Check health professions papers: citations, claims and retractions

A Multimethod Study of Mental Health Care Patients’ Attitudes Toward Clinician-Level Performance Information

Boswell, J. F., Constantino, M. J., Oswald, J. M., Bugatti, M., Coyne, A. E., Goodwin, B., & Morrison, N. (2021) · Psychiatric Services

Patient Satisfaction in HealthcarePsychotherapy Techniques and Applications

Cited by 13

Mobile Phone Administration of Hip-Specific Patient-Reported Outcome Instruments Correlates Highly With In-office Administration

Scott, E. J., Anthony, C. A., Rooney, P., Lynch, T. S., Willey, M. C., & Westermann, R. W. (2020) · Journal of the American Academy of Orthopaedic Surgeons

Mobile Health and mHealth ApplicationsSurvey Methodology and Nonresponse

Cited by 13

Age Modifies the Association Between Depressive Symptoms and Adherence to Self-Testing With Telemedicine in Patients With Inflammatory Bowel Disease

Chudy-Onwugaje, K., Abutaleb, A., Buchwald, A., Langenberg, P., Regueiro, M., Schwartz, D. A., Tracy, J. K., Ghazi, L., Patil, S. A., Quezada, S., et al. (2018) · Inflammatory Bowel Diseases

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 13

Uptake and use of a diabetes management program with a mobile glucometer

Garabedian, L. F., Ross-Degnan, D., LeCates, R. F., & Wharam, J. F. (2019) · Primary Care Diabetes

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 13

A Community-Based Partnership to Promote Exercise Among Cancer Survivors: Lessons Learned

Pinto, B. M., Waldemore, M., & Rosen, R. (2015) · International Journal of Behavioral Medicine

Health Policy Implementation ScienceCommunity Health and Development

Cited by 13

Experience of primary healthcare workers in using the mobile app-based WHO mhGAP intervention guide in detection and treatment of people with mental disorders: A qualitative study in Nepal

Luitel, N. P., Neupane, V., Lamichhane, B., Koirala, G. P., Gautam, K., Karki, E., Adhikari, S., Votruba, N., Jordans, M. J., Kohrt, B. A., et al. (2023) · SSM - Mental Health

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 13

A core outcome set for evaluating the effectiveness of mixed-diagnosis falls prevention interventions for people with Multiple Sclerosis, Parkinson’s Disease and stroke

O’Malley, N., Coote, S., Staunton, F. M., O’Connor, E., & Clifford, A. M. (2023) · PLOS ONE

Balance, Gait, and Falls PreventionDelphi Technique in Research

Cited by 13

Pain avoidance predicts disability and depressive symptoms three years later in individuals with whiplash complaints

Zetterqvist, V., Holmström, L., Maathz, P., & Wicksell, R. K. (2017) · Acta Anaesthesiologica Scandinavica

Musculoskeletal pain and rehabilitationMindfulness and Compassion Interventions

Cited by 13

A journey of living well: a participatory photovoice study exploring recovery and everyday activities with people experiencing mental illness

Doroud, N., Fossey, E., Fortune, T., Brophy, L., & Mountford, L. (2022) · Journal of Mental Health

Mental Health and Patient InvolvementParticipatory Visual Research Methods

Cited by 13

Factors Affecting Electronic Health Information Needs in Primary Care Patients

Vanagas, G., & Klimavičiūtė-Gudauskiene, R. (2012) · Telemedicine and e-Health

Health Literacy and Information AccessibilityElectronic Health Records Systems

Cited by 13

Nursing Intervention using smartphone technologies; a systematic review and meta-analysis.

Eunjoo, J., & Hyeoun-Ae, P. (2015) · Studies in Health Technology and Informatics

Mobile Health and mHealth ApplicationsMobile Learning in Education

Cited by 13

Longitudinal Effects of Parkinson's Disease on Speech Breathing During an Extemporaneous Connected Speech Task

Darling-White, M., Anspach, Z., & Huber, J. E. (2022) · Journal of Speech, Language, and Hearing Research

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 13

An expert system for the diagnosis of sexually transmitted diseases – ESSTD

Thompson, T., Sowunmi, O., Misra, S., Fernandez-Sanz, L., Crawford, B., & Soto, R. (2017) · Journal of Intelligent & Fuzzy Systems

Artificial Intelligence in HealthcareEdcuational Technology Systems

Cited by 13

The first mHealth app for managing cannabis use: gauging its potential helpfulness

David J Kavanagh, A. Y. S. L. (2014) · Journal of Addictive Behaviors Therapy & Rehabilitation

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 13

Interaction symmetry: Assessing augmented speaker and oral speaker performances across four tasks

Seale, J. M., Bisantz, A. M., & Higginbotham, J. (2020) · Augmentative and Alternative Communication

Assistive Technology in Communication and MobilityLanguage, Discourse, Communication Strategies

Cited by 13

Enhancing the Healthcare by an Automated Detection Method for PCOS Using Supervised Machine Learning Algorithm

A, A., Ali, A., H V, R., A, M. S., & Nadaf, T. A. (2023) · 2023 International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS)

Artificial Intelligence in HealthcareOvarian function and disorders

Cited by 13

Assessment of two glycated hemoglobin immunoassays

Guadalupe Vargas, M., Pazmiño Gomez, B. J., Vera Lorenti, F. E., Álvarez Condo, G. M., Rodas Neira, E. I., Veron, D., Fernández Veron, M., Cercado, A. G., Bahar, B., Tufro, A., et al. (2020) · Endocrinología, Diabetes y Nutrición

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 13

Biobehavioral Assessments in BACPAC: Recommendations, Rationale, and Methods

Greco, C. M., Wasan, A. D., Schneider, M. J., Mehling, W., Williams, D. A., Darwin, J., & Harte, S. E. (2023) · Pain Medicine

Musculoskeletal pain and rehabilitationPain Mechanisms and Treatments

Cited by 13

Manometric Abnormality in Dysphagic Patients after Medullary Cerebrovascular Accidents

Higo, R., Tayama, N., & Watanabe, T. (2002) · ORL

Dysphagia Assessment and ManagementVoice and Speech Disorders

Cited by 13

iRehab in aphasia treatment

Kurland, J. (2014) · Seminars in Speech and Language

Assistive Technology in Communication and MobilityMobile Learning in Education

Cited by 13

Challenges and Potential of Using Digital Biomarkers in Healthcare and Clinical Trials

Lieberwirth, J. K., Mittermaier, M., & Stern, A. D. (2026) · Communications Medicine

Mobile Health and mHealth ApplicationsHealthcare Technology and Patient Monitoring

Cited by 13

AI Detection of Glottic Neoplasm Using Voice Signals, Demographics, and Structured Medical Records

Wang, C., Chen, T., Lee, N., & Fang, S. (2024) · The Laryngoscope

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 13

Digital health interventions and inequalities: the case for a new paradigm

Banerjee, A. (2021) · BMJ Evidence-Based Medicine

Mobile Health and mHealth ApplicationsHealth disparities and outcomes

Cited by 13

Do the New FDA Guidance Documents Help Improving Performance of Blood Glucose Monitoring Systems Compared With ISO 15197?

Freckmann, G., Baumstark, A., & Pleus, S. (2017) · Journal of Diabetes Science and Technology

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 13