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        <title>Cost Effectiveness and Resource Allocation - Latest Articles</title>
        <link>http://www.resource-allocation.com</link>
        <description>The latest research articles published by Cost Effectiveness and Resource Allocation</description>
        <dc:date>2009-05-27T00:00:00Z</dc:date>
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        <title>Methodological issues in assessing changes in costs pre- and post-medication switch:  a schizophrenia study example</title>
        <description>Background:
Schizophrenia is a severe, chronic, and costly illness that adversely impacts patients&apos; lives and health care payer budgets. Cost comparisons of treatment regimens are, therefore, important to health care payers and researchers. Pre-Post analyses (&quot;mirror-image&quot;), where outcomes prior to a medication switch are compared to outcomes post-switch, are commonly used in such research. However, medication changes often occur during a costly crisis event. Patients may relapse, be hospitalized, have a medication change, and then spend a period of time with intense use of costly resources (post-medication switch). While many advantages and disadvantages of Pre-Post methodology have been discussed, issues regarding the attributability of costs incurred around the time of medication switching have not been fully investigated.
Methods:
Medical resource use data, including medications and acute-care services (hospitalizations, partial hospitalizations, emergency department) were collected for patients with schizophrenia who switched antipsychotics (n = 105) during a 1-year randomized, naturalistic, antipsychotic cost-effectiveness schizophrenia trial. Within-patient changes in total costs per day were computed during the pre- and post-medication change periods. In addition to the standard Pre-Post analysis comparing costs pre- and post-medication change, we investigated the sensitivity of results to varying assumptions regarding the attributability of acute care service costs occurring just after a medication switch that were likely due to initial medication failure.
Results:
Fifty-six percent of all costs incurred during the first week on the newly initiated antipsychotic were likely due to treatment failure with the previous antipsychotic. Standard analyses suggested an average increase in cost-per-day for each patient of $2.40 after switching medications. However, sensitivity analyses removing costs incurred post-switch that were potentially due to the failure of the initial medication suggested decreases in costs in the range of $4.77 to $9.69 per day post-switch.
Conclusion:
Pre-Post cost analyses are sensitive to the approach used to handle acute-service costs occurring just after a medication change. Given the importance of quality economic research on the cost of switching treatments, thorough sensitivity analyses should be performed to identify the impact of crisis events around the time of medication change.</description>
        <link>http://www.resource-allocation.com/content/7/1/11</link>
                <dc:creator>Douglas Faries</dc:creator>
                <dc:creator>Allen Nyhuis</dc:creator>
                <dc:creator>Haya Ascher-Svanum</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:11</dc:source>
        <dc:date>2009-05-27T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-11</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>11</prism:startingPage>
        <prism:publicationDate>2009-05-27T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/10">
        <title>Generalized cost-effectiveness analysis of a package of interventions to reduce cardiovascular disease in Buenos Aires, Argentina</title>
        <description>Background:
Chronic diseases, represented mainly by cardiovascular disease (CVD) and cancer, are increasing in developing countries and account for 53% of chronic diseases in Argentina. There is strong evidence that a reduction of 50% of the deaths due to CVD can be attributed to a reduction in smoking, hypertension and hypercholesterolemia. Generalized cost-effectiveness analysis (GCE) is a methodology designed by WHO to inform decision makers about the extent to which current or new interventions represent an efficient use of resources. We aimed to use GCE analysis to identify the most efficient interventions to decrease CVD.
Methods:
Six individual interventions (treatment of hypertension, hypercholesterolemia, smoking cessation and combined clinical strategies to reduce the 10 year CVD Risk) and two population-based interventions (cooperation between government, consumer associations and bakery chambers to reduce salt in bread, and mass education strategies to reduce hypertension, hypercholesterolemia and obesity) were selected for analysis. Estimates of effectiveness were entered into age and sex specific models to predict their impact in terms of age-weighted and discounted DALYs saved (disability-adjusted life years). To translate the age- and sex-adjusted incidence of CVD events into health changes, we used risk model software developed by WHO (PopMod). Costs of services were measured in Argentine pesos, and discounted at an annual rate of 3%. Different budgetary impact scenarios were explored.
Results:
The average cost-effectiveness ratio in argentine pesos (ARS$) per DALY for the different interventions were: (i) less salt in bread $151; (ii) mass media campaign $547; (iii) combination drug therapy provided to subjects with a 20%, 10% and 5% global CVD risk, $3,599, $4,113 and $4,533, respectively; (iv) high blood pressure (HBP) lowering therapy $7,716; (v) tobacco cessation with bupropion $ 33,563; and (iv) high-cholesterol lowering therapy with statins $ 70,994.
Conclusion:
Against a threshold of average per capita income in Argentina, the two selected population-based interventions (lowering salt intake and health education through mass-media campaigns) plus the modified polypill strategy targeting people with a 20% or greater risk were cost-effective. Use of this methodology in developing countries can make resource-allocation decisions less intuitive and more driven by evidence.</description>
        <link>http://www.resource-allocation.com/content/7/1/10</link>
                <dc:creator>Adolfo Rubinstein</dc:creator>
                <dc:creator>Sebastian Garcia Marti</dc:creator>
                <dc:creator>Alberto Souto</dc:creator>
                <dc:creator>Daniel Ferrante</dc:creator>
                <dc:creator>Federico Augustovski</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:10</dc:source>
        <dc:date>2009-05-06T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-10</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>10</prism:startingPage>
        <prism:publicationDate>2009-05-06T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/9">
        <title>Cost-effectiveness of pioglitazone in type 2 diabetes patients with a history of macrovascular disease: a German perspective</title>
        <description>Background:
The aim of this study was to project health-economic outcomes relevant to the German setting for the addition of pioglitazone to existing treatment regimens in patients with type 2 diabetes, evidence of macrovascular disease and at high risk of cardiovascular events.
Methods:
Event rates corresponding to macrovascular outcomes from the Prospective Pioglitazone Clinical Trial in Macrovascular Events (PROactive) study of pioglitazone were used with a modified version of the CORE Diabetes Model to simulate outcomes over a 35-year time horizon. Direct medical costs were accounted from a healthcare payer perspective in year 2005 values. Germany specific costs were applied for patient treatment, hospitalization and management. Both costs and clinical benefits were discounted at 5.0% per annum.
Results:
Over patient lifetimes pioglitazone treatment improved undiscounted life expectancy by 0.406 years and improved quality-adjusted life expectancy by 0.120 quality-adjusted life years (QALYs) compared to placebo. Direct medical costs (treatment plus complication costs) were marginally higher for pioglitazone treatment and calculation of the incremental cost-effectiveness ratio (ICER) produced a value of &#8364;13,294 per QALY gained with the pioglitazone regimen versus placebo. Acceptability curve analysis showed that there was a 78.2% likelihood that pioglitazone would be considered cost-effective in Germany, using a &quot;good value for money&quot; threshold of &#8364;50,000 per QALY gained. Sensitivity analyses showed that the results were most sensitive to changes in the simulation time horizon. After adjustment for the potential stabilization of pancreatic &#946;-cell function with pioglitazone treatment, the ICER was &#8364;6,667 per QALY gained for pioglitazone versus placebo.
Conclusion:
The findings of this modelling analysis indicated that, for patients with a history of macrovascular disease, addition of pioglitazone to existing therapy reduces the long-term cumulative incidence of diabetes-complications at a cost that would be considered to represent good value for money in the German setting.</description>
        <link>http://www.resource-allocation.com/content/7/1/9</link>
                <dc:creator>Werner Scherbaum</dc:creator>
                <dc:creator>Gordon Goodall</dc:creator>
                <dc:creator>Katrina Erny-Albrecht</dc:creator>
                <dc:creator>Massimo Massi-Benedetti</dc:creator>
                <dc:creator>Erland Erdmann</dc:creator>
                <dc:creator>William Valentine</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:9</dc:source>
        <dc:date>2009-05-05T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-9</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>9</prism:startingPage>
        <prism:publicationDate>2009-05-05T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/8">
        <title>Preventing panic disorder: cost-effectiveness analysis alongside a pragmatic randomised trial</title>
        <description>Background:
Panic disorder affects many people, is associated with a formidable disease burden, and imposes costs on society. The annual influx of new cases of panic disorder is substantial. From the public health perspective it may therefore be a sound policy to reduce the influx of new cases, to maintain the quality of life in many people, and to avoid the economic costs associated with the full-blown disorder. For this purpose, prevention is needed. Here we present the first economic evaluation of such an intervention.
Methods:
Randomised trial of 117 people with panic disorder symptoms not meeting the diagnostic criteria of DSM-IV panic disorder. The interventions were time-limited cognitive-behavioural therapy v care-as-usual. The central clinical endpoint was DSM-IV panic disorder-free survival over 3 months. Costs were calculated from the societal perspective. Using the bootstrap method, incremental cost-effectiveness ratios were obtained, placed in 95% confidence intervals, projected on the cost-effectiveness plane, and presented as acceptability curves.
Results:
The median incremental cost-effectiveness ratio is &#8364;6,198 (95% CI 2,435 &#8211; 60,731) per PD-free survival gained, which has a likelihood of 75.2% of being more acceptable from a cost-effectiveness point of view than care-as-usual when a willingness-to-pay ceiling is assumed of &#8364;10,000 per PD-free survival. The most significant cost driver was therapists&apos; time. A sensitivity analysis indicated that cost-effectiveness improves when the number of therapist hours is reduced.
Conclusion:
This is the first economic evaluation alongside a prevention trial in panic disorder. The small sample (n = 117) and the short time horizon of 3 months preclude firm conclusions, but our findings suggest that the intervention may be acceptable from a cost-effectiveness point of view, especially when therapist involvement can be kept minimal. Nevertheless, our results must await replication in a larger trial with longer follow-up times before we can confidently recommend implementation of the intervention on a broad scale. In the light of our findings and given the burden of panic disorder, such a new trial is well worth the effort.Trial registrationCurrent Controlled Trials ISRCTN33407455.</description>
        <link>http://www.resource-allocation.com/content/7/1/8</link>
                <dc:creator>Filip Smit</dc:creator>
                <dc:creator>Godelief Willemse</dc:creator>
                <dc:creator>Peter Meulenbeek</dc:creator>
                <dc:creator>Marc Koopmanschap</dc:creator>
                <dc:creator>Anton van Balkom</dc:creator>
                <dc:creator>Philip Spinhoven</dc:creator>
                <dc:creator>Pim Cuijpers</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:8</dc:source>
        <dc:date>2009-04-24T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-8</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>8</prism:startingPage>
        <prism:publicationDate>2009-04-24T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/7">
        <title>Single food focus dietary guidance: lessons learned from an economic analysis of egg consumption</title>
        <description>Background:
There is a large body of literature evaluating the impact of various nutrients of eggs and their dietary cholesterol content on health conditions. There is also literature on the costs of each condition associated with egg consumption. The goal of the present study is to synthesize what is known about the risks and benefits of eggs and the associated costs from a societal perspective.
Methods:
A risk apportionment model estimated the increased risk for coronary heart disease (CHD) attributable to egg cholesterol content, the decreased risk for other conditions (age-related macular degeneration (AMD), cataract, neural tube defects, and sarcopenia) associated with egg consumption, and a literature search identified the cost of illness of each condition. The base 795 case scenario calculated the costs or savings of each condition attributable to egg cholesterol or nutrient content.
Results:
Given the costs associated with CHD and the benefits associated with the other conditions, the most likely scenario associated with eating an egg a day is savings of $2.82 billion annually with uncertainty ranging from a net cost of $756 million to net savings up to $8.50 billion.
Conclusion:
This study evaluating the economic impact of egg consumption suggests that public health campaigns promoting limiting egg consumption as a means to reduce CHD risk would not be cost-effective from a societal perspective when other benefits are considered. Public health intervention that focuses on a single dietary constituent, and foods that are high in that constituent, may lead to unintended consequences of removing other beneficial constituents and the net effect may not be in its totality a desirable public health outcome. As newer data become available, the model should be updated.</description>
        <link>http://www.resource-allocation.com/content/7/1/7</link>
                <dc:creator>Jordana Schmier</dc:creator>
                <dc:creator>Leila Barraj</dc:creator>
                <dc:creator>Nga Tran</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:7</dc:source>
        <dc:date>2009-04-14T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-7</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>7</prism:startingPage>
        <prism:publicationDate>2009-04-14T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/6">
        <title>Cost estimates of HIV care and treatment with and without anti-retroviral therapy at Arba Minch Hospital in southern Ethiopia </title>
        <description>Background:
Little is known about the costs of HIV care in Ethiopia.ObjectiveTo estimate the average per person year (PPY) cost of care for HIV patients with and without anti-retroviral therapy (ART) in a district hospital.
Methods:
Data on costs and utilization of HIV-related services were taken from Arba Minch Hospital (AMH) in southern Ethiopia. Mean annual outpatient and inpatient costs and corresponding 95% confidence intervals (CI) were calculated. We adopted a district hospital perspective and focused on hospital costs.FindingsPPY average (95% CI) costs under ART were US$235.44 (US$218.11&#8211;252.78) and US$29.44 (US$24.30&#8211;34.58) for outpatient and inpatient care, respectively. Estimates for the non-ART condition were US$38.12 (US$34.36&#8211;41.88) and US$80.88 (US$63.66&#8211;98.11) for outpatient and inpatient care, respectively. The major cost driver under the ART scheme was cost of ART drugs, whereas it was inpatient care and treatment in the non-ART scheme.
Conclusion:
The cost profile of ART at a district hospital level may be useful in the planning and budgeting of implementing ART programs in Ethiopia. Further studies that focus on patient costs are warranted to capture all patterns of service use and relevant costs. Economic evaluations combining cost estimates with clinical outcomes would be useful for ranking of ART services.</description>
        <link>http://www.resource-allocation.com/content/7/1/6</link>
                <dc:creator>Asfaw Bikilla</dc:creator>
                <dc:creator>Degu Jerene</dc:creator>
                <dc:creator>Bjarne Robberstad</dc:creator>
                <dc:creator>Bernt Lindtjorn</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:6</dc:source>
        <dc:date>2009-04-13T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-6</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>6</prism:startingPage>
        <prism:publicationDate>2009-04-13T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/5">
        <title>Cost-effectiveness analysis of the available strategies for diagnosing malaria in outpatient clinics in Zambia</title>
        <description>Background:
Malaria in Zambia accounts for about 4 million clinical cases and 8 000 deaths annually. Artemether-lumefantrine (ACT), a relatively expensive drug, is being used as first line treatment of uncomplicated malaria. However, diagnostic capacity in Zambia is low, leading to potentially avoidable wastage of drugs due to unnecessary anti malarial treatment.
Methods:
A cost-effectiveness evaluation of the three current alternatives to malaria diagnosis (clinical, microscopy and Rapid Diagnostic Tests- RDT) was conducted in 12 facilities from 4 districts in Zambia. The analysis was conducted along an observational study, thus reflecting practice in health facilities under routine conditions. Average and incremental cost effectiveness ratios were estimated from the providers&apos; perspective. Effectiveness was measured in relation to malaria cases correctly diagnosed by each strategy.
Results:
Average cost-effectiveness ratios show that RDTs were more efficient (US$ 6.5) than either microscopy (US$ 11.9) or clinical diagnosis (US$ 17.1) for malaria case correctly diagnosed. In relation to clinical diagnoses the incremental cost per case correctly diagnosed and treated was US$ 2.6 and US$ 9.6 for RDT and microscopy respectively. RDTs would be much cheaper to scale up than microscopy. The findings were robust to changes in assumptions and various parameters.
Conclusion:
RDTs were the most cost effective method at correctly diagnosing malaria in primary health facilities in Zambia when compared to clinical and microscopy strategies. However, the treatment prescription practices of the health workers can impact on the potential that a diagnostic test has to lead to savings on antimalarials. The results of this study will serve to inform policy makers on which alternatives will be most efficient in reducing malaria misdiagnosis by taking into account both the costs and effects of each strategy.</description>
        <link>http://www.resource-allocation.com/content/7/1/5</link>
                <dc:creator>Pascalina Chanda</dc:creator>
                <dc:creator>Marianela Castillo-Riquelme</dc:creator>
                <dc:creator>Felix Masiye</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:5</dc:source>
        <dc:date>2009-04-08T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-5</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>5</prism:startingPage>
        <prism:publicationDate>2009-04-08T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/4">
        <title>Cost-effectiveness model comparing olanzapine and other oral atypical antipsychotics in the treatment of schizophrenia in the United States</title>
        <description>Background:
Schizophrenia is often a persistent and costly illness that requires continued treatment with antipsychotics. Differences among antipsychotics on efficacy, safety, tolerability, adherence, and cost have cost-effectiveness implications for treating schizophrenia. This study compares the cost-effectiveness of oral olanzapine, oral risperidone (at generic cost, primary comparator), quetiapine, ziprasidone, and aripiprazole in the treatment of patients with schizophrenia from the perspective of third-party payers in the U.S. health care system.
Methods:
A 1-year microsimulation economic decision model, with quarterly cycles, was developed to simulate the dynamic nature of usual care of schizophrenia patients who switch, continue, discontinue, and restart their medications. The model captures clinical and cost parameters including adherence levels, relapse with and without hospitalization, quality-adjusted life years (QALYs), treatment discontinuation by reason, treatment-emergent adverse events, suicide, health care resource utilization, and direct medical care costs. Published medical literature and a clinical expert panel were used to develop baseline model assumptions. Key model outcomes included mean annual total direct cost per treatment, cost per stable patient, and incremental cost-effectiveness values per QALY gained.
Results:
The results of the microsimulation model indicated that olanzapine had the lowest mean annual direct health care cost ($8,544) followed by generic risperidone ($9,080). In addition, olanzapine resulted in more QALYs than risperidone (0.733 vs. 0.719). The base case and multiple sensitivity analyses found olanzapine to be the dominant choice in terms of incremental cost-effectiveness per QALY gained.
Conclusion:
The utilization of olanzapine is predicted in this model to result in better clinical outcomes and lower total direct health care costs compared to generic risperidone, quetiapine, ziprasidone, and aripiprazole. Olanzapine may, therefore, be a cost-effective therapeutic option for patients with schizophrenia.</description>
        <link>http://www.resource-allocation.com/content/7/1/4</link>
                <dc:creator>Nicolas Furiak</dc:creator>
                <dc:creator>Haya Ascher-Svanum</dc:creator>
                <dc:creator>Robert Klein</dc:creator>
                <dc:creator>Lee Smolen</dc:creator>
                <dc:creator>Anthony Lawson</dc:creator>
                <dc:creator>Robert Conley</dc:creator>
                <dc:creator>Steven Culler</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:4</dc:source>
        <dc:date>2009-04-07T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-4</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>4</prism:startingPage>
        <prism:publicationDate>2009-04-07T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/3">
        <title>The economic burden of inpatient paediatric care: household and provider costs for treatment of pneumonia, malaria and meningitis</title>
        <description>Background:
Knowledge of treatment cost is essential in assessing cost effectiveness in healthcare. Evidence of the potential impact of implementing available interventions against childhood illnesses in developing countries challenges us to define the costs of treating these diseases. The purpose of this study is to describe the total costs associated with treatment of pneumonia, malaria and meningitis in children less than five years in seven Kenyan hospitals.
Methods:
Patient resource use data were obtained from largely prospective evaluation of medical records and household expenditure during illness was collected from interviews with caretakers. The estimates for costs per bed day were based on published data. A sensitivity analysis was conducted using WHO-CHOICE values for costs per bed day.
Results:
Treatment costs for 572 children (pneumonia = 205, malaria = 211, meningitis = 102 and mixed diagnoses = 54) and household expenditure for 390 households were analysed. From the provider perspective the mean cost per admission at the national hospital was US $95.58 for malaria, US $177.14 for pneumonia and US $284.64 for meningitis. In the public regional or district hospitals the mean cost per child treated ranged from US $47.19 to US $81.84 for malaria and US $54.06 to US $99.26 for pneumonia. The corresponding treatment costs in the mission hospitals were between US $43.23 to US $88.18 for malaria and US $ 43.36 to US $142.22 for pneumonia. Meningitis was treated for US $ 189.41 at the regional hospital and US $ 201.59 at one mission hospital. The total treatment cost estimates were sensitive to changes in the source of bed day costs. The median treatment related household payments within quintiles defined by total household expenditure differed by type of facility visited. Public hospitals recovered up to 40% of provider costs through user charges while mission facilities recovered 44% to 100% of costs.
Conclusion:
Treatments cost for inpatient malaria, pneumonia and meningitis vary by facility type, with mission and tertiary referral facilities being more expensive compared to primary referral. Households of sick children contribute significantly towards provider cost through payment of user fees. These findings could be used in cost effectiveness analysis of health interventions.</description>
        <link>http://www.resource-allocation.com/content/7/1/3</link>
                <dc:creator>Philip Ayieko</dc:creator>
                <dc:creator>Angela Akumu</dc:creator>
                <dc:creator>Ulla Griffiths</dc:creator>
                <dc:creator>Mike English</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:3</dc:source>
        <dc:date>2009-01-22T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-3</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>3</prism:startingPage>
        <prism:publicationDate>2009-01-22T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.resource-allocation.com/content/7/1/2">
        <title>Cost effectiveness of community-based therapeutic care for children with severe acute malnutrition in Zambia: decision tree model</title>
        <description>Background:
Children aged under five years with severe acute malnutrition (SAM) in Africa and Asia have high mortality rates without effective treatment. Primary care-based treatment of SAM can have good outcomes but its cost effectiveness is largely unknown.MethodThis study estimated the cost effectiveness of community-based therapeutic care (CTC) for children with severe acute malnutrition in government primary health care centres in Lusaka, Zambia, compared to no care. A decision tree model compared the costs (in year 2008 international dollars) and outcomes of CTC to a hypothetical &apos;do-nothing&apos; alternative. The primary outcomes were mortality within one year, and disability adjusted life years (DALYs) after surviving one year. Outcomes and health service costs of CTC were obtained from the CTC programme, local health services and World Health Organization (WHO) estimates of unit costs. Outcomes of doing nothing were estimated from published African cohort studies. Probabilistic and deterministic sensitivity analyses were done.
Results:
The mean cost of CTC per child was $203 (95% confidence interval (CI) $139&#8211;$274), of which ready to use therapeutic food (RUTF) cost 36%, health centre visits cost 13%, hospital admissions cost 17% and technical support while establishing the programme cost 34%. Expected death rates within one year of presentation were 9.2% with CTC and 20.8% with no treatment (risk difference 11.5% (95% CI 0.4&#8211;23.0%). CTC cost $1760 (95% CI $592&#8211;$10142) per life saved and $ 53 (95% CI $18&#8211;$306) per DALY gained. CTC was at least 80% likely to be cost effective if society was willing to pay at least $88 per DALY gained. Analyses were most sensitive to assumptions about mortality rates with no treatment, weeks of CTC per child and costs of purchasing RUTF.
Conclusion:
CTC is relatively cost effective compared to other priority health care interventions in developing countries, for a wide range of assumptions.</description>
        <link>http://www.resource-allocation.com/content/7/1/2</link>
                <dc:creator>Max Bachmann</dc:creator>
                <dc:source>Cost Effectiveness and Resource Allocation 2009, 7:2</dc:source>
        <dc:date>2009-01-15T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1478-7547-7-2</dc:identifier>
        <prism:publicationName>Cost Effectiveness and Resource Allocation</prism:publicationName>
        <prism:issn>1478-7547</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>2</prism:startingPage>
        <prism:publicationDate>2009-01-15T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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