| Literature DB >> 28521798 |
Matthew R Boyce1, Wendy P O'Meara2,3.
Abstract
BACKGROUND: The World Health Organization recommends parasitological confirmation of malaria prior to treatment. Malaria rapid diagnostic tests (RDTs) represent one diagnostic method that is used in a variety of contexts to overcome limitations of other diagnostic techniques. Malaria RDTs increase the availability and feasibility of accurate diagnosis and may result in improved quality of care. Though RDTs are used in a variety of contexts, no studies have compared how well or effectively RDTs are used across these contexts. This review assesses the diagnostic use of RDTs in four different contexts: health facilities, the community, drug shops and schools.Entities:
Keywords: CHW; Drug shop; Health facility; Malaria; Plasmodium falciparum; RDT; Retail sector; School; Sub-Saharan Africa
Mesh:
Year: 2017 PMID: 28521798 PMCID: PMC5437623 DOI: 10.1186/s12889-017-4398-1
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Study selection diagram
Reported RDT sensitivity and specificity data for included studies
| Author | Year | Sensitivity (95% CI) | Specificity (95% CI) |
|---|---|---|---|
|
| |||
| Ashton | 2010 | 85.6% | 92.4–92.7% |
| Baiden | 2012 | 100% | 73.0% (67–78) |
| Chinkhumba | 2010 | 90–97% | 39–68% |
| de Oliveira | 2009 | 91.7 (80.8–100.0) | 96.7 (92.8–100.0) |
| Diarra | 2012 | 89.6% (88.1–90.9) | 81.1% (78.8–83.2) |
| Gerstla | 2010 | 99.4% (96.8–100.0) | 96.0% (91.9–98.4) |
| Gerstlb | 2010 | 98.8% (95.8–99.8) | 74.7% (67.6–81.0) |
| Guthmann | 2002 | 97% | 88% |
| Hopkinsa | 2007 | 85% | 99.8% |
| Hopkinsb | 2007 | 92% | 93% |
| McMorrow | 2008 | 64.8% | 87.8% |
| McMorrow | 2010 | 90.7% | 73.5% |
| Moonasar | 2009 | 85% | 96% |
| Morankar | 2011 | 93% | 99.4% |
| Msellem | 2009 | 94% | 88% |
| Mtove | 2011 | 97.5% (96.9–98.0) | 65.3% (63.8–66.9) |
| Nicastri | 2009 | 69.2% | 100% |
| Osei-Kwakye | 2013 | 97.7% (95.8–99.0) | 58.1% (53.8–62.3) |
| Ouattara | 2011 | 97.2% | 95.4% |
| Shakely | 2013 | 78.6% (70.8–85.1) | 99.7% (99.5–99.9) |
| Shakely | 2013 | 76.5% (69.0–83.9) | 99.9% (99.7–100) |
| Shekalaghe | 2013 | 94.7% (89.8–97.3) | 95.6% (94.2–96.6) |
|
| |||
| Ansah | 2015 | 98–100% | 30–98% |
| Mbonye | 2015 | 91.7% | 63.1% |
|
| |||
| Ishengoma | 2011 | 88.6% | 88.2% |
| Ishengoma | 2011 | 63.4% | 94.3% |
| Mubi | 2011 | 85.3% | 59.8% |
| Ndyomugyenyie | 2016 | 72.1% | 83.3% |
| Ndyomugyenyif | 2016 | 20.8% | 98.1% |
| Ratsimbasoa | 2012 | 90.2% (81.7–95.7) | 87.2% (78.3–93.4) |
| Ratsimbasoa | 2012 | 93.7% (69.8–99.4) | 83.3% (35.9–99.6) |
| Tiono | 2013 | 97.9% (96.3–98.8) | 53.4% (49.1–57.7) |
| Willcox | 2009 | 82.9% (78.0–87.1) | 78.9% (63.9–89.7) |
Most studies used microscopy as a gold standard, those that used PCR are denoted with a p. Two studies [15, 56] used two different types of RDTs and calculated separate sensitivities and specificities for each; RDT sensitivity and specificity using a pLDH RDT is denoted with an a; RDT sensitivity and specificity using a HRP-2 RDT is denoted with a b. Another study [16] included sensitivity and specificity data from a cross-sectional study nested in a larger longitudinal study; RDT sensitivities and specificities from the longitudinal study are denoted with an c; RDT sensitivities and specificities from the cross-sectional study are denoted with a d. Two studies [59, 82] included sensitivity and specificity data from different transmission seasons; RDT sensitivities and specificities from higher-transmission seasons are denoted with an e; RDT sensitivities and specificities from lower-transmission seasons are denoted with a f. Ansah et al. reported sensitivities and specificities of individual drug shops, but not an overall value for either measure [70]. As such, a range of sensitivities and specificities is reported. Confidence intervals were included if reported in the original study
Appropriate treatment overall, RDT-positive and RDT-negative results
| Author | Year | Appropriate Treatment (%) | Positives Treated (%) | Negatives Not Treated (%) |
|---|---|---|---|---|
|
| ||||
| Bastiaens | 2011 | 90.4% | 100.0% | 90.0% |
| Batwala | 2011 | 88.5% | 100.0% | 76.6% |
| Bisoffi | 2009 | 60.7% | 97.7% | 19.0% |
| Bottieau | 2013 | 93.4% | 95.1% | 92.8% |
| Chinkhumba | 2010 | 86.9% | 98.0% | 57.9% |
| Cundill | 2015 | 91.4% | 80.3% | 95.1% |
| Hamer | 2007 | 78.7% | 96.6% | 64.5% |
| Masanja | 2010 | 95.9% | 95.8% | 96.0% |
| Mbacham | 2014 | 56.1% | 72.1% | 48.1% |
| Mbacham | 2014 | 70.8% | 72.9% | 69.4% |
| Nicastri | 2009 | 66.4% | 55.6% | 67.0% |
| Reyburn | 2007 | 54.4% | 98.9% | 46.3% |
| Shakely | 2013 | 99.9% | 100.0% | 99.9% |
| Skarbinski | 2009 | 88.0% | 92.9% | 87.2% |
| Uzochukwu | 2011 | 60.0% | 100.0% | 25.9% |
|
| ||||
| Ansah | 2015 | 97.7% | 99.5% | 93.8% |
| Awor | 2015 | 91.1% | 93.5% | 82.8% |
| Cohen | 2015 | 80.0% | 83.3% | 56.3% |
| Ikwuobe | 2013 | 55.4% | 100.0% | 48.4% |
| Mbonye | 2015 | 98.8% | 99.0% | 98.5% |
|
| ||||
| Chanda | 2011 | 98.4% | 98.4% | 98.4% |
| Hamainza | 2014 | 83.2% | 61.6% | 98.0% |
| Hamer | 2012 | 99.3% | 98.5% | 99.6% |
| Mubi | 2011 | 96.8% | 99.7% | 93.9% |
| Mukanga | 2011 | 96.7% | 96.5% | 97.5% |
| Mukanga | 2012 | 99.1% | 99.9% | 95.1% |
| Thiam | 2012 | - | 96.6% | - |
‘a’ denotes appropriate treatment for clinicians in the basic intervention group of the Mbacham study; ‘b’ denotes appropriate treatment for clinicians in the enhanced intervention group of the Mbacham study [80]. Thiam and colleagues did not report the number of negatives not treated, making the calculation of the total amount of appropriate treatment inappropriate [84]
Fig. 2Temporal trend in the proportion of RDT-negative patients not treated given antimalarials in studies conducted in the formal health care sector