| Literature DB >> 34813627 |
Fungai Kavenga1, Hannah M Rickman2, Rudo Chingono1, Tinotenda Taruvinga1,3, Takudzwa Marembo4, Justen Manasa4, Edson Marambire1, Grace McHugh1, Celia L Gregson5, Tsitsi Bandason1, Nicol Redzo1, Aspect Maunganidze6, Tsitsi Magure7, Chiratidzo Ndhlovu8, Hilda Mujuru9, Simbarashe Rusakaniko10, Portia Manangazira11, Rashida A Ferrand1,2, Katharina Kranzer1,2,11,12.
Abstract
BACKGROUND: Healthcare workers are disproportionately affected by COVID-19. In low- and middle- income countries, they may be particularly impacted by underfunded health systems, lack of personal protective equipment, challenging working conditions and barriers in accessing personal healthcare.Entities:
Mesh:
Year: 2021 PMID: 34813627 PMCID: PMC8610265 DOI: 10.1371/journal.pone.0260261
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of 951 enrolled healthcare workers.
| Age, years | Median | IQR |
|---|---|---|
| 35 | (29–42) | |
|
| N | % |
| Male | 167 | (17.6%) |
| Female | 784 | (82.4%) |
|
| N | % |
|
|
| |
| Nursing and midwifery | 404 | (42.5%) |
| Allied health professionals | 65 | (6.8%) |
| Medical | 45 | (4.7%) |
| Dental | 31 | (3.3%) |
|
|
| |
| Cleaning/domestic services | 203 | (21.3%) |
| Security/maintenance/porters/drivers | 104 | (10.9%) |
| Administrative | 71 | (7.5%) |
| Laboratory | 15 | (1.6%) |
| Other | 13 | (1.4%) |
|
| N | % |
| Did not complete primary | 2 | (0.2%) |
| Primary | 6 | (0.6%) |
| Secondary O-Level | 407 | (42.8%) |
| Secondary A-Level | 114 | (12.0%) |
| Diploma after secondary | 280 | (29.4%) |
| University | 142 | (14.9%) |
|
| N | % |
| Medical insurance | 598 | (62.9%) |
| No medical insurance | 353 | (37.1%) |
|
| N | % |
| No medical conditions | 733 | (77.1%) |
| Hypertension | 122 | (12.8%) |
| HIV | 70 | (7.4%) |
| Diabetes | 19 | (2.0%) |
| Asthma/COPD | 17 | (1.8%) |
| Gastritis/peptic ulcer disease | 5 | (0.5%) |
| Cardiovascular disease | 3 | (0.3%) |
| Epilepsy | 2 | (0.2%) |
| Other | 4 | (0.4%) |
IQR: Interquartile range. COPD: Chronic Obstructive Pulmonary Disease.
1No participants reported a history of: renal disease, previous tuberculosis, malignancy or psychiatric problems.
2Anaemia (1), hayfever (1), hearing loss (1), migraines (1).
Fig 1Numbers of healthcare workers (clients) enrolled and tested for SARS-CoV-2, overlain with weekly national case reports from Zimbabwe (all dates—2020).
Healthcare workers’ responses to questions about COVID-19 knowledge, attitudes, resources and challenges (n = 950).
|
| |
| Water | 435 (45.8%) |
| Mask | 453 (47.7%) |
| Bleach | 688 (72.4%) |
| Soap | 753 (79.3%) |
| Hand sanitizer | 847 (89.2%) |
|
| |
| Loss or decrease of wages | 655 (68.9%) |
| Increasing prices in the market | 604 (63.6%) |
| Lack of reliable information about COVID-19 | 523 (55.1%) |
| Shortage of masks | 489 (51.5%) |
| Shortage of water | 474 (49.9%) |
| Shortage of gloves | 397 (41.8%) |
| Shortage of hand sanitizer | 314 (33.1%) |
| Shortage of soap | 191 (20.1%) |
|
| |
| There is no effective cure for COVID-19 | 763 (80.3%) |
| Not all people with SARS CoV-2 develop severe disease | 755 (79.5%) |
| SARS-CoV-2 cannot be transmitted when symptoms are not present | 677 (71.3%) |
| Severe disease is more likely in elderly, chronic illness and obesity | 888 (93.5%) |
| Isolation of infected people effectively reduces spread | 919 (96.7%) |
| Contacts of COVID-19 should quarantine for 14 days | 885 (93.2%) |
| Handwashing with soap is effective against SARS-CoV-2 | 894 (94.1%) |
| 0.5% bleach can be used to decontaminate surfaces of SARS-CoV-2 | 883 (92.9%) |
| 50% ethanol can be used to decontaminate surfaces of SARS-CoV-2 | 266 (28.0%) |
| 70% ethanol can be used to decontaminate surfaces of SARS-CoV-2 | 653 (68.7%) |
| Boiling water can be used to decontaminate surfaces of SARS-CoV-2 | 388 (40.8%) |
|
| 8 (8–9) |
|
| |
| Very fearful | 179 (18.8%) |
| Fearful | 155 (16.3%) |
| Fearful, but optimistic | 428 (45.1%) |
| Neutral | 188 (19.8%) |
Fig 2Healthcare workers’ responses to the question “On a scale of 1–10, how serious is the COVID-19 situation” by week of enrolment in the study.
Higher scores indicate higher severity. (All dates—2020).
Prevalence of chronic diseases identified by screening health care workers.
| Medical condition Screening test (number screened) | Number (%) | Of those screened, number (%) with |
|---|---|---|
|
| 24 (2.5) | NA |
|
| 342 (36.1) | |
|
| 319 (33.6) | |
|
| 263 (27.7) | |
|
| ||
|
| 606 (63.9) | NA |
|
| 343 (36.1) | 260/949 (27.4%) |
|
| ||
|
| 607 (69.1) | NA |
|
| 184 (20.9) | 181/881 (20.5%) |
|
| 88 (10.0) | 79/879 (9.0%) |
|
| ||
|
| 881 (92.6) | NA |
|
| 70 (7.4) | 70/951 (7.4%) |
|
| ||
|
| 456 (99.6) | NA |
|
| 2 (0.4) | 2/458 (0.4%) |
|
| ||
|
| 9 (100.0) | NA |
CI: Confidence interval. BMI: Body Mass Index. BP: blood pressure. TB: tuberculosis.
1 Excluding those with previous diagnosis.
2 A further 76 oral self-tests were performed, for which results are not available.