Improving malaria knowledge and practices in rural Myanmar through a village health worker intervention: a cross-sectional study
© Lwin et al.; licensee BioMed Central Ltd. 2014
Received: 4 June 2013
Accepted: 29 December 2013
Published: 4 January 2014
Since 2008 the Sun Primary Health (SPH) franchise programme has networked and branded community health workers in rural Myanmar to provide high quality malaria information and treatment. The purpose of this paper is to compare the malaria knowledge level and health practices of individuals in SPH intervention areas to individuals without SPH intervention
This study uses data from a cross-sectional household survey of 1,040 individuals living in eight rural townships to compare the knowledge level of individuals in SPH intervention areas to individuals without SPH intervention.
This study found that the presence of a SPH provider in the community is associated with increased malaria knowledge and higher likelihood of going to trained providers for fevers. Furthermore, the study found a dose–response, where the longer the duration of the programme in a community, the greater the community knowledge level.
The study suggests that community health workers might have significant impact on malaria-related mortality and morbidity in rural Myanmar.
Malaria causes approximately 500 million infections and about 650,000 deaths every year worldwide[1, 2]. In Myanmar, an estimated 37 million people live in malaria endemic areas, where 70% of malaria-risk people live in rural areas. Late diagnosis and inappropriate treatment of malaria can lead to complications and death[3, 4]. Early diagnosis and effective treatment can be improved through the use of health workers. Numerous programmes in low- and middle-income countries that utilized trained health workers in rural settings demonstrated improvements in rural populations’ access to accurate diagnosis and treatment[5–11]. Since 2004, community-based malaria control projects have gained popularity in Myanmar. For example, village health volunteers in 160 remote villages provided insecticide-treated mosquito nets (ITNs) and early diagnosis and appropriate treatment, resulting in reported positive health impacts[6, 12].
Health workers help to improve early diagnosis and effective treatment for malaria by increasing access to and provision of quality services and products such as RDTs (rapid diagnostic test kits) and ACT (artemisinin-based combination therapy). RDTs provide an easy and accurate confirmation of symptomatic diagnosis of malaria in resource-poor settings[9, 10, 13]. In several studies conducted in Thailand, Ethiopia, and Uganda, community-based malaria care services combined with RDT use have been shown to reduce malaria transmission and lower malaria morbidity and mortality in rural populations[10, 14, 15]. ACT is the most effective for uncomplicated malaria cases, using RDT to correctly diagnose patients reduces presumptive treatments, limiting the overuse of ACT, lowering programme costs, and delaying the emergence of drug resistance[10, 13, 16, 17].
As part of SPH, PSI/Myanmar and the Myanmar government township medical officers recruited volunteer health workers to provide basic health services such as diagnosis and treatment of uncomplicated malaria cases. Health workers recruited into SPH were trained and provided with RDTs for malaria diagnosis and differentiation of Plasmodium falciparum, Plasmodium vivax and/or mixed infection. Training topics covered malaria counseling, malaria transmission, use of RDTs, treatment, and prevention and control of malaria by using impregnated bed nets. Health workers were also awarded with performance-based incentive schemes based on malaria tested or treated cases per month.
While the SPH network has served thousands of populations, the impact of the programme in increasing community knowledge and services is unknown. The study analysed data from a cross-sectional household survey of 1,040 individuals living in eight townships of rural areas to compare the knowledge level of individuals in SPH intervention areas to individuals without SPH intervention. The study hypothesized that individuals living in SPH communities have higher knowledge and correct treatment levels compared to non-SPH areas.
Recruitment and study subjects
The cross-sectional quantitative household survey was conducted by researchers from Population Services International/Myanmar (PSI/M) in January 2012 and recruited 2,080 study participants from eight townships in five states/divisions including Mon, Eastern Shan, Northern Shan, Southern Shan and Tanintaryi Division. Townships were randomly selected from a list of 92 townships classified as malaria endemic townships according to Unicef and the Vector Borne Disease Control Team (VBDC) in Myanmar. The survey covered 11,491 communities in 2009, 21,973 communities in September/October 2011, and 2,041 communities in December 2011, and the primary sampling unit was households. In total, the analysis included 1,040 respondents. The inclusion criteria was 18 years of age or older, and caregivers were asked about children’s fever in the last two weeks.
The primary outcome of interest was malaria knowledge and treatment. The study measured malaria knowledge with two indicators: knowledge on prevention of malaria by using ITNs and ever heard of malaria RDT (all binary outcomes, yes/no). The study measured malaria treatment categorically by whether they receive treatment from trained providers, buy and take medicine from drug store, or take treatment at home.
The main predictor of interest was whether individuals received the SPH intervention in their communities or did not receive SPH intervention, measured as a binary variable. The study calculated dose–response of the intervention by looking at the duration of the programme in communities (measured categorically from 2009, 2010, 2011). Demographic characteristics include age of study participations (categorical); education level (categorical); gender (binary); and occupation (categorical).
Demographic characteristics of household members by SPH vs non-SPH communities
SPH communities (n = 321)
Non-SPH communities (n = 719)
Total (N = 1040)
15 – 35
35 – 50
50 – 65
Population Services International’s (PSI) Ethical Review Board approved this study.
In total, 1,040 participants were included in the study, with 321 respondents in communities that received an SPH and 719 respondents living in communities that did not have the intervention. Analyses of basic demographic characteristics suggest that there were no statistically significant differences between SPH and non-SPH communities. Approximately 32% of the study sample was between 15–35 years, 33% between the ages of 35–50 years, 28% between 50–65 years, and 7% older than 65 years (see Table 1). There was no statistically significant difference in age between SPH and non-SPH communities (p = 0.694). The majority of respondents had at least a middle school education or higher (approximately 75%), while 28.6% reported having no schooling. The majority of respondents in both the SPH and non-SPH communities were female (73.2% vs. 67.6%, respectively, p = 0.07). Overwhelmingly, respondents reported working in manual labor (88.3%), followed by owning a business/shopkeeper (8.7%), retired (2.3%), and less than 1% reported being in higher management (see Table 1).
Comparison of malaria knowledge and treatment between SPH vs. non-SPH
SPH communities (n = 321)
Non-SPH communities (n = 719)
Total (N = 1040)
Key determinants of knowledge
Knowledge on prevention of malaria by using ITN
Ever heard of malaria diagnostic blood test (RDT)
Intent to treat
Take treatment from trained providers
Buy and take medicine from drug store
Take treatment at home
This study was the first to evaluate the impact of the Sun Primary Health (SPH) intervention on malaria knowledge and behaviours among rural populations in Myanmar. The study found that the presence of a SPH provider in the community is associated with increased malaria knowledge, such as knowledge of use of ITN and RDT, and higher likelihood of going to trained providers for fevers. Lack of statistically significant differences in basic demographic characteristics between SPH and non-SPH groups strengthens the finding that there is an association between a SPH provider and higher knowledge levels. Furthermore, the study also found that communities with a longer duration of intervention (intervention introduced in 2009) had better knowledge score and treatment behaviours compared to communities with more recent introduction of providers (in 2011).
There are a number of limitations to the study. First, the study was not able to assess characteristics regarding patient-provider relationship, such as the quality of the providers, the frequency of visiting providers, or whether respondents interacted with SPH providers. Future studies should examine the quality of health workers and how that relates to patient practices and knowledge levels. Second, because the study uses cross-sectional data, the study cannot infer causality. However, these analyses take advantage of the stepped design of the intervention and examine dose–response, a criteria for causal inference.
Despite the limitations, this study demonstrates the critical and potential role of health workers in improving health in rural Myanmar. There is a dearth of studies on promising interventions in Myanmar, particularly in rural areas, and this study not only demonstrates a change in knowledge score between SPH and non-SPH communities, but also suggests that there are cumulative effects over time. Future studies should concentrate on a better understanding of the direct and indirect effects of SPH providers, how training impacts the quality of health workers, and explore whether greater frequency and contact with SPH providers result in better health outcomes. Moreover, future studies should concentrate on the health impact of communities, going beyond knowledge indicators to measure malaria prevalence, incidence, morbidity, and mortality. This study highlights the opportunity to engage with rural health workers in improving malaria knowledge, care, and practices.
Written informed consent was obtained from the patient’s guardian/parent/next of kin for the publication of this report and any accompanying images.
The authors would like to acknowledge Willi McFarland and Dominic Montagu for helping with interpretation of study results.
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