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Experience on healthcare utilization in seven administrative regions of Tanzania

Overview of attention for article published in Journal of Ethnobiology and Ethnomedicine, January 2012
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Title
Experience on healthcare utilization in seven administrative regions of Tanzania
Published in
Journal of Ethnobiology and Ethnomedicine, January 2012
DOI 10.1186/1746-4269-8-5
Pubmed ID
Authors

Edmund J Kayombo, Febronia C Uiso, Rogasian LA Mahunnah

Abstract

Health care utilization in many developing countries, Tanzania included, is mainly through the use of traditional medicine (TRM) and its practitioners despite the presence of the conventional medicine. This article presents findings on the study that aimed to get an experience of health care utilization from both urban and rural areas of seven administrative regions in Tanzania. A total of 33 health facility managers were interviewed on health care provision and availability of supplies including drugs, in their respective areas. The findings revealed that the health facilities were overburden with higher population to serve than it was planned. Consequently essential drugs and other health supplies were available only in the first two weeks of the month. Conventional health practitioners considered traditional health practitioners to be more competent in mental health management, and overall, they were considered to handle more HIV/AIDS cases knowingly or unknowingly due to shear need of healthcare by this group. In general conventional health practitioners were positive towards traditional medicine utilization; and some of them admitted using traditional medicines. Traditional medicines like other medical health systems worldwide have side effects and some contentious ethical issues that need serious consideration and policy direction. Since many people will continue using traditional/alternative medicine, there is an urgent need to collaborate with traditional/alternative health practitioners through the institutionalization of basic training including hygiene in order to improved healthcare in the community and attain the Millennium Development Goals by 2015.

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X Demographics

The data shown below were collected from the profiles of 4 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 155 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 24%
Student > Bachelor 17 11%
Student > Ph. D. Student 16 10%
Other 12 8%
Student > Doctoral Student 10 6%
Other 27 17%
Unknown 37 24%
Readers by discipline Count As %
Medicine and Dentistry 43 28%
Social Sciences 24 15%
Nursing and Health Professions 11 7%
Agricultural and Biological Sciences 6 4%
Environmental Science 6 4%
Other 21 13%
Unknown 45 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 February 2012.
All research outputs
#13,285,398
of 22,662,201 outputs
Outputs from Journal of Ethnobiology and Ethnomedicine
#426
of 730 outputs
Outputs of similar age
#145,517
of 246,348 outputs
Outputs of similar age from Journal of Ethnobiology and Ethnomedicine
#8
of 9 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 730 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 246,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.