Visual analogies, not graphs, increase patients' comprehension of changes in their health status
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Lisa V. Grossman | Ruth M. Masterson Creber | Meghan Reading Turchioe | Annie C. Myers | Dawon Baik | Parag Goyal | P. Goyal | R. M. Creber | Dawon Baik | M. Turchioe
[1] Steven K. Feiner,et al. Engaging hospitalized patients in clinical care: Study protocol for a pragmatic randomized controlled trial. , 2016, Contemporary clinical trials.
[2] P. Ubel,et al. Communicating side effect risks in a tamoxifen prophylaxis decision aid: the debiasing influence of pictographs. , 2008, Patient education and counseling.
[3] Lisa M. Schwartz,et al. The Role of Numeracy in Understanding the Benefit of Screening Mammography , 1997, Annals of Internal Medicine.
[4] Hadi Kharrazi,et al. Measure once, cut twice d adding patient-reported outcome measures to the electronic health record for comparative effectiveness research , 2013 .
[5] Jessica S. Ancker,et al. The Practice of Informatics: Design Features of Graphs in Health Risk Communication: A Systematic Review , 2006, J. Am. Medical Informatics Assoc..
[6] Angela Fagerlin,et al. Improving understanding of adjuvant therapy options by using simpler risk graphics , 2008, Cancer.
[7] S. Kripalani,et al. Validation of a Short, 3-Item Version of the Subjective Numeracy Scale , 2015, Medical decision making : an international journal of the Society for Medical Decision Making.
[8] T. Marteau,et al. Perceived effectiveness of stop smoking interventions: impact of presenting evidence using numbers, visual displays, and different timeframes. , 2012, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[9] M. Rotondo,et al. The Cost of Patient-Reported Outcomes in Medicine , 2018 .
[10] Chris North,et al. Information Visualization , 2008, Lecture Notes in Computer Science.
[11] Lisa V. Grossman,et al. Measuring health status and symptom burden using a web-based mHealth application in patients with heart failure , 2019, European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology.
[12] Michael Siegrist,et al. The Effect of Graphical and Numerical Presentation of Hypothetical Prenatal Diagnosis Results on Risk Perception , 2008, Medical decision making : an international journal of the Society for Medical Decision Making.
[13] M. Feola,et al. Cognitive impairment in heart failure patients , 2014, Journal of geriatric cardiology : JGC.
[14] R. Fitzpatrick,et al. Impact of patient-reported outcome measures on routine practice: a structured review. , 2006, Journal of evaluation in clinical practice.
[15] N. Devlin,et al. Getting the Most out of PROMs: Putting Health Outcomes at the Heart of NHS Decision-Making , 2010 .
[16] Noel T Brewer,et al. Tables or Bar Graphs? Presenting Test Results in Electronic Medical Records , 2012, Medical decision making : an international journal of the Society for Medical Decision Making.
[17] Peter Tugwell,et al. What types of interventions generate inequalities? Evidence from systematic reviews , 2012, Journal of Epidemiology & Community Health.
[18] D. Burkhoff,et al. Development and validation of a patient questionnaire to determine New York Heart Association classification. , 2004, Journal of cardiac failure.
[19] Use of analogy in learning scientific concepts. , 1993 .
[20] Nicole L. Exe,et al. Numeracy and Literacy Independently Predict Patients’ Ability to Identify Out-of-Range Test Results , 2014, Journal of medical Internet research.
[21] E. Sampson,et al. Dementia in the acute hospital: prospective cohort study of prevalence and mortality , 2009, British Journal of Psychiatry.
[22] Galina Velikova,et al. Measuring quality of life in routine oncology practice improves communication and patient well-being: a randomized controlled trial. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[23] E. Bantug,et al. Picture This: Presenting Longitudinal Patient-Reported Outcome Research Study Results to Patients , 2018, Medical decision making : an international journal of the Society for Medical Decision Making.
[24] Lisa M. Schwartz,et al. PSYCHOLOGICAL SCIENCE IN THE PUBLIC INTEREST Helping Doctors and Patients Make Sense of Health Statistics , 2022 .
[25] Heidrun Schumann,et al. Visualizing time-oriented data - A systematic view , 2007, Comput. Graph..
[26] Michael A. Martin,et al. “It's Like… You Know”: The Use of Analogies and Heuristics in Teaching Introductory Statistical Methods , 2003 .
[27] Amy P Abernethy,et al. Review of electronic patient-reported outcomes systems used in cancer clinical care. , 2014, Journal of oncology practice.
[28] Claire F. Snyder,et al. What do these scores mean? Presenting patient‐reported outcomes data to patients and clinicians to improve interpretability , 2017, Cancer.
[29] P. Raghubir,et al. Is 1/10 > 10/100? The effect of denominator salience on perceptions of base rates of health risk , 2008 .
[30] P. Ubel,et al. Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.
[31] David Feeny,et al. Assessing the use of health-related quality of life measures in the routine clinical care of lung-transplant patients , 2010, Quality of Life Research.
[32] J. Greenhalgh. The applications of PROs in clinical practice: what are they, do they work, and why? , 2009, Quality of Life Research.
[33] E. Boyko,et al. Brief questions to identify patients with inadequate health literacy. , 2004, Family medicine.
[34] N. Tangri,et al. Cognitive Impairment in Advanced Chronic Kidney Disease: The Canadian Frailty Observation and Interventions Trial , 2016, American Journal of Nephrology.
[35] G. Guyatt,et al. The impact of measuring patient-reported outcomes in clinical practice: a systematic review of the literature , 2008, Quality of Life Research.
[36] Andrew J. May,et al. A Comparison of Field-Based and Lab-Based Experiments to Evaluate User Experience of Personalised Mobile Devices , 2013, Adv. Hum. Comput. Interact..
[37] Sunmoo Yoon,et al. Method for the Development of Data Visualizations for Community Members with Varying Levels of Health Literacy , 2013, AMIA.
[38] Karen Page,et al. Screening for mild cognitive impairment in patients with heart failure: Montreal Cognitive Assessment versus Mini Mental State Exam , 2013, European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology.
[39] E. Bantug,et al. Engaging stakeholders to improve presentation of patient-reported outcomes data in clinical practice , 2016, Supportive Care in Cancer.
[40] Alexandre N. Tuch,et al. The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments , 2012, Int. J. Hum. Comput. Stud..
[41] J. Gore,et al. Symptom Presentation in Patients Hospitalized with Acute Heart Failure , 2010, Clinical cardiology.
[42] Steven K. Feiner,et al. Leveraging Patient-Reported Outcomes Using Data Visualization , 2018, Applied Clinical Informatics.
[43] Sunmoo Yoon,et al. Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy , 2016, J. Am. Medical Informatics Assoc..
[44] Suzanne Bakken,et al. A Systematic Method for Exploring Data Attributes in Preparation for Designing Tailored Infographics of Patient Reported Outcomes , 2018, EGEMS.
[45] Joanne Greenhalgh,et al. Implementing patient-reported outcomes assessment in clinical practice: a review of the options and considerations , 2012, Quality of Life Research.
[46] Edward T. Cokely,et al. Designing Visual Aids That Promote Risk Literacy: A Systematic Review of Health Research and Evidence-Based Design Heuristics , 2017, Hum. Factors.
[47] Neil W. Wagle. Implementing Patient-Reported Outcome Measures , 2017 .
[48] M. Brundage,et al. Added value of health-related quality of life measurement in cancer clinical trials: the experience of the NCIC CTG , 2010, Expert review of pharmacoeconomics & outcomes research.
[49] G. Lakoff,et al. Metaphors We Live By , 1980 .
[50] Maja Brückmann,et al. Four decades of research in science education : from curriculum development to quality improvement , 2008 .
[51] K. Meadows,et al. The effectiveness of the use of patient-based measures of health in routine practice in improving the process and outcomes of patient care: a literature review. , 1999, Journal of evaluation in clinical practice.
[52] Donald M. Berwick,et al. Era 3 for Medicine and Health Care. , 2016, JAMA.
[53] J. Baumhauer. Patient-Reported Outcomes - Are They Living Up to Their Potential? , 2017, The New England journal of medicine.
[54] Claire F. Snyder,et al. Communicating patient-reported outcome scores using graphic formats: results from a mixed-methods evaluation , 2015, Quality of Life Research.
[55] Jessica S. Ancker,et al. Good intentions are not enough: how informatics interventions can worsen inequality , 2018, J. Am. Medical Informatics Assoc..
[56] Jacqueline A. ter Stege,et al. Patient-Reported Outcome Measurement in Clinical Dermatological Practice: Relevance and Feasibility of a Web-Based Portal , 2015, Dermatology.
[57] J. Fries,et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap Cooperative Group During its First Two Years , 2007, Medical care.
[58] Edward T. Cokely,et al. Effective communication of risks to young adults: using message framing and visual aids to increase condom use and STD screening. , 2011, Journal of experimental psychology. Applied.
[59] M. Galesic,et al. Graph Literacy , 2011, Medical decision making : an international journal of the Society for Medical Decision Making.
[60] P. Ubel,et al. The impact of the format of graphical presentation on health-related knowledge and treatment choices. , 2008, Patient education and counseling.
[61] J. Perry,et al. Is Cognitive Function a Concern in Independent Elderly Adults Discharged Home from the Emergency Department in Canada After a Minor Injury? , 2014, Journal of the American Geriatrics Society.
[62] J T Hart,et al. THE INVERSE CARE LAW , 1971 .
[63] Xingda Qu,et al. Presenting self-monitoring test results for consumers: the effects of graphical formats and age , 2018, J. Am. Medical Informatics Assoc..
[64] Melissa D. Begg,et al. Using Visual Analogies To Teach Introductory Statistical Concepts , 2017 .
[65] Naoki Sato,et al. The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries. , 2014, Journal of the American College of Cardiology.
[66] Kilbourn Jp. Letter: Cystic fibrosis. , 1974 .
[67] P. Ubel,et al. Validation of the Subjective Numeracy Scale: Effects of Low Numeracy on Comprehension of Risk Communications and Utility Elicitations , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.
[68] George Hripcsak,et al. Engaging hospitalized patients with personalized health information: a randomized trial of an inpatient portal , 2018, J. Am. Medical Informatics Assoc..
[69] Roma Maguire,et al. What is the value of the routine use of patient-reported outcome measures toward improvement of patient outcomes, processes of care, and health service outcomes in cancer care? A systematic review of controlled trials. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[70] K. Wallston,et al. Short, subjective measures of numeracy and general health literacy in an adult emergency department. , 2011, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[71] M. Fornage,et al. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association , 2017, Circulation.
[72] Deborah Schrag,et al. Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[73] C. Whitlatch,et al. Decision-making for persons with cognitive impairment and their family caregivers , 2002, American journal of Alzheimer's disease and other dementias.
[74] Susan R. Goldman,et al. The Role of Prior Knowledge in Learning From Analogies in Science Texts , 2010 .
[75] Jacob Solomon,et al. Graphics help patients distinguish between urgent and non-urgent deviations in laboratory test results , 2016, J. Am. Medical Informatics Assoc..
[76] Pete Wegier,et al. Aiding risk information learning through simulated experience (ARISE): Using simulated outcomes to improve understanding of conditional probabilities in prenatal Down syndrome screening. , 2017, Patient education and counseling.
[77] Thomas S. Huang,et al. A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care , 2017, J. Biomed. Informatics.
[78] K. Weinfurt,et al. Reliability and construct validity of PROMIS® measures for patients with heart failure who undergo heart transplant , 2015, Quality of Life Research.
[79] Charles G. Martin,et al. Influence of data display formats on physician investigators' decisions to stop clinical trials: prospective trial with repeated measures , 1999, BMJ.
[80] Taya Irizarry,et al. Patient Portals and Patient Engagement: A State of the Science Review , 2015, Journal of medical Internet research.
[81] Erika A. Waters,et al. Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change , 2019, Medical decision making : an international journal of the Society for Medical Decision Making.
[82] Bryant T Karras,et al. Enhancing patient-provider communication with the electronic self-report assessment for cancer: a randomized trial. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[83] R. Duit. On the role of analogies and metaphors in learning science. , 1991 .
[84] Ethan Basch,et al. Electronic patient‐reported outcome systems in oncology clinical practice , 2012, CA: a cancer journal for clinicians.
[85] J. Cummings,et al. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment , 2005, Journal of the American Geriatrics Society.
[86] B. Lapin,et al. Clinical Utility of Patient-Reported Outcome Measurement Information System Domain Scales: Thresholds for Determining Important Change After Stroke , 2019, Circulation. Cardiovascular quality and outcomes.
[87] Laura D. Scherer,et al. Blocks, Ovals, or People? Icon Type Affects Risk Perceptions and Recall of Pictographs , 2014, Medical decision making : an international journal of the Society for Medical Decision Making.
[88] R. McKelvie,et al. Cognitive function and self-care management in older patients with heart failure , 2014, European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology.
[89] N. Aaronson,et al. Health-related quality-of-life assessments and patient-physician communication: a randomized controlled trial. , 2002, JAMA.
[90] David W. Bates,et al. Accelerating Innovation in Health IT. , 2016, The New England journal of medicine.
[91] Wändi Bruine de Bruin,et al. Designing Graphs to Communicate Risks: Understanding How the Choice of Graphical Format Influences Decision Making , 2017, Risk analysis : an official publication of the Society for Risk Analysis.