Check health professions papers: citations, claims and retractions

Physical Housing Environment: Development of a Self-Assessment Instrument

Fänge, A., & Iwarsson, S. (1999) · Canadian Journal of Occupational Therapy

Occupational Therapy Practice and ResearchAssistive Technology in Communication and Mobility

Cited by 74

The expression of aversion to medicines in general practice consultations

Britten, N., Stevenson, F., Gafaranga, J., Barry, C., & Bradley, C. (2004) · Social Science & Medicine

Patient-Provider Communication in HealthcareLanguage, Discourse, Communication Strategies

Cited by 74

Reproductive Health Concerns in Six Conflict-Affected Areas of Sri Lanka

Kottegoda, S., Samuel, K., & Emmanuel, S. (2008) · Reproductive Health Matters

Health and Conflict StudiesReproductive Health and Contraception

Cited by 74

Development and Validation of Digital Health Technology Literacy Assessment Questionnaire

Yoon, J., Lee, M., Ahn, J. S., Oh, D., Shin, S.-Y., Chang, Y. J., & Cho, J. (2022) · Journal of Medical Systems

Health Literacy and Information AccessibilityTechnology Use by Older Adults

Cited by 74

Active ambulatory care management supported by short message services and mobile phone technology in patients with arterial hypertension

Kiselev, A. R., Gridnev, V. I., Shvartz, V. A., Posnenkova, O. M., & Dovgalevsky, P. Y. (2012) · Journal of the American Society of Hypertension

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 74

Qualitative Assessment of the Feasibility, Usability, and Acceptability of a Mobile Client Data App for Community-Based Maternal, Neonatal, and Child Care in Rural Ghana

Rothstein, J. D., Jennings, L., Moorthy, A., Yang, F., Gee, L., Romano, K., Hutchful, D., Labrique, A. B., & LeFevre, A. E. (2016) · International Journal of Telemedicine and Applications

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 74

The mobile phone as a tool in improving cancer care in Nigeria

Odigie, V. I., Yusufu, L. M. D., Dawotola, D. A., Ejagwulu, F., Abur, P., Mai, A., Ukwenya, Y., Garba, E. S., Rotibi, B. B., & Odigie, E. C. (2012) · Psycho-Oncology

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 74

A Randomized Controlled Trial on the Effectiveness of a Classification-Based System for Subacute and Chronic Low Back Pain

Apeldoorn, A. T., Ostelo, R. W., van Helvoirt, H., Fritz, J. M., Knol, D. L., van Tulder, M. W., & de Vet, H. C. (2012) · Spine

Musculoskeletal pain and rehabilitationSpine and Intervertebral Disc Pathology

Cited by 74

Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements

Avuçlu, E., & Elen, A. (2020) · Medical & Biological Engineering & Computing

Voice and Speech DisordersArtificial Intelligence in Healthcare

Cited by 74

Prevalence and Sources of Duplicate Information in the Electronic Medical Record

Steinkamp, J., Kantrowitz, J. J., & Airan-Javia, S. (2022) · JAMA Network Open

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 74

Assessing the Quality of Clinical Data in a Computer-based Record for Calculating the Pneumonia Severity Index

Aronsky, D., & Haug, P. J. (2000) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 74

Machine-aided self-diagnostic prediction models for polycystic ovary syndrome: observational study

Zigarelli, A., Jia, Z., & Lee, H. (2022) · JMIR Formative Research

Artificial Intelligence in HealthcareOvarian function and disorders

Cited by 74

Text-based Healthcare Chatbots Supporting Patient and Health Professional Teams: Preliminary Results of a Randomized Controlled Trial on Childhood Obesity

Kowatsch, T., Nißen, M. K., Shih, C.-H. I., Rüegger, D., Volland, D., Filler, A., Künzler, F., Barata, F., Hung, S., Büchter, D., et al. (2017) · ETH Zurich

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 74

Effectiveness of a Web-Based Tailored Interactive Health Communication Application for Patients With Type 2 Diabetes or Chronic Low Back Pain: Randomized Controlled Trial

Weymann, N., Dirmaier, J., von Wolff, A., Kriston, L., & Härter, M. (2015) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsHealth Literacy and Information Accessibility

Cited by 73

Rehabilitation, the Great Absentee of Virtual Coaching in Medical Care: Scoping Review

Tropea, P., Schlieter, H., Sterpi, I., Judica, E., Gand, K., Caprino, M., Gabilondo, I., Gomez-Esteban, J. C., Busnatu, S., Sinescu, C., et al. (2019) · Journal of Medical Internet Research

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 73

A Pragmatic Approach for Organizations to Measure Health Care Professional Well-Being

Clinic, M., Dyrbye, L. N., Meyers, D., Agency for Healthcare Research & Quality, Ripp, J., Medicine, C. F. H. A. R. I., Dalal, N., Emory University, Bird, S. B., Society for Academic Emergency Medicine, et al. (2018) · NAM Perspectives

Healthcare professionals’ stress and burnoutOccupational Health and Burnout

Cited by 73

An i2b2-based, generalizable, open source, self-scaling chronic disease registry

Natter, M. D., Quan, J., Ortiz, D. M., Bousvaros, A., Ilowite, N. T., Inman, C. J., Marsolo, K., McMurry, A. J., Sandborg, C. I., Schanberg, L. E., et al. (2013) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsResearch Data Management Practices

Cited by 73

What is “moral distress” in nursing? How, can and should we respond to it?

Morley, G. (2018) · Journal of Clinical Nursing

Ethics in medical practiceEthics in Business and Education

Cited by 73

Validity, Reliability, Feasibility, and Usefulness of Pain Monitor: A Multidimensional Smartphone App for Daily Monitoring of Adults With Heterogenous Chronic Pain

Suso-Ribera, C., Castilla, D., Zaragozá, I., Ribera-Canudas, M. V., Botella, C., & García-Palacios, A. (2018) · The Clinical Journal of Pain

Mobile Health and mHealth ApplicationsMusculoskeletal pain and rehabilitation

Cited by 73

Improved interoceptive awareness in chronic low back pain: A comparison of Back school versus Feldenkrais method

Paolucci, T., Zangrando, F., Iosa, M., De Angelis, S., Marzoli, C., Piccinini, G., & Saraceni, V. M. (2017) · Disability and Rehabilitation

Musculoskeletal pain and rehabilitationMyofascial pain diagnosis and treatment

Cited by 73

The Pain Self‐Efficacy Questionnaire: Cross‐Cultural Adaptation into Italian and Assessment of Its Measurement Properties

Chiarotto, A., Vanti, C., Ostelo, R. W., Ferrari, S., Tedesco, G., Rocca, B., Pillastrini, P., & Monticone, M. (2015) · Pain Practice

Musculoskeletal pain and rehabilitationPain Management and Opioid Use

Cited by 73

Barriers and benefits to using mobile health technology after operation: a qualitative study

Abelson, J. S., Kaufman, E., Symer, M., Peters, A., Charlson, M., & Yeo, H. (2017) · Surgery

Mobile Health and mHealth ApplicationsHealth, Technology, Consumer Behavior

Cited by 73

Prevalence and characteristics of chronic pain in Brazil. A national internet-based survey study

Carvalho, R. C. D., Maglioni, C. B., Machado, G. B., Araújo, J. E. D., Silva, J. R. T. D., & Silva, M. L. D. (2018) · Brazilian Journal Of Pain

Musculoskeletal pain and rehabilitationPain Mechanisms and Treatments

Cited by 73

Qualitative study of burnout, career satisfaction, and well-being among US neurologists in 2016

Miyasaki, J. M., Rheaume, C., Gulya, L., Ellenstein, A., Schwarz, H. B., Vidic, T. R., Shanafelt, T. D., Cascino, T. L., Keran, C. M., & Busis, N. A. (2017) · Neurology

Healthcare professionals’ stress and burnoutDiversity and Career in Medicine

Cited by 73