Check health professions papers: citations, claims and retractions

Systematic review: factors contributing to burnout in dentistry

Singh, P., Aulak, D. S., Mangat, S. S., & Aulak, M. S. (2016) · Occupational Medicine

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 158

Maximizing Engagement in Mobile Health Studies

Druce, K. L., Dixon, W. G., & McBeth, J. (2019) · Rheumatic Disease Clinics of North America

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 158

Challenges in Using Mobile Phones for Collection of Antiretroviral Therapy Adherence Data in a Resource-Limited Setting

Haberer, J. E., Kiwanuka, J., Nansera, D., Wilson, I. B., & Bangsberg, D. R. (2010) · AIDS and Behavior

Mobile Health and mHealth ApplicationsHIV/AIDS Research and Interventions

Cited by 158

The relationship of arthritis self-efficacy to daily pain, daily mood, and daily pain coping in rheumatoid arthritis patients

Lefebvre, J. C., Keefe, F. J., Affleck, G., Raezer, L. B., Starr, K., Caldwell, D. S., & Tennen, H. (1999) · Pain

Musculoskeletal pain and rehabilitationRheumatoid Arthritis Research and Therapies

Cited by 158

Integrating implementation science in clinical research to maximize public health impact: a call for the reporting and alignment of implementation strategy use with implementation outcomes in clinical research

Rudd, B. N., Davis, M., & Beidas, R. S. (2020) · Implementation Science

Health Policy Implementation ScienceClinical practice guidelines implementation

Cited by 157

Effectiveness of smartphone-based self-management interventions on self-efficacy, self-care activities, health-related quality of life and clinical outcomes in patients with type 2 diabetes: A systematic review and meta-analysis

Aminuddin, H. B., Jiao, N., Jiang, Y., Hong, J., & Wang, W. (2021) · International Journal of Nursing Studies

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 157

An Online Self-help CBT Intervention for Chronic Lower Back Pain

Carpenter, K. M., Stoner, S. A., Mundt, J. M., & Stoelb, B. (2012) · The Clinical Journal of Pain

Musculoskeletal pain and rehabilitationDigital Mental Health Interventions

Cited by 157

Effect of veterinarian-client-patient interactions on client adherence to dentistry and surgery recommendations in companion-animal practice

Kanji, N., Coe, J. B., Adams, C. L., & Shaw, J. R. (2012) · Journal of the American Veterinary Medical Association

Patient-Provider Communication in HealthcareVeterinary Practice and Education Studies

Cited by 157

Psychological profiles and pain characteristics of older adults with knee osteoarthritis

Cruz‐Almeida, Y., King, C. D., Goodin, B. R., Sibille, K. T., Glover, T. L., Riley, J. L., Sotolongo, A., Herbert, M. S., Schmidt, J., Fessler, B. J., et al. (2013) · Arthritis Care & Research

Musculoskeletal pain and rehabilitationPain Mechanisms and Treatments

Cited by 157

Wellness-centered leadership: equipping health care leaders to cultivate physician well-being and professional fulfillment

Shanafelt, T., Trockel, M., Rodriguez, A., & Logan, D. (2021) · Academic Medicine

Healthcare professionals’ stress and burnoutInnovations in Medical Education

Cited by 157

Innovation in sexually transmitted disease and HIV prevention: Internet and mobile phone delivery vehicles for global diffusion

Swendeman, D., & Rotheram-Borus, M. J. (2010) · Current Opinion in Psychiatry

Mobile Health and mHealth ApplicationsHIV/AIDS Research and Interventions

Cited by 157

Interventions for promoting information and communication technologies adoption in healthcare professionals

Gagnon, M.-P., Légaré, F., Labrecque, M., Frémont, P., Pluye, P., Gagnon, J., Car, J., Pagliari, C., Desmartis, M., Turcot, L., et al. (2009) · Cochrane Database of Systematic Reviews

Electronic Health Records SystemsTechnology Adoption and User Behaviour

Cited by 157

Standardization of collection requirements for fasting samples

Simundic, A. M., Cornes, M., Grankvist, K., Lippi, G., & Nybo, M. (2014) · Clinica Chimica Acta

Clinical Laboratory Practices and Quality ControlDietary Effects on Health

Cited by 156

A systematic review of trials evaluating success factors of interventions with computerised clinical decision support

Van de Velde, S., Heselmans, A., Delvaux, N., Brandt, L., Marco-Ruiz, L., Spitaels, D., Cloetens, H., Kortteisto, T., Roshanov, P., Kunnamo, I., et al. (2018) · Implementation Science

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 156

Stabilization exercise compared to general exercises or manual therapy for the management of low back pain: A systematic review and meta-analysis

Gomes-Neto, M., Lopes, J. M., Conceição, C. S., Araujo, A., Brasileiro, A., Sousa, C., Carvalho, V. O., & Arcanjo, F. L. (2017) · Physical Therapy in Sport

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 156

The SHED-IT randomized controlled trial: evaluation of an Internet-based weight-loss program for men

Morgan, P. J., Lubans, D. R., Collins, C. E., Warren, J. M., & Callister, R. (2009) · Obesity

Mobile Health and mHealth ApplicationsObesity, Physical Activity, Diet

Cited by 156

Patients’ experiences of chronic non-malignant musculoskeletal pain: a qualitative systematic review

Toye, F., Seers, K., Allcock, N., Briggs, M., Carr, E., Andrews, J., & Barker, K. (2013) · British Journal of General Practice

Musculoskeletal pain and rehabilitationMedicine, History, and Philosophy

Cited by 156

Effectiveness of a Web-based Intervention Aimed at Healthy Dietary and Physical Activity Behavior: A Randomized Controlled Trial About Users and Usage

Kelders, S. M., Van Gemert-Pijnen, J. E. W. C., Werkman, A., Nijland, N., & Seydel, E. R. (2011) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 156

The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study

Messner, E.-M., Terhorst, Y., Barke, A., Baumeister, H., Stoyanov, S., Hides, L., Kavanagh, D., Pryss, R., Sander, L., & Probst, T. (2020) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 156

The Potential of Mobile Apps for Improving Asthma Self-Management: A Review of Publicly Available and Well-Adopted Asthma Apps

Tinschert, P., Jakob, R., Barata, F., Kramer, J.-N., & Kowatsch, T. (2017) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 156

Clinical decision support capabilities of commercially-available clinical information systems

Wright, A., Sittig, D. F., Ash, J. S., Sharma, S., Pang, J. E., & Middleton, B. (2009) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 156

Voice Disorder Identification by Using Machine Learning Techniques

Verde, L., De Pietro, G., & Sannino, G. (2018) · IEEE Access

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 156

A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults.

Oosterveen, E., Tzelepis, F., Ashton, L., & Hutchesson, M. J. (2017) · Preventive Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 156

Pain catastrophizing and general health status in a large Dutch community sample

Severeijns, R., van den Hout, M. A., Vlaeyen, J. W. S., & Picavet, S. J. H. (2002) · Pain

Musculoskeletal pain and rehabilitationPediatric Pain Management Techniques

Cited by 156