Journal article
Improving bone mineral density reporting to patients with an illustration of personal fracture risk
BMC medical informatics and decision making, Vol.14(1), pp.101-101
11/25/2014
DOI: 10.1186/s12911-014-0101-y
PMCID: PMC4260260
PMID: 25743200
Abstract
To determine patients' preferences for, and understanding of, FRAX® fracture risk conveyed through illustrations.
Drawing on examples from published studies, four illustrations of fracture risk were designed and tested for patient preference, ease of understanding, and perceived risk. We enrolled a convenience sample of adults aged 50 and older at two medical clinics located in the Midwestern and Southern United States. In-person structured interviews were conducted to elicit patient ranking of preference, ease of understanding, and perceived risk for each illustration.
Most subjects (n = 142) were female (64%), Caucasian (76%) and college educated (78%). Of the four risk depictions, a plurality of participants (37%) listed a bar graph as most preferred. Subjects felt this illustration used the stoplight color system to display risk levels well and was the most "clear," "clean," and "easy to read". The majority of subjects (52%) rated the pictogram as the most difficult to understand as this format does not allow people to quickly ascertain their individual risk category.
Communicating risk to patients with illustrations can be done effectively with clearly designed illustrations responsive to patient preference.
ClinicalTrials.gov Identifier: NCT01507662.
Details
- Title: Subtitle
- Improving bone mineral density reporting to patients with an illustration of personal fracture risk
- Creators
- Stephanie W Edmonds - College of Nursing, University of Iowa, Iowa City, IA, USA. stephanie-edmonds@uiowa.eduPeter Cram - University Health Network and Mount Sinai Hospital, Toronto, ON, Canada. peter.cram@uhn.caXin Lu - Division of General Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA. xin-lu@uiowa.eduDouglas W Roblin - School of Public Health, Georgia State University, Atlanta, GA, USA. droblin@gsu.eduNicole C Wright - Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA. ncwright@uab.eduKenneth G Saag - Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA. ksaag@uab.eduSamantha L Solimeo - Department of Veterans Affairs, Center for Comprehensive Access & Delivery Research and Evaluation (CADRE), Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA. samantha.solimeo@va.govPAADRN Investigators
- Resource Type
- Journal article
- Publication Details
- BMC medical informatics and decision making, Vol.14(1), pp.101-101
- DOI
- 10.1186/s12911-014-0101-y
- PMID
- 25743200
- PMCID
- PMC4260260
- NLM abbreviation
- BMC Med Inform Decis Mak
- ISSN
- 1472-6947
- eISSN
- 1472-6947
- Grant note
- K24 AR062133 / NIAMS NIH HHS R01 AG033035 / NIA NIH HHS
- Language
- English
- Date published
- 11/25/2014
- Academic Unit
- Nursing; General Internal Medicine; Internal Medicine
- Record Identifier
- 9984094571902771
Metrics
18 Record Views