scholarly journals Implications and applications of systematic reviews for evidence-based dentistry and comparative effectiveness research: A sample study on antibiotics for oro-facial cellulitis treatment

2015 ◽  
Vol 6 (4) ◽  
pp. 134
Author(s):  
Francesco Chiappelli ◽  
Quyen Bach ◽  
Vandan Kasar
2011 ◽  
Vol 25 (3) ◽  
pp. 191-209 ◽  
Author(s):  
Maria C. Katapodi ◽  
Laurel L. Northouse

The increased demand for evidence-based health care practices calls for comparative effectiveness research (CER), namely the generation and synthesis of research evidence to compare the benefits and harms of alternative methods of care. A significant contribution of CER is the systematic identification and synthesis of available research studies on a specific topic. The purpose of this article is to provide an overview of methodological issues pertaining to systematic reviews and meta-analyses to be used by investigators with the purpose of conducting CER. A systematic review or meta-analysis is guided by a research protocol, which includes (a) the research question, (b) inclusion and exclusion criteria with respect to the target population and studies, © guidelines for obtaining relevant studies, (d) methods for data extraction and coding, (e) methods for data synthesis, and (f ) guidelines for reporting results and assessing for bias. This article presents an algorithm for generating evidence-based knowledge by systematically identifying, retrieving, and synthesizing large bodies of research studies. Recommendations for evaluating the strength of evidence, interpreting findings, and discussing clinical applicability are offered.


2017 ◽  
Vol 19 (10) ◽  
pp. 1081-1091 ◽  
Author(s):  
Kathryn A. Phillips ◽  
Patricia A. Deverka ◽  
Harold C. Sox ◽  
Muin J. Khoury ◽  
Lewis G. Sandy ◽  
...  

2010 ◽  
Vol 1;13 (1;1) ◽  
pp. E23-E54
Author(s):  
Laxmaiah Manchikanti

While the United States leads the world in many measures of health care innovation, it has been suggested that it lags behind many developed nations in a variety of health outcomes. It has also been stated that the United States continues to outspend all other Organisation for Economic Co-operation and Development (OECD) countries by a wide margin. Spending on health goods and services per person in the United States, in 2007, increased to $7,290 – almost 2½ times the average of all OECD countries. Rising health care costs in the United States have been estimated to increase to 19.1% of gross domestic product (GDP) or $4.4 trillion by 2018. The increases are illustrated in both public and private sectors. Higher health care costs in the United States are implied from the variations in the medical care from area to area around the country, with almost 50% of medical care being not evidence-based, and finally as much as 30% of spending reflecting medical care of uncertain or questionable value. Thus, comparative effectiveness research (CER) has been touted by supporters with high expectations to resolve most ill effects of health care in the United States and provide high quality, less expensive, universal health care. CER is defined as the generation and synthesis of evidence that compares the benefits and harms of alternate methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care. The efforts of CER in the United States date back to the late 1970’s even though it was officially born with the Medicare Modernization Act (MMA) and has been rejuvenated with the American Recovery and Reinvestment Act (ARRA) of 2009 with an allocation of $1.1 billion. CER has been the basis for health care decision-making in many other countries. According to the International Network of Agencies for Health Technology Assessments (INAHTA), many industrialized countries have bodies that are charged with health technology assessments (HTAs) or comparative effectiveness studies. Of all the available agencies, the National Institute for Health and Clinical Excellence (NICE) of the United Kingdom is the most advanced, stable, and has provided significant evidence, though based on rigid and proscriptive economic and clinical formulas. While CER is making a rapid surge in the United States, supporters and opponents are expressing their views. Part I of this comprehensive review will describe facts, fallacies, and politics of CER with discussions to understand basic concepts of CER. Key words: Comparative effectiveness research, evidence-based medicine, Institute of Medicine, National Institute for Health and Clinical Excellence, interventional pain management, interventional techniques, geographic variations, inappropriate care.


2012 ◽  
Vol 30 (34) ◽  
pp. 4208-4214 ◽  
Author(s):  
Katrina Armstrong

Comparative effectiveness research (CER) seeks to assist consumers, clinicians, purchasers, and policy makers to make informed decisions to improve health care at both the individual and population levels. CER includes evidence generation and evidence synthesis. Randomized controlled trials are central to CER because of the lack of selection bias, with the recent development of adaptive and pragmatic trials increasing their relevance to real-world decision making. Observational studies comprise a growing proportion of CER because of their efficiency, generalizability to clinical practice, and ability to examine differences in effectiveness across patient subgroups. Concerns about selection bias in observational studies can be mitigated by measuring potential confounders and analytic approaches, including multivariable regression, propensity score analysis, and instrumental variable analysis. Evidence synthesis methods include systematic reviews and decision models. Systematic reviews are a major component of evidence-based medicine and can be adapted to CER by broadening the types of studies included and examining the full range of benefits and harms of alternative interventions. Decision models are particularly suited to CER, because they make quantitative estimates of expected outcomes based on data from a range of sources. These estimates can be tailored to patient characteristics and can include economic outcomes to assess cost effectiveness. The choice of method for CER is driven by the relative weight placed on concerns about selection bias and generalizability, as well as pragmatic concerns related to data availability and timing. Value of information methods can identify priority areas for investigation and inform research methods.


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