| Literature DB >> 30567567 |
Thandile Nkosi-Gondwe1,2, Bjarne Robberstad3, Björn Blomberg4,5, Kamija S Phiri6, Siri Lange7,8.
Abstract
BACKGROUND: Severe malarial anaemia is one of the leading causes of paediatric hospital admissions in Malawi. Post-discharge malaria chemoprevention (PMC) is the intermittent administration of full treatment courses of antimalarial to children recovering from severe anaemia and findings suggest that this intervention significantly reduces readmissions and deaths in these children. Community delivery of health interventions utilizing community health workers (CHWs) has been successful in some programmes and not very positive in others. In Malawi, there is an on-going cluster randomised trial that aims to find the optimum strategy for delivery of dihydroartemesinin-piperaquine (DHP) for PMC in children with severe anaemia. Our qualitative study aimed to explore the feasibility of utilizing CHWs also known as health surveillance assistants (HSAs) to remind caregivers to administer PMC medication in the existing Malawian health system.Entities:
Keywords: Anaemia; Community health workers; Malaria; Malawi; Secondary prevention; Social perception
Mesh:
Substances:
Year: 2018 PMID: 30567567 PMCID: PMC6299958 DOI: 10.1186/s12913-018-3791-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Characteristics of HSAs who participated in IDIs
| HSA ID | Gender | Age | Location category | Population size | Length of service | No. Of visits | Level of adherence |
|---|---|---|---|---|---|---|---|
| HSAs with self- reported adherence ( | |||||||
| ID1-HSA-01 | Male | 32 | Urban | 2219 | 9 | 1 | Partially adherent |
| IDI-HSA-03 | Male | 40 | Semi-urban | 894 | 7 | 3a | Fully adherent |
| IDI-HSA-04 | Female | 37 | Rural | 3077 | 10 | 1 | Partially adherent |
| IDI-HSA-05 | Female | 45 | Urban | 4050 | 24 | 3 | Fully adherent |
| IDI-HSA-06 | Female | 36 | Semi-rural | Unsure | 9 | 2 | Partially adherent |
| IDI-HSA-07 | Male | 35 | Rural | 3090 | 9 | 1 | Partially adherent |
| IDI-HSA-09 | Female | 39 | Semi-urban | 1139 | 8 | 2 | Partially adherent |
| IDI-HSA-10 | Male | 30 | Rural | 3299 | 10 | 1 | Partially adherent |
| IDI-HSA-11 | Male | 39 | Remote | 2360 | 14 | 2 | Partially adherent |
| IDI-HSA-14 | Female | 30 | Semi-rural | 2202 | 9 | 1 | Partially adherent |
| IDI-HSA-17 | Male | 42 | Semi-rural | 4500 | 17 | 3 | Fully adherent |
| IDI-HSA-18 | Male | 27 | Urban | 1160 | 9 | 1 | Partially adherent |
| HSAs with self-reported non-adherence ( | |||||||
| IDI-HSA-02 | Female | 27 | Urban | 884 | 9 | 0 | Not adherent |
| IDI-HSA-08 | Female | 42 | Urban | 599 | 21 | 0 | Not adherent |
| IDI-HSA-12 | Male | 33 | Semi-rural | 1276 | 9 | 0 | Not adherent |
| IDI-HSA-13 | Male | 32 | Rural | 1356 | 8 | 0 | Not adherent |
| IDI-HSA-15 | Male | 32 | Rural | 4000 | 7 | 0 | Not adherent |
| IDI-HSA-16 | Male | 38 | Remote rural | NA | 10 | 0 | Not adherent |
| IDI-HSA-19 | Male | 36 | Remote | 940 | 9 | 0 | Not adherent |
| IDI-HSA-20 | Male | 40 | Remote | 3100 | 9 | 0 | Not adherent |
aThis HSA had 2 children during the course of the study and he was fully adherent to both
Characteristics of HSAs participating in two FGDs
| HSA ID | Gender | Age | Location | Population | Length of service | Number of visits |
|---|---|---|---|---|---|---|
| FGD 1: HSAs with full or partial-adherence as reported by the caregiver | ||||||
| FGD-HSA-01 | F | 32 | Rural | 982 | 10 | 2 |
| FGD-HSA-02 | M | 42 | Rural | 3840 | 18 | 2 |
| FGD-HSA-03 | F | 39 | Remote | 1796 | 20 | 3 |
| FGD-HSA-04 | M | 35 | Rural | 1139 | 10 | 4 |
| FGD-HSA-05 | M | 35 | Rural | 9808 | 12 | 3 |
| FGD-HSA-06 | M | 38 | Rural | 2098 | 11 | 3 |
| FGD-HSA-07 | F | 35 | Rural | 2876 | 10 | 2 |
| FGD-HSA-08 | M | 34 | Rural | 3614 | 9 | 3 |
| FGD-HSA-09 | M | 32 | Rural | 9300 | 10 | 2 |
| FGD 2: HSAs with non-adherence as reported by the caregiver | ||||||
| FGD-HSA-10 | F | 27 | Rural | 2070 | 10 | 0 |
| FGD-HSA-11 | F | 35 | Semi urban | 890 | 8 | 0 |
| FGD-HSA-12 | F | 45 | Semi urban | 883 | 10 | 0 |
| FGD-HSA-13 | M | 29 | Urban | 1896 | 10 | 1 |
| FGD-HSA-14 | F | 45 | Urban | 1982 | 10 | 0 |
| FGD-HSA-15 | M | 38 | Remote | 1740 | 10 | 3 |
| FGD-HSA-16 | F | 31 | Semi urban | 2339 | 10 | 0 |
| FGD-HSA-17 | F | 32 | Semi urban | 1038 | 10 | 0 |
| FGD-HSA-18 | M | 39 | Remote | 1935 | 10 | 0 |
| FGD-HSA-19 | F | 51 | Rural | 2040 | 17 | 3 |
Adherence to PMC home visits by location
| Location | Adherence | Total (%) |
|---|---|---|
| Rural ( | ≥3 | 8 (30) |
| 1–2 | 10 (39) | |
| 0 | 8 (30) | |
| Urban ( | ≥3 | 2 (15) |
| 1–2 | 4 (30) | |
| 0 | 7 (54) |
Summary of findings
| Enabling and motivation factors | Barriers and demotivating factors | |
|---|---|---|
| Professional factors | - The belief that PMC is useful | - Sense of PMC not being part of regular work duties |
| Structural factors | - Ease of the task | - High workload |
| Community factors | - To maintain community trust and respect as ‘doctors’ | - Curiousness and suspicion from neighbours |