Stress and Burnout Related to Electronic Health Record Use among Healthcare Providers during the COVID-19 Pandemic in Saudi Arabia: A Preliminary National Randomized Survey.
Jwaher A AlmulhemRaniah N AldekhyyelSamar BinkhederMohammad-Hani TemsahAmr A JamalPublished in: Healthcare (Basel, Switzerland) (2021)
Healthcare providers' burnout may potentially have a negative impact on patient care. The use of the electronic health record (EHR) increases the burden for healthcare providers (HCPs), particularly during the coronavirus disease-2019 (COVID-19) pandemic. This study assessed the stress and burnout related to the use of EHRs and health information technology (HIT) tools among HCPs during COVID-19 in Saudi Arabia. We used a self-developed survey tool. It consisted of five sections; demographics and professional data, experience using EHR, effects of EHR use, use of EHR and technology tools during COVID-19, and health and wellbeing. The survey link was emailed to a random sample of HCPs registered with a national scientific regulatory body. Univariate, bivariate, and multivariate analyses were performed to measure the association between burnout and study variables. A total of 182 participants completed the survey. 50.5% of participants reported a presence of HIT-related stress, and 40.1% reported a presence of burnout. The variables independently associated with burnout were providing tertiary level of care, working with COVID-19 suspected cases, dissatisfaction with EHRs, and agreement with the statement that using EHRs added frustration to the workday. Further research that explores possible solutions is warranted to minimize burnout among HCPs, especially during infectious outbreaks.
Keyphrases
- electronic health record
- healthcare
- health information
- coronavirus disease
- clinical decision support
- adverse drug
- cross sectional
- social media
- quality improvement
- sars cov
- public health
- double blind
- palliative care
- machine learning
- clinical trial
- mental health
- risk factors
- deep learning
- health insurance
- randomized controlled trial
- artificial intelligence
- phase ii
- study protocol