| Literature DB >> 33981370 |
Abdul Rauf Alhassan1, E D Kuugbee2, E M Der3.
Abstract
BACKGROUND: Most morbidities and mortalities related to clinical, diagnostic, and therapeutic procedures are related to infection and the solution to this is good infection prevention and control (IPC) compliance which is influenced by the right knowledge and positive attitude. AIM: This study aimed to assess infection prevention and control (IPC) knowledge and attitude among healthcare workers at the surgical department of Tamale Teaching Hospital (TTH).Entities:
Year: 2021 PMID: 33981370 PMCID: PMC8088377 DOI: 10.1155/2021/6619768
Source DB: PubMed Journal: Can J Infect Dis Med Microbiol ISSN: 1712-9532 Impact factor: 2.471
Sociodemographic characteristic of study respondents.
| Frequency ( | Percent (100%) | ||
|---|---|---|---|
| Sex | Male | 102 | 65.4 |
| Female | 54 | 34.6 | |
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| |||
| Age group | 20–29 | 48 | 30.8 |
| 30–39 | 91 | 58.3 | |
| 40–49 | 12 | 7.7 | |
| 50–59 | 5 | 3.2 | |
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| |||
| Marital status | Married | 109 | 69.9 |
| Single | 47 | 30.1 | |
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| |||
| Education level | Primary | 6 | 3.9 |
| Secondary | 8 | 5.1 | |
| Tertiary | 142 | 91.0 | |
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| |||
| Occupation | Doctor | 22 | 14.1 |
| Nurse | 107 | 68.6 | |
| Anesthetics' | 12 | 7.7 | |
| Orderly | 15 | 9.6 | |
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| |||
| Duration of work | 0–9 | 115 | 73.7 |
| 10–19 | 34 | 21.8 | |
| 20–29 | 5 | 3.2 | |
| 30–39 | 2 | 1.3 | |
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| Duration of work in the surgical department | 0–9 | 148 | 94.9 |
| 10–19 | 7 | 4.5 | |
| 20–29 | 1 | .6 | |
Source: field survey, 2019.
Respondents' response on IPC knowledge.
| Item or question | Correct response | Frequency ( | Percentage |
|---|---|---|---|
| Sources of surgical site wound infections | |||
| Hospital is a source of nosocomial infection | Yes | 151 | 96.8 |
| Nosocomial infection can be transmitted by medical equipment such as syringes, needles, catheters, stethoscopes, thermometers, etc. | Yes | 144 | 92.3 |
| All staffs and patients should be considered potentially infectious regardless of their diagnosis | Yes | 151 | 96.8 |
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| |||
| Knowledge of surgical site wound infection preventive methods | |||
| Do you know how to prevent and control hospital-acquired infections? | Yes | 151 | 96.8 |
| Are you familiar with hospital-acquired infection prevention guidelines? | Yes | 123 | 78.8 |
| There is no infection control team in the hospital | Yes | 75 | 48.1 |
| Microbe organisms are not destroyed by using clean water alone | Yes | 144 | 92.3 |
| Do you know WHO's 5 moments of hand hygiene? | Yes | 72 | 46.2 |
| You cannot handle body fluids with bare hands if gloves are not available | Yes | 142 | 91.0 |
Source: field survey, 2019.
Respondents' response on attitude towards IPC.
| Item or question | Correct response | Frequency ( | Percentage (%) |
|---|---|---|---|
| I have to wash my hands even if i used gloves | Agree | 152 | 97.4 |
| Policies and procedures for infection control should be adhered to at all times | Agree | 151 | 96.8 |
| I should attend in-service training/workshop related to infection prevention and control regularly | Agree | 150 | 96.2 |
| The workload does not affect my ability to apply infection prevention guidelines | Agree | 83 | 53.2 |
| It is my responsibility to comply with the hospital-acquired infection guidelines | Agree | 145 | 92.9 |
| I believe that following the prevention guidelines will reduce rates of hospital-acquired infection | — | 149 | 95.5 |
| I have to follow the procedural guidelines of the unit | Agree | 145 | 92.9 |
Source: field survey, 2019.
Chi-square analysis of the association between respondents' demography and knowledge level on IPC.
| IPC knowledge level | Total |
| df |
| Phi ( | |||
|---|---|---|---|---|---|---|---|---|
| Not knowledgeable | Knowledgeable | |||||||
| Sex | Male | 51 | 51 | 102 | 0.048a | 1 | 0.826 | 0.018 |
| Female | 26 | 28 | 54 | |||||
| Total | 77 | 79 | 156 | |||||
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| Marital status | Married | 60 | 49 | 109 | 4.681a | 1 | 0.030 | 0.173 |
| Single | 17 | 30 | 47 | |||||
| Total | 77 | 79 | 156 | |||||
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| ||||||||
| Age group | 20–29 | 14 | 34 | 48 | 12.336 | 2 | 0.002 | 0.281 |
| 30–39 | 55 | 36 | 91 | |||||
| 40–59 | 8 | 9 | 17 | |||||
| Total | 77 | 79 | 156 | |||||
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| ||||||||
| Educational level | Lower | 14 | 0 | 14 | 15.780a | 1 | ≤0.001 | 0.318 |
| Higher | 63 | 79 | 142 | |||||
| Total | 77 | 79 | 156 | |||||
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| ||||||||
| Occupation | Doctor | 10 | 12 | 22 | 17.262a | 3 | 0.001 | 0.333 |
| Nurse | 46 | 61 | 107 | |||||
| Anesthetics | 6 | 6 | 12 | |||||
| Orderly | 15 | 0 | 15 | |||||
| Total | 77 | 79 | 156 | |||||
Source: field survey, 2019.
Chi-square analysis association between respondents' demography and attitude towards IPC.
| IPC attitude level | Total |
| df |
| Phi/Cramer's | |||
|---|---|---|---|---|---|---|---|---|
| Poor | Good | |||||||
| Sex | Male | 51 | 51 | 102 | 3.133a | 1 | 0.077 | 0.142 |
| Female | 19 | 35 | 54 | |||||
| Total | 70 | 86 | 156 | |||||
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| Marital status | Married | 46 | 63 | 109 | 1.043a | 1 | 0.307 | −0.082 |
| Single | 24 | 23 | 47 | 0.082 | ||||
| Total | 70 | 86 | 156 | — | ||||
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| ||||||||
| Age group | 20–29 | 20 | 28 | 48 | 1.568 | 2 | 0.457 | 0.100 |
| 30–39 | 40 | 51 | 91 | |||||
| 40–59 | 10 | 7 | 17 | |||||
| Total | 70 | 86 | 156 | |||||
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| ||||||||
| Educational level | Lower | 8 | 6 | 14 | 0.936a | 1 | 0.333 | 0.077 |
| Higher | 62 | 80 | 142 | |||||
| Total | 70 | 86 | 156 | |||||
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| ||||||||
| Occupation | Doctor | 13 | 9 | 22 | 7.916a | 3 | 0.048 | 0.225 |
| Nurse | 40 | 67 | 107 | |||||
| Anesthetics' | 8 | 4 | 12 | |||||
| Orderly | 9 | 6 | 15 | |||||
| Total | 70 | 86 | 156 | |||||
Source: field survey, 2019.