Check health professions papers: citations, claims and retractions

Assessment of physical function and participation in chronic pain clinical trials: IMMPACT/OMERACT recommendations

Taylor, A. M., Phillips, K., Patel, K. V., Turk, D. C., Dworkin, R. H., Beaton, D., Clauw, D. J., Gignac, M. A. M., Markman, J. D., Williams, D. A., et al. (2016) · Pain

Musculoskeletal pain and rehabilitationPain Management and Opioid Use

Cited by 208

Nurses’ perceptions of the impact of electronic health records on work and patient outcomes

KOSSMAN, S. P., & SCHEIDENHELM, S. L. (2008) · CIN: Computers, Informatics, Nursing

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 208

Multiple Behavior Changes in Diet and Activity: A Randomized Controlled Trial Using Mobile Technology

Spring, B., Schneider, K., McFadden, H. G., Vaughn, J., Kozak, A. T., Smith, M., Moller, A. C., Epstein, L. H., DeMott, A., Hedeker, D., et al. (2012) · Archives of Internal Medicine

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 208

Mobile app for improved self-management of type 2 diabetes: Multicenter pragmatic randomized controlled trial

Agarwal, P., Mukerji, G., Desveaux, L., Ivers, N. M., Bhattacharyya, O., Hensel, J. M., Shaw, J., Bouck, Z., Jamieson, T., Onabajo, N., et al. (2019) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 208

Whole Body Vibration Versus Conventional Physiotherapy to Improve Balance and Gait in Parkinson’s Disease

Ebersbach, G., Edler, D., Kaufhold, O., & Wissel, J. (2008) · Archives of Physical Medicine and Rehabilitation

Balance, Gait, and Falls PreventionEffects of Vibration on Health

Cited by 208

Review of Computer-generated Outpatient Health Behavior Interventions: Clinical Encounters "in Absentia"

Revere, D., & Dunbar, P. J. (2001) · Journal of the American Medical Informatics Association

Mobile Health and mHealth ApplicationsBehavioral Health and Interventions

Cited by 208

Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks

Uyar, K., & İlhan, A. (2017) · Procedia Computer Science

Artificial Intelligence in HealthcareFuzzy Logic and Control Systems

Cited by 208

Evaluating patient and public involvement in research

Boivin, A., Richards, T., Forsythe, L., Grégoire, A., L’Espérance, A., Abelson, J., & Carman, K. L. (2018) · BMJ

Mental Health and Patient InvolvementCommunity Health and Development

Cited by 208

Can Artificial Intelligence Improve the Readability of Patient Education Materials?

Kirchner, G. J., Kim, R. Y., Weddle, J. B., & Bible, J. E. (2023) · Clinical Orthopaedics & Related Research

Health Literacy and Information AccessibilityText Readability and Simplification

Cited by 208

Approved IFCC recommendation on reporting results for blood glucose (abbreviated)

D'Orazio, P. (2005) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlDiabetes Management and Research

Cited by 208

Use of a patient-accessible electronic medical record in a practice for congestive heart failure: patient and physician experiences

Earnest, M. A., Ross, S. E., Wittevrongel, L., Moore, L. A., & Lin, C.-T. (2004) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealth Literacy and Information Accessibility

Cited by 207

A review of social participation interventions for people with mental health problems

Webber, M., & Fendt-Newlin, M. (2017) · Social Psychiatry and Psychiatric Epidemiology

Mental Health and Patient InvolvementPsychiatric care and mental health services

Cited by 207

Text Messaging and Mobile Phone Apps as Interventions to Improve Adherence in Adolescents With Chronic Health Conditions: A Systematic Review

Badawy, S. M., Barrera, L., Sinno, M. G., Kaviany, S., O’Dwyer, L. C., & Kuhns, L. M. (2017) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 207

Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey

Zhang, Y., Liu, C., Luo, S., Xie, Y., Liu, F., Li, X., & Zhou, Z. (2019) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsTechnology Adoption and User Behaviour

Cited by 207

The GATE frame: critical appraisal with pictures

Jackson, R. (2006) · Evidence-Based Medicine

Health Sciences Research and EducationMeta-analysis and systematic reviews

Cited by 207

Framing the doctor‐patient relationship in chronic illness: a comparative study of general practitioners’ accounts

May, C., Allison, G., Chapple, A., Chew‐Graham, C., Dixon, C., Gask, L., Graham, R., Rogers, A., & Roland, M. (2004) · Sociology of Health & Illness

Patient-Provider Communication in HealthcarePrimary Care and Health Outcomes

Cited by 207

Can an accelerometer enhance the utility of the Timed Up & Go Test when evaluating patients with Parkinson's disease?

Weiss, A., Herman, T., Plotnik, M., Brozgol, M., Maidan, I., Giladi, N., Gurevich, T., & Hausdorff, J. M. (2010) · Medical Engineering & Physics

Balance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

Cited by 207

An update of stabilisation exercises for low back pain: a systematic review with meta-analysis

Smith, B. E., Littlewood, C., & May, S. (2014) · BMC Musculoskeletal Disorders

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 207

Subgrouping low back pain: a comparison of the STarT Back Tool with the Orebro Musculoskeletal Pain Screening Questionnaire

Hill, J. C., Dunn, K. M., Main, C. J., & Hay, E. M. (2010) · European Journal of Pain

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 207

An analysis of electronic health record-related patient safety concerns

Meeks, D. W., Smith, M. W., Taylor, L., Sittig, D. F., Scott, J. M., & Singh, H. (2014) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 207

Exercises for prevention of recurrences of low-back pain

Choi, B. K., Verbeek, J. H., Tam, W. W.-S., & Jiang, J. Y. (2010) · Cochrane Database of Systematic Reviews

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 207

Patient-physician role relationships and patient activation among individuals with chronic illness

Alexander, J. A., Hearld, L. R., Mittler, J. N., & Harvey, J. (2012) · Health Services Research

Patient-Provider Communication in HealthcarePrimary Care and Health Outcomes

Cited by 206

Can a Back Pain E-mail Discussion Group Improve Health Status and Lower Health Care Costs?: A Randomized Study

Lorig, K. R., Laurent, D. D., Deyo, R. A., Marnell, M. E., Minor, M. A., & Ritter, P. L. (2002) · Archives of Internal Medicine

Health Literacy and Information AccessibilityMusculoskeletal pain and rehabilitation

Cited by 206

Burnout Rate and Risk Factors among Anesthesiologists in the United States

Afonso, A. M., Cadwell, J. B., Staffa, S. J., Zurakowski, D., & Vinson, A. E. (2021) · Anesthesiology

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 206