| Literature DB >> 28446847 |
Negalign Berhanu1, Hailay Abrha2, Yohannes Ejigu1, Kifle Woldemichael2.
Abstract
BACKGROUND: Over the past decade, the magnitude and intensity of disasters have been vividly rising globally due to the forces of nature or man. This study aimed at assessing the perceived knowledge, experiences and training needs of health professionals regarding disasters, their prevention and management in Jimma Zone, Southwest Ethiopia.Entities:
Keywords: Ethiopia; Jimma; disaster; experience; health professionals; knowledge; training needs
Mesh:
Year: 2016 PMID: 28446847 PMCID: PMC5389056 DOI: 10.4314/ejhs.v26i5.3
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
Socio-demographic characteristics of the respondents in Jimma Zone, South West Ethiopia, March 2014
| Variables | Frequency | Percent |
| Sex (n=377) | ||
| Male | 224 | 59.4 |
| Female | 153 | 40.6 |
| Age (n=377) | ||
| Less than 20 years | 4 | 1.1 |
| 20–24 years | 71 | 18.8 |
| 25–34 years | 205 | 54.4 |
| 35–44 years | 72 | 19.1 |
| 45 years and above | 25 | 6.6 |
| Marital status (n=377) | ||
| Single | 180 | 47.7 |
| Married | 195 | 51.7 |
| Divorced | 2 | 0.5 |
| Highest level of education attained (n=377) | ||
| Certificate | 9 | 2.4 |
| Diploma | 229 | 60.7 |
| Bachelor's degree | 138 | 36.6 |
| Master's degree | 1 | 0.3 |
| Field of study/profession (n=364) | ||
| Nursing | 222 | 61.0 |
| Medical laboratory | 38 | 10.4 |
| Public health/health officer | 28 | 7.7 |
| Pharmacy | 25 | 6.9 |
| Midwifery | 17 | 4.7 |
| Environmental health | 12 | 3.3 |
| Medicine | 9 | 2.5 |
| Others | 13 | 3.6 |
| Current job position (n=377) | ||
| Head of the organization | 6 | 1.6 |
| Program coordinator | 42 | 11.1 |
| Staff/expert | 329 | 87.3 |
| Service year in the current organization (n=377) | ||
| <1 year | 97 | 25.7 |
| 1–5 years | 193 | 51.2 |
| 6 years and above | 87 | 23.1 |
| Total service year (n=377) | ||
| <1 year | 27 | 7.2 |
| 1–5 years | 194 | 51.5 |
| 6–15 years | 110 | 29.2 |
| 16–25 years | 33 | 8.8 |
| 26 years and above | 13 | 3.4 |
Included Health Education and Behavioral Science, Health Extension Worker, Radiography, Integrated Emergency Obstetric Surgery and Anesthesia
Occurrence of common disasters as reported by health professionals in Jimma Zone, South West Ethiopia, March 2014.
| Disaster category | Frequency | |||
| Very frequent | Frequent | Less frequent | Not at all | |
| N | N | N | N | |
| Transport accidents (n=375) | 62(16.5) | 124(33.1) | 129(34.4) | 60(16.0) |
| Disease epidemic(n=375) | 39(10.4) | 67(17.9) | 196(52.3) | 73(19.5) |
| Infestations(n=375) | 25(6.7) | 60(16.0) | 46(12.3) | 244(65.1) |
| Environmental pollution(n=377) | 23(6.1) | 34(9.0) | 82(21.8) | 238(63.1) |
| Fire(n=376) | 20(5.3) | 41(10.9) | 155(41.2) | 160(42.6) |
| Drought (n=370) | 11(3.0) | 27(7.3) | 71(19.2) | 261(70.5) |
| Flood(n=377) | 10(2.7) | 29(7.7) | 84(22.3) | 254(67.4) |
| Landslide(n=374) | 9(2.4) | 18(4.8) | 31(8.3) | 316(84.5) |
| Earthquake(n=377) | 8(2.1) | 11(2.9) | 44(11.7) | 314(83.3) |
| Explosion(n=371) | 3(0.8) | 10(2.7) | 58(15.6) | 300(80.9) |
Health professionals' knowledge about early warning information, preparedness and response regarding the common disasters, Jimma Zone, South West Ethiopia, March 2014.
| Your knowledge regarding the following areas is: | Ratings | ||
| Adequate | Moderate | Poor | |
| N | N | N | |
| Early warning indicators of a flood disaster | 73(19.4) | 123(32.6) | 181(48.0) |
| Preparedness for a flood disaster | 54(14.3) | 136(36.1) | 187(49.6) |
| Response to a flood disaster | 54(14.3) | 160(42.4) | 163(43.2) |
| Preparedness for disaster due to traffic accident | 42(11.1) | 213(56.5) | 122(32.4) |
| Response to disaster due to traffic accident | 82(21.8) | 205(54.4) | 90(23.9) |
| Preparedness for a fire disaster | 72(19.1) | 193(51.2) | 112(29.7) |
| Response to a fire disaster | 80(21.2) | 192(50.9) | 105(27.9) |
| Early warning indicators of occurrence of drought | 62(16.4) | 136(36.1) | 179(47.5) |
| Preparedness for a disaster due to drought | 46(12.2) | 141(37.4) | 190(50.4) |
| Response to a disaster due to drought | 58(15.4) | 128(34.0) | 191(50.7) |
| Early warning indicators of an outbreak | 98(26.0) | 171(45.4) | 108(28.6) |
| Preparedness for an outbreak | 111(29.4) | 176(46.7) | 90(23.9) |
| Response to an outbreak | 119(31.6) | 179(47.5) | 79(21.0) |
| Composite knowledge | 111(29.4) | 122(32.4) | 144(38.2) |
Health professionals' level of agreement on pre hospital or pre health facility and hospital or health facility based fire management actions, Jimma Zone, South West Ethiopia, March 2014
| Items | Level of agreement | |||
| Don't know | Disagree | Uncertain | Agree | |
| N | N | N | N | |
| Organize and establish control authority (n=377) | 28(7.4) | 22(5.8) | 41(10.9) | 286(75.9) |
| Extinguish the fire | 16(4.2) | 21(5.6) | 46(12.2) | 294(78.0) |
| Conduct Rapid Needs Assessment (n=375) | 19(5.0) | 20(5.3) | 51(13.5) | 285(75.6) |
| Search and Rescue and evacuation of victims (n=376) | 20(5.3) | 23(6.1) | 62(16.4) | 271(71.9) |
| Initial triage and First Aid to the victims (n=377) | 5(1.3) | 6(1.6) | 34(9.0) | 332(88.1) |
| Transport victims to health facility (n=375) | 6(1.6) | 10(2.7) | 31(8.2) | 328(87.0) |
| Use available resources & mobilize for others if needed (n=370) | 4(1.1) | 14(3.7) | 39(10.3) | 313(83.0) |
| Activate hospital or health facility contingency plans (n=376) | 21(5.6) | 18(4.8) | 52(13.8) | 285(75.6) |
| Assess magnitude, severity, number of victims (n=377) | 11(2.9) | 32(8.5) | 67(17.8) | 267(70.8) |
| Establish advance teams to the fire site (n=375) | 13(3.4) | 17(4.5) | 41(10.9) | 304(80.6) |
| Establish receiving mechanism and prepare admission ward (n=371) | 11(2.9) | 11(2.9) | 26(6.9) | 323(85.7) |
| Identification of burn emergency team (n=374) | 11(2.9) | 15(4.0) | 47(12.5) | 301(79.8) |
| Treat and manage victims according to degree of burns (n=374) | 0 | 11(2.9) | 26(6.9) | 337(89.4) |
| Refer the patient to higher health institutions (n=374) | 2(.5) | 15(4.0) | 37(9.8) | 320(84.9) |
| Establish special burn treatment centres (n=375) | 12(3.2) | 39(10.3) | 52(13.8) | 272(72.1) |
| Alleviate shock by fluids, transfusion, surgery etc (n=374) | 9(2.4) | 16(4.2) | 34(9.0) | 315(83.6) |
| Certify death if any and provide mortuary facilities (n=370) | 15(4.0) | 17(4.5) | 38(10.1) | 300(79.6) |
| Keep records and inform appropriate authorities (n=375) | 20(5.3) | 6(1.6) | 22(5.8) | 327(86.7) |
| Monitoring, evaluation and rehabilitation (n=374) | 2(.5) | 8(2.1) | 22(5.8) | 342(90.7) |
Health professionals' needs for in-service short course training in Jimma Zone, South West Ethiopia, March 2014.
| Areas of Training Needed | Not | Little | Important | Very |
| N | N | N | N | |
| Communication skills (n=377) | 4(1.1) | 20(5.3) | 63(16.7) | 290(76.9) |
| Disaster management (n=377) | 11(2.9) | 21(5.6) | 90(23.9) | 255(67.6) |
| Resource mobilization & health economics (n=377) | 6(1.6) | 22(5.8) | 127(33.7) | 222(58.9) |
| Risk analysis (n=375) | 14(3.7) | 25(6.6) | 122(32.4) | 214(56.8) |
| Field epidemiology & ecosystem health (n=374) | 1(.3) | 44(11.7) | 123(32.6) | 206(54.6) |
| Leadership skills (n=377) | 19(5.0) | 47(12.5) | 123(32.6) | 188(49.9) |
Factors associated with perceived health professionals' knowledge about early warning information, preparedness and response regarding the common disasters, Jimma Zone, South West Ethiopia, March 2014.
| Variables | Comprehensive knowledge about common disasters | COR | 95%CI for COR | AOR | 95%CI for AOR | ||
| Poor perceived knowledge | Good perceived knowledge | Total | |||||
| (n=144) | (n=233) | (n=377) | |||||
| Hospital | 40(27.8%) | 66(28.3%) | 106(28.1%) | 0.86 | 0.37,1.98 | 1.04 | 0.28, 3.83 |
| Health center | 93(64.6%) | 146(62.7%) | 239(63.4%) | 0.82 | 0.37,1.78 | 1.02 | 0.29, 3.47 |
| Health office | 11(7.6%) | 21(9.0%) | 32(8.5%) | 1 | - | 1 | - |
| Male | 93(64.6%) | 131(56.2%) | 224(59.4%) | 1.42 | 0.93, 2.18 | 1.27 | 0.79,2.03 |
| Female | 51(35.4%) | 102(43.8%) | 153(40.6%) | 1 | - | ||
| < 20 | 4(2.8%) | 0 (0%) | 4(1.1%) | - | - | - | - |
| 20–24 | 34(23.6%) | 37(15.9%) | 71(18.8%) | 0.72 | 0.29,1.83 | 0.29 | 0.07,1.16 |
| 25–34 | 81(56.2%) | 124(53.2%) | 205(54.4%) | 1.02 | 0.44,2.38 | 0.57 | 0.17,1.9 |
| 35–44 | 15(10.4%) | 57(24.5%) | 72(19.1%) | 2.53 | 0.95,6.76 | 1.52 | 0.45,5.07 |
| >=45 | 10(6.9%) | 15(6.4%) | 25(6.6%) | 1 | 0 | 1 | 0 |
| Single | 73(50.7%) | 107(45.9%) | 180(47.7%) | 1 | - | 1 | - |
| Married | 69(47.9%) | 126(54.1%) | 195(51.7%) | 1.25 | 0.82,1.89 | 0.83 | 0.48,1.43 |
| Head | 2(1.4%) | 4(1.7%) | 6(1.6%) | 1.24 | 0.22,6.87 | 1.91 | 0.29,12.3 |
| Program coordinator | 16(11.1%) | 26(11.2%) | 42(11.1%) | 1.01 | 0.52,1.95 | 1.35 | 0.51,3.59 |
| Staff/expert | 126(87.5%) | 203(87.1%) | 329(87.3%) | 1 | - | 1 | - |
| Certificate | 2(1.4%) | 7(3.0%) | 9(2.4%) | 1 | - | - | - |
| Diploma | 74(51.4%) | 155(66.5%) | 229(60.7%) | 0.59 | 0.12, 2.95 | 0.7 | 0.11,4.38 |
| Bachelor's degree | 67(46.5%) | 71(30.5%) | 138(36.6%) | 0.3 | 0.06,1.51 | 0.45 | 0.07,2.97 |
| Nursing | 71(50.4%) | 151(67.7%) | 222(61.0%) | 1 | - | 1 | - |
| HO | 14(9.9%) | 14(6.3%) | 28(7.7%) | 0.47 | 0.21, 1.04 | 2.65 | 0.68,10.29 |
| MD | 2(1.4%) | 7(3.1%) | 9(2.5%) | 1.65 | 0.33, 8.12 | 1.96 | 0.4, 9.56 |
| Environmental Health | 8(5.7%) | 4(1.8%) | 12(3.3%) | 5.41 | 0.63, 46.1 | ||
| Pharmacy | 14(9.9%) | 11(4.9%) | 25(6.9%) | 1.15 | 0.16, 8.1 | ||
| Lab | 19(13.5%) | 19(8.5%) | 38(10.4%) | 1.03 | 0.21, 5.10 | ||
| Midwifery | 5(3.5%) | 12(5.4%) | 17(4.7%) | 1.13 | 0.38, 3.33 | 1.68 | 0.37, 7.61 |
| Others* | 8(5.7%) | 5(2.2%) | 13(3.6%) | 3.69 | 0.64, 21.2 | ||
| Less than 1 year | 48(33.3%) | 49(21.0%) | 97(25.7%) | 1 | - | 1 | - |
| 1–5 years | 72(50.0%) | 121(51.9%) | 193(51.2%) | 0.45 | 0.17,1.19 | ||
| 6 years and above | 24(16.7%) | 63(27.0%) | 87(23.1%) | 0.92 | 0.39, 2.17 | ||
| 5 years or less | 94(65.3%) | 127(54.5%) | 221(58.6%) | 1 | - | 1 | - |
| More than 5 years | 50(34.7%) | 106(45.5%) | 156(41.4%) | 0.64 | 0.27,1.53 | 0.31 | 1.0,67.8 |
| Yes | 25(17.9%) | 47(20.9%) | 72(19.7%) | 1 | - | 1 | - |
| No | 115(82.1%) | 178(79.1%) | 293(80.3%) | 0.82 | 0.48,1.41 | 0.84 | 0.44,1.61 |