Literature DB >> 22224891

The methods of comparative effectiveness research.

Harold C Sox1, Steven N Goodman.   

Abstract

This review describes methods used in comparative effectiveness research (CER). The aim of CER is to improve decisions that affect medical care at the levels of both policy and the individual. The key elements of CER are (a) head-to-head comparisons of active treatments, (b) study populations typical of day-to-day clinical practice, and (c) a focus on evidence to inform care tailored to the characteristics of individual patients. These requirements will stress the principal methods of CER: observational research, randomized trials, and decision analysis. Observational studies are especially vulnerable because they use data that directly reflect the decisions made in usual practice. CER will challenge researchers and policy makers to think deeply about how to extract more actionable information from the vast enterprise of the daily practice of medicine. Fortunately, the methods are largely applicable to research in the public health system, which should therefore benefit from the intense interest in CER.

Entities:  

Mesh:

Year:  2012        PMID: 22224891     DOI: 10.1146/annurev-publhealth-031811-124610

Source DB:  PubMed          Journal:  Annu Rev Public Health        ISSN: 0163-7525            Impact factor:   21.981


  54 in total

1.  Can Big Data Analyses Help Speed Up the Clinical Development of Mucoactive Drugs for Symptomatic RTIs?

Authors:  Helmut H Albrecht
Journal:  Lung       Date:  2016-01-21       Impact factor: 2.584

2.  Comparative effectiveness of laparoscopy vs open colectomy among nonmetastatic colon cancer patients: an analysis using the National Cancer Data Base.

Authors:  Zhiyuan Zheng; Ahmedin Jemal; Chun Chieh Lin; Chung-Yuan Hu; George J Chang
Journal:  J Natl Cancer Inst       Date:  2015-02-06       Impact factor: 13.506

3.  Data quality assessment framework to assess electronic medical record data for use in research.

Authors:  Andrew P Reimer; Alex Milinovich; Elizabeth A Madigan
Journal:  Int J Med Inform       Date:  2016-03-24       Impact factor: 4.046

Review 4.  Clinical Comparative Effectiveness Research Through the Lens of Healthcare Decisionmakers.

Authors:  Eboni G Price-Haywood
Journal:  Ochsner J       Date:  2015

5.  A Framework for Data Quality Assessment in Clinical Research Datasets.

Authors:  Kathleen Lee; Nicole Weiskopf; Jyotishman Pathak
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

Review 6.  Methods in comparative effectiveness research.

Authors:  Katrina Armstrong
Journal:  J Clin Oncol       Date:  2012-10-15       Impact factor: 44.544

7.  Current use of routinely collected health data to complement randomized controlled trials: a meta-epidemiological survey.

Authors:  Lars G Hemkens; Despina G Contopoulos-Ioannidis; John P A Ioannidis
Journal:  CMAJ Open       Date:  2016-04-06

8.  Securing reimbursement for patient centered haemophilia care: major collaborative efforts are needed.

Authors:  Karin C Berger; Brian M Feldman; Joan Wasserman; Wolfgang Schramm; Victor Blanchette; Kathelijn Fischer
Journal:  Haematologica       Date:  2016-03       Impact factor: 9.941

9.  Validation of Health Event Capture in the Marshfield Epidemiologic Study Area.

Authors:  Amy L Kieke; Burney A Kieke; Sarah L Kopitzke; David L McClure; Edward A Belongia; Jeffrey J VanWormer; Robert T Greenlee
Journal:  Clin Med Res       Date:  2014-12-08

Review 10.  Comparative effectiveness research, genomics-enabled personalized medicine, and rapid learning health care: a common bond.

Authors:  Geoffrey S Ginsburg; Nicole M Kuderer
Journal:  J Clin Oncol       Date:  2012-10-15       Impact factor: 44.544

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