| Literature DB >> 35439991 |
Peter Makaula1, Sekeleghe Amos Kayuni2,3,4, Kondwani Chidzammbuyo Mamba5, Grace Bongololo6, Mathias Funsanani6, Janelisa Musaya3,7, Lazarus Tito Juziwelo8, Peter Furu9.
Abstract
BACKGROUND: Mass drug administration (MDA) is one of the key interventions recommended by WHO for prevention and control of neglected tropical diseases (NTD). In Malawi, MDA is widely carried out annually since 2009 for prevention and control of schistosomiasis and soil-transmitted helminths (STH). No study has been carried out to assess effectiveness of the MDA approach and to document perceptions of health providers and beneficiaries regarding use of MDA. This study was done to understand how well MDA is being implemented and to identify opportunities for improvement in MDA delivery in Malawi.Entities:
Keywords: Mass drug administration; Neglected tropical diseases; Schistosomiasis; Soil-transmitted helminths
Mesh:
Substances:
Year: 2022 PMID: 35439991 PMCID: PMC9016207 DOI: 10.1186/s12913-022-07925-3
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
Fig. 1Locations of the study districts of Chiradzulu, Mangochi and Zomba (in red), Lake Malawi (in blue), major cities of Mzuzu, Lilongwe and Blantyre and the location of Malawi in Africa (red in the inset) (Source: Authors’ own map [23])
Comparative socio-economic, demographic and health indicators for the three study districts and for Malawi
| Indicator | Chiradzulu | Mangochi | Zomba | Malawi |
|---|---|---|---|---|
| Population size/Densitya | 446,521/424 | 1,177,300/168 | 909,107/316 | 20,119,830/186 |
| Predominant religiona | Christian (87.7%) | Islam (70.3%) | Christian (76.8%) | Christian (79.9%) |
| Level of literacy among women/mena | 77.8%/93.3% | 57.0%/71.1% | 77.9%/87.7% | 72.1%/82.9% |
| % of population with improved sanitation facilitiesa | 57.0% | 62.0% | 60.0% | 63.0% |
| Infant mortality rateb | 45/1000 | 37/1000 | 80/1000 | 42/1000 |
| Fertility rateb | 5.1 | 5.9 | 5.4 | 4.4 |
| Maternal mortality ratec | 64/100,000 | 400/100,000 | 210/100,000 | 439/100,000 |
| % of population with safe waterc | 73.0% | 74.0% | 82.0% | 67.0% |
| No. of health workers (doctors/nurses/CHW per 100,000 population)d | 0.9/30.0/46.1 | 0.4/17.9/40.9 | 0.9/26.5/65.9 | 1.9/33.7/76.2 |
| No. of health facilities per 100,000 populationd | 3.6 | 3.6 | 4.1 | 4.7 |
| Gross Domestic Product % of population under the poverty line (1US Dollar)e | 65.4% | 69.8% | 67.5% | 65.3% |
Sources: aMalawi Census Report, 2018 [19]
bMalawi Demographic and Health Survey, 2017 [24]
cDistrict Social Economic Profiles for Chiradzulu, 2017 [25], Mangochi, 2017 [26] and Zomba, 2017 [27]
dHealth Sector Strategic Plan II, 2017 [20]
eMalawi Growth and Development Strategy III, 2017 [28]
Methods, purposes, levels and amount of data collected in the study
| Methods | Purpose of data collected | Data collection - levels and numbers collected | Totals | ||||
|---|---|---|---|---|---|---|---|
| District | Implementation partners | Health Centre | Village | Household | |||
| 1. Questionnaire | Knowledge, attitudes and practices | – | – | – | – | 379 | 379 |
| 2. In-depth interviews | Process/Perceptions/Benefits/Critical factors | 6 | 3 | 12 | 41 | – | 62 |
| 3. Checklists/Observations | Coverage/Disease burden | 6 | – | 12 | – | – | 18 |
| 4. Health Management and Information System | Coverage/Disease burden | 3 | – | – | – | – | 3 |
| 5. Focus group discussions | Perceptions/Benefits/Critical factors | – | – | – | 12 | – | 12 |
| 6. Document reviews | Policies/Processes/Priorities/Resources/Challenges/Opportunities | 6 | – | – | – | – | 6 |
Socio-economic characteristics of survey respondents by districts
| Characteristic | Number (%) of respondents who participated in the survey | |||
|---|---|---|---|---|
| Chiradzulu | Mangochi | Zomba | Totals | |
| 126 (33.3) | 129 (34) | 124 (32.7) | 379 (100) | |
| Female | 91 (72.2) | 92 (71.3) | 85 (68.5) | 268 (70.7) |
| Male | 35 (27.8) | 37 (28.7) | 39 (31.5) | 111 (29.3) |
| Mean | 42.5 | 36.9 | 42.6 | 40.7 |
| Range | 18–89 | 18–87 | 16–81 | 16–89 |
| Urban | 21 (16.7) | – | 1 (0.8) | 23 (6.1) |
| Rural | 105 (83.3) | 129 (100) | 123 (99.2) | 356 (93.9) |
| Single | 5 (4) | 11 (8.6) | 4 (3.2) | 20 (5.3) |
| Married | 86 (68.3) | 104 (80.6) | 101 (81.5) | 291 (76.8) |
| Divorced | 18 (14.3) | 8 (6.2) | 5 (4) | 31 (8.2) |
| Widowed | 13 (10.3) | 3 (2.3) | 13 (10.5) | 29 (7.6) |
| Separated | 4 (3.2) | 3 (2.3) | 1 (0.8) | 8 (2.1) |
| None | 13 (10.3) | 41 (31.8) | 20 (16.1) | 74 (19.5) |
| Primary | 82 (65.1) | 67 (51.9) | 80 (64.5) | 229 (60.4) |
| Secondary | 30 (23.8) | 20 (15.5) | 22 (17.8) | 72 (19) |
| Tertiary | 1 (0.8) | 1 (0.8) | 2 (1.6) | 4 (1.1) |
| Business | 34 (27) | 19 (14.7) | 29 (23.4) | 82 (21.6) |
| Farmer | 72 (57.1) | 92 (71.3) | 72 (58.1) | 236 (62.3) |
| Fisher | – | 2 (1.6) | 7 (5.6) | 9 (2.4) |
| Employed | 6 (4.8) | – | 5 (4) | 11 (2.9) |
| Unemployed | 14 (11.1) | 11 (8.5) | 10 (8.1) | 35 (9.2) |
| Other | – | 5 (3.9) | 1 (0.8) | 6 (1.6) |
Fig. 2Respondents’ knowledge about schistosomiasis
Fig. 3Respondents’ knowledge about STH
Practices related to schistosomiasis and MDA of respondents by districts
| Practice issues asked | Number of respondents who agreed (%) | |||
|---|---|---|---|---|
| Chiradzulu | Mangochi | Zomba | Totals | |
| a. Have you ever suffered from schistosomiasis? | 23 (18.2) | 36 (27.9) | 30 (24.2) | 89 (23.5) |
| b. If yes, did you get drugs for treatment of schistosomiasis? | 20 (87) | 34 (94.4) | 25 (83.3) | 79 (88.8) |
| c. Have you recently received drugs for schistosomiasis? | 74 (58.7) | 55 (42.6) | 66 (53.2) | 195 (51.4) |
| d. Where did you get the drugs from? | ||||
| • Community | 58 (78.4) | 27 (49.1) | 51 (77.3) | 136 (69.7) |
| • Health facility | 14 (18.9) | 16 (29.1) | 6 (4.1) | 36 (18.5) |
| • School | 2 (2.7) | 12 (21.8) | 9 (13.6) | 23 (11.8) |
| e. Who dispensed the schistosomiasis drugs to you? | ||||
| • Facility health worker | 33 (44.6) | 26 (47.3) | 30 (45.4) | 89 (45.7) |
| • Community health worker | 36 (48.6) | 27 (49.1) | 34 (51.5) | 97 (49.7) |
| • Community health volunteer | 5 (6.8) | 2 (3.6) | 2 (3) | 9 (4.6) |
| f. Did you experience any problem(s) after taking schistosomiasis drugs? | 11 (14.9) | 17 (30.9) | 18 (27.3) | 46 (23.6) |
| g. If yes, what problem did you experience after taking schistosomiasis drugs? | ||||
| • Drowsiness/dizziness | 4 (36.3) | 11 (64.6) | 15 (83.2) | 30 (65.2) |
| • Abdominal pain | 3 (27.3) | 2 (11.8) | 1 (5.6) | 6 (13) |
| • Nausea/vomiting | 2 (18.2) | 2 (11.8) | 1 (5.6) | 5 (10.9) |
| • Other | 2 (18.2) | 2 (11.8) | 1 (5.6) | 5 (10.9) |
| h. Are schistosomiasis drugs readily accessible in this village? | 48 (38.1) | 61 (47.3) | 47 (37.9) | 156 (41.2) |
Fig. 4Praziquantel MDA coverage (%) in years 2018 and 2019
Fig. 5Albendazole MDA coverage (%) 2018 and 2019
Implementation partnerships at national and district levels, resources and roles in MDA
| No. | Name of partner | Type | Resources and role played |
|---|---|---|---|
| 1 | Ministry of Health | Government | Personnel, logistics and overall implementation |
| 2 | Ministry of Education | Government | Personnel and logistics |
| 3 | World Health Organization | UNa agency | Technical advisory and supplies |
| 4 | Schistosomiasis Control Initiative Foundation | NGOb | Financial and logistics |
| 5 | World Vision International | NGO | Financial and logistics |
| 6 | The German Agency for International Cooperation | NGO | Financial and logistics |
| 7 | Save the Children | NGO | Financial and logistics |
| 8 | Centre for Health, Agriculture Development Research and Consulting (CHAD) | NGO | Financial, research and logistics |
| 9 | Blantyre Institute of Community Outreach | NGO | Financial, research and logistics |
| 10 | Research for Health Environment and Development (RHED) | NGO | Research |
aUN United Nations
bNGO Non-Governmental Organization
Facilitators and barriers to implementation across the eight MDA components, as commonly reported during interviews with key informants
| CFIRa domain | MDAb component | |||||||
|---|---|---|---|---|---|---|---|---|
| Community awareness | Partnerships and collaboration | Integration with existing interventions | Training of implementers | Morbidity management | Delivery of supplies | Adequacy of implementers | Proper geographical demarcation | |
| 1). | ||||||||
| | ||||||||
| | ||||||||
| | ||||||||
| 2). | ||||||||
| | ||||||||
| • Existence of political will to control diseases | ||||||||
| • Existence of partners at national level | ||||||||
| • Multi-sectoral collaboration in diseases control | ||||||||
| | ||||||||
| • Existence of research gaps/limited information | ||||||||
| • No public-private partnerships | ||||||||
| • Exclusion of inaccessible or hard-to-reach communities | ||||||||
| • Community resistance due to misconceptions and beliefs | ||||||||
| 3). | ||||||||
| | ||||||||
| • Enabling policy framework | ||||||||
| • Existence of skilled health workers at all levels of the healthcare system | ||||||||
| • Existence of supportive community volunteers | ||||||||
| • Capacity to deliver effective health education | ||||||||
| | ||||||||
| • Non-existent complementary integrated interventions for diseases control | ||||||||
| • Lack of adequate resources for diseases control | ||||||||
| • No linkage between NTD and WASH programmes | ||||||||
| • Inadequate partners at district, health centre and community levels | ||||||||
| • Inadequate health workers in remote areas | ||||||||
| 4). | ||||||||
| | ||||||||
| • Health education delivery skills | ||||||||
| | ||||||||
| • Low knowledge about schistosomiasis and STH | ||||||||
| • Poor community engagement skills | ||||||||
| • Lowly motivated health workers | ||||||||
| 5). | ||||||||
| | ||||||||
| • Convergent views on some priority health needs between health authorities and communities | ||||||||
| • Willingness of targeted populations | ||||||||
| | ||||||||
| • Scheduling of MDA coincides with rainy season or major public events | ||||||||
| • Delayed or inadequacy of drugs and supplies | ||||||||
| • Sidelining community in decision-making process | ||||||||
| • Some divergent views on priority health needs between health authorities and communities | ||||||||
Source: [28]. For each MDA component where they apply, authors indicated facilitators with a checkmark (√) and barriers are indicated with a crossmark (x) from the interviews data
aCFIR Consolidated Framework for Implementation Research
bMDA Mass drug administration
List of schistosomiasis and STH prevalence estimate studies done in Malawi between 2010 and 2020
| [Ref. No.] | Year of study publication | District where study was done | Sample size | Target group examined | Diagnostic technique used | Infection species targeted | Prevalence (%)a |
|---|---|---|---|---|---|---|---|
| [ | 2011 | Mangochi | 4324 | Community | Filtration | 39.0 | |
| Likoma | 4131 | School children | Filtration | 64.5 | |||
| 130 | School children | Serology | 62.3a | ||||
| 462 | Community | Filtration | 43.4 | ||||
| 312 | Community | Kato Katz | 0.3 | ||||
| 312 | Community | Kato Katz | 12.3 | ||||
| [ | 2017 | Mangochi | 400 | School children | Filtration | 12.5 | |
| [ | 2014 | Zomba | 483 | School age children | Filtration | 34.0 | |
| [ | 2015 | Zomba | 502 | Community | Sedimentation | 37.8 | |
| Lilongwe | 502 | Community | Kato Katz | 9.4 | |||
| Nkhotakota | 516 | Community | Sedimentation | 33.3 | |||
| 516 | Community | Kato Katz | 10.9 | ||||
| 576 | Community | Sedimentation | 37.2 | ||||
| 576 | Community | Kato Katz | 7.4 | ||||
| [ | 2013 | Chikwawa | 1642 | Community | Sedimentation | 14.2 | |
| 1642 | Community | Kato Katz | 4.3 | ||||
| [ | 2014 | Chikwawa | 165 | Mothers | Filtration | 45.1 | |
| 208 | Pre-school children | Filtration | 17.7 | ||||
| 165 | Mothers | Serology | 94.5 | ||||
| 208 | Pre-school children | Serology | 49.5 | ||||
| 84 | Mothers | Kato Katz | 21.5 | ||||
| 102 | Pre-school children | Kato Katz | 0 | ||||
| [ | 2015 | Nkhotakota | 143 | Pre-school children | Sedimentation | 13.0 | |
| [ | 2019 | Nkhotakota | 242 | Community | Filtration | 34.3 | |
| Nkhotakota | 315 | Community | Filtration | 14.6a | |||
| Lilongwe | 264 | Community | Filtration | 3.8 | |||
| [ | 2019 | Mangochi | 5 | Fishermen | Filtration | 80.0 | |
| [ | 2019 | Mangochi | 210 | Fishermen | Filtration | 17.1 | |
| [ | 2020 | Mangochi | 520 | School children | Filtration | 24.0a | |
| 335 | School children | Kato Katz | 8.1a |
aIncludes reinfections