Published on 16.01.14 in Vol 16, No 1 (2014): January
Works citing "Older Adult Experience of Online Diagnosis: Results From a Scenario-Based Think-Aloud Protocol"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2924):
(note that this is only a small subset of citations)
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Millenson ML, Baldwin JL, Zipperer L, Singh H. Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis. Diagnosis 2018;5(3):95
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Moylett S, Hevey D. Examining the Extended Parallel Process Model for communicating about cardiovascular disease to an at-risk population utilising a think aloud methodology. HRB Open Research 2019;2:12
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Meyer AND, Giardina TD, Spitzmueller C, Shahid U, Scott TMT, Singh H. Patient Perspectives on the Usefulness of an Artificial Intelligence–Assisted Symptom Checker: Cross-Sectional Survey Study. Journal of Medical Internet Research 2020;22(1):e14679
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Papachristou I, Hickeys G, Iliffe S. Involving Caregivers of People With Dementia to Validate Booklets on Food-Related Activities: A Qualitative Think-Aloud Study. Journal of Applied Gerontology 2018;37(5):644
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Chambers D, Cantrell A, Johnson M, Preston L, Baxter SK, Booth A, Turner J. Digital and online symptom checkers and assessment services for urgent care to inform a new digital platform: a systematic review. Health Services and Delivery Research 2019;7(29):1
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Jokić-Begić N, Mikac U, Čuržik D, Sangster Jokić C. The Development and Validation of the Short Cyberchondria Scale (SCS). Journal of Psychopathology and Behavioral Assessment 2019;41(4):662
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Marco-Ruiz L, Bønes E, de la Asunción E, Gabarron E, Aviles-Solis JC, Lee E, Traver V, Sato K, Bellika JG. Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers. Journal of Biomedical Informatics 2017;74:104
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Kwakernaak J, Eekhof JAH, De Waal MWM, Barenbrug EAM, Chavannes NH. Patients’ Use of the Internet to Find Reliable Medical Information About Minor Ailments: Vignette-Based Experimental Study. Journal of Medical Internet Research 2019;21(11):e12278
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Wynn R, Oyeyemi SO, Budrionis A, Marco-Ruiz L, Yigzaw KY, Bellika JG. Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study. JMIR Medical Informatics 2020;8(3):e13106
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Fanning J, Brooks AK, Ip E, Nicklas BJ, Rejeski WJ. A Mobile Health Intervention to Reduce Pain and Improve Health (MORPH) in Older Adults With Obesity: Protocol for the MORPH Trial. JMIR Research Protocols 2018;7(5):e128
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Medlock S, Eslami S, Askari M, Arts DL, Sent D, de Rooij SE, Abu-Hanna A. Health Information–Seeking Behavior of Seniors Who Use the Internet: A Survey. Journal of Medical Internet Research 2015;17(1):e10
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Marcu A, Muller C, Ream E, Whitaker KL. Online Information-Seeking About Potential Breast Cancer Symptoms: Capturing Online Behavior With an Internet Browsing Tracking Tool. Journal of Medical Internet Research 2019;21(2):e12400
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Moylett S, Hevey D. Testing threat-to-efficacy ratios in health communications about cardiovascular disease among an older population. Health Promotion International 2020;35(2):255
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Antoniades A, Nicolaidou I, Spachos D, Mylläri J, Giordano D, Dafli E, Mitsopoulou E, Schizas CN, Pattichis C, Nikolaidou M, Bamidis P. Medical Content Searching, Retrieving, and Sharing Over the Internet: Lessons Learned From the mEducator Through a Scenario-Based Evaluation. Journal of Medical Internet Research 2015;17(10):e229
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Powley L, McIlroy G, Simons G, Raza K. Are online symptoms checkers useful for patients with inflammatory arthritis?. BMC Musculoskeletal Disorders 2016;17(1)
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Schnall R, Liu J, Iribarren S. Information sources of self-care strategies for persons living with HIV. International Journal of Medical Informatics 2018;111:1
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. Patient Perspectives on Online Health Information and Communication With Doctors: A Qualitative Study of Patients 50 Years Old and Over. Journal of Medical Internet Research 2015;17(1):e19
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Mueller J, Jay C, Harper S, Davies A, Vega J, Todd C. Web Use for Symptom Appraisal of Physical Health Conditions: A Systematic Review. Journal of Medical Internet Research 2017;19(6):e202
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Aboueid S, Liu RH, Desta BN, Chaurasia A, Ebrahim S. The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review. JMIR Medical Informatics 2019;7(2):e13445
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Yoshida Y, Thomas Clark G. Accuracy of online symptom checkers for diagnosis of orofacial pain and oral medicine disease. Journal of Prosthodontic Research 2021;65(2):186
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Fanning J, Opina M, Leng I, Lyles M, Nicklas B, Rejeski W. Empowered with Movement to Prevent Obesity & Weight Regain (EMPOWER): Design and methods. Contemporary Clinical Trials 2018;72:35
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Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick CM, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455
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Brooks AK, Miller Jr DP, Fanning JT, Suftin EL, Reid MC, Wells BJ, Leng X, Hurley RW. A Pain eHealth Platform for Engaging Obese, Older Adults with Chronic Low Back Pain in Nonpharmacological Pain Treatments: Protocol for a Pilot Feasibility Study. JMIR Research Protocols 2020;9(1):e14525
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Pelle T, Bevers K, van der Palen J, van den Hoogen FHJ, van den Ende CHM. Development and evaluation of a tailored e-self-management intervention (dr. Bart app) for knee and/or hip osteoarthritis: study protocol. BMC Musculoskeletal Disorders 2019;20(1)
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Fanning J, Brooks AK, Ip E, Nicklas BJ, Rejeski WJ, Nesbit B, Ford S. A Mobile Health Behavior Intervention to Reduce Pain and Improve Health in Older Adults With Obesity and Chronic Pain: The MORPH Pilot Trial. Frontiers in Digital Health 2020;2
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Aboueid S, Meyer SB, Wallace JR, Mahajan S, Nur T, Chaurasia A. Use of symptom checkers for COVID-19-related symptoms among university students: a qualitative study. BMJ Innovations 2021;7(2):253
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Vergouw JW, Smits-Pelser H, Kars MC, van Houwelingen T, van Os-Medendorp H, Kort H, Bleijenberg N. Needs, barriers and facilitators of older adults towards eHealth in general practice: a qualitative study. Primary Health Care Research & Development 2020;21
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Aboueid S, Meyer S, Wallace JR, Mahajan S, Chaurasia A. Young Adults’ Perspectives on the Use of Symptom Checkers for Self-Triage and Self-Diagnosis: Qualitative Study. JMIR Public Health and Surveillance 2021;7(1):e22637
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Munsch N, Martin A, Gruarin S, Nateqi J, Abdarahmane I, Weingartner-Ortner R, Knapp B. Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study. Journal of Medical Internet Research 2020;22(10):e21299
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Levine DM, Mehrotra A. Assessment of Diagnosis and Triage in Validated Case Vignettes Among Nonphysicians Before and After Internet Search. JAMA Network Open 2021;4(3):e213287
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Pourrazavi S, Kouzekanani K, Asghari Jafarabadi M, Bazargan-Hejazi S, Hashemiparast M, Allahverdipour H. Correlates of Older Adults’ E-Health Information-Seeking Behaviors. Gerontology 2022;68(8):935
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Wetzel A, Koch R, Preiser C, Müller R, Klemmt M, Ranisch R, Ehni H, Wiesing U, Rieger MA, Henking T, Joos S. Ethical, Legal, and Social Implications of Symptom Checker Apps in Primary Health Care (CHECK.APP): Protocol for an Interdisciplinary Mixed Methods Study. JMIR Research Protocols 2022;11(5):e34026
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Müller R, Klemmt M, Ehni H, Henking T, Kuhnmünch A, Preiser C, Koch R, Ranisch R. Ethical, legal, and social aspects of symptom checker applications: a scoping review. Medicine, Health Care and Philosophy 2022;25(4):737
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Pourrazavi S, Hashemiparast M, Bazargan-Hejazi S, Ullah S, Allahverdipour H. Why Older People Seek Health Information Online: A Qualitative Study. Advances in Gerontology 2021;11(3):290
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Nguyen H, Meczner A, Burslam-Dawe K, Hayhoe B. Triage Errors in Primary and Pre–Primary Care. Journal of Medical Internet Research 2022;24(6):e37209
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Hamid MS, Abo Hamza EG, Mohamed NIA. The Psychometric Properties of the Addiction to Medical Website Scale (AMWS). Arab Gulf Journal of Scientific Research 2021;:1
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Woodcock C, Mittelstadt B, Busbridge D, Blank G. The Impact of Explanations on Layperson Trust in Artificial Intelligence–Driven Symptom Checker Apps: Experimental Study. Journal of Medical Internet Research 2021;23(11):e29386
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Deng X, Shan W, Zhou Y, Bakhshi T. Evaluation of Influencing Factors of Security Information Behavior of Online Medical Consultation Users. Security and Communication Networks 2023;2023:1
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Meer EA, Herriman M, Lam D, Parambath A, Rosin R, Volpp KG, Chaiyachati KH, McGreevey JD. Design, Implementation, and Validation of an Automated, Algorithmic COVID-19 Triage Tool. Applied Clinical Informatics 2021;12(05):1021
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Wiedermann CJ, Mahlknecht A, Piccoliori G, Engl A. Redesigning Primary Care: The Emergence of Artificial-Intelligence-Driven Symptom Diagnostic Tools. Journal of Personalized Medicine 2023;13(9):1379
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Turnbull J, MacLellan J, Churruca K, Ellis LA, Prichard J, Browne D, Braithwaite J, Petter E, Chisambi M, Pope C. A multimethod study of NHS 111 online. Health and Social Care Delivery Research 2023;:1
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Aydın Kartal Y, Kaya L, Özcan H. Investigation of the relationship between depression, cyberchondria levels and the quality of life of female students during the COVID-19 pandemic. Women & Health 2023;63(8):669
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Müller R, Klemmt M, Koch R, Ehni H, Henking T, Langmann E, Wiesing U, Ranisch R. “That’s just Future Medicine” - a qualitative study on users’ experiences of symptom checker apps. BMC Medical Ethics 2024;25(1)
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Hammoud M, Douglas S, Darmach M, Alawneh S, Sanyal S, Kanbour Y. Evaluating the Accuracies of A Few Symptom Checkers: A Clinical Vignette Study (Preprint). JMIR AI 2023;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2924):
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Sujan Samuel Roy J, Neumann WP, Fels DI. Human Interface and the Management of Information: Information, Design and Interaction. 2016. Chapter 44:462
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