Literature DB >> 24551350

An information-centric framework for designing patient-centered medical decision aids and risk communication.

Lyndsey Franklin1, Catherine Plaisant1, Ben Shneiderman1.   

Abstract

Risk communication is a major challenge in productive patient-physician communication. Patient decision making responsibilities come with an implicit assumption that patients are sufficiently educated and confident in their abilities to make decisions about their care based on evidence based treatment recommendations. Attempts to improve health literacy in patients by way of graphical decision aids have met with success. Such decision aids typically have been designed for a general population and evaluated based on whether or not users of the decision aid can accurately report the data points in isolation. To classify decision aids, we present an information-centric framework for assessing the content delivered to patients. We provide examples of our framework from a literature survey and suggest ways improvements can be made by considering all dimensions of our framework.

Entities:  

Mesh:

Year:  2013        PMID: 24551350      PMCID: PMC3900191     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  34 in total

Review 1.  Tailored and targeted health communication: strategies for enhancing information relevance.

Authors:  Matthew W Kreuter; Ricardo J Wray
Journal:  Am J Health Behav       Date:  2003 Nov-Dec

2.  A taxonomic description of computer-based clinical decision support systems.

Authors:  Amy Berlin; Marco Sorani; Ida Sim
Journal:  J Biomed Inform       Date:  2006-01-09       Impact factor: 6.317

Review 3.  Translating evidence-based information into effective risk communication: current challenges and opportunities.

Authors:  Amit Kumar Ghosh; Karthik Ghosh
Journal:  J Lab Clin Med       Date:  2005-04

4.  The impact of using visual images of the body within a personalized health risk assessment: an experimental study.

Authors:  Gareth J Hollands; Theresa M Marteau
Journal:  Br J Health Psychol       Date:  2012-12-21

Review 5.  Design features of graphs in health risk communication: a systematic review.

Authors:  Jessica S Ancker; Yalini Senathirajah; Rita Kukafka; Justin B Starren
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

6.  Presenting risk information to people with diabetes: evaluating effects and preferences for different formats by a web-based randomised controlled trial.

Authors:  Adrian Edwards; Richard Thomas; Rhys Williams; Andrew L Ellner; Polly Brown; Glyn Elwyn
Journal:  Patient Educ Couns       Date:  2006-07-24

7.  Challenges for designing and implementing decision aids.

Authors:  Deb Feldman-Stewart; Michael D Brundage
Journal:  Patient Educ Couns       Date:  2004-09

8.  Communicating risk information: the influence of graphical display format on quantitative information perception-Accuracy, comprehension and preferences.

Authors:  Melanie Price; Rachel Cameron; Phyllis Butow
Journal:  Patient Educ Couns       Date:  2007-10-01

9.  Understanding why decision aids work: linking process with outcome.

Authors:  Hilary L Bekker; Jenny Hewison; Jim G Thornton
Journal:  Patient Educ Couns       Date:  2003-07

10.  Development of a prototype personal digital assistant-decision support system for the management of adult obesity.

Authors:  Nam-Ju Lee; Suzanne Bakken
Journal:  Int J Med Inform       Date:  2007-07-02       Impact factor: 4.046

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  2 in total

1.  Design and feasibility of integrating personalized PRO dashboards into prostate cancer care.

Authors:  Andrea L Hartzler; Jason P Izard; Bruce L Dalkin; Sean P Mikles; John L Gore
Journal:  J Am Med Inform Assoc       Date:  2015-08-09       Impact factor: 4.497

2.  Risk communication in a patient decision aid for radiotherapy in breast cancer: How to deal with uncertainty?

Authors:  D B Raphael; N S Russell; J M Immink; P G Westhoff; M C Stenfert Kroese; M R Stam; L M van Maurik; H J G D van den Bongard; J H Maduro; M G A Sattler; T van der Weijden; L J Boersma
Journal:  Breast       Date:  2020-04-06       Impact factor: 4.380

  2 in total

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