| Literature DB >> 29914477 |
Melaku Desta1, Temesgen Ayenew2, Nega Sitotaw3, Nibretie Tegegne4, Muluken Dires3, Mulualem Getie5.
Abstract
BACKGROUND: Healthcare-associated infections are a major global public health agenda. Health care workers are front line of protecting themselves and clients from infection. This study examined the knowledge and practice of healthcare workers on infection prevention and its associated factors among health professionals working at Debre Markos Referral Hospital.Entities:
Keywords: Associated factors; Healthcare associated infection; Knowledge; Practice
Mesh:
Year: 2018 PMID: 29914477 PMCID: PMC6006704 DOI: 10.1186/s12913-018-3277-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Socio demographic characteristics of Debre Markos referral hospital health care workers in Debre Markos town, 2015
| Variable | Frequency | Percentage% | |
|---|---|---|---|
| Age | 21–25 | 58 | 38.66% |
| 26–30 | 82 | 54.66% | |
| 31 and above | 10 | 6.66% | |
| Sex | Male | 93 | 62% |
| Female | 57 | 38% | |
| Marital status | Single | 85 | 56.66% |
| Married | 65 | 43.34% | |
| Religion | Orthodox | 139 | 92.66% |
| Protestant | 4 | 2.66% | |
| Muslim | 7 | 4.66% | |
| Educational status | Msc and above | 20 | 13% |
| BSc | 60 | 40% | |
| Diploma | 70 | 47% | |
| Work experience | < 5 year | 111 | 74% |
| 5–10 year | 29 | 19.3% | |
| > 10 years | 10 | 6.7% | |
| Profession | Physician | 21 | 14% |
| Nurse | 83 | 55.3% | |
| Midwifery | 18 | 12% | |
| Health officer | 3 | 2% | |
| Lab technician | 13 | 8.7% | |
| Othersa | 12 | 8% | |
| Had taken IP training | Yes | 53 | 35.33% |
| No | 97 | 64.67% | |
| IP guideline available | Yes | 68 | 45.3% |
| No | 82 | 54.7% | |
aEmergency surgery, x-ray technicians, anesthetic provider, IP infection prevention
Knowledge of Debre Markos referral hospital health care workers in Debre Markos town, 2015
| Variables | Level of knowledge | Frequency | % |
|---|---|---|---|
| Disinfection prevent health care acquired infections | Yes | 140 | 93.33 |
| No | 10 | 6.67 | |
| Antiseptic prevent health care acquired infection | Yes | 141 | 94 |
| No | 9 | 6 | |
| Chemical sterilization technique used for every equipment | Yes | 58 | 37.31 |
| No | 92 | 62.69 | |
| Physical sterilization (heat/radiation technique used for every equipment | Yes | 50 | 37.31 |
| No | 84 | 62.69 | |
| All microorganisms including spores are destructed by autoclaving | Yes | 110 | 82.1 |
| No | 24 | 17.9 | |
| Every equipment need decontamination before sterilization | Yes | 132 | 88 |
| No | 18 | 12 | |
| Protective device minimizes health care acquired infection | Yes | 131 | 87.33 |
| No | 19 | 12.67 | |
| Wearing gloves replace the need for hand washing | Yes | 55 | 36.67 |
| No | 95 | 63.33 | |
| preparing 0.5% chlorine solution | Yes | 72 | 48 |
| No | 78 | 52 | |
| There is PEP for HIV after exposure. | Yes | 130 | 86.66 |
| No | 20 | 13.34 |
PEP post exposure prophylaxi
Practice of Debre Markos referral hospital health care workers on infection prevention Debre Markos town, 2015
| Variables | Practice | ||
|---|---|---|---|
| Yes | No | ||
| Wash hands with soap before patient care | 66 (44%) | 84 (56%) | |
| Wash hands with soap after patient care/contact with fluid | 100(66.7%) | 50(33.3%) | |
| Wash hands without soap before and after patient care | 70 (46.66) | 80(53.34) | |
| Used all type of personal protective equipment (PPE) | 42(28%) | 108(72%) | |
| Type of PPE in patient care | gloves | 128(85.33) | 22(14.67%) |
| goggles | 140(93.3) | 10(6.7%) | |
| mask | 42(28%) | 108 (72%) | |
| gown | 62(41.33) | 78(58.67%) | |
| Changing time of chlorine solutions | Every 24 h | 85(56.7%) | 65(43.3%) |
| After two days | 45(30%) | 105(70%) | |
| Don’t know | 20(13%) | 130(87%) | |
| Used Infection prevention guideline/evidence | 53(35.3%) | 97(64.7%) | |
| Recap needle before disposing | 48 (32%)) | 102(68%) | |
| History of contact for blood, fluid or stick injury | 98(65.33) | 52(34.67%) | |
| Measures used after exposed for blood/stick injury ( | Taking PEP | 59(60%) | 39(40%) |
| Clean by alcohol | 70(71.5%) | 28(28.5%) | |
| Washing with water | 85(86.7%) | 13(13.3%) | |
| Give health education for patients about HCAI | 97(64.66) | 53(35.34%) | |
| Cover wounds on the skin before you start your work | 98(65.33) | 52(34.67%) | |
| Vaccinated against common pathogen | 43(28.66) | 107(71.34) | |
| Used needles or sharps put on containers | 97(64.66) | 53(35.34%) | |
| Containers disposed of when they are three quarters full | 60(40%) | 90(60%) | |
HCAI Health Care Acquired Infection, IP Infection prevention, PEP Post exposure prophylaxis
Bivariate and Multivariate analysis on assocaited factors towards knowledge of infection prevention among Debre Markos referral hospital health care workers, 2015
| Variable | Knowledgeable | COR (95% CI) | AOR(95 CI) | |||
|---|---|---|---|---|---|---|
| Yes | NO | |||||
| Age | 21–25 | 48 | 10 | 1 | 1 | |
| 26–30 | 73 | 19 | 3.218(1.787–5.793)* | 0.144(0.037–3.555) | 0.3 | |
| 31 and above | 6 | 4 | 2.137(1.9–5.07)* | 3.15(2.467–5.025)* | 0.02* | |
| Sex | Male | 77 | 16 | 3.874(3.808,8.303)* | 2.05(2.139–5.816)* | 0.04* |
| Female | 50 | 7 | 1 | 1 | ||
| Marital status | Single | 69 | 16 | 0.467(0.08–2.468) | ||
| Married | 58 | 7 | 1 | |||
| Religion | Orthodox | 118 | 21 | 2.57(0.073–3.345) | 0.06 | |
| Protestant | 3 | 1 | 3.56(0.934–8.647) | 0.08 | ||
| Muslim | 6 | 1 | 1 | |||
| Educational status | Msc and above | 20 | 0 | 4.24(1.39–6.89)* | 3.034(1.856–4.756)* | 0.01* |
| Bsc | 48 | 12 | 2.59(2.46–7.98)* | 2.15(3.245–8.789)* | 0.035* | |
| Diploma | 59 | 11 | 1 | 1 | ||
| Work experience | < 5 year | 94 | 17 | 1 | 1 | |
| 5–10 year | 23 | 6 | 5.467(0.134–6.567) | 2.467(0.234–3.67) | 0.05 | |
| > 10 year | 10 | 0 | 0.79(1.34–7.54)* | 4.03(1.229–5.68)* | 0.00* | |
| Profession | Physician | 20 | 0 | 1 | 1 | |
| Nurse | 71 | 12 | 0.58(0.25–0.978)* | 0.35(0.075–3.057) | 0.3 | |
| Midwifery | 13 | 5 | 3.280(2.133–10.883)* | 2.45(0.075–2.95) | 0.2 | |
| Health officier | 2 | 1 | 2.874(0.808–5.303) | |||
| Lab technician | 11 | 2 | 4.471(0.282–3.762) | |||
| Others* | 10 | 2 | 6.45(0.758–2.895) | |||
| Had taken IP training | Yes | 52 | 1 | 1 | 1 | |
| No | 75 | 22 | 2.56(3.68–6.98)* | 0.25(1.689–3.95)* | 0.045* | |
| Available IP guideline | Yes | 55 | 13 | 1 | ||
| No | 72 | 10 | 0.345(0.189–3.467) | |||
Others Emergency surgeon, x-ray technicians, anesthetic provider, IP Infection Prevention
* shows statistical significance at p-value < 0.05
Bivariate and Multivariate analysis on assocaited factors of infection prevention practice among Debre Markos referral hospital health care workers, 2015
| Variable | Practice | COR (95%CI) | AOR (95 CI) | |||
|---|---|---|---|---|---|---|
| Good | Poor | |||||
| Age | 21–25 | 33 | 25 | 1 | 1 | |
| 26–30 | 47 | 35 | 2.643(0.961–3.947) | – | ||
| 31 and above | 6 | 4 | 3.53(2.67–5.89)* | 2.04(1.279-4.579)* | 0.02* | |
| Sex | Male | 52 | 41 | 2.450(0.183–6.722) | – | |
| Female | 34 | 23 | 1 | – | ||
| Marital status | Single | 47 | 40 | 4.458(0.581–7.410) | – | |
| Married | 39 | 26 | 1 | – | ||
| Religion | Orthodox | 77 | 62 | 3.573(0.371–8.347) | – | |
| Protestant | 3 | 1 | 2.750(0.183–16.722) | – | ||
| Muslim | 6 | 1 | 1 | – | ||
| Educational status | Msc and above | 14 | 14 | 3.346(2.567–5.872)* | 4.15(1.381-7.41)* | 0.001* |
| Bsc | 30 | 30 | 2.057(2.170–7.56)* | 1.959(1.970-4.685)* | 0.0038* | |
| Diploma | 42 | 28 | 1 | 1 | ||
| Work experience | < 5 year | 54 | 67 | 1 | 1 | |
| 5–10 year | 20 | 9 | 0.367(0.87–5.65) | |||
| > 10 year | 9 | 1 | 2.47(2.98–7.256) | 3.17(1.98–5.674) * | 0.02* | |
| Profession | Physician | 11 | 10 | 1 | 1 | |
| Nurse | 45 | 38 | 2.674(1.88–8.303)* | 2.424(0.139-5.816) | 0.85 | |
| Midwifery | 10 | 8 | 3.906(1.470–4.395) | 1.25 (0.469–3.074) | 0.32 | |
| Health officers | 2 | 1 | 1.571(0.282,4.762) | 2.597(0.695–4.389) | 0.09 | |
| Lab technician | 11 | 2 | 1.653(0.235–3.395) | 0.786(0.967–5.28) | 0.45 | |
| Others* | 7 | 2 | 2.425(1.075,5.8120)* | 2.567(0.457-6.28) | ||
| Had taken IP | Yes | 42 | 11 | 2.63(1.26–5.95)* | 3.97(2.576-5.457) * | 0.008 |
| No | 44 | 53 | 1 | 1 | ||
| Adequate supply of IP | Yes | 62 | 38 | 1.79(1.358–6.53)* | 2.158(1.90-4.357)* | 0.01* |
| No | 24 | 26 | 1 | 1 | ||
| Adherence in IP guidelines | Yes | 38 | 15 | 2.782(1.249–3.985)* | 4.023(2.45–6.359)* | 0.005* |
| No | 48 | 49 | 1 | 1 | ||
*Statistical significance at p value < 0.05 and CI didn’t include 1with AOR