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Impact of Physician-Patient Communication in Online Health Communities on Patient Compliance: Cross-Sectional Questionnaire Study

Impact of Physician-Patient Communication in Online Health Communities on Patient Compliance: Cross-Sectional Questionnaire Study

In addition, the perceived quality of internet health information, decision-making preference, and physician-patient concordance all positively affected patient compliance.

Xinyi Lu, Runtong Zhang

J Med Internet Res 2019;21(5):e12891


Improving Patient Preference Elicitation by Applying Concepts From the Consumer Research Field: Narrative Literature Review

Improving Patient Preference Elicitation by Applying Concepts From the Consumer Research Field: Narrative Literature Review

As part of a structured process to reveal preferences, both qualitative and quantitative preference measurement methods can be used.Experience of Preference Elicitation in Consumer ResearchQuantitative methods for patient preference elicitation include discrete

Niki Ver Donck, Geert Vander Stichele, Isabelle Huys

Interact J Med Res 2020;9(1):e13684


Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement

Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement

At present, it is unclear what are the best approaches for encouraging patient adoption of mHealth interventions.Research on patient adoption of technology in treatment of mental illness suggests that interest outpaces adoption.

Jessica Lipschitz, Christopher J Miller, Timothy P Hogan, Katherine E Burdick, Rachel Lippin-Foster, Steven R Simon, James Burgess

JMIR Ment Health 2019;6(1):e11334


Psychosocial Assessment Using Telehealth in Adolescents and Young Adults With Cancer: A Partially Randomized Patient Preference Pilot Study

Psychosocial Assessment Using Telehealth in Adolescents and Young Adults With Cancer: A Partially Randomized Patient Preference Pilot Study

of modality for all patients and to explore reasons for the stated preference; (4) patient outcome expectations and credibility beliefs about receiving the psychosocial assessment via telehealth or face-to-face; (5) patient-reported levels of working alliance

John Alexander Chalmers, Ursula Margaret Sansom-Daly, Pandora Patterson, Geoffrey McCowage, Antoinette Anazodo

JMIR Res Protoc 2018;7(8):e168


Preferred Features of Oral Treatments and Predictors of Non-Adherence: Two Web-Based Choice Experiments in Multiple Sclerosis Patients

Preferred Features of Oral Treatments and Predictors of Non-Adherence: Two Web-Based Choice Experiments in Multiple Sclerosis Patients

In showing patients different levels of efficacy and risk for hypothetical treatments, they found the most important attributes influencing patient preference to be the effect of a treatment to slow disease progression (27% out of a possible 100%), closely

Paul Wicks, David Brandes, Jinhee Park, Dimitri Liakhovitski, Tatiana Koudinova, Rahul Sasane

Interact J Med Res 2015;4(1):e6


Cancer Survivors’ Experience With Telehealth: A Systematic Review and Thematic Synthesis

Cancer Survivors’ Experience With Telehealth: A Systematic Review and Thematic Synthesis

They appraised benefits in terms of quality of life and management of symptoms (including pain, depression, anxiety, fatigue, and sexual dysfunction) using patient-reported outcome measures, but found the benefit of telehealth to vary between studies.

Anna Cox, Grace Lucas, Afrodita Marcu, Marianne Piano, Wendy Grosvenor, Freda Mold, Roma Maguire, Emma Ream

J Med Internet Res 2017;19(1):e11


Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire

Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire

Dimension of preference was coded as a dummy variable with decision-making preference = “0” and information preference = “1”, which had a random effect on preference ratings.

Bo Xie, Mo Wang, Robert Feldman, Le Zhou

J Med Internet Res 2013;15(7):e132


Reliability, Feasibility, and Patient Acceptance of an Electronic Version of a Multidimensional Health Assessment Questionnaire for Routine Rheumatology Care: Validation and Patient Preference Study

Reliability, Feasibility, and Patient Acceptance of an Electronic Version of a Multidimensional Health Assessment Questionnaire for Routine Rheumatology Care: Validation and Patient Preference Study

This report presents analyses of the reliability, feasibility, and patient acceptance of an eMDHAQ.MethodsEthics and ConsentThe Rush University Institutional Review Board waived the requirement for patient consent in the completion of patient questionnaires

Theodore Pincus, Isabel Castrejon, Mariam Riad, Elena Obreja, Candice Lewis, Niels Steen Krogh

JMIR Form Res 2020;4(5):e15815