Mass anti-malarial administration in western Cambodia: a qualitative study of factors affecting coverage View Full Text


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Article Info

DATE

2017-12

AUTHORS

Christopher Pell, Rupam Tripura, Chea Nguon, Phaikyeong Cheah, Chan Davoeung, Chhouen Heng, Lim Dara, Ma Sareth, Arjen Dondorp, Lorenz von Seidlein, Thomas J. Peto

ABSTRACT

BACKGROUND: Mass anti-malarial administration has been proposed as a key component of the Plasmodium falciparum malaria elimination strategy in the Greater Mekong sub-Region. Its effectiveness depends on high levels of coverage in the target population. This article explores the factors that influenced mass anti-malarial administration coverage within a clinical trial in Battambang Province, western Cambodia. METHODS: Qualitative data were collected through semi-structured interviews and focus group discussions with villagers, in-depth interviews with study staff, trial drop-outs and refusers, and observations in the communities. Interviews were audio-recorded, transcribed and translated from Khmer to English for qualitative content analysis using QSR NVivo. RESULTS: Malaria was an important health concern and villagers reported a demand for malaria treatment. This was in spite of a fall in incidence over the previous decade and a lack of familiarity with asymptomatic malaria. Participants generally understood the overall study aim and were familiar with study activities. Comprehension of the study rationale was however limited. After the first mass anti-malarial administration, seasonal health complaints that participants attributed to the anti-malarial as "side effects" contributed to a decrease of coverage in round two. Staff therefore adapted the community engagement approach, bringing to prominence local leaders in village meetings. This contributed to a subsequent increase in coverage. CONCLUSION: Future mass anti-malarial administration must consider seasonal disease patterns and the importance of local leaders taking prominent roles in community engagement. Further research is needed to investigate coverage in scenarios that more closely resemble implementation i.e. without participation incentives, blood sampling and free healthcare. More... »

PAGES

206

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    http://scigraph.springernature.com/pub.10.1186/s12936-017-1854-4

    DOI

    http://dx.doi.org/10.1186/s12936-017-1854-4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1085437184

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28526019


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    Download the RDF metadata as:  json-ld nt turtle xml License info

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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12936-017-1854-4'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12936-017-1854-4'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12936-017-1854-4'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12936-017-1854-4'


     

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