Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26817, first published .
Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study

Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study

Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study

Journals

  1. McClafferty H, Hubbard D, Foradori D, Brown M, Profit J, Tawfik D. Physician Health and Wellness. Pediatrics 2022;150(5) View
  2. Jedwab R, Manias E, Redley B, Dobroff N, Hutchinson A. Impacts of technology implementation on nurses' work motivation, engagement, satisfaction and well‐being: A realist review. Journal of Clinical Nursing 2023;32(17-18):6037 View
  3. Novak E, McDaniel K, Li J. Factors that impact student frustration in digital learning environments. Computers and Education Open 2023;5:100153 View
  4. Noort B, Buijs P, Roemeling O. Outsourcing the Management of Reusable Medical Devices in a Chain-Wide Care Setting: Mixed Methods Feasibility Study. Interactive Journal of Medical Research 2023;12:e41409 View
  5. Penny C, Adair K, Frankel A, Leonard M, Proulx J, Mosca P, Sexton J. A new look at an old well-being construct: evaluating the psychometric properties of 9, 5, and 1-item versions of emotional exhaustion metrics. Frontiers in Psychology 2023;14 View
  6. Chan K, Yeung N, Mo P, Yang X. Common stressors, coping processes, and professional help-seeking of medical professionals in Hong Kong: A qualitative study. Journal of Health Psychology 2024;29(8):891 View
  7. Chedid M, Chebib F, Dahlen E, Mueller T, Schnell T, Gay M, Hommos M, Swaminathan S, Garg A, Mao M, Amberg B, Balderes K, Johnson K, Bishop A, Vaughn J, Hogan M, Torres V, Chaudhry R, Zoghby Z. An Electronic Health Record–Integrated Application for Standardizing Care and Monitoring Patients With Autosomal Dominant Polycystic Kidney Disease Enrolled in a Tolvaptan Clinic: Design and Implementation Study. JMIR Medical Informatics 2024;12:e50164 View
  8. Tawfik D, Bayati M, Liu J, Nguyen L, Sinha A, Kannampallil T, Shanafelt T, Profit J. Predicting Primary Care Physician Burnout From Electronic Health Record Use Measures. Mayo Clinic Proceedings 2024 View
  9. Wosny M, Strasser L, Hastings J. The Paradoxes of Digital Tools in Hospitals: A Qualitative Interview Study (Preprint). Journal of Medical Internet Research 2024 View
  10. Segal A, Doyle N. Technology trends in practice: A survey of occupational therapy practitioners. Work 2024:1 View
  11. Wu Y, Wu M, Wang C, Lin J, Liu J, Liu S. Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis. JMIR Medical Informatics 2024;12:e54811 View