The state of emergency obstetric care services in Nairobi informal settlements and environs: Results from a maternity health facility survey
© Ziraba et al; licensee BioMed Central Ltd. 2009
Received: 03 June 2008
Accepted: 12 March 2009
Published: 12 March 2009
Maternal mortality in Sub-Saharan Africa remains a challenge with estimates exceeding 1,000 maternal deaths per 100,000 live births in some countries. Successful prevention of maternal deaths hinges on adequate and quality emergency obstetric care. In addition to skilled personnel, there is need for a supportive environment in terms of essential drugs and supplies, equipment, and a referral system. Many household surveys report a reasonably high proportion of women delivering in health facilities. However, the quality and adequacy of facilities and personnel are often not assessed. The three delay model; 1) delay in making the decision to seek care; 2) delay in reaching an appropriate obstetric facility; and 3) delay in receiving appropriate care once at the facility guided this project. This paper examines aspects of the third delay by assessing quality of emergency obstetric care in terms of staffing, skills equipment and supplies.
We used data from a survey of 25 maternity health facilities within or near two slums in Nairobi that were mentioned by women in a household survey as places that they delivered. Ethical clearance was obtained from the Kenya Medical Research Institute. Permission was also sought from the Ministry of Health and the Medical Officer of Health. Data collection included interviews with the staff in-charge of maternity wards using structured questionnaires. We collected information on staffing levels, obstetric procedures performed, availability of equipment and supplies, referral system and health management information system.
Out of the 25 health facilities, only two met the criteria for comprehensive emergency obstetric care (both located outside the two slums) while the others provided less than basic emergency obstetric care. Lack of obstetric skills, equipment, and supplies hamper many facilities from providing lifesaving emergency obstetric procedures. Accurate estimation of burden of morbidity and mortality was a challenge due to poor and incomplete medical records.
The quality of emergency obstetric care services in Nairobi slums is poor and needs improvement. Specific areas that require attention include supervision, regulation of maternity facilities; and ensuring that basic equipment, supplies, and trained personnel are available in order to handle obstetric complications in both public and private facilities.
High levels of maternal mortality in sub-Saharan Africa remains a challenge. The WHO/UNICEF/UNFPA estimated maternal mortality ratio in Kenya at 1,000 maternal deaths per 100,000 live births in 2000 Of the two indicators (maternal mortality ratio and proportion of births with skilled attendants) for measuring progress towards the fifth Millennium Development Goal (MDG5) of reducing maternal mortality between 1990 and 2015 by three quarters, maternal mortality ratio is generally more difficult to measure compared to the proportion of births with skilled birth attendants (doctors, midwives, or nurses) which can readily be measured in national surveys[3, 4]. Knowing the proportion of women who deliver with skilled assistance is not enough. Mere presence of skilled attendants at birth is unlikely to reduce maternal mortality if there is no supportive environment with essential drugs and supplies, equipment, and appropriate referral and communication system .
Increasingly it is being recognized that availability and access to emergency obstetric care improves maternal morbidity and mortality[6, 7]. Based on functionality and ability to provide lifesaving emergency obstetric procedures, a health facility can be classified as either basic or comprehensive emergency obstetric care facility (EmOC)  Basic EmOC facilities are expected to provide the following six services: administration of parenteral antibiotics; parenteral oxytocic drugs; parenteral anticonvulsants for pre-eclampsia; manual removal of retained placenta; removal of retained products of conception; and assisted vaginal delivery (vacuum extraction or forceps delivery). Comprehensive EmOC facilities are expected to provide caesarean section and blood transfusion in addition to those services provided by the basic EmOC facilities.
In 2004, the Kenya Service Provision Assessment (KSPA) survey among other things examined the availability of emergency obstetric care and quality of delivery services . The KSPA categorized EmOC facilities in Kenya as basic EmOC "minus 1" (excluding assisted vaginal delivery) and comprehensive EmOC "minus 1" (excluding assisted vaginal delivery). Out of 1,882 health facilities (hospitals, maternity clinics and health centers) in Kenya at the time of the survey, it was estimated that 9% offered basic EmOC "minus 1" while 6% offered comprehensive EmOC "minus 1". There was geographical variation among the 8 provinces with Nairobi province having the lowest number of comprehensive EmOC "minus 1" per 500,000 population (0.4) while the Coast province had the highest at 3.8 comprehensive EmOC "minus 1" per 500,000 population. The low coverage in Nairobi province might be partly due to the ever growing population in the city's slums without concomitant expansion of health services. It is estimated that over 70% of the population of Nairobi city live in slums . The KSPA did not provide a break down on the status of EmOC in Nairobi slums.
Recent studies show that the urban poor are increasingly becoming disadvantaged in terms of health outcomes. A study conducted by the African Population and Health Research Center (APHRC) in 2000 showed that most health indicators in the Nairobi slums were worse than other parts of Kenya including rural areas. Under-five mortality in Nairobi's slums was 151 deaths per 1000 live births compared to 84 deaths per 1000 live births in other urban areas of Kenya, and 113 in rural areas. Forty-four percent of children received full vaccination in Nairobi slums compared to 69% in other urban areas and 64% in rural Kenya . Typical characteristics of Nairobi slums include high unemployment; poor access to social amenities such as housing, water, education; and inadequate health provision[10, 12]. Rapid growth of the urban poor population, which has surpassed growth in social services including health facilities, poses a challenge to planners. Whereas physical distance might be the biggest hindrance to accessing health care in rural areas, other factors including cost and congestion in government facilities are often major barriers to the utilization of services in urban areas. Thus, if progress in health and development is to be achieved in Africa, the global community needs to pay attention to the growing urban poor population. This paper assesses quality of emergency obstetric services available to women in two typical Nairobi slums, Korogocho and Viwandani with specific reference to staffing levels and skills, equipment, drugs and supplies, information management, and referral facilities.
The data used in this paper came from a maternal health research project conducted by APHRC in 2006. APHRC is a non-governmental research institution with a focus on health and population challenges facing the African continent. APHRC maintains a longitudinal surveillance system referred to as the Nairobi Urban Health and Demographic Surveillance System (NUHDSS) in two slums in Nairobi city where a total of about 60,000 individuals living in 23,000 households are under surveillance. Vital events monitored include births, deaths and movements among others. The NUHDSS also provides a platform for most of the Center's research projects.
The health facility survey from which this paper is derived was one of the five components of the bigger maternal health project. The other four were: a household survey of women who had pregnancy outcomes between 2004 and 2005; in-depth interviews with women who experienced severe complications (near misses) during their last pregnancy; focus group discussions of women and men regarding delivery experiences; and verbal autopsy interviews for female deaths for the period of 2003–2005. Only details of the health facility survey are presented in this paper. The criteria for inclusion of health facilities in the survey were: provision of delivery care to the slum population in Korogocho and Viwandani as reported by the women who participated in the household survey component of the project, and location or proximity to the study site. Out of the 37 health facilities that were mentioned by women as delivery places, interviews were successfully conducted in 25 health facilities. Two facilities declined to participate while ten health facilities mentioned by women as providing delivery services reported not to be providing maternity care but rather antenatal care only. Facilities studied included hospitals, maternity homes, health centers and clinics owned by government and private entities. Generally a hospital constitutes a high level facility with investigative laboratories, a range of health care workers (doctors, nurses, midwives and laboratory technicians among others), surgical theatres, blood bank and essential drugs and supplies. At this level of operation, hospitals are implicitly expected to be able to provide CEmOC. Maternity homes on the other hand may have most of what the hospitals have but not generally expected to have a surgical theatre or blood bank. Health centers and clinics are mainly outpatient facilities but occasionally operate like maternity homes by providing obstetric care. This categorization is very loose and bound to be misleading. For purposes of assessing quality of maternity services we used the eight signal functions as outlined in the guidelines for emergency obstetric care that has been proposed and used elsewhere .
Ethical clearance was obtained from the Kenya Medical Research Institute (KEMRI). Permission was also sought from the Ministry of Health and from the office of the Medical Officer of Health for City Council of Nairobi. Appointments to conduct the interviews were made with officers in charge of maternity units in the respective health facilities. Written informed consent was obtained for each of the respondents before the interview was conducted. The study was carried out between April and July 2006 by a clinical officer who underwent training for three days. A structured questionnaire was used for the interview to collect information on staffing, obstetric procedures performed, availability of equipment and supplies, referral system and health management information system.
Out of the 25 health facilities surveyed, 14 were located within the two slum areas and 11 were outside the slums but within Nairobi city. In total, there were four hospitals-including one government national teaching hospital, one government obstetric specialist hospital, one government district hospital, and one mission hospital. There were three health centers; one owned by government and the other two owned by non-governmental and community or faith based organizations. There were 13 maternity homes; one of them privately owned, two owned by non-governmental organizations, and 5 were private clinics. All four hospitals (a national referral and teaching hospital, an obstetric specialist hospital, a district hospital and a mission hospital) were located outside the slums.
Availability of emergency obstetric services
Procedures and type of emergency obstetric care in 25 health facilities, Korogocho, Viwandani and environs in Nairobi
Procedure/obstetric care category
Manual removal of retained placenta
Removal of retained products
Assisted vaginal delivery
Type of EmOC
Basic EmOC "minus 1"c
Comprehensive EmOC "minus 1"d
Not applicable e
Equipment and supplies
Percentage distribution of selected equipment and supplies in 25 health facilities, Korogocho, Viwandani and environs in Nairobi
Number of facilities
N = 25
Blood pressure gauge
Manual vacuum aspirator
Long arm gloves
Partograph, at last delivery
Accessibility, referral, and quality assurance in maternity facilities
Access to maternity care, referral and quality assurance in health facilities obstetric care: Maternal Health Facilities Survey, APHRC 2006, Nairobi
Number N = 25
Facility opens less than 7 days a week
Personnel present 24 hours
Charge for normal delivery
Facility provides home deliveries
A printed referral form available
Telephone/radio call available
Ambulance available 24 hrs
Quality control measures
Maternal death audit
Guidelines on infection control displayed
Different beds used at different stages of labor
Have a client register
HIV prophylaxis for personnel
A functioning referral and communication system allows timely transfer of obstetric emergencies. Almost all the health facilities had working telephones or shortwave radio (Table 3). Only 5 health facilities had emergency transport on site for referral of obstetric emergencies. The lack of ambulances was reflected in the high level of emergencies that arrive at referral hospitals (56%) on foot or public transport.
Although traditional birth attendants are not considered to be skilled birth attendants, they continue to operate on their own or with limited supervision. Three health facilities indicated that they had formal links with traditional birth attendants to offer them training and supervision. There was however no documentary evidence of these links. Many of the health facilities operate without proper supervision and regulation with 20% reporting no supervisory visit (from outside the health facility) in the last 12 month or more. Printed referral forms were found in only four health facilities (Table 3). Out of the 25 maternity facilities, only 13 (including all hospitals) conduct audit of maternal deaths and near misses (severe complications). Government facilities were more likely to conduct maternal audit than private owned facilities. It is standard practice that infection control guidelines should be displayed in the work place for quick reference, however only 40% of facilities had infection control guidelines displayed. It is expected that in countries with high HIV prevalence like Kenya , HIV post-exposure prophylaxis would be offered to health personnel who accidentally get exposed to HIV-infected blood (such as through a needle prick). Our results show that only 6 (24%) health facilities provide HIV post-exposure prophylaxis.
Adequacy of obstetric records
Information generated from obstetric records can be useful in assessing use and quality of obstetric services. The obstetric records examined during the survey were largely incomplete. Five private clinics and maternity homes as well as the district hospital had no records on deliveries in 2005 (Table 3). Records on the number of deliveries, obstetric procedures performed, referrals, complications and maternal deaths in facilities with obstetric registers were not readily available at the time of the survey. Besides, over half of all complications and nearly half of maternal deaths in 2004–2005 did not have definitive diagnoses or causes of death, making usefulness of these data questionable.
Caesarean delivery rates in 4 health facilities with records of caesarean deliveries in 2005, Korogocho, Viwandani and environs in Nairobi1
Caesearean delivery rate (%)
Obstetric specialist hospital
National referral and teaching hospital
Reducing maternal mortality remains a big challenge facing the attainment of MDG5. It is generally agreed that maternal health care has not improved significantly since the MDGs were set. Access to quality and timely emergency obstetric care is crucial as most obstetric complications are unpredictable and yet life threatening. Although data from this study is from a small geographical area, it sheds light to the often forgotten sub-population of the urban poor who like the rural folks encounter barriers in accessing obstetric care. From the foregoing results, it is apparent that emergency obstetric services offered at the health facilities assessed were not optimal. Many facilities lacked essential equipment and many health providers did not have critical skills needed to conduct deliveries with minor complications and yet all professionally deployed staff are thought to be skilled enough to manage normal deliveries and obstetric complications. The figures reported in surveys for example, the proportion of women who delivered with assistance of skilled personnel might be higher than the real capacity available to provide safe obstetric care. In service training might go a long way to ensuring that staff have the necessary basic skills to perform their duties.
In this study assisted vaginal delivery was found to be a rare procedure. The KSPA also reported that only 9% of maternity health facilities in Nairobi province offered assisted vaginal delivery (7% nationally) while the proportion for caesarean delivery was 24% in Nairobi and 9% nationally  compared to 20% found in this study. The finding of low assisted vaginal delivery rate of 1.3% in this study indicates that perhaps unnecessary caesarean sections are carried out for cases such as prolonged second stage of labor where assisted vaginal delivery would have been indicated [20–22]. This should be looked at in the light of considerably higher cost of caesarean sections and the risks associated with surgical procedures. It is also important to consider other issues such provider preference and how this affects the characterization of service delivery levels and its impact on overall reporting on maternity health care performance. The absence of assisted vaginal delivery is why we categorized facilities as "basic or comprehensive EmOC facilities minus 1", in addition to the standard convention. We speculate that provider bias against assisted delivery might also partly explain this scenario but indeed further research is needed to assess the position of assisted delivery in obstetric care in Kenya.
Whereas good records can be a vital source of information for monitoring the provision of obstetric care, the largely incomplete obstetric records in this study posed a major challenge in drawing conclusions from the data. Nevertheless, from the available records for 2005, some important observations were made. For example the obstetric specialist hospital (which did not meet criteria for basic EmOC) had more deliveries and yet lower maternal deaths compared to the national referral hospital (classified as comprehensive EmOC). This anomaly might be the result of inaccurate records but could also indicate that using the Maine et al  criteria does not necessarily differentiate low and high quality emergency obstetric care facilities. It could also as well be the case that the national hospital handles most of the late complications from other lower facilities, hence a higher risk of death. This underscores the need for standardization of records in terms of completeness and accuracy of information to allow evidence-based decision making at sub-national and nationals levels.
Accessibility to obstetric care remains a challenge. Although the distance between the slums and many of the fairer health facilities is not a big barrier as compared to rural settings, insecurity in the slums especially at night makes accessibility very difficult and people resort to using facilities near to them irrespective of their quality. Obstetric services in Kenya are paid for. Most people especially the poor who are not in formal employment pay for medical care out of pocket. Others who are in formal employment have access to medical insurance through their employers although many insurers don't cover obstetric risk. The big difference in cost for both normal deliveries and caesarean sections between government and private facilities is because government provides obstetric services at a subsidized cost. This incentive results into overcrowding in government facilities, and hence compromised quality. The shortfall in service might partly be the reason why private providers including TBAs continue to thrive in this community.
Given the centrality of emergency obstetric care services in reducing maternal morbidity and mortality, for reasonable improvements to be made there is need for increased availability, use, and quality of emergency obstetric care services for the growing slum population. In addition to increasing availability of obstetric facilities, it is imperative to regulate and supervise private and public providers to provide a minimum package of quality obstetric services. This might encourage women to seek delivery services at the lower level facilities so that the higher level facilities focus more on complicated cases.
In several ways this study could not answer some of the pertinent issues related to obstetric care and these are outlined below as limitations to this study. Health care seeking choices and patterns in an urban area especially in an informal settlement is very difficult to map out. Some individuals choose to deliver in their rural homes or go to facilities they consider affordable not necessarily those nearest to them. As such estimating a catchment population is very difficult unless all facilities in the city are studied. We were not able to compute indices that require the catchment population such as proportion of all births in emergency obstetric facilities, met need for obstetric complications, caesarean deliveries as a proportion of all births and case fatality rates for community wide deliveries. These indicators would have added valuable information for service improvement.
The quality of emergency obstetric care services in Nairobi slums is poor. Essential equipment, supplies, skilled trained personnel, and other support services are in short supply especially in maternity facilities located within the slums. There is also little supervision to ensure adherence to standards especially among the small private maternity facilities. Medical records even in big health facilities are poorly kept and very difficult to use. Computerization of medical records will go a long way in making medical records more usable.
We acknowledge the financial support provided to the maternal health project by World Bank Netherlands Partnership Program as well as the World Bank Development Grant Facility Window 1, (Contract 7136587) and the financial support to NUHDSS from The Wellcome Trust Grant GR078530MA. We acknowledge the contribution of our field and data management staff. We are also indebted to the participants, health facility management, and the office of the medical officer of health for allowing us to conduct the study.
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