Which children come to the health centre for treatment of malaria?

Kofoed, Poul‐Erik; Rodrigues, Amabélia; Có, Fernando; Hedegaard, Kathryn; Rombo, Lars; Aaby, Péter

doi:10.1016/j.actatropica.2003.09.011

Cited by 20 publications

(18 citation statements)

References 17 publications

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“…These findings are similar to earlier studies [12,17]. Factors such as education and assets were the measure of income used here because DHS surveys do not collect direct data on income.…”

Section: Discussionsupporting

confidence: 90%

“…Unmeasured socio-economic differences might be some of the factors related to this pattern. Studies have found that low income groups are likely to engage in self-diagnosis [12,33]. However, high socio-economic groups may also engage in self-treatment more often as reported in other studies [34], leading to high probability of self-medication in urban areas, for example the high RRR observed in the capital city might be influenced by this factor.…”

Section: Discussionmentioning

confidence: 83%

“…Although the DHS did not capture the degree of illness, this is also an important indicator of health care decisions. Mere high temperatures are likely to be treated at home first [12]. In contrast, severe malaria is often rushed to hospitals [44], but this might take place only after the first attempt at cure has failed.…”

Section: Discussionmentioning

confidence: 99%

“…Similar studies, carried out in Africa, reported that 60 to 80 percent of presumed cases are treated at home [11,12]. Frequently, formal health care is sought only if initial treatment fails.…”

Section: Introductionmentioning

confidence: 89%

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Choice of treatment for fever at household level in Malawi: examining spatial patterns

Kazembe

Appleton

Kleinschmidt

2007

Malar J

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Background: Although malaria imposes an enormous burden on Malawi, it remains a controllable disease. The key strategies for control are based on early diagnosis and prompt treatment with effective antimalarials. Its success, however, depends on understanding the factors influencing health care decision making at household level, which has implications for implementing policies aimed at promoting health care practices and utilization.

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“…These findings are similar to earlier studies [12,17]. Factors such as education and assets were the measure of income used here because DHS surveys do not collect direct data on income.…”

Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 89%

See 2 more Smart Citations

Choice of treatment for fever at household level in Malawi: examining spatial patterns

Kazembe

Appleton

Kleinschmidt

2007

Malar J

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“…An individual's past experience may also influence TSB, with people who have already dealt with various malaria episode being less likely to seek treatment from a public health care facility [20]. Additional factors that have been identified as potential determinants of malaria treatment-seeking also include the size of the family, type of work undertaken [21,22], age [15], education and wealth [16]. …”

Section: Introductionmentioning

confidence: 99%

Seeking treatment for symptomatic malaria in Papua New Guinea

Davy

Ome

Lawrence‐Wood

et al. 2010

Malar J

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BackgroundMalaria places a significant burden on the limited resources of many low income countries. Knowing more about why and where people seek treatment will enable policy makers to better allocate the limited resources. This study aims to better understand what influences treatment-seeking behaviour for malaria in one such low-income country context, Papua New Guinea (PNG).MethodsTwo culturally, linguistically and demographically different regions in PNG were selected as study sites. A cross sectional household survey was undertaken in both sites resulting in the collection of data on 928 individuals who reported suffering from malaria in the previous four weeks. A probit model was then used to identify the factors determining whether or not people sought treatment for presumptive malaria. Multinomial logit models also assisted in identifying the factors that determined where people sought treatments.ResultsResults in this study build upon findings from other studies. For example, while distance in PNG has previously been seen as the primary factor in influencing whether any sort of treatment will be sought, in this study cultural influences and whether it was the first, second or even third treatment for a particular episode of malaria were also important. In addition, although formal health care facilities were the most popular treatment sources, it was also found that traditional healers were a common choice. In turn, the reasons why participants chose a particular type of treatment differed according to the whether they were seeking an initial or subsequent treatments.ConclusionsSimply bringing health services closer to where people live may not always result in a greater use of formal health care facilities. Policy makers in PNG need to consider within-country variation in treatment-seeking behaviour, the important role of traditional healers and also ensure that the community fully understands the potential implications of not seeking treatment for illnesses such as malaria at a formal health care facility.

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