Trends in health facility based maternal mortality in Central Region, Kenya: 2008-2012
Onesmus Maina Muchemi, Agnes Gichogo, Jane Githuku Mungai, Zeinab Gura Roka
The Pan African Medical Journal. 2016;23:259. doi:10.11604/pamj.2016.23.259.8262

Create an account  |  Sign in
African Case Studies Case studies in Public health
"Better health through knowledge sharing and information dissemination "

Research

Trends in health facility based maternal mortality in Central Region, Kenya: 2008-2012

Cite this: The Pan African Medical Journal. 2016;23:259. doi:10.11604/pamj.2016.23.259.8262

Received: 22/10/2015 - Accepted: 20/03/2016 - Published: 29/04/2016

Key words: Trends, distribution, maternal mortality, causes of death

© Onesmus Maina Muchemi et al. The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Available online at: http://www.panafrican-med-journal.com/content/article/23/259/full

Corresponding author: Onesmus Maina Muchemi, Kenya Ministry of Health, Kenya (onesmuchemi@yahoo.com)


Trends in health facility based maternal mortality in Central Region, Kenya: 2008-2012

Onesmus Maina Muchemi1,2,&, Agnes Wangechi Gichogo2, Jane Githuku Mungai1,2, Zeinab Gura Roka1,2

 

1Kenya Ministry of Health, Kenya, 2Field Epidemiology and Laboratory Training Program, Kenya

 

 

&Corresponding author
Onesmus Maina Muchemi, Kenya Ministry of Health, Kenya

 

 

Abstract

Introduction: WHO classifies Kenya as having a high maternal mortality. Regional data on maternal mortality trends is only available in selected areas. This study reviewed health facility maternal mortality trends, causes and distribution in Central Region of Kenya, 2008-2012.

 

Methods: we reviewed health records fromJuly 2008 to June 2012. A maternal death was defined according to ICD-10 criterion. The variables reviewed included socio-demographic, obstetric characteristics, reasons for admission, causes of death and contributing factors. We estimated maternal mortality ratio for each year and overall for the four year period using a standard equation and used frequencies means/median and proportions for other descriptive variables.

 

Results: a total 421 deaths occurred among 344,191 live births; 335(80%) deaths were audited. Maternal mortality ratios were: 127/100,000 live births in 2008/09; 124/100,000 live births in 2009/2010; 129/100,000 live births in 2010/2011 and 111/100,000 live births in 2011/2012. Direct causes contributed majority of deaths (77%, n=234) including hemorrhage, infection and pre-eclampsia/eclampsia. Mean age was 30(±6) years; 147(71%) attended less than fourantenatal visits and median gestation at birth was 38 weeks (IQR=9). One hundred ninety (51%) diedwithin 24 hoursafter admission. There were 111(46%)caesarian births, 95(39%) skilled vaginal,31(13%) unskilled 5(2%) vacuum deliveries and 1(<1%) destructive operation.

 

Conclusion: the region recorded an unsteady declining trend. Direct causes contributed to the majority deaths including hemorrhage, infection and pre-eclampsia/eclampsia. We recommendhealth education on individualized birth plan and mentorship on emergency obstetric care. Furtherstudiesare necessary to clarify and expand the findings of this study.

 

 

Introduction    Down

The fifth millennium development goal aimed to improve maternal health with a target of reducing the maternal mortality ratio by 75% between 1990 and 2015. The total global maternal deaths declined from 523,000 in 1990 to 289,000 in 2013. The lifetime risk of dying during pregnancy and child birth in Africa is 1 in 40. The most dangerous place for a woman to have a baby is in sub-Saharan Africa [1]. According to WHO, the main causes of maternal deaths in the world include pre-existing medical conditions (diabetes, malaria, HIV, obesity) exacerbated by pregnancy ,severe bleeding, pregnancy-induced high blood pressure, infections mostly after child birth, obstructed labor and other direct causes, abortion complications and blood clots [2]. In comparison, the main causes of maternal death in Africa are hemorrhage, other indirect causes, sepsis/infections, hypertensive disorders, HIV/AIDS, unclassified deaths, other direct causes, obstructed labor, abortion, anemia, embolism, and ectopic pregnancy [3]. In Kenya, Maternal Mortality Ratio (MMR) was 390 deaths per 100,000 in 1993 and increased to 488 deaths per 100,000 in 2008/09 [4-7]. Kenya is therefore classified by WHO as making ‘insufficient progress’ towards achievement of the MDG since the average annual decline has been less than 2% [1]. According to a report by Kenyan Ministry of Health on reviewing causes of maternal deaths from 1994-2010, the leading causes are antepartum and postpartum hemorrhage. Other common causes include eclampsia, sepsis, raptured uterus and obstructed labor in that order [8]. There has been several interventions and strategies in Kenya’s health policy since 1994 intended to reverse the deteriorating health indicators including maternal health [8,9]. In Kenya, maternal death reviews were introduced in 2004. However, the reviews faced challenges including serious underreporting of maternal deaths, incomplete data, lack of understanding of health staff on the value of reviews and lack of evidence of specific actions after review meetings [10]. Nationally, there exists a maternal and perinatal death surveillance system, which was practiced in central regionin the period under review. Despite the efforts, systems for data analysis for decision making are weak, including documentation oftrends, distribution and causes of maternal deaths to guide interventions and evaluate their impacts at the subnational level. Analyzed information is important to provide baseline mortality ratios, document trends, highlight specific causes of maternal deaths and identify specific contributing factors.This study therefore aimed to determine the trends in maternal mortality in the central region of Kenya from 2008-2012, determine the main causes of death and their contributing factors and describe the characteristics of pregnant women who died in health facilities.

 

 

Methods Up    Down

The study took place in Central region, one of the eight regions in Kenya (Figure 1). Theregion constitutes offive Counties including Kiambu, Murang’a, Nyeri, Kirinyaga and Nyandarua.The overall total fertility rate for the region was 3.4, rate of skilled deliveries was 73.8%, family planning coverage was 66.7% and antenatal attendance was 92.7% [7]. The study population comprised of women who had given birth in health facilities in the region during the study period. We conducted adescriptive retrospective study of maternal deaths reported from the health facilities in the region between 1st July 2008 and 30th June 2012. A maternal death was defined as any death of a woman while pregnant or within 42 days of termination of pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes (ICD-10). We retrieved data from paper-based and electronic records of maternal death notification and review forms, the monthly district reproductive health reports and the annual reports. The variables extracted included: age, parity, antenatal attendance, gestation, mode of delivery, status of the baby at birth, mother’s status on admission, reasons for admission, timing of death since admission, stage of pregnancy on admission, stage of pregnancy at death, the reported cause of death and the contributing factors. We excluded incomplete variables including marital status, educational level, details of antenatal care, delivery care and newborn care. For each maternal death reported, we verified the presence of filed maternal death review forms as an essential indication of whether the death had been audited. For reviewed and audited deaths we examined each variable to check for inconsistencies and missing data and errors were corrected. The proportion of audited deaths was then calculated.Live births were similarly recorded and using a standard equationan estimation of maternal mortality ratio was determined for each year and an overall for the four year period. We calculated the frequencies, proportions, measures of central tendency and dispersion and presented the results in tables and figures.A unique key was used as the identifier. Confidentiality was maintained during data collection, storage, analysis and publication. Permission to undertake the study was granted by the regional health management team.

 

Recommendations: our findings suggest opportunities to prevent further maternal deaths by targeting three main direct causes, including hemorrhage, infection and pre-eclampsia/eclampsia.To reduce further mortality, a number of interventions are necessary. First, we need to focus health education in health facilities during antenatal visits and through community health volunteers on promoting individualized birth plan. Second, emergency obstetric care should focus on hemorrhage, sepsis and pre-eclampsia/eclampsia and health workers should be able to manage these emergencies adequately. Third, we need to implement a mentorship strategy in maternity facilities on obstetric signal functions and immediate and targeted postpartum care. Further studies are necessary to clarify and expand the findings of this study.

 

 

Results Up    Down

A total of 421 maternal deathsmet the case definition among 344,191 live births.The overall maternal mortality ratio was 122 per 100,000 live birthsfor the four year periodwhile the annual maternal mortality ratio was 127/100000 livebirths in 2008/09; 124/100,000 in 2009/2010; 129/100,000 in 2010/2011 and 111/100,000 in 2011/2012. (Figure 2) of the 421 notified deaths,335 (80%) had been audited and documented in a maternal death review (MDR) report (Table 1). Two hundred and thirty-four (77%) of the deaths reported were due to direct causes, while 70(23%) were due to indirect causes. The direct causes of death included hemorrhage (40%, n=135), infection (13%, n=44), pre-eclampsia/eclampsia (12%, n=41), abortion (3%, n=10), amniotic embolism (3%, n=9) and disseminated intravascular coagulation (3%, n=9). The indirect causes included HIV/AIDS (5%, n=20), anemia (4%, n=12), cardiovascular disorders (4%, n=12), pulmonary embolism or embolism (3%, n=9), anesthesia complications (3%, n=9) and tuberculosis (2%, n=8) (Table 2). First delay was the commonest contributing factor to maternal death (67%, n=111) followed by third delay (31%, n=51) and second delay was the least contributing factor (24%, n=39). The causesof first delay were; delay in woman seeking help (12%, n=41); ignorance of available services (10%, n=33); failure to recognize danger signs (10%, n=32) and poverty (4%, n=14). The second delay was caused by; lack of communication or transport from home to health facility (4%, n=14) and lack of communication or transport between health facilities (3%, n=11). Deaths due to third delay were mainly contributed by lack of blood transfusion (5%, n=18), lack of skills (2%, n=8), inappropriate or delayed interventions (2%, n=6), lack of expertise (1%, n=5), lack of intensive care unit (1%, n=5) and lack of equipment or supplies (1%, n=4). Notified maternal deaths varied by the five counties in Central region: 158 (47%) from Kiambu County, 63(19%) from Nyeri, 50(15%) from Nyandarua, 38(11%) from Murang’a and 25(7%) from Kirinyaga County. The case deaths had a mean age of 30(±6)years. Two hundred sixteen (69%) deaths occurred in the age-group 20 to 34 years. One hundred ninety-two(69%)deaths occurred among women with less than three children. The median gestationwas 38weeks (IQR=9), with 141(57%)being in the 37-42 weeks category. The median hospital stay was 18 hours (IQR=65 hours) before the occurrence of death.One hundred forty-four (45%) mothers were admitted antepartum, 87(27%) intrapartum,57(18%) in puerperium, 28(9%) had experienced an abortion, 5(<1%) were dead on arrival and 1(<1%) had suffered ectopic pregnancy. One hundred sixty-one(51%) were admitted in stable condition, 147(47%) were critically ill, while 5(2%) were dead on arrival. At the time of death, 196(61%) motherswere in the puerperal stage of pregnancy. One hundred sixty-nine (57%) had attended at least one antenatal visit, while 57(20%) had not attended any antenatal care. However, 147(71%) had attended less than four antenatal visits.There were 111(46%) caesarian births, 95(39%) skilled spontaneous vaginal deliveries, 31(13%) unskilleddeliveries, 5(2%) vacuum deliveries and 1(<1%) destructive operation. There were 163 (69%) live births, 61(26%) still births, 12 (5%) neonatal deaths, while 1(<1%) was unborn (Table 3). One hundred ninety (59%)mothers died within 24 hours after admission (Figure 3). Among those who died within 24 hours, 89(47%) weredue to hemorrhage, 27(14%) eclampsia, 11(6%) infection and 8(4%) abortion, while those that died more than 24 hours after admission 15(12%) died due to HIV/AIDS.

 

 

Discussion Up    Down

In this analysis, the maternal mortality remained fairly the samefrom July 2008 to June 2011 and registered a decline between July 2011 to June 2012, with an overall ratio of 122/100,000 live births in the four year period.Direct causes contributed majority deaths including bleeding, infection and pre-eclampsia/eclampsia. Slightly less than halfof the maternal deaths were reported from Kiambu County. More than half died within the first 24 hours after admission, majority of whom died of hemorrhage. Approximately two-thirds were aged 20 to 34 years and almost two-thirds had less than three living children. Slightly less than half were admitted during the antepartum period. However, approximately two-thirds diedafter delivery. Majority of the women were between 37 and 42 weeks of pregnancy at the time of delivery. A half had been admitted while in stable condition. Almost three-quartershad attended less than four antenatal visits, with a fifth having not attended antenatal care. The mainmode of delivery was caesarian section. Approximately two-thirds of the mothers had delivered live babies. We determined that central region had an overallhealth facility basedmaternal mortality ratio of 122/100,000 live births. This was consistent with the facility based mortality ratio of 122/100,000 for this regiondocumented in the 2009 Kenya census population analysis report [11]. A report from 2008 annual health sector report documented a facility based mortality ratio of 126/100,000 live births [12]. The MDG acceleration framework (MAF) of 2012 estimated that the MMR in central region to be around 100/100,000 [13]. The estimate in Central region is lower compared to the national estimate of 488/100,000 [7]. and slightly below the national target of 147/100,000 [8]. The decline observed in 2011/2012 in Central region could possibly have occurred due to a true decline or an underreporting during the period. Most women died of direct (obstetric) causes. This was consistent with other findings [14-17]. In contrast, a study done in Western Kenya identified that most women had died of indirect (non-obstetric) causes [18]. This means that direct obstetric complications are important causes of death in Central region. Themajority of women died within the first 24 hours after admission. A similar finding was observed in Rift Valley Provincial General Hospital, where slightly over a half had died within 24 hours following admission [16]. This finding points to likelihood of gaps in emergency obstetric care in Central region. Most deaths occurred among women between 20 and 34 years. This was consistent with other findings[17,18].

 

However, in Moi teaching and referral hospital and in the Nakuru general hospital higher deaths in younger age group were documented [15,16]. Maternal deaths occurred mainly among women between 37 and 42 weeks of pregnancy. In contrast, the findings in the Moi Teaching and Referral Hospitalfound that majority of the women were less than 36 weeks gestation. In the same hospital most mothers had attended less than four antenatal visits [15]. More than half the women had less than three living children.The deaths occurred mainly in Kiambu County. This can be explained by the fact that 37% of the population in the region resides in the County [19]. In addition, it could probably mean that in comparison to other Counties in the region, the County had a higher burden of health facility-based maternal mortality. This study had several limitations. Secondary dataused in the analysis,was prone to variations in data quality across facilities including incomplete entries. We also relied on the accuracy in the doctor’s assessment of the cause of death and documentation of the time of death. In this study, hospital stay was measured to the nearest one hour. A date that did not have time recorded was assumed to have been mid-day or mid-night depending on what time came earlier between time of admission and the time of death. Where gestation was recorded as ‘term’, gestation was assumed to have been 40 weeks, and in cases where the mother was already postpartum at the time of admission, the record for the gestation was left ‘blank’, because gestation at birth was not available for verification. Despite the limitations, this study has made an important contribution on the estimates of facility-based maternal mortality for central region which is important in determining baselines. It similarly establishes a locally appropriate understanding of the main causes of death and their contributing factors in the region that is important in guiding prevention efforts. In particular, the study findings contribute to the body of knowledge and the understanding of the causes of maternal mortality and their contributing factors.

 

 

Conclusion Up    Down

We therefore concluded that Central region had a moderate health facility based maternal mortality with an unsteady declining trend. Direct obstetric complicationsare the most important causes of death in the region. They include hemorrhage, infection and pre-eclampsia/eclampsia. First and second delays are important contributing factors. Mothers mainly die within the first 24 hours following delivery especially due to hemorrhage. Kiambu County contributes the highest burden of maternal deaths in the region. The mothers who die are mainly in the 20-34 years age group, have two or less number of children, are in the 37-42 weeks gestation and have attended less than four ANC visits.

What is known about this topic

  • Maternal mortality is the leading cause of death among women of reproductive age in Kenya.
  • Hemorrhage is the main cause of death.
  • Systems for data analysis for decision making to guide interventions and evaluate their impacts are weak at all levels.

What this study adds

  • This study estimates facility-based maternal mortality ratio and determines the trend for central region of Kenya, which is important in determining baselines and in making decisions to guide interventions.
  • The study establishes a locally appropriate understanding of the main causes of death and their contributing factors in central region of Kenya.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors’ contributions Up    Down

Onesmus Maina Muchemi: development of study protocol, data retrieval and line listing, data management and analysis and manuscript writing. Agnes Wangechi Gichogo: data retrieval and line listing. Jane Githuku-Mungai and Zeinab Gura Roka: guidance and supervision during the entire study process, manuscript review and correction.

 

 

Acknowledgments Up    Down

We wish to acknowledge the health care workers and management of Central region, Kenya, for whom we benefitted enormously from their dedicated work in reporting maternal deaths in the maternal and perinatal death surveillance system. We are grateful to the Field Epidemiology and Laboratory Training Program (FELTP, Kenya) for their training and mentorship.During the writing of the manuscript we received statistical skills from Alfred Musekiwa and guidance about scientific writing and critical review of the manuscript fromDorothy L Southern.

 

 

Tables and figures Up    Down

Table 1: trends in facility-based maternal mortality, Central Region, Kenya: 2008-2012

Table 2: causes of maternal deaths in Central Region, Kenya, 2008-2012

Table 3: socio-demographic and obstetric characteristics of maternal deaths in Central Region, Kenya, 2008-2012

Figure 1: sap showing Central region, Kenya, 2009

Figure 2: trends in facility-based maternal mortality, Central Region, Kenya, 2008-2012

Figure 3: duration from admission to death among women who died of maternal related causes in health facilities in Central Kenya, 2008-2012

 

 

References Up    Down

  1. World Health Organization. Trends in maternal mortality: 1990 to 2013. Estimates by WHO, UNICEF, UNFPA, the World Bank and the United Nations Population Division. 2014. Google Scholar

  2. World Health Organization. Saving Mothers’ Lives. World Health Organization. 2014. Google Scholar

  3. Khan KS, Wodjdyla D, Say L, Gulmezoglu AM, Van Look PFA. WHO analysis of causes of maternal death: a systematic review. Lancet. 2006;367:1066-74. PubMed | Google Scholar

  4. Central Bureau of statistics (Kenya), Ministry of Health (Kenya), and ORC Macro. Kenya Demographic and Health Survey 1993. Central Bureau of statistics (Kenya). Calverton, Maryland; 1994. Google Scholar

  5. Central Bureau of statistics (Kenya), Ministry of Health (Kenya), and ORC Macro. Kenya Demographic and Health Survey 1998. Central Bureau of statistics (Kenya). Calverton, Maryland, 1999. Google Scholar

  6. Central Bureau of statistics (Kenya), Ministry of Health (Kenya), and ORC Macro. Kenya Demographic and Health Survey 2003. Calverton, Maryland, USA. 2004 Jul. Google Scholar

  7. Kenya National Bureau of Statistics (KNBS) and ICF Macro. Kenya Demographic and Health Survey 2008-09. Kenya National Bureau of Statistics. Calverton, Maryland, 2010 Jun. Google Scholar

  8. Kenya Health Policy Framework 1994-2010: analysis of performance. Analytical review of health progress, and systems performance. Nairobi, Kenya: Analysis Technical Working Group, Health Policy Review Committee of the HSSC. Google Scholar

  9. Reversing the trends. The second health sector strategic plan of Kenya: annual operation plan 6 july 2010- july 2011. Ministry of Public Health and ministry of medical services Technical planning/coordination departments. 2010. Google Scholar

  10. Division of reproductive health, Kenya. National Guidelines for Maternal and Perinatal Death Notification and Review. Division of reproductive health, Kenya. 2009. Google Scholar

  11. Government of Kenya. Kenya Population Situation Analysis. Government of Kenya. 2013. Google Scholar

  12. Division of Health Management Information Systems. Annual health sector statistics report 2008. Division of Health Management Information Systems. Nairobi, Kenya, 2009 Jul. Google Scholar

  13. United Nations Development Program. MDG acceleration framework; Improving maternal health in Kenya [Internet]. NEW YORK, NY 10017 USA; 2012 Sep [cited 2015 Jan 4]. Available from: http://www.undp.org/maf. Google Scholar

  14. Bauni E,Mochamah G,Ndila C, Makazi A, Kosgei P, Kapesa S, Nyutu G, Williams TN. Maternal mortality in a rural community in coastal Kenya: insights from verbal autopsy(VA) in the Kilifi Health and Demographic Surveillance System(KHDSS). African Journal of Health Sciences. 2013 Jan 8. Google Scholar

  15. Yego F, Williams JS, Byles J, Nyongesa P, Aruasa W, D’Este C. A retrospective analysis of maternal and neonatal mortality at a teaching and referral hospital in Kenya. Reproductive Health. 2013;10(13). PubMed | Google Scholar

  16. Juma EA, Odiyo FN. Maternal mortality occurring at the Rift Valley Provincial GeneralHospital, Nakuru. East Afr Med J. 2000;77(7):382-5. PubMed | Google Scholar

  17. Oyieke JB, Obore S, Kigondu CS. Millennium development goal 5: a review of maternal mortality at the Kenyatta National Hospital, Nairobi. East Afr Med J. 2006 Jan;83(1):4-9. PubMed | Google Scholar

  18. Desai M, Phillips-Howard PA, Odhiambo FO, Katana A, Ouma P, Hamel MJ, et al. An analysis of Pregnancy-Related Mortality in the KEMRI/CDC Health and Demographic Surveillance System in Western Kenya. PloS ONE. 2013;8(7). PubMed | Google Scholar

  19. Kenya National Bureau of Statistics (KNBS). The 2009 Kenya population and housing census. Kenya National Bureau of Statistics (KNBS). 2010 Aug. Google Scholar

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


The Pan African Medical Journal articles are archived on Pubmed Central. Access PAMJ archives on PMC here

Volume 27 (May - August 2017)

Article tools

Rate this article

Altmetric

Popular articles in Research

PAMJ is a member of the Committee on Publication Ethics

PAMJ is published in collaboration with the African Field Epidemiology Network (AFENET)
Currently tracked by: DOAJ, AIM, Google Scholar, AJOL, EBSCO, Scopus, Embase, IC, HINARI, Global Health, PubMed Central, PubMed/Medline, Ulrichsweb, More to come . Member of COPE.

ISSN: 1937-8688. © 2017 - Pan African Medical Journal. All rights reserved