Check health professions papers: citations, claims and retractions

Local Investment in Training Drives Electronic Health Record User Satisfaction

Longhurst, C., Davis, T., Maneker, A., Eschenroeder, H., Dunscombe, R., Reynolds, G., Clay, B., Moran, T., Graham, D., Dean, S., et al. (2019) · Applied Clinical Informatics

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 76

The relationship between first-level leadership and inner-context and implementation outcomes in behavioral health: a scoping review

Meza, R. D., Triplett, N. S., Woodard, G. S., Martin, P., Khairuzzaman, A. N., Jamora, G., & Dorsey, S. (2021) · Implementation Science

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 76

Navigating the field of implementation science towards maturity: challenges and opportunities

Chambers, D. A., & Emmons, K. M. (2024) · Implementation Science

Health Policy Implementation ScienceHealth Sciences Research and Education

Cited by 76

Mobile and wireless technologies in health behavior and the potential for intensively adaptive interventions

Riley, W. T., Serrano, K. J., Nilsen, W., & Atienza, A. A. (2015) · Current Opinion in Psychology

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 76

Reliability of biological variation data available in an online database: need for improvement

Carobene, A. (2015) · Clinical Chemistry and Laboratory Medicine (CCLM)

Clinical Laboratory Practices and Quality ControlScientific Measurement and Uncertainty Evaluation

Cited by 76

An addiction model-based mobile health weight loss intervention in adolescents with obesity

Vidmar, A. P., Pretlow, R., Borzutzky, C., Wee, C. P., Fox, D. S., Fink, C., & Mittelman, S. D. (2019) · Pediatric Obesity

Mobile Health and mHealth ApplicationsObesity, Physical Activity, Diet

Cited by 76

Mapping the use of research to support strategies tackling maternal and child health inequities: evidence from six countries in Africa and Latin America

Vargas, E., Becerril-Montekio, V., Gonzalez-Block, M. Á., Akweongo, P., Hazel, C. N. A., Cuembelo, M. D. F., Limbani, F., Bernardo, W., & Muñoz, F. (2016) · Health Research Policy and Systems

Health Policy Implementation ScienceGlobal Maternal and Child Health

Cited by 76

Selective ordering of preoperative investigations by anesthesiologists reduces the number and cost of tests

Finegan, B. A., Rashiq, S., McAlister, F. A., & O’Connor, P. (2005) · Canadian Journal of Anesthesia/Journal canadien d'anesthésie

Healthcare cost, quality, practicesCardiac, Anesthesia and Surgical Outcomes

Cited by 76

Stability and reproducibility of a single-sample urinary C-peptide/creatinine ratio and its correlation with 24-h urinary C-peptide

McDonald, T. J., Knight, B. A., Shields, B. M., Bowman, P., Salzmann, M. B., & Hattersley, A. T. (2009) · Clinical Chemistry

Clinical Laboratory Practices and Quality ControlPancreatic function and diabetes

Cited by 75

Co-creation of an ICT-supported cancer rehabilitation application for resected lung cancer survivors: design and evaluation

Timmerman, J. G., Tönis, T. M., Dekker-van Weering, M. G. H., Stuiver, M. M., Wouters, M. W. J. M., van Harten, W. H., Hermens, H. J., & Vollenbroek-Hutten, M. M. R. (2016) · BMC Health Services Research

Mobile Health and mHealth ApplicationsCancer survivorship and care

Cited by 75

Checking the Lists: A Systematic Review of Electronic Checklist Use in Health Care

Kramer, H. S., & Drews, F. A. (2017) · Journal of Biomedical Informatics

Electronic Health Records SystemsPatient Safety and Medication Errors

Cited by 75

Leg Strength or Velocity of Movement: Which Is More Influential on the Balance of Mobility Limited Elders?

Mayson, D. J., Kiely, D. K., LaRose, S. I., & Bean, J. F. (2008) · American Journal of Physical Medicine & Rehabilitation

Balance, Gait, and Falls PreventionFrailty in Older Adults

Cited by 75

The Impact of Text Message Reminders on Adherence to Antimalarial Treatment in Northern Ghana: A Randomized Trial

Raifman, J. R. G., Lanthorn, H. E., Rokicki, S., & Fink, G. (2014) · PLoS ONE

Mobile Health and mHealth ApplicationsMedication Adherence and Compliance

Cited by 75

Effect of an Artificial Intelligence–Based Self-Management App on Musculoskeletal Health in Patients With Neck and/or Low Back Pain Referred to Specialist Care: A Randomized Clinical Trial

Marcuzzi, A., Nordstoga, A. L., Bach, K., Aasdahl, L., Nilsen, T. I. L., Bardal, E. M., Boldermo, N. Ø., Falkener Bertheussen, G., Marchand, G. H., Gismervik, S., et al. (2023) · JAMA Network Open

Musculoskeletal pain and rehabilitationMobile Health and mHealth Applications

Cited by 75

Use of the Healthy Lifestyle Coaching Chatbot App to Promote Stair-Climbing Habits Among Office Workers: Exploratory Randomized Controlled Trial

Piao, M., Ryu, H., Lee, H., & Kim, J. (2020) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsBehavioral Health and Interventions

Cited by 75

Do patients “like” good care? Measuring hospital quality via Facebook

Timian, A., Rupcic, S., Kachnowski, S., & Luisi, P. (2013) · American Journal of Medical Quality

Patient Satisfaction in HealthcareSocial Media in Health Education

Cited by 75

The development and psychometric evaluation of an instrument to assess spouse responses to pain and well behavior in patients with chronic pain: the Spouse Response Inventory

Schwartz, L., Jensen, M. P., & Romano, J. M. (2005) · The Journal of Pain

Musculoskeletal pain and rehabilitationPain Mechanisms and Treatments

Cited by 75

Dissemination of effective mental health treatment procedures: Maximizing the return on a significant investment

Chorpita, B. F., & Regan, J. (2009) · Behaviour Research and Therapy

Health Policy Implementation SciencePsychotherapy Techniques and Applications

Cited by 75

Identifying Factors for Optimal Development of Health-Related Websites: A Delphi Study Among Experts and Potential Future Users

Schneider, F., van Osch, L., & de Vries, H. (2012) · Journal of Medical Internet Research

Health Literacy and Information AccessibilityMobile Health and mHealth Applications

Cited by 75

Smartphone Applications for Hypertension Management: a Potential Game-Changer That Needs More Control

Parati, G., Torlasco, C., Omboni, S., & Pellegrini, D. (2017) · Current Hypertension Reports

Mobile Health and mHealth ApplicationsBlood Pressure and Hypertension Studies

Cited by 75

Chronic pain patients can be classified into four groups: clustering-based discriminant analysis of psychometric data from 4665 patients referred to a multidisciplinary pain centre (a SQRP study)

Bäckryd, E., Persson, E. B., Larsson, A. I., Fischer, M. R., & Gerdle, B. (2018) · PLoS ONE

Musculoskeletal pain and rehabilitationPain Management and Treatment

Cited by 75

Patients’ experiences of using a smartphone application to increase physical activity: the SMART MOVE qualitative study in primary care

Casey, M., Hayes, P. S., Glynn, F., ÓLaighin, G., Heaney, D., Murphy, A. W., & Glynn, L. G. (2014) · British Journal of General Practice

Mobile Health and mHealth ApplicationsPhysical Activity and Health

Cited by 75

Machine learning improves risk stratification after acute coronary syndrome

Myers, P. D., Scirica, B. M., & Stultz, C. M. (2017) · Scientific Reports

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 75

Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology

Goldberg, S. B., Sun, S., Carlbring, P., & Torous, J. (2023) · npj Digital Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 75