| Literature DB >> 28493966 |
Nana-Kwadwo Biritwum1, Bertha Garshong2, Bright Alomatu1, Dziedzom K de Souza3, Margaret Gyapong4, Dominique Kyelem5.
Abstract
The Global Program to Eliminate Lymphatic Filariasis (GPELF) advocates for the treatment of entire endemic communities, in order to achieve its elimination targets. LF is predominantly a rural disease, and achieving the required treatment coverage in these areas is much easier compared to urban areas that are more complex. In Ghana, parts of the Greater Accra Region with Accra as the capital city are also endemic for LF. Mass Drug Administration (MDA) in Accra started in 2006. However, after four years of treatment, the coverage has always been far below the 65% epidemiologic coverage for interrupting transmission. As such, there was a need to identify the reasons for poor treatment coverage and design specific strategies to improve the delivery of MDA. This study therefore set out to identify the opportunities and barriers for implementing MDA in urban settings, and to develop appropriate strategies for MDA in these settings. An experimental, exploratory study was undertaken in three districts in the Greater Accra region. The study identified various types of non-rural settings, the social structures, stakeholders and resources that could be employed for MDA. Qualitative assessment such as in-depth interviews (IDIs) and focus group discussions (FGDs) with community leaders, community members, health providers, NGOs and other stakeholders in the community was undertaken. The study was carried out in three phases: pre-intervention, intervention and post-intervention phases, to assess the profile of the urban areas and identify reasons for poor treatment coverage using both qualitative and quantitative research methods. The outcomes from the study revealed that, knowledge, attitudes and practices of community members to MDA improved slightly from the pre-intervention phase to the post-intervention phase, in the districts where the interventions were readily implemented by health workers. Many factors such as adequate leadership, funding, planning and community involvement, were identified as being important in improving implementation and coverage of MDA in the study districts. Implementing MDA in urban areas therefore needs to be given significant consideration and planning, if the required coverage rates are to be achieved. This paper, presents the recommendations and strategies for undertaking MDA in urban areas.Entities:
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Year: 2017 PMID: 28493966 PMCID: PMC5441634 DOI: 10.1371/journal.pntd.0005619
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Age and sex distribution of the study populations.
Demographic characteristics of respondents.
| Indicator | Pre-intervention (N = 644) | Post-intervention (N = 630) |
|---|---|---|
| Female | 416 (64.6%) | 451 (71.6%) |
| Male | 228 (35.4%) | 179 (28.4%) |
| Single | 202 (31.4%) | 364 (57.8%) |
| Married | 383 (59.5%) | 42 (6.7%) |
| Divorced | 37 (5.7%) | 183 (29.0%) |
| Widowed | 22 (3.4%) | 41 (6.5%) |
| None | 65 (10.1%) | 65 (10.3%) |
| Primary | 84 (13.0%) | 89 (14.1%) |
| Middle/JSS | 243 (37.7%) | 281 (44.6%) |
| SHS/ Secondary | 144 (22.4%) | 96 (15.20%) |
| Commercial/Vocational/Technical | 101 (15.7%) | 39 (6.2%) |
| Tertiary | 3 (0.5%) | 58 (9.2%) |
| Non Formal | 4 (0.6%) | 2 (0.3%) |
| Trader | 284 (44.1%) | 287 (45.6%) |
| None | 96 (14.9%) | 99 (15.7%) |
| Artisan | 78 (12.1%) | 178 (28.3%) |
| Farmer | 2 (0.3%) | 2 (0.3%) |
| Fisherman | 4 (0.6%) | 6 (1.0%) |
| Public Servant | 28 (4.3%) | 30 (6.0%) |
| Teacher | 10 (1.6%) | 13 (2.1%) |
| Other | 142 (22.0%) | 7 (1.1%) |
| Christian | 566 (87.9%) | 551 (87.5%) |
| Moslem | 64 (9.9%) | 63 (10.0%) |
| No Religion | 10 (1.6%) | 13 (2.1%) |
| Traditional | 3 (0.5%) | 3 (0.5%) |
| Other | 1 (0.2%) | 0 (0.0%) |
Knowledge of lymphatic filariasis.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| Elephantiasis | 206 (96.7%) | 206 (98.0%) | 209 (97.7%) | 203 (96.6%) | 205 (94.5%) | 205 (97.6%) | 620 (96.3%) | 614 (97.4%) |
| Hydrocele | 136 (63.4%) | 70 (33.3%) | 124 (57.9%) | 108 (51.4%) | 135 (62.2%) | 134 (63.8%) | 395 (61.3%) | 312 (49.5%) |
Means of contracting elephantiasis.
| Means | Pre-Intervention (N = 644) | Post-Intervention (N = 630) |
|---|---|---|
| 328 (50.9%) | 296 (47.0%) | |
| 137 (21.3%) | 115 (18.3%) | |
| 84 (13.0%) | 132 (21.0%) | |
| 31 (4.8%) | 121 (19.2%) | |
| 27 (4.2%) | 54 (8.6%) | |
| 18 (2.8%) | 18 (2.9%) | |
| 17 (2.6%) | 11 (1.8%) | |
| 78 (12.1%) | - |
Risks for contracting elephantiasis.
| Sub Metro | Yes (Pre-Intervention) | Yes (Post-Intervention) |
|---|---|---|
| 54 (26.2%) | 86 (41.3%) | |
| 53 (25.4%) | 35 (17.1%) | |
| 66 (32.2%) | 32 (15.6%) | |
| 173 (27.9%) | 153 (24.8%) |
Knowledge about LF prevention.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| Taking Drugs | 25.4% | 51.4% | 27% | 18.1% | 25.1% | 51.4% | 25.9% | 40.5% |
| Sleeping Mosquito Net | 4.2% | 12.4% | 6.6% | 11.0% | 10.0% | 12.4% | 7.0% | 37.1% |
| Keeping Environment Clean | 20.3% | 41.4% | 19.3% | 22.4% | 22.3% | 41.4% | 20.7% | 49.2% |
| Don't Know | 40.7% | 0.3% | 37.7% | 52.9% | 29.9% | 0.3% | 36.0% | 26.2% |
| Other | 9.3% | 0.0% | 9.4% | 0.0% | 12.7% | 0.0% | 10.5% | 0.0% |
Knowledge on available health service support for LF patients by sub-metro.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| Don't Know | 57% | 41.9% | 54.5% | 38.6% | 49.0% | 45.2% | 54.0% | 41.9% |
| Keeping the environment clean | 1.9% | 8.1% | 0.5% | 1.0% | 1.4% | 4.3% | 1.3% | 4.4% |
| Treatment, vaccination and management of sores | 38.0% | 48.6% | 41.1% | 76% | 44.0% | 64.3% | 41% | 63.0% |
| Distribution of Mosquito nets | 0.5% | 15.2% | 0.0% | 11.4% | 0.0% | 32.9% | 0.2% | 19.8% |
Knowledge on mass drug distribution by sub metro.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| 71.8% | 83.3% | 69.2% | 68.9% | 60.8% | 75.5% | 67.2% | 75.9% | |
| 28.2% | 16.7% | 30.8% | 31.1% | 39.2% | 24.5% | 32.8% | 24.1% | |
Purpose of the drug distribution in the pre-intervention survey.
| Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | TOTAL | |
|---|---|---|---|---|
| 92.8% | 91.9% | 89.5% | 91.5% | |
| 7.2% | 5.4% | 8.3% | 6.9% | |
| 0.0% | 2.0% | 0.8% | 0.9% | |
| 0.0% | 0.0% | 0.8% | 0.2% | |
| 0.0% | 0.0% | 0.8% | 0.2% | |
| 0.0% | 0.7% | 0.0% | 0.2% |
Public education before distribution.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| 7.8% | 6.9% | 9.5% | 18.1% | 15.2% | 34.6% | 10.6% | 11.9% | |
| 59.5% | 49.7% | 69.6% | 45.8% | 48.5% | 53.5% | 59.6% | 49.8% | |
| 32.7% | 43.4% | 20.9% | 36.1% | 36.4% | 34.6% | 29.8% | 38.3% | |
Sources of information on MDA.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| 19.0% | 8.6% | 21.4% | 24.8% | 21.8% | 28.6% | 20.9% | 20.6% | |
| 5.6% | 4.3% | 9.9% | 3.8% | 7.6% | 8.6% | 7.9% | 5.6% | |
| 31.7% | 13.8% | 28.0% | 10.0% | 25.9% | 49.0% | 28.3% | 24.3% | |
| 0.7% | 4.3% | 1.1% | 0.00% | 1.2% | 0.5% | 1.0% | 1.6% | |
| 4.9% | 5.2% | 2.2% | 1.4% | 2.9% | 14.8% | 3.2% | 7.1% | |
| 0.7% | 1.4% | 0.0% | 2.9% | 2.4% | 0.5% | 1.0% | 1.6% | |
| 22.5% | 7.6% | 18.1% | 18.1% | 21.2% | 6.2% | 20.4% | 10.6% | |
| 2.1% | 0.5% | 1.6% | 3.3% | 2.9% | 1.0% | 2.2% | 1.6% | |
| 12.7% | 16.7% | 17.6% | 7.1% | 14.1% | 21.4% | 15.0% | 15.1% | |
| - | 65.7% | - | 22.4% | - | 21.9% | - | 36.7% | |
Distribution of drugs during MDA.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| Church/Mosque | 0.5% | 0.0% | 0.5% | 0.0% | 1.9% | 0.0% | 0.9% | 0.0% |
| Community Centre | 6.3% | 5.7% | 7.0% | 3.3% | 6.9% | 15.7% | 6.7% | 8.3% |
| Home to Home | 71.0% | 78.6% | 73.0% | 64.3% | 68.0% | 72.4% | 71.0% | 71.7% |
| Market | 9.0% | 16.7% | 3.8% | 1.4% | 9.4% | 6.7% | 7.3% | 8.3% |
| Schools | 11.0% | 11.0% | 14% | 4.8% | 10.0% | 21.0% | 12.0% | 12.2% |
| Chief Palace | 0.0% | 0.5% | 0.0% | 0.5% | 0.0% | 0.0% | 0.0% | 0.3% |
Treatment coverage.
| Metropolitan District/Sub-district | Pre-intervention Coverage | Post-intervention Coverage | ||
|---|---|---|---|---|
| Reported | Surveyed | Reported | Surveyed | |
| 59.1% | 50.2% | 86.0% | 41.3% | |
| 82.5% | 49.1% | 61.6% | 28.0% | |
| 67.2% | 38.2% | 58.4% | 32.8% | |
Reasons provided for not taking the drugs.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| Fear of side effect | 40.9% | 47.1% | 35.1% | 19.0% | 46.0% | 49.0% | 40.0% | 38.4% |
| Don't Know | 39.0% | 28.6% | 45.0% | 41.9% | 35.0% | 14.8% | 40.0% | 28.4% |
| Don't Understand the reason for the distribution | 5.8% | 9.5% | 7.9% | 8.1% | 10.0% | 20.0% | 7.9% | 12.5% |
| Takes alcohol | 7.1% | 0.0% | 0.8% | 2.8% | ||||
| Don't believe in the drug, Prefer local medicine | 2.6% | 1.4% | 2.6% | 0.5% | 2.4% | 4.3% | 2.5% | 2.1% |
| Believe can't get the disease | 1.3% | 6.2% | 4.6% | 2.9% | 0.8% | 8.1% | 2.3% | 5.7% |
| Can't take un prescribed drugs from unknown people | 0.6% | 0.0% | 3.9% | 1.4% | ||||
| Don't like medicine | 1.3% | 2.4% | 2.0% | 0.5% | 0.0% | 1.0% | 1.2% | 1.3% |
| Expired Drugs | 1.3% | 2.0% | 0.0% | 1.2% | ||||
| Had not eaten | 0.0% | 0.7% | 0.0% | 0.2% | ||||
| Too old to take the drug | 0.0% | 0.0% | 0.8% | 0.2% | ||||
| Absent | 0.0% | 0.0% | 0.8% | 0.2% | ||||
Awareness of side effects.
| Sub Metro | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | Overall | ||||
|---|---|---|---|---|---|---|---|---|
| Intervention | Pre (N = 213) | Post (N = 210) | Pre (N = 214) | Post (N = 210) | Pre (N = 217) | Post (N = 210) | Pre (N = 644) | Post (N = 630) |
| 1.3% | 6.3% | 4.8% | 9.7% | 11.4% | 1.3% | 5.6% | 5.6% | |
| 74.0% | 59.1% | 68.5% | 75.0% | 62.9% | 61.6% | 68.8% | 64.7% | |
| 24.7% | 34.7% | 26.7% | 15.3% | 25.8% | 37.1% | 25.7% | 29.6% | |
Side effects identified by respondents in the pre-intervention assessment.
| Side Effects | Ashiedu Keteke | Ledzokuku | Ayawaso (Control) | TOTAL |
|---|---|---|---|---|
| Rashes | 16.4% | 35.3% | 26.1% | 26.6% |
| Itching | 25.5% | 26.5% | 21.7% | 24.9% |
| Fever | 14.5% | 8.8% | 15.2% | 12.4% |
| Headache | 12.7% | 10.3% | 13.0% | 11.8% |
| Muscle/Bodily Pain | 10.9% | 7.4% | 8.7% | 8.9% |
| Vomiting | 5.5% | 1.5% | 8.7% | 4.7% |
| Swelling Parts of Body | 5.5% | 8.8% | 2.2% | 5.9% |
| Chills | 7.3% | 0.0% | 0.0% | 2.4% |
| Fainting | 1.8% | 1.5% | 4.3% | 2.4% |
| 100% | 100% | 100% | 100% |
Interventions for improving urban drug delivery.
| ISSUES/ CONCERNS | CHALLENGES | SOLUTION | INTERVENTION |
|---|---|---|---|
| Community definition | • Communities not well defined for the exercise. | • Communities or operational units to be redefined and listed | • Define and list communities or operational units of all zones |
| Selection of CDDs | • Temporary volunteers selected to do work | • Selected CDDs must be available to do the distribution/work | Select people, with the involvement with community: |
| Training of CDDs | • Inadequate training of CDDs to respond to community issues on the MDA | • CDDs must be able to explain the exercise well to build trust and encourage participation | • Training of CDDs detailed to equip them well for the task. However, this was basic enough and the period limited to less than a day, so as to enhance their active participation in the training. |
| CDD identity | Inadequate/lack of identification documents | Provide CDDs with: | • Letters sent to institutions on MDA |
| Volunteer motivation or incentive | Inadequate remuneration and complaint by CDDs of lack of transparency in the payments | Enhance communication with CDDs to improve transparency regarding the remuneration. | • Volunteers made to know, from the beginning, how much is due them for the exercise |
| Social Mobilization | Little or inadequate information prior to treatment | Use the media for social mobilization: | Social mobilization done using the following media: |
| Drug distribution Process | • Treatment not able to reach people in: | • Reach people in markets, institutions, offices and first class residential areas with treatment | Distributors sent to markets, institutions, offices and high income residential areas (with ID cards), after adequate social mobilization |
| Adverse Reactions | • Community members do not know what to do when they experience adverse reactions | • Provide information on what people should do in the event of adverse reactions | • As part of the social mobilization, people were made to know what possible adverse reactions there are to the drugs and what to do when they occur |
| Feedback to communities | • No feedback is given to communities on the MDA and the status of the disease prevalence of the community or district | • Give feedback on the MDA and the status of the disease in the district | • Through the CDDs or Zonal staff, feedback was given to the communities |