Ryen W. White PhD and Eric Horvitz MD, PhD Microsoft Research {ryenw,

Slides:



Advertisements
Similar presentations
Nursing Diagnosis: Definition
Advertisements

Beliefs & Biases in Web Search
“Do users do what they think they do?” – a comparative study of user perceived and actual information searching behaviour in the National electronic Library.
Needs assessment of cancer survivors O Santin, L Murray, A Gavin and M Donnelly Cancer health services research and survivorship studies programme Centre.
DRAFT Promotional Copy for NNSDO 1 Cognitive / Mental Status Assessment of Older Adults.
NAKAYAMA, Kazuhiro a, NISHIO, Arisa b, YOKOYAMA, Yukari c, SETOYAMA, Yoko a, TOGARI, Taisuke d and YONEKURA, Yuki c a St. Luke's college of Nursing, Nursing.
Beliefs & Biases in Web Search Ryen White Microsoft Research
Medically-Unexplained Symptoms in CSA Survivors Dr Sarah Nelson Dr Julie Taylor Prof Norma Baldwin University of Dundee.
Studies of the Onset & Persistence of Medical Concerns in Search Logs Ryen White and Eric Horvitz Microsoft Research, Redmond
 More than 2 million men and women have been deployed to Afghanistan and Iraq for Operations Enduring Freedom/Iraqi Freedom (OEF/OIF).  ~21% of men and.
1 Teaching Cultural Competency: A Review of the Literature Sunita Mutha MD 1,2, Carol Allen MA 1, Cynthia Salinas MD 3, Arnab Mukherjea MPH 4 1 The Network.
Center for Education and Research in Information Assurance and Security Second Annual Research Symposium April 2002 The Changing.
Chapter 13: Descriptive and Exploratory Research
Genetic Factors Predisposing to Homosexuality May Increase Mating Success in Heterosexuals Written by Zietsch et. al By Michael Berman and Lindsay Tooley.
Quick question: What do illness representations consist of?
Concussion What do parents know? Dr. Kirstin Weerdenburg, MD FRCPC Associate Staff Physician Pediatric Emergency Medicine The Hospital for Sick Children,
PRESENTED BY: AFCC HEALTH MINISTRY.  Question:  The last time you had a serious health concern who did you turn to?
® Introduction Mental Health Predictors of Pain and Function in Patients with Chronic Low Back Pain Olivia D. Lara, K. Ashok Kumar MD FRCS Sandra Burge,
Help! I’m On James A Colbert MD Newton-Wellesley Hospital Brigham & Women’s Hospital Bradley H Crotty MD MPH FACP Beth Israel Deaconess Medical Center.
AXA Equitable Protection Report Key Findings of AXA’s Global Life Insurance Needs and Realities Survey December 2007 About the study More than 4,000 people.
Differences in Patterns of Impairment, Psychiatric Comorbidity and Headache Beliefs in Migraine and Chronic Tension-type Headache Kathleen M. Romanek M.S.,
CHAPTER 11 Episodes, Contexts, and Intercultural Interactions
EPISODES, CONTEXTS, AND INTERCULTURAL INTERACTIONS
Improving mental wellbeing in the HIV Community: State of Mind & I Am More Than One Thing Silvia Petretti, Deputy CEO, Positively UK UKCAB 4 July 2014.
Somatoform Disorder Presented by Cynthia Nguyen and Christian Gonzalez.
Engaging Stakeholders in the Effective Health Care Program Information and tools for researchers and investigators.
Canadian Hospice Palliative Care Association The Way Forward Initiative - Topline Results (National vs. Ontario) February 7, 2014.
Patient empowerment and the use of Internet Steinar Pedersen.
Explanation and planning. What are the objectives of explanation and planning?
EPE C for VE T E R A N S EPE C for VE T E R A N S Education in Palliative and End-of-life Care for Veterans is a collaborative effort between the Department.
Diabetes Connected Health: A Pilot Study of a Patient- and Provider-Shared Glucose Monitoring Web Application Journal of Diabetes Science and Technology.
1 Can People Collaborate to Improve the relevance of Search Results? Florian Eiteljörge June 11, 2013Florian Eiteljörge.
Asthma Patients and the Patient-Practitioner Relationship: A Qualitative Study of Continuity of Care Margaret M. Love, PhD Family Practice and Community.
 Soma = Body  Preoccupation with health or appearance  Physical complaints  No identifiable medical condition.
Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution without the prior written consent of McGraw-Hill Education.
Hao Wu Nov Outline Introduction Related Work Experiment Methods Results Conclusions & Next Steps.
Bertram Group Consulting Overview of a Qualitative Research Study Consumer Satisfaction 2006.
Implicit Acquisition of Context for Personalization of Information Retrieval Systems Chang Liu, Nicholas J. Belkin School of Communication and Information.
Diagnoses, Decisions, and Outcomes: Web Search as Decision Support for Cancer Michael J. Paul, Johns Hopkins University Ryen W. White and Eric Horvitz,
1 On Track Advanced Topics Getting the Most Out of Your Outcomes Data Eric Hamilton, M.S. Vice President of Clinical Informatics, ValueOptions Jeb Brown,
Development of a Self-Assessment Method for Patients to Evaluate Internet-based Health Information.
© 2012 McGraw-Hill Companies, Inc. All rights reserved.McGraw-Hill/Irwin© 2012 McGraw-Hill Companies, Inc. All rights reserved. Health Psychology 8 th.
Ryen W. White, Dan Morris Microsoft Research, Redmond, USA {ryenw,
Perceptions of Specific Clinician Behaviors Linked to Health Care Quality Karen Shore, PhD Roger Levine, PhD Julia Mitchell, MS Margarita Hurtado, PhD.
1 Findings from Recent Consumer and Health-Care Provider Surveys Adelphi Research by Design supported by sanofi pasteur David R. Johnson, MD, MPHNVAC Meeting.
The Nursing Process ASSESSMENT. Nursing Process Dynamic, ongoing Facilitates delivery of organized plan of nursing care Involves 5 parts –Assessment –Diagnosis.
Qi Guo Emory University Ryen White, Susan Dumais, Jue Wang, Blake Anderson Microsoft Presented by Tetsuya Sakai, Microsoft Research.
The Consequences of Seniors Seeking Health Information Using the Internet and Other Sources Stephanie Medlock, MSc, DVM Saeid Eslami, PharmD, PhD Marjan.
Michal Fedeles, PhD Director, Continuing Health Education, Adjunct Professor, Faculty of Health Sciences Simon Fraser University Céline Cressman, MSc Collaborator,
Janis L. Whitlock Cornell University.   Previous research show that human beings develop in multiple social ecologies but school connectedness and the.
VERBAL COMMUNICATION II Health Science. COMMUNICATION.
Behavioral Science HEALTH BELIEF MODEL (HBM) Dr. G.U Ahsan, Ph.D.
Copyright © 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins Chapter 18 Systematic Review and Meta-Analysis.
Part C: Section C.3 1 Part C: Managing Emotions After Difficult Patient Care Experiences Integrating a Difficult Patient Care Experience.
Group members Gurpreet kaur Amritpal kaur Arshdeep singh uppal Sandeep kaur bhullar.
TOMS/NOMS FY12- FY14 Adult Survey Analysis: Does treatment lead to changes over time? 2/16/2016 Prepared by: Abigail Howard, Ph.D.
Continuing Education Provincial Survey Winter 2012 Connie Phelps Manager, Institutional Research & Planning.
Conversation Stopper: What’s Preventing Physicians from Talking With Their Patients About End-of-Life and Advance Care Planning Media Webinar – April 14,
An insight into the NHS Health Check Programme in Birmingham NHS Health Check National Learning Network 14 th Workshop - London 17 th July 2012.
Millennials in IT show aggressive approach to career path in contrast to other generations December 10, 2013 Millennials in IT show aggressive approach.
Getting Ill and Seeking Medical Treatment. Perceiving and Interpreting Symptoms Generally we’re not very accurate at it Complicated by a number of influences.
[Name of Presenter] [Details of patient e.g. initials, hospital number etc.] [Date of meeting]
Figure not at all somewhat mostly extremely Using the above scale, please rate your physician on the following characteristics assuming that.
Patients’ workplace factors and their impact on
Believed discrimination occurred because of their:
Phyllis Zelkowitz 1,2,3, Stephanie Robins 2, Paul Grunberg 1,2
Cultural Diversity in Health Care
Improved Analytics for P4P
Beliefs and Biases in Web Search
Patient-reported Outcome Measures
Presentation transcript:

Ryen W. White PhD and Eric Horvitz MD, PhD Microsoft Research {ryenw,

Outline Motivation Online Medical Search Cyberchondria Study Research Questions Methodology Findings Undiagnosed Conditions Diagnosed Conditions Implications

Online Medical Search Healthcare websites for worried well Provide valuable information, address concerns, etc. 80% US adults use search engines to find medical info 75% don’t verify quality (validity, date, etc.) Problem: Search engines for diagnostic reasoning Link to pages with alarming content More written about serious than benign explanations Ranking algorithms use click logs; reinforce alarming pages

Online Medical Search Challenge: Linking to troubling scenarios in absence of likelihood information Consumers seek confirmation and disconfirmation Search engines relied upon for quality information but perform information retrieval rather than diagnosis Likelihood information not considered in ranking of lists Influence of signs & symptoms on likelihoods not provided Search engines suffer from & fuel biases of judgment: base-rate neglect, availability, confirmation

Cyberchondria Unfounded escalation of concerns about common symptomology based on review of search results and literature online  Query search engine for [headache]  Review results  Browse Web pages  Query for [brain tumor] – Medical anxiety  Query for [caffeine withdrawal] Previous log analyses - cyberchondria common; lacked qualitative data headache brain tumor caffeine withdrawal

Study: Overview & Objectives Survey of experiences with Web use for self diagnosis Considered diagnosed & undiagnosed conditions Research Questions: What are characteristics of Web-based medical diagnosis? Are these characteristics associated with age or gender? What are key dependencies among characteristics? Prior studies have not answered these questions Self-report data from 500+ volunteers within Microsoft

Methodology Survey designed to elicit: Perceptions of online medical information Experiences in searching for this information Influence of the Web on healthcare concerns & interests Anonymized. 70 open & closed questions Covered health issues, including medical history & engagement with health professionals Five-point scales used to measure frequency: AlwaysOftenOccasionallyRarelyNever

Findings: Background 350 males, 165 females; median age = 36 years Most used search engines to find medical information 5-10 medical searches/month - medical domain novices 4% self-identified as “hypochondriac” 5 times average number of medical searches Subjects had low level of medical anxiety (3 on 10 pt scale) 3/4 of subjects searched for medical symptoms 2/3 searched for undiagnosed cond. at least once/month Subjects generally searched for themselves Women on behalf of relatives more than men (66% vs. 53%)

Findings: Undiagnosed Conditions Question Group AllMaleFemale How often do your Web searches for symptoms / basic medical conditions lead to your review of content on serious illnesses? % Always or Often Has searching for health- related information online ever made you feel more anxious about a perceived medical condition? % Yes Has searching for health- related information online ever made you feel less anxious about a perceived medical condition? % Yes Does searching the Web for health-related information make you behave differently with respect to a perceived medical condition? % Yes % of searchers escalate frequently Main factors contributing to anxiety: Mention of serious conditions (64%) Escalatory terms (e.g., grave, fatal) (41%) No benign explanations (36%) Main factors reducing anxiety: Authoritative sources (90%) Synthesis from multiple sources (48%) Behavioral changes manifest as: Searches for serious concerns increase (61%) Visits to relevant Web sites increase (72%) Engage. w/ medical specialists increase (60%)  2 significance: p <.05, p <.01

Findings: Undiagnosed Conditions Conditioning on answers to pivotal questions: RankAsLikelihood (Always-Never): “If your queries contain medical symptoms, how often do you consider the rank of the Web search results as indicating the likelihood of illnesses, with more likely diseases appearing higher up on the result page(s)?” Hypochondriac (Yes-No): “Do you think that you are a hypochondriac?” OverThreshold (Yes-No): “Do you believe that you have ever been in a situation where Web content “put you over the threshold” for scheduling an appointment with a health professional, when you would likely have not sought professional medical attention if you had not reviewed Web content?”

Findings: Undiagnosed Conditions Question GroupRankAsLikelihoodHypochondriacOverThreshold AllMaleFemaleAlwaysNeverYesNoYesNo How often do your Web searches for symptoms / basic medical conditions lead to your review of content on serious illnesses? % Always or Often Has searching for health- related information online ever made you feel more anxious about a perceived medical condition? % Yes Has searching for health- related information online ever made you feel less anxious about a perceived medical condition? % Yes Does searching the Web for health-related information make you behave differently with respect to a perceived medical condition? % Yes  2 significance: p <.05, p <.01

Findings: Diagnosed Conditions Question Group AllMaleFemale Did your use of the Web [for related medical searches] occur solely after your diagnosis? % Yes Did the Web help reassure you? % Yes Did the Web help you understand the terminology or explanation used by the health professional? % Yes Did the information help you to actively participate in the conversation with the health professional? % Yes ~80% used Web to study diagnosed medical conditions ~60% informed physician ~15% felt uncomfortable bringing their own research to physician Physician reaction (from patient’s perspective): 37% happy 51% neutral 5% discontent or irritated 7% could not interpret  2 significance: p <.05, p <.01

Findings: Diagnosed Conditions Question GroupRankAsLikelihoodHypochondriacOverThreshold AllMaleFemaleAlwaysNeverYesNoYesNo Did your use of the Web [for related medical searches] occur solely after your diagnosis? % Yes Did the Web help reassure you? % Yes Did the Web help you understand the terminology or explanation used by the health professional? % Yes Did the information help you to actively participate in the conversation with the health professional? % Yes  2 significance: p <.05, p <.01

Findings: Summary Presented findings of survey of participants’ experiences with investigating medical concerns & performing self- diagnosis Escalation reported to occur frequently for 20% subjects Web increases anxiety (40% people), reduces (50% people) Web can help, but can also cause distress, especially for those that are pre-disposed to anxiety Key marginalizations revealed larger effects Web plays a key role in helping patients understand conditions before and after diagnosis

Implications Content providers & search engine designers should be aware of their influences on consumers Caution with alarming content linked to common symptoms Additional context (e.g., predispositions, likelihoods, incidence) Dependable ways to investigate medical info online Web content facilitates patient-physician interaction Receptiveness to patient research by clinicians Investigate ways to combine patient-driven research and professional advice to improve care provided Periodic surveys and analysis with different cohorts Opportunities for ongoing tracking of health experience with web search and browsing Track changes in goals, perceptions, activities, outcomes