Resources Repository
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ArticlePublication 2022Comparative Health Systems Analysis of Differences in Catastrophic Health Expenditure
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications …
The growing burden of non-communicable diseases (NCDs) in low- and middle-income countries may have implications for health system performance in the area of financial risk protection, as measured by catastrophic health expenditure (CHE). This article compares non-communicable diseases catastrophic health expenditure to the CHE cases caused by communicable diseases across health systems to examine whether: (1) disease burden and catastrophic health expenditure are linked, (2) Catastrophic health expenditures secondary to NCDs disproportionately affect wealthier households and (3) whether the drivers…
Evidence Synthesis | Economics/Finance | Chronic Disease/Risk | Costing Methods | Cost-Effectiveness Analysis | Infectious Diseases | Health Systems | Health/Medicine | Global -
ReviewPublication 2017Patients' Preferences in Cancer Treatment: Review of Discrete Choice Experiments
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer …
This study aimed to systematically review discrete choice experiments (DCEs) about patients’ preferences for cancer treatment and assessed the relative importance of outcome, process and cost attributes. A systematic literature review was conducted using PubMed and EMBASE to identify all DCEs investigating patients’ preferences for cancer treatment between January 2010 and April 2016. Attributes were classified into outcome, process and cost attributes, and their relative importance was assessed. A total of 28 DCEs were identified.…
Decision Analysis | Economics/Finance | Chronic Disease/Risk | Preferences/Values | Health Outcomes | Cost-Effectiveness Analysis | Health Systems | Health/Medicine | North America | Europe -
ReviewPublication 2017Quality of Life as an Outcome of Opioid Use Disorder Treatment
The recent opioid epidemic has prompted renewed interest in opioid use disorder treatment, but there …
The recent opioid epidemic has prompted renewed interest in opioid use disorder treatment, but there is little evidence regarding health-related quality-of-life (HRQoL) outcomes in treatment programs. Measuring HRQoL represents an opportunity to consider outcomes of opioid use disorder treatment that are more patient-centered and more relevant to overall health than abstinence alone. This systematic literature review explores the extent to which the collection of HRQoL by opioid treatment programs is documented in the treatment program literature.…
Evidence Synthesis | Economics/Finance | Chronic Disease/Risk | Preferences/Values | Health Outcomes | Mental Health | Social Determinants | Health Systems | Health/Medicine -
ArticlePublication 2015Population Health Model (POHEM): An Overview
This paper provides an overview of the rationale, methodology and applications of the Population Health …
This paper provides an overview of the rationale, methodology and applications of the Population Health Model (POHEM). POHEM is a health microsimulation model, developed at Statistics Canada in the early 1990s. The authors describe that POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of health. The model dynamically simulates individuals’ disease states, risk factors, and health determinants, in order…
Evidence Synthesis | Economics/Finance | Chronic Disease/Risk | Costing Methods | Mathematical Models | Microsimulation | Calibration/Validation | Health Systems | Policy/Regulation | Clinical Care | Health/Medicine | North America -
ArticlePublication 2014Cost of a Primary Care-Based Childhood Obesity Prevention Intervention
This study evaluated the cost of a primary care-based obesity prevention intervention (High Five for …
This study evaluated the cost of a primary care-based obesity prevention intervention (High Five for Kids) for children ages 2-6 years, compared to usual care. U.S. pediatric guidelines recommend that childhood obesity counseling be done in primary care settings. The clinical trial aimed to modify children’s nutrition and TV viewing habits through a motivational interviewing intervention. The authors assessed the visit-related costs for children enrolled in the trial, and found that the mean costs for…
Decision Analysis | Economics/Finance | Chronic Disease/Risk | Costing Methods | Child/Nutrition | Clinical Care | Health/Medicine | North America -
ReviewPublication 2011Simulation Models of Obesity: A Review of the Literature
Simulation models combine information from a variety of sources to provide a useful tool for …
Simulation models combine information from a variety of sources to provide a useful tool for examining how the effects of obesity unfold over time and impact population health. They can aid in the understanding of the complex interaction of the drivers of diet and activity and their relation to health outcomes. This paper provided an overview of different types of simulation models used to evaluate the potential impact of policies to address the obesity epidemic.…
Decision Analysis | Economics/Finance | Chronic Disease/Risk | Mathematical Models | State-Transition | Microsimulation | Calibration/Validation | Cost-Effectiveness Analysis | Child/Nutrition | Food/Agriculture | Health/Medicine -
ReviewPublication 2006Public Health Policy for Cervical Cancer Prevention: Decision Science, Economic Evaluation, & Mathematical Modeling
Several factors are changing the landscape of cervical cancer control, including a better understanding of …
Several factors are changing the landscape of cervical cancer control, including a better understanding of the natural history of human papillomavirus (HPV), reliable assays for detecting high-risk HPV infections, and a soon to be available HPV-16/18 vaccine. There are important differences in the relevant policy questions for different settings. By synthesizing and integrating the best available data, the use of modeling in a decision analytic framework can identify those factors most likely to influence outcomes,…
Decision Analysis | Economics/Finance | Chronic Disease/Risk | Mathematical Models | Cost-Effectiveness Analysis | Infectious Diseases | Health/Medicine | Science/Technology | Global