Existence and functionality of emergency obstetric care services at district level in Kenya: theoretical coverage versus reality
© Echoka et al.; licensee BioMed Central Ltd. 2013
Received: 11 September 2012
Accepted: 19 March 2013
Published: 25 March 2013
The knowledge on emergency obstetric care (EmOC) is limited in Kenya, where only partial data from sub-national studies exist. The EmOC process indicators have also not been integrated into routine health management information system to monitor progress in safe motherhood interventions both at national and lower levels of the health system. In a country with a high maternal mortality burden, the implication is that decision makers are unaware of the extent of need for life-saving care and, therefore, where to intervene. The objective of the study was to assess the actual existence and functionality of EmOC services at district level.
This was a facility-based cross-sectional study. Data were collected from 40 health facilities offering delivery services in Malindi District, Kenya. Data presented are part of the “Response to accountable priority setting for trust in health systems” (REACT) study, in which EmOC was one of the service areas selected to assess fairness and legitimacy of priority setting in health care. The main outcome measures in this study were the number of facilities providing EmOC, their geographical distribution, and caesarean section rates in relation to World Health Organization (WHO) recommendations.
Among the 40 facilities assessed, 29 were government owned, seven were private and four were voluntary organisations. The ratio of EmOC facilities to population size was met (6.2/500,000), compared to the recommended 5/500,000. However, using the strict WHO definition, none of the facilities met the EmOC requirements, since assisted delivery, by vacuum or forceps was not provided in any facility. Rural–urban inequities in geographical distribution of facilities were observed. The facilities were not providing sufficient life-saving care as measured by caesarean section rates, which were below recommended levels (3.7% in 2008 and 4.5% in 2009). The rates were lower in the rural than in urban areas (2.1% vs. 6.8%; p < 0.001 ) in 2008 and (2.7% vs. 7.7%; p < 0.001) in 2009.
The gaps in existence and functionality of EmOC services revealed in this study may point to the health system conditions contributing to lack of improvements in maternal survival in Kenya. As such, the findings bear considerable implications for policy and local priority setting.
KeywordsKenya Maternal health Emergency obstetric care Life-saving
Amid recognition that too many women die during pregnancy, childbirth and postpartum, the health system in Kenya continues to face challenges that may be contributing to lack of improvements in maternal survival. Recent estimates indicate that the maternal mortality ratio (MMR) remains unacceptably high, at 488 maternal deaths per 100,000 live births . Kenya was also among the 11 countries contributing to 65% of all maternal deaths on a global scale in 2008, and one of the 23 countries in sub-Saharan Africa making insufficient progress towards Millennium Development Goal Five . At this level of magnitude, improvements in maternal survival by 2015 present a key challenge.
Emergency obstetric care indicators, questions and acceptable levels
Do the services exist and function?
1. Availability of EmOC: basic and comprehensive facilities
At least five EmOC facilities (including at least one comprehensive) per 500,000 population
Are the services geographically and equitably distributed?
2. Geographical distribution of EmOC facilities
Equitably distributed in an area
Are the services being used by pregnant women?
3. Proportion of all births in EmOC facilities
Recommended level set locally
Are the services being used by women with complications?
4. Met need for EmOC services
Do they provide critical life saving services?
5. Caesarean section as a proportion of all births
Do they provide good quality care?
6. Direct obstetric case fatality rate
7. Intrapartum and very early neonatal death rate
To be set
8. Proportion of maternal deaths due to indirect causes
It is recommended that countries that intend to reduce maternal mortality should attempt to include EmOC process indicators into routine health management information systems to track progress in safe motherhood both nationally and at the lower levels of the health system [10, 11]. However, the indicators are not routinely used in many countries. This includes Kenya, where only partial data from sub-national studies exist [12, 13]. Although EmOC process indicators have been in existence since 1997, monitoring progress in maternal health goals in Kenya has relied heavily on the MMR, albeit the complexities surrounding this indicator [14–16]. Lack of sufficient information on obstetric care in Kenya may suggest that in a country with a high burden of maternal mortality, policy and decision makers are often unaware of the extent of need and, therefore, where to intervene. Another challenge is that obstetric care in Kenya is presented as a “crude” coverage, not taking into account the actual care provided in the health facilities. On the Ministry of Health website, all health centres are ‘automatically’ classified as basic EmOC , meaning that on paper, coverage is considered “good”. There is need for countries to classify EmOC facilities after direct inspection. This provides a distinction between how a facility is supposed to function and the reality. The distinction provides policy and decision makers with information necessary to improve coverage of services that can prevent maternal mortality and morbidity.
This study aimed to determine the actual situation in terms of existence, functionality and provision of critical life-saving services . Malindi is one of the districts with a high MMR in Kenya, estimated at 625 maternal deaths per 100,000 live births by the district’s statistics. The evidence that a majority of these deaths could be averted if women have access to EmOC calls for the need to provide information on what interventions are needed to reduce these deaths.
Data presented draws from the “Response to accountable priority setting for trust in health systems” (REACT) study, whose intervention aimed at improving equity and access to quality health care at district level in Kenya, Tanzania and Zambia . EmOC was one of the service areas selected to assess fairness and legitimacy of priority setting in health care. The larger REACT study included a baseline assessment of conditions for fairness and participation (and thus legitimacy) of priority setting and other decision making in the district health services, including EmOC. This aimed to assess whether fairness and participation in decision making could have an influence on service output and outcome. Ideally, such changes were expected to emerge after an active promotion of the fairness conditions .
Findings from this study thus provide information to the district health management team on the actual availability of EmOC as opposed to theoretical coverage in the district. The findings may therefore indicate if there is need to improve priority setting processes, which influence decision making on how to achieve optimal coverage and access to life-saving obstetric services for pregnant women in the district.
This was a facility-based cross-sectional survey, conducted between October and December 2010 in Malindi District, Kenya. The district is located in the southern coastal region, covering an area of 7, 792 square kilometers. Four divisions: Malindi, Langobaya, Marafa and Magarini constitute the district. The total population in the district was 400,514 people in 2009, with urban–rural distribution of 140,739 and 259,775 persons, respectively . Malindi division has a higher population density than the other three divisions as it has favourable topographic features and economic factors affecting human settlement. Malindi town, which is located in Malindi Division, has been labeled “Little Italy”, with an estimated 3,000 Italian residents. The district has a total of 105 public and private health facilities . Of these, 42 (40%) offer delivery services. The total fertility rate in the district was 4.8 children per woman of reproductive age and crude birth rate of 38.1/1000 .
All the 42 facilities (private and public) that offer delivery services in Malindi District were listed for inclusion in the study. Since it was feasible to study all the facilities listed, no sampling was done. Two facilities were, however, not reached due to bad road conditions.
Although there are a total of eight process indicators, the study focused on the first, second and fifth indicators, since the aim of the study was to describe the actual situation in terms of existence and functionality of EmOC and provision critical life saving services. The first indicator examined the availability of EmOC. This was measured by obtaining data on the number of facilities that perform the complete set of signal functions. A standard tool was used to interview the in-charge of maternity unit, whether the nine signal functions had been performed at least once during the previous three months (Yes/No) . If any of the signal functions had not been performed, reasons were recorded. A review of facility registers to ascertain that the signal functions were performed was done. In addition, observations to indicate the availability of equipment and drugs were conducted.
A strict WHO definition of a basic EmOC facility is one that has performed all the first seven signal functions in the last three months. A comprehensive EmOC facility is one that has performed caesarean section and blood transfusion in addition to basic functions in the past three months. In some instances, a signal function such as assisted delivery, is not performed in some countries as a matter of policy. According to the WHO handbook of assessing EmOC, “If a signal function is systematically absent in a region, it is possible to use the designation comprehensive “minus one” or basic “minus one” as a temporary measure while policies are reviewed and programmatic interventions planned to remedy the lack” .
The second indicator examined equity in distribution of facilities. This was achieved through mapping of facilities to identify gaps in geographical distribution of services and acknowledge added barriers such as distance to facilities. Geographical coordinates of different facilities were collected using a handheld Geographical Positioning System (GPS) device (Garmin eTrex). The device automatically logged in longitude and latitude values. Facility name, administrative location and type of facility were keyed in the device. The GPS data were downloaded into a spreadsheet and mapped onto an administrative map within ArcGIS 9.3 software environment. The map contained data from the survey department, with the most up to date official administrative boundaries. Road infrastructure and key features like settlements and water bodies were overlaid with the administration boundaries data to produce base maps. The GPS data were analysed in relation to administrative locality of facilities. This facilitated identification of underserved areas and approximate distance as an independent indicator of limitation to access. The conditions of roads and various terrain barriers were not considered since the buffer tool assumes a straight line distance function that would mean in real-time land travel. The buffer proximity analysis provided the shortest distance it would take to reach the comprehensive care facility.
The fifth indicator assessed the provision of critical life saving services for pregnant women as measured by caesarean section rates in the district. To obtain this data, a form was completed for every woman who underwent a caesarean section to obtain information on the indications for the intervention, geographical origin of the women and outcome for mother and newborn. The data were collected retrospectively for the periods 1st January 2008 to 31st December 2009. The data, together with district population figures  were used to calculate caesarean section rates by division and rural–urban residence of the women. The differences in rates between urban and rural women were compared using Pearson’s Chi-square test of association. The strength of the association was estimated using odds ratios, with corresponding 95% confidence interval.
Approval to conduct this study was obtained from the Kenya Medical Research Institute’s Ethical Review Committee (Scientific Steering Committee Number 1808). Written permission was obtained from the Medical Officer of Health in the district prior to visiting the health facilities. All data have been maintained as confidential and no individuals will be identified in dissemination of findings.
Existence and functionality of emergency obstetric care
Distribution of institutional deliveries by facility ownership and level in 2009 in Malindi District, Kenya
Ratio of emergency obstetric care facilities to population size in 2010, Malindi District, Kenya
Ratio of facilities to population
Minimum recommended level
Geographical distribution of facilities
Provision of sufficient life saving care: Caesarean section rates
A total of 539 and 687 forms were completed for women who underwent a caesarean section in the three comprehensive EmOC facilities in the district in 2008 and 2009 respectively. This amounted to over 90% of all surgical obstetric interventions performed in the hospitals in both 2008 and 2009. The most common indications for caesarean section were cephalopelvic disproportion and ante-partum haemorrhage. These accounted for 50.3% and 32% in 2008 and 54.6% and 27.7% in 2009, respectively.
Caesarean section rates by divisions in Malindi District
Estimated mean distance in kilometres to comprehensive EmOC facility
Caesarean section rates by rural and urban area of Malindi District
Noof C-section performed
OR (95% CI); p-value
3.39 * (2.83 – 4.06); p < 0.001
3.17 * (2.70 – 3.72); p < 0.001
Methodological issues and study limitations
This paper documents the application of EmOC process indicators to assess the actual existence, functionality and provision of life-saving obstetric services at district level in Kenya. Some limitations as well as methodological issues in the EmOC process indicators methodology were observed. The first limitation was related to the strict WHO categorisation of facilities as basic or comprehensive. This is based on the activities of a facility in the past three months. In this study, over 50% of facilities assessed had less than 60 deliveries in the previous three months. It is therefore not reasonable to presuppose that all seven signal functions would have been conducted within this period in these facilities. An extension of the period to six months would perhaps have given a chance to facilities that had the capacity to provide basic EmOC but did not qualify due to low deliveries. Secondly, the strict WHO criteria do not acknowledge the significant contribution to health care of facilities missing perhaps only one or two signal functions. Similar limitations in the EmOC process indicators methodology are documented elsewhere [21–23]. Thirdly, this paper is mainly descriptive and may not adequately provide a rigorous statistical appraisal of the findings. This limitation is however within the acceptable WHO concept of assessing the availability of EmOC . Further, description of service level as provided in this paper provides a simple and clear message to decision makers and users and, therefore, no need for sophisticated statistical tests than necessary. Finally, the use of GIS buffer tool to estimate the distance women had to travel to reach the comprehensive care facility was a major limitation. The technique can be extremely misleading since the buffer tool assumes straight line distance, not taking into account road conditions and various terrain barriers.
Existence and functionality of EmOC services
Health centres in Kenya are required to provide basic signal functions and are theoretically classified as basic EmOC facilities [17, 24]. The Ministry of Health therefore ‘automatically’ classifies the five health centre level facilities in the district as basic EmOC . The reality on the ground as evidenced in this study is however different. Only two of the five health centres expected to provide basic EmOC services qualified. A similarity illustrating theoretical coverage of facilities versus reality is provided in Uganda where, in 2003, results of an EmOC assessment showed that 21 (65%) of the 32 hospitals were comprehensive, while only five (4%) of the 129 Health centres functioned at their intended level . The Uganda study is cited in the WHO handbook to show the difference between the way a facility is supposed to function and what it actually provides . This highlights the need to classify facilities after direct inspection as opposed to theoretical coverage, which can be extremely misleading. In Kenya, by not taking the real definition of EmOC into account, EmOC coverage is often an overestimate.
The EmOC certification level requires that all signal functions are present . Findings from this study, however, show that none of the facilities were “strictly" EmOC in the absence of assisted vaginal delivery by vacuum or forceps. Similar observations, showing that assisted vaginal delivery is a rare procedure, are documented in other sub-national studies in Kenya [12, 13, 26–28]. This is despite vacuum extraction being included in the minimum package for maternal health services at health centre and hospital level facilities [24, 29]. Lack of the procedure implies that women who might benefit from this intervention are delivered by caesarean section. It is not clear why assisted vaginal delivery by vacuum is not offered as per the Ministry of Health and WHO specifications, yet there are observations that experienced midwives and nurses can perform the procedure at a basic EmOC facility . In addition, anaesthesia is not required as with caesarean section and the potential risks associated with major haemorrhage and prolonged hospital stay are fewer . Vacuum and forceps are also less invasive and inexpensive options in many situations . Considering that comprehensive EmOC facilities are not easily accessible to rural women, vacuum extraction would be a more suitable option than caesarean section for women requiring a life-saving procedure in Malindi District and similar settings in Kenya. In Rwanda, a study revealed that under adequate supervision and immediate caesarean section back-up, vacuum deliveries conducted by competent mid-level providers are safe, making life-saving services more accessible and affordable for low-income households and rural populations .
The finding on lack of assisted vaginal delivery in this study and similar observations in other settings in Kenya highlight the need for further research to assess the status of the intervention in the country. This is necessary to provide information that may guide a review of maternal health guidelines to remedy the lack of this life-saving intervention in Kenya. Bridging this gap will contribute to strengthening the health system capacity to treat obstetric emergencies. There is also need to revisit the training policy on maternal health, given that midwives and clinical officers in Kenya are not currently trained to perform assisted vaginal delivery .
Comparable findings on availability of EmOC are reported in Kenya. The two Kenya Service Provision Assessment surveys of 2004 and 2010 found EmOC coverage to be below the recommended levels [12, 13]. Similar to this study, adequate coverage in comprehensive EmOC facilities, but shortage of basic facilities was reported in North Eastern Province . In the Nairobi’s informal settlements, among the facilities offering delivery services, only 40% were offering EmOC . In West Pokot, although two facilities offered caesarean section and blood transfusion, no facility offered a complete set of signal functions in 2007 . While the EmOC certification criteria is biased against facilities with capacity to provide EmOC but miss two or three signal functions perhaps due to few deliveries, their contribution should not be ignored. The analysis of signal functions by facilities that do not qualify the EmOC status as instituted in this study, not only illustrates the contribution to healthcare of these facilities, but also makes it possible to show which signal functions are not being performed adequately. This information can guide decision making on which areas require strengthening to achieve maximum gains in mortality and morbidity reduction. In this regard, the finding that signal functions were least performed due to low cases implies the need to determine whether it is because of low facility deliveries or if it a problem of access related issues, like costs and distance.
Equity in geographical distribution of EmOC facilities
Equity in service provision, which entails fair distribution, access and use between population groups [34, 35] is regarded as a measure of health system performance [36, 37]. Although the optimal requirement of comprehensive EmOC facilities was met in this study, reaching them was a challenge for women in rural areas. While it is logical that such facilities are located in the urban areas [38, 39] because of population density and presence of good infrastructure, it is clearly unfair to rural women. Except if compensated by an effective referral infrastructure that includes adequate good roads, communication and emergency transport. In view of the urgency and unpredictability of maternal complications, the inequities in access to care facilities in this study portray serious implications for women living in the underserved areas. These women have to travel over 30 kilometres to reach a comprehensive EmOC facility. Consequently, their chances of surviving an obstetric emergency are greatly reduced. Travel delay also means that the women arrive at the facility in such severe conditions that it may be difficult to save their lives . If indeed policy and decision makers in countries with high maternal mortality are committed to the statement that "no woman should die while giving birth", there is need to improve equitable access to life saving interventions for women in under served areas. Geographical mapping of care facilities as instituted in this study can guide decision making on which facilities may benefit from upgrading to achieve the optimal coverage in an area [37, 40]. Possibly, upgrading the health centre in Marafa Division to comprehensive and a dispensary in Langobaya Division to basic EmOC status or strengthening the referral infrastructure could contribute to fair distribution and access to obstetric care in the district. Upgrading should additionally involve providing the neccesary equipment and supplies to provide the services.
The relative lack of access to life-saving services for rural women as observed in this study is documented in other developing countries [21, 40]. Similar, analysis of EmOC in countries with high and moderate levels of maternal mortality show that even as EmOC facilities meet the recommended levels, concerns surrounding equity and geographical accessibility are raised . Similarly in this study, the question whether EmOC services exist and function and if the services are geographically and equitably distributed cannot be answered affirmatively for the rural areas.
Need for critical life-saving services
Caesarean sections are regarded as the simplest ways of measuring the need for critical life-saving services [7, 8, 41]. In this study, the overall caesarean section rates in the district were below the recommended levels. Similar findings on low caesarean section rates are observed in other developing countries [21, 27, 42–46]. The differences in physical access to the comprehensive EmOC facility by women in the district undoubtedly explain the variations in caesarean section rates between the four divisions and urban–rural areas to a great extent. From the findings, a pregnant woman with a complication requiring caesarean section in the urban area was up to three times more likely to access the intervention compared to her rural counterpart. Perhaps by availing vacuum extraction, women with prolonged second stage of labor in the rural areas can benefit from the intervention instead of travelling long distances to access the comprehensive EmOC facilities. Findings on low caesarean section rates among women in the rural areas are reported in other studies in Kenya and Tanzania [44, 47, 48]. It is observed that caesarean section rates is a valuable process indicator for identifying gaps in obstetric care and may be used for advocating improvements for healthcare to the relevant authorities [42, 47]. Thus, the variation between caesarean section rates in urban and rural areas observed in this study may indicate the need to upgrade some facilities to achieve good coverage in the rural areas. This alone, may however not increase use of life-saving services for rural women given that in this setting, the proportion of home deliveries is 84 percent (REACT data, unpublished). Sensitising the community to promptly seek care in the event of obstetric complications may be necessary to achieve optimal utilisation of life-saving services in the district.
The EmOC process indicators methodology as applied in this study highlights the gaps in availability of services likely to reduce maternal mortality. The need to improve local priority setting and decision making towards achieving optimal coverage of life-saving obstetric interventions for pregnant women in the district is strongly recommended. The EmOC process indicators methodology may not have been entirely appropriate to assess availability of EmOC in a setting with low facility deliveries as Malindi District. As such, modifications to extend the three-month assessment period to six months may be required in similar settings. This will value the contribution to health care of facilities with capacity to provide EmOC, but which do not qualify due to few deliveries.
Emergency Obstetric Care
Geographical Positioning System
Maternal Mortality Ratio
Response to Accountable priority setting for Trust in health systems
World Health Organisation.
We acknowledge the Director KEMRI for granting the permission to conduct the study and financial support through the KEMRI Internal Research Grant (No. IRG/004). We acknowledge the REACT study collaboration and funding, through the European Union sixth framework programme (INCO-2003-A.1.2, contract PL517709) for REACT project. This research was partially funded by an African Doctoral Dissertation Research Fellowship award offered by the African Population and Health Research Center (APHRC) in partnership with the International Development Research Centre (IDRC). We thank the Medical Officer of Health, Malindi District and all the health workers who participated in data collection. We acknowledge Bruno Marchal for the scientific coordination of permits to access the REACT project data.
- Kenya National Bureau of Statistics, ICF Macro: Kenya Demographic and Health Survey 2008–09. 2010, Calverton, Maryland: Kenya National Bureau of Statistics, ICF Macro
- WHO, UNICEF, UNFPA and the World Bank: Trends in maternal mortality 1990–2008: estimates developed by WHO, UNICEF, UNFPA and The World Bank. 2010, Geneva: World Health Organization
- UON Network: Tackling Unmet Needs for Major Obstetric Interventions. Part 1: Concepts, General Principles and International Network. [http://www./uonn.org/pdf/Guide1.pdf]. Accessed March 2013
- Prual A, Bouvier-Colle MH, de Bernis L, Breart G: Severe maternal morbidity from direct obstetric causes in West Africa: incidence and case fatality rates. Bull World Health Organ. 2000, 78: 593-602.PubMedPubMed Central
- Koblinsky MA: Reducing Maternal Mortality. Learning from Bolivia, China, Egypt, Honduras, Indonesia, Jamaica, and Zimbabwe. 2003, Washington, D.C: The World BankView Article
- WHO, ICM and FIGO: Making Pregnancy Safer: The Critical Role of the Skilled Attendant. A Joint Statement by WHO, ICM, and FIGO. 2004, Geneva: World Health Organization
- Paxton A, Maine D, Freedman L, Fry D, Lobis S: The evidence of emergency obstetric care. Int J Gynecol Obstet. 2005, 88: 181-193. 10.1016/j.ijgo.2004.11.026.View Article
- Campbell OM, Graham WE: Strategies for reducing maternal mortality: getting on with what works. Lancet. 2006, 368 (9543): 1284-1299. 10.1016/S0140-6736(06)69381-1.PubMedView Article
- Ronsmans C, Graham WE: Maternal Survival 1-Maternal mortality: who, when, where, and why. Lancet. 2006, 368: 1284-1299. 10.1016/S0140-6736(06)69381-1.View Article
- WHO, UNICEF, UNFPA and AMDD: Monitoring emergency obstetric care: a handbook. 2009, Geneva: World Health Organisation
- UNICEF, WHO, UNFPA: Guidelines for monitoring the availability and use of obstetric services. 1997, United Nations Children Fund, New York, [http://www.amddprogram.org/v1/resources/UNGuidelinesEN.pdf]. Accessed March 2013
- National Coordinating Agency for Population and Development, Ministry of Heath, Central Bureau of Statistics, ORC Macro: Kenya Service Provision Assessment Survey 2010. 2011, Nairobi-Kenya: National Coordinating Agency for Population and Development, Ministry of Heath, Central Bureau of Statistics, ORC Macro
- National Coordinating Agency for Population and Development, Ministry of Heath, Central Bureau of Statistics, ORC Macro: Kenya Service Provision Assessment Survey 2004. 2005, Nairobi-Kenya: National Coordinating Agency for Population and Development, Ministry of Heath, Central Bureau of Statistics, ORC Macro
- Abouzahr C, Wardlaw T: Maternal mortality at the end of a decade: signs of progress?. Bull World Health Organ. 2001, 79 (6): 561-573.PubMedPubMed Central
- Yazbeck AS: Challenges in measuring maternal mortality. Lancet. 2007, 370: 1291-1292. 10.1016/S0140-6736(07)61553-0.PubMedView Article
- Graham WJ, Ahmed S, Stanton C, Abou-Zahr CL, Campbell OM: Measuring maternal mortality: an overview of opportunities and options for developing countries. BMC Med. 2008, 6: 12-10.1186/1741-7015-6-12.PubMedPubMed CentralView Article
- Kenya Master Health Facility List. [http://www.ehealth.or.ke/facilities/latestfacilities.aspx] Accessed March 2013
- Byskov J, Bloch P, Blystad A, Hurtig AK, Fylkesnes K, Kamuzora P, Kombe Y, Kvale G, Marchal B, Martin DK, Michelo C, Ndawi B, Ngulube TJ, Nyamongo I, Olsen OE, Shayo EH, Silwamba G, Songstad NG, Tuba M: Accountable priority setting for trust in health systems - the need for research into a new approach for strengthening sustainable health action in developing countries. Health Res Policy Syst. 2009, 7 (23): 1-10.
- Kenya National Bureau of Statistics: Kenya Population and Housing Census 2009. 2010, Nairobi-Kenya: Kenya National Bureau of Statistics
- Macro International Inc: Measure DHS, Stat Compiler. [http://www.measuredhs.com]. Accessed March 2013
- AMDD Working Group on Indicators: Program Note. Using UN process indicators to assess needs in emergency obstetric services: Niger, Rwanda and Tanzania. Int J Gynecol Obstet. 2003, 83: 112-120.View Article
- Fauveau V, Donnay F: Can the process indicators for emergency obstetric care assess the progress of maternal mortality reduction programs? An examination of UNFPA Projects 2000–2004. Int J Gynecol Obstet. 2006, 93 (3): 308-316. 10.1016/j.ijgo.2006.01.031.View Article
- Paxton A, Bailey P, Lobis S: The United Nations Process Indicators for emergency obstetric care: Reflections based on a decade of experience. Int J Gynecol Obstet. 2006, 95 (2): 192-208. 10.1016/j.ijgo.2006.08.009.View Article
- Republic of Kenya: Road Map for accelerating the attainment of the millennium development goals related to maternal and newborn health in Kenya. 2010, Nairobi: Division of Reproductive Health, Ministry of Public Health and Sanitation
- Orinda V, Kakande H, Kabarangira J, Nanda G, Mbonye AK: A sector-wide approach to emergency obstetric care in Uganda. Int J Gynecol Obstet. 2005, 91: 285-291. 10.1016/j.ijgo.2005.07.023.View Article
- Pearson L, Shoo R: Availability and use of emergency obstetric care services: Kenya, Rwanda, Southern Sudan and Uganda. Int J Gynecol Obstet. 2005, 88: 208-215. 10.1016/j.ijgo.2004.09.027.View Article
- Doctors of the World – USA: West Pokot facility needs assessment-maternal and newborn care. 2007, Nairobi: Doctors of the World
- Ziraba AK, Mills S, Madise N, Saliku T, Fotso JC: The state of emergency obstetric care services in Nairobi informal settlements and environs: Results from a maternity health facility survey. BMC Health Serv Res. 2009, 9: 46-10.1186/1472-6963-9-46.PubMedPubMed CentralView Article
- Republic of Kenya: National Reproductive Health Strategy: 2009–2015. 2009, Nairobi: Ministry of Medical Services and Ministry of Public Health and Sanitation
- Bailey PE: The disappearing art of instrumental delivery: time to reverse the trend. Int J Gynecol Obstet. 2005, 91 (1): 89-96. 10.1016/j.ijgo.2005.05.016.View Article
- Roshni RP, Deirdre JM: Forceps delivery in modern obstetric practice. BMJ. 2004, 328: 1302-1305. 10.1136/bmj.328.7451.1302.View Article
- Nanda G, Switlick K, Lule E: Accelerating progress towards achieving the millennium development goal to improve maternal health: A collection of promising approaches. Health, Nutrition and Population discussion paper. 2005, Washington, DC: International Bank for Reconstruction and Development and the World Bank
- Republic of Kenya: Clinical management and referral guidelines. Volume III: Clinical guidelines for management and referral of common conditions at level 4–6 hospitals. 2009, Nairobi: Ministry of Public Health and Sanitation and Ministry of Medical Services
- Thaddeus S, Maine D: Too far to walk: maternal mortality in context. Soc Sci Med. 1994, 38: 1091-110. 10.1016/0277-9536(94)90226-7.PubMedView Article
- Braveman P, Gruskin S: Defining equity in health. J Epidemiol Community Health. 2003, 57 (4): 254-8. 10.1136/jech.57.4.254.PubMedPubMed CentralView Article
- WHO: Health systems: Improving performance. 2000, Geneva: World Health Organisation
- Bailey P, Paxton A, Lobis S, Fry D: Measuring progress towards the MDG for maternal health: including a measure of the health systems capacity to treat obstetric complications. Int J Gynecol Obstet. 2006, 93 (3): 292-299. 10.1016/j.ijgo.2006.01.029.View Article
- Curet LB, Foster-Rosales A, Hale R, Kestler E, Medina C, Altamirano L, Reyes C, Jarquin D: FIGO Save the Mothers Initiative: the Central America and USA collaboration. Int J Gynecol Obstet. 2003, 80: 213-21. 10.1016/S0020-7292(02)00411-3.View Article
- Ronsmans C, Etard JF, Walraven G, Høj L, Dumont A, de Bernis L, Kodio B: Maternal mortality and access to obstetric services in West Africa. Trop Med Int Health. 2003, 8 (10): 940-8. 10.1046/j.1365-3156.2003.01111.x.PubMedView Article
- Paxton A, Bailey P, Lobis S, Fry D: Global patterns in availability of emergency obstetric care. Int J Gynecol Obstet. 2006, 93: 300-307. 10.1016/j.ijgo.2006.01.030.View Article
- Ronsmans C, Brouwere V, Dubourg D, Dieltiens G: Measuring the need for life-saving obstetric surgery in developing countries. BJOG. 2004, 111: 1027-1030. 10.1111/j.1471-0528.2004.00247.x.PubMedView Article
- Dumont A, de Bernis L, Bouvier-Colle MH, Breart G, MOMA study group: Caesarean section rate for maternal indication in sub-Saharan Africa: a systematic review. Lancet. 2001, 358 (9290): 1328-33. 10.1016/S0140-6736(01)06414-5.PubMedView Article
- Uganda Ministry of Health and UNICEF: Status of emergency obstetric care in Uganda. A national needs assessment of EmOC process indicators. 2003, New York: UNICEF
- Olsen OE, Ndeki S, Norheim OF: Availability, distribution and use of emergency obstetric care in northern Tanzania. Health Pol Plann. 2005, 20 (3): 167-175. 10.1093/heapol/czi022.View Article
- Leigh B, Mwale TG, Lazaro D, Lunguzi J: Emergency obstetric care: how do we stand in Malawi?. Int J Gynecol Obstet. 2008, 101 (1): 107-111. 10.1016/j.ijgo.2008.01.012.View Article
- Sierra Leone Ministry of Health and Sanitation: UNICEF, WHO, UNFPA: Nationwide Needs Assessment for Emergency Obstetric and Newborn Care Services in Sierra Leone. 2008, Sierra Leone: UNICEF
- Gichangi P, Apers L, Temmerman M: Rate of caesarean section as a process indicator of safe-motherhood programmes: the case of Kenya. J Health Popul Nutr. 2001, 19 (2): 52-8.PubMed
- Central Bureau of Statistics, Ministry of health, ORC Macro: Kenya Demographic and Health Survey 2003. 2004, Calverton, Maryland: Central Bureau of Statistics, Ministry of health, ORC Macro
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/13/113/prepub
This article is published under license to BioMed Central Ltd. 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.