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A system approach to improving maternal and child health care delivery in Kenya: innovations at the community and primary care facilities (a protocol)
Reproductive Healthvolume 14, Article number: 105 (2017)
Maternal, fetal and neonatal mortality are higher in low-income compared to high-income countries due to weak health systems including poor access and utilization of health services. Despite enormous recent improvements in maternal, neonatal and under 5 health indicators, more rapid progress is needed to meet the targets including the Development Goal 3(SDG). In Kenya these indicators are still high and comprehensive systems are needed to attain the targets of the SDG 3 by 2030. We describe the structure and methods of a study to assess the impact of an innovative system approach on maternal, neonatal and under-five children outcomes.
This will be implemented in two clusters in the Counties of Busia and Bungoma in Kenya. There will be 4 control clusters in Kakamega, UasinGishu, Trans Nzoia and Elgeyo Marakwet Counties in Kenya. The study population will be pregnant women, newborns and under-five children identified over the study period. The objective of the study is to improve access, utilization and quality of Maternal and Child Health care through a predesigned Enhanced Health Care System (EHC) that embodies six WHO pillars of the health system and community owned initiatives including Community Based Organisations and Income Generating Activities.
A five year quasi-experimental design will be used to compare the outcomes of the implementation of the EHC using the Find Link Treat and retain (FLTR) strategy in one cluster, community owned initiatives in one cluster and four control clusters at baseline and at the end of the study. A Baseline survey will be conducted in year one and an endline in the fifth year in which maternal, neonatal and underfive childhood outcomes will be compared.
The expected findings from the study include showing trends in improvement in the intervention clusters for morbidity, mortality, health service utilization and access indicators. Use of the health systems approach in health care provision is expected to provide a holistic improvement in the quality of care in the study populations in the intervention clusters that will lead to improved health indicators including morbidity and mortality. It is expected that the findings will inform health policy of the national and county governments in Kenya and worldwide.
Plain English summary
Worldwide, the mortality rate for children under five dropped from 87 deaths per 1000 live births in 1990 to 51 per 1000 in 2011. Despite this enormous accomplishment, most countries in developing countries, including Kenya, did not meet the Millennium Development Goals 4, 5 and 6. Increasingly, child deaths are concentrated in the poorest regions and in the first month of life.
The goal of this project is to improve access and quality of Maternal and Child Health care through a predesigned Enhanced Health Care system and community owned initiatives including CBOs and IGUs.
The primary long term objective is to evaluate the impact of the implementation of an “Enhanced Health Care (EHC)” delivery care system through Find, Link, Treat and Retain (FLTR) strategy on antenatal care attendance, health facility deliveries, low birth weight and premature deliveries.
Community health workers supervised by trained skilled health workers to go house to house to find pregnant women and newborns (Find). They encourage prompt ANC/MCH clinic attendance and scheduled ANC/MCH clinic appointments using mobile phones at the time of their initial visit (Link). The ANC/MCH clinics in the facilities provide the complete EHC package to each subject (Treat). Subjects are tracked and defaulters followed up and their compliance ensured (Retain).
The expected outcomes include overall increase in antenatal care attendance, health facility deliveries, improved quality of care, a reduction in low birth weight and premature births, reduction in birth asphyxia, a reduction in neonatal sepsis and subsequent reduced maternal, infant and neonatal mortality.
Despite decades of independence, most countries in sub-Saharan Africa are characterized by underperforming health systems in terms of low funding, operational and management inefficiency, poor quality of health services, inequities in distribution of the health workforce, and low capacity for planning, budgeting, and governance . Efforts to improve the performance of these health systems are complicated by contextual factors such as intricate political landscape, unstable economic environment and rapid population growth. Some of the consequences of the weak health system include rising disease burden including non-communicable diseases, new and re-emerging epidemics. Specifically, most countries in sub-Saharan Africa, with the exception of Rwanda, Ethiopia,Malawi, Cape Verde and Tanzaniadid not meet MDG goals 4 and 5 because of weak health systems . Building health systems that are responsive to health needs of populationsrequires innovative application of technologies and human resource with the capacity to conduct research and use evidence to inform health policy making and practice.
Health systems research (HSR), is an evolving field of study that “is interdisciplinary in nature and aims to provide policy and practice relevant information that improves the health system as a whole by addressing the goals of equity, efficiency, effectiveness, and sustainability, ultimately leading to improved health status”. The high maternal and child morbidity and mortality in Africa is testament to non-responsive health systems that perpetuate inequalities due to ineffective and unsustainable interventions [4,5,6,7,8].
Studies and reports from low and high income countries indicate that maternal, fetal and neonatal mortality are 10 to 100 fold higher in many low-income compared to high-income countries. The reasons for these discrepancies are many, but include the facts that many women and newborns receive little prenatal care and most deliver outside of health facilities that can provide lifesaving treatment for the mother, fetus and newborn .
In low-income settings, maternal mortality rates range from 150 to more than 1000 per 100,000 live births  while rates of stillbirth and neonatal mortality generally range from 20 to 40 per 1000 births [10, 11]. Intrapartum stillbirth, or those stillbirths that occur during labor and delivery, are an important indicator of the quality of obstetric care (Goldenberg 2008; [12, 13]). While in high-income countries, intrapartum stillbirths have nearly been eliminated, in low-resource settings, up to half of all stillbirths occur in the intrapartum period. Another measure of care is obstetric ‘near miss’ which has been defined by the World Health Organization (WHO) to comprise women who nearly died but survived a complication during pregnancy (Pattinson, 2011) . Near misses are considered an important indicator of intra-partum maternal care and rates may be as high as 33 per 1000 in low-resource settings (Okong, 2007; [15, 16]). Because maternal mortality is relatively rare and therefore difficult to study, many have advocated using near miss cases as a surrogate measure of maternal mortality, although morbidity is an important outcome on its own.
It is widely accepted that 15% of all pregnancies have direct and indirect medical or obstetric complications that greatly increase the risk of mortality or severe morbidity for the mother and newborn. These complications include haemorrhage, hypertension, unsafe abortions and obstructed labour (UNICEF/UNFPA 2007). Indirect causes include malaria, anaemia, tuberculosis and HIV/AIDS. Universal access to high quality facility care substantially reduces mortality and morbidity from these conditions . Poor quality of antenatal care result in failure to detect and manage these high risk pregnancies in low- and middle-income countries. This poor access to antenatal care and the obstetric complications contributes to high early neonatal deaths including still births. In high-income countries, access to prenatal care is nearly universal.
In the neonatal period prematurity, infections and asphyxia account for about 80% of all deaths worldwide with most of these occurring in developing countries. The contributing factors to asphyxia, preterm births and neonatal sepsis are predominantly antenatal and intra-partum. Four in ten under-five deaths occur during the first month of life. Among children who survive beyond the first month, pneumonia, diarrhea and malaria are the leading killers with infectious diseases accounting for over two thirds of these deaths. Many of these deaths occur in children already weakened by under-nutrition. Worldwide, more than one-third of all under-five deaths are associated to malnutrition (UNICEF 2012, [18, 19]). Figure 1 summarizes the main causes of neonatal mortality, most of which are preventable.
In developing countries, a significant proportion of deliveries occur outside health facilities and by unskilled birth attendants. In most health facilities, there is lack of equipment and drugs for basic obstetric, neonatal and child health care. In sub-Saharan Africa only between 20 and 70% of all births occur in health facilities, 5–15% of all newborns are resuscitated by a skilled health worker trained in neonatal resuscitation at time of birth and between 10 and 15% of these babies are born in facilities with resuscitation equipment. Facility delivery is known to be the single most effective intervention for preventing maternal and neonatal morbidity and mortality. However, this is only true if there is quality of care at the facility. In Kenya, about 60% of deliveries occur in health facilities and only 7% of newborns are resuscitated by skilled health workers trained on neonatal resuscitation and 22% are born in health facilities with resuscitation equipment (KDHS 2009, Goudar et al. 2011) [19, 20] as illustrated in Fig. 2.
Maternal and neonatal mortality are unacceptably high in Sub-Saharan Africa compared to Western Europe and Northern America. This inequality is supported by the fact in Sub-Saharan Africa only three countries met their targets for MDG 4, 5 and 6(UN, 2013). The question is, why have a few countries succeeded yet they share similar socio-economic contexts with those that have not met their targets?. Since 2000, most countries have focused on interventions that aim to increase health facility delivery and neonatal and early childhood services – high impact interventions for MNCH. Evidence is emerging that during the same period health sector reforms in most Sub-Saharan countries, including Kenya, stalled and healthsystems have remained weak as characterized by inadequate funding (below the Abuja recommended 15% of the national budget), inefficient resource management and poor policy implementation, health workforce crisis, dilapidated infrastructure and weak health information systems .
One emerging challenge to achieving and sustaining desired targets for maternal and child health is neglect of the gap between the community and primary care health facilities, failure to espouse a systems/holistic approach as well as the continuum of the Three Delays Model . In Kenya, the government acknowledged the importance of community-based interventions that stimulate demand for reproductive services by decentralizing the health planning and administrative functions to the district in 1984. However, there was no blue print or coordinated strategy to address the gap between the then level 1 and level 2 of the service delivery system. Although evidence is generally weak on maternal health indicators, information from KDHS (2003) showed that maternal, neonatal and child health indicators had either stalled or were worsening – primarily due to poor quality of care at health facility level (supply) and poor physical, financial and psychological access (demand) to reproductive health services. In 2006, the government formally recognized the importance of closing the gap (interface) between the community and front line facilities by launching the Community Health Strategy. Weak leadership as demonstrated by underfunding, uncoordinated and piecemeal implementation of the strategy has failed to appreciably improve the proportion of pregnant women who deliver at health facilities and by skilled attendants. Indeed some of the promising interventions have largely been small scale and unsustainable limiting the opportunities for replication and scale up.
The complexity of factors influencing maternal, fetal and neonatal mortality necessitate that the conceptual framework is guided by a holistic and systems perspective anchored on WHO’s framework for health systems which is also adopted in the Kenya’s current policy framework ([4, 23, 9, 11]). Figure 3 shows seven sub-systems, viewed as investment areas (inputs) that are linked to the interventions (process) leading to intermediate and long term outcomes.
The project aims to work closely within existing health systems to improve these intermediate outputs which will directly affect the scalability and sustainability of the study interventions. The long-term outcomes to be assessed at the end of the project include effectiveness and sustainability of the intervention in terms of reductions in maternal, fetal and neonatal morbidity and mortality as well as reductions ininequities such as gender.
The implementation of an enhanced health care, shall lead to a significant increase in antenatal care attendance, increase in health facility deliveries and improved pregnancy outcomes. The intervention to be tested is an implementation process “early identification of pregnantwomen and newborns at the community level, encouragement ofantenatal clinic/MCH attendance and assurance of actual delivery of ANC/MCH EHC interventions through follow up at community and facility levels by CHWs and SHWs respectively”.
The intervention: Enhanced health care package (EHC)
Early identification and surveillance of the pregnant woman and newborn babies
Recognition and management of pregnancy-related complications, particularly pre-eclampsia, haemorrhage, premature rupture of membranes and infection
Recognition and treatment of underlying or concurrent illness in pregnancy – malaria, anaemia, infection among others
Screening for conditions and diseases such as syphilis, HIV infection and hepatitis B
Preventive measures through administration of tetanus toxoid, immunisation, de-worming, iron and folic acid supplementation, intermittent preventive treatment of malaria in pregnancy (IPT), prenatal vitamins provision and use of Long Lasting Insecticides Treated Nets (LLITNs)
Developing a birth and emergency preparedness plan
Immunization of all young infants and under-five children born during the study period including Vitamin A administration at 6 months of age and yearly
Obtain weights for all newborns, infants, under five children and pregnant mothers in the community and health facilities by providing weighing scales (infant, adult).
Malaria diagnosis using the rapid diagnostic tests in the community and health facilities
Haemoglobin estimation using Haemocue in the community and at the facilities
To contribute to improvement of maternal and child health in Kenya through health system strengthening initiatives at community and primary care levels.
Conduct baseline survey on current levels of maternal and child health indicators, status of health system and existing programs in all the study areas.
Design and implement EHC package using the FLTR to improve access and quality of care of maternal and child health at tier 1 and 2 in one intervention cluster.
To explore and facilitate partnerships for innovative approaches (IGAs and Chamas) to incentivize CORPs (Community owned resource persons - volunteers), CHWs and Community Midwives (CMWs) to effectively participate in increasing access and retention of pregnant women and children in an intervention cluster.
To assess the effectiveness of the implementation of FLTR and EHC in the improving the efficiency of the referral system between the community (level 1), primary care facilities (level 2) and County referral facilities (level 3) for pregnant women and children in the intervention area.
Tobuild capacity of health workers to conduct health systems research and inculcate a culture of use of evidence to strengthen the performance of health systems through on-job training, in-service certificate and degree programs.
To conduct an endline survey and evaluations on levels of maternal and child health indicators, status of health systems and existing programs in the study areas at the end of the project in all the study clusters.
We are implementing a quasi-experimental community trial. This design allows a comparison of outcomes between the intervention and control arms (Table 5). This quasi-experimental design entails:
Implementation of the EHC through the FLTR strategy in one cluster (Obekai) in Busia.
Facilitation of IGAs/CBOs in the implementation of the health care system in one cluster(Kabula) in Bungoma.
Use of four control sites of Kiminini in Trans Nzoia,Chesunet in UasinGishu, Nyaporo in Kakamega and Nyaru in ElgeyoMarakwet county.
We are implementing the project in a phased manner:
◯ Phase1: In year one we shall carry out a baseline survey in all the six clusters.
◯ Phase 2: We shall initiate interventions in two clusters (EHC/FLTR in Obekai and IGAs/CBOs in Kabula through community participation and ownership. These interventions will be implemented in year 2 toyear 4.
◯ Phase 3: Will consist of an endline survey and evaluation of the project in year 5.
We shall utilise 6 of the 11 counties that Moi University frequently utilises for its health oriented outreach and extension activities. The six are Uasin Gishu, ElgeyoMarakwet, Trans Nzoia, Bungoma, Busia and Kakamega. The other counties used by the University not selected include Nandi, Baringo, West Pokot, Vihiga and Kisumu. One Dispensary was randomly selected from each of the six selected counties from the list in the e-Health Kenya platform.
The study population will be all pregnant women living within the catchment population of the dispensary which is a location (Cluster) headed by a Chief, their newborns and under-five children born during the life of the project.
Two clusters will be randomly selected. One cluster will used as the intervention cluster for the implementation of the EHC through the FLTR strategy over a 3 year period.
The other will be used to implement the community owned and driven health care by encouraging the formation of income generating activities and community based organisations that will be used to fund the level 1 and level 2 health care services over the 3 year period of implementations.
The remaining four clusters and affiliated dispensaries shall be the control clusters in which only baseline and endline/evaluation data will be collected in years 1 and 5 respectively with no intervention implemented.
The heath centres, sub-county and county hospitals will be evaluated in the baseline and endline/evaluation phases of the study in all the 6 clusters.
Previous studies in these areas have shown an estimated 600 pregnant/newborn dyads per cluster per year. We shall therefore expect to enrol 1800 pregnant women/newborn dyads in each intervention cluster (EHC/FLTR intervention cluster and the Partnership using IGAs/CBOs cluster). The expected underfive year old population to be followed up during the study period will be about 5400 for each of the two intervention clusters. In the control clusters we expect to collect data for 6 months in each cluster and therefore obtain information for about 1200 pregnant women/newborns in all the three clusters at baseline and a similar number at endline.
All pregnant women in the study clusters who give written consent.
All newborn babies, infants and under five children born during the life of the study within the study cluster.
Women not resident in the cluster during the study period.
Newborns, infants and underfive children not resident in the study cluster.
Infants and underfive children born before onset of the study in the study clusters
Women living in the cluster that decline to give written consent
Study approach and analysis
Conduct baseline survey on current levels of maternal and child health indicators, status of health system and existing programs in the study areas.
We aim to map the structure and functions of the primary health care system.
In Tier 1, this will be achieved by documenting the numbers, structures, functions and activities of the community units in the selected counties. Key stakeholders including among others, CHWs and community midwives will be identified as well as mechanisms for incentivizing them for their engagement.
At Tier 2, we will assess the functionality of each of the facility using the Structure, Process and Outcome approach as described in the Kenya Quality Model (KHSSP, 2013–2017).
In terms of Structure the specific variables of interest include among others: working hours, human resource, Number of staff and training according to the ministry of health standards, basic EMONC Equipment, supplies and commodity security.
For Processes we will assess availability of job aids such as protocols and guidelines
Lastly, in terms of Outcomes we will assess ANC indicators including gestation age at booking for ANC, Facility delivery, Signal functions for BEMONC. We will also assess the existence of nutritional, immunization and other IMCI services for under-five year old children.
At Tier 3, we will use the same approach as for Tier 2 to assess the same parameters in addition to existence of CEMONC signal functions.
Further in the baseline survey we will review the referral system from Tier 1 to Tier 3assess the strategies, referral destination, costs, types of cases referred and linkage success rate for all levels. Between Tier 2 and Tier 3, we will document the type of communication between the facilities and referral protocols and existence of ambulances.
We will assess the mechanisms used for data capture for the HMIS including, the tools, data collectors, where stored, reporting and how the data is consumed locally.
The baseline assessment will document information on challenges of motivating volunteers, existing and potential partnerships relevant to incentivizing CORPs and CHWs through CHUs. Appropriate information will be collected on willingness to initiate such partnerships and any past experiences relevant to their functioning and sustainability.
Design and analysis
Baseline data collection forms will be developed and data collected and entered into a data base in the computer and analysed using the STATA version 12.
To assess maternal and child health indicators, status of health system and existing programs in the study areas, descriptive statistics will be used for the quantitative data while thematic areas will be derived from the qualitative data.
The results of the baseline survey will be disseminated to the stakeholders.
Objective 2: Intervention: Design and implement EHC package using the FLTR strategy to improve access and quality of care of maternal and child health at tier 1 and 2 in one intervention cluster.
The study population will be all pregnant women living within the catchment population of the dispensary whose catchment population is a location (Cluster) headed by a Chief, their newborns and underfive children born during the life of the project. The intervention will be implemented in this one cluster through the FLTR strategy over a 3 year period.
Implementation of the intervention model – We shall apply the FLTR (Find, Link, Treat, and Retain) strategy to support a successful implementation of Enhanced Health Care (EHC). This requires direct investment in health system elements that directly and indirectly contribute to efficiency of the referral system between the community and primary care levels and the County referral facilities under the new 4-tier health system.
Find – will involve investment in the Human Resources for Health (HRH) component of the health system by influencing recruitment of adequate and competent CHWs from within intervention villages and skilled health workers (SHWs) to follow up. It will involve investment in improvements in management components through strengthening of supervision by trained health workers. There will be use of appropriate technologies and supplies (computers, HMIS, mobile phone and household registers) to improve efficiency and strengthen the health information system.
Link - CHWs will encourage prompt ANC/MCH clinic attendance and schedule ANC/MCH clinic appointments by mobile phone device at the time of initial CHW visit (Link). This links directly to efficiency in Service delivery, investment in technologies (mobile phone) and health information for efficient management of referrals. This will create a link between level 1 and level 2 of the health system.
Treat - The ANC/MCH clinics in the facilities will provide the complete EHC package to each subject and will mainly address the quality of service delivery, technologies and commodities component. These include haemoglobin testing using the haemocue machine and malaria test using the Rapid Diagnostics Tests (RDTs). Any ailments will be treated at the local facility and where referral is needed they will be referred to the higher level facility. Newborns will be given the routine vaccinations, weights taken and prenatal and vitamin A provided including all the relevant services as outlined in the EHC package.
We shall be investing in improvement of quality of care through refresher training of all the skilled health workers in the study dispensary on MNCH, EmONC, ENC, customer care including public relations. The CHWs/CORPs will also be trained using the WHO guidelines on pregnancy surveillance and newborn follow up. This will include on methods of approach to household and villages and confidentiality. We shall provide essential equipment, drugs and dressings as per the essential commodities list of the Ministry of Health for the level 2 facility.
We shall utilise the modified MOH SOPs for this level of care for the management of illnesses at this level. We shall also provide for acceptable waiting time for patients as recommended and will conduct an exit survey for all mothers who are treated at this facility as they leave the facility on the same day.
Retain - Subjects will be tracked and if one defaults the CHW will be dispatched to the subject’s home to counsel the woman/family and accompany the woman to the health facility for the ANC/MCH visit. This component of the intervention links to building efficient and effective health information system that allows for efficiency in monitoring/tracking of subjects at antenatal, delivery and postnatal care. The component will also cover cost-reduction in tracking by applying appropriate technologies such as use of mobile phone. The follow up therefore will range from 6 months to 5 years depending on the month and year of birth over the 5 year study period. This translates into the retention of the women and children in the health system throughout the period of the study. This FLTR strategy will only apply to enrolled pregnant mothers and their infants within the intervention cluster. Women who become pregnant for the second or third time during the 5 year study period will be enrolled and followed up as per protocol. There will therefore be a possible 6 month to 5 year prospective follow up of the mother infant/child dyads once enrolled. There will therefore be cohorts of varying follow up periods ranging from 6 months and 5 years depending on when they are enrolled over the life of the study.
The following will be evaluated at baseline and at endline in the 1stand 5th year of the study:
Increase in antenatal care attendance by pregnant women in the health facilities
Increase in proportion and number of women delivering in health facilities
Reduction in the rate of low birth weight and premature babies born
Reduction in the rates of poor pregnancy outcomes including birth asphyxia, neonatal sepsis, neonatal mortality, maternal mortality, near miss maternal morbidity among pregnant women
Exclusive breastfeeding rate, immunization completion rate, Infant and Young Children Feeding (IYCF) and IMCI parameters, anthropometric indicators.
Objective 3: Innovative partnerships: To explore and facilitate partnerships for innovative approaches (IGAs and Chamas) to incentivize CORPs (Community owned resource persons - volunteers), CHWs and Community Midwives (CMWs) to effectively participate in increasing access and retention of pregnant women and children in the health care system in the intervention cluster.
In this one cluster, we shall work with the community Health Units, village elders, Assistant chiefs and the chief in collaboration with the CHEWs and CHWs to establish income generating units (IGUs) and/or community based organizations (CBOs) in the cluster. The IGUs/CBO will be set up by the communities themselves and run through governance structures established by the communities themselves. The funds from these IGUs/CBOs will be used to incentivize the volunteer CHWs/CORPs to identify pregnant women and their newborns to the local dispensary. The primary care health facility committee will work with these CBOs and IGUs to assist in the funding of some activities including referral costs from the community to the primary care health facility and to the county referral facilities. These IGUs/CBOs will be used to address the transport and birth plans requirements of the pregnant women, their newborns and infants born during the life of the project.
The study population will be all pregnant women living within the catchment population of the dispensary whose catchment population is a location (Cluster) headed by a Chief, their newborns and underfive children born during the life of the project.
We will compare process and outcome indicators at baseline and at end of study for this cluster.
Objective 4: Efficiency of referral system: To assess the effectiveness and sustainability of the implementation of FLTR and EHC in the improvement of the efficiency of the referral system between the community (level 1), primary care facilities (level 2) and County referral facilities (level 3) for pregnant women in the intervention area.
The effectiveness and efficiency of the referral systems will be evaluated in the intervention clusters and compared at baseline to endline in the two clusters where interventions will be applied.
The number of referrals, timeliness of referrals, outcomes of referrals in terms of deaths and feedback provided to the referring facility by the referral facility, access of the referred patients to the doctors and consultants, transport availability and access, availability of referral notes and the detail of the referral and the feedback to the referring facility. Interaction between the referring and referral facility in terms of visits, calls, letters, e mails, frequency of supervisory visits etc. will be recorded and analysed.
Objective 5: Capacity building: To build capacity of health workers to conduct health systems research and inculcate a culture of use of evidence to strengthen the performance of health systems through on-job training, in-service certificate and degree programs.
This will be done through training of masters and doctoral students within the program and beyond in the health systems discipline. These masters and doctoral students will work with thehealth workers and community health workers during the study and implement their research projects at these sites. They will participate in the training and service provision while doing their research projects.
Skilled health workers in the two intervention clusters will also be trained on the job in various areas of relevance to health systems including health systems management, project management and health services management. The health workers will also be taken through refreshers courses on neonatal resuscitation, BEmONC, CEmONC, MNCH, maternal care during labour, breastfeeding, feeding for infants and older children, ENC. This is with the aim of ensuring they provide quality care. They will be standardised every six months to ensure their performance is consistent throughout the study period.
Conduct endline survey/evaluation on levels of maternal and child health indicators, status of health system and existing programs in the study areas at the end of the project in all the study clusters.Theendline survey and evaluation will be carried out in the 6 clusters that were included in the study.As in the baseline survey, we shall document the numbers, structures, functions and activities of the community units in the study counties in the fifth year of the study and the same data forms and tools used for the baseline survey will be utilised in tiers 1 and 2.
In terms of Structure the specific variables of interest include among others: working hours, human resource, number of staff and training according to the ministry of health standards, basic EMONC Equipment, supplies and commodity security.
For Processes we will be interested in availability of job aids such as protocols and guidelines.
Lastly, in terms of Outcomes we will be interested in ANC indicators including gestation age at booking for ANC, Facility delivery, Signal functions for BEMONC. We will also assess the existence of nutritional, immunization and other IMCI services for under 5 year old children.
At Tier 3, we will use the same approach as for Tier 2 to assess the same parameters in addition to existence of CEMONC signal functions.
As in the baseline survey we will be interested in the referral system from Tier 1 to Tier 3. For all the levels we will be interested in the strategies, referral destination, costs, types of cases referred and linkage success rate. Between Tier 2 and Tier 3, we will also be concerned on the type of communication between the facilities and referral protocols and existence of ambulances. We will also assess the mechanisms used for data capture for the HMIS including, the tools, data collectors, where stored, reporting and how the data is consumed locally.
The baseline data collection instruments will be used for the endline survey using the same methodology, data analysis and dissemination.
Anticipated outputs and outcomes
Table 1 shows the expected deliverables, their link to outcomes and how these will influence policy among the beneficiaries.
The dissemination plan is shown in Table 2 to ensure the right information is shared with the right stakeholders at the right time.
Dissemination targets from the key objectives to cluster populations
Objective 1: Conduct baseline survey on current levels of maternal and child health indicators, status of health system and existing programs in the study areas.
Results of the baseline and endline surveys for all clusters will be provided to the respective counties (Table 3).
Objective 2 : Design and implement EHC package using the FLTR to improve access and quality of care of maternal and child health at tier 1 and 2 in one intervention cluster.
Results of the baseline and endline surveys in the intervention cluster
Health facility outputs and outcomes
Exit survey results
Objective 3: To explore and facilitate partnerships for innovative approaches (IGAs and Chama) to incentivize CORPs (Community owned resource persons - volunteers), CHWs and Community Midwives (CMWs) to effectively participate in increasing access and retention of pregnant women and children in the one intervention cluster.
Results of the baseline and endline surveys in the one cluster that this will be implemented
IGAs/CBOs established and sustained and income generated
Proportion of motivated volunteers and members of CHCs
Improved performance targets amongst volunteers comparing intervention and control clusters
Objective 4: To assess the effectiveness and sustainability of the implementation of FLTR and EHC in the improvement of the efficiency of the referral system between the community (level 1), primary care facilities (level 2) and County referral facilities (level 3) for pregnant women in the intervention area
Increase in the referrals to county facilities
Proportional increase in referrals
Pregnancy outcomes for women referred over study period compared to baseline
Objective 5: To build capacity of health workers to conduct health systems research and inculcate a culture of use of evidence to strengthen the performance of health systems through on-job training, in-service certificate and degree programs.
Number of trained health workers, CHWs, CHU officials, County health officers
Number of degree graduates trained
Number of certificate graduates
Number of guidelines developed
Objective 6: Conduct end line survey on levels of maternal and child health indicators, status of health system and existing programs in the study areas?
Results of the endline surveys for all clusters
Study outputs and outcomes
Areas for improvement
Areas for further research and study.
Projected and possible levels of achievements at end of the study
The possible levels of improvements in the indicators is shown in Table 4 as low, medium and high with low meaning modest improvement in indicators and high meaning significant improvement.
Monitoring and evaluation strategy
Table 5 shows what will be monitored and how it will be done including the evaluation. The contribution of the project includes improvement in quality of maternal and child health care, reduction in Maternal Mortality ratio, increase in skilled birth attendance at delivery, reduction in stunting among under-fives, reduction in the under five mortality rate, reduction in Infant mortality rate, increase in fully immunized infants at <12 months, and the number of masters and doctoral graduates.
The proposal will be approved by the Institutional Research and Ethics Committee of the Moi University and by the 6 County Health Management Teams (CHMTs).
The written consent will be obtained from all women enrolled into the study who accept to participate. Those mothers who will be minors (age 12 years and above) will have their consents provided by their guardians or husbands. Illiterate eligible women will have their thumb prints taken and witnessed by an independent adult. The IREC guidelines on confidentiality and on research among vulnerable groups will be followed.
“This work was carried out with the financial support from the National Commission for Science, Technology and Innovation (NACOSTI) and the International Development Research Centre (IDRC) Canada. The views expressed in this work are those of the creators and do not necessarily represent those of the National Commission for Science, Technology and Innovation, and the International Development Research Centre, Canada or their Board of Governors.”
The project timelines are shown on Table 6
Most African countries did not meet the MDGs on reducing child mortality, improving maternal health and combating infectious disease (MDGs4, 5 and 6). Yet, experiences from other continents, as well as recent progress in several countries in the region, prove that the goals can be achieved across Africa. Nevertheless, support for rapid scale-up of proven interventions as well as critically needed investments in basic healthcare systems remains insufficient . In most African countries the basic health infrastructure, human resources, equipment and supplies are inadequate to provide essential maternal, child and reproductive health services, and to control and treat infectious diseases. Malaria and other vector-borne diseases that can be controlled and treated continue to take millions of lives throughout Africa and are spreading to more parts of the continent (MDG Report by African Steering group, ).
The relevance of the health system to maternal and child health can be systematically captured through the building blocks . An efficient and effective health care system requires a leadership and governance structure, a health care financing system, human resources, a health care delivery system, drugs and equipment and a health information system that is robust and accessible.
Leadership and Governance have been observed the world over as an important need for the success of any health care system. This is a requirement for the success of the health care delivery system at all level of care (level 1 to 4 in Kenya).
Healthcare financing is a major hindrance to adequate and satisfactory health care delivery in any country and has been cited as one of the major challenges in developing countries in health care delivery.
Service delivery is a complex sub-system for both developed and developing countries. A functional system should aim to provide safe and quality, feasible, affordable and accessible healthcare. Many countries have tried several health service delivery models and hospital reforms without much success and even the most developed countries are still grappling with achieving optimal health care systems. This requires a systematic approach to collect, interpret and use evidence to inform and improve practices within the health system.
Medical products, vaccines and technologies are a necessity in a health care system without which utilization slows or is poor and therefore must be procured and made available in health facilities.
Health Infrastructure is a crucial sub-system as most health systems in Sub-Saharan Africa are dilapidated and new infrastructure is poorly maintained. A well-functioning health system ensures equitable access to healthcare by ensuring physical infrastructure is available within the required distance, transport infrastructure ensures speedy access and referrals and ICT infrastructure supports timely procurement of supplies and equipment and facilitates effective management of resources.
Health management information system (HMIS) is key in a health care delivery system and has to be functional for a successful system of health care. Mobile phone technology and a Medical Records System are important in a health delivery system in order to obtain disease surveillance, demographic and statistical data for planning and follow up
Human resources are an essential component of a health system and a major shortcoming in sub-Saharan Africa where a deficit of over one million health workers is estimated to exist and Kenya is no exception (WHO 2006). There is a direct linear relationship between the density of human resources in health to maternal and child survival as shown in Fig. 4. In Kenya the health human resources to population ratio is 13/10,000 populations compared with the WHO figure of 23/10,000 population threshold [23, 25].
This project intends to utilize these pillars of the health system to address most of the challenges encountered in health care delivery in Kenya and other low middle income countries over the last several decades.
The results of this study will be useful to policy makers in Kenya and other developing countries in the formulation of guidelines and policies during the revision of their existing health systems in the national health service especially at the primary care level.
Basic Emergency Obstetric and Newborn care
Community Based organisations
Comprehensive emergency Obstetric and Newborn care
Community Health Extension Workers
Community Health Units
Community Health Workers
Community owned resource persons
Enhance health care
Emergency Obstetric and newborn care
Essential newborn care
Find Link Treat Retain
Health systems research
Income generating Units
Integrated Management of Childhood Illnesses
Kenya demographic health survey
Long lasting insecticide treated nets
Maternal child health
Millenium development goals
Maternal Newborn Child health
Strategic development goals
Skilled health workers
United Nations Childrens education fund
World Health organisation
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We thank the NACOSTI and IDRC research teams for their careful review of the proposal, Moi University Management for approving the study to be conducted and the staff in our respective departments for providing us time to conduct the study. Special thanks to Prof. Fredrick Were and Prof. Michael English for their advisory role in the advisory committee.
Funding was obtained from NACOSTI under the IDRC funding mechanism for Research Chairs in kenya
Availability of data and materials
Ethics approval and consent to participate
The proposal was approved by the Research and Ethics committee of Moi university
Consent for publication
The authors have all approved the publication of the proposal.
The authors declare that they have no competing interests.
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