HERC database of mapping studies
HERC database of mapping studies, an Excel spreadsheet listing studies mapping to EQ-5D from other patient-reported outcome measures or clinical instruments, is now available. It presents details of the sample size, modelling methods and patient population, in addition to the citation details and source instruments that are mapped in each of the 135 studies meeting the inclusion criteria. An article summarising the methods of the literature review and the results of version 2.0 of the database has been published in Health and Quality of Life Outcomes. The current version (5.0) is based on searches conducted in April 2016; the database will be updated regularly as new studies are published.
The database aims to provide a readily-accessible collection of all studies mapping to EQ-5D that is easy to search and filter. We anticipate that this will be useful for:
- Those who wish to identify mapping studies to estimate utilities for cost-utility analyses and/or decision-analytical models constructed for publication or for submissions to health technology assessment (HTA) organisations, such as NICE, SMC, CADTH or PBAC.
- Authors, editors or reviewers who wish to assess the novelty of a new mapping study.
- Those conducting systematic reviews of methods for estimating utilities or QALYs.
- Those seeking to identify the estimation models and sample sizes currently used in mapping studies and identify new developments for further research.
RobotReviewer, a user interface coupled with the machine learning technologies, is a system to automate the assessment of bias of randomized controlled trials using the Cochrane RoB tool. For each domain in the Risk of Bias (RoB) tool, the system should reliably perform two tasks: 1) determine whether a trial is at low risk of bias (document classification of low v high or unclear risk of bias), and 2) identify text from the trial report that supports these bias judgments (sentence classification of relevant vs. irrelevant)[…]. Conclusion: Risk of bias assessment may be automated with reasonable accuracy. Automatically identified text supporting bias assessment is of equal quality to the manually identified text in the CDSR. This technology could substantially reduce reviewer workload and expedite evidence syntheses. (Adapted from : RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials.)
Automatic bias assessment for articles in the Trip Database (Robot-Reviewer website with the GitHub access to source code): http://www.robotreviewer.net/blog/2016/7/29/robotreviewer-trip
TRIP database (EBM resource): https://www.tripdatabase.com/
Blog post from TRIP database: https://blog.tripdatabase.com/2016/08/06/new-feature-automated-assessment-of-bias/
Stand alone tool: https://robot-reviewer.vortext.systems/
EQUATOR Reporting Guideline Decision Tree
EQUATOR have created a simple flow chart to help authors, editors and peer reviewers find the most appropriate checklist and reporting guideline (Feb 2016): Selecting the appropriate reporting guideline for your article. They have also collaborated with Penelope Research to develop an online wizard based on the chart.
CIHI Patient Cost Estimator (PCE) Tool
The Patient Cost Estimator (PCE) is an interactive tool developed by CIHI to estimate the average cost of various services provided in hospitals. This tool provides information nationally, by jurisdiction and by patient age group. The cost estimates represent the estimated average cost of services provided to the average typical inpatient in an acute care facility.
Access CIHI Patient Cost Estimator (PCE) page to learn more.
Canadian Institute for Health Information (CIHI) is an independent, not-for-profit organization that provides essential information on Canada’s health system and the health of Canadians. Our stakeholders use our broad range of health databases, measurements and standards, together with our evidence-based reports and analyses, in their day-to-day decision-making. We protect the privacy of Canadians by ensuring the confidentiality, integrity and availability of our health care information.
ISPOR Education Resources
As a scientific society, ISPOR provides and promotes quality education on pharmacoeconomics / health economics and outcomes research (clinical, economic, and patient-reported) and their use in health care decisions. Our educational opportunities include videos, webinars, online training, short courses (prior to ISPOR meetings), a directory of degree and non-degree education programs in outcomes research and related disciplines around the world, as well as tools for educators.
Access ISPOR Education page to learn more.
Founded in 1995 as an international multidisciplinary professional membership society, the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) advances the policy, science, and practice of pharmacoeconomics (health economics) and outcomes research (the scientific discipline that evaluates the effect of health care interventions on patient well-being including clinical, economic, and patient-centered outcomes).