Check health professions papers: citations, claims and retractions

Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials

Tarricone, R., Petracca, F., Svae, L., Cucciniello, M., & Ciani, O. (2024) · eBioMedicine

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 26

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation

Ghassemi, M., Pushkarna, M., Wexler, J., Johnson, J., & Varghese, P. (2018) · arXiv

Electronic Health Records SystemsData Visualization and Analytics

Cited by 26

Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review

Zeinali, N., Youn, N., Albashayreh, A., Fan, W., & Gilbertson White, S. (2024) · JMIR Cancer

Artificial Intelligence in HealthcareCancer survivorship and care

Cited by 26

Addressing the evidence to practice gap for complex interventions in primary care: a systematic review of reviews protocol

Lau, R., Stevenson, F., Ong, B. N., Dziedzic, K., Eldridge, S., Everitt, H., Kennedy, A., Kontopantelis, E., Little, P., Qureshi, N., et al. (2014) · BMJ Open

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 26

A Missing Link: HIV-/AIDS-Related mHealth Interventions for Health Workers in Low- and Middle-Income Countries

Gimbel, S., Kawakyu, N., Dau, H., & Unger, J. A. (2018) · Current HIV/AIDS Reports

Mobile Health and mHealth ApplicationsHIV/AIDS Research and Interventions

Cited by 26

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model

Liu, S., Zhang, R., Shang, X., & Li, W. (2020) · Computer Methods and Programs in Biomedicine

Artificial Intelligence in HealthcareBayesian Modeling and Causal Inference

Cited by 26

Community-based distributive medical education: Advantaging society

Farnsworth, T. J., Frantz, A. C., & McCune, R. (2012) · Medical Education Online

Health and Medical EducationGlobal Health Workforce Issues

Cited by 26

Effectiveness of Occupational Therapy Services in Mental Health Practice

Swarbrick, M., & Noyes, S. (2018) · American Journal of Occupational Therapy

Occupational Therapy Practice and ResearchArt Therapy and Mental Health

Cited by 26

User Perceptions of an mHealth Medicine Dosing Tool for Community Health Workers

Palazuelos, D., Diallo, A. B., Palazuelos, L., Carlile, N., Payne, J. D., & Franke, M. F. (2013) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 26

What evidence is there for a delay in diagnostic coding of RA in UK general practice records? An observational study of free text

Ford, E., Carroll, J., Smith, H., Davies, K., Koeling, R., Petersen, I., Rait, G., & Cassell, J. (2016) · BMJ Open

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 26

Capitalizing on the Characteristics of mHealth to Evaluate Its Impact

Mechael, P., Nemser, B., Cosmaciuc, R., Cole-Lewis, H., Ohemeng-Dapaah, S., Dusabe, S., Kaonga, N. N., Namakula, P., Shemsanga, M., Burbach, R., et al. (2012) · Journal of Health Communication

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 26

Trauma and mental health of medics in eastern Myanmar’s conflict zones: a cross-sectional and mixed methods investigation

Lim, A. G., Stock, L., Shwe Oo, E. K., & Jutte, D. P. (2013) · Conflict and Health

Healthcare professionals’ stress and burnoutPosttraumatic Stress Disorder Research

Cited by 26

Pain Neuroscience Education as the Foundation of Interdisciplinary Pain Treatment

Eneberg-Boldon, K., Schaack, B., & Joyce, K. (2020) · Physical Medicine and Rehabilitation Clinics of North America

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 26

Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial

Goldstein, S. P., Zhang, F., Klasnja, P., Hoover, A., Wing, R. R., & Thomas, J. G. (2021) · JMIR Research Protocols

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 26

Data Resource Profile Update: CPRD GOLD

Sanchez-Santos, M. T., Axson, E. L., Dedman, D., & Delmestri, A. (2025) · International Journal of Epidemiology

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 26

Home modifications to prevent home fall injuries in houses with Māori occupants (MHIPI): a randomised controlled trial

Keall, M. D., Tupara, H., Pierse, N., Wilkie, M., Baker, M. G., Howden-Chapman, P., & Cunningham, C. (2021) · The Lancet Public Health

Balance, Gait, and Falls PreventionInjury Epidemiology and Prevention

Cited by 26

Building practitioner networks to support dissemination and implementation of evidence-based programs in community settings

Ramanadhan, S., Minsky, S., Martinez-Dominguez, V., & Viswanath, K. (2017) · Translational Behavioral Medicine

Health Policy Implementation ScienceCommunity Health and Development

Cited by 26

A Web-Based Intervention for Health Professionals and Patients to Decrease Cardiovascular Risk Attributable to Physical Inactivity: Development Process

Sassen, B., Kok, G., Mesters, I., Crutzen, R., Cremers, A., & Vanhees, L. (2012) · JMIR Research Protocols

Mobile Health and mHealth ApplicationsBehavioral Health and Interventions

Cited by 26

Burnout Syndrome During Residency

Turgut, N., Karacalar, S., Polat, C., Kiran, O., Gultop, F., Turkmen Kalyon, S., Sinoglu, B., Zincirci, M., & Kaya, E. (2016) · Turkish Journal of Anesthesia and Reanimation

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 26

Customizing clinical decision support to prevent excessive drug–drug interaction alerts

Horn, J. R., Hansten, P. D., Osborn, J. D., Wareham, P., & Somani, S. (2011) · American Journal of Health-System Pharmacy

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 26

Computational Barthel Index: an automated tool for assessing and predicting activities of daily living among nursing home patients

Wojtusiak, J., Asadzadehzanjani, N., Levy, C., Alemi, F., & Williams, A. E. (2021) · BMC Medical Informatics and Decision Making

Artificial Intelligence in HealthcareGeriatric Care and Nursing Homes

Cited by 26

Evaluation of medication dose alerts in pediatric inpatients

Scharnweber, C., Lau, B. D., Mollenkopf, N., Thiemann, D. R., Veltri, M. A., & Lehmann, C. U. (2013) · International Journal of Medical Informatics

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 26

Accuracy of a point-of-care hemoglobin A1c assay

Nathan, D. M., Griffin, A., Perez, F. M., Basque, E., Do, L., & Steiner, B. (2019) · Journal of Diabetes Science and Technology

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 26

Psychotropic drug-related fall incidents in nursing home residents living in the eastern part of the Netherlands

Janus, S. I. M., Reinders, G. H., van Manen, J. G., Zuidema, S. U., & IJzerman, M. J. (2017) · Drugs in R&D

Balance, Gait, and Falls PreventionPharmaceutical Practices and Patient Outcomes

Cited by 26