Check health professions papers: citations, claims and retractions

Identifying Women at Risk for Polycystic Ovary Syndrome Using a Mobile Health App: Virtual Tool Functionality Assessment

Rodriguez, E. M., Thomas, D., Druet, A., Vlajic-Wheeler, M., Lane, K. J., & Mahalingaiah, S. (2020) · JMIR Formative Research

Mobile Health and mHealth ApplicationsOvarian function and disorders

Cited by 18

Type 2 Diabetes Patients Benefit from the COMODITY12 mHealth System: Results of a Randomised Trial

Kardas, P., Lewandowski, K., & Bromuri, S. (2016) · Journal of Medical Systems

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 18

Protocol of a Pilot Study of Technology-Enabled Coproduction in Pediatric Chronic Illness Care

Kaplan, H. C., Thakkar, S. N., Burns, L., Chini, B., Dykes, D. M., McPhail, G. L., Moore, E., Saeed, S. A., Eslick, I., Margolis, P. A., et al. (2017) · JMIR Research Protocols

Mobile Health and mHealth ApplicationsAdolescent and Pediatric Healthcare

Cited by 18

Exploring Ethical Dilemmas and Coping Strategies in Nursing: A Focus Group Study of Nurses and Nursing Students

Hwu, L., & Pai, H. (2025) · Nursing & Health Sciences

Ethics in medical practiceEthics in Business and Education

Cited by 18

Learning from Healthcare Providers’ Strategies: Designing Technology to Support Effective Child Patient-Provider Communication

Seo, W., Buyuktur, A. G., Verma, S., Kim, H., Choi, S. W., Sedig, L., & Park, S. Y. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Patient-Provider Communication in HealthcareInnovative Human-Technology Interaction

Cited by 18

Who is @ease? Visitors' characteristics and working method of professionally supported peer-to-peer youth walk-in centres, anonymous and free of charge

Leijdesdorff, S. M. J., Rosema, S., Klaassen, R. M. C., Popma, A., & van Amelsvoort, T. (2022) · Early Intervention in Psychiatry

Mental Health and Patient InvolvementMental Health Treatment and Access

Cited by 18

Computerised Decision-Support Tools in Diabetes Care: Hurdles to Implementation

Lehmann, E. D. (2004) · Diabetes Technology & Therapeutics

Electronic Health Records SystemsDiabetes Management and Research

Cited by 18

Deep learning in voice analysis for diagnosing vocal cord pathologies: a systematic review

Tessler, I., Primov-Fever, A., Soffer, S., Anteby, R., Gecel, N. A., Livneh, N., Alon, E. E., Zimlichman, E., & Klang, E. (2024) · European Archives of Oto-Rhino-Laryngology

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 18

Measuring the Completeness and Currency of Codified Clinical Information

Williams, J. G. (2003) · Methods of Information in Medicine

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 18

myPainPal: co-creation of a mHealth app for the management of chronic pain in young people

Cooke, M., Richards, J., Tjondronegoro, D., Raj Chakraborty, P., Jauncey-Cooke, J., Andresen, E., Theodoros, J., Paterson, R., Schults, J., Raithatha, B., et al. (2021) · Informatics for Health and Social Care

Mobile Health and mHealth ApplicationsPediatric Pain Management Techniques

Cited by 18

Asset-Based Community Development as a Strategy for Developing Local Global Health Curricula

Webber, S., Butteris, S. M., Houser, L., Coller, K., & Coller, R. J. (2018) · Academic Pediatrics

Health and Medical EducationCultural Competency in Health Care

Cited by 18

Use of Simulation to Study Nurses’ Acceptance and Nonacceptance of Clinical Decision Support Suggestions

SOUSA, V. E. C., LOPEZ, K. D., FEBRETTI, A., STIFTER, J., YAO, Y., JOHNSON, A., WILKIE, D. J., & KEENAN, G. M. (2015) · CIN: Computers, Informatics, Nursing

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 18

Effect of Muscle Tension Dysphonia on Self-perceived Voice Handicap and Multiparametric Measurement and Their Relation in Female Teachers

Aghadoost, S., Jalaie, S., Dabirmoghaddam, P., & Khoddami, S. M. (2022) · Journal of Voice

Voice and Speech DisordersRespiratory and Cough-Related Research

Cited by 18

Improving Web Searches: Case Study of Quit-Smoking Web Sites for Teenagers

Koo, M., & Skinner, H. (2003) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityInformation Retrieval and Search Behavior

Cited by 18

Have the completeness and accuracy of computer medical records in general practice improved in the last five years? The report of a two-practice pilot study

Thiru, K., de Lusignan, S., & Hague, N. (1999) · Health Informatics Journal

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 18

Exploring Context and the Factors Shaping Team-Based Primary Healthcare Policies in Three Canadian Provinces: A Comparative Analysis

Misfeldt, R., Suter, E., Mallinson, S., Boakye, O., Wong, S., & Nasmith, L. (2017) · Healthcare Policy | Politiques de Santé

Interprofessional Education and CollaborationPrimary Care and Health Outcomes

Cited by 18

Classism in pain assessment and management: the mediating role of female patient dehumanization and perceived life hardship

Bernardes, S. F., Tomé-Pires, C., Brandão, T., Campos, L., Teixeira, F., & Goubert, L. (2021) · Pain

Musculoskeletal pain and rehabilitationPatient-Provider Communication in Healthcare

Cited by 18

High prevalence of depression and sleep-wake disorders among female emergency medicine residents in South Korea

Lee, M. J., Nho, W. Y., Jung, H., Cho, J. W., Seo, J. S., Lee, H. M., Cho, K. H., Kim, Y. J., & Kim, J. K. (2022) · Annals of Medicine

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 18

The status of interprofessional education (IPE) at regional and global levels – update from 2022 global IPE situational analysis

Khalili, H., Lackie, K., Langlois, S., da Silva Souza, C. M., & Wetzlmair, L.-C. (2024) · Journal of Interprofessional Care

Interprofessional Education and CollaborationInterdisciplinary Research and Collaboration

Cited by 18

Objective prediction of pharyngeal swallow dysfunction in dysphagia through artificial neural network modeling

Kritas, S., Dejaeger, E., Tack, J., Omari, T., & Rommel, N. (2016) · Neurogastroenterology & Motility

Dysphagia Assessment and ManagementVoice and Speech Disorders

Cited by 18

Single Case Quantitative Methods for Practice‐Based Evidence

McMillan, D., & Morley, S. (2010) · Developing and Delivering Practice‐Based Evidence

Health Policy Implementation ScienceQualitative Comparative Analysis Research

Cited by 18

Burnout in Nurses Working With Youth With Chronic Pain: A Pilot Intervention

Rodrigues, N. P., Cohen, L. L., McQuarrie, S. C., & Reed-Knight, B. (2018) · Journal of Pediatric Psychology

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 18

Thyroid panel reference intervals in healthy children and adolescents: A Spanish cohort

Argente del Castillo, P., Pastor García, M. I., Morell-Garcia, D., Martinez-Gomez, L., Ballesteros, M. A., & Barcelo, A. (2021) · Clinical Biochemistry

Clinical Laboratory Practices and Quality ControlThyroid Disorders and Treatments

Cited by 18

Lived Experience–Led Research Agenda to Address Early Death in People With a Diagnosis of a Serious Mental Illness: A Consensus Statement

Fortuna, K. L., Lebby, S., Geiger, P., Johnson, D., MacDonald, S., Chefetz, I., Ferron, J. C., St George, L., Rossom, R., Kalisa, J., et al. (2023) · JAMA Network Open

Mental Health and Patient InvolvementMental Health Treatment and Access

Cited by 18