| Literature DB >> 34195126 |
Tapasyapreeti Mukhopadhyay1, Jay Relan2, Arulselvi Subramanian1, Amit Lathwal3.
Abstract
BACKGROUND: Coronavirus disease-2019 (COVID-19) is currently a global public health concern. Thorough knowledge of diagnostics of COVID-19 amongst health care professionals (HCPs) is critical for timely and accurate diagnosis. The aim of the study was to assess the knowledge, attitude, and practice among HCPs related to the laboratory diagnosis of COVID-19.Entities:
Keywords: Coronavirus; SARS-CoV-2; healthcare worker; laboratory medicine; pandemic; public health
Year: 2021 PMID: 34195126 PMCID: PMC8208197 DOI: 10.4103/jfmpc.jfmpc_2459_20
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Demographic characteristics, mean knowledge, and mean practice scores of participants* (n=347)
| Characteristics | Knowledge score (SD) | Practice score (SD) | |||||
|---|---|---|---|---|---|---|---|
| City of work | |||||||
| Tier 1 city | 261 (75.2) | 7.96 (2.22) | 1.081 | 0.281 | 2.75 (1.61) | 2.012 | 0.045 |
| Others | 84 (24.8) | 7.65 (2.40) | 2.35 (1.65) | ||||
| Gender | |||||||
| Female | 144 (41.5) | 7.94 (2.23) | 0.501 | 0.617 | 2.39 (1.64) | -2.520 | 0.012 |
| Male | 203 (58.5) | 7.81 (2.32) | 2.83 (1.60) | ||||
| Age (in years) | |||||||
| <30 | 102 (29.4) | 7.57 (2.15) | 1.307 | 0.272 | 2.64 (1.68) | 0.519 | 0.596 |
| 30-50 | 219 (63.1) | 8.01 (2.36) | 2.69 (1.62) | ||||
| >50 | 26 (7.5) | 7.81 (2.14) | 2.35 (1.52) | ||||
| Profession | |||||||
| Doctor | 270 (77.7) | 8.01 (2.25) | 3.307 | 0.004 | 2.70 (1.57) | 3.487 | 0.002 |
| Medical technologist | 38 (11.0) | 8.08 (2.33) | 3.11 (1.81) | ||||
| Nursing officer | 11 (3.2) | 7.55 (1.57) | 2.00 (1.26) | ||||
| Student/trainee | 25 (7.2) | 6.36 (2.30) | 1.82 (1.70) | ||||
| Scientist | 3 (0.9) | 6.33 (2.08) | 1.00 (1.00) | ||||
| Duration of work experience (years) | |||||||
| <1 | 31 (8.9) | 6.84 (2.24) | 2.00 (1.93) | 2.113 | 0.098 | ||
| 1-5 | 85 (24.5) | 8.01 (2.23) | 2.347 | 0.073 | 2.84 (1.50) | ||
| 5-10 | 101 (29.1) | 7.98 (2.16) | 2.72 (1.63) | ||||
| >10 | 130 (37.5) | 7.92 (2.38) | 2.62 (1.60) | ||||
| Diagnostic facility in hospital | |||||||
| Yes | 260 (74.9) | 7.93 (2.24) | 2.74 (1.67) | 1.864 | 0.063 | ||
| No | 87 (25.1) | 7.68 (2.41) | 0.880 | 0.380 | 2.37 (1.48) | ||
| Involvement in laboratory diagnosis of COVID-19 | |||||||
| Directly | 52 (15.0) | 8.60 (2.07) | 11.041 | 0.000 | 3.96 (1.60) | 38.390 | 0.000 |
| Indirectly | 132 (38.2) | 8.30 (2.18) | 2.91 (1.54) | ||||
| Not involved | 162 (46.8) | 7.28 (2.30) | 2.00 (1.38) | ||||
| Working in COVID-19 diagnostic laboratory | |||||||
| Yes | 19 (5.5) | 8.58 (1.87) | 1.405 | 0.161 | 4.68 (1.38) | 5.871 | 0.000 |
| No | 328 (94.5) | 7.82 (2.30) | 2.53 (1.56) | ||||
| Major information source | |||||||
| CDC or WHO website | 80 (23.1) | 8.05 (2.39) | 1.855 | 0.102 | 3.01 (1.63) | 6.744 | 0.000 |
| Government website | 71 (20.5) | 8.20 (1.79) | 2.99 (1.60) | ||||
| Scientific articles | 79 (22.8) | 8.06 (2.14) | 2.72 (1.40) | ||||
| Workshop or training | 25 (7.2) | 7.88 (2.40) | 3.16 (1.79) | ||||
| Social media | 76 (22.0) | 7.26 (2.57) | 1.84 (1.54) | ||||
| Newspaper | 15 (4.4) | 7.20 (2.54) | 1.93 (1.62) |
*Numbers do not always add up to 347 because of missing responses; continuous data are presented as mean (standard deviation (SD)); categorical data are presented as count (%); COVID-19, coronavirus disease-2019; CDC, Centers for Disease Control and Prevention
Participants’ knowledge on laboratory diagnosis of COVID-19
| S. No | Questions | Responses* |
|---|---|---|
| K1 | Testing is indicated in all asymptomatic healthcare workers | Yes-93 |
| K2 | Antibody detection-based tests are approved for screening | Yes-196 |
| K3 | The first specimen to be collected within 3 days of symptom onset and no later than 7 days | |
| K4 | The person collecting the sample for testing and receiving the sample in the laboratory must be wearing PPE | |
| K5 | The nasopharyngeal swab is the preferred specimen over the oropharyngeal swab | |
| K6 | A cotton swab should be used for taking the sample | Yes-216 |
| K7 | The swab can be transported in a tube containing sterile saline | |
| K8 | The temperature during transport of specimen should be 4 ºC | |
| K9 | Induction of sputum is recommended wherever possible | Yes-71 |
| K10 | Confirmed/suspected COVID-19 specimens to be labelled as UN2814 Category A, Infectious substance | Yes-149 |
| K11 | Real-time reverse transcription (rRT-PCR) assay is the confirmatory diagnostic test done in a BSL-2 setup | |
| K12 | If a specimen is positive for all three genes namely E-Sarbeco, RdRP and RNase P then it is reported as COVID-19 positive | |
| K13 | Being the internal control of the test, a negative status of RNase P gene mandates repeat rRT-PCR of the same specimen | |
| K14 | All negative samples need to be discarded within 7 days | |
| K15 | The biomedical waste (BMW) generated while processing samples for diagnosis of COVID-19 cases may be discarded like any other BMW | Yes-70 |
*Correct responses in bold format with percentage in parenthesis. Abbreviations: COVID-19, coronavirus disease-2019; PPE, personal protective equipment
Multinomial logistic regression analyses predicting knowledge scores with ‘low score’ as the reference category
| Odds ratios of higher knowledge score with demographic characteristics ( | ||||
|---|---|---|---|---|
| Variablesa | High score | Average score | ||
| Crude OR (95% CI) | Adjusted OR (95% CI) | Crude OR (95% CI) | Adjusted OR (95% CI) | |
| Place of work | ||||
| Tier 1 city vs others | 2.082 (0.755-5.737) | 1.639 (0.505-5.324) | 1.327 (0.680-2.592) | 1.095 (0.485-2.470) |
| Gender | ||||
| Female vs male | 1.339 (0.582-3.077) | 1.150 (0.462-2.863) | 1.085 (0.587-2.007) | 0.947 (0.475-1.887) |
| Age (years) | ||||
| <30 | 0.800 (0.110-5.819) | 0.849 (0.073-9.922) | 0.752 (0.199-2.844) | 0.993 (0.171-5.773) |
| 30-50 | 1.409 (0.220-9.008) | 1.184 (0.151-9.272) | 0.671 (0.189-2.382) | 0.614 (0.147-2.575) |
| >50 | Referent | Referent | Referent | Referent |
| Profession | ||||
| Doctor | Referent | Referent | Referent | Referent |
| Medical technologist | 0.810 (0.226-2.903) | 0.742 (0.182-3.029) | 0.761 (0.293-1.981) | 0.768 (0.263-2.240) |
| Nursing officer | 0.971 (0.058-16.163) | 0.602 (0.033-11.055) | 1.522 (0.187-12.404) | 1.254 (0.141-11.156) |
| Student/trainee | 0.000 | 0.000 | 0.362 (0.138-0.954)* | 0.296 (0.051-1.729) |
| Scientist | 0.000 | 0.000 | 0.338 (0.030-3.834) | 0.229 (0.017-3.124) |
| Duration of experience (years) | ||||
| <1 | 0.176 (0.020-1.578) | 1.340 (0.072-25.116) | 0.750 (0.284-1.978) | 1.497 (0.209-10.724) |
| 1-5 | 1.460 (0.523-4.075) | 1.804 (0.463-7.030) | 1.266 (0.570-2.812) | 1.224 (0.406-3.693) |
| 5-10 | 1.029 (0.358-2.957) | 0.913 (0.287-2.907) | 1.503 (0.696-3.247) | 1.351 (0.572-3.189) |
| >10 | Referent | Referent | Referent | Referent |
| Presence of diagnostic facility in hospital | ||||
| Yes vs no | 1.173 (0.458-3.007) | 0.909 (0.294-2.810) | 1.153 (0.586-2.271) | 1.163 (0.519-2.608) |
| Involvement in laboratory diagnosis of COVID-19 | ||||
| Direct | 2.308 (0.653-8.157) | 1.536 (0.335-7.046) | 1.711 (0.703-4.162) | 0.944 (0.301-2.960) |
| Indirect | 6.581 (2.413-17.949)‡ | 4.713 (1.591-13.961)† | 3.445 (1.579-7.516)† | 2.591 (1.106-6.070)* |
| Not involved | Referent | Referent | Referent | Referent |
| Working in lab | ||||
| Yes vs no | 1.250 (0.076-20.614) | 1.424 (0.068-29.705) | 3.571 (0.465-27.458) | 4.294 (0.441-41.808) |
| Major information source | ||||
| CDC or WHO website | Referent | Referent | Referent | Referent |
| Government website | 5.000 (0.388-64.387) | 4.024 (0.274-59.089) | 6.200 (1.331-28.876)* | 6.184 (1.185-32.286)* |
| Scientific articles | 4.400 (0.418-46.261) | 3.610 (0.292-44.606) | 2.320 (0.608-8.858) | 2.495 (0.565-11.018) |
| Workshop/training | 2.118 (0.205-21.885) | 1.828 (0.161-20.726) | 1.176 (0.326-4.246) | 1.105 (0.285-4.283) |
| Social media | 3.000 (0.211-42.624) | 2.541 (0.154-41.947) | 1.800 (0.368-8.800) | 1.376 (0.253-7.479) |
| Newspaper | 4.000 (0.388-41.228) | 2.924 (0.243-35.223) | 1.867 (0.500-6.963) | 1.740 (0.403-7.512) |
The reference category is: low score; level of significance: *P<0.05, †P<0.01, ‡P<0.001. Abbreviations: COVID-19, coronavirus disease-2019; CDC, Centers for Disease Control and Prevention
Figure 1Attitude of HCPs on laboratory diagnosis of COVID-19
Participants’ response for practice towards laboratory diagnosis of COVID-19
| S. No | Statements | |
|---|---|---|
| P1 | I have attended/organized workshop(s) or training program(s) on sample collection, transport and testing of suspected COVID-19 cases at my workplace | 91 (26.2) |
| P2 | I have consulted national/international guidelines to answer diagnosis-related queries of friends/relatives/patients | 252 (72.6) |
| P3 | I regularly post information related to COVID-19 on social media to create awareness | 38 (11.0) |
| P4 | I have discussed about COVID-19 diagnostic modalities with colleagues involved in the laboratory diagnosis to clear my doubts | 168 (48.4) |
| P5 | I have gone through online resources/webinars/YouTube videos to learn more about the detection of COVID-19 cases | 175 (50.4) |
| P6 | We have a separate bin in our workplace for discarding biomedical waste of suspected patients with COVID-19. | 195 (56.2) |
COVID-19, coronavirus disease-2019
Binomial logistic regression analyses predicting practice scores with ‘suboptimal scores” as the reference category
| Odds ratios of higher practice score with demographic characteristics (n=347) | ||
|---|---|---|
| Variables | Odd ratios | |
| Crude (95% CI) | Adjusted (95% CI) | |
| City of work | ||
| Tier 1 city vs others | 1.409 (0.813-2.443) | 1.471 (0.739-2.929) |
| Gender | ||
| Female vs male | 0.666 (0.417-1.066) | 0.577 (0.332-1.003) |
| Age (in years) | ||
| <30 | 1.545 (0.594-4.019) | 1.283 (0.337-4.886) |
| 30-50 | 1.146 (0.459-2.857) | 0.672 (0.212-2.133) |
| >50 | Referent | Referent |
| Profession | ||
| Doctor | Referent | Referent |
| Medical technologist | 1.556 (0.778-3.112) | 1.501 (0.635-3.550) |
| Nursing officer | 0.214 (0.027-1.698) | 0.207 (0.024-1.786) |
| Student/trainee | 0.629 (0.225-1.762) | 1.599 (0.334-7.644) |
| Scientist | 0.000 | 0.000 |
| Duration of experience (in years) | ||
| <1 | 0.581 (0.221-1.530) | 0.320 (0.067-1.534) |
| 1-5 | 1.536 (0.863-2.736) | 1.528 (0.0671-3.480) |
| 5-10 | 1.123 (0.639-1.974) | 1.015 (0.488-2.107) |
| >10 | Referent | Referent |
| Presence of diagnostic facility in hospital | ||
| Yes vs no | 1.275 (0.745-2.181) | 0.760 (0.383-1.510) |
| Involvement in laboratory diagnosis of COVID-19 | ||
| Direct | 9.040 (4.482-18.233)‡ | 6.272 (2.590-15.190)‡ |
| Indirect | 2.560 (1.488-4.403)† | 2.346 (1.264-4.352)† |
| Not involved | Referent | Referent |
| Working in lab | ||
| Yes vs no | 13.477 (3.837-47.334) | 5.488 (1.361-22.125)* |
| Major information source | ||
| CDC or WHO website | Referent | Referent |
| Government website | 1.145 (0.592-2.213) | 1.734 (0.807-3.725) |
| Scientific articles | 0.722 (0.371-1.406) | 1.121 (0.512-2.454) |
| Workshop/training | 2.238 (0.899-5.571) | 4.639 (1.561-13.788)† |
| Social media | 0.363 (0.171-0.769)† | 0.707 (0.298-1.678) |
| Newspaper | 0.271 (0.057-1.284) | 0.270 (0.031-2.383) |
Level of significance: *P<0.05, †P<0.01, ‡P<0.001. COVID-19, coronavirus disease-2019; CDC, Centers for Disease Control and Prevention