Check health professions papers: citations, claims and retractions

Burnout During Residency Training: A Literature Review

IsHak, W. W., Lederer, S., Mandili, C., Nikravesh, R., Seligman, L., Vasa, M., Ogunyemi, D., & Bernstein, C. A. (2009) · Journal of Graduate Medical Education

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 643

Longitudinal Study Evaluating the Association Between Physician Burnout and Changes in Professional Work Effort

Shanafelt, T. D., Mungo, M., Schmitgen, J., Storz, K. A., Reeves, D., Hayes, S. N., Sloan, J. A., Swensen, S. J., & Buskirk, S. J. (2016) · Mayo Clinic Proceedings

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 642

Weight bias internalization and health: a systematic review

Pearl, R. L., & Puhl, R. M. (2018) · Obesity Reviews

Obesity and Health PracticesEating Disorders and Behaviors

Cited by 642

Development of a brief measure to assess quality of life in obesity

Kolotkin, R. L., Crosby, R. D., Kosloski, K. D., & Williams, G. R. (2001) · Obesity Research

Obesity and Health PracticesObesity, Physical Activity, Diet

Cited by 641

Sustainability of Teacher Implementation of School-Based Mental Health Programs

Han, S. S., & Weiss, B. (2005) · Journal of Abnormal Child Psychology

School Health and Nursing EducationHealth Policy Implementation Science

Cited by 641

Normative Sexuality Development in Adolescence: A Decade in Review, 2000–2009

Tolman, D. L., & McClelland, S. I. (2011) · Journal of Research on Adolescence

Adolescent Sexual and Reproductive HealthLGBTQ Health, Identity, and Policy

Cited by 640

Are Health Care Professionals Advising Obese Patients to Lose Weight?

Galuska, D. A. (1999) · JAMA

Obesity and Health PracticesObesity, Physical Activity, Diet

Cited by 640

Social Marketing and Public Health Intervention

Craig Lefebvre, R., & Flora, J. A. (1988) · Health Education Quarterly

Public Health Policies and EducationBehavioral Health and Interventions

Cited by 640

Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist

Agarwal, S., LeFevre, A. E., Lee, J., L’Engle, K., Mehl, G., Sinha, C., & Labrique, A. (2016) · BMJ

Mobile Health and mHealth ApplicationsMeta-analysis and systematic reviews

Cited by 639

Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis

Ambale-Venkatesh, B., Yang, X., Wu, C. O., Liu, K., Hundley, W. G., McClelland, R., Gomes, A. S., Folsom, A. R., Shea, S., Guallar, E., et al. (2017) · Circulation Research

Artificial Intelligence in HealthcareCardiac Imaging and Diagnostics

Cited by 639

Uniqueness of medical data mining

Cios, K. J., & William Moore, G. (2002) · Artificial Intelligence in Medicine

Artificial Intelligence in HealthcarePrivacy-Preserving Technologies in Data

Cited by 639

Low Health Literacy and Evaluation of Online Health Information: A Systematic Review of the Literature

Diviani, N., van den Putte, B., Giani, S., & van Weert, J. C. (2015) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityInformation Retrieval and Search Behavior

Cited by 638

Systematic Review of Factors Influencing the Adoption of Information and Communication Technologies by Healthcare Professionals

Gagnon, M.-P., Desmartis, M., Labrecque, M., Car, J., Pagliari, C., Pluye, P., Frémont, P., Gagnon, J., Tremblay, N., & Légaré, F. (2012) · Journal of Medical Systems

Electronic Health Records SystemsTechnology Adoption and User Behaviour

Cited by 637

Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies

O’Connor, S., Hanlon, P., O’Donnell, C. A., Garcia, S., Glanville, J., & Mair, F. S. (2016) · BMC Medical Informatics and Decision Making

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 636

A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data

Kahn, M. G., Callahan, T. J., Barnard, J., Bauck, A. E., Brown, J., Davidson, B. N., Estiri, H., Goerg, C., Holve, E., Johnson, S. G., et al. (2016) · eGEMs (Generating Evidence & Methods to improve patient outcomes)

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 636

The future of health behavior change research: What is needed to improve translation of research into health promotion practice?

Glasgow, R. E., Klesges, L. M., Dzewaltowski, D. A., Bull, S. S., & Estabrooks, P. (2004) · Annals of Behavioral Medicine

Health Policy Implementation ScienceBehavioral Health and Interventions

Cited by 635

What to Tell Cancer Patients: A Study of Medical Attitudes

Oken, D. (1961) · JAMA

Patient-Provider Communication in HealthcarePalliative Care and End-of-Life Issues

Cited by 632

Embodied health movements: new approaches to social movements in health

Brown, P., Zavestoski, S., McCormick, S., Mayer, B., Morello‐Frosch, R., & Gasior Altman, R. (2004) · Sociology of Health & Illness

Health, Medicine and SocietySocial Movements and Cultural Identity

Cited by 631

The national cost of hospital-acquired pressure injuries in the United States.

Padula, W. V., & Delarmente, B. A. (2019) · International Wound Journal

Pressure Ulcer Prevention and ManagementWound Healing and Treatments

Cited by 631

Digital Health Equity and COVID-19: The Innovation Curve Cannot Reinforce the Social Gradient of Health

Crawford, A., & Serhal, E. (2020) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityTelemedicine and Telehealth Implementation

Cited by 630

The mPower study, Parkinson disease mobile data collected using ResearchKit

Bot, B. M., Suver, C., Neto, E. C., Kellen, M., Klein, A., Bare, C., Doerr, M., Pratap, A., Wilbanks, J., Dorsey, E. R., et al. (2016) · Scientific Data

Mobile Health and mHealth ApplicationsContext-Aware Activity Recognition Systems

Cited by 630

Developing a comprehensive definition of sustainability

Moore, J. E., Mascarenhas, A., Bain, J., & Straus, S. E. (2017) · Implementation Science

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 630

Generalisability of The Health Improvement Network (THIN) database: demographics, chronic disease prevalence and mortality rates

Blak, B., Thompson, M., Dattani, H., & Bourke, A. (2011) · Journal of Innovation in Health Informatics

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 630

Literacy and misunderstanding prescription drug labels

Davis, T. C., Wolf, M. S., Bass, P. F., Thompson, J. A., Tilson, H. H., Neuberger, M., & Parker, R. M. (2006) · Annals of Internal Medicine

Health Literacy and Information AccessibilityPharmacy and Medical Practices

Cited by 628