Check health professions papers: citations, claims and retractions

A prospective analysis of stress and academic performance in the first two years of medical school

Stewart, Lam, Betson, Wong, & Wong (1999) · Medical Education

Healthcare professionals’ stress and burnoutStudent Stress and Coping

Cited by 369

Towards understanding the de-adoption of low-value clinical practices: a scoping review

Niven, D. J., Mrklas, K. J., Holodinsky, J. K., Straus, S. E., Hemmelgarn, B. R., Jeffs, L. P., & Stelfox, H. T. (2015) · BMC Medicine

Healthcare cost, quality, practicesHealth Policy Implementation Science

Cited by 369

The GRIPP checklist: Strengthening the quality of patient and public involvement reporting in research

Staniszewska, S., Brett, J., Mockford, C., & Barber, R. (2011) · International Journal of Technology Assessment in Health Care

Mental Health and Patient InvolvementHealth Policy Implementation Science

Cited by 369

Early detection of type 2 diabetes mellitus using machine learning-based prediction models

Kopitar, L., Kocbek, P., Cilar, L., Sheikh, A., & Stiglic, G. (2020) · Scientific Reports

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 369

Pretreatment psychosocial variables as predictors of outcomes following lumbar surgery and spinal cord stimulation: a systematic review and literature synthesis

Celestin, J., Edwards, R. R., & Jamison, R. N. (2009) · Pain Medicine

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 368

Are multifaceted interventions more effective than single-component interventions in changing health-care professionals' behaviours? An overview of systematic reviews

Squires, J. E., Sullivan, K., Eccles, M. P., Worswick, J., & Grimshaw, J. M. (2014) · Implementation Science

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 368

Clinical Practice Guideline: Hoarseness (Dysphonia) (Update)

Stachler, R. J., Francis, D. O., Schwartz, S. R., Damask, C. C., Digoy, G. P., Krouse, H. J., McCoy, S. J., Ouellette, D. R., Patel, R. R., Reavis, C. (. W., et al. (2018) · Otolaryngology–Head and Neck Surgery

Voice and Speech DisordersRespiratory and Cough-Related Research

Cited by 368

Point of care testing

Price, C. P. (2001) · BMJ

Clinical Laboratory Practices and Quality ControlBiosensors and Analytical Detection

Cited by 368

Requirement for mass spectrometry sex steroid assays in the journal of clinical endocrinology and metabolism

Handelsman, D. J., & Wartofsky, L. (2013) · The Journal of Clinical Endocrinology & Metabolism

Clinical Laboratory Practices and Quality ControlAdrenal Hormones and Disorders

Cited by 368

Deep learning in mental health outcome research: a scoping review

Su, C., Xu, Z., Pathak, J., & Wang, F. (2020) · Translational Psychiatry

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 368

Back to the Future: Achieving Health Equity Through Health Informatics and Digital Health

Brewer, L. C., Fortuna, K. L., Jones, C., Walker, R., Hayes, S. N., Patten, C. A., & Cooper, L. A. (2020) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsHealth disparities and outcomes

Cited by 367

A review of the PubMed PICO tool: using evidence-based practice in health education

Brown, D. (2020) · Health Promotion Practice

Health Sciences Research and EducationMeta-analysis and systematic reviews

Cited by 367

Intelligible Support Vector Machines for Diagnosis of Diabetes Mellitus

Barakat, N., Bradley, A. P., & Barakat, M. N. H. (2010) · IEEE Transactions on Information Technology in Biomedicine

Artificial Intelligence in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 367

The need to approximate the use-case in clinical machine learning

Saeb, S., Lonini, L., Jayaraman, A., Mohr, D. C., & Kording, K. P. (2017) · GigaScience

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 367

Defining and measuring completeness of electronic health records for secondary use

Weiskopf, N. G., Hripcsak, G., Swaminathan, S., & Weng, C. (2013) · Journal of Biomedical Informatics

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 367

Narrative review of models and success factors for scaling up public health interventions

Milat, A. J., Bauman, A., & Redman, S. (2015) · Implementation Science

Health Policy Implementation SciencePublic Health Policies and Education

Cited by 366

Electronic medical records and physician stress in primary care: results from the MEMO Study

Babbott, S., Manwell, L. B., Brown, R., Montague, E., Williams, E., Schwartz, M., Hess, E., & Linzer, M. (2014) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealthcare professionals’ stress and burnout

Cited by 366

Sit-to-stand test: Performance and determinants across the age-span

Bohannon, R. W., Bubela, D. J., Magasi, S. R., Wang, Y.-C., & Gershon, R. C. (2010) · Isokinetics and Exercise Science

Balance, Gait, and Falls PreventionFrailty in Older Adults

Cited by 366

Towards a measurement instrument for determinants of innovations

Fleuren, M. A. H., Paulussen, T. G. W. M., Van Dommelen, P., & Van Buuren, S. (2014) · International Journal for Quality in Health Care

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 365

Health information technology: fallacies and sober realities

Karsh, B.-T., Weinger, M. B., Abbott, P. A., & Wears, R. L. (2010) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsInformation Systems Theories and Implementation

Cited by 365

Status of hemoglobin A1c measurement and goals for improvement: from chaos to order for improving diabetes care

Little, R. R., Rohlfing, C. L., & Sacks, D. B. (2011) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 365

Review: Electronic Health Records and the Reliability and Validity of Quality Measures: A Review of the Literature

Chan, K. S., Fowles, J. B., & Weiner, J. P. (2010) · Medical Care Research and Review

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 365

Factors associated to depression and anxiety in medical students: a multicenter study

Brenneisen Mayer, F., Souza Santos, I., Silveira, P. S. P., Itaqui Lopes, M. H., de Souza, A. R. N. D., Campos, E. P., de Abreu, B. A. L., Hoffman II, I., Magalhães, C. R., Lima, M. C. P., et al. (2016) · BMC Medical Education

Healthcare professionals’ stress and burnoutMental Health Treatment and Access

Cited by 364

Interventions to improve mental health, well-being, physical health, and lifestyle behaviors in physicians and nurses: a systematic review

Melnyk, B. M., Kelly, S. A., Stephens, J., Dhakal, K., McGovern, C., Tucker, S., Hoying, J., McRae, K., Ault, S., Spurlock, E., et al. (2020) · American Journal of Health Promotion

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 364