Check health professions papers: citations, claims and retractions

Health outcomes assessment in vulnerable populations: measurement challenges and recommendations

Hahn, E. A., & Cella, D. (2003) · Archives of Physical Medicine and Rehabilitation

Health Literacy and Information AccessibilityInterpreting and Communication in Healthcare

Cited by 133

Evaluation of a Treatment-Based Classification Algorithm for Low Back Pain: A Cross-Sectional Study

Stanton, T. R., Fritz, J. M., Hancock, M. J., Latimer, J., Maher, C. G., Wand, B. M., & Parent, E. C. (2011) · Physical Therapy

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 133

Does the peak-end phenomenon observed in laboratory pain studies apply to real-world pain in rheumatoid arthritics?

Stone, A. A., Broderick, J. E., Kaell, A. T., DelesPaul, P. A. E. G., & Porter, L. E. (2000) · The Journal of Pain

Musculoskeletal pain and rehabilitationPain Mechanisms and Treatments

Cited by 133

Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review

Lee, T. C., Shah, N. U., Haack, A., & Baxter, S. L. (2020) · Informatics

Electronic Health Records SystemsMachine Learning in Healthcare

Cited by 133

The prevalence of chronic pain in young adults: a systematic review and meta-analysis

Murray, C. B., de la Vega, R., Murphy, L. K., Kashikar-Zuck, S., & Palermo, T. M. (2022) · Pain

Musculoskeletal pain and rehabilitationPediatric Pain Management Techniques

Cited by 133

Technology and diabetes self-management: an integrative review

Hunt, C. W. (2015) · World Journal of Diabetes

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 133

The unpredictable journeys of spreading, sustaining and scaling healthcare innovations: a scoping review

Côté-Boileau, É., Denis, J.-L., Callery, B., & Sabean, M. (2019) · Health Research Policy and Systems

Health Policy Implementation ScienceHealthcare Systems and Practices

Cited by 133

PRIME – PRocess modelling in ImpleMEntation research: selecting a theoretical basis for interventions to change clinical practice

Walker, A. E., Grimshaw, J., Johnston, M., Pitts, N., Steen, N., & Eccles, M. (2003) · BMC Health Services Research

Health Policy Implementation ScienceBehavioral Health and Interventions

Cited by 133

Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

Sahin, C., Courtney, K. L., Naylor, P., & E Rhodes, R. (2019) · DIGITAL HEALTH

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 133

Using mixed methods to develop and evaluate complex interventions in palliative care research

Farquhar, M. C., Ewing, G., & Booth, S. (2011) · Palliative Medicine

Health Policy Implementation SciencePalliative Care and End-of-Life Issues

Cited by 133

Neuromuscular determinants of maximum walking speed in well-functioning older adults

Clark, D. J., Manini, T. M., Fielding, R. A., & Patten, C. (2013) · Experimental Gerontology

Balance, Gait, and Falls PreventionMuscle activation and electromyography studies

Cited by 133

Identification of high-quality consultation practice in primary care: the effects of computer use on doctor-patient rapport

Booth, N., Robinson, P., & Kohannejad, J. (2004) · Journal of Innovation in Health Informatics

Patient-Provider Communication in HealthcareElectronic Health Records Systems

Cited by 133

The Evidence-based Practice Attitude Scale-36 (EBPAS-36): a brief and pragmatic measure of attitudes to evidence-based practice validated in US and Norwegian samples

Rye, M., Torres, E. M., Friborg, O., Skre, I., & Aarons, G. A. (2017) · Implementation Science

Health Sciences Research and EducationHealth Policy Implementation Science

Cited by 133

Patient–Provider and Patient–Staff Racial Concordance and Perceptions of Mistreatment in the Health Care Setting

Blanchard, J., Nayar, S., & Lurie, N. (2007) · Journal of General Internal Medicine

Patient-Provider Communication in HealthcareCultural Competency in Health Care

Cited by 133

Despite The Spread Of Health Information Exchange, There Is Little Evidence Of Its Impact On Cost, Use, And Quality Of Care

Rahurkar, S., Vest, J. R., & Menachemi, N. (2015) · Health Affairs

Electronic Health Records SystemsHealthcare Systems and Technology

Cited by 133

Effectiveness of self-management of low back pain: systematic review with meta-analysis

Oliveira, V. C., Ferreira, P. H., Maher, C. G., Pinto, R. Z., Refshauge, K. M., & Ferreira, M. L. (2012) · Arthritis Care & Research

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 133

Is the metaphor of 'barriers to change' useful in understanding implementation? Evidence from general medical practice

Checkland, K., Harrison, S., & Marshall, M. (2007) · Journal of Health Services Research & Policy

Health Policy Implementation ScienceHealth Services Management and Policy

Cited by 133

e-Health and chronic pain management: Current status and developments

Keogh, E., Rosser, B. A., & Eccleston, C. (2010) · Pain

Musculoskeletal pain and rehabilitationMobile Health and mHealth Applications

Cited by 132

A comparison of intensive care unit mortality prediction models through the use of data mining techniques.

Kim, S., Kim, W., & Park, R. W. (2011) · Healthcare Informatics Research

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 132

Security and Privacy of mHealth Applications: A Scoping Review

Nurgalieva, L., O'Callaghan, D., & Doherty, G. (2020) · IEEE Access

Mobile Health and mHealth ApplicationsPrivacy, Security, and Data Protection

Cited by 132

Mobile phone technology in the management of asthma

Ryan, D., Cobern, W., Wheeler, J., Price, D., & Tarassenko, L. (2005) · Journal of Telemedicine and Telecare

Mobile Health and mHealth ApplicationsAsthma and respiratory diseases

Cited by 132

Use of wearable sensor technology in gait, balance, and range of motion analysis

Díaz, S., Stephenson, J. B., & Labrador, M. A. (2019) · Applied Sciences

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

Cited by 132

Effect of self-monitoring on long-term patient engagement with mobile health applications

Lee, K., Kwon, H., Lee, B., Lee, G., Lee, J. H., Park, Y. R., & Shin, S.-Y. (2018) · PLOS ONE

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 132

Applying normalization process theory to understand implementation of a family violence screening and care model in maternal and child health nursing practice: a mixed method process evaluation of a randomised controlled trial

Hooker, L., Small, R., Humphreys, C., Hegarty, K., & Taft, A. (2015) · Implementation Science

Health Policy Implementation ScienceIntimate Partner and Family Violence

Cited by 132