Presentation of laboratory test results in patient portals: influence of interface design on risk interpretation and visual search behaviour

被引:23
作者
Fraccaro, Paolo [1 ,2 ,3 ]
Vigo, Markel [5 ]
Balatsoukas, Panagiotis [7 ]
van der Veer, Sabine N. [2 ,3 ]
Hassan, Lamiece [2 ,3 ]
Williams, Richard [1 ,2 ,3 ]
Wood, Grahame [4 ]
Sinha, Smeeta [4 ]
Buchan, Iain [6 ]
Peek, Niels [1 ,2 ,3 ]
机构
[1] Univ Manchester, NIHR Greater Manchester Primary Care Patient Safe, Manchester, Lancs, England
[2] Farr Inst Hlth Informat Res, Hlth eRes Ctr, London, England
[3] Univ Manchester, Ctr Hlth Informat, Div Informat Imaging & Data Sci, Manchester, Lancs, England
[4] Salford Royal NHS Trust, Renal Clin, Salford, Lancs, England
[5] Univ Manchester, Sch Comp Sci, Manchester, Lancs, England
[6] Microsoft Res, Microsoft Healthcare, Cambridge, England
[7] City Univ London, Ctr Hlth Informat, London, England
基金
英国工程与自然科学研究理事会;
关键词
User-computer interface [MeSH; Computers/utilization [MeSH; Decision making [MeSH; Personal health record [MeSH; Patient access to records [MeSH; Patient portals; Decision support systems clinical [MeSH; Personal health records; Patients access to records; Laboratory test results; Computer utilization; Eye tracking; ELECTRONIC MEDICAL-RECORDS; PATIENTS ACCESS; HEALTH; COMMUNICATION; OVERVIEWS; LITERACY; NUMERACY; OUTCOMES; GRAPHS;
D O I
10.1186/s12911-018-0589-7
中图分类号
R-058 [];
学科分类号
摘要
Background: Patient portals are considered valuable instruments for self-management of long term conditions, however, there are concerns over how patients might interpret and act on the clinical information they access. We hypothesized that visual cues improve patients' abilities to correctly interpret laboratory test results presented through patient portals. We also assessed, by applying eye-tracking methods, the relationship between risk interpretation and visual search behaviour. Methods: We conducted a controlled study with 20 kidney transplant patients. Participants viewed three different graphical presentations in each of low, medium, and high risk clinical scenarios composed of results for 28 laboratory tests. After viewing each clinical scenario, patients were asked how they would have acted in real life if the results were their own, as a proxy of their risk interpretation. They could choose between: 1) Calling their doctor immediately (high interpreted risk); 2) Trying to arrange an appointment within the next 4 weeks (medium interpreted risk); 3) Waiting for the next appointment in 3 months (low interpreted risk). For each presentation, we assessed accuracy of patients' risk interpretation, and employed eye tracking to assess and compare visual search behaviour. Results: Misinterpretation of risk was common, with 65% of participants underestimating the need for action across all presentations at least once. Participants found it particularly difficult to interpret medium risk clinical scenarios. Participants who consistently understood when action was needed showed a higher visual search efficiency, suggesting a better strategy to cope with information overload that helped them to focus on the laboratory tests most relevant to their condition. Conclusions: This study confirms patients' difficulties in interpreting laboratories test results, with many patients underestimating the need for action, even when abnormal values were highlighted or grouped together. Our findings raise patient safety concerns and may limit the potential of patient portals to actively involve patients in their own healthcare.
引用
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页数:12
相关论文
共 54 条
[1]   A Comparison Of How Four Countries Use Health IT To Support Care For People With Chronic Conditions [J].
Adler-Milstein, Julia ;
Sarma, Nandini ;
Woskie, Liana R. ;
Jha, Ashish K. .
HEALTH AFFAIRS, 2014, 33 (09) :1559-1566
[2]   Communicating risk [J].
Ahmed, Haroon ;
Naik, Gurudutt ;
Willoughby, Hannah ;
Edwards, Adrian G. K. .
BMJ-BRITISH MEDICAL JOURNAL, 2012, 344
[3]  
Andry F, 2009, HEALTHINF 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS, P111
[4]  
[Anonymous], 2011, R: A Language and Environment for Statistical Computing
[5]  
[Anonymous], 2007, HCI
[6]  
Bai X, 2008, COGNITIVE CULTURAL I
[7]   Patient access to complex chronic disease records on the Internet [J].
Bartlett, Cherry ;
Simpson, Keith ;
Turner, A. Neil .
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2012, 12
[8]   Barriers to self-management and quality-of-life outcomes in seniors with multimorbidities [J].
Bayliss, Elizabeth A. ;
Ellis, Jennifer L. ;
Steiner, John F. .
ANNALS OF FAMILY MEDICINE, 2007, 5 (05) :395-402
[9]   How patients use access to their electronic GP record-a quantitative study [J].
Bhavnani, Vanita ;
Fisher, Brian ;
Winfield, Marlene ;
Seed, Paul .
FAMILY PRACTICE, 2011, 28 (02) :188-194
[10]   Tables or Bar Graphs? Presenting Test Results in Electronic Medical Records [J].
Brewer, Noel T. ;
Gilkey, Melissa B. ;
Lillie, Sarah E. ;
Hesse, Bradford W. ;
Sheridan, Stacey L. .
MEDICAL DECISION MAKING, 2012, 32 (04) :545-553