| Literature DB >> 34250117 |
Vanya Singh1, Sakshi Supehia2, Puneet Kumar Gupta1, Himanshu Narula1, Maneesh Sharma3, Komal Devi1, Ashish Ramesh Bhute4.
Abstract
BACKGROUND: Continuous pertinent trainings for infection prevention and control (IPC) measures are essential to ensure quality health-care services along with the safety of the health personnel. Amid the COVID-19 pandemic, the current study focusses on the utilization of explicated video modules training of all health-care personnel of the institute and assessment of the effectiveness of video training for IPC practices during COVID-19 pandemic.Entities:
Keywords: COVID-19; infection control; training; video modules
Year: 2021 PMID: 34250117 PMCID: PMC8249972 DOI: 10.4103/jehp.jehp_1009_20
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Youtube link of video modules used for training
| Video content | Link |
|---|---|
| Do’s and Don’ts, hand hygiene | |
| Donning and doffing of PPE | |
| Cleaning and disinfection |
Training schedule for each session
| Schedule of video assisted training program | |
|---|---|
| Activity | Time (min) |
| Arrival/sign-in with expectations form | 5 |
| Pretest | 15 |
| Introduction to Infection Control Programme by infection control officer or a trained tutor/resident/infection control nurse | 10 |
| Video module 1 - Do’s and Don’ts | 15 |
| Video module 2 - Hand hygiene | 15 |
| Video module 3 - Donning and doffing of personal protective equipment | 15 |
| Video module 4 - Cleaning and disinfection | 15 |
| Sample collection and transport | 15 |
| Discussion | 10 |
| Posttest and feedback form | 5 |
Level of knowledge
| Scoring knowledge score | Score | ||
|---|---|---|---|
| Level of knowledge | Sub-variable | Percentage | |
| Inadequate | Very poor | <20 | <3 |
| Poor | 20-40 | 3-7 | |
| Moderate | Average | 41-60 | 8-10 |
| Good | 61-80 | 11-15 | |
| Adequate | Very good | 81-90 | 16-17 |
| Excellent | >91 | >17 | |
Demographic variables of participants and their association with “pre- and post-test score” of health-care professionals (n=407)
| Demographic variables | Pretest Mean±SD | One-way ANOVA test ( | Posttest Mean±SD | One-way ANOVA test (F) or | |
|---|---|---|---|---|---|
| Age† (years) | |||||
| 21-25 | 130 (31.9) | 10.8±2.4 | <0.001* | 13.9±2.4 | <0.001* |
| 26-30 | 187 (45.9) | 9.4±2.6 | 12.4±2.9 | ||
| 31-35 | 80 (19.6) | 9.4±2.5 | 12.2±2.9 | ||
| >35 | 10 (2.4) | 7.5±2.3 | 10.9±1.8 | ||
| Gender‡ | |||||
| Male | 229 (56.3) | 9.7±2.7 | 0.340 | 12.8±2.9 | 0.793 |
| Female | 178 (43.7) | 9.9±2.5 | 12.8±2.9 | ||
| Designation† | |||||
| Faculty | 12 (2.9) | 8.6±1.8 | <0.001* | 11.6±1.6 | <0.001* |
| Residents | 110 (27.1) | 9.8±2.4 | 12.8±2.5 | ||
| MBBS | 77 (18.9) | 11.4±2.4 | 14.6±2.3 | ||
| Nursing officers | 203 (49.8) | 9.3±2.6 | 12.3±3.0 | ||
| Technicians | 5 (1.2) | 7.2±2.5 | 8.8±2.8 | ||
| Years of experience† | |||||
| <1 | 91 (22.3) | 10.9±2.4 | <0.001* | 13.7±2.5 | 0.005* |
| 1-5 | 242 (59.4) | 9.5±2.6 | 12.5±2.9 | ||
| 5-10 | 52 (12.7) | 9.9±2.1 | 12.8±3.1 | ||
| >10 | 22 (5.4) | 9.3±3.3 | 12.2±2.5 | ||
| Previous training† | |||||
| Yes | 151 (37.1) | 9.6±2.8 | 0.019* | - | - |
| No | 189 (46.4) | 9.7±2.4 | - | ||
| May be | 67 (16.5) | 10.6±2.5 | - |
*Significant (<0.05), †One way ANOVA, ‡t-test. SD=Standard deviation
Figure 1Level of knowledge in pretest and posttest among the health-care professionals (n = 407)
Association of level of knowledge in pretest and demographic variables among health-care professionals (n=407)
| Demographic variables | Pretest level of knowledge score, | Total ( | Chi-square test ( | ||
|---|---|---|---|---|---|
| Inadequate | Moderate | Adequate | |||
| Age in years | |||||
| 21-25 | 6 (4.6) | 120 (92.3) | 4 (3.1) | 130 | 31.01 (0.000)* |
| 26-30 | 48 (25.7) | 136 (72.7) | 3 (1.6) | 187 | |
| 31-35 | 14 (17.5) | 65 (81.3) | 1 (1.3) | 80 | |
| >35 | 5 (50) | 5 (50) | 0 | 10 | |
| Gender | |||||
| Male | 49 (21.4) | 175 (76.4) | 5 (2.2) | 229 | 4.509 (0.105) |
| Female | 24 (13.5) | 151 (84.8) | 3 (1.7) | 178 | |
| Designation | |||||
| Faculty | 3 (25) | 9 (75) | 0 | 12 | 28.72 (0.000)* |
| Residents | 15 (13.6) | 94 (85.5) | 1 (0.9) | 110 | |
| MBBS | 3 (3.9) | 69 (89.6) | 5 (6.5) | 77 | |
| Nursing officers | 50 (24.6) | 151 (74.4) | 2 (1) | 203 | |
| Technicians | 2 (40) | 3 (60) | 0 | 5 | |
| Years of experience | |||||
| <1 | 5 (5.5) | 82 (90.1) | 4 (4.4) | 91 | 23.805 (0.001)* |
| 1-5 | 54 (22.3) | 186 (76.9) | 2 (0.8) | 242 | |
| 5-10 | 6 (11.5) | 45 (86.5) | 1 (1.8) | 52 | |
| >10 | 8 (36.4) | 13 (59.1) | 1 (4.5) | 22 | |
| Previous training | |||||
| Yes | 31 (20.5) | 117 (77.5) | 3 (2) | 151 | 5.1 (0.277) |
| No | 34 (18) | 153 (81) | 2 (1.1) | 189 | |
| May be | 8 (11.9) | 56 (83.6) | 3 (4.5) | 67 | |
*P is significant i.e., <0.05
Comparison of mean pre- and post-test knowledge scores for different domains among health-care professionals (n=407)
| Domains | Maximum score | Mean±SD | Estimation of 95% CI | Student’s paired | Paired sample | |
|---|---|---|---|---|---|---|
| Pretest score | Posttest score | |||||
| Do and don’t | 2 | 1.1±0.67 | 1.3±0.67 | 0.11-0.24 | 5.5* | 0.001* |
| Hand hygiene | 6 | 3.2±1.40 | 4.1±1.35 | 0.7-0.95 | 12.9* | 0.001* |
| PPE | 4 | 2.0±1.08 | 2.8±1.00 | 0.65-0.88 | 12.9* | 0.001* |
| Cleaning and disinfection | 7 | 3.5±1.19 | 4.7±1.23 | 1.06-1.35 | 16.5* | 0.001* |
| Total | 19 | 9.8±2.62 | 12.8±2.9 | 2.71-3.24 | 22.11* | 0.001* |
*P is significant i.e., <0.05; CI=Confidence interval, SD=Standard deviation, PPE=Personal protective equipment
Figure 2Comparison of pretest and posttest scores of individual questions in the four domains among health-care professionals (n = 407)
Figure 3Percentages of scores obtained in pretest and posttest among different domains with relative gain of scores after video training among health-care professionals (n = 407)
Figure 4Distribution of feedback questions with each Likert scale of disagree, neutral, and agree in the number and percentage among health-care professionals (n = 407)
Figure 5Distribution of feedback questions with each Likert scale of yes, no, and maybe in number and percentage among health-care professionals (n = 407)