Check health professions papers: citations, claims and retractions

Validation of a case definition for depression in administrative data against primary chart data as a reference standard

Doktorchik, C., Patten, S., Eastwood, C., Peng, M., Chen, G., Beck, C. A., Jetté, N., Williamson, T., & Quan, H. (2019) · BMC Psychiatry

Medical Coding and Health InformationMental Health Treatment and Access

Cited by 156

A randomized controlled trial of exposure in vivo for patients with spinal pain reporting fear of work-related activities

Linton, S. J., Boersma, K., Jansson, M., Overmeer, T., Lindblom, K., & Vlaeyen, J. W. S. (2008) · European Journal of Pain

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 156

DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

Ballinger, B., Hsieh, J., Singh, A., Sohoni, N., Wang, J., Tison, G., Marcus, G., Sanchez, J., Maguire, C., Olgin, J., et al. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Artificial Intelligence in HealthcareNon-Invasive Vital Sign Monitoring

Cited by 156

Quality of Publicly Available Physical Activity Apps: Review and Content Analysis

Bondaronek, P., Alkhaldi, G., Slee, A., Hamilton, F. L., & Murray, E. (2018) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 156

Towards a new model of attentional biases in the development, maintenance, and management of pain

Todd, J., Sharpe, L., Johnson, A., Nicholson Perry, K., Colagiuri, B., & Dear, B. F. (2015) · Pain

Musculoskeletal pain and rehabilitationPain Mechanisms and Treatments

Cited by 156

Linking laboratory and medication data: new opportunities for pharmacoepidemiological research

ten Berg, M. J., Huisman, A., van den Bemt, P. M. L. A., Schobben, A. F. A. M., Egberts, A. C. G., & van Solinge, W. W. (2007) · Clinical Chemical Laboratory Medicine

Electronic Health Records SystemsPharmacovigilance and Adverse Drug Reactions

Cited by 156

Multivariate analyses of the MMPI profiles of low back pain patients

Bradley, L. A., Prokop, C. K., Margolis, R., & Gentry, W. D. (1978) · Journal of Behavioral Medicine

Musculoskeletal pain and rehabilitationPsychological Testing and Assessment

Cited by 156

Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system

Cho, J.-H., Lee, H.-C., Lim, D.-J., Kwon, H.-S., & Yoon, K.-H. (2009) · Journal of Telemedicine and Telecare

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 155

The Society for Implementation Research Collaboration Instrument Review Project: A methodology to promote rigorous evaluation

Lewis, C. C., Stanick, C. F., Martinez, R. G., Weiner, B. J., Kim, M., Barwick, M., & Comtois, K. A. (2016) · Implementation Science

Health Policy Implementation ScienceHealth Education and Validation

Cited by 155

Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions

Cole-Lewis, H., Ezeanochie, N., & Turgiss, J. (2019) · JMIR Formative Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 155

The Comparison of a Technology‐Based System and an In‐Person Behavioral Weight Loss Intervention

Pellegrini, C. A., Verba, S. D., Otto, A. D., Helsel, D. L., Davis, K. K., & Jakicic, J. M. (2012) · Obesity

Mobile Health and mHealth ApplicationsObesity, Physical Activity, Diet

Cited by 155

A systematic review and meta-analysis of interventions for weight management using text messaging

Siopis, G., Chey, T., & Allman‐Farinelli, M. (2015) · Journal of Human Nutrition and Dietetics

Mobile Health and mHealth ApplicationsObesity, Physical Activity, Diet

Cited by 155

The implementation of interprofessional education: a scoping review

Bogossian, F., New, K., George, K., Barr, N., Dodd, N., Hamilton, A. L., Nash, G., Masters, N., Pelly, F., Reid, C., et al. (2023) · Advances in Health Sciences Education

Interprofessional Education and CollaborationInnovations in Medical Education

Cited by 155

A model for harmonizing flow cytometry in clinical trials

the FOCIS Human Immunophenotyping Consortium, Maecker, H. T., & McCoy, J. P. (2010) · Nature Immunology

Clinical Laboratory Practices and Quality ControlT-cell and B-cell Immunology

Cited by 155

Clinically Meaningful Scores on Pain Catastrophizing Before and After Multidisciplinary Rehabilitation: A Prospective Study of Individuals With Subacute Pain After Whiplash Injury

Scott, W., Wideman, T. H., & Sullivan, M. J. L. (2014) · The Clinical Journal of Pain

Musculoskeletal pain and rehabilitationMedical Practices and Rehabilitation

Cited by 155

Ambient artificial intelligence scribes: utilization and impact on documentation time

Ma, S. P., Liang, A. S., Shah, S. J., Smith, M., Jeong, Y., Devon-Sand, A., Crowell, T., Delahaie, C., Hsia, C., Lin, S., et al. (2025) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 155

Cost-effectiveness of exercise therapy in the treatment of non-specific neck pain and low back pain: a systematic review with meta-analysis

Miyamoto, G. C., Lin, C.-W. C., Cabral, C. M. N., van Dongen, J. M., & van Tulder, M. W. (2019) · British Journal of Sports Medicine

Musculoskeletal pain and rehabilitationHealth Systems, Economic Evaluations, Quality of Life

Cited by 155

A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review

Castillo, V. H., Martínez-García, A. I., & Pulido, J. (2010) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsTechnology Adoption and User Behaviour

Cited by 155

The complexity, diversity, and science of primary care teams.

Fiscella, K., & McDaniel, S. H. (2018) · American Psychologist

Interprofessional Education and CollaborationPrimary Care and Health Outcomes

Cited by 155

End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review

Slater, H., Campbell, J. M., Stinson, J. N., Burley, M. M., & Briggs, A. M. (2017) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 155

Stressors and psychological symptoms in students of medicine and allied health professions in Nigeria

Omigbodun, O. O., Odukogbe, A.-T. A., Omigbodun, A. O., Yusuf, O. B., Bella, T. T., & Olayemi, O. (2006) · Social Psychiatry and Psychiatric Epidemiology

Healthcare professionals’ stress and burnoutStudent Stress and Coping

Cited by 155

Extensive Validation of the Pain Disability Index in 3 Groups of Patients With Musculoskeletal Pain

Soer, R., Köke, A. J. A., Vroomen, P. C. A. J., Stegeman, P., Smeets, R. J. E. M., Coppes, M. H., & Reneman, M. F. (2013) · Spine

Musculoskeletal pain and rehabilitationPsychometric Methodologies and Testing

Cited by 155

Integrating Social And Medical Data To Improve Population Health: Opportunities And Barriers

Gottlieb, L., Tobey, R., Cantor, J., Hessler, D., & Adler, N. E. (2016) · Health Affairs

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 155

Ideal and actual involvement of community pharmacists in health promotion and prevention: a cross-sectional study in Quebec, Canada

Laliberté, M.-C., Perreault, S., Damestoy, N., & Lalonde, L. (2012) · BMC Public Health

Pharmacy and Medical PracticesPharmaceutical Practices and Patient Outcomes

Cited by 155