| Literature DB >> 33823796 |
Erkihun Tadesse Amsalu1, Tesfaye Alemayehu Messele2, Metadel Adane3.
Abstract
BACKGROUND: The elder population suffered from social, economic, and health (which includes physical) related problems. Thus, these problems are complex and interrelated, thereby requiring specific knowledge and expertise to meet them. However, there were limited researches previously done to explore nurse's knowledge towards geriatric care. Therefore, this study aimed to assess knowledge towards geriatric care and to examine its predictors in North east Ethiopia. The findings will be helpful to develop strategies that would promote nurses' knowledge, which in turn improves the quality of patient care and consequently, the health of older people.Entities:
Keywords: Adult care unit; Ethiopia; Geriatric care; Knowledge; Nurses
Year: 2021 PMID: 33823796 PMCID: PMC8025520 DOI: 10.1186/s12877-021-02156-3
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
sample size determination for factors associated with knowledge towards elder care by using double population proportion formula
| No | Factors | Power | Ratio | CI | Outcome in % | AOR | Sample size | |
|---|---|---|---|---|---|---|---|---|
| Unexposed | Exposed | |||||||
| 1 | Level of education | 80% | 1:1 | 95% | 23 | 54.8 | 4 | 86 |
| 2 | Year of Experience | 80% | 1:1 | 95% | 15.4 | 48.2 | 2.4 | 114 |
| 3 | Marital status | 80% | 1:1 | 95% | 15.9 | 35.8 | 2.4 | 260 |
Socio-demographic characteristics of participants working in the adult admission unit of public hospitals in Bahr-Dar Town, North West Ethiopia, 2020 (n = 335)
| No | Variables | Category | Frequency | Percent |
|---|---|---|---|---|
| 1 | Hospitalcurrently working | Felege Hiwot | 161 | 48.1 |
| Tibebe Ghion | 134 | 40 | ||
| Addis Alem | 40 | 11.9 | ||
| 2 | Sex | Male | 148 | 44.2 |
| Female | 187 | 55.8 | ||
| 3 | Age | 21–29 | 130 | 38.8 |
| 30–39 | 121 | 36.1 | ||
| ≥40 | 84 | 25.1 | ||
| 4 | Marital status | Single | 140 | 41.79 |
| Married | 188 | 56.11 | ||
| Divorced | 7 | 2.1 | ||
| 5 | Level of education | Diploma | 112 | 33.4 |
| Degree | 221 | 66 | ||
| Masters | 2 | 0.6 | ||
| 6 | Ever lived with the elder | Yes | 193 | 57.6 |
| No | 142 | 42.4 | ||
| 7 | Year of experience | 1–5 | 114 | 34 |
| 5–10 | 84 | 25.1 | ||
| > 10 | 137 | 40.9 |
Institutional and professional related characteristics of participants working in the adult admission units in Bahr- Dar Town, North West Ethiopia, 2020 (n = 335)
| No | Variable | Category | Frequency | Percent |
|---|---|---|---|---|
| 1 | Follow elder care policy guideline | Yes | 158 | 47.2 |
| No | 177 | 52.8 | ||
| 2 | Worked inadequate space during care provision | Yes | 142 | 42.4 |
| No | 193 | 57.6 | ||
| 3 | Like to communicate with elder patient/family | Yes | 226 | 67.5 |
| No | 109 | 32.5 | ||
| 4 | Give home care for the elderly | Yes | 155 | 46.3 |
| No | 180 | 53.7 | ||
| 5 | Study elder content | Yes | 143 | 42.7 |
| No | 192 | 57.3 | ||
| 6 | Happy studying elder content | Yes | 109 | 74.3 |
| No | 37 | 25.7 | ||
| 7 | Type of learning program | Extension | 89 | 26.6 |
| Regular | 246 | 73.4 | ||
| 8 | Type of learning organization | Government | 200 | 59.7 |
| Private | 135 | 40.1 | ||
| 9 | Like to work after reward | Yes | 100 | 84.0 |
| No | 19 | 16.0 | ||
| 10. | Type of working unit/ward | Medical | 84 | 25.1 |
| Surgical | 79 | 23.6 | ||
| Emergency | 60 | 17.9 | ||
| OR | 34 | 10.1 | ||
| Adult ICU | 19 | 5.6 | ||
| Gynecology | 26 | 7.8 | ||
| Neurology | 21 | 6.3 | ||
| Oncology | 12 | 3.6 | ||
| 11 | Taken geriatric training at hospital | Yes | 115 | 34.3 |
| No | 220 | 65.7 | ||
| 12 | Getting training | Yes | 122 | 36.4 |
| No | 213 | 63.6 |
Predictors of knowledge on elderly care among study participants, 2020 (n = 335)
| Variables | Knowledge on elderly care | COR(95% CI) | AOR(95%CI) | |
|---|---|---|---|---|
| Poor | Good | |||
| Currently living with elderly at home | ||||
| Yes | 97(50.5) | 97(67.8) | 1 | 1 |
| No | 95(49.5) | 46(32.2) | 2.06(1.3–3.2) | 1.6(1.05–2.7) * |
| Age | ||||
| 21–29 | 90(46.9) | 40(28.0) | 3.3(1.8–5.8) | 1.6(0.5–5.5) |
| 30–39 | 68(35.4) | 53(37.0) | 1.8(1.07–3.3) | 1.1(0.5–2.2) |
| > 40 | 34(17.7) | 50(35.0) | 1 | 1 |
| Years of Experience | ||||
| 1–5 | 78(44.1) | 36(25.9) | 3.1(1.8–5.27) | 2.7(1.5–4.9) ** |
| 5–10 | 58(24.3) | 26(15.8) | 3.2(1.8–5.7) | 2.5(1.4–4.4) ** |
| > 10 | 56(31.6) | 81(58.3) | 1 | 1 |
| Level of education | ||||
| Diploma | 80(41.7) | 32(22.4) | 2.5(1.5–4.0) | 1.9(1.1–3.2) * |
| Degree and above | 112(58.3) | 111(77.6) | 1 | 1 |
| Typeof learning organization | ||||
| Government | 130(67.7) | 70(49.0) | 1 | 1 |
| Private | 62(32.3) | 73(51.0) | 0.45(0.3–0.7) | 0.6(0.3–1.03) |
COR Crude odds ratio, CI Confidence interval, AOR Adjusted odds ratio, 1: Reference category, *: significant at p < 0.05, **: Significant at p < 0.001.