Evaluating community knowledge, attitude, and practices toward implementation of telemedicine in Saudi Arabia
Mustafa, M. M.; Al-Mohaithef, M. A.
Show abstract
BackgroundThe urgent need to provide fast, low-cost, affordable, and high-quality medical services is one of the requirements of todays modern world, which is characterized by a fast pace and search for the best services, especially regarding medical consultation and treatment. These demands have led to the invention of new ways that medical services can be provided to patients in their homes. MethodsA cross-sectional study, conducted in February 2022 and ended in June 2023 with a representative sample of different categories of citizens. The study population included 281 (81.9%) males and 62 (18.1%) females (SD.385, mean 1.18). The study aimed to assess the knowledge, attitudes, and practices of Saudi citizens in the Riyadh region regarding telemedicine. ResultsThe study revealed that only 30.3% of respondents were able to select the correct definition of the term telemedicine from three alternatives, which may reflect poor knowledge about telemedicine. A total of 19.5% of our participants said that they used telemedicine services only for medical consultations, while 13.7 said they used it for diagnosis and treatment. A total of 104 (88.9) out of 117 of the respondents believed that telemedicine has a positive impact on reducing costs and saving time. ConclusionThe study concluded that the main barriers that limit the use of telemedicine services are a lack of confidence in accessing telemedicine, difficulty in communicating due to the use of different languages and dialects, and the fact that services are not suitable for uneducated people.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Strengthening government’s response to COVID-19 in Indonesia: a modified Delphi study of medical and health academics 96%
- Knowledge, attitude, and practice related to the COVID-19 pandemic among undergraduate medical students in Indonesia: a nationwide cross-sectional study 96%
- Protocol: Waiting time and ways of accessing specialized health services in public hospitals in Ecuador 96%
Similar papers in this journal
- Caregivers’ Perspective: Satisfaction With Healthcare Services At The Paediatric Specialist Clinic Of The National Referral Centre In Malaysia 95%
- Patterns of physical activity among the students of an Indian university and their perceptions about the curricular content concerned with health 94%
- Determinants of Periodic Health Examination Uptake: Insights from a Jordanian Cross-Sectional Study 94%
Similar papers in this journal
- Determinants of practice location choices among physicians and medical students in Mali: insights into addressing medical deserts through evidence-based strategies 95%
- Application and Evaluation of Flipped Teaching Based on Video Conference in Standardized Training for Internal Medicine Residents 95%
- Knowledge, perception, and attitude toward premarital screening among university students in Kurdistan region- Iraq 94%
Similar papers in this journal
- Women’s Awareness of Obstetric Fistula and its Associated Factors Among Reproductive-Age Women in Ethiopia: A Multilevel Analysis Based on National Survey Data 94%
- COVID-19 Vaccine hesitancy in Addis Ababa, Ethiopia: A mixed-methods study 94%
- Cost saving in primary versus tertiary level of reproductive health services in Sana’a, Yemen 93%
Similar papers in this journal
- Initial Experience in Predicting the Risk of Hospitalization of 496 Outpatients with COVID-19 Using a Telemedicine Risk Assessment Tool 93%
- The relationship between demographic, psychosocial and health-related parameters and the impact of COVID-19: a study of twenty-four Indian regions 93%
- Isolation Considered Epidemiological Model for the Prediction of COVID-19 Trend in Tokyo, Japan 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.