| Literature DB >> 21483713 |
Esmael Habtamu1, Saul N Rajak, Teshome Gebre, Mulat Zerihun, Asrat Genet, Paul M Emerson, Matthew J Burton.
Abstract
BACKGROUND: In 2006 there were an estimated 645,000 people in Amhara, Ethiopia, with trachomatous trichiasis (TT) who needed surgery. Despite an extensive integrated eye care worker training programme (IECW) and robust support for TT surgical services, productivity has not reached targets. We investigated why surgeon productivity was below target. METHODOLOGY/PRINCIPALEntities:
Mesh:
Year: 2011 PMID: 21483713 PMCID: PMC3071367 DOI: 10.1371/journal.pntd.0001014
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1Trichiasis surgeons trained in West Amhara Region, Ethiopia.
Flow diagram showing the numbers trained, identified, interviewed and still working in the TT surgery programme.
Characteristics of the individuals trained in TT surgery in West Amhara Region, Ethiopia.
| Variable | All (N = 225) | IN (N = 94) | LOST (N = 131) | OR | (95% CI) | P | |||
| n | (%) | n | (%) | n | (%) | ||||
|
| 30.7 | (6.5) | 30.3 | (6.9) | 30.9 | (6.1) | 0.49 | ||
|
| 77 | (34.2) | 44 | (46.8) | 33 | (25.2) | 2.61 | (1.48–4.60) | 0.001 |
|
| 101 | (44.9) | 54 | (57.5) | 70 | (53.4) | 1.18 | (0.69–2.01) | 0.551 |
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| Single | 89 | (39.6) | 33 | (35.1) | 56 | (42.8) | 1 | - | - |
| Married | 130 | (57.8) | 58 | (61.7) | 72 | (55.0) | 1.37 | (0.79–2.37) | 0.267 |
| Divorced | 6 | (2.7) | 3 | (3.2) | 3 | (2.3) | 1.70 | (0.32–8.90) | 0.532 |
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| Good road | 180 | (80.0) | 85 | (90.4) | 95 | (72.5) | 3.58 | (1.63–7.86) | 0.001 |
| Water supply | 159 | (70.7) | 72 | (76.6) | 87 | (66.4) | 1.66 | (0.91–3.01) | 0.099 |
| Electric supply | 126 | (56.0) | 69 | (73.4) | 57 | (43.5) | 3.58 | (2.02–6.36) | <0.001 |
| Mobile network | 114 | (50.7) | 74 | (78.7) | 40 | (30.5) | 8.42 | (4.54–15.6) | <0.001 |
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| 0–10 lids | 33 | (14.7) | 19 | (20.2) | 14 | (10.7) | 1 | - | - |
| 11–30 lids | 108 | (48.0) | 44 | (46.8) | 64 | (48.8) | 0.51 | (0.23–1.11) | 0.92 |
| 31+ lids | 84 | (37.3) | 31 | (33.0) | 53 | (40.5) | 0.43 | (0.89–0.98) | 0.044 |
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| Self requested | 4 | (1.8) | 2 | (2.1) | 2 | (1.5) | |||
| Circumstantial | 142 | (63.1) | 61 | (64.9) | 81 | (61.8) | |||
| Ability | 40 | (17.8) | 16 | (17.0) | 24 | (18.3) | |||
| Unknown | 39 | (17.3) | 15 | (16.0) | 24 | (18.3) | |||
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| Junior nurse | 12 | (5.3) | 5 | (5.3) | 7 | (5.3) | |||
| Diploma nurse | 184 | (81.8) | 75 | (79.8) | 109 | (83.2) | |||
| BSc nurse | 29 | (12.9) | 14 | (14.9) | 15 | (11.5) | |||
|
| 107 | (47.6) | 52 | (55.3) | 55 | (42.0) | 1.71 | (1.00–2.9) | 0.049 |
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| Mean, months (SD) | 55 | (25) | 46 | (27) | 61.5 | (22) | <0.001 | ||
Subdivided into those who are (IN) and are not (LOST) working in the programme. Univariate associations are shown for continuing to work in the programme.
*Unpaired t-test.
Figure 2Survival curve for surgeons still working in the Amhara TT surgery programme.
This is with respect to the time since they received their initial training. Vertical bars represent the 95% confidence intervals.
Multivariable logistic regression model for remaining within the TT surgery programme, West Amhara Region, Ethiopia.
| Variable | OR | (95% CI) | P value |
| Sex (female) | 1.44 | (0.69–3.01) | 0.335 |
| Mobile telephone network | 10.04 | (4.71–21.4) | <0.001 |
| Good road access | 3.96 | (1.31–12.0) | 0.015 |
| Time from training | |||
| <2 ears | 1.00 | - | - |
| 2–4 years | 0.05 | (0.01–0.22) | <0.001 |
| 4–6 years | 0.03 | (0.01–0.14) | <0.001 |
| >6 years | 0.02 | (0.01–0.11) | <0.001 |
Surgical productivity in static-sites.
| Variables | All (N = 94) | Operating (N = 51) | Not Operating (N = 43) | OR | (95% CI) | P | |||
| n | (%) | n | (%) | n | (%) | ||||
|
| 30.3 | (6.9) | 31.1 | (7.1) | 29.3 | (6.5) | 0.214 | ||
|
| 44 | (46.8) | 23 | (45.1) | 21 | (48.8) | 0.86 | (0.38–1.94) | 0.717 |
|
| 48 | (51.1) | 31 | (60.8) | 17 | (39.5) | 2.37 | (1.03–5.44) | 0.042 |
|
| 30 | (31.9) | 25 | (49.0) | 5 | (11.6) | 7.31 | (2.48–21.6) | <0.001 |
|
| 49 | (52.1) | 36 | (70.6) | 13 | (30.2) | 5.54 | (2.28–13.4) | <0.001 |
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| 0–10 | 19 | (20.2) | 8 | (15.7) | 11 | (25.6) | 1 | - | - |
| 11–30 | 44 | (46.8) | 22 | (43.1) | 22 | (51.2) | 1.38 | (0.46–4.01) | 0.565 |
| 31+ | 31 | (33.0) | 21 | (41.2) | 10 | (23.3) | 2.89 | (0.89–9.41) | 0.079 |
Factors associated with performing static-site TT surgery for 94 TT surgeons in the programme (univariate OR).
*Unpaired t-test.
Multiple logistic regression model for performing any static-site surgery.
| Variable | OR | (95% CI) | P value |
| Good access to consumables | 8.42 | (2.57–27.5) | <0.001 |
| Advertise programme | 6.31 | (2.34–17.1) | <0.001 |
Barriers to performing surgery.
| Barrier | ALL (N = 225) | IN (N = 94) | LOST (N = 131) | ||||||
| n | (%) | Wt | n | (%) | Wt | n | (%) | Wt | |
| Consumables: none, incomplete | 102 | (45.3) | 292 | 54 | (57.4) | 168 | 48 | (35.6) | 124 |
| Lack of time/Other responsibilities | 101 | (44.9) | 285 | 38 | (40.4) | 108 | 63 | (48.1) | 177 |
| Lack of patients attending | 95 | (42.2) | 258 | 47 | (50.0) | 138 | 48 | (36.6) | 120 |
| Lack of senior support | 75 | (33.3) | 192 | 33 | (35.1) | 83 | 42 | (32.1) | 109 |
| Surgical equipment: none, incomplete | 64 | (28.5) | 204 | 42 | (44.7) | 134 | 22 | (16.8) | 70 |
| Away from work place (sick, training) | 61 | (27.1) | 136 | 22 | (23.4) | 48 | 39 | (29.8) | 88 |
| No financial incentive | 43 | (19.1) | 108 | 16 | (17.0) | 39 | 27 | (20.6) | 69 |
| Problem with sterilising TT sets | 26 | (11.6) | 65 | 6 | (6.4) | 16 | 20 | (15.3) | 49 |
| No suitable place for operating | 21 | (9.3) | 66 | 14 | (14.9) | 45 | 7 | (5.34) | 21 |
| Inadequate training | 2 | (0.9) | 8 | 2 | (2.1) | 8 | 0 | (0) | 0 |
Closed questions to all 225 interviewed surgeons, subdivided into those who are (IN) and are not (LOST) working in the programme. Number (n) and % of surgeons identifying a specific barrier. The weight (Wt) is the sum of the severity weighting score given by each surgeon who identified the specific barrier.