Check health professions papers: citations, claims and retractions

A health app developer’s guide to law and policy: a multi-sector policy analysis

Parker, L., Karliychuk, T., Gillies, D., Mintzes, B., Raven, M., & Grundy, Q. (2017) · BMC Medical Informatics and Decision Making

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 71

Population-based survey methods to quantify associations between human rights violations and health outcomes among internally displaced persons in eastern Burma.

Mullany, L. C., Richards, A. K., Lee, C. I., Suwanvanichkij, V., Maung, C., Mahn, M., Beyrer, C., & Lee, T. J. (2007) · Journal of Epidemiology and Community Health

Health and Conflict StudiesAsian Geopolitics and Ethnography

Cited by 71

Acoustic Measures of Voice and Physiologic Measures of Autonomic Arousal during Speech as a Function of Cognitive Load

MacPherson, M. K., Abur, D., & Stepp, C. E. (2017) · Journal of Voice

Voice and Speech DisordersPhonetics and Phonology Research

Cited by 71

A randomised-controlled trial of two educational modes for undergraduate evidence-based medicine learning in Asia

Johnston, J. M., Schooling, C. M., & Leung, G. M. (2009) · BMC Medical Education

Health Sciences Research and EducationProblem and Project Based Learning

Cited by 71

Development and initial validation of the activity patterns scale in patients with chronic pain

Esteve, R., Ramírez-Maestre, C., Peters, M. L., Serrano-Ibáñez, E. R., Ruíz-Párraga, G. T., & López-Martínez, A. E. (2016) · The Journal of Pain

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 71

Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models

Hsieh, M. H., Sun, L.-M., Lin, C.-L., Hsieh, M.-J., Hsu, C.-Y., & Kao, C.-H. (2018) · Cancer Management and Research

Artificial Intelligence in HealthcarePancreatic and Hepatic Oncology Research

Cited by 71

Nutrition, Behavior Change and Physical Activity Outcomes From the PEARS RCT—An mHealth-Supported, Lifestyle Intervention Among Pregnant Women With Overweight and Obesity

Ainscough, K. M., O'Brien, E. C., Lindsay, K. L., Kennelly, M. A., O'Sullivan, E. J., O'Brien, O. A., McCarthy, M., De Vito, G., & McAuliffe, F. M. (2020) · Frontiers in Endocrinology

Mobile Health and mHealth ApplicationsGestational Diabetes Research and Management

Cited by 71

Do within-session changes in pain intensity and range of motion predict between-session changes in patients with low back pain?

Hahne, A. J., Keating, J. L., & Wilson, S. C. (2004) · Australian Journal of Physiotherapy

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 71

Combining PPI with qualitative research to engage ‘harder-to-reach’ populations: service user groups as co-applicants on a platform study for a trial

on behalf of the ‘BIBS’ study team, Morgan, H., Thomson, G., Crossland, N., Dykes, F., & Hoddinott, P. (2016) · Research Involvement and Engagement

Mental Health and Patient InvolvementCommunity Health and Development

Cited by 71

A comparison of two muscle energy techniques for increasing flexibility of the hamstring muscle group

Smith, M., & Fryer, G. (2008) · Journal of Bodywork and Movement Therapies

Myofascial pain diagnosis and treatmentMusculoskeletal pain and rehabilitation

Cited by 71

Prognostic factors for perceived recovery or functional improvement in non-specific low back pain: secondary analyses of three randomized clinical trials

Helmhout, P. H., Staal, J. B., Heymans, M. W., Harts, C. C., Hendriks, E. J. M., & de Bie, R. A. (2010) · European Spine Journal

Musculoskeletal pain and rehabilitationMedical Practices and Rehabilitation

Cited by 71

Effect of CPOE User Interface Design on User-Initiated Access to Educational and Patient Information during Clinical Care

Rosenbloom, S. T., Geissbuhler, A. J., Dupont, W. D., Giuse, D. A., Talbert, D. A., Tierney, W. M., Plummer, W. D., Stead, W. W., & Miller, R. A. (2005) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 71

One-Year Follow-Up in Employees Sick-Listed Because of Low Back Pain: Randomized Clinical Trial Comparing Multidisciplinary and Brief Intervention

Jensen, C., Jensen, O. K., Christiansen, D. H., & Nielsen, C. V. (2011) · Spine

Musculoskeletal pain and rehabilitationMedical Practices and Rehabilitation

Cited by 71

Direct enzymatic assay for %HbA1c in human whole blood samples

Liu, L., Hood, S., Wang, Y., Bezverkov, R., Dou, C., Datta, A., & Yuan, C. (2008) · Clinical Biochemistry

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 71

Pain neuroscience education combined with therapeutic exercises provides added benefit in the treatment of chronic neck pain

Javdaneh, N., Saeterbakken, A. H., Shams, A., & Barati, A. H. (2021) · International Journal of Environmental Research and Public Health

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 71

Incorporating Geospatial Capacity within Clinical Data Systems to Address Social Determinants of Health

Comer, K. F., Grannis, S., Dixon, B. E., Bodenhamer, D. J., & Wiehe, S. E. (2011) · Public Health Reports®

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 71

The Prevalence of Burnout Among US Neurosurgery Residents

Shakir, H. J., McPheeters, M. J., Shallwani, H., Pittari, J. E., & Reynolds, R. M. (2018) · Neurosurgery

Healthcare professionals’ stress and burnoutDiversity and Career in Medicine

Cited by 71

Age differences in credibility judgments of online health information

Liao, Q. V., & Fu, W.-T. (2014) · ACM Transactions on Computer-Human Interaction

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 71

Combating non-communicable diseases: potentials and challenges for community health workers in a digital age, a narrative review of the literature

Mishra, S. R., Lygidakis, C., Neupane, D., Gyawali, B., Uwizihiwe, J. P., Virani, S. S., Kallestrup, P., & Miranda, J. J. (2019) · Health Policy and Planning

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 71

Deep learning evaluation of biomarkers from echocardiogram videos

Hughes, J. W., Yuan, N., He, B., Ouyang, J., Ebinger, J., Botting, P., Lee, J., Theurer, J., Tooley, J. E., Nieman, K., et al. (2021) · EBioMedicine

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 71

Leadership Development Strategies in Interprofessional Healthcare Collaboration: A Rapid Review

Bornman, J., & Louw, B. (2023) · Journal of Healthcare Leadership

Interprofessional Education and CollaborationInnovations in Medical Education

Cited by 71

LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia

Goodman, S. M., Buehler, E., Clary, P., Coenen, A., Donsbach, A., Horne, T. N., Lahav, M., MacDonald, R., Michaels, R. B., Narayanan, A., et al. (2022) · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility

Assistive Technology in Communication and MobilityDigital Accessibility for Disabilities

Cited by 71

The internet user profile of Italian families of patients with rare diseases: a web survey

Tozzi, A. E., Mingarelli, R., Agricola, E., Gonfiantini, M., Pandolfi, E., Carloni, E., Gesualdo, F., & Dallapiccola, B. (2013) · Orphanet Journal of Rare Diseases

Health Literacy and Information AccessibilitySocial Media in Health Education

Cited by 71

Validation of 5 routine assays for serum free testosterone with a candidate reference measurement procedure based on ultrafiltration and isotope dilution–gas chromatography–mass spectrometry

Van Uytfanghe, K., Stöckl, D., Kaufman, J. M., Fiers, T., De Leenheer, A., & Thienpont, L. M. (2005) · Clinical Biochemistry

Clinical Laboratory Practices and Quality ControlHormonal and reproductive studies

Cited by 71