Simulating Alternatives to Achieve 35% Reduction in Maternal
Transcription
Simulating Alternatives to Achieve 35% Reduction in Maternal
Global Development Network Strengthening Institutions to Improve Public Expenditure Accountability Simulating Alternatives to Achieve 35% Reduction in Maternal Mortality by 2015 Dennis Nchor and Jonathan Adabre Integrated Social Development Centre (ISODEC, Ghana) TABLE OF CONTENTS 1. INTRODUCTION AND BACKGROUND ....................................................................................................... 3 Brief Profile of the Five Regions .................................................................................................................... 7 2. LITERATURE REVIEW ................................................................................................................................ 7 3. POLICY ALTERNATIVES ............................................................................................................................ 10 4. METHODOLOGY ...................................................................................................................................... 13 4.1 Data Sources ......................................................................................................................................... 13 4.2 Expected Beneficiaries .......................................................................................................................... 14 4.3 Assumptions .......................................................................................................................................... 14 4.4 Analysis Approach ................................................................................................................................. 15 4.4.1 Relative Benefits ................................................................................................................................ 15 4.4.2 Relative Costs ..................................................................................................................................... 15 4.4.3 Cost-Effectiveness Analysis ................................................................................................................ 17 4.4.4 Sensitivity Analysis ............................................................................................................................. 19 4.4. 5 Measuring Equity of Alternatives...................................................................................................... 19 4.4.6 Paying for the Alternatives ................................................................................................................ 19 APPENDIX .................................................................................................................................................... 20 REFERENCES ................................................................................................................................................ 21 1. INTRODUCTION AND BACKGROUND According to the World Health Organization (WHO), "a maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.1 Statistics from the United Nations indicate that each year, more than 350,000 women in the developing world, between the ages of 15-49 die of pregnancy and child-birth related complications and that Asia and Sub-Saharan Africa accounted for 87 percent (313,000) of global maternal deaths. According to the WHO, a woman's lifetime risk of dying from pregnancy is 1 in 3700 in North America compared to 1 in 16 in Africa. In Ghana, the risk is 1 in 35 (WHO, n.d.). There are varied reasons as to why maternal mortality is so unacceptably high in Africa and for that matter in Ghana. Elizabeth Ransom (2000) in ‘Making Pregnancy Safer’ noted that the risk of dying from pregnancy-related causes is highest in Africa because African women have more children than women on other continents and that the risks become greater with each pregnancy. The Ghana Maternal Health Survey, 2008 identified hemorrhage as the largest single cause of maternal deaths (24 percent). Abortion, hypertensive disorders, sepsis, miscarriage and obstructed labor were also cited as causes of maternal death. Figure I: Causes of Maternal deaths2 *Other direct causes including, for example, ectopic pregnancy, embolism, anaesthesia-related. ** Indirect causes including, for example, anaemia, malaria, heart disease. Kojo Sena (2003) provides both a medical explanatory and socio-cultural context analysis of why maternal mortality is so high in Ghana and highlights how medical conditions and sociocultural factors intertwine to produce maternal morbidity and mortality. According to him delays in accessing emergency gynecological and obstetrics services caused by both medical and socio-cultural conditions is the major causal factor of high maternal deaths in Ghana. He identifies four types of delays — delay in recognition of the dangers associated with a pregnancy, delay in decision to take appropriate action, delay in arriving at a health facility and delay within a health facility — as causing needless maternal deaths. 1 Maternal Mortality in Central Asia, Central Asia Health Review (CAHR), 2 June, 2008 “Coverage of Maternal Care: A Listing of Available Information, Fourth Edition.” World Health Organization, Geneva 1997. 2 Table 1: Estimated average time interval from onset of complication to death Complication Hours Days Hemorrhage (post-partum) Hemorrhage (ante-partum) Ruptured uterus Eclampsia Obstructed labor Infection 2 12 1 2 3 6 Source: Maine et al. (1987) Whatever the cause, the death of a woman due to pregnancy-related complications is indeed tragic and unacceptable in all contemporary societies. In Ghanaian societies this tragic event is sometimes followed by elaborate ritual purification of the whole society (Kodjo Senah 2003). In the contemporary world, maternal mortality is perceived as a violation of the rights of women and its rate as a critical pointer to the level of development of a country (Ibid). Ghana is one of the many developing countries to ratify international conventions; the International Conference on Population and Development (ICPD); the Maputo Plan of Action; the Abuja target of allocating at least 15 percent of the national budget to health and the Campaign to Accelerate Reduction of Maternal Mortality in Africa (CARMMA), all aimed at improving reproductive and maternal health in line with the country’s avowed goal of protecting the rights of women. Ghana has also committed itself to achieving the United Nations’ Millennium Development Goals (MDGs) on maternal health, infant mortality and HIV/AIDS, tuberculosis, malaria and other diseases — most often referred to as the ‘Health MDGs’ — by putting in place various reproductive health policies, including the adolescent reproductive health policy, safe motherhood protocols, reproductive health strategy plan and child health policy as well as declaring maternal mortality as a national emergency in 2008, all to improve maternal and child health. It has also signed many legislative and human rights instruments such as the Convention on the Elimination of all forms of Discrimination (CEDAW) and the International Covenant on Economic, Social and Cultural Rights (ICESCR) among others that promote the welfare of women, particularly the MDGs (5). In spite of all these, reduction in maternal and child mortality remains unattained. The unmet need for family planning remains at a high 35 percent, skilled delivery at a low 45.6 percent; acute shortage of midwives persists while health staff remains inequitably distributed, with 43 percent of doctors in Greater Accra Region and 4 percent for three northern regions (MOH review report, 2010). According to the World Bank Global Monitoring Report (2012), corroborated by the CIA Factsheet (2012), and UNICEF (2012), Ghana’s maternal mortality ratio (MMR) stood at 350/100,000 live births as in 2008, falling from a ratio of 540/100,000 in 2000 to 451/100,000 in 2007 and 350/100,000 in 2008. The reduction, however, is not the same for all regions. There are disparities in the institutional maternal mortality rate (MMR) across the 10 regions in Ghana, from 1992 to 2008, in the Northern and Western regions; 120.1 per 100,000 in Volta and the Eastern regions; and 59.7 per 100,000 in the Upper West, Brong Ahafo and Ashanti regions. The only region where the ratio has worsened is Greater Accra (by 87.6 per 100,000). Source: Ghana Census 2010 With the current trend of progress, Ghana is unlikely to achieve the target of MDG 5 by 2015. Indeed, Ghana’s human rights body, the Commission on Human Rights and Administrative Justice (CHRAJ), in its 2011 report on the ‘State of Human Rights In Ghana’ indicated that if the current trend continued, maternal mortality would reduce approximately to 340 per 100,000 live births by the set date of 2015. This has prompted calls by various stakeholders including the WHO3 and the UNDP for the implementation of simple community-based interventions that will aid the defaulting countries, 3 WHO: Essential Interventions, Commodities and Guidelines for Reproductive, Maternal, Newborn and Child Health (RMNCH), December 2011. like Ghana, attain the MDG 5 target by 2015. Recent experiences in Ghana demonstrate that success is possible and that evidence-based effective interventions can be identified for realizing the MDGs. This development has led to the current MDG Acceleration Framework (MAF) which is to capitalize on the existing commitment and capture the evidence available to put forward concrete and realistic proposals to scale up the achievement of the MDGs. The focus of the Action Plan is on MDG 5 because the progress in reducing the maternal mortality ratio by three quarters by 2015 is off track. Hence the main goal of the MAF is to redouble efforts to overcome bottlenecks in implementing the interventions that have proven to have worked in reducing the maternal mortality ratio in Ghana. The MAF focuses on improving maternal health at the level of both community and healthcare facilities through the use of evidence-based, feasible and cost-effective interventions in order to achieve accelerated reduction in maternal and newborn deaths. The three key priority intervention areas identified are: improving family planning, skilled delivery and emergency obstetrics, and newborn care.4 It is in this context that the Integrated Social Development Centre (ISODEC) is simulating two policy scenarios: (1) Training and deploying Skilled Birth Attendants (SBAs) at health centers in the five worst affected regions of Ghana by the year 2015 and (2) Training and deploying SBAs at district hospitals in the five worst affected regions of Ghana by the same year to find out if one or both will help Ghana achieve, or be close to achieving, the MDG 5 target of a maternal mortality rate of 185 per 100,000 live births by 2015. The simulation seeks to answer the following question and to establish certain related aspects of each policy alternative. What policy alternative/s would reduce maternal mortality in Ghana by a significant rate of 35 percent by the year 2015 so as to attain the MDG 5 target or be close to the target by that date? The research will also seek to establish the cost associated with each of the policy alternatives and measure the cost-effectiveness ratio for each policy intervention. It also seeks to establish the benefit incidence analysis as well as the relative effectiveness of each policy intervention to measure the benefits, particularly to the poor It will seek to establish how the chosen policy option will be financed and draw conclusions as to the way forward. For the purpose of achieving direct results from this simulation, and given the data requirement challenges, this research would focus more on 5 out of 10 regions of Ghana that are deprived and that have the highest maternal mortality. The five regions include the three northern regions (Northern, Upper East and Upper West), Volta and Central regions of Ghana. 4 MDG Acceleration Framework and Country Action Plan; July 2011 BRIEF PROFILE OF THE FIVE REGIONS Maternal deaths have been attributed to a large number of factors but the situation in the three northern regions is exacerbated due to causes ranging from poverty, inaccessible and unavailable hospitals, poor road networks, unqualified health personnel, negligence on the part of the health personnel and other undesirable customary practices, all of which are contributing factors to the ever increasing rate of maternal deaths. Studies in Ghana have shown that access issues tend to be more pronounced in areas with a range of interlocking socio-economic factors. For example, high levels of illiteracy, low levels of human resource and economic development, low levels of democratic participation, high levels of infant and child mortality and morbidity, and low levels of general family health, among others (Ministry of Education, 2002). In Ghana such areas are more likely to be found in the northern parts. Source: EMoNC Survey (2010). 2. LITERATURE REVIEW Simulation has been used unsystematically since the early days of medicine (Amitai Z., et al. 2003). In the 16th century, mannequins (referred to as phantoms) were developed to teach obstetrical skills and reduce high maternal and infant mortality rates. Today, it is common for students to administer their first injections on an orange, practice suturing on pieces of cloth, rehearse medical interviews while role playing, or practice physical examination on simulated (standardized) patient-actors (Ibid). Though healthcare simulation has lagged behind other high-hazard professions, such as aviation, nuclear power and military due to a number of reasons including cost, lack of rigorous proof of effect and change resistance, the scourge of maternal and neonatal mortality has led to increased simulations around the myriad factors causing maternal and neonatal deaths, all aimed at arriving at concrete policy options that will either eliminate maternal deaths or reduce their rate. According to Kodjo Senah (2003) global attention began to be focused more seriously on maternal mortality in 1985, when Rosenfield and Maine (1985) published a thought-provoking article in the Lancet. In the article titled 'Maternal Mortality — a neglected tragedy — where is the M in MCH?', Rosenfield and Maine alerted the world to the fact that many developing countries were neglecting this important problem and that the existing programs were unlikely to reduce the high maternal mortality rates in the developing world. Another significant contribution to the crusade against maternal mortality was the WHO (1986) publication, 'Maternal Mortality: helping women off the road to death.' All these led to the Safe Motherhood Conference in Nairobi, Kenya in 1987. Ever since, a series of policy simulations have been carried out to find policy solutions to the problem. Employing a multivariate analysis, Lavest A. Thomas (1990) examined the degree to which the substantial race disparities in post neonatal mortality are a function of race disparities within the prevalence of poverty. The analysis specifies a race-specific model of post neonatal mortality. It concludes that racial post neonatal mortality differentials may be addressed by effective policy that reduces disparities in socio-economic status, implying that poor socioeconomic conditions led to increased rate of maternal and neonatal deaths. Similarly, Hotchkiss R.D., et al. (2005) examined the role of household out-of-pocket costs and structural attributes of quality on the use of maternity care in Morocco using empirical data collected from both households and healthcare facilities. In the study, a nested logic model was estimated; the coefficient estimates were used to carry out policy simulations of the impact of changes in the levels of out-of-pocket fees and structural attributes of quality to guide the policymakers responsible for the design of a pending social insurance program. It was found that social insurance strategies involving increases in out-of-pocket charges in the form of copayments could be implemented without untoward effects on the appropriate use of maternity care for non-poor women, but would be contraindicated in the case of poorer and rural households. In examining alternative strategies to reduce maternal mortality in India, Goldie S.J., et al. (2010) used a computer-based model that simulated women through pregnancy and childbirth to estimate the effect of different strategies (for example, increased family planning or greater access to obstetric care) on clinical outcomes (pregnancies, live births, or deaths), costs, and cost-effectiveness (the cost of saving one year of life). It found that an increase in family planning was the single most effective intervention in reducing pregnancy-related mortality, capable of averting more than 150,000 maternal deaths and saving more than US$1 billion if prevailing unmet need for family planning in India could be fulfilled over the next five years. It, however, found that increased family planning alone could reduce maternal deaths by only 35 percent at the most but that an integrated and a step-wise approach (increased family planning and safe abortion combined with consecutively increased skilled birth attendants, improved care before and after birth, reduced home births, and improved emergency obstetric care) could eventually prevent nearly 80 percent of maternal deaths. On causal factors such as hemorrhage, Sutherland Tori and Mishai M. David (2009) simulated the use of Misoprostol as a cost-effective postpartum hemorrhage control intervention and concluded that iron supplementation may be worthwhile in improving women's health, but that uncertainty remained as to whether it could prevent mortality after hemorrhage. The study, however, established that the use of Misoprostol as a postpartum hemorrhage preventive intervention resulted in a 38 percent decrease in maternal deaths, while prenatal iron supplementation resulted in a 5 percent decrease. The role and effectiveness of skilled birth attendants has been largely explored in some research work. A study in rural Nepal showed that women’s group activities influenced women to seek prenatal care, childbirth with a skilled birth attendant, and better hygiene, resulting in a 30 percent reduction in neonatal mortality and 80 percent reduction in maternal mortality (D. Manandhar, et al. 2004). While SBAs can attend births either in women's homes or in health facilities, their power to save maternal lives increases dramatically with appropriate back-up (i.e., medical personnel and equipment), which forms a strong argument for facility-based deliveries. Since maternal complications are often unpredictable, woman in labor and delivery will remain safest if attended by an SBA in a well-supplied and functioning health facility. A woman's next safest option would be to give birth at home attended by an experienced SBA with the necessary equipment and drugs (Prata et al. 2011). Bhutta et al. (2010) in their systematic review on human resources for health interventions to improve maternal health outcomes found that human resource can improve both healthworker performance and maternal health outcomes. They also found that two quasiexperimental, two cross-sectional and eight before-after studies, mostly from Africa and SouthEast Asia, assessing the effects of HR training interventions showed that training the skilled birth attendants and other healthcare workers improved the basic knowledge and skills (such as abdominal examinations and safety measures when taking blood samples) of more than 70 percent of staff, and reduced maternal mortality in most locations. In Ghana, there have not been many studies directed at simulating the effectiveness of the proposed policy alternatives — the training and deployment of SBAs to all underserved communities, particularly the district hospitals and health centers — in reducing maternal mortality. However, there have been studies for the evaluation of a program to train the traditional birth attendants (TBAs). For instance, Neumann et al. (1974) showed that the training program for TBAs has a favorable impact on the midwifery care given to women, thus decreasing maternal and infant mortality. However, a systematic review lends support to early findings suggesting that trained TBAs, without the support of skilled back-up services do not reduce the maternal mortality ratio. In Ghana deliveries assisted by TBAs are not regarded as skilled care at delivery (MDG 5 Review, November Summit, 2008). Tamunosa et al. (2007) also sought to look at safe motherhood programs in Ghana, Burkina Faso and Indonesia and came out with the findings: Many funding agencies supposedly supporting safe motherhood programs in Ghana are actually pursuing a broader reproductive health agenda. All but two of the initiatives examined had multiple goals, many placing high importance on the reproductive health agenda. Also, safe motherhood programs in Ghana are mostly donor-funded, and many of the funders have reproductive, sexual health or family planning goals. Some donors continue funding outside of the SWAp, which could create an imbalance in the attention paid to national targets; the program design reflects a focus on the supply-side activities, maintaining a top-down approach in decision-making and creating an imbalance of behavior change or community mobilization interventions. 3. POLICY ALTERNATIVES The goal of the policy simulation exercise is to help identify policy alternatives that will reduce maternal mortality by 35 percent by the year 2015 so as to enable Ghana to achieve the MDG 2015 target of MMR of 185 per 100,000 live births. The exercise is largely informed by the fact that most maternal deaths and disabilities could be averted if all births were attended by a skilled health professional with access to a quality referral facility (FCI 2002). Also, the survey results indicate that Ghana is unlikely to meet the MDG 5 target by the set date; this in response to the urgent call for the implementation of innovative approaches to fast-track the reduction in maternal mortality rates leading up to the achievement of the MDG target. The proposed policy alternatives are: i. The training and deployment of Skilled Birth Attendants (SBAs) at district hospitals in the deprived regions in Ghana ii. The training and deployment of Skilled Birth Attendants (SBAs) at health centers in the deprived regions in Ghana In reviewing the existing policies and interventions available for attaining the MDG 5 in Ghana, the MDG Acceleration Framework and Country Action Plan, Ghana (2011) team identified three key interventions that emerged as having great impact on maternal health, namely, family planning (FP); skilled delivery services (SD); and emergency obstetrics and neonatal care (EmONC). Going by the review, it is our considered opinion that the target of 35 percent reduction in maternal mortality by the year 2015 is possible and achievable given the availability of such evidence within and outside the country. Table 1: Trends in skilled delivery by region (2006-2010) Supervised Delivery 2007 2008 2009 Ashanti Region 26.7 35.0 42.4 Brong Ahafo 34.5 49.8 53.7 Central Region 22.3 56.3 52.5 Eastern Region 43.1 48.0 52.1 Greater Accra 43.1 50.2 47.9 Northern 27.7 26.0 36.1 Upper East 43.5 40.4 52.6 Upper West 32.9 40.6 36.7 Volta 33.3 37.5 39.4 Western 17.6 39.1 42.6 National 32.1 42.2 45.6 2010 53.4 54.0 51.6 48.2 54.4 36.8 59.7 46.5 36.9 49.6 49.5 Source: Ghana Health Service; 2010 Annual Report One of the objectives of the Millennium Development Goal accelerated framework is to achieve 80 percent skilled delivery coverage by the year 2015. Skilled delivery rate improved nationally from 45.6 percent in 2009 to 49.5 percent in 2010. However, there are inter-regional variations: Upper East, Western, Northern, Ashanti and Brong Ahafo region have all shown consistent increase in skilled delivery from the year 2008. Greater Accra recovered from the drop in 2009 and increased coverage to 54.4 percent; this may be a reflection of the improvement in data collection from the private sector. There has been a reduction in coverage in the Volta and Eastern region. Skilled delivery coverage, which is delivery carried out by a trained health worker is dependent on the distribution of the skilled staff. The Volta region has seen a worsening in the midwife-to-population ratio during the year 2010. Also most of the nurses here are old, so they are not practicing. A skilled birth attendant defined by WHO as “an accredited health professional — such as a midwife, doctor or nurse — who has been educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborns. Traditional birth attendants, trained or not, are excluded from the category of skilled attendant at delivery. In developed countries and in many urban areas in developing countries, skilled care at delivery is usually provided in a health facility. However, birth can take place in a range of appropriate places, from home to tertiary referral center, depending on availability and need, and WHO does not recommend any particular setting. Home delivery may be appropriate for a normal delivery, provided that the person attending the delivery is suitably trained and equipped and that referral to a higher level of care is an option.” In Ghana, professional assistance at birth for women in urban areas, it has been found, is twice as likely than for women in the rural areas (MOH 2008). Achieving skilled attendance at delivery for all has been a huge challenge. However, the proportion of births attended by a Skilled Birth Attendant (SBA) is a key indicator of the level of progress towards MDG 5. In relation to the decentralization process in the 10 regions and 138 districts and sub-districts, the organizational structure of the national healthcare system in Ghana includes a hospital at the regional level. Below the regional level, rural healthcare is divided into three levels: district hospitals, sub-district health centers or polyclinics, and CHPS/Community-level facilities. At the community level, a small health point is located in one village, covering several (5–10) villages. In the best-case scenario, a community health officer is assisted by a professional nurse, an auxiliary nurse, midwives, and one or two community health volunteers (USAID, June 2006). Evidence suggests that the best strategy for reduction in maternal mortality is likely to be one in which women routinely choose to deliver at a health center, with midwives as the main providers (basic essential obstetric care). The treatment component would include all the basic emergency obstetric functions, apart from blood transfusions or surgery, which would be available at the referral level as comprehensive emergency obstetric care. Ensuring that such services are within women’s easy reach at the time of delivery would also ensure their being close enough to receive timely help should the need for emergency care arise during the antenatal or postpartum period (November Summit 2008: Progress towards Millennium Development Goal 5 in Ghana). It has been calculated that, with an assumed load of 150 deliveries annually per midwife, plus associated prenatal and postnatal care, around 400,000 midwives will have to be trained (Walraven & Weeks 1999). These estimates can be expected to rise as increasing numbers of young women enter the reproductive age group. The training of the SBAs becomes necessary for the newborn’s health. During pre-service education, they may have had some degrees in the care of the mother but for most of them, the competence thus achieved remains irrelevant to newborn care, which is at best inadequate. In some countries, even after formal training in midwifery, the health worker at the peripheral level is given a number of additional responsibilities that often have no relevance to the birthing process but that are overwhelming. As a result, the health worker may forget some of the skills learnt. The study gave an example citing the auxiliary nurse midwife (ANM) in India who has many responsibilities related to family planning, immunization and other activities that have no connection to birthing and care of the newborn infant. In addition, many of the ANMs do not stay close enough to the village homes to be able to attend the deliveries easily. Transport is poor and the ANM is not always equipped with the supplies to handle the mother and the baby efficiently at birth. Hence, the skilled birth attendant needs to have and maintain — through in-service training, supervision techniques, and continued practice — skills not only for managing the mother but also to deal with the baby. Supervision and monitoring of SBAs should include indicators relevant to both the mother and baby (Narayannan et al. 2005). There are dire constraints in terms of human resources, although the situation is improving with higher output of training centers and reduced international migration. Nurse/Midwife population ratio is currently estimated at 1:1,510 with large disparities for access in favor of Greater Accra and Kumasi. Ithas been estimated that there is a need for approximately 5,000 new midwives (not yet including the need as identified above, when converting CHPS into birthing centers). In terms of increasing the number of newly trained staff, the largest barrier to overcome is the need for sufficient teachers and trainers who are competent in midwifery theory and in clinical practice. To achieve the right balance between numbers and quality, adequate funds and a cost effectiveness analysis are necessary, in turn dependent upon having policies and strategies in place (Health Summit Report, November 2010). Period 2012 2013 2014 2015 Total Additional maternal deaths prevented relative to impact year 250 380 415 432 1,477 Additional deaths prevented in babies aged < 1month relative to impact year 1,641 2,880 3,512 3,762 11,795 Stillbirths prevented relative to impact year 75 141 182 200 598 Most maternal deaths and disabilities could be averted if all births were attended by a skilled health professional with access to a quality referral facility (FCI 2002). 4. METHODOLOGY This section details the step-by-step plan as to how the policy simulation exercise will be conducted. It deals with issues such as source and methods of data collection, the underlying simulation assumptions, measurement of relative effectiveness, costs of the alternatives, measurement of equity in the alternatives, paying for the alternatives as well as the sensitivity analysis. 4.1 Data Sources The major source of data for this analysis is from the Ministry of Health, Ghana Health Service and also from the Ghana living Standard Survey (2005). In few cases, some estimates were made using individual midwife average income and expenditure information. 4.2 Expected Beneficiaries Number of Women in Fertility Age (WIFA) 2012 who do not have access to skilled delivery 864,644 % of WIFA who would access district hospitals (Source: EMoNC 2010 Survey) 51.50% 445,292 % of WIFA who would access health centers 34.6% 299,167 Source: Author Generated The expected total number of beneficiaries for Policy A is 445,292 and this constitutes 55.5% of WIFA who do not have access to skilled delivery and would go to district hospitals, while the total expected number of beneficiaries for Policy B is 299,167 which constitutes 34.6 percent of WIFA who would go to health centers and other sub-district structures. 4.3 Assumptions It is assumed that women giving birth would opt for supervised deliveries in preference to alternatives, provided that barriers of distance, cost and cultural acceptability are overcome, and if staff in the facilities has the necessary interpersonal skills to support women. Zero inflation rate The capital costs to educate midwives may include school construction and equipment purchases The recurrent costs typically to train them include facility costs (operation, maintenance and supplies), student accommodation and meals, student allowance, staff costs such as salary, incentives and benefits.. The cost of midwifery kits and cord package is constant for both Policy A and B The cost of training midwives includes all other administrative costs No transportation cost for those at the district hospital since bungalows are close to health facilities Accommodation at the community level requires transportation to and from health facility 20 working days in a month Growth rate for Women in Fertility Age (WIFA) at 1.1 percent based on trend analysis from 2007 to 2010 (2010 Annual Reviewers Report for Upper East; Ghana Health Service) Trained midwives would largely be deployed at district hospitals and health centers 4.4 ANALYSIS APPROACH 4.4.1 Relative Benefits The benefits would largely consider the deaths averted by instituting both policies and the lifetime earnings of the beneficiaries of the policy interventions 4.4.2 Relative Costs The cost for Policy A would involve the total cost of training a midwife, personnel salary, midwifery kits. In addition to these costs, we would also consider the accommodation of personnel to the district (Government) bungalow, cost of transportation to the facility. Policy B would also consider, in addition to the total training cost, personnel salary, midwifery kits; the accommodation cost at the community level, cost of transportation to the facility. This implies that both the capital and recurrent cost for both the interventions are the same. However, the cost of the two programs would vary in terms of the estimated number of people who visit the district hospital as against those who visit the health center. The detailed cost breakdown of the interventions is as follows: Detailed Cost Breakdown for Policy A UNIT COST per midwife Source/ Basis per year Cost for training midwife $500.67 The state of the World’s midwifery 2011 report Cost of Personnel Salary $8273 Ghana Health Service Accommodation cost (usually $827.3 Interview with provided with Government Midwife (10% of bungalows) salary) Total cost for training and $9600.97 Author’s own deploying midwives to district calculation from hospital reports and interviews Other parameters used High end: At least 1.88 JLI-WHO benchmark midwife to 1000 people (Ministry of Health; Low end: At least 0.3 Human Resource for midwife to 1000 people Health development; Annual Report 2011) Exchange rate: $1 = Bank of Ghana, GHS 1.9 November 2012 Discount rate: 10% Base rate: Cost of borrowing COST ITEM 1. 2. 3. 4. 5. 1. 2. 3. Detailed cost breakdown for Policy B COST ITEM UNIT COST per midwife per year Cost of training midwife $500.67 Cost of Personnel Salary Accommodation cost (usually selfaccommodation at the community level) Transportation to health facility $8273 $189.47 5. Total Unit cost for training and deploying midwives to health centres $9342 6. Other parameters used High end: At least 1.88 midwife to 1000 people Low end: At least 0.3 midwife to 1000 people Exchange rate: $1 = GHS 1.9 Discount rate: 10% 4. $378.9 Source/ Basis The state of the world’s midwifery 2011 report Ghana Health Service Interview with midwife at health center Interview with personnel Author calculation based from health reports and interviews with health personnel JLI-WHO benchmark (Ministry of Health; Human Resource for Health development; Annual Report 2011) Bank of Ghana, November 2012 Base rate: Cost of borrowing 4.4.3 Cost-Effectiveness Analysis Effectiveness (Additional Women in Fertility (WIFA) Age gaining access to skilled delivery) and Estimated Cost of Policy Alternative A Year 2012 2013 2014 2015 Training and deployment of midwives at district hospitals Projection of WIFA (Beneficiaries) Average WIFA growth Projection of WIFA who already have access to skilled delivery Projection of pupils who do not have access to skilled delivery Policy Simulation objectives ( increasing access to skilled delivery from current 54% in 2012 to 95% by 2015) Additional Average rate to increasing access to skilled delivery Policy Simulation objectives ( reducing maternal mortality rate by 35% from the current 47% rate for achieving the MDG 5 by 2015) Additional Average reduction rate to reaching MDG target 445,292 450,190 455,142 460,149 1.1% 529071 1.1% 534891 1.1% 540775 1.1% 546723 450,190 455,142 460,149 54 64 85 95 - 10 31 41 47 55.7 74 82.7 - 8.7 27 35.7 45,019 141,094 188,661 445,292 Projected increment in WIFA accessing skilled delivery Total WIFA who would have access to skilled delivery after Policy A - - 579,910 681,869 735,384 Cost from simulation Projected annual average inflation Cost per midwife deployment US$ 9% 9601 8640.9 41 205 1968199 US$ 9% 10465.1 9418.6 41 213 2229057 US$ 9% 11406.9 10266.2 41 222 2532335 US$ 8% 12319.5 11087.5 41 231 2845797 1771379 2006151 2279101 2561217 Present Value (10% discount) Total number of district hospitals Total number of midwives deployed Total Annual (Incremental) cost Net Present value @ 10% discount rate of Total Cost Effectiveness (Additional Women in Fertility (WIFA) Age gaining access to skilled delivery) and Estimated Cost of Policy Alternative B 2011/ 2012/ 2013/ 2014/ Year 2012 2013 2014 2015 Training and deployment of midwives to Health Centers 299,167 302,458 305,785 309,149 Projection of WIFA (Beneficiaries) 1.1% 1.1% 1.1% 1.1% Average WIFA growth Projection of WIFA who already have access to 355454 359364 363317 367313 skilled delivery Projection of pupils who would not have access to 299,167 302,458 305,785 309,149 skilled delivery Policy Simulation objectives ( increasing access to skilled delivery from current 54% in 2012 to 95% by 54 64 85 95 2015) Additional Average rate to increasing access to skilled delivery 10 31 41 Projected increment in WIFA accessing skilled delivery Total WIFA who would have access to skilled delivery Cost from simulation Projected annual average inflation Cost per midwife deployment Present Value (10% discount) US$ 9% 9342 8408 US$ 9% 10183 9165 US$ 9% 11099 9989 US$ 8% 11987 10788 Total number of health centers 435 435 435 435 Total number of midwives deployed 435 452 470 4063770 4602617 5216638 488 5849738 3657393 4142355 4694974 5264764 Annual (Incremental) Total Cost Net Present value @ 10% discount rate of Total Cost 4.4.4 Sensitivity Analysis 4.4. 5 Measuring Equity of Alternatives The benefit would be measured using the equity that would be distributed to the various socioeconomic groups (quintiles) using the Ghana Living Standard Survey (GLSS V), and the total expenditure for these alternatives. The benefit would be measured using the benefit-incidence analysis. The equity focuses on the socio-economic status as measured by income, wealth or consumption, thus spreading benefit among socio-economic groups to ascertain which income group would experience considerable impact from the reduction in maternal mortality. Concentration index which is a quantitative technique for health equity analysis and provides a means of quantifying the degree of income-related inequality in a specific health variable would also be used. 4.4.6 Paying for the Alternatives According to ISODEC/UNICEF budget analysis report (2010), the health sector has received cuts in expenditure, particularly for investments expenditure. For instance in 2008 actual health investment expenditure was over 59 percent less than what was budgeted at the beginning of the year. Furthermore, the actual health investment expenditure in 2008 fell short by about 38 percent of what was actually spent in 2007, and in 2007, this expenditure fell short by about 21 percent of the amount actually spent in 2006 in nominal terms. This simulation exercise would explore the existing funding mechanisms for the health sector which are usually internally generated and also through general budget support from donors. The exercise would also explore the possible areas for the government to raise revenue, particularly through savings that can be ploughed back into the provision of these health services. Tax-based financing that is more equitable and progressive, particularly from Ghana’s extractive sector, could also be explored to provide funding for these policy alternatives. APPENDIX Calculation of Expected Beneficiaries NAME OF REGION Women in Fertile Age (WIFA) as at 2010 WIFA 2011 (1.1% of 2010 WIFA)5 WIFA 2012 (1.1% of 2011 WIFA) Number of WIFA who had access to skilled delivery (2012) Number without access to skilled delivery Distribution of trainee midwives as at 20116 Upper East 246,350 249,060 251,800 136,727 115,073 113 118 6 33 Upper West 157,646 159,380 161,133 87,495 73,638 165 172 5 56 Northern 527,980 533,788 539,660 293,035 246,625 80 83 9 122 Volta 459,968 465,028 470,143 255,288 214,855 236 245 12 144 Central 459,107 464,157 469,263 254,810 214,453 86 89 9 80 Total 1,851,051 1,871,413 1,891,939 1,027,323 864,644 680 707 41 435 Average skilled delivery rate for 2012 (based on 2010 projections of the 5 regions) 54.3% Source: GSS (2010 projection): Average number of midwives in a health center = 1 Average number of midwives in a district hospital = 5 (Source: Interview with Ghana Health Service Personnel) 5 Total Number of midwives = 41*5 = 205 in 2012 to district hospital Total Number of midwives to health center = 435*1 = 435 All decimals have been converted to the nearest absolute figure Human Resource for health development ; 2011 Annual Report 7 Assumption based on increment rate in production of midwives from 2009 to 2010; Health Sector Report 2010 8 Annual Reports and 2010 Health Facts and Figures; GSS 6 Distribution of trainee midwives 2012 (4% of 2011)7 Number of district hospitals Number of Health Centres8 REFERENCES Alto W A, Albu R E, Irabo G (1991). 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