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Using pay for performance incentives (P4P) to improve management of suspected malaria fevers in rural Kenya: a cluster randomized controlled trial

Overview of attention for article published in BMC Medicine, October 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)

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7 X users

Citations

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Title
Using pay for performance incentives (P4P) to improve management of suspected malaria fevers in rural Kenya: a cluster randomized controlled trial
Published in
BMC Medicine, October 2015
DOI 10.1186/s12916-015-0497-y
Pubmed ID
Authors

Diana Menya, Alyssa Platt, Imran Manji, Edna Sang, Rebeccah Wafula, Jing Ren, Olympia Cheruiyot, Janice Armstrong, Brian Neelon, Wendy Prudhomme O’Meara

Abstract

Inappropriate treatment of non-malaria fevers with artemisinin-based combination therapies (ACTs) is a growing concern, particularly in light of emerging artemisinin resistance, but it is a behavior that has proven difficult to change. Pay for performance (P4P) programs have generated interest as a mechanism to improve health service delivery and accountability in resource-constrained health systems. However, there has been little experimental evidence to establish the effectiveness of P4P in developing countries. We tested a P4P strategy that emphasized parasitological diagnosis and appropriate treatment of suspected malaria, in particular reduction of unnecessary consumption of ACTs. A random sample of 18 health centers was selected and received a refresher workshop on malaria case management. Pre-intervention baseline data was collected from August to September 2012. Facilities were subsequently randomized to either the comparison (n = 9) or intervention arm (n = 9). Between October 2012 and November 2013, facilities in the intervention arm received quarterly incentive payments based on seven performance indicators. Incentives were for use by facilities rather than as payments to individual providers. All non-pregnant patients older than 1 year of age who presented to a participating facility and received either a malaria test or artemether-lumefantrine (AL) were eligible to be included in the analysis. Our primary outcome was prescription of AL to patients with a negative malaria diagnostic test (n = 11,953). Our secondary outcomes were prescription of AL to patients with laboratory-confirmed malaria (n = 2,993) and prescription of AL to patients without a malaria diagnostic test (analyzed at the cluster level, n = 178 facility-months). In the final quarter of the intervention period, the proportion of malaria-negative patients in the intervention arm who received AL was lower than in the comparison arm (7.3 % versus 10.9 %). The improvement from baseline to quarter 4 in the intervention arm was nearly three times that of the comparison arm (ratio of adjusted odds ratios for baseline to quarter 4 = 0.36, 95 % CI: 0.24-0.57). The rate of prescription of AL to patients without a test was five times lower in the intervention arm (adjusted incidence rate ratio = 0.18, 95 % CI: 0.07-0.48). Prescription of AL to patients with confirmed infection was not significantly different between the groups over the study period. Facility-based incentives coupled with training may be more effective than training alone and could complement other quality improvement approaches. This study was registered with ClinicalTrials.gov ( NCT01809873 ) on 11 March 2013.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Romania 1 <1%
Unknown 188 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 15%
Researcher 27 14%
Student > Ph. D. Student 26 14%
Student > Bachelor 16 8%
Student > Doctoral Student 10 5%
Other 35 18%
Unknown 48 25%
Readers by discipline Count As %
Medicine and Dentistry 45 24%
Nursing and Health Professions 20 10%
Social Sciences 18 9%
Economics, Econometrics and Finance 13 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 4%
Other 36 19%
Unknown 52 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 January 2016.
All research outputs
#6,001,133
of 22,830,751 outputs
Outputs from BMC Medicine
#2,299
of 3,430 outputs
Outputs of similar age
#73,343
of 280,050 outputs
Outputs of similar age from BMC Medicine
#68
of 89 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 32nd percentile – i.e., 32% 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 280,050 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 73% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.