| Literature DB >> 34031646 |
David Ayoola Oladele1, Ifeoma Eugenia Idigbe1, Adesola Zaidat Musa2, Titilola Gbaja-Biamila1, Tajudeen Bamidele3, Aigbe Gregory Ohihoin1, Abideen Salako1, Tosin Odubela1, Oluwagbemiga Aina4, Esther Ohihoin1, Agatha David1, Oliver Ezechi1, Nkiruka Odunukwe1, Babatunde Lawal Salako1.
Abstract
The SARS-CoV-2 virus is highly infectious resulting in increased infection and death among the front-line Healthcare Workers (HCW) because of limited access to personal protective equipment (PPE). This study assesses the availability and self-reported use of PPE amongst HCW during the COVID-19 pandemic in Nigeria. A mixed-method study was conducted through a cross-sectional survey and in-depth interviews amongst HCW. Quantitative data analysis was done using SPSS version 26 and thematic analysis was done for the in-depth interview. A total of 258 HCW completed the survey while 15 HCW took part in the in-depth interview. The mean age was 40 (±8.6) years, 67.4% were female and 83.3% were married. 49% were Doctors, 21.1% were Nurses, 28.7% were other allied HCW and 62.2% had at least 10 years of practice experience. Only 22.1% of HCWs had regular access to PPE and only 20.6% had access to N-95 facemask compare to other PPEs. Male HCWs and those working at secondary or tertiary facilities had access to N-95 facemask (p-value 0.025 and 0.010 respectively). The facilitator of PPE use is leadership quality of hospital head and donation of PPE to the facilities while the barriers to PPE use include a limited supply of PPE, as well as facility's infrastructural and operational challenges. The study reported limited access to essential PPE with varying perspectives on its use. Therefore, access, knowledge, and appropriate use of PPE need urgent attention with improved implementation of infection control policy at the facility level.Entities:
Keywords: Access; COVID-19; Healthcare workers; Nigeria; Personal protective equipment; Self-reported use
Year: 2021 PMID: 34031646 PMCID: PMC8133390 DOI: 10.1016/j.heliyon.2021.e07100
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Socio-demographic Characteristics of respondents (n = 258).
| Variable | Number | Percentage |
|---|---|---|
| Age (Years) (n = 253) | ||
| <35 | 58 | 22.9 |
| 35-44 | 115 | 45.5 |
| 45-54 | 63 | 24.9 |
| 55-64 | 17 | 6.7 |
| Mean Age (Years) - 40.5 SD 8.6 | ||
| Gender | ||
| Female | 174 | 67.4 |
| Male | 84 | 32.6 |
| Marital Status | ||
| Married | 215 | 83.3 |
| Single | 35 | 13.6 |
| Widowed | 3 | 1.2 |
| Divorced/Separated | 5 | 1.9 |
| Educational Status | ||
| Secondary | 1 | 0.4 |
| Tertiary | 255 | 98.8 |
| Missing | 2 | 0.8 |
| Profession (n = 253) | ||
| Doctor | 124 | 49.0 |
| Nurses | 56 | 22.1 |
| Laboratory Scientist | 43 | 17.0 |
| Pharmacist | 5 | 2.0 |
| CHEW/CHO | 12 | 4.7 |
| Physiotherapist | 3 | 1.2 |
| Others | 10 | 4.0 |
| Years of professional experience (years) (n = 246) | ||
| <5 | 45 | 18.3 |
| 6-10 | 66 | 26.8 |
| 11-20 | 97 | 39.4 |
| 21-30 | 35 | 14.2 |
| >30 | 13 | 5.3 |
| Median years of professional experience - 12 [Range 1–37] IQR -13 | ||
| Type of facility | ||
| Government | 224 | 86.8 |
| Private | 34 | 13.2 |
| Type of Government health facility (n = 229) | ||
| Primary | 101 | 44.1 |
| Secondary | 56 | 24.5 |
| Tertiary | 72 | 31.4 |
| Number of hospital bed at the facility (n = 249) | ||
| 1-50 | 102 | 41.0 |
| 51-99 | 18 | 7.2 |
| 100-150 | 22 | 8.8 |
| 151-199 | 8 | 3.2 |
| 200-250 | 11 | 4.4 |
| 251-300 | 7 | 2.8 |
| ≥300 | 29 | 11.6 |
| No admission facility | 52 | 20.9 |
| Geopolitical Zone (n-253) | ||
| South West | 221 | 87.4 |
| Other regions | 32 | 12.6 |
Knowledge and Attitude of Health workers to PPE.
| Variable | Frequency | Percentage |
|---|---|---|
| I have adequate knowledge of COVID-19 | ||
| Yes | 245 | 95 |
| No | 13 | 5 |
| I can correctly identify a PPE | ||
| Yes | 250 | 96.9 |
| No | 8 | 3.1 |
| I have correct knowledge of Hand Hygiene | ||
| Yes | 258 | 100 |
| I know when to use goggle/face shield and gown during patient care | ||
| Yes | 247 | 95.7 |
| No | 10 | 3.9 |
| I know when to wear face mask during patient care | ||
| Yes | 256 | 99.2 |
| No | 2 | 0.8 |
| Attitude to COVID-19 | ||
| I am confident I understand the risks of COVID-19 for patients and HCW | ||
| Strongly agree | 142 | 55.3 |
| Agree | 87 | 33.9 |
| Neutral | 7 | 2.7 |
| Disagree | 2 | 0.8 |
| Strongly disagree | 19 | 7.4 |
| I am confident I know how to protect myself and my patients | ||
| Strongly agree | 101 | 39.1 |
| Agree | 125 | 48.4 |
| Neutral | 18 | 7.0 |
| Disagree | 0 | 0 |
| Strongly disagree | 14 | 5.4 |
| I am confident that use of PPE will keep HCW from COVID-19 infection | ||
| Strongly agree | 112 | 43.6 |
| Agree | 118 | 45.9 |
| Neutral | 8 | 3.1 |
| Disagree | 4 | 1.6 |
| Strongly disagree | 15 | 5.8 |
| I am confident that use of PPE will protect patients from COVID-19 | ||
| Strongly agree | 83 | 32.2 |
| Agree | 76 | 29.5 |
| Neutral | 53 | 20.5 |
| Disagree | 22 | 8.5 |
| Strongly disagree | 24 | 9.3 |
| The use of PPE could be inconvenient (n = 258) | ||
| Strongly agree | 29 | 11.2 |
| Agree | 22 | 8.5 |
| Neutral | 30 | 11.6 |
| Disagree | 99 | 38.4 |
| Strongly disagree | 78 | 30.2 |
| The use of PPE could interfere with patient care (n = 256) | ||
| Strongly agree | 106 | 41.4 |
| Agree | 59 | 23.0 |
| Neutral | 34 | 13.3 |
| Disagree | 33 | 12.9 |
| Strongly disagree | 24 | 9.4 |
| I am confident that I can improve my PPE use compliance | ||
| Strongly agree | 148 | 57.8 |
| Agree | 89 | 34.8 |
| Neutral | 12 | 4.7 |
| Disagree | 5 | 2.0 |
| Strongly disagree | 2 | 0.8 |
Figure 1Overall attitude score.
Respondents Access and self-reported use of PPE during 2020 COVID-19 outbreak.
| Variable | Frequency | Percent |
|---|---|---|
| PPE is readily available in my Institution | ||
| Yes | 57 | 22.1 |
| No | 143 | 55.4 |
| Maybe | 57 | 22.1 |
| I would be reprimanded by a supervisor if I did not use PPE | ||
| Strongly agree | 30 | 11.6 |
| Agree | 86 | 33.3 |
| Neutral | 68 | 24.6 |
| Disagree | 45 | 17.4 |
| Strongly disagree | 28 | 10.9 |
| My colleague often forgot to use PPE during patient care | ||
| Strongly agree | 8 | 3.1 |
| Agree | 55 | 21.3 |
| Neutral | 49 | 19.0 |
| Disagree | 105 | 40.7 |
| Strongly disagree | 39 | 15.1 |
| I would remove PPE immediately after leaving a patient's admission area | ||
| Yes | 168 | 65.1 |
| No | 52 | 20.2 |
| Maybe | 35 | 13.6 |
| I am confident of the method of doffing my PPE | ||
| Yes | 180 | 69.8 |
| No | 76 | 29.5 |
| I personally know anyone who has contacted COVID-19 during this outbreak? (n = 251) | ||
| Yes | 86 | 34.3 |
| No | 165 | 65.7 |
| Extent of feeling of safety from contacting the COVID-19 disease. | ||
| Very protected | 68 | 26.4 |
| Somewhat protected | 119 | 46.1 |
| Not sure | 54 | 20.9 |
| Somewhat unprotected | 9 | 3.5 |
| Very unprotected | 8 | 3.1 |
| Control practices necessary to avoid contracting an infection transmitted through droplet means. | ||
| Isolating patients in negative pressure room | 141 (of 255) | 55.2 |
| Wearing surgical facemask | 180 (of 255) | 70.6 |
| Wearing N-95 when performing aerosol procedure | 212 (of 255) | 83.1 |
| Wearing latex gloves | 186 (of 255) | 83.1 |
| Hand hygiene | 2 (of 255) | 0.8 |
| Wearing goggle | 2 (of 255) | 0.8 |
| Action necessary in caring for a patient with possible COVID -19 infection | ||
| Apply surgical mask | 198 (of 256) | 77.3 |
| Provide patient with surgical mask | 209 (of 256) | 81.6 |
| Consult the institution infection control committee | 215 (of 256) | 84.0 |
| Wear a gown and glove and escort the patient | 158 (of 256) | 61.7 |
| I don't know | 3 (of 256) | 1.2 |
Figure 2Availability of Personal Protective Equipment in Health facilities where the respondents work.
Figure 3Respondents report of the availability of specific PPE at their facilities.
Association between socio-demographic variables of respondents and access.
| Variable | Respirator available | OR (CI) | p- value | |
|---|---|---|---|---|
| No | Yes | |||
| Age (years) | ||||
| <40 | 90 (79.6) | 23 (20.4) | 0.98 (0.516–1.856) | 0.924 |
| ≥40 | 96 (80.0) | 24 (20.0) | ||
| Sex | ||||
| Female | 136 (84.0) | 26 (16.0) | 2.13 (1.113–4.080) | 0.033∗ |
| Male | 54 (71.1) | 22 (28.9) | ||
| Years of practice | ||||
| <10 | 57 (78.1) | 16 (21.9) | 0.87 (0.443–1.711) | 0.728 |
| ≥10 | 131 (80.4) | 32 (19.6) | ||
| Health worker profession | ||||
| Other allied workers | 100 (84.0) | 18 (16.0) | 1.75 (0.920–3.347) | 0.106 |
| Doctors | 87 (75.0) | 29 (25) | ||
| Type of Facility | ||||
| Government | 166 (79.8) | 42 (20.2) | ||
| Private | 24 (80.0) | 6 (20) | 0.99 (0.380–2.572) | 0.827 |
| Level of Care for Government facilities | ||||
| Primary | 86 (87.8) | 12 (12.2) | ||
| Secondary/Tertiary | 84 (73.0) | 31 (27.0) | 2.65 (1.273–5.494) | 0.013∗ |
Socio-demographic characteristics of the qualitative study participants.
| Respondent | Gender | Age (yrs.) | Occupation | Years of Practice | Religion | Geopolitical zone of practice |
|---|---|---|---|---|---|---|
| 1. | M | 30 | Clinician | 8 | Christian | North Central |
| 2. | F | 48 | Clinician | 20 | Christian | South West |
| 3. | F | 45 | Clinician | 20 | Christian | South West |
| 4. | M | 11 | Clinician | 11 | Christian | South West |
| 5. | F | 10 | Clinician | 10 | Christian | North West |
| 6. | F | 24 | Nurse | 47 | Muslim | South West |
| 7. | M | 43 | Med. Laboratory Scientist | 14 | Muslim | North East |
| 8. | F | 54 | Med. Laboratory Scientist | 27 | Christian | South East |
| 9. | M | 45 | Med. Laboratory Scientist | 14 | Muslim | North West |
| 10. | M | 40 | Med. Laboratory Scientist | 9 | Muslim | South West |
| 11. | F | 52 | Nurse | 29 | Christian | South West |
| 12. | F | 31 | Nurse | 10 | Christian | South West |
| 13. | M | 33 | Med. Laboratory Scientist | 7 | Christian | South West |
| 14. | F | 39 | Nurse | 12 | Christian | South West |
| 15. | F | 42 | Nurse | 15 | Christian | South West |