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      A cost function analysis of child health services in four districts in Malawi

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          Abstract

          Background

          Recent analyses show that donor funding for child health is increasing, but little information is available on actual costs to deliver child health care services. Understanding how unit costs scale with service volume in Malawi can help planners allocate budgets as health services expand.

          Methods

          Data on facility level inputs and outputs were collected at 24 health centres in four districts of Malawi visiting a random sample of government and a convenience sample of Christian Health Association of Malawi (CHAM) health centres. In the cost function, total outputs, quality, facility ownership, average salaries and case mix are used to predict total cost. Regression analysis identifies marginal cost as the coefficient relating cost to service volume intensity.

          Results

          The marginal cost per patient seen for all health centres surveyed was US$ 0.82 per additional patient visit. Average cost was US$ 7.16 (95% CI: 5.24 to 9.08) at government facilities and US$ 10.36 (95% CI: 4.92 to 15.80) at CHAM facilities per child seen for any service. The first-line anti-malarial drug accounted for over 30% of costs, on average, at government health centres. Donors directly financed 40% and 21% of costs at government and CHAM health centres, respectively. The regression models indicate higher total costs are associated with a greater number of outpatient visits but that many health centres are not providing services at optimal volume given their inputs. They also indicate that CHAM facilities have higher costs than government facilities for similar levels of utilization.

          Conclusions

          We conclude by discussing ways in which efficiency may be improved at health centres. The first option, increasing the total number of patients seen, appears difficult given existing high levels of child utilization; increasing the volume of adult patients may help spread fixed and semi-fixed costs. A second option, improving the quality of services, also presents difficulties but could also usefully improve performance.

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          Most cited references7

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          Can the world afford to save the lives of 6 million children each year?

          In July, 2003, the Bellagio Study Group on Child Survival estimated that the lives of 6 million children could be saved each year if 23 proven interventions were universally available in the 42 countries responsible for 90% of child deaths in 2000. Here we assess the cost of delivering these interventions, and discuss whether the achievement of the Millennium Development Goal (MDG) for child survival falls within the financial capacities of donors and developing countries. All child survival interventions shown to reduce mortality from the major causes of death in children younger than 5 years were incorporated into a delivery timetable comprised of 18 contacts between a child or mother and a health-care provider in the period from before birth until the child reaches 5 years. The running costs of delivering the interventions at universal coverage levels were calculated as the sum of unit costs for drugs and materials, delivery costs, and programme management and support costs, including supervision. We estimated the cost of providing interventions at coverage levels reported for 2000 and the additional costs of providing services at universal coverage levels. USD 5.1 billion in new resources is needed annually to save 6 million child lives in the 42 countries responsible for 90% of child deaths in 2000. This cost represents 1.23 dollars per head in these countries, or an average cost per child life saved of 887 dollars. Sensitivity analyses for salary levels for community delivery agents, drug costs, and coverage rates for 2000 were used to develop uncertainty estimates around the USD 5.1 billion annual price tag that range from about 3.1 billion dollars to 8.0 billion dollars. Achieving the MDG for child survival is affordable for donors and developing countries. Scaling up health delivery is the challenge, and, along with the lack of funds, will be the limiting factor in reducing child mortality by two-thirds by 2015.
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            How do we determine whether community health workers are cost-effective? Some core methodological issues.

            Since the Alma-Ata Conference in 1978 reiterated the goal of "Health for All by the Year 2000", health service delivery programs promoting the primary health care approach using community health workers (CHWs) have been established in many developing countries. These programs are expected to improve the cost-effectiveness of health care systems by reaching large numbers of previously underserved people with high-impact basic services at low cost. However, there is a dearth of data on the cost-effectiveness of CHW programs to confirm these views. This may be because conventional approaches to economic evaluation, particularly cost-effectiveness, tend not to capture the institutional features of CHW programs. Therefore, this paper aims to examine the means by which economic methods can be extended to provide evidence regarding the cost-effectiveness of CHWs in developing countries.
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              Measuring the quality of child health care at first-level facilities.

              Sound policy and program decisions require timely information based on valid and relevant measures. Recent findings suggest that despite the availability of effective and affordable guidelines for the management of sick children in first-level health facilities in developing countries, the quality and coverage of these services remains low. We report on the development and evaluation of a set of summary indices reflecting the quality of care received by sick children in first-level facilities. The indices were first developed through a consultative process to achieve face validity by involving technical experts and policymakers. The definition of evaluation measures for many public health programs stops at this point. We added a second phase in which standard statistical techniques were used to evaluate the content and construct validity of the indices and their reliability, drawing on data sets from the multi-country evaluation of integrated management of childhood illness (MCE) in Brazil, Tanzania and Uganda. The statistical evaluation identified important conceptual errors in the indices arising from the theory-driven expert review. The experts had combined items into inappropriate indicators resulting in summary indices that were difficult to interpret and had limited validity for program decision making. We propose a revised set of summary indices for the measurement of child health care in developing countries that is supported by both expert and statistical reviews and that led to similar programmatic insights across the three countries. We advocate increased cross-disciplinary research within public health to improve measurement approaches. Child survival policymakers, program planners and implementers can use these tools to improve their monitoring and so increase the health impact of investments in health facility care.
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                Author and article information

                Journal
                Cost Eff Resour Alloc
                Cost Eff Resour Alloc
                Cost Effectiveness and Resource Allocation : C/E
                BioMed Central
                1478-7547
                2013
                10 May 2013
                : 11
                : 10
                Affiliations
                [1 ]Department of International Health, Johns Hopkins Bloomberg School of Public Health, Institute for International Programs, 615 N. Wolfe Street, Baltimore, MD 21205, USA
                [2 ]Department of Economics, University of Malawi, Chancellor College, Zomba, Malawi
                [3 ]Department of Population, Johns Hopkins Bloomberg School of Public Health, Family and Reproductive Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA
                Article
                1478-7547-11-10
                10.1186/1478-7547-11-10
                3729666
                23663496
                6a26cce4-9302-43a8-981b-3183860979c3
                Copyright ©2013 Johns et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 July 2012
                : 16 April 2013
                Categories
                Research

                Public health
                cost function,efficiency,malawi,primary health care
                Public health
                cost function, efficiency, malawi, primary health care

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