| Literature DB >> 35441088 |
Pabashi Poddar1, Amita Maheshwari1, T S Shylasree1, Shilpa Yadav1, Sadhana Kannan2, Jaya Ghosh1, Seema Gullia1, Sushmita Rath1, Supriya Chopra1, Lavanya Gurram1, Sudeep Gupta1.
Abstract
Aim: To assess the knowledge, attitudes and practices (KAP) regarding the corona virus disease 2019 (COVID-19) pandemic among patients and their attendants visiting the gynaecologic oncology outpatient department (OPD) and to assess the factors associated with a KAP score. Methodology: A KAP cross-sectional survey was conducted over three months exploring KAP relevant to COVID-19. Mann-Whitney U test and Kruskal-Wallis test were used to compare the differences in knowledge, attitude and practice by demographic characteristics. Correlation between knowledge, attitude and practice was done using Spearman's rank correlation test. Binary logistic regression analyses were applied to identify possible determinants of good knowledge, attitude and practice.Entities:
Keywords: COVID-19; Crowding; Face masks; Hygiene; KAP; Pandemic
Year: 2022 PMID: 35441088 PMCID: PMC9011372 DOI: 10.1007/s40944-022-00624-1
Source DB: PubMed Journal: Indian J Gynecol Oncol ISSN: 2363-8400
Demographic profile of participants
| Number | Percentage | |
|---|---|---|
| Female | 321 | 61.6 |
| Male | 200 | 38.4 |
| 18–30 | 109 | 20.9 |
| 30–50 | 159 | 30.5 |
| > 50 | 253 | 48.6 |
| Patient | 246 | 47.2 |
| Relative | 275 | 52.8 |
| Rural | 110 | 21.1 |
| Urban | 411 | 78.9 |
| Primary level of education | 126 | 24.2 |
| Secondary level of education | 192 | 36.9 |
| More than secondary education | 203 | 39.1 |
| Low-income group | 125 | 24.0 |
| Middle-income group | 215 | 41.3 |
| High-income group | 181 | 34.7 |
Distribution of adequate knowledge, positive attitude, and appropriate practices based on the demographics and characteristics of the participants
| Adequate knowledge score | Adequate attitude score | Adequate practice score | ||||
|---|---|---|---|---|---|---|
| Overall | 356 (68.3) | 401(76.96) | 412(79.07) | |||
| .684 | .561 | .580 | ||||
| Male | 135 (67.5) | 152(76) | 159(79.5) | |||
| Female | 221(68.84) | 249(77.57) | 253(78.81) | |||
| Rural | 66(60) | 83(75.45) | 78(70.9) | |||
| Urban | 290(70.55) | 318(77.37) | 334(81.2) | |||
| Primary level of education | 69(54.76) | 80(63.49) | 87(69.04) | |||
| Secondary level of education | 127(66.14) | 142(73.95) | 156(81.25) | |||
| More than secondary education | 160(78.81) | 179(88.17) | 169(83.25) | |||
| .104 | ||||||
| Low-income group | 68(54.4) | 76(60.8) | 91 (72.8) | |||
| Middle-income group | 144(66.97) | 164(76.27) | 166 (77.21) | |||
| High-income group | 144(79.55) | 161(88.95) | 155(85.63) |
Sociodemographic determinants of knowledge score
| Knowledge on clinical presentation | Knowledge on transmission of COVID-19 | Knowledge on treatment of COVID-19 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | ||||
| Gender | .073 | .486 | .220–1.071 | .442 | .796 | .445–1.424 | .123 | .590 | .302–1.153 |
| Rural/urban living | .539 | .852 | .511–1.421 | .130 | .709 | .454–1.107 | .774 | .932 | .576–1.508 |
| Primary level of education | .188 | .608 | .289–1.276 | .715 | .888 | .471–1.675 | .249–.971 | ||
| Secondary level of education | .291 | .711 | .378–1.339 | .701 | .904 | .539–1.514 | .702 | .893 | .500–1.594 |
| Low-income group | .172–.817 | .192–.708 | .505 | .788 | .392–1.586 | ||||
| Middle-income group | .240–.895 | .297–.834 | .536 | .836 | .473–1.477 | ||||
OR odds ratio, CI confidence interval
Sociodemographic determinants of attitude and practice score
| Attitude score on hygiene | Attitude score on distancing | Attitude score on severity of infection | Practice score on hygiene practices | Practice score on distancing | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | ||||||
| Gender | .125 | .601 | .313–1.152 | .584 | .823 | .411–1.650 | .852 | 1.056 | .595–1.873 | .302 | .602 | .229 -1.579 | .522 | 1.306 | .577 |
| Rural/urban living | .334–.851 | .798 | 1.072 | .631–1.822 | .423 | .830 | .526–1.310 | .306–.998 | .113 | .613 | .335 | ||||
| Primary level of education | .143 | .595 | .297–1.191 | .205–.938 | .114 | .590 | .306–1.136 | .259 | .591 | .237 -1.474 | .122 | .490 | .199 1.209 | ||
| Secondary level of education | .627 | .865 | .483–1.551 | .204 | .653 | .338–1.260 | .179 | .692 | .405–1.184 | .935 | .966 | .421 -2.217 | .848 | .924 | .414 -2.062 |
| Low-income group | .105 | .553 | .270––1.132 | .196–.919 | .604 | .839 | .432–1.630 | .145–.994 | .825 | .898 | .347–2.327 | ||||
| Middle-income group | .114 | .625 | .349–1.119 | .239 | .672 | .346–1.302 | .590 | .864 | .509–1.468 | .193 | .570 | .244–1.329 | .391 | .710 | .325–1.551 |
OR odds ratio, CI confidence interval
Relationship between knowledge, attitudes and practices
| Knowledge score | Attitude score | Practice score | ||||
|---|---|---|---|---|---|---|
| Correlation coefficient | Correlation coefficient | Correlation coefficient | ||||
| Knowledge total | 1 | .513 | .000 | .407 | .000 | |
| Attitude total | .513 | .000 | 1 | .407 | .000 | |
| Practice total | .407 | .000 | .407 | .000 | 1 | |