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effectivehealthcare.ahrq.gov/products/mental-health-apps/topic-overview
March 01, 2021 - develop a tool to assist consumers, family members and peer supports, providers and health systems to analyze
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effectivehealthcare.ahrq.gov/products/methods-guidance-applicability/slides
June 26, 2010 - This presentation focuses on assessing applicability, a task in the fourth of five steps, "Analyze and
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effectivehealthcare.ahrq.gov/products/methods-guidance-grading-evidence/slides
June 26, 2010 - This presentation focuses on grading the strength of evidence, a task in the fourth of five steps, "Analyze
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effectivehealthcare.ahrq.gov/products/health-care-interventions-review/white-paper
March 03, 2014 - features to using more theoretical approaches; decisions regarding whether and how to quantitatively analyze
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effectivehealthcare.ahrq.gov/products/patient-safety-drug-data/abstract
January 01, 2005 - the study of pharmaceuticals under investigation; and
The formulation of statistical approaches to analyze
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/medical-test-reviews-meta-analysis.ppt
June 01, 2012 - Deciding Which Metrics To Meta-analyze (1 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Why does it make sense to directly meta-analyze sensitivity and specificity? … Deciding Which Metrics To Meta-analyze (3 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Rarely is it meaningful to meta-analyze each value across studies. … Deciding Which Metrics To Meta-analyze (4 of 6)
It is less helpful to meta-analyze predictive values
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effectivehealthcare.ahrq.gov/sites/default/files/medical-test-reviews-meta-analysis.ppt
June 01, 2012 - Deciding Which Metrics To Meta-analyze (1 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Why does it make sense to directly meta-analyze sensitivity and specificity? … Deciding Which Metrics To Meta-analyze (3 of 6)
Trikalinos TA, Coleman CI, Griffith L, et al. … Rarely is it meaningful to meta-analyze each value across studies. … Deciding Which Metrics To Meta-analyze (4 of 6)
It is less helpful to meta-analyze predictive values
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effectivehealthcare.ahrq.gov/products/health-care-quality-improvement/research
February 20, 2013 - Various approaches were taken to analyze the evidence in meaningful ways for key audiences.
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effectivehealthcare.ahrq.gov/products/continuous-outcomes-quantitative-synthesis/methods
July 25, 2013 - RCTs) for a comparative effectiveness review, continuous outcomes are usually less straightforward to analyze
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effectivehealthcare.ahrq.gov/products/observational-studies/white-paper
December 13, 2013 - studies added value in light of the additional resources needed to search for, select, appraise, and analyze
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effectivehealthcare.ahrq.gov/products/trauma-child-interventions/research
February 11, 2013 - We did not quantitatively analyze our data because of statistical heterogeneity, insufficient numbers
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/plant-based-chronic-pain-appendix-f1-f4-jan-2020.xlsx
January 01, 2020 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Setting Pain Population Pain Condition Age Measure mean, median Age, years Female (%) Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, other % Pain Duration Measure
(mean, median) Pain …
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/models-care-adult-survivors-childhood-cancer-evidence-summary.pdf
February 01, 2022 - researchers) and conducted
targeted and iterative searching to (1) identify models of survivorship care and analyze … identify available tools, training, and other resources for childhood cancer
survivorship care and analyze
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effectivehealthcare.ahrq.gov/sites/default/files/draft-appendix-pbt-study-details-results-evidence-tables.xlsx
May 11, 2021 - E-1. Can. Study Characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % Pain Duration Measure
(Mean, Median) Pain Duration, months Psychiatric Co…
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/plant-based-chronic-pain-review-q3-tables-f1-4.xlsx
June 15, 2021 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % Pain Duration Measure
(Me…
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/plant-based-chronic-pain-review-q2-tables-f1-4.xlsx
March 15, 2021 - Living Systematic Review on Cannabis for Chronic Pain – Quarterly Progress Report 2 Tables
F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Age Measure (Mean, Median) Age, Years Female % Race, White %…
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-app-f1-f4-tables-surveillance-report-2.xlsx
January 22, 2022 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/pbt-lsr-draft-ets-rcts.xlsx
March 15, 2022 - E-1. Can. Study Characteristics
Table E-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/cannabis-app-f1-f4-tables-surveillance-report-2_0.xlsx
February 16, 2022 - F-1. Can. Study Characteristics
Table F-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…
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effectivehealthcare.ahrq.gov/sites/default/files/related_files/Appendix-E-Evidence-Tables-E1-E4.xlsx
November 04, 2021 - E-1. Can. Study Characteristics
Table E-1. Cannabis RCTs study characteristics
PMID Author, Year Study Design Crossover Design Setting Pain Population Pain Condition Prior Cannabis Exposure Age Measure (Mean, Median) Age, Years Female % Race, White % Race, Black % Race, Hispanic/Latino % Race, Asian % Race, Other % P…