Check health professions papers: citations, claims and retractions

The interdependent roles of patients, families and professionals in cystic fibrosis: a system for the coproduction of healthcare and its improvement

Sabadosa, K. A., & Batalden, P. B. (2014) · BMJ Quality & Safety

Mental Health and Patient InvolvementCystic Fibrosis Research Advances

Cited by 79

A scoping review of strategies for financing the implementation of evidence-based practices in behavioral health systems: State of the literature and future directions

Dopp, A. R., Narcisse, M.-R., Mundey, P., Silovsky, J. F., Smith, A. B., Mandell, D., Funderburk, B. W., Powell, B. J., Schmidt, S., Edwards, D., et al. (2020) · Implementation Research and Practice

Health Policy Implementation ScienceHealthcare Policy and Management

Cited by 79

Interpreting method comparison studies by use of the Bland-Altman plot: reflecting the importance of sample size by incorporating confidence limits and predefined error limits in the graphic

Stöckl, D., Rodríguez Cabaleiro, D., Van Uytfanghe, K., & Thienpont, L. M. (2004) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlReliability and Agreement in Measurement

Cited by 79

An Ontology-Based Interpretable Fuzzy Decision Support System for Diabetes Diagnosis

El-Sappagh, S., Alonso, J. M., Ali, F., Ali, A., Jang, J.-H., & Kwak, K.-S. (2018) · IEEE Access

Artificial Intelligence in HealthcareFuzzy Logic and Control Systems

Cited by 79

From headache to tumour: an examination of health anxiety, health-related internet use and “query escalation”

Singh, K., & Brown, R. J. (2016) · Journal of Health Psychology

Health Literacy and Information AccessibilityInformation Retrieval and Search Behavior

Cited by 78

Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management

Laka, M., Milazzo, A., & Merlin, T. (2021) · International Journal of Environmental Research and Public Health

Electronic Health Records SystemsAntibiotic Use and Resistance

Cited by 78

Voice Analysis for Neurological Disorder Recognition–A Systematic Review and Perspective on Emerging Trends

Hecker, P., Steckhan, N., Eyben, F., Schuller, B. W., & Arnrich, B. (2022) · Frontiers in Digital Health

Voice and Speech DisordersEmotion and Mood Recognition

Cited by 78

Using a Spanish surname match to improve identification of Hispanic women in Medicare administrative data

Wei, I. I., Virnig, B. A., John, D. A., & Morgan, R. O. (2006) · Health Services Research

Medical Coding and Health InformationCensus and Population Estimation

Cited by 78

Implementing integrated community case management during conflict in Yemen

Miller, N. P., Zunong, N., Al-Sorouri, T. A. A., Alqadasi, Y. M., Ashraf, S., & Siameja, C. (2020) · Journal of Global Health

Health and Conflict StudiesGlobal Maternal and Child Health

Cited by 78

Gender differences in surgeon burnout and barriers to career satisfaction: a qualitative exploration

Lu, P. W., Columbus, A. B., Fields, A. C., Melnitchouk, N., & Cho, N. L. (2020) · Journal of Surgical Research

Healthcare professionals’ stress and burnoutDiversity and Career in Medicine

Cited by 78

Using the Internet to Provide Information Prescriptions

Ritterband, L. M., Borowitz, S., Cox, D. J., Kovatchev, B., Walker, L. S., Lucas, V., & Sutphen, J. (2005) · Pediatrics

Health Literacy and Information AccessibilityElectronic Health Records Systems

Cited by 78

Personalised eHealth interventions in adults with overweight and obesity: A systematic review and meta-analysis of randomised controlled trials

Lau, Y., Chee, D. G. H., Chow, X. P., Cheng, L. J., & Wong, S. N. (2020) · Preventive Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 78

Challenging rehabilitation environment for older patients

Tijsen, L. M., Derksen, E. W., Achterberg, W. P., & Buijck, B. I. (2019) · Clinical Interventions in Aging

Medical Practices and RehabilitationStroke Rehabilitation and Recovery

Cited by 78

Digital health literacy, online information-seeking behaviour, and satisfaction of Covid-19 information among the university students of East and South-East Asia

Htay, M. N. N., Parial, L. L., Tolabing, M. C., Dadaczynski, K., Okan, O., Leung, A. Y. M., & Su, T. T. (2022) · PLOS ONE

Health Literacy and Information AccessibilityCommunication and COVID-19 Impact

Cited by 78

Self-tracking of Physical Activity in People With Type 2 Diabetes: A Randomized Controlled Trial

Kooiman, T. J. M., de Groot, M., Hoogenberg, K., Krijnen, W. P., van der Schans, C. P., & Kooy, A. (2018) · CIN: Computers, Informatics, Nursing

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 78

Adaptation to Hand Injury: An Evolving Experience

Chan, J., & Spencer, J. (2004) · American Journal of Occupational Therapy

Occupational Therapy Practice and ResearchMedical Practices and Rehabilitation

Cited by 78

Changes in masseter muscle trigger points following strain-counterstrain or neuro-muscular technique

Ibáñez-García, J., Alburquerque-Sendín, F., Rodríguez-Blanco, C., Girao, D., Atienza-Meseguer, A., Planella-Abella, S., & Fernández-de-las Peñas, C. (2009) · Journal of Bodywork and Movement Therapies

Myofascial pain diagnosis and treatmentTemporomandibular Joint Disorders

Cited by 78

Recovery from Severe Mental Health Problems: A Systematic Review of Service User and Informal Caregiver Perspectives

Vera San Juan, N., Gronholm, P. C., Heslin, M., Lawrence, V., Bain, M., Okuma, A., & Evans-Lacko, S. (2021) · Frontiers in Psychiatry

Mental Health and Patient InvolvementPsychiatric care and mental health services

Cited by 78

Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study

Abdalrada, A. S., Abawajy, J., Al-Quraishi, T., & Islam, S. M. S. (2022) · Journal of Diabetes & Metabolic Disorders

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 78

Internet Use Frequency and Patient-Centered Care: Measuring Patient Preferences for Participation Using the Health Information Wants Questionnaire

Xie, B., Wang, M., Feldman, R., & Zhou, L. (2013) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityPatient-Provider Communication in Healthcare

Cited by 78

Digital Solutions for Community and Primary Health Workers: Lessons From Implementations in Africa

Owoyemi, A., Osuchukwu, J. I., Azubuike, C., Ikpe, R. K., Nwachukwu, B. C., Akinde, C. B., Biokoro, G. W., Ajose, A. B., Nwokoma, E. I., Mfon, N. E., et al. (2022) · Frontiers in Digital Health

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 78

CDSS-RM: a clinical decision support system reference model

Zikos, D., & DeLellis, N. (2018) · BMC Medical Research Methodology

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 78

User-Centered Design of a Mobile Health Intervention to Enhance Exacerbation-Related Self-Management in Patients With Chronic Obstructive Pulmonary Disease (Copilot): Mixed Methods Study

Korpershoek, Y. J. G., Hermsen, S., Schoonhoven, L., Schuurmans, M. J., & Trappenburg, J. C. A. (2020) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsChronic Obstructive Pulmonary Disease (COPD) Research

Cited by 78

New Words: The Communication of Students with Autism

Biklen, D., & Schubert, A. (1991) · Remedial and Special Education

Assistive Technology in Communication and MobilityAutism Spectrum Disorder Research

Cited by 78