Resources Repository
-
ArticlePublication 2020Impact of Treatment and Imaging Modalities on 5-Year Net Survival of 11 Cancers in 200 Countries
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 …
This analysis describes the development of a microsimulation model of stage-specific cancer survival in 200 countries/territories for 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). The paper estimated current 5-year net survival for diagnosed cancers in each country and potential survival gains from increasing the availability of individual treatment and imaging modalities, and more comprehensive packages of scale-up. Global 5-year net survival for all 11 cancers (combined) is…
Health Outcomes | Health Systems | Priority Setting/Ethics | Microsimulation | Calibration/Validation | Chronic Disease/Risk | Global -
ArticlePublication 2020Role and Contribution of Treatment and Imaging Modalities in Global Cervical Cancer Management
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling …
Using a microsimulation model of global cancer survival, this analysis estimates the impact of scaling up treatment and imaging modalities on cervical cancer survival in 200 countries/territories. The paper evaluates the potential survival effect of scaling up treatment (chemotherapy, surgery, radiotherapy, and targeted therapy), and imaging modalities (ultrasound, x-ray, CT, MRI, PET, and single photon emission CT [SPECT]) to the mean level of high-income countries, both individually and in combination. The model estimates that global…
Health Outcomes | Health Systems | Priority Setting/Ethics | Microsimulation | Chronic Disease/Risk | Global -
ArticlePublication 2021Global Costs, Health Benefits, & Economic Benefits of Scaling Up Treatment and Imaging Modalities for Survival of 11 Cancers
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging …
This analysis estimated the costs and lifetime health and economic benefits of scaling up imaging and treatment modality packages on cancer survival in 200 countries/territories for patients diagnosed with one of 11 cancers (oesophagus, stomach, colon, rectum, anus, liver, pancreas, lung, breast, cervix uteri, and prostate). Using a microsimulation model of global cancer survival, the paper evaluated the costs and health and economic benefits of scaling up packages of treatment (chemotherapy, surgery, radiotherapy, and targeted…
Health Outcomes | Health Systems | Priority Setting/Ethics | Microsimulation | Benefit-Cost Analysis | Chronic Disease/Risk | Global -
ArticlePublication 2014Step-by-Step Guideline for Disease-Specific Costing Studies in LMIC
Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information …
Disease-specific costing studies can be used as input into cost-effectiveness analyses and provide important information for efficient resource allocation. This paper provides a step-by-step guideline for conducting disease-specific costing studies in LMICs where data availability is limited and illustrates how the guideline was applied in a costing study of cardiovascular disease prevention care in rural Nigeria. The step-by-step guideline provides practical recommendations on methods and data requirements for six sequential steps: 1) definition of the study…
Costing Methods | Health Systems | Chronic Disease/Risk | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2022Healthcare Cost of Overweight & Obesity in South Africa
This analysis estimates the healthcare cost associated with treatment of weight-related conditions from the perspective …
This analysis estimates the healthcare cost associated with treatment of weight-related conditions from the perspective of the South African public sector payer. The authors report that the total cost of overweight and obesity is estimated to be ZAR33,194 million in 2020, representing approximately 15% of government health expenditure and equivalent to 0.67% of GDP. This analysis is an example of a bottom-up gross costing approach. The study draws South African data from multiple sources to estimate…
Costing Methods | Health Systems | Cost-Effectiveness Analysis | Chronic Disease/Risk | Health/Medicine | Sub-Saharan Africa -
ArticlePublication 2020Testing for SARS-CoV-2 Antibodies
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made …
Antibody testing can determine previous exposure to SARS-CoV-2 virus. Recently, the UK government has made antibody testing available to anyone wanting it, even if there is no clinical indication. The purpose of this article is to provide guidance for when to consider antibody testing in individuals with and without symptoms suggestive of current or past SARS-CoV-2 infection. Key points made by the authors include: (1) antibody testing is likely to be most useful 2 weeks…
Test Performance | Clinical Care | Probability/Bayes | Technology Assessment | Infectious Diseases | Health/Medicine -
ArticlePublication 2020Bayes' Theorem, COVID-19, and Screening Tests
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain …
This article reviews the implications of increased testing for COVID-19 using reverse transcriptase polymerase chain reaction (rRT-PCR) through the application of Bayes’ Theorem for three hypothetical, stylized case scenarios. The scenarios involve three patients with a low, moderate, and high pre-test probability of COVID-19 infection. The category of low probability would include "asymptomatic individuals in a presumed low prevalence environment" and might vary from 10 to 20%. The category of moderate probability would include "individuals…
Test Performance | Clinical Care | Probability/Bayes | Infectious Diseases | Health/Medicine -
ArticlePublication 2020Weighing Evidence to Inform Clinical Decisions
The authors use a clinical example to simulate how treatment discussions can be complicated when new evidence is introduced …
The authors use a clinical example to simulate how treatment discussions can be complicated when new evidence is introduced that conflicts with existing guidelines. Even when evidence is consistent, the authors point out that current guidelines can have interpretations that don't agree with available evidence. They develop a step-wise algorithm to help guide individual clinical decisions even in the absence of general consensus related to appropriate testing and treatment.
Evidence Synthesis | Clinical Care | Priority Setting/Ethics | Health/Medicine -
ArticlePublication 2020Clinical Decision Making: Using a Diagnostic Test
This article is part of a 6-part series on clinical decision making. The authors use …
This article is part of a 6-part series on clinical decision making. The authors use two clinical examples to review the principles of interpreting diagnostic test results. They outline an approach that can be used to determine how to select and apply tests and their results to the practice of internal medicine. Topics covered in the two case studies include sensitivity and specificity, positive predictive and negative predictive value of tests, and how to estimate…
Test Performance | Clinical Care | Probability/Bayes | Health/Medicine