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Improving access to health care amongst vulnerable populations: a qualitative study of village malaria workers in Kampot, Cambodia

Overview of attention for article published in BMC Health Services Research, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

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44 Dimensions

Readers on

mendeley
155 Mendeley
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Title
Improving access to health care amongst vulnerable populations: a qualitative study of village malaria workers in Kampot, Cambodia
Published in
BMC Health Services Research, May 2017
DOI 10.1186/s12913-017-2282-4
Pubmed ID
Authors

Marco Liverani, Chea Nguon, Ra Sok, Daro Kim, Panharith Nou, Sokhan Nguon, Shunmay Yeung

Abstract

There is growing interest in the expansion of community health workers programmes in low- and middle-income countries as a cost-effective approach to address shortages of health professionals. However, our understanding of the reception of large-scale programmes and how to improve them remains limited, with knowledge gaps about factors that may promote or discourage equitable access to services. This paper examines the case of the Village Malaria Workers (VMW) programme in Cambodia, an extensive community-based intervention for the management of malaria cases in remote rural areas. Fieldwork was conducted in Kampot province, in six case villages characterised by different programme configuration, population size, and distance to the nearest public health facility. In these locations, in-depth interviews (n = 71) with VMWs, village authorities, and residents were conducted to identify facilitators and challenges to service utilisation. Data analysis was informed by a conceptual framework based on five domains of access to services: awareness, accessibility, accommodation, availability, and acceptability. Factors that influenced the utilisation of VMW services in our research sites include: the nature of dissemination activities and their ability to reach different population groups; the village topography and the changing road infrastructure; the involvement of VMWs in other community roles and activities; perceptions about the type of disease after the onset of symptoms; the need for comprehensive diagnosis and care; perceptions about the status of VMWs as medical providers; length of VMW appointment. This study highlights the complexity and diversity of contextual factors that may influence the uptake of a community health programme. As in other countries, continued use of lay health workers in Cambodia to deliver diagnostic and curative services has the potential for great health and economic impact. However, further consideration should be given to the problem of access in different categories of residents and different contexts of implementation. In addition, a comprehensive mapping of changes in disease epidemiology, road infrastructure and the geography of access to services is crucial to inform policy development in this area.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 17%
Researcher 22 14%
Student > Ph. D. Student 14 9%
Student > Bachelor 13 8%
Student > Doctoral Student 12 8%
Other 23 15%
Unknown 45 29%
Readers by discipline Count As %
Medicine and Dentistry 32 21%
Nursing and Health Professions 23 15%
Social Sciences 16 10%
Computer Science 5 3%
Agricultural and Biological Sciences 5 3%
Other 18 12%
Unknown 56 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2019.
All research outputs
#7,038,765
of 23,504,694 outputs
Outputs from BMC Health Services Research
#3,395
of 7,843 outputs
Outputs of similar age
#108,426
of 311,681 outputs
Outputs of similar age from BMC Health Services Research
#59
of 132 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,843 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,681 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.