Check health professions papers: citations, claims and retractions

Social accountability in action: University-community collaboration in the development of an interprofessional Aboriginal health elective

Jarvis-Selinger, S., Ho, K., Novak Lauscher, H., Liman, Y., Stacy, E., Woollard, R., & Buote, D. (2008) · Journal of Interprofessional Care

Interprofessional Education and CollaborationIndigenous Health, Education, and Rights

Cited by 38

Online and in-person health-seeking for infertility

Slauson-Blevins, K. S., McQuillan, J., & Greil, A. L. (2013) · Social Science & Medicine

Health Literacy and Information AccessibilityReproductive Health and Technologies

Cited by 38

Clinical decision support for therapeutic decision-making in cancer: a systematic review

Beauchemin, M., Murray, M. T., Sung, L., Hershman, D. L., Weng, C., & Schnall, R. (2019) · International Journal of Medical Informatics

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 38

Co-Design for Participatory Neurodiversity Research: Collaborating With a Community Advisory Board to Design a Research Study

Le Cunff, A.-L., Ellis Logan, P., Ford, R., Martis, B.-L., Mousset, I., Sekibo, J., Dommett, E., & Giampietro, V. (2023) · Journal of Participatory Research Methods

Mental Health and Patient InvolvementCommunity Health and Development

Cited by 38

Can Mobile Technology Improve Weight Loss in Overweight Adults? A Systematic Review

Wang, E., Abrahamson, K., Liu, P. J., & Ahmed, A. (2020) · Western Journal of Nursing Research

Mobile Health and mHealth ApplicationsMobile Learning in Education

Cited by 38

Navigating Evidence-Based Information Sources in Augmentative and Alternative Communication

Schlosser, R. W., & Sigafoos, J. (2009) · Augmentative and Alternative Communication

Health Sciences Research and EducationAssistive Technology in Communication and Mobility

Cited by 38

Patient adherence to an exercise program for chronic low back pain measured by patient-report, physiotherapist-perception and observational data

Peek, K., Carey, M., Mackenzie, L., & Sanson-Fisher, R. (2019) · Physiotherapy Theory and Practice

Musculoskeletal pain and rehabilitationMedication Adherence and Compliance

Cited by 38

Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial

Cunningham, J. W., Singh, P., Reeder, C., Claggett, B., Marti-Castellote, P. M., Lau, E. S., Khurshid, S., Batra, P., Lubitz, S. A., Maddah, M., et al. (2024) · JAMA Cardiology

Artificial Intelligence in HealthcareHeart Failure Treatment and Management

Cited by 38

Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study

Jeon, E., & Park, H.-A. (2019) · JMIR Diabetes

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 38

Group membership and staff turnover affect outcomes in group CBT for persistent pain

de C. Williams, A. C., & Potts, H. W. W. (2010) · Pain

Musculoskeletal pain and rehabilitationPsychotherapy Techniques and Applications

Cited by 38

Web-Based Tools for Text-Based Patient-Provider Communication in Chronic Conditions: Scoping Review

Voruganti, T., Grunfeld, E., Makuwaza, T., & Bender, J. L. (2017) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 38

The interactive systems framework for dissemination and implementation: enhancing the opportunity for implementation science

Chambers, D. A. (2012) · American Journal of Community Psychology

Health Policy Implementation ScienceCommunity Health and Development

Cited by 38

The TrueBlue study: Is practice nurse-led collaborative care effective in the management of depression for patients with heart disease or diabetes?

Morgan, M., Dunbar, J., Reddy, P., Coates, M., & Leahy, R. (2009) · BMC Family Practice

Nursing Roles and PracticesDiabetes Management and Education

Cited by 38

Technology‐enhanced writing therapy for people with aphasia: results of a quasi‐randomized waitlist controlled study

Marshall, J., Caute, A., Chadd, K., Cruice, M., Monnelly, K., Wilson, S., & Woolf, C. (2019) · International Journal of Language & Communication Disorders

Assistive Technology in Communication and MobilityNeurobiology of Language and Bilingualism

Cited by 38

An investigation into the use of infant feeding tracker apps by breastfeeding mothers

Dienelt, K., Moores, C. J., Miller, J., & Mehta, K. (2020) · Health Informatics Journal

Mobile Health and mHealth ApplicationsBreastfeeding Practices and Influences

Cited by 38

Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study

Hansen, A. H., Bradway, M., Broz, J., Claudi, T., Henriksen, Ø., Wangberg, S. C., & Årsand, E. (2019) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityMobile Health and mHealth Applications

Cited by 38

Visual-vestibular control of posture and gait: Physiological mechanisms and disorders

Bronstein, A. M., & Guerraz, M. (1999) · Current Opinion in Neurology

Balance, Gait, and Falls PreventionVestibular and auditory disorders

Cited by 38

Perceived Increase in Mortality After Process and Policy Changes Implemented With Computerized Physician Order Entry

Rosenbloom, S. T., Harrell, F. E., Lehmann, C. U., Schneider, J. H., Spooner, S. A., & Johnson, K. B. (2006) · Pediatrics

Electronic Health Records SystemsHospital Admissions and Outcomes

Cited by 38

Telemonitoring in Chronic Pain Management Using Smartphone Apps: A Randomized Controlled Trial Comparing Usual Assessment against App-Based Monitoring with and without Clinical Alarms

Suso-Ribera, C., Castilla, D., Zaragozá, I., Mesas, Á., Server, A., Medel, J., & García-Palacios, A. (2020) · International Journal of Environmental Research and Public Health

Mobile Health and mHealth ApplicationsMusculoskeletal pain and rehabilitation

Cited by 38

Firm, yet flexible: a fidelity debate paper with two case examples

Albers, B., Verweij, L., Blum, K., Oesch, S., Schultes, M.-T., Clack, L., & Naef, R. (2024) · Implementation Science

Health Policy Implementation ScienceEvaluation and Performance Assessment

Cited by 37

Stages of change in readiness to adopt a self-management approach to chronic pain: the moderating role of early-treatment stage progression in predicting outcome

Burns, J. W., Glenn, B., Lofland, K., Bruehl, S., & Harden, N. R. (2005) · Pain

Musculoskeletal pain and rehabilitationBehavioral Health and Interventions

Cited by 37

Evaluation of generic medical information accessed via mobile phones at the point of care in resource-limited settings

Goldbach, H., Chang, A. Y., Kyer, A., Ketshogileng, D., Taylor, L., Chandra, A., Dacso, M., Kung, S.-J., Rijken, T., Fontelo, P., et al. (2014) · Journal of the American Medical Informatics Association

Mobile Health and mHealth ApplicationsMobile Learning in Education

Cited by 37

Use of Short Messaging Service for Hypertension Management: A Systematic Review

Vargas, G., Cajita, M. I., Whitehouse, E., & Han, H.-R. (2017) · Journal of Cardiovascular Nursing

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 37

Addressing the sociotechnical drivers of quality improvement: a case study of post-operative DVT prophylaxis computerised decision support

Lesselroth, B. J., Yang, J., McConnachie, J., Brenk, T., & Winterbottom, L. (2011) · BMJ Quality & Safety

Electronic Health Records SystemsHealth Policy Implementation Science

Cited by 37