Literature DB >> 23662166

Nudging best practice: the HITECH act and behavioral medicine.

B W Hesse1, D K Ahern, S S Woods.   

Abstract

In February 2009, the US Congress passed the Health Information Technology for Economic and Consumer Health (HITECH) Act in order to stimulate the "meaningful use" of health information technology within medical practice. Economists have noted that other sectors in the economy have demonstrated substantive productivity improvements from investments in information technology but that the health sector lags behind. The "meaningful use" stipulation of the HITECH Act focuses systems redesign within the health sector on user's behavior, a provision that opens a window of contribution from specialists in behavioral medicine. There are several ways for behavioral medicine to become involved in the redesign. One is to help craft a health services environment that optimizes communication between providers and patients, between primary care and specialist care providers, and between patients and their caregivers. Another is to help practitioners and policy-makers create new "decisional architectures" for "nudging" behavior in positive ways through better incentives, understandable instructions, healthy defaults, instructive feedback, back-ups for error, and structured decision-making. New funding opportunities in research, implementation, and training may facilitate the involvement of behavioral medicine-an involvement that is crucial for ensuring the success of reform efforts in the long run.

Entities:  

Keywords:  Electronic health record; Informatics; Meaningful use; Sociotechnical

Year:  2011        PMID: 23662166      PMCID: PMC3646398          DOI: 10.1007/s13142-010-0001-3

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  29 in total

1.  Psychological research online: report of Board of Scientific Affairs' Advisory Group on the Conduct of Research on the Internet.

Authors:  Robert Kraut; Judith Olson; Mahzarin Banaji; Amy Bruckman; Jeffrey Cohen; Mick Couper
Journal:  Am Psychol       Date:  2004 Feb-Mar

2.  Measuring meaningful use.

Authors:  Sean O Hogan; Stephanie M Kissam
Journal:  Health Aff (Millwood)       Date:  2010-04       Impact factor: 6.301

3.  Guiding the health information technology agenda. Interviewed by David J. Brailer.

Authors:  David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2010-04       Impact factor: 6.301

4.  Imagining an electronic medical record for turning cancer screening knowledge into practice.

Authors:  Stephen H Taplin; David Rollason; Anne Camp; Kristen diDonato; Elizabeth Maggenheimer
Journal:  Am J Prev Med       Date:  2010-01       Impact factor: 5.043

5.  Establishment of the temporary certification program for health information technology. Final rule.

Authors: 
Journal:  Fed Regist       Date:  2010-06-24

6.  Meaningful use of health information technology is managing information.

Authors:  Richard J Baron
Journal:  JAMA       Date:  2010-07-07       Impact factor: 56.272

7.  An interface-driven analysis of user interactions with an electronic health records system.

Authors:  Kai Zheng; Rema Padman; Michael P Johnson; Herbert S Diamond
Journal:  J Am Med Inform Assoc       Date:  2008-12-11       Impact factor: 4.497

8.  What it takes: characteristics of the ideal personal health record.

Authors:  James S Kahn; Veenu Aulakh; Adam Bosworth
Journal:  Health Aff (Millwood)       Date:  2009 Mar-Apr       Impact factor: 6.301

9.  Populomics.

Authors:  M C Gibbons
Journal:  Stud Health Technol Inform       Date:  2008

10.  eHealth research from the user's perspective.

Authors:  Bradford W Hesse; Ben Shneiderman
Journal:  Am J Prev Med       Date:  2007-05       Impact factor: 5.043

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  8 in total

1.  Why are Tailored Messages More Effective? A Multiple Mediation Analysis of a Breast Cancer Screening Intervention.

Authors:  Jakob D Jensen; Andy J King; Nicholas Carcioppolo; LaShara Davis
Journal:  J Commun       Date:  2012-10

2.  News from NIH: the patient-centered medical home.

Authors:  Bradford W Hesse; Wendy J Nilsen; Christine M Hunter
Journal:  Transl Behav Med       Date:  2012-09       Impact factor: 3.046

3.  Prescribing Technology to Increase Uptake of Depression Treatment in Primary Care: A Pre-implementation Focus Group Study of SOVA (Supporting Our Valued Adolescents).

Authors:  Ana Radovic; Kayla Odenthal; Ana T Flores; Elizabeth Miller; Bradley D Stein
Journal:  J Clin Psychol Med Settings       Date:  2020-12

4.  Supporting implementation of evidence-based behavioral interventions: the role of data liquidity in facilitating translational behavioral medicine.

Authors:  Amy P Abernethy; Jane L Wheeler; Paul K Courtney; Francis J Keefe
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

5.  Skin self-examinations and visual identification of atypical nevi: comparing individual and crowdsourcing approaches.

Authors:  Andy J King; Robert W Gehl; Douglas Grossman; Jakob D Jensen
Journal:  Cancer Epidemiol       Date:  2013-09-26       Impact factor: 2.984

Review 6.  Informatics-enabled behavioral medicine in oncology.

Authors:  Bradford W Hesse; Jerry M Suls
Journal:  Cancer J       Date:  2011 Jul-Aug       Impact factor: 3.360

7.  Grid-enabled measures: using Science 2.0 to standardize measures and share data.

Authors:  Richard P Moser; Bradford W Hesse; Abdul R Shaikh; Paul Courtney; Glen Morgan; Erik Augustson; Sarah Kobrin; Kerry Y Levin; Cynthia Helba; David Garner; Marsha Dunn; Kisha Coa
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

Review 8.  Emerging digital technologies in cancer treatment, prevention, and control.

Authors:  Bradford W Hesse; Dominika Kwasnicka; David K Ahern
Journal:  Transl Behav Med       Date:  2021-11-30       Impact factor: 3.626

  8 in total

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