Check health professions papers: citations, claims and retractions

Best practices in modified barium swallow studies

Martin-Harris, B., Canon, C. L., Bonilha, H. S., Murray, J., Davidson, K., & Lefton-Greif, M. A. (2020) · American Journal of Speech-Language Pathology

Dysphagia Assessment and ManagementVoice and Speech Disorders

Cited by 129

Within- and between-subject variation in commonly measured anthropometric and biochemical variables

Widjaja, A., Morris, R. J., Levy, J. C., Frayn, K. N., Manley, S. E., & Turner, R. C. (1999) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlBody Composition Measurement Techniques

Cited by 129

Using instrumented paper diaries to document self-monitoring patterns in weight loss

Burke, L. E., Sereika, S. M., Music, E., Warziski, M., Styn, M. A., & Stone, A. (2008) · Contemporary Clinical Trials

Mobile Health and mHealth ApplicationsNutrition, Health and Food Behavior

Cited by 129

Effects of education to facilitate knowledge about chronic pain for adults: a systematic review with meta-analysis

Geneen, L. J., Martin, D. J., Adams, N., Clarke, C., Dunbar, M., Jones, D., McNamee, P., Schofield, P., & Smith, B. H. (2015) · Systematic Reviews

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 129

Making "making" accessible

Hurst, A., & Kane, S. (2013) · Proceedings of the 12th International Conference on Interaction Design and Children

Assistive Technology in Communication and MobilityAdditive Manufacturing and 3D Printing Technologies

Cited by 128

The power of symbolic capital in patient and public involvement in health research

Locock, L., Boylan, A., Snow, R., & Staniszewska, S. (2017) · Health Expectations

Mental Health and Patient InvolvementCommunity Health and Development

Cited by 128

The Incidence and Predictors of Job Burnout in First-Year Internal Medicine Residents: A Five-Institution Study

Ripp, J., Babyatsky, M., Fallar, R., Bazari, H., Bellini, L., Kapadia, C., Katz, J. T., Pecker, M., & Korenstein, D. (2011) · Academic Medicine

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 128

A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents

Mulvaney, S. A., Anders, S., Smith, A. K., Pittel, E. J., & Johnson, K. B. (2012) · Journal of Telemedicine and Telecare

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 128

Smartphones in the secondary prevention of cardiovascular disease: a systematic review.

Hamilton, S. J., Mills, B., Birch, E. M., & Thompson, S. C. (2018) · BMC Cardiovascular Disorders

Mobile Health and mHealth ApplicationsCardiac Health and Mental Health

Cited by 128

Web-Based Interventions Targeting Cardiovascular Risk Factors in Middle-Aged and Older People: A Systematic Review and Meta-Analysis

Beishuizen, C. R., Stephan, B. C., van Gool, W. A., Brayne, C., Peters, R. J., Andrieu, S., Kivipelto, M., Soininen, H., Busschers, W. B., Moll van Charante, E. P., et al. (2016) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsHealth Promotion and Cardiovascular Prevention

Cited by 128

The development of a mobile monitoring and feedback tool to stimulate physical activity of people with a chronic disease in primary care: a user-centered design

van der Weegen, S., Verwey, R., Spreeuwenberg, M., Tange, H., van der Weijden, T., & de Witte, L. (2013) · JMIR mhealth and uhealth

Mobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

Cited by 128

Weight loss efficacy of a novel mobile Diabetes Prevention Program delivery platform with human coaching

Michaelides, A., Raby, C., Wood, M., Farr, K., & Toro-Ramos, T. (2016) · BMJ Open Diabetes Research & Care

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 128

An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus

Du, Y., Rafferty, A. R., McAuliffe, F. M., Wei, L., & Mooney, C. (2022) · Scientific Reports

Artificial Intelligence in HealthcareGestational Diabetes Research and Management

Cited by 128

Health-promoting lifestyle profile and associated factors among medical students in a Saudi university

Alzahrani, S. H., Malik, A. A., Bashawri, J., Shaheen, S. A., Shaheen, M. M., Alsaib, A. A., Mubarak, M. A., Adam, Y. S., & Abdulwassi, H. K. (2019) · SAGE Open Medicine

Health and Wellbeing ResearchHealth and Lifestyle Studies

Cited by 128

Responsiveness and Minimal Important Change of the Pain Self-Efficacy Questionnaire and Short Forms in Patients With Chronic Low Back Pain

Chiarotto, A., Vanti, C., Cedraschi, C., Ferrari, S., de Lima e Sà Resende, F., Ostelo, R. W., & Pillastrini, P. (2016) · The Journal of Pain

Musculoskeletal pain and rehabilitationPsychometric Methodologies and Testing

Cited by 128

Interactive Mobile Health Intervention and Blood Pressure Management in Adults: A Meta-Analysis of Randomized Controlled Trials

Lu, X., Yang, H., Xia, X., Lu, X., Lin, J., Liu, F., & Gu, D. (2019) · Hypertension

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 128

A meta-analysis of fear-avoidance and pain intensity: the paradox of chronic pain

Kroska, E. B. (2016) · Scandinavian Journal of Pain

Musculoskeletal pain and rehabilitationPediatric Pain Management Techniques

Cited by 128

Report of the IFCC Working Group for Standardization of Thyroid Function Tests, part 1: Thyroid-Stimulating Hormone

Thienpont, L. M., Van Uytfanghe, K., Beastall, G., Faix, J. D., Ieiri, T., Miller, W. G., Nelson, J. C., Ronin, C., Ross, H. A., Thijssen, J. H., et al. (2010) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlThyroid Disorders and Treatments

Cited by 128

The Value of Unstructured Electronic Health Record Data in Geriatric Syndrome Case Identification

Kharrazi, H., Anzaldi, L. J., Hernandez, L., Davison, A., Boyd, C. M., Leff, B., Kimura, J., & Weiner, J. P. (2018) · Journal of the American Geriatrics Society

Medical Coding and Health InformationMachine Learning in Healthcare

Cited by 128

Developing standards for reporting implementation studies of complex interventions (StaRI): a systematic review and e-Delphi

Pinnock, H., Epiphaniou, E., Sheikh, A., Griffiths, C., Eldridge, S., Craig, P., & Taylor, S. J. (2015) · Implementation Science

Health Policy Implementation ScienceDelphi Technique in Research

Cited by 128

Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review

Powers, E. M., Shiffman, R. N., Melnick, E. R., Hickner, A., & Sharifi, M. (2018) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 128

A Systematic Review of Technology-assisted Self-Management Interventions for Chronic Pain: Looking Across Treatment Modalities

Heapy, A. A., Higgins, D. M., Cervone, D., Wandner, L., Fenton, B. T., & Kerns, R. D. (2015) · The Clinical Journal of Pain

Musculoskeletal pain and rehabilitationDigital Mental Health Interventions

Cited by 128

The historical social positioning of nursing and medicine: implications for career choice, early socialization and interprofessional collaboration

Price, S., Doucet, S., & Hall, L. M. (2014) · Journal of Interprofessional Care

Interprofessional Education and CollaborationInterdisciplinary Research and Collaboration

Cited by 128

Operant Learning Theory in Pain and Chronic Pain Rehabilitation

Gatzounis, R., Schrooten, M. G. S., Crombez, G., & Vlaeyen, J. W. S. (2012) · Current Pain and Headache Reports

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 128