| Literature DB >> 33319030 |
Fahad Alanezi1, Anan Aljahdali2, Seham M Alyousef3, Wyam Alshaikh4, Hayat Mushcab5, Bashair AlThani6, Fatemah Alghamedy1, Hussah Alotaibi7, Sharifah Alrajhi8, Dhabia Alabbadi9, Turki M Alanzi10.
Abstract
BACKGROUND: Some previous studies have investigated the attitudes of healthcare professionals towards certain aspects of the COVID-19 outbreak. In addition, some general frameworks have been proposed to manage the pandemic.Entities:
Keywords: COVID-19; Framework; Healthcare practitioners' attitudes; Infectious disease; Pandemics
Year: 2020 PMID: 33319030 PMCID: PMC7722503 DOI: 10.1016/j.imu.2020.100491
Source DB: PubMed Journal: Inform Med Unlocked ISSN: 2352-9148
Fig. 1Demographic information of healthcare practitioners (n = 102).
Frequency distribution of healthcare practitioners’ attitudes towards the treatment of patients and working conditions (n = 102).
| Items | Strongly Agree | Agree | Neutral | Disagree | Strongly Disagree |
|---|---|---|---|---|---|
| Prescribing should take into account patients' expectations of treatment | 21.57% | 55.88% | 13.73% | 5.88% | 2.94% |
| Physicians and patients should agree a treatment plan that takes into account their views | 35.29% | 47.06% | 9.80% | 5.88% | 1.96% |
| Physicians should try to help patients to make as informed as possible the benefits and risks of alternative treatments | 37.25% | 47.06% | 9.80% | 1.96% | 3.92% |
| It is sometimes appropriate for the physician to make treatment decisions without the patient's input | 22.55% | 37.25% | 14.71% | 14.71% | 10.78% |
| It is not always necessary for physicians to take into account patients' priorities | 24.51% | 38.24% | 3.92% | 21.57% | 11.76% |
| I am happy with my working situation | 31.37% | 47.06% | 12.75% | 3.92% | 4.90% |
| I am happy to treat old-aged patients | 36.46% | 31.24% | 6.91% | 18.21% | 10.18% |
| I would be happier in my job if I had to work fewer night shifts | 27.45% | 41.18% | 22.55% | 3.92% | 4.90% |
| I would like to reduce my average working hours | 30.39% | 41.18% | 20.59% | 3.92% | 3.92% |
| I would like to work fewer night shifts | 26.47% | 38.24% | 23.53% | 3.92% | 7.84% |
| I have no objection for working in ICUs allocated for COVID | 21.57% | 46.08% | 16.67% | 6.86% | 8.82% |
| My work life balance is good | 26.47% | 46.08% | 17.65% | 6.86% | 2.94% |
Fig. 2Frequency distribution of healthcare practitioners' leaderships approaches for handling the crisis (n = 102).
Frequency distribution of healthcare practitioners’ information sharing approaches (n = 102).
| Items | Strongly Agree | Agree | Neutral | Disagree | Strongly Disagree |
|---|---|---|---|---|---|
| A regular debriefing of procedures and decisions after a session or shift is an important part of developing and maintaining effective team coordination | 39.22% | 40.20% | 13.73% | 2.94% | 3.92% |
| Team members in charge should verbalize plans for procedures or actions and should be sure that the information is understood and acknowledged by others | 44.12% | 38.24% | 9.80% | 6.86% | 0.98% |
| I am encouraged by my leaders and co-workers to report any incidents I may observe | 35.29% | 49.02% | 8.82% | 3.92% | 2.94% |
| It is better to agree with other medical team members than to voice a different opinion | 22.55% | 40.20% | 12.75% | 15.69% | 8.82% |
| The physician's responsibilities include coordination between his or her work team and other support teams | 35.29% | 49.02% | 5.88% | 5.88% | 3.92% |
| Medical team members share responsibilities for prioritizing activities in high workload situations | 33.33% | 51.96% | 10.78% | 2.94% | 0.98% |
| All members of the medical team are qualified to give me feedback | 30.39% | 44.12% | 11.76% | 10.78% | 2.94% |
Fig. 3Frequency distribution of practitioners' attitudes towards healthcare errors and procedural compliance (n = 102).
Frequency distribution of challenges faced by the healthcare practitioners in dealing with the COVID-19 pandemic (n = 102).
| Items | Strongly Agree | Agree | Neutral | Disagree | Strongly Disagree |
|---|---|---|---|---|---|
| Work overload | 17.65% | 50.98% | 23.53% | 4.90% | 2.94% |
| Poor salary | 20.59% | 47.06% | 18.63% | 10.78% | 2.94% |
| Insufficient staff | 22.55% | 55.88% | 14.71% | 4.90% | 1.96% |
| Poor organizational culture | 18.63% | 51.96% | 18.63% | 7.84% | 2.94% |
| Poor leadership | 19.61% | 47.06% | 17.65% | 11.76% | 3.92% |
| Limited or no access to technology | 9.80% | 47.06% | 18.63% | 13.73% | 10.78% |
| Lack of training | 16.67% | 51.96% | 14.71% | 10.78% | 5.88% |
| Lack of healthcare resources (devices such as ventilators/accessories such as gloves, masks etc.) | 17.65% | 44.12% | 17.65% | 14.71% | 5.88% |
| Lack of sufficient financial resources | 12.75% | 49.02% | 18.63% | 12.75% | 6.86% |
| Lack of support from government | 9.80% | 46.08% | 16.67% | 15.69% | 11.76% |
| Lack of support from community/people | 14.71% | 53.92% | 17.65% | 10.78% | 2.94% |
| Poor operational framework for managing pandemic | 12.75% | 51.96% | 15.69% | 13.73% | 5.88% |
Fig. 4Opinion of healthcare practitioners on a framework for healthcare operation (n = 102).
Fig. 5A qualitative framework for managing the COVID-19 pandemic in Saudi Arabia.