| Literature DB >> 35464709 |
Abdulqadir J Nashwan1,2, Glenn Ford D Valdez3, Sadeq Al-Fayyadh4, Hani Al-Najjar5, Hossam Elamir6, Muna Barakat7, Joseph U Almazan8, Ibtesam O Jahlan9, Hawa Alabdulaziz10, Nabil E Omar11, Fade Alawneh5, I Ketut Andika Priastana12, Aiman Alhanafi13, Bilal Abu-Hussein14, Malik Al-Shammari15, Marwa M Shaban16, Mostafa Shaban17, Hayder Al-Hadrawi18, Mohammed B Al-Jubouri4, Sabah A Jaafar19, Shaymaa M Hussein4, Ayat J Nashwan20, Mohammed A Alharahsheh20, Nisha Kader21, Majid Alabdulla21,22, Ananth Nazarene23, Mohamed A Yassin24, Ralph C Villar1.
Abstract
Background: Health care providers (HCPs) have always been a common target of stigmatization during widespread infections and COVID-19 is not an exception. Aim: This study aims to investigate the prevalence of stigmatization during the COVID-19 pandemic among HCPs in seven different countries using the Stigma COVID-19 Healthcare Providers tool (S19-HCPs). Design: Cross-sectional.Entities:
Keywords: COVID-19; Healthcare providers; Mental health; S19-HCPs; Stigma
Year: 2022 PMID: 35464709 PMCID: PMC9015722 DOI: 10.1016/j.heliyon.2022.e09300
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Participants’ characteristics
| Variable | N | % |
|---|---|---|
| Physician | 405 | 23.5 |
| Nurse | 932 | 54.0 |
| Pharmacist | 250 | 14.5 |
| Allied health | 139 | 8.1 |
| Male | 765 | 44.3 |
| Female | 952 | 55.2 |
| I don’t want to disclose | 9 | .5 |
| 20–30yrs | 627 | 36.3 |
| 31–40yrs | 698 | 40.4 |
| 41–50yrs | 282 | 16.3 |
| 51+ | 119 | 6.9 |
| 1–5yrs | 766 | 44.4 |
| 6–10yrs | 300 | 17.4 |
| 11–20yrs | 467 | 27.1 |
| 21+ | 193 | 11.2 |
| Yes | 989 | 57.3 |
| No | 737 | 42.7 |
| Yes | 1348 | 78.1 |
| No | 378 | 21.9 |
| Iraq | 251 | 14.5 |
| Jordan | 385 | 22.3 |
| Egypt | 151 | 8.7 |
| KSA | 187 | 10.8 |
| Indonesia | 104 | 6.0 |
| Philippines | 320 | 18.5 |
| Kuwait | 328 | 19.0 |
Test Statistics between study variables and demographic variables.
| Association between variables of the participants and COVID 19 stigma | Fear of getting infected with COVID 19 | Following precaution from getting infected with COVID 19 | Readiness to care COVID 19 patients | Perception towards the caregivers of the patient with COVID 19 | Satisfaction on COVID center’s provisions for safety | Attitude towards the patient with COVID 19 | |
|---|---|---|---|---|---|---|---|
| Occupation | Chi-Square | 19.951 | 8.113 | 4.401 | 14.033 | 6.674 | 33.805 |
| df | 3 | 3 | 3 | 3 | 3 | 3 | |
| Asymp. Sig. | .000 | .044 | .221 | .003 | .083 | .000 | |
| Gender | Chi-Square | .106 | 1.961 | 3.196 | .562 | 15.284 | 20.124 |
| df | 2 | 2 | 2 | 2 | 2 | 2 | |
| Asymp. Sig | .949 | .375 | .202 | .755 | .000 | .000 | |
| Age | Chi-Square | 6.038 | 9.164 | 15.126 | 33.576 | 12.896 | 32.090 |
| df | 3 | 3 | 3 | 3 | 3 | 3 | |
| Asymp. Sig | .110 | .027 | .002 | .000 | .005 | .000 | |
| Years of healthcare experience | Chi-Square | 119.929 | 175.194 | 154.051 | 289.513 | 31.613 | 7.125 |
| df | 3 | 3 | 3 | 3 | 3 | 3 | |
| Asymp. Sig. | .000 | .000 | .000 | .000 | .000 | .068 | |
| Working status at COVID facility | Chi-Square | 63.929 | 101.920 | 63.788 | 198.917 | 2.738 | 2.617 |
| df | 1 | 1 | 1 | 1 | 1 | 1 | |
| Asymp. Sig. | .000 | .000 | .000 | .000 | .098 | .106 | |
| Training | Chi-Square | 24.303 | 42.517 | 11.097 | 22.057 | 10.246 | 15.539 |
| df | 1 | 1 | 1 | 1 | 1 | 1 | |
| Asymp. Sig. | .000 | .000 | .001 | .000 | .001 | .000 | |
| Nationality | Chi-Square | 251.749 | 464.367 | 115.293 | 181.165 | 564.414 | 252.530 |
| df | 6 | 6 | 6 | 6 | 6 | 6 | |
| Asymp. Sig. | .000 | .000 | .000 | .000 | .000 | .000 | |
Variables and difference in mean COVID-19 stigma scores.
| Fear of getting infected with COVID 19 | Following precaution from getting infected with COVID 19 | Readiness to care COVID 19 patients | Perception towards the caregivers of the patient with COVID 19 | Satisfaction on COVID center’s provisions for safety | Attitude towards the patient with COVID 19 | ||
|---|---|---|---|---|---|---|---|
| Occupation | physician | 956.84 | 877.86 | 823.95 | 787.16 | 826.57 | 753.77 |
| nurse | 840.49 | 879.98 | 867.92 | 891.77 | 888.63 | 919.21 | |
| pharmacist | 821.94 | 804.83 | 903.52 | 856.39 | 826.51 | 824.88 | |
| allied health | 820.59 | 816.69 | 877.09 | 909.18 | 869.15 | 879.17 | |
| Gender | male | 867.51 | 866.00 | 886.42 | 873.46 | 913.14 | 918.21 |
| female | 860.48 | 863.38 | 846.03 | 855.56 | 824.43 | 817.23 | |
| I don’t want to disclose | 842.56 | 664.00 | 763.17 | 856.67 | 776.94 | 1108.17 | |
| Age | 20–30yrs | 840.42 | 885.35 | 923.20 | 949.93 | 913.59 | 920.11 |
| 31–40yrs | 856.49 | 831.92 | 838.55 | 833.58 | 846.29 | 873.56 | |
| 41–50yrs | 923.11 | 907.86 | 819.74 | 789.54 | 827.93 | 722.34 | |
| 51+ | 884.97 | 828.52 | 798.98 | 758.85 | 784.80 | 840.71 | |
| Years of experience in Healthcare | 1–5yrs | 1006.29 | 1016.54 | 1026.71 | 1085.28 | 920.21 | 847.65 |
| 6–10yrs | 728.09 | 741.30 | 775.69 | 752.26 | 884.70 | 932.10 | |
| 11–20yrs | 763.43 | 751.68 | 726.76 | 677.41 | 808.81 | 853.36 | |
| 21 + yrs | 749.39 | 716.59 | 683.11 | 606.47 | 737.81 | 844.31 | |
| Worked in a COVID-19 designated facility or Quarantine centers | Yes | 944.22 | 953.75 | 945.63 | 1007.92 | 879.73 | 880.03 |
| No | 755.18 | 742.40 | 753.29 | 669.70 | 841.72 | 841.32 | |
| Training | Yes | 894.03 | 899.26 | 884.51 | 893.00 | 844.24 | 838.79 |
| No | 754.63 | 735.99 | 788.56 | 758.30 | 932.18 | 951.62 | |
| Nationality | Iraq | 728.82 | 793.83 | 879.89 | 925.80 | 1127.52 | 1184.58 |
| Jordan | 686.89 | 736.04 | 834.19 | 762.19 | 738.62 | 903.78 | |
| Egypt | 668.09 | 719.17 | 910.34 | 726.69 | 993.32 | 924.80 | |
| KSA | 741.93 | 744.04 | 576.15 | 540.06 | 652.44 | 765.75 | |
| Indonesia | 666.57 | 813.94 | 695.30 | 681.43 | 664.35 | 1169.50 | |
| Philippines | 1446.11 | 1379.17 | 1305.18 | 1473.82 | 1000.90 | 647.60 | |
| Kuwait | 827.17 | 713.61 | 650.06 | 644.42 | 797.70 | 711.64 | |