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Why do health workers give anti-malarials to patients with negative rapid test results? A qualitative study at rural health facilities in western Uganda

Overview of attention for article published in Malaria Journal, January 2016
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163 Mendeley
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Title
Why do health workers give anti-malarials to patients with negative rapid test results? A qualitative study at rural health facilities in western Uganda
Published in
Malaria Journal, January 2016
DOI 10.1186/s12936-015-1020-9
Pubmed ID
Authors

Robin Altaras, Anthony Nuwa, Bosco Agaba, Elizabeth Streat, James K. Tibenderana, Clare E. Strachan

Abstract

The large-scale introduction of malaria rapid diagnostic tests (RDTs) promises to improve management of fever patients and the rational use of valuable anti-malarials. However, evidence on the impact of RDT introduction on the overprescription of anti-malarials has been mixed. This study explored determinants of provider decision-making to prescribe anti-malarials following a negative RDT result. A qualitative study was conducted in a rural district in mid-western Uganda in 2011, ten months after RDT introduction. Prescriptions for all patients with negative RDT results were first audited from outpatient registers for a two month period at all facilities using RDTs (n = 30). Facilities were then ranked according to overall prescribing performance, defined as the proportion of patients with a negative RDT result prescribed any anti-malarial. Positive and negative deviant facilities were sampled for qualitative investigation; positive deviants (n = 5) were defined ex post facto as <0.75 % and negative deviants (n = 7) as >5 %. All prescribing clinicians were targeted for qualitative observation and in-depth interview; 55 fever cases were observed and 22 providers interviewed. Thematic analysis followed the 'framework' approach. 8344 RDT-negative patients were recorded at the 30 facilities (prescription audit); 339 (4.06 %) were prescribed an anti-malarial. Of the 55 observed patients, 38 tested negative; one of these was prescribed an anti-malarial. Treatment decision-making was influenced by providers' clinical beliefs, capacity constraints, and perception of patient demands. Although providers generally trusted the accuracy of RDTs, anti-malarial prescription was driven by perceptions of treatment failure or undetectable malaria in patients who had already taken artemisinin-based combination therapy prior to facility arrival. Patient assessment and other diagnostic practices were minimal and providers demonstrated limited ability to identify alternative causes of fever. Provider perceptions of patient expectations sometimes appeared to influence treatment decisions. The study found high provider adherence to RDT results, but that providers believed in certain clinical exceptions and felt they lacked alternative options. Guidance on how the RDT works and testing following partial treatment, better methods for assisting providers in diagnostic decision-making, and a context-appropriate provider behaviour change intervention package are needed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Nigeria 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 160 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 29%
Researcher 23 14%
Student > Ph. D. Student 13 8%
Student > Postgraduate 12 7%
Student > Doctoral Student 10 6%
Other 29 18%
Unknown 29 18%
Readers by discipline Count As %
Medicine and Dentistry 57 35%
Nursing and Health Professions 18 11%
Pharmacology, Toxicology and Pharmaceutical Science 13 8%
Social Sciences 9 6%
Agricultural and Biological Sciences 8 5%
Other 23 14%
Unknown 35 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 January 2016.
All research outputs
#15,208,612
of 24,580,204 outputs
Outputs from Malaria Journal
#3,839
of 5,786 outputs
Outputs of similar age
#211,030
of 405,209 outputs
Outputs of similar age from Malaria Journal
#98
of 173 outputs
Altmetric has tracked 24,580,204 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,786 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 30th percentile – i.e., 30% 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 405,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.