Literature DB >> 18347901

What types of evidence are most needed to advance behavioral medicine?

Russell E Glasgow1.   

Abstract

BACKGROUND: This editorial presents a perspective on the types of evidence most needed to advance behavioral medicine given the current status of the field.
PURPOSE: The paper argues that the types of evidence most needed at present are evidence that is contextual, practical, and robust.
METHODS: Each of the above issues is discussed with attention to characteristics of interventions; representativeness at the multiple levels of setting, clinical staff, and participants; and research design and measures. Arguments are made from philosophy of science, status of the literature, and future directions perspectives.
RESULTS: The current dominant paradigm of reductionistic studies focused predominantly on internal validity using highly homogenous patients and academic settings is not and will not produce the desired translation to real-world practice and policy. Instead, broader "practical" clinical and behavioral trials are needed that address the influence of the context in which programs are conducted, that include outcomes important to decision makers and communities, and that focus on moderating, mediating, and economic issues.
CONCLUSIONS: To create programs that will be disseminable, a greater focus is needed on external validity and transparency of reporting. We need to realize that the world is complex and embrace and study this complexity to produce further progress. Such an approach can produce evidence that is both rigorous and relevant.

Entities:  

Mesh:

Year:  2008        PMID: 18347901     DOI: 10.1007/s12160-007-9008-5

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  54 in total

1.  Behavioral medicine and the health of our nation: accelerating our impact.

Authors:  Karen Emmons
Journal:  Ann Behav Med       Date:  2012-04

2.  Who will deliver on the promise?

Authors:  Mary E Northridge; Cheryl G Healton
Journal:  Am J Public Health       Date:  2011-11-28       Impact factor: 9.308

3.  Developing robust, sustainable, implementation systems using rigorous, rapid and relevant science.

Authors:  Russell E Glasgow; David Chambers
Journal:  Clin Transl Sci       Date:  2012-02-23       Impact factor: 4.689

4.  Enabling lay providers to conduct CBT for older adults: key steps for expanding treatment capacity.

Authors:  Cynthia Kraus-Schuman; Nancy L Wilson; Amber B Amspoker; Paula D Wagener; Jessica S Calleo; Gretchen Diefenbach; Derek Hopko; Jeffrey A Cully; Ellen Teng; Howard M Rhoades; Mark E Kunik; Melinda A Stanley
Journal:  Transl Behav Med       Date:  2015-09       Impact factor: 3.046

5.  Results from the Data & Democracy initiative to enhance community-based organization data and research capacity.

Authors:  Amy Carroll-Scott; Peggy Toy; Roberta Wyn; Jazmin I Zane; Steven P Wallace
Journal:  Am J Public Health       Date:  2012-05-17       Impact factor: 9.308

Review 6.  Behavior matters.

Authors:  Edwin B Fisher; Marian L Fitzgibbon; Russell E Glasgow; Debra Haire-Joshu; Laura L Hayman; Robert M Kaplan; Marilyn S Nanney; Judith K Ockene
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

7.  Implementation science and urban health research.

Authors:  Sebastian Bonner
Journal:  J Urban Health       Date:  2009-03       Impact factor: 3.671

8.  National Institutes of Health approaches to dissemination and implementation science: current and future directions.

Authors:  Russell E Glasgow; Cynthia Vinson; David Chambers; Muin J Khoury; Robert M Kaplan; Christine Hunter
Journal:  Am J Public Health       Date:  2012-05-17       Impact factor: 9.308

9.  An Algorithm for Creating Virtual Controls Using Integrated and Harmonized Longitudinal Data.

Authors:  William B Hansen; Shyh-Huei Chen; Santiago Saldana; Edward H Ip
Journal:  Eval Health Prof       Date:  2018-05-03       Impact factor: 2.651

10.  Optimized probability sampling of study sites to improve generalizability in a multisite intervention trial.

Authors:  Jennifer L Kraschnewski; Thomas C Keyserling; Shrikant I Bangdiwala; Ziya Gizlice; Beverly A Garcia; Larry F Johnston; Alison Gustafson; Lindsay Petrovic; Russell E Glasgow; Carmen D Samuel-Hodge
Journal:  Prev Chronic Dis       Date:  2009-12-15       Impact factor: 2.830

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.