呈现方式和性别对老年用户使用和理解健康信息的影响
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摘要
目的研究呈现方式和性别对老年用户使用和理解健康信息的影响。方法本研究结合人因实验和分析,采用针对4种健康信息呈现方式的组内组间实验设计,对不同性别的老年用户使用和理解健康信息及其眼动行为进行实验测试。被试为36位老年用户,数据通过重复测量的方差分析处理。结果健康信息呈现方式对认知绩效和眼动指标无显著影响,而对感知风险、主观认知理解、情感及偏好有显著影响。老年用户偏好于个性化的健康信息呈现方式,实验结果并无性别差异。结论健康信息的呈现方式会影响老年用户的对健康信息的主观认知理解,研究结果可用于健康信息技术中健康信息呈现界面的设计。
Objective To examine the effect of presentation formats and gender on performance and comprehension of health information for older adults.Methods A mixed design human factors experiment was conducted,with presentation format as within variable and gender as between variable.Measures for participants' performance,comprehension and eye movement were recorded.Thirty six older adults participated in this study.Repeated measures analysis of variance were used for data analysis.Results The results showed that presentation formats had no significant effects on performance and eye movement measures.However,presentation formats had significant effects on perceiving risks,subjective perceptions,emotion and preference.Older adults preferred personalized presentation format that contained more information cues.No gender differences were observed for any of the measures.Conclusion The presentation formats of health information affect subjective perceptions of health information by older adults.The findings provide important implications for the interface design of health information in varied health information technologies.
Objective To examine the effect of presentation formats and gender on performance and comprehension of health information for older adults.Methods A mixed design human factors experiment was conducted,with presentation format as within variable and gender as between variable.Measures for participants' performance,comprehension and eye movement were recorded.Thirty six older adults participated in this study.Repeated measures analysis of variance were used for data analysis.Results The results showed that presentation formats had no significant effects on performance and eye movement measures.However,presentation formats had significant effects on perceiving risks,subjective perceptions,emotion and preference.Older adults preferred personalized presentation format that contained more information cues.No gender differences were observed for any of the measures.Conclusion The presentation formats of health information affect subjective perceptions of health information by older adults.The findings provide important implications for the interface design of health information in varied health information technologies.
引文
[1] Vos T,Barber RM,Bell B,et al.Global,Regional,and National Incidence,Prevalence,and Years Lived with Disability for 301 Acute and Chronic Diseases and Injuries in 188 Countries,1990-2013:A Systematic Analysis for the Global Burden of Disease Study 2013[J].Lancet,2015,386(9995):743-800.
[2] Beard JR,Bloom DE.Towards A Comprehensive Public Health Response to Population Ageing[J].Lancet,2015,385(9968):658-61.
[3] 中华人民共和国国家卫生和计划生育委员会.中国居民营养与慢性病现状报告[R].2015.http://www.nhfpc.gov.cn/jkj/s5879/201506/4505528e65 f3460fb88685081ff158a2.shtml.Accessed December 1,2017.
[4] 中华人民共和国国务院.国家人口发展规划 (2016-2030年)[R].2017.http://www.gov.cn/zhengce/content/2017-01/25/content_5163309.htm.Accessed December 1,2017.
[5] Or CKL,Tao D.Does the Use of Consumer Health Information Technology Improve Outcomes in the Patient Self-management of Diabetes A Meta-analysis and Narrative Review of Randomized Controlled Trials[J].International Journal of Medical Informatics,2014,83(5):320-9.
[6] Stellefson M,Chaney B,Barry AE,et al.Web 2.0 Chronic Disease Self-management for Older Adults:A Systematic Review[J].Journal of Medical Internet Research,2013,15(2):35.
[7] Or CKL,Tao D,Wang H.The Effectiveness of the Use of Consumer Health Information Technology in Patients with Heart Failure:A Meta-analysis and Narrative Review of Randomized Controlled trials[J].Journal of Telemedicine and Telecare,2017,23(1):155-66.
[8] Tao D,Wang T,Wang T,et al.Effects of Consumer-oriented Health Information Technologies in Diabetes Management over Time:A Systematic Review and Meta-analysis of Randomized Controlled Trials[J].Journal of the American Medical Informatics Association,2017,24(5):1014-1023.
[9] 唐凤,方向明.国外消费者健康信息学研究综述[J].图书情报工作,2018,62(2):144-152.
[10] Brewer NT,Gilkey MB,Lillie SE,et al.Tables or Bar Graphs Presenting Test Results in Electronic Medical Records[J].Medical Decision Making,2012,32(4):545-553.
[11] Torsvik T,Lillebo B,Mikkelsen G.Presentation of Clinical Laboratory Results:An Experimental Comparison of Four Visualization Techniques[J].Journal of the American Medical Informatics Association,2013,20(2):325-331.
[12] Zikmund-Fisher BJ,Scherer AM,Witteman HO,et al.Graphics Help Patients Distinguish between Urgent and Non-urgent Deviations in Laboratory Test Results[J].Journal of the American Medical Informatics Association,2017,24(3):520-528.
[13] Or CKL,Tao D.Usability Study of A Computer-based Self-management System for Older Adults with Chronic Diseases[J].Journat of Medical Internet Research Protocols,2012,1(2):13.
[14] Middleton B,Bloomrosen M,Dente MA,et al.Enhancing Patient Safety and Quality of Care by Improving the Usability of Electronic Health Record Systems:Recommendations from AMIA[J].Journal of the American Medical Informatics Association,2013,20(1):2-8.
[15] Serper M,Patzer RE,Curtis LM,et al.Health literacy,Cognitive Ability,and Functional Health Status among Older Adults[J].Health Services Research,2014,49(4):1249-1267.
[16] Smith SG,Curtis LM,O'Conor R,The Independent Contributions of Literacy and Numeracy Skills on Health Task Performance among Older Adults[J].Patient Education and Counseling,2015,98(8):991-997.
[17] Zikmund-Fisher BJ,Exe NL,Witteman HO.Numeracy and Literacy Independently Predict Patients' Ability to Identify Out-of-range Test Results[J].Journal of Medical Internet Research,2014,16(8):187.
[18] Chin J,Madison A,Gao X,Graumlich JF,et al.Cognition and Health Literacy in Olderadults’ Recall of Self-care Information[J].Gerontologist,2017,57(2):8-261.
[19] Zhang J,Norman DA.Representations in Distributed Cognitive Tasks[J].Cognitive Science,1994,18(1):87-122.
[20] Arcia A,Suero-Tejeda N,Bales ME,et al.Sometimes More Is More:Iterative Participatory Design of Infographics for Engagement of Community Members with Varying Levels of Health Literacy[J].Journal of the American Medical Informatics Association,2016,23(1):83-174.
[21] Damman OC,Hendriks M,Rademakers J.Consumers' interpretation and Use of Comparative Information on the Quality of Health Care:the Effect of Presentation Approaches[J].Health Expect,2012,15(2):197-211.
[22] Okan Y,Stone ER,Bruine de Bruin W.Designing Graphs that Promote Both Risk Understanding and Behavior Change.[J].Risk Analysis,2018,38(5):929-946.
[23] Elwyn G,O'Connor A,Stacey D,et al.Developing A Quality Criteria Framework for Patient Decision Aids:Online International Delphi Consensus Process[J].British Medical Journal,2006,333(7565):417.
[24] Antunez L,Gimenez A,Maiche A.Influence of Interpretation Aids on Attentional Capture,Visual Processing,and Understanding of Front-ofpackage Nutrition Labels[J].Journal of Nutrition Education and Behavior,2015,47(4):289-292.
[25] Tzafilkou K,Protogeros N.Diagnosing User Perception and Acceptance Using Eye Tracking in Web-based end-user Development[J].Computers in Human Behavior,2017,72(3):23-37.
[26] Okan Y,Galesic M,Garcia-Retamero R.How People with Low and High Graph Literacy Process Health Graphs:Evidence from Eye-tracking[J].Journal of Behavioral Decision Making,2016,29(2):94-271.
[27] Tao D,Wang T,Wang T,et al.Influence of Drug Colour on Perceived Drug Effects and Efficacy[J].Ergonomics,2018,61(2):94-284.
[28] Bekker HL,Winterbottom AE,Butow P,et al.Do Personal Stories Make Patient Decision Aids More Effective A Critical Review of Theory and Evidence[J].Bmc Medical Informatics and Decision Making,2013,13(12):9.
[2] Beard JR,Bloom DE.Towards A Comprehensive Public Health Response to Population Ageing[J].Lancet,2015,385(9968):658-61.
[3] 中华人民共和国国家卫生和计划生育委员会.中国居民营养与慢性病现状报告[R].2015.http://www.nhfpc.gov.cn/jkj/s5879/201506/4505528e65 f3460fb88685081ff158a2.shtml.Accessed December 1,2017.
[4] 中华人民共和国国务院.国家人口发展规划 (2016-2030年)[R].2017.http://www.gov.cn/zhengce/content/2017-01/25/content_5163309.htm.Accessed December 1,2017.
[5] Or CKL,Tao D.Does the Use of Consumer Health Information Technology Improve Outcomes in the Patient Self-management of Diabetes A Meta-analysis and Narrative Review of Randomized Controlled Trials[J].International Journal of Medical Informatics,2014,83(5):320-9.
[6] Stellefson M,Chaney B,Barry AE,et al.Web 2.0 Chronic Disease Self-management for Older Adults:A Systematic Review[J].Journal of Medical Internet Research,2013,15(2):35.
[7] Or CKL,Tao D,Wang H.The Effectiveness of the Use of Consumer Health Information Technology in Patients with Heart Failure:A Meta-analysis and Narrative Review of Randomized Controlled trials[J].Journal of Telemedicine and Telecare,2017,23(1):155-66.
[8] Tao D,Wang T,Wang T,et al.Effects of Consumer-oriented Health Information Technologies in Diabetes Management over Time:A Systematic Review and Meta-analysis of Randomized Controlled Trials[J].Journal of the American Medical Informatics Association,2017,24(5):1014-1023.
[9] 唐凤,方向明.国外消费者健康信息学研究综述[J].图书情报工作,2018,62(2):144-152.
[10] Brewer NT,Gilkey MB,Lillie SE,et al.Tables or Bar Graphs Presenting Test Results in Electronic Medical Records[J].Medical Decision Making,2012,32(4):545-553.
[11] Torsvik T,Lillebo B,Mikkelsen G.Presentation of Clinical Laboratory Results:An Experimental Comparison of Four Visualization Techniques[J].Journal of the American Medical Informatics Association,2013,20(2):325-331.
[12] Zikmund-Fisher BJ,Scherer AM,Witteman HO,et al.Graphics Help Patients Distinguish between Urgent and Non-urgent Deviations in Laboratory Test Results[J].Journal of the American Medical Informatics Association,2017,24(3):520-528.
[13] Or CKL,Tao D.Usability Study of A Computer-based Self-management System for Older Adults with Chronic Diseases[J].Journat of Medical Internet Research Protocols,2012,1(2):13.
[14] Middleton B,Bloomrosen M,Dente MA,et al.Enhancing Patient Safety and Quality of Care by Improving the Usability of Electronic Health Record Systems:Recommendations from AMIA[J].Journal of the American Medical Informatics Association,2013,20(1):2-8.
[15] Serper M,Patzer RE,Curtis LM,et al.Health literacy,Cognitive Ability,and Functional Health Status among Older Adults[J].Health Services Research,2014,49(4):1249-1267.
[16] Smith SG,Curtis LM,O'Conor R,The Independent Contributions of Literacy and Numeracy Skills on Health Task Performance among Older Adults[J].Patient Education and Counseling,2015,98(8):991-997.
[17] Zikmund-Fisher BJ,Exe NL,Witteman HO.Numeracy and Literacy Independently Predict Patients' Ability to Identify Out-of-range Test Results[J].Journal of Medical Internet Research,2014,16(8):187.
[18] Chin J,Madison A,Gao X,Graumlich JF,et al.Cognition and Health Literacy in Olderadults’ Recall of Self-care Information[J].Gerontologist,2017,57(2):8-261.
[19] Zhang J,Norman DA.Representations in Distributed Cognitive Tasks[J].Cognitive Science,1994,18(1):87-122.
[20] Arcia A,Suero-Tejeda N,Bales ME,et al.Sometimes More Is More:Iterative Participatory Design of Infographics for Engagement of Community Members with Varying Levels of Health Literacy[J].Journal of the American Medical Informatics Association,2016,23(1):83-174.
[21] Damman OC,Hendriks M,Rademakers J.Consumers' interpretation and Use of Comparative Information on the Quality of Health Care:the Effect of Presentation Approaches[J].Health Expect,2012,15(2):197-211.
[22] Okan Y,Stone ER,Bruine de Bruin W.Designing Graphs that Promote Both Risk Understanding and Behavior Change.[J].Risk Analysis,2018,38(5):929-946.
[23] Elwyn G,O'Connor A,Stacey D,et al.Developing A Quality Criteria Framework for Patient Decision Aids:Online International Delphi Consensus Process[J].British Medical Journal,2006,333(7565):417.
[24] Antunez L,Gimenez A,Maiche A.Influence of Interpretation Aids on Attentional Capture,Visual Processing,and Understanding of Front-ofpackage Nutrition Labels[J].Journal of Nutrition Education and Behavior,2015,47(4):289-292.
[25] Tzafilkou K,Protogeros N.Diagnosing User Perception and Acceptance Using Eye Tracking in Web-based end-user Development[J].Computers in Human Behavior,2017,72(3):23-37.
[26] Okan Y,Galesic M,Garcia-Retamero R.How People with Low and High Graph Literacy Process Health Graphs:Evidence from Eye-tracking[J].Journal of Behavioral Decision Making,2016,29(2):94-271.
[27] Tao D,Wang T,Wang T,et al.Influence of Drug Colour on Perceived Drug Effects and Efficacy[J].Ergonomics,2018,61(2):94-284.
[28] Bekker HL,Winterbottom AE,Butow P,et al.Do Personal Stories Make Patient Decision Aids More Effective A Critical Review of Theory and Evidence[J].Bmc Medical Informatics and Decision Making,2013,13(12):9.