ReviewOchsner journal2015
Clinical Comparative Effectiveness Research Through the Lens of Healthcare Decisionmakers.
Review in Ochsner journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advancing the role of real-world evidence in comparative effectiveness research.Journal of comparative effectiveness research · 2024Pooled it
- A cluster-randomized trial of workplace ergonomics and neck-specific exercise versus ergonomics and health promotion for office workers to manage neck pain - a secondary outcome analysis.BMC musculoskeletal disorders · 2021Trial
- Integrated Real-World Data Warehouses Across 7 Evolving Asian Health Care Systems: Scoping Review.Journal of medical Internet research · 2024Article
- Conceptualizing learning health systems: A mapping review.Learning health systems · 2023Article
- Article
- Patient preferences for venous thromboembolism prophylaxis after injury: a discrete choice experiment.BMJ open · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare expenditures in the United States exceed the healthcare expenditures of other countries, yet relatively unfavorable health outcomes persist. Despite the emergence of numerous evidence-based interventions, wide variations in clinical care have caused disparities in quality of care and cost. Comparative effectiveness and cost effectiveness research may better guide healthcare decisionmakers in determining which interventions work best, for which populations, under which conditions, and at what cost.
methodsThis article reviews national health policies that promote comparative effectiveness research (CER), healthcare decisionmaker roles in CER, methodological approaches to CER, and future implications of CER.
resultsThis article provides a brief summary of CER health policy up to the Patient Protection and Affordable Care Act and its establishment of the Patient-Centered Outcomes Research Institute (PCORI). Through PCORI, participatory methods for engaging healthcare decisionmakers in the entire CER process have gained momentum as a strategy for improving the relevance of research and expediting the translation of research into practice. Well-designed, methodologically rigorous observational studies and randomized trials conducted in real-world settings have the potential to improve the quality, generalizability, and transferability of study findings.
conclusionLearning health systems and practice-based research networks provide the infrastructure for advancing CER methods, generating local solutions to high-quality cost-effective care, and transitioning research into implementation and dissemination science-all of which will ultimately guide health policy on clinical care, payment for care, and population health.
Indexed as
Identifiers
26130978PMC4482557What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.