| Literature DB >> 24099153 |
Pawlos Reji1, Getachew Aga, Gemeda Abebe.
Abstract
BACKGROUND: Tuberculosis (TB) remains major cause of morbidity and mortality due to any one of infectious agent worldwide. In low income countries, Ziehl-Neelsen sputum smear microscopy is the only cost-effective tool for diagnosis and monitoring of patients on treatment. In order to have efficient AFB microscopy centers, it is imperative to have continuous refresher training for laboratory professionals and strong External Quality Assessment (EQA) system). However, very little data exists as to the effect of in-service training on performance of laboratory personnel in Ethiopia.The objective of this study was to investigate the role of AFB microscopy refresher training on the performance of laboratory professionals.Entities:
Mesh:
Year: 2013 PMID: 24099153 PMCID: PMC3851756 DOI: 10.1186/1472-6963-13-392
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Evaluation system for AFB microscopy errors
| Negative | Correct | LFN | HFN | HFN | HFN |
| 1–9 AFB/100 field | LFP | Correct | Correct | QE | QE |
| 1+ | HFP | Correct | Correct | Correct | QE |
| 2+ | HFP | QE | Correct | Correct | Correct |
| 3+ | HFP | QE | QE | Correct | Correct |
LFP- low false positive, HFP- high false positive, LFN- low false negative, HFN- high false negative, QE- quantification error.
Frequency distribution of characteristics of trainees, Adama regional laboratory, 2009
| Male | 259(82.0) | |
| Female | 57(18.0) | |
| Diploma | 238(75.3) | |
| Degree | 78(24.7) | |
| 0–3 | 207(65.5) | |
| 4–7 | 63(19.9) | |
| 8–11 | 37(11.7) | |
| 12–15 | 4(1.3) | |
| > = 20 | 5(1.6) | |
| Yes | 147(46.5) | |
| No | 169(53.5) | |
| Government | 236(74.3) | |
| Private | 80(25.7) | |
Figure 1Distribution of trainees by service year and qualification, Adama regional laboratory, 2009.
Pre and post training theoretical mean score on smear reading by different characteristics of trainees, Adama regional laboratory, 2009
| Male | 61.8 | 15.3 | 0.857 | 83.9 | 11.6 | 0.578 | |
| Female | 62.2 | 16.2 | 85.5 | 11.9 | |||
| Diploma | 61.8 | 13.9 | 0.970 | 85.5 | 11.2 | 0.001* | |
| Degree | 61.7 | 19.4 | 80.1 | 12.3 | |||
| 0–3 | 62.5 | 16.0 | 0.987 | 83.4 | 11.8 | 0.904 | |
| 4–7 | 57.8 | 15.6 | 85.4 | 11.3 | |||
| 8–11 | 63.9 | 10.0 | 86.5 | 11.2 | |||
| 2–15 | 59.5 | 16.3 | 88.0 | 10.4 | |||
| > = 20 | 67.6 | 18.9 | 81.4 | 14.7 | |||
| Yes | 62.5 | 16.6 | 0.461 | 85.2 | 12.1 | 0.129 | |
| No | 61.1 | 14.4 | 83.3 | 11.4 | |||
| Government | 62.4 | 16.4 | 0.126 | 83.8 | 12.1 | 0.354 | |
| Private | 59.8 | 12.0 | 85.2 | 10.2 | |||
SD = standard deviation, * = statistically significant.
Pre and post training practical mean score on smear reading by different characteristics of trainees, Adama regional laboratory, 2009
| Male | 75.2 | 13.9 | 0.386 | 89.1 | 10.8 | 0.986 | |
| Female | 78.3 | 15.6 | 89.9 | 11.3 | |||
| Diploma | 76.0 | 13.5 | 0.134 | 90.3 | 10.2 | 0.008* | |
| Degree | 74.7 | 16.4 | 86.2 | 12.1 | |||
| 0–3 | 75.8 | 15.0 | 0.396 | 88.7 | 11.3 | 0.737 | |
| 4–7 | 76.8 | 12.9 | 91.8 | 8.7 | |||
| 8–11 | 72.5 | 12.5 | 87.5 | 11.8 | |||
| 2–15 | 73.8 | 11.7 | 90.8 | 6.2 | |||
| > = 20 | 83.2 | 11.7 | 93.8 | 8.5 | |||
| Yes | 84.7 | 10.0 | <0.0001* | 91.9 | 10.9 | <0.0001* | |
| No | 67.9 | 12.7 | 87.0 | 10.3 | |||
| Government | 75.9 | 15.3 | 0.660 | 88.5 | 11.3 | 0.011* | |
| Private | 75.2 | 10.6 | 91.7 | 9.1 | |||
SD = Standard deviation, * = statistically significant.
Distribution of trainees by microscopic smear reading error type before and after training, Adama regional laboratory, 2009
| 66.2 | 57.0 | 0.020* | |
| 12.4 | 1.4 | <0.0001* | |
| 3.4 | 3.3 | 0.549 | |
| 3.5 | 2.3 | 0.062 | |
| 5.5 | 1.0 | 0.031* | |
| 9.0 | 35.0 | <0.0001* |
* = statistically significant.
Pre and post training error by characteristics of trainees, Adama regional laboratory, 2009
| Male | 246(95) | 13(5) | 0.208 | 179(69.1) | 80(30.9) | 0.064 | |
| Female | 52(91.2) | 5(8.8) | 32(56.1) | 25(43.9) | |||
| Diploma | 227(95.4) | 11(4.6) | 0.125 | 152(69.9) | 86(36.1) | 0.071 | |
| Degree | 71(91.0) | 7(9.0) | 59(75.6) | 19(24.4) | |||
| 0–3 | 196(94.7) | 11(5.3) | 0.492 | 143(69.1) | 64(30.9) | 0.280 | |
| 4–7 | 58(92.1) | 5(7.9) | 38(60.3) | 25(37.7) | |||
| 8–11 | 36(97.3) | 1(2.7) | 25(67.6) | 12(32.4) | |||
| 12–15 | 4(100) | 0(0) | 3(75.0) | 1(25.0) | |||
| > = 20 | 4(80) | 1(20) | 2(40.0) | 3(60.0) | |||
| Yes | 130(88.4) | 17(11.6) | <0.0001* | 75(51.0) | 72(49.0) | <0.0001* | |
| No | 168(99.4) | 1(0.6) | 136(80.5) | 33(19.5) | |||
| Government | 219(92.8) | 17(7.2) | 0.051 | 164(77.7) | 47(23.3) | 0.099 | |
| Private | 79(98.8) | 1(1.2) | 72(68.6) | 33(31.4) | |||
* = statistically significant.