Check health professions papers: citations, claims and retractions

Potential risks of pharmacy compounding

Gudeman, J., Jozwiakowski, M., Chollet, J., & Randell, M. (2013) · Drugs in R&D

Pharmacy and Medical PracticesPharmaceutical Quality and Counterfeiting

Cited by 196

Mobile phone use among patients and health workers to enhance primary healthcare: a qualitative study in rural South Africa

Anstey Watkins, J. O. T., Goudge, J., Gómez-Olivé, F. X., & Griffiths, F. (2018) · Social Science & Medicine

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 196

A systematic review of bio-psychosocial risk factors for an unfavourable outcome after lumbar disc surgery

den Boer, J. J., Oostendorp, R. A. B., Beems, T., Munneke, M., Oerlemans, M., & Evers, A. W. M. (2006) · European Spine Journal

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 196

What is usual care for low back pain? A systematic review of health care provided to patients with low back pain in family practice and emergency departments

Kamper, S. J., Logan, G., Copsey, B., Thompson, J., Machado, G. C., Abdel-Shaheed, C., Williams, C. M., Maher, C. G., & Hall, A. M. (2020) · Pain

Musculoskeletal pain and rehabilitationHealthcare cost, quality, practices

Cited by 196

Social networks – the future for health care delivery

Griffiths, F., Cave, J., Boardman, F., Ren, J., Pawlikowska, T., Ball, R., Clarke, A., & Cohen, A. (2012) · Social Science & Medicine

Health Literacy and Information AccessibilitySocial Media in Health Education

Cited by 196

Contributions of psychology to the understanding and treatment of people with chronic pain: Why it matters to ALL psychologists

Jensen, M. P., & Turk, D. C. (2014) · American Psychologist

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 196

Communicative styles and adaptations in physician–parent consultations

Street, R. L. (1992) · Social Science & Medicine

Patient-Provider Communication in HealthcareEmpathy and Medical Education

Cited by 196

Patient and Public Involvement in Patient-Reported Outcome Measures: Evolution Not Revolution

Staniszewska, S., Haywood, K. L., Brett, J., & Tutton, L. (2012) · The Patient: Patient-Centered Outcomes Research

Mental Health and Patient InvolvementHealth Education and Validation

Cited by 196

A short message service by cellular phone in type 2 diabetic patients for 12 months

Yoon, K.-H., & Kim, H.-S. (2008) · Diabetes Research and Clinical Practice

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 196

A systematic review of workplace interventions to prevent low back pain

Maher, C. G. (2000) · Australian Journal of Physiotherapy

Musculoskeletal pain and rehabilitationOccupational Health and Safety in Workplaces

Cited by 196

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

Wieland, L. S., Falzon, L., Sciamanna, C. N., Trudeau, K. J., Brodney Folse, S., Schwartz, J. E., & Davidson, K. W. (2012) · Cochrane Database of Systematic Reviews

Mobile Health and mHealth ApplicationsObesity, Physical Activity, Diet

Cited by 195

Recovery and serious mental illness: a review of current clinical and research paradigms and future directions.

Leonhardt, B. L., Huling, K., Hamm, J. A., Roe, D., Hasson-Ohayon, I., McLeod, H. J., & Lysaker, P. H. (2017) · Expert Review of Neurotherapeutics

Mental Health and Patient InvolvementSchizophrenia research and treatment

Cited by 195

Disease inference from health-related questions via sparse deep learning

Nie, L., Wang, M., Zhang, L., Yan, S., Zhang, B., & Chua, T.-S. (2015) · IEEE Transactions on Knowledge and Data Engineering

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 195

Moving innovations into treatment: A stage-based approach to program change

Simpson, D. D., & Flynn, P. M. (2007) · Journal of Substance Abuse Treatment

Health Policy Implementation ScienceSubstance Abuse Treatment and Outcomes

Cited by 195

Rates and Determinants of Repeated Participation in a Web-Based Behavior Change Program for Healthy Body Weight and Healthy Lifestyle

Verheijden, M. W., Jans, M. P., Hildebrandt, V. H., & Hopman-Rock, M. (2007) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsHealth Literacy and Information Accessibility

Cited by 195

The evolving definition of physical fitness

Pate, R. R. (1988) · Quest

Physical Education and Training StudiesPhysical Activity and Health

Cited by 194

Reliability of the 400-m usual pace walk test as an assessment of mobility limitation in older adults

Rolland, Y. M., Cesari, M., Miller, M. E., Penninx, B. W., Atkinson, H. H., & Pahor, M. (2004) · Journal of the American Geriatrics Society

Balance, Gait, and Falls PreventionFrailty in Older Adults

Cited by 194

Estimating the clinical effectiveness of cognitive behavioural therapy in the clinic: Evaluation of a CBT informed pain management programme

Morley, S., Williams, A., & Hussain, S. (2008) · Pain

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 194

Is it worth it? Patient and public views on the impact of their involvement in health research and its assessment: a UK‐based qualitative interview study

Crocker, J. C., Boylan, A., Bostock, J., & Locock, L. (2017) · Health Expectations

Mental Health and Patient InvolvementCommunity Health and Development

Cited by 194

Analytical performance characteristics should be judged against objective quality specifications

Fraser, C. G., & Petersen, P. H. (1999) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlScientific Measurement and Uncertainty Evaluation

Cited by 194

The suicide prevention and depression awareness program at the University of California, San Diego School of Medicine

Moutier, C., Norcross, W., Jong, P., Norman, M., Kirby, B., McGuire, T., & Zisook, S. (2012) · Academic Medicine

Healthcare professionals’ stress and burnoutSuicide and Self-Harm Studies

Cited by 194

Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review

Belić, M., Bobić, V., Badža, M., Šolaja, N., Đurić-Jovičić, M., & Kostić, V. S. (2019) · Clinical Neurology and Neurosurgery

Artificial Intelligence in HealthcareParkinson's Disease Mechanisms and Treatments

Cited by 194

The Relationship between Electronic Health Record Use and Quality of Care over Time

Zhou, L., Soran, C. S., Jenter, C. A., Volk, L. A., Orav, E. J., Bates, D. W., & Simon, S. R. (2009) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 194

Immediate effects of speed-dependent treadmill training on gait parameters in early Parkinson’s disease11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

Pohl, M., Rockstroh, G., Rückriem, S., Mrass, G., & Mehrholz, J. (2003) · Archives of Physical Medicine and Rehabilitation

Balance, Gait, and Falls PreventionStroke Rehabilitation and Recovery

Cited by 194