improving over the past decades, but they remain below international standards. The lack of reliable and up-to-date statistics on maternal deaths and morbidities remains a major challenge for achieving accelerated progress towards the Millennium Development Goal related to maternal health (MDG-5) [
1,
4,
12].
Sayaboury Province is one of the remote, mountainous provinces located in the northwestern Lao PDR. Many villages in the remote areas have limited access to health services during the wet season, especially in the mountainous, remote villages. In its efforts to increase access through village health volunteers and the village revolving drug funds, the provincial health office (PHO) has managed to reach almost all villages in the province to provide primary health care [
8,
12]. An annual report of Sayaboury PHO 2009 showed that 39% of pregnant women delivered in the hospital and 61% delivered at home. Acute obstetric complications were problems for the women living in remote areas, where road access was still difficult. The referral system for pregnant women was ill-equipped, especially when they were high risk for developing complications.
To address the quality of maternal healthcare services in a low resource setting, this study was conducted to determine the incidence and causes of maternal near-misses and deaths in Sayaboury Province, Lao PDR.
Methods
Population and setting
This was a population-based descriptive study to prospectively detect maternal near-misses and maternal deaths in four randomly selected districts from a total of eleven districts in Sayaboury Province during February – November 2011. Two hundred and forty three villages in these four districts were our study sites. These are small villages with a total population of 199,238 people and only 98,164 women. Pregnant women, who had their last normal menstrual period (LMP) between 1 August and 31 December, 2010, were recruited. The LMP range was chosen intending to have enough pregnant women based on the estimated sample size and to follow up the eligible women for their pregnancy outcomes (especially maternal near miss and maternal death). We also had information about those women who aborted before we started data collection from the records routinely collected by traditional birth attendants (TBAs). Exclusion criteria were women who planned to move out of the area during the study period. The eligible women were identified by trained village health volunteers (VHVs) and TBAs under the supervision of health center staff. In cases of uncertainty, pregnancy was confirmed by a urine dipstick test. Recruited pregnant women were home visited daily to detect complication by trained TBAs and VHVs, who lived in the same villages, over the study period. These were not antenatal care visits. They notified health center staff when pregnant women in their villages had abortion or delivery at home. If pregnant women with severe complications (such as severe haemorrhage, dystocia, hypertension etc.) were notified in the villages by trained TBAs or VHVs, the health center staff from the nearest health center went to investigate and confirm the diagnosis of a MNM using case record form (CRF) and referred serious cases to the nearest hospital, which on average was five to ten kilometers away from the village. However in mountainous areas it might take longer time to refer patients to the hospital.
Variables
The primary outcomes were maternal near-misses and maternal deaths. A maternal near-miss (MNM) was a woman who nearly died but survived a complication, which occurred during pregnancy, childbirth or within 42 days of termination of pregnancy. The modified WHO criteria of organ system dysfunctions [
13] as shown in Table
1 were used for the identification of near-misses. Severe maternal outcomes (SMO) were also measured and defined as women who had problem with maternal death or maternal near-miss up to 42 days after giving birth or having an abortion irrespective of gestational age or delivery status.
Table 1
WHO criteria and modified WHO criteria of organ system dysfunctions for detection of maternal near miss (MNM)
1) Cardiovascular dysfunction
|
1) Cardiovascular dysfunction
|
1) Cardiovascular dysfunction
|
Shock | Shock | Shock |
Cardiac arrest | Cardiac Arrest | Cardiac Arrest |
Severe hypoperfusion (lactate >5 mmol/L or >45mg/dL) | Severe hypoperfusion (lactate >5 mmol/L or >45 mg/dL) | |
Severe acidosis (pH<7.1) | Severe acidosis (pH<7.1) |
Use of continuous vasoactive drugs | Use of continuous vasoactive drugs |
Cardio-pulmonary resuscitation | Cardio-pulmonary resuscitation |
2) Respiratory dysfunction
|
2) Respiratory dysfunction
|
2) Respiratory dysfunction
|
Acute cyanosis | Acute cyanosis | Acute cyanosis |
Gasping | Gasping | Severe tachypnea (respiratory rate>40 breaths per minute) |
Severe tachypnea (respiratory rate>40 breaths per minute) | Severe tachypnea (respiratory rate>40 breaths per minute) |
Severe bradypnea (respiratory rate<6 breaths per minute) | Severe bradypnea (respiratory rate<6 breaths per minute) | Severe bradypnea (respiratory rate<6 breaths per minute) |
Severe hypoxemia | Severe hypoxemia |
(O2 saturation <90% for _60 min or PAO2/FiO2<200) | (O2 saturation <90% for _60min or PAO2/FiO2<200) |
Intubation and ventilation not related to anaesthesia | Intubation and ventilation not related to anaesthesia |
3) Renal dysfunction
|
3) Renal dysfunction
|
3) Renal dysfunction
|
Oliguria non responsive to fluids or diuretics | Oliguria non responsive to fluids or diuretics | Oliguria non responsive to fluids or diuretics |
Severe acute azotemia | Severe acute azotemia | |
(creatinine >300umol/ml or >3.5 mg/dL) | (creatinine >300umol/ml or >3.5mg/dL) |
Dialysis for acute renal failure | Dialysis for acute renal failure |
4) Coagulation dysfunction
|
4) Coagulation dysfunction
|
4) Coagulation/Hematologic dysfunction
|
Failure to form clots | Failure to form clots | Excessive bleeding per vagina |
Severe acute thrombocytopenia | Severe acute thrombocytopenia |
(<50,000 platelets/ml) | (<50,000 platelets/ml) |
Massive transfusion of blood or red cells (≥5 units) | Massive transfusion of blood or red cells (≥5 units) |
5) Hepatic dysfunction
|
5) Hepatic dysfunction
|
5) Hepatic dysfunction
|
Jaundice in the presence of pre-eclampsia | Jaundice in the presence of pre-eclampsia | Jaundice in the presence of pre-eclampsia |
Severe acute hyperbilirubinemia (bilirubin>100 umol/L or > 6.0 mg/dL) | Severe acute hyperbilirubinemia (bilirubin>100 umol/L or > 6.0 mg/dL) | |
6) Neurologic dysfunction
|
6) Neurologic dysfunction
|
6) Neurologic dysfunction
|
Prolonged unconsciousness or coma (lasting >12 hours) | Prolonged unconsciousness or coma (lasting >12 hours) | Prolonged unconsciousness or coma (lasting >12 hours) |
Stroke | Stroke | Stroke |
Uncontrollable fit/status epilepticus | Uncontrollable fit/status epilepticus | Global paralysis |
Global paralysis | Global paralysis |
7) Uterine dysfunction
|
7) Uterine dysfunction
| |
Uterine infection or haemorrhage leading to hysterectomy | Uterine infection or haemorrhage leading to hysterectomy | |
Data collection
During February – November 2011, at communities information of pregnancy outcomes, and clinical criteria for the assessment of organ system dysfunctions, such as severe tachypnea (respiratory rate > 40 breaths per minute) or severe bradypnea (respiratory rate < 6 breaths per minute, etc. were collected by the trained health center staff using the pre-established case record form (CRF). All completed CRFs were sent to the head of the maternal and child health (MCH) district office for rechecking and then forwarded to the provincial MCH division. In cases of abortion, the completed CRFs were sent to the provincial MCH division together with a monthly report. Pregnant women, who were referred to the hospitals because of serious complications or intended to deliver their babies in the district or provincial hospital, were followed up until delivery or termination of pregnancy by responsible staff at the district and provincial hospitals.
At the district and provincial hospitals information of pregnancy outcomes and the assessment of clinical criteria, laboratory-based and management-based criteria of organ system dysfunctions of all pregnant women up to 7th day after delivery were collected by trained head of nurse in the gynecology-obstetric wards, and MCH staff at health center or VHV in the village continued to follow- up these women until 42 days after delivery. The completed CRFs at the district and provincial hospitals were sent to the provincial MCH unit together with a monthly report. Maternal deaths were investigated by the heads of district or provincial MCH divisions using the pre-designed investigation form.
Statistical analysis
The sample size of 1,100 pregnant women was calculated from the SMO rate of 2.3% estimated from the medical records of 6,643 total deliveries in the maternity services of Sayaboury Province in 2009 with a precision of 40% of the estimate and 95% confidence interval.
Descriptive statistics, such as means and standard deviations for continuous variables, and proportion for categorical variables, were used to describe baseline characteristics. The maternal complications, maternal near-misses (MNMs), maternal deaths (MDs) and severe maternal outcomes (SMOs) were estimated using proportions and their 95% confidence intervals (CIs). The analysis was performed using SPSS version 17.
Ethical approval and participant informed consent
The study was approved by the declaration of personnel and organization department, Ministry of Health (MOH) of Lao PDR. N° 253 on 5 February 2011, declaration of Sayaboury provincial health office [PHO] N° 290, and Khon Kaen University Ethics Committee for Human Research (HE542067). This research is part of PhD study on maternal near-miss and maternal mortality ratio in Sayaboury Province, Lao PDR. All participants were written informed consent for participation in the study. Pregnant women under 18 years old were signed informed consent by their parent.
Discussion
Our results represent an investigation of maternal mortality and maternal near-miss based on the prospective data collection in both community and local hospitals in the Lao PDR. The presence of organ system dysfunction criteria recommended by the WHO (respiratory, cardiovascular, renal, hepatic, neurologic dysfunctions) were used for the identification of near-miss cases. We found MNM ratio of 9.8 (95% CI: 4.9 -17.5) per 1,000 live births, MMR of 179 (95% CI: 50–650) per 100,000 live birth, both of which appear to be surprisingly low.
For the MMR our finding was quite comparable to the recent study conducted in the North-Western Border of Thailand where the MMR was 184 (95% CI:150–230) per 100,000 live births [
14]. The other comparable result of MMR of 158 per 1,000 live births was reported in the study of maternal mortality estimation at the sub-national level in Bangladesh [
15]. Both studies were done in Asian countries similar to Lao PDR.
However, our finding was much lower than those reported in previous studies conducted in other developing countries in other regions. One population based survey of maternal mortality in West Africa found MMR of 311 per 1,000 live births [
16]. Another retrospective hospital based study found the MMR of 432 per 1,000 live births in a rural hospital in Sudan [
17]. The present study was population based, with prospective data collection in both the community and local hospitals. Retrospective data collection in a central or general hospital (tertiary care) in the previous studies would give higher numbers of maternal death, because of differences in the study population; mothers who gave birth in those hospitals came from unlimited catchment areas and higher proportion of complicated cases [
16,
17].
To some extent, our findings can be explained in the context of the present conditions of MCH and other health services in Sayaboury Province, where the environment was different from the previous studies. Altogether, 629 village health volunteers and 573 traditional birth attendants have been trained in maternal and child care for all villages, and they are regularly supervised and attend refresher training [
12]. In addition, the health system has been receiving both technical and financial support from international agencies since 1984for the MCH services at all levels. Our findings are consistent with the trend in MMR of Lao PDR reported from 1990 to 2010 by WHO, et al. [
18]. The estimates MMR per 100,000 live births were 1,600 in 1990 and 470 in 2010 with a 70% reduction between the two years. The trend is progress towards improving maternal health according to the MDG 5 [
18].
Although there were difficulties in transferring patients to the provincial hospital during the wet season, the geography of the province is such that all its districts share a border with Thailand and some with Vientiane Province. When an emergency occurs, there were options for seeking care in a neighboring country or in Vientiane Capital City. The above reasons may account for the low maternal mortality found in our study compared to those suggested by the national statistics [
4,
5] and previous studies in developing countries [
11,
16,
17].
The present study also found a maternal near-miss ratio of only 9.8 per1, 000 live births which was much lower than those in previous studies. Souza et al. reported the MNM ratio of 34.3 per 1,000 live births in the WHO global survey on maternal and perinatal health done in 120 of eight Latin American countries [
7]. Almerie et al. reviewed cases of maternal near- miss and maternal mortality in a maternity university hospital, Damascus, in Syria [
6] and reported the MNM ratio of 32.9 per 1,000 live births. A prospective study in Ghana showed the MNM ratio of 28.6 per 1000 live births in a teaching Hospital (KBTH) [
19]. Ali et al. reported the MNM ratio of 21.1 per 1,000 live births in a rural hospital in Sudan [
17]. The reasons for our lower ratio may be because the previous studies were hospital-based and tend to have higher ratios because of the higher proportion of complicated cases than our community-based study. However our result was quite similar to the report of the WHO Multicounty Survey on Maternal and Newborn Health [
20] which presented the ratio of 8.3 per 1, 000 live births. In addition, it was little higher than that of Jabir et al. reported the ratio of 5.06 per 1,000 live births in Baghdad, Iraq [
21].
The rates of maternal near-miss may differ when using different identification criteria. A one year retrospective chart review study of medical records of 1,163 obstetric hospital admissions of a tertiary maternity hospital in Rio de Janeiro, Brazil was conducted in 2013 [
22]. It underlined that different approaches entail different estimates of MNM. The maternal near-miss ratio was 27 per 1,000 live births using WHO maternal near-miss criteria compared with 123 per 1,000 live births of using the Waterston criteria. Furthermore a systematic review of the prevalence of maternal near miss by Tunçalp, et al. [
23] reported the rates of maternal near-miss varied between 0.04% and 4.54% for management-based criteria and between 0.14% and 0.92% for organ-based dysfunction based criteria. The prevalence using different criteria were higher in low-income and middle-income countries of Latin America and Africa [
22,
23].
Our finding of maternal near-miss detected may be underestimated. There are several possible reasons for this. Firstly, maternal near-miss was a new marker of health and obstetric care in our setting. The local co-coordinators (VHV, TBA, MCH health center staff) might have difficulties in understanding the concept and process of MNM identification and led to miss some MNM in the communities. Secondly, limitation of the MCH staff and facilities at the district hospitals might be the important factors that did not allow investigators to apply full WHO criteria to detect a maternal near-miss. This was due to a number of factors: (a) the laboratories at the district hospitals had a limited capacity to confirm near-miss cases; (b) the supply of donated blood was inadequate; in the four study hospitals only the provincial hospital had a blood bank, although two district hospitals did have blood stores; and (c) there was a lack of medical equipment and alternative facilities for the care of severely ill patients at the district hospitals. Only the provincial hospital had an intensive care unit. As a consequence, some cases were probably not classified as near-misses because the severity of their condition was unable to be confirmed by the existing facilities.
One significant finding in this study is the very high proportion (7 from 11) of MNMs occurred early in pregnancy, 2 cases related to abortion complication and 5 caused of ectopic pregnancy. Maternal and child health care providers and policy makers should be informed about this important cause of MNM.
They were 9% (8/90 abortions) of all abortion and ectopic pregnancies. This figure was lower than that of 11.1% (61/549 abortions) found in a surveillance network study to identify severe maternal complications associated with abortion in 27 referral obstetrics units across regions of Brazil [
24].
Requirement of the complexity of care could be estimated from the MNM incidence and SMO ratio. The higher values, the greater the extent to which women require high complexity care Our findings show the mortality index (MI) was 15% compared to 8.5%of Cecatti et al. who evaluated maternal near miss using WHO criteria and maternal death related to organ failure in Brazil [
25]. van den Akker et al. reported a MI of 12% in their study evaluating maternal near miss using organ-failure based criteria as a tool in Southern Malawi [
26].The mortality index (MI) represents an estimate of performance. It is recommended that an institute with high index (>20%) may have inadequate quality of obstetric care for the severe cases [
24]. Although we had small maternal index in our setting, we could not be sure that there is adequate quality of obstetric care for the severe cases in Sayabury Province. There is lack of resources for obstetric care, such as blood bank, operation room, etc. in many district hospitals of the province. The maternal near-miss: mortality ratio (MNM: 1 MD) was 5.5:1.The ratio can provide direct information on problems related to care of severity obstetric complication and could be used as marker of obstetric care [
24].
Strength of the study
This was the first population-based descriptive study involving a follow-up of pregnant women since the date of their last menstrual period until within 42 days after termination of pregnancy in order to identifying the incidence of MNM and MD in both the community and local hospitals in Lao PDR. The WHO clinical criteria of organ systems dysfunction were used for the identification of near-miss cases, allowing potential international comparisons. Its main strengths were the use of trained PHC workers (TBAs and VHVs) and health center staff to regularly screen eligible pregnant women in the villages and carry out the follow-up of complication cases to detect maternal near-misses and record maternal mortality. The early detection of maternal complication cases in the community and their referral to hospitals for prompt treatment were used to the maximum possible extent to reduce the number of maternal deaths. The follow-up model used in our study is expected to have implications, which will be benefit to women in developing countries.
Limitations
The study was designed to identify near-misses and maternal deaths in both the community and the local hospitals. However, the WHO standard criteria for the identification of maternal near-misses could not be used in the community, TBAs in the village and local coordinator at the health centers might have limited knowledge to confirm MNMs. In addition, the district hospitals had limited resources for assessing organ dysfunctions, such as limited supply of blood and laboratory facilities. These factors might cause an underestimation of near-miss rates. The maternal near-misses could have been underestimated by the application of the WHO definition of a near-miss which relies on good laboratory and management-based criteria. These potential limitations are consistent with those presented in study of Cecatti et al. [
25]. van den Akker et al. used WHO MNM approach studied at Malawi [
26] and the study of Nelissen et al. by applying WHO maternal near-miss criteria in low resources setting in rural hospital Tansania [
27].
Implications
The future development of maternal health services (MHS) should include an upgrading of the capacities of MCH services in local hospitals and ways of improving these services in local health centers so that local MHS staff and midwives are better able to recognize and respond to the important factors associated with SMOs. This study was, in essence, a pilot project for the detection of maternal near-misses and maternal deaths in Lao PDR. Using the lessons learnt from this study, it is proposed that the Lao Ministry of Health should consider a nation-wide study of maternal near-misses, for the future development of maternal health services and also for further health research on MCH data collection in poorly resourced areas, especially in the remote provinces of Lao PDR.
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Competing interests
The authors declare that they have no competing interest.
Authors’ contributions
LP is the first author, responsible for conceptualization, study design, conducted data collection, data analysis, interpretation and prepared manuscript. ML is academic main advisor, supported in conceptualization, study design, conducted data collection, data analysis, interpretation and manuscript reading and revisions. PL and MHB are co-advisors, participated in support on conceptualization, study design and manuscript reading and revisions. All authors read and approved the final manuscript.