Check health professions papers: citations, claims and retractions

An evaluation of patient ownership and use and acceptability of smartphone technology within the emergency department

Summers, A. M., & Reed, M. J. (2018) · European Journal of Emergency Medicine

Mobile Health and mHealth ApplicationsEmergency and Acute Care Studies

Cited by 7

Examining burden among caregivers of community-dwelling older adults in Lebanon

Barakat, Z., Sacre, H., Khatib, S., Hajj, A., Bou Malham, C., Haddad, C., Akel, M., M. Zeenny, R., Abou Abbas, L., Barakat, M., et al. (2025) · Scientific Reports

Nursing care and researchIntergenerational Family Dynamics and Caregiving

Cited by 7

Building a Community-Centered Public Health Advocacy Training Program for Medical Students

Shankar, S., Phinney, R., Krapek, A., & Surapaneni, V. L. (2022) · Journal of Public Health Management & Practice

Health and Medical EducationInnovations in Medical Education

Cited by 7

Optimizing Clinical Diabetes Diagnosis through Generative Adversarial Networks: Evaluation and Validation

García-Domínguez, A., Galván-Tejada, C. E., Magallanes-Quintanar, R., Cruz, M., Gonzalez-Curiel, I., Delgado-Contreras, J. R., Soto-Murillo, M. A., Celaya-Padilla, J. M., & Galván-Tejada, J. I. (2023) · Diseases

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 7

Development of an evidence-based patient information medium: empowering newly diagnosed patients with primary biliary cirrhosis

Pearce, R. M., Jones, D. E., & Newton, J. L. (2011) · Journal of Visual Communication in Medicine

Patient-Provider Communication in HealthcareLiver Diseases and Immunity

Cited by 7

Evaluation of two virtual cursors for assisting web access to people with motor impairments

Pérez, J. E., Valencia, X., Arrue, M., & Abascal, J. (2019) · International Journal of Human-Computer Studies

Assistive Technology in Communication and MobilityGaze Tracking and Assistive Technology

Cited by 7

Determinants of developing cardiovascular disease risk with emphasis on type-2 diabetes and predictive modeling utilizing machine learning algorithms

Das, S., Rahman, R., & Talukder, A. (2024) · Medicine

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 7

Self-direction and the Social Determinants of Health

Croft, B. (2020) · Community Mental Health Journal

Mental Health and Patient InvolvementPsychiatric care and mental health services

Cited by 7

Deep Learning Model Approach to Predict Diabetes Type 2 Based on Clinical, Biochemical, and Gut Microbiota Profiles

Caballero-María, P., Caballero-Villarraso, J., Arenas-Montes, J., Díaz-Cáceres, A., Castañeda-Nieto, S., Alcalá-Díaz, J. F., Delgado-Lista, J., Rodríguez-Cantalejo, F., Pérez-Martínez, P., López-Miranda, J., et al. (2025) · Applied Sciences

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 7

Assessing the challenges to women’s access and implementation of text messages for nutrition behaviour change in rural Tanzania

Rothstein, J. D., Klemm, R., Niyeha, D., Smith, E., & Nordhagen, S. (2021) · Public Health Nutrition

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 7

Large cohort study finds a statistically significant association between excessive crying in early infancy and subsequent ear symptoms

Hestbaek, L., Sannes, M. M., & Lous, J. (2014) · Acta Paediatrica

Infant Health and DevelopmentEar Surgery and Otitis Media

Cited by 7

Análisis y evaluación del Modelo de Promoción de la Salud

Navarro-Rodríguez, D. C., Guevara-Valtier, M. C., & Paz-Morales, M. D. L. Á. (2023) · Temperamentvm

Health and Wellbeing ResearchMethodologies in Health Research and Practice

Cited by 7

Assessment of Resident Burnout After Formalization of Wellness Program

Schmeusser, B., Gauthier, Z., & Nagy, K. (2023) · Military Medicine

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 7

Effective behavioral change techniques in m-health app supported interventions for glycemic control among patients with type 2 diabetes: A meta-analysis and meta-regression analysis of randomized controlled trials

Liu, K., & Xia, Y. (2025) · Digital Health

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 7

“If there is a tension about something, I can solve it”: A qualitative investigation of change processes in a trial of brief problem‐solving interventions for common adolescent mental health problems in India

Malik, K., Parikh, R., Sahu, R., Sudhir, P., Fairburn, C. G., Patel, V., & Michelson, D. (2023) · Psychology and Psychotherapy: Theory, Research and Practice

Problem Solving Skills DevelopmentMental Health Treatment and Access

Cited by 7

Implementation Research Is Underdeveloped in Oral Health: Bridging the Gap

Tay, J. R. H., Bosworth, H. B., Fox, C. H., Gallagher, J. E., Jakubovics, N. S., Schwendicke, F., & Nascimento, G. G. (2026) · Journal of Dental Research

Health Policy Implementation ScienceDental Health and Care Utilization

Cited by 7

Changes in nursing home use following Medicaid-supported expanded access to home- and community-based services for older adults with dementia

Harrison, J. M., Sheng, F., Josberger, R. E., Liu, H. H., Stone, P. W., Luchsinger, J. A., & Dick, A. W. (2023) · JAMA Network Open

Geriatric Care and Nursing HomesHealthcare Policy and Management

Cited by 7

Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications

Souza, J., Caballero, I., Vasco Santos, J., Lobo, M., Pinto, A., Viana, J., Sáez, C., Lopes, F., & Freitas, A. (2022) · Journal of Biomedical Informatics

Medical Coding and Health InformationHealthcare Quality and Management

Cited by 7

Psychometric Properties of the Caregiver Inventory for Measuring Caregiving Self-Efficacy of Caregivers of Patients with Palliative Care Needs

Helen YL Chan, D. Y. L., Chan, C. W., Kwan, J. S., ZM Yau, S., KC Chiu, P., SK Lo, R., & LY Lee, L. (2017) · Neuropsychiatry

Nursing care and researchPalliative Care and End-of-Life Issues

Cited by 7

A qualitative study exploring the acceptability of the McNulty-Zelen design for randomised controlled trials evaluating educational interventions

on behalf of the CIRT study group, McNulty, C., Ricketts, E. J., Rugman, C., Hogan, A., Charlett, A., & Campbell, R. (2015) · BMC Family Practice

Health Policy Implementation ScienceStatistical Methods in Clinical Trials

Cited by 7

The Effects of Cognition and Vision While Walking in Younger and Older Adults

Pham, T., Suen, M., Cho, Y.-H., & Krishnan, V. (2024) · Sensors

Balance, Gait, and Falls PreventionCognitive Functions and Memory

Cited by 7

QUERI and implementation research: emerging from adolescence into adulthood: QUERI series.

Atkins, D. (2009) · Implementation Science

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 7

Exploring the key factors of old neighborhood environment affecting physical and mental health of the elderly in skipped-generation household using an RST-DEMATEL model

Zhu, Y., Zhu, B.-W., Te, Y., Badarulzaman, N. B., & Xiong, L. (2023) · Systems

Aging, Elder Care, and Social IssuesAging, Health, and Disability

Cited by 7

Efecto de una intervención educativa para cuidadores familiares de personas con cáncer en cirugía

Carrillo, G. M., Laguna, M. D. L. L., Gómez, O. J., Chaparro Díaz, L., & Carreño, S. P. (2021) · Enfermería Global

Nursing care and researchCancer survivorship and care

Cited by 7