Dataset Information

Cost-effectiveness of running a paediatric oncology unit in Ethiopia.

ABSTRACT:

Objective

To estimate the cost-effectiveness of running a paediatric oncology unit in Ethiopia to inform the revision of the Ethiopia Essential Health Service Package (EEHSP), which ranks the treatment of childhood cancers at a low and medium priority.

Methods

We built a decision analytical model-a decision tree-to estimate the cost-effectiveness of running a paediatric oncology unit compared with a do-nothing scenario (no paediatric oncology care) from a healthcare provider perspective. We used the recently (2018-2019) conducted costing estimate for running the paediatric oncology unit at Tikur Anbessa Specialized Hospital (TASH) and employed a mixed costing approach (top-down and bottom-up). We used data on health outcomes from other studies in similar settings to estimate the disability-adjusted life years (DALYs) averted of running a paediatric oncology unit compared with a do-nothing scenario over a lifetime horizon. Both costs and effects were discounted (3%) to the present value. The primary outcome was incremental cost in US dollars (USDs) per DALY averted, and we used a willingness-to-pay (WTP) threshold of 50% of the Ethiopian gross domestic product per capita (USD 477 in 2019). Uncertainty was tested using one-way and probabilistic sensitivity analyses.

Results

The incremental cost and DALYs averted per child treated in the paediatric oncology unit at TASH were USD 876 and 2.4, respectively, compared with no paediatric oncology care. The incremental cost-effectiveness ratio of running a paediatric oncology unit was USD 361 per DALY averted, and it was cost-effective in 90% of 100 000 Monte Carlo iterations at a USD 477 WTP threshold.

Conclusions

The provision of paediatric cancer services using a specialised oncology unit is most likely cost-effective in Ethiopia, at least for easily treatable cancer types in centres with minimal to moderate capability. We recommend reassessing the priority-level decision of childhood cancer treatment in the current EEHSP.

SUBMITTER: Kiros M

PROVIDER: S-EPMC10016307 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cost-effectiveness of running a paediatric oncology unit in Ethiopia.

Kiros Mizan M Memirie Solomon Tessema ST Tolla Mieraf Taddesse Taddesse MTT Palm Michael Tekle MT Hailu Daniel D Norheim Ole F OF

BMJ open 20230314 3

<h4>Objective</h4>To estimate the cost-effectiveness of running a paediatric oncology unit in Ethiopia to inform the revision of the Ethiopia Essential Health Service Package (EEHSP), which ranks the treatment of childhood cancers at a low and medium priority.<h4>Methods</h4>We built a decision analytical model-a decision tree-to estimate the cost-effectiveness of running a paediatric oncology unit compared with a do-nothing scenario (no paediatric oncology care) from a healthcare provider persp ...[more]

PMID: 36918241

Similar Datasets

Project description:ObjectiveThis study explores sources of stress, conditions that help reduce stress levels and coping strategies among parents of children with cancer receiving chemotherapy at Tikur Anbessa Specialized Hospital (TASH) in Ethiopia.DesignA qualitative phenomenological approach was used.SettingParents of children receiving chemotherapy at the TASH paediatric oncology unit.ParticipantsFifteen semistructured in-depth interviews were conducted with nine mothers and six fathers of children with cancer from November 2020 to January 2021.ResultsSources of stress related to child's health condition as the severity of the child's illness, fear of treatment side effects and loss of body parts were identified. Parents mentioned experiencing stress arising from limited access to health facilities, long waiting times, prolonged hospital stays, lack of chemotherapy drugs, and limited or inadequate information about their child's disease condition and treatment. Other sources of stress were insufficient social support, stigmatisation of cancer and financial problems. Conditions decreasing parents' stress included positive changes in the child's health, receiving cancer treatment and access to drugs. Receiving counselling from healthcare providers, getting social support and knowing someone who had a positive treatment outcome also helped reduce stress. Coping strategies used by parents were religious practices including prayer, crying, accepting the child's condition, denial and communication with health providers.ConclusionThe main causes of stress identified by parents of children with cancer in Ethiopia were the severity of their child's illness, expectations of poor treatment outcomes, unavailability of cancer treatment services and lack of social/financial support. Measures that should be considered to reduce parents' stress include providing psycho-oncological care for parents and improving the counselling available to parents concerning the nature of the child's illness, its treatment, diagnostic procedures and treatment side effects. It may also be helpful to establish and strengthen family support groups and parent-to-parent communication, improve the availability of chemotherapy drugs and offer more education on coping strategies.

Project description:ImportanceValue in health care is quality per unit cost (V = Q/C), and an emergency department-based intensive care unit (ED-ICU) model has been associated with improved quality. To assess the value of this care delivery model, it is essential to determine the incremental direct cost of care.ObjectiveTo determine the association of an ED-ICU with inflation-adjusted change in mean direct cost of care, net revenue, and direct margin per ED patient encounter.Design, setting, and participantsThis retrospective economic analysis evaluated the cost of care delivery to patients in the ED before and after deployment of the Joyce and Don Massey Family Foundation Emergency Critical Care Center, an ED-ICU, on February 16, 2015, at a large academic medical center in the US with approximately 75 000 adult ED visits per year. The pre-ED-ICU cohort was defined as all documented ED visits by patients 18 years or older with a complete financial record from September 8, 2012, through June 30, 2014 (660 days); the post-ED-ICU cohort, all visits from July 1, 2015, through April 21, 2017 (660 days). Fiscal year 2015 was excluded from analysis to phase in the new care model. Statistical analysis was performed March 1 through December 30, 2021.ExposuresImplementation of an ED-ICU.Main outcomes and measuresInflation-adjusted direct cost of care, net revenue, and direct margin per patient encounter in the ED.ResultsA total of 234 884 ED visits during the study period were analyzed, with 115 052 patients (54.7% women) in the pre-ED-ICU cohort and 119 832 patients (54.5% women) in the post-ED-ICU cohort. The post-ED-ICU cohort was older (mean [SD] age, 49.1 [19.9] vs 47.8 [19.6] years; P < .001), required more intensive respiratory support (2.2% vs 1.1%; P < .001) and more vasopressor use (0.5% vs 0.2%; P < .001), and had a higher overall case mix index (mean [SD], 1.7 [2.0] vs 1.5 [1.7]; P < .001). Implementation of the ED-ICU was associated with similar inflation-adjusted total direct cost per ED encounter (pre-ED-ICU, mean [SD], $4875 [$15 175]; post-ED-ICU, $4877 [$17 400]; P = .98). Inflation-adjusted net revenue per encounter increased by 7.0% (95% CI, 3.4%-10.6%; P < .001), and inflation-adjusted direct margin per encounter increased by 46.6% (95% CI, 32.1%-61.2%; P < .001).Conclusions and relevanceImplementation of an ED-ICU was associated with no significant change in inflation-adjusted total direct cost per ED encounter. Holding delivery costs constant while improving quality demonstrates improved value via the ED-ICU model of care.

Project description:Childhood-onset muscle disorders are genetically heterogeneous. Diagnostic workup has traditionally included muscle biopsy, protein-based studies of muscle specimens, and candidate gene sequencing. High throughput or massively parallel sequencing is transforming the approach to diagnosis of rare diseases; however, evidence for cost-effectiveness is lacking. Patients presenting with suspected congenital muscular dystrophy or nemaline myopathy were ascertained over a 15-year period. Patients were investigated using traditional diagnostic approaches. Undiagnosed patients were investigated using either massively parallel sequencing of a panel of neuromuscular disease genes panel, or whole exome sequencing. Cost data were collected for all diagnostic investigations. The diagnostic yield and cost effectiveness of a molecular approach to diagnosis, prior to muscle biopsy, were compared with the traditional approach. Fifty-six patients were analysed. Compared with the traditional invasive muscle biopsy approach, both the neuromuscular disease panel and whole exome sequencing had significantly increased diagnostic yields (from 46 to 75% for the neuromuscular disease panel, and 79% for whole exome sequencing), and reduced the cost per diagnosis from USD$16,495 (95% CI: $12,413-$22,994) to USD$3706 (95% CI: $3086-$4453) for the neuromuscular disease panel and USD $5646 (95% CI: $4501-$7078) for whole exome sequencing. The neuromuscular disease panel was the most cost-effective, saving USD$17,075 (95% CI: $10,654-$30,064) per additional diagnosis, over the traditional diagnostic pathway. Whole exome sequencing saved USD$10,024 (95% CI: $5795-$17,135) per additional diagnosis. This study demonstrates the cost-effectiveness of investigation using massively parallel sequencing technologies in paediatric muscle disease. The findings emphasise the value of implementing these technologies in clinical practice, with particular application for diagnosis of Mendelian diseases, and provide evidence crucial for government subsidy and equitable access.

Dataset Information

Cost-effectiveness of running a paediatric oncology unit in Ethiopia.

Objective

Methods

Results

Conclusions

Publications

Cost-effectiveness of running a paediatric oncology unit in Ethiopia.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets