| Literature DB >> 34983693 |
Belinda Joseph Mligo1, Calvin Sindato2,3, Richard B Yapi4,5, Coletha Mathew6, Ernatus M Mkupasi6, Rudovick R Kazwala6, Esron D Karimuribo6,2.
Abstract
BACKGROUND: Brucellosis an important zoonotic disease worldwide, which frequently presents as an undifferentiated febrile illness with otherwise varied and non-specific clinical manifestations. Despite its importance, there are few reports on its awareness among frontline health workers. This study aimed at assessing the baseline knowledge, attitude and practice (KAP) related to detection and management of brucellosis among frontline health workers (FHWs) namely; healthcare workers (HWs) and community health workers (CHWs).Entities:
Keywords: Attitude; Brucellosis; Frontline health workers; Knowledge; Practices; Tanzania
Year: 2022 PMID: 34983693 PMCID: PMC8725462 DOI: 10.1186/s42522-021-00056-5
Source DB: PubMed Journal: One Health Outlook ISSN: 2524-4655
Fig. 1The map showing selected ward health facilities in Kilosa and Chalinze districts in Tanzania. Map created by ArcView GIS software version 3.2. Shapefiles for administrative boundaries from the 2012 census were sourced from the Tanzania National Bureau of Statistics
Participant’s socio demographic characteristics in Kilosa and Chalinze districts
| Variable | Chalinze ( | Kilosa ( | |||
|---|---|---|---|---|---|
| Total ( | Frequency | Percentage | Frequency | Percentage | |
| Female | 23 | 12 | 37.5 | 11 | 34.4 |
| Male | 41 | 20 | 62.5 | 21 | 65.6 |
| 21–30 | 19 | 6 | 18.8 | 13 | 40.6 |
| 31–40 | 18 | 13 | 40.6 | 5 | 15.6 |
| 41–50 | 15 | 7 | 21.9 | 8 | 25 |
| > 50 | 12 | 6 | 18.8 | 6 | 18.8 |
| No education | 3 | 2 | 6.3 | 1 | 3.1 |
| Incomplete primary | 1 | 1 | 3.1 | 0 | 0 |
| Primary | 23 | 12 | 37.5 | 11 | 34.4 |
| Secondary | 11 | 2 | 6.3 | 9 | 28.1 |
| College | 26 | 15 | 46.9 | 11 | 34.4 |
| Medical officer | 6 | 1 | 3.1 | 5 | 15.6 |
| Medical Assistant | 18 | 10 | 31.3 | 8 | 25 |
| Nurse | 6 | 3 | 9.4 | 3 | 9.4 |
| Midwife | 2 | 2 | 6.3 | 0 | 0 |
| Community health worker | 32 | 16 | 50 | 16 | 50 |
| 0–10 | 34 | 20 | 62.5 | 14 | 43.8 |
| 11–20 | 13 | 7 | 21.9 | 6 | 18.8 |
| 21–30 | 11 | 3 | 9.4 | 8 | 25 |
| 31–40 | 6 | 2 | 6.3 | 4 | 12.5 |
| Less than a year | 6 | 3 | 9.4 | 4 | 12.5 |
| 1–5 years | 26 | 19 | 59.4 | 20 | 62.5 |
| > 5 years | 32 | 10 | 31.3 | 8 | 25.0 |
Association between sociodemographic factors and overall knowledge, attitude and practice scores of the healthcare workers (N = 32)
| Variable | Knowledge (%) | Practice (%) | Attitude (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Poor | Good | Poor | Good | Negative | Positive | ||||
| Female | 6(35.3) | 2(13.3) | 0.229 | 3(17.6) | 5(33.3) | 0.423 | 3(33.3) | 5(21.7) | 0.654 |
| Male | 11(64.7) | 13(86.7) | 14(82.4) | 10(66.7) | 6(66.7) | 18(78.3) | |||
| 21–30 | 8(47.1) | 6(40.0) | 0.016* | 8(47.1) | 6(40.0) | 0.954 | 2(22.2) | 12(52.2) | 0.428 |
| 31–40 | 8(47.1) | 2(13.3) | 5(29.4) | 5(33.3) | 4(44.4) | 6(26.1) | |||
| 41–50 | 0(0.0) | 5(33.3) | 2(11.8) | 3(20.0) | 2(22.2) | 3(13.0) | |||
| > 50 | 1(5.9) | 2(13.3) | 2(11.8) | 1(6.7) | 1(11.1) | 2(8.7) | |||
| Secondary | 4(23.5) | 2(13.3) | 0.659 | 4(23.5) | 2(13.3) | 0.659 | 1(11.1) | 5(21.7) | 0.648 |
| College | 13(76.5) | 13(86.7) | 13(76.5) | 13(86.7) | 8(88.9) | 18(78.3) | |||
| Medical officer | 9(52.9) | 9(60.0) | 0.467 | 8(47.1) | 10(66.7) | 0.179 | 4(44.4) | 14(60.9) | 0.164 |
| Medical Assistant | 2(11.8) | 4(26.7) | 5(29.4) | 1(6.7) | 2(22.2) | 4(17.4) | |||
| Nurse | 4(23.5) | 2(13.3) | 4(23.5) | 2(13.3) | 1(11.1) | 5(21.7) | |||
| Midwives | 2(11.8) | 0(0.0) | 0(0.0) | 2(13.3) | 2(22.2) | 0(0.0) | |||
| 0–10 | 14(82.4) | 9(60.0) | 0.14 | 11(64.7) | 12(80.0) | 0.316 | 5(55.6) | 18(78.3) | 0.445 |
| 11–20 | 3(17.6) | 3(20.0) | 5(29.4) | 1(6.7) | 3(33.3) | 3(13.0) | |||
| 21–30 | 0(0.0) | 3(20.0) | 1(5.9) | 2(13.3) | 1(11.1) | 2(8.7) | |||
| < 1 year | 3(17.6) | 1(6.7) | 0.795 | 3(17.6) | 1(6.7) | 0.795 | 0(0.0) | 4(17.4) | |
| 1–5 years | 13(76.5) | 13(86.7) | 13(76.5) | 13(86.7) | 9(100) | 17(73.9) | |||
| > 5 years | 1(5.9) | 1(6.7) | 1(5.9) | 1(6.7) | 0(0.0) | 2(8.7) | |||
*Chi-square /Fisher Exact test significance at < 0.05
Association between sociodemographic factors and the mean score in knowledge, practice and attitude of the community health workers (N = 32)
| Variable | Knowledge (%) | Practice (%) | Attitude (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Poor | Good | Poor | Good | Negative | Positive | ||||
| Female | 12(52.2) | 3(33.3) | 0.444 | 14(50.0) | 1(25.0) | 0.603 | 12(48.0) | 3(42.9) | 1.000 |
| Male | 11(47.8) | 6(66.7) | 14(50.0) | 3(75.0) | 13(52.0) | 4(57.1) | |||
| 21–30 | 2(8.7) | 3(33.3) | 0.309 | 5(17.9) | 0(0.0) | 0.251 | 2(8.0) | 3(42.9) | 0.028* |
| 31–40 | 7(30.4) | 1(11.1) | 7(25.0) | 1(25.0) | 7(28.0) | 1(14.3) | |||
| 41–50 | 8(34.8) | 2(22.2) | 7(25.0) | 3(75.0) | 10(40.0) | 0(0.0) | |||
| > 50 | 6(26.1) | 3(33.3) | 9(32.1) | 0(0.0) | 6(24.0) | 3(42.9) | |||
| No formal education | 3(13.0) | 0(0.0) | 0.085 | 2(7.1) | 1(25.0) | 0.508 | 3(12.0) | 0(0.0) | 0.024* |
| Incomplete primary | 0(0.0) | 1(11.1) | 1(3.6) | 0(0.0) | 0(0.0) | 1(14.3) | |||
| Primary | 18(78.3) | 5(55.6) | 20(71.4) | 3(75.0) | 20(80.0) | 3(42.9) | |||
| Secondary | 2(8.7) | 3(33.3) | 5(17.9) | 0(0.0) | 2(8.0) | 3(42.9) | |||
| 0–10 | 7(30.4) | 4(44.4) | 0.309 | 10(35.7) | 1(25.0) | 0.324 | 8(32.0) | 3(42.9) | 0.39 |
| 11–20 | 7(30.4) | 0(0.0) | 6(21.4) | 1(25.0) | 7(28.0) | 0(0.0) | |||
| 21–30 | 5(21.7) | 3(33.3) | 8(28.6) | 0(0.0) | 5(20.0) | 3(42.9) | |||
| 31–40 | 4(17.4) | 2(22.2) | 4(14.3) | 2(50.0) | 5(20.0) | 1(14.3) | |||
| < 1 year | 3(13.0) | 0(0.0) | 0.616 | 3(10.7) | 0(0.0) | 0.74 | 3(12.0) | 0(0.0) | 0.576 |
| 1–5 years | 8(34.8) | 5(55.6) | 12(42.9) | 1(25.0) | 9(36.0) | 4(57.1) | |||
| > 5 years | 12(52.2) | 4(44.4) | 13(46.4) | 3(75.0) | 13(52.0) | 3(42.9) | |||
*Chi-square test/fisher exact significance at < 0.05
Fig. 2Awareness of healthcare workers (HWs) on other zoonotic diseases in Kilosa and Chalinze districts
Fig. 3Community health workers’(CHWs) awareness on other zoonotic diseases in Kilosa and Chalinze districts
Challenges regarding detection and reporting of brucellosis in Kilosa and Chalinze districts
| Kilosa, n (16) | Chalinze, n (16) | |
|---|---|---|
| n (%) | n (%) | |
| Inadequate knowledge and skills | 14(87.5) | 15(93.8) |
| Lack of diagnostic resources | 14(87.5) | 15(93.8) |
| Inadequate human resources | 5(31.3) | 13(81.3) |
| Unspecific nature of clinical signs | 9(56.3) | 15(93.8) |
| Inadequate community awareness | 10(62.5) | 15(93.8) |
| Late presentation of cases to health facility | 8(50.0) | 11(68.8) |
| Inadequate collaboration with relevant sectors | 8(50.0) | 12(75.0) |
| Drug deficiency in the health facilities | 4(25.0) | 7(43.6) |
| Ineffective drug to treat the diseases | 1(6.3) | 7(43.6) |
| Inadequate knowledge and skills | 2(12.5) | 7(43.6) |
| Long distance to the health facilities | 1(6.3) | 0(0.0) |
| Unreliable transport | 2(12.5) | 0(0.0) |
| Inadequate community awareness | 2(12.5) | 2(12.5) |
| Late presentation of cases to health facility | 0(0.0) | 1(6.3.0) |