| Literature DB >> 27706162 |
Jean Frantz Lemoine1, Anne Marie Desormeaux1, Franck Monestime2, Carl Renad Fayette2, Luccene Desir3,4, Abdel Nasser Direny5, Sarah Carciunoiu6, Lior Miller6, Alaine Knipes7, Patrick Lammie7, Penelope Smith8, Melissa Stockton5, Lily Trofimovich9, Kalpana Bhandari5, Richard Reithinger5, Kathryn Crowley5, Eric Ottesen5, Margaret Baker5.
Abstract
Lymphatic filariasis (LF) and soil-transmitted helminths (STH) have been targeted since 2000 in Haiti, with a strong mass drug administration (MDA) program led by the Ministry of Public Health and Population and its collaborating international partners. By 2012, Haiti's neglected tropical disease (NTD) program had reached full national scale, and with such consistently good epidemiological coverage that it is now able to stop treatment for LF throughout almost all of the country. Essential to this success have been in the detail of how MDAs were implemented. These key programmatic elements included ensuring strong community awareness through an evidence-based, multi-channel communication and education campaign facilitated by voluntary drug distributors; strengthening community trust of the drug distributors by ensuring that respected community members were recruited and received appropriate training, supervision, identification, and motivation; enforcing a "directly observed treatment" strategy; providing easy access to treatment though numerous distribution posts and a strong drug supply chain; and ensuring quality data collection that was used to guide and inform MDA strategies. The evidence that these strategies were effective lies in both the high treatment coverage obtained- 100% geographical coverage reached in 2012, with almost all districts consistently achieving well above the epidemiological coverage targets of 65% for LF and 75% for STH-and the significant reduction in burden of infection- 45 communes having reached the target threshold for stopping treatment for LF. By taking advantage of sustained international financial and technical support, especially during the past eight years, Haiti's very successful MDA campaign resulted in steady progress toward LF elimination and development of a strong foundation for ongoing STH control. These efforts, as described, have not only helped establish the global portfolio of "best practices" for NTD control but also are poised to help solve two of the most important future NTD challenges-how to maintain control of STH infections after the community-based LF "treatment platform" ceases and how to ensure appropriate morbidity management for patients currently suffering from lymphatic filarial disease.Entities:
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Year: 2016 PMID: 27706162 PMCID: PMC5051938 DOI: 10.1371/journal.pntd.0004954
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Geographic regions of partner support for the National NTD Program (2000–2014). Data Source: USAID’s NTD Database.
Disclaimer: Data may have not yet been approved by at least one level in the USAID NTD data review process.
Fig 2Number of people treated and cumulative number of treatments given by program year.
Fig 3Cascade training.
Treatment coverage in Haiti, 2009–2014.
| 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | |
|---|---|---|---|---|---|---|
| National LF Program | ||||||
| Geographical coverage | - | 64.2% | 100.0% | 100.0% | 80.7% | 71.0% |
| National coverage—LF (ALB+DEC) | 35.4% | 42.9% | 90.3% | 75.2% | 64.0% | 48.1% |
| # persons treated (nationwide) | 3,058,566 | 3,947,635 | 8,789,048 | 8,071,399 | 7,047,600 | 5,469,024 |
| # persons treated (with ENVISION support) | 2,111,826 | 3,599,143 | 4,784,104 | 4,848,373 | 4,998,704 | 5,159,277 |
| # communes where infection threshold reached and MDA stopped | 0 | 0 | 0 | 0 | 0 | 47 |
| National STH Program | ||||||
| National STH coverage (ALB+DEC integrated MDA) | 30.8% | 42.0% | 89.4% | 79.9% | 71.8% | Unavailable |
| National STH coverage: (second round ALB only) | 59.1% | 58.5% | 15.5% | |||
| Epidemiological Coverage in ENVISION-supported Areas | ||||||
| # districts supported | 46 | 76 | 106 | 106 | 106 | 97 |
| Average epi. coverage | 86.2% | 94.2% | 93.9% | 89.7% | 90.1% | 90.0% |
| # communes with <65% epi. coverage | 3 | 2 | 1 | 5 | 1 | 1 |
*Taken from WHO NTD Database: http://www.who.int/neglected_diseases/preventive_chemotherapy/lf/en/
**Reduced numbers over the years reflect the fact that treatment has been stopped in an increasing number of communes.
Results of surveys conducted in 2012 and 2013 to assess treatment coverage rates.
| Region/commune (Year) | Reported epidemiological (at risk) coverage | Survey sample size | Survey epidemiological (at risk) coverage | Design effect |
|---|---|---|---|---|
| Northwest/Baie-de-Henne (2012) | 69.7% | 866 | 69.6% (61.0%–78.0%) | 7.1 |
| Artibonite/Desdunes (2012) | 82.6% | 988 | 82.7% (76.0%–89.0%) | 6.3 |
| Artibonite/Gros-Morne (2012) | 82.1% | 728 | 86.0% (80.0%–92.0%) | 5.7 |
| Northwest/Jean-Rabel (2012) | 87.2% | 926 | 90.4% (87.0%–93.0%) | 2.2 |
| North/Limbé (2012) | 87.5% | 902 | 91.7% 89.0%–95.0% | 2.5 |
| North/Pignon (2012) | 80.9% | 1,002 | 90.7% (88.0%–93.0%) | 2.1 |
| South/Aquin (2013) | 102.0% | 1,913 | 87.0% (82.0%–92.0%) | 5.4 |
| Southeast/Cayes-Jacmel (2013) | 102.45% | 2,354 | 90.7% (88.0%–94.0%) | 5.3 |
| Southeast/Jacmel (2013) | 83.8% | 2,134 | 80.2% (74.0%–86.0%) | 5.4 |
| Nippes/L’Asile (2013) | 87.9% | 1,178 | 93.4% (91.0%–96.0%) | 2.8 |
| Northeast/Mombin-Crochu (2013) | 87.4% | 1,184 | 87.0% (83.0%–91.0%) | 6.0 |
| Northeast/Ouanaminthe (2013) | 114.3% | 1,111 | 88.6% (86.0%–92.0%) | 4.1 |
| Nippes/Petite-Rivière-de-Nippes (2013) | 89.9% | 1,033 | 91.1% (87.0%–95.0%) | 4.8 |
1Design effect is a measure of the ratio of true sampling variance under a specific design over the variance that would have resulted if the sample had been drawn as a simple unclustered random sample. The higher the design effect, the lower the precision of the estimates.
Variables associated with treatment outcomes.
| Predictor variable | % (n) persons who TOOK TREATMENT | ||||
|---|---|---|---|---|---|
| Persons responding positively to predictor % (n) | Of those with POSITIVE response to predictor variable | Of those with NEGATIVE responses to predictor variable | Adjusted odds ratio | Adjusted p-value | |
| Knew MDA was going to happen in advance | |||||
| 2012 | 95.3% (1,182) | 97.9% (1,157) | 88.1% (52) | 5.8 | 0.0005 (3.89) |
| 2013 | 89.6% (3,205) | 90.1% (2,888) | 45.5% (153) | 12.1 | <0.001 (9.7) |
| Accurately report signs and symptoms of LF | |||||
| 2012 | 84.6% (1,050) | 97.8% (1,027) | 95.3% (182) | 1 | 0.06 (1.93) |
| 2013 | 59.6% (2,133) | 88.9% (1,896) | 79.9% (1,154) | 1.8 | 0.002 (3.47) |
| Accurately report prevention strategies for LF | |||||
| 2012 | 27.9% (346) | 97.7% (338) | 97.3% (871) | 1 | 0.10 (1.71) |
| 2013 | 47.5% (1,699) | 90.8% (1,543) | 80.2% (1,507) | 2.7 | <0.001 (5.6) |
| Report easy access to treatment at posts | |||||
| 2012 | 96.2% (1,194) | 98.8% (1,180) | 61.7% (29) | 30.0 | <0.001 (5.4) |
| 2013 | 82.3% (2,943) | 96.7% (2,845) | 32.3% (205) | 56.2 | <0.001 (13.9) |
1Responding “leg swelling/elephantiasis,” OR “hydrocele,” OR “chyluria,” OR “unable to work or cannot work as much as before” to the question “What are the signs and symptoms of LF?”
2Responding “use bed nets,” OR “avoid mosquito bites,” OR “take LF treatment” to the question “How is LF prevented?”
3Responding “close” OR “not too far” to the question “What would you say about the distance of the distribution post from your house?” AND “yes” to the question “Was the time the distribution post was open good for you?” AND “no” to the question “Did you ever go to a distribution post for pills and find that no one was there?”
4 The odds ratio, adjusted for age and gender, compares the odds of taking treatment for those responding positively to predictor variables with the odds of taking treatment for those who responded negatively. For example, the odds of taking treatment, for those who knew the MDA was going to happen compared with those who did not know.
5 P-value, adjusted for age and gender, based on t-test from logistic regression analysis.
6 2012 survey sample size = 1,241 with completed KAP questions.
72013 survey sample size = 3,577 with completed KAP questions.
Sentinel sites and spot checks data.
| Commune (Department) | Number of consecutive MDA rounds conducted prior to assessment | Baseline ICT prevalence FY 01 | Sentinel site ICT prevalence FY 14/15 | Number of persons tested | District-level reported epi. coverage by FY | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| ‘09 | ‘10 | ‘11 | ‘12 | ‘13 | ‘14 | |||||
| Les Cayes (South) | 3 | 4.0% | 0.19% | 515 | - | - | 88% | 74% | 88% | 85% |
| Port-à-Piment (South) | 3 | 2.5% | 0.77% | 517 | - | - | 79% | 91% | 94% | 96% |
| Abricots (Grand’Anse) | 3 | 1.0% | 0.00% | 455 | - | - | 87% | 79% | 70% | 81% |
| Pestel (Grand’Anse) | 3 | 1.0% | 1.15% | 520 | - | - | 81% | 77% | 94% | 90% |
| Caracol (Northeast) | 4 | 20.0% | 0.77% | 517 | - | 104% | 97% | 117% | 90% | 101% |
| Sainte-Suzanne (Northeast) | 4 | 7.0% | 0.19% | 532 | - | 79% | 73% | 66% | 74% | 73% |
| Trou-du-Nord (Northeast) | 4 | 5.0% | 0.4% | 510 | - | 91% | 90% | 87% | 103% | 141% |
| Jacmel (Southeast) | 5 | 2.5% | 0.40% | 500 | 104% | 87% | 69% | 80% | 84% | S |
| Anse-à-Pitres (Southeast) | 5 | 2.5% | 0.19% | 527 | 91% | 70% | 69% | 72% | 68% | S |
| Anse-à-Veau (Nippes) | 5 | 4.0% | 0.60% | 510 | 90% | 89% | 94% | 109% | 88% | S |
| L’Asile (Nippes) | 5 | 3.0% | 0.20% | 505 | 85% | 84% | 79% | 83% | 88% | S |
| Anse-à-Foleur (Northwest) | 6 | 3.0% | 0.00% | 517 | 80% | 104% | 84% | 88% | 86% | 75% |
| Chansolme (Northwest) | 6 | 7.0% | 0.20% | 504 | 151% | 151% | 104% | 87% | 85% | 76% |
| Port-de-Paix (Northwest) | 6 | 34.0% | 502 | 110% | 96% | 100% | 96% | 95% | 95% | |
| Limbé (North) | 6 | 19.0% | 0.60% | 510 | N/A | 104% | 108% | 112% | 101% | 79% |
| Dondon (North) | 7 | 14.0% | 0.00% | 510 | N/A | 101% | 105% | 104% | 111% | 104% |
| Milot (North) | 7 | 31.0% | 507 | N/A | 83% | 99% | 89% | 91% | 85% | |
| Limonade (North) | 7 | 37.0% | 0.98% | 510 | N/A | 95% | 109% | 97% | 127% | 91% |
| Quartier-Morin (North) | 7 | 39.0% | 510 | N/A | 90% | 124% | 96% | 103% | 100% | |
| Plaisance (North) | 7 | 30.0% | 0.40% | 510 | 66% | 77% | 104% | 93% | 90% | 90% |
| Acul-du-Nord (North) | 7 | 28.0% | 510 | N/A | 98% | 98% | 106% | 83% | 91% | |
| Plaine-du-Nord (North) | 8 | 45.0% | 1.20% | 502 | N/A | 100% | 124% | 89% | 102% | 99% |
| Cap-Haïtien (North) | 8 | 28.0% | 0.40% | 510 | N/A | 109% | 99% | 89% | 81% | 85% |
S = surveillance phase.
FY, fiscal year; ICT, immunochromatographic test.
Fig 4Decline in LF antigen level from start of program until 2014.
Fig 5Project costs (FY 2010–2014).
Fig 6Theory of change for NTD programs.