| Literature DB >> 31878978 |
Yoel Lubell1,2, Arjun Chandna3,4, Frank Smithuis5,6, Lisa White7,5, Heiman F L Wertheim8, Maël Redard-Jacot9, Zachary Katz9, Arjen Dondorp7,5, Nicholas Day7,5, Nicholas White7,5, Sabine Dittrich9.
Abstract
Malaria is no longer a common cause of febrile illness in many regions of the tropics. In part, this success is a result of improved access to accurate diagnosis and effective anti-malarial treatment, including in many hard-to-reach rural areas. However, in these settings, management of other causes of febrile illness remains challenging. Health systems are often weak and other than malaria rapid tests no other diagnostics are available. With millions of deaths occurring annually due to treatable bacterial infections and the ever increasing spread of antimicrobial resistance, improvement in the management of febrile illness is a global public health priority. Whilst numerous promising point-of-care diagnostics are in the pipeline, substantial progress can be made in the interim with existing tools: C-reactive protein (CRP) is a highly sensitive and moderately specific biomarker of bacterial infection and has been in clinical use for these purposes for decades, with dozens of low-cost devices commercially available. This paper takes a health-economics approach to consider the possible advantages of CRP point-of-care tests alongside rapid diagnostic tests for malaria, potentially in a single multiplex device, to guide antimicrobial therapy for patients with febrile illness. Three rudimentary assessments of the costs and benefits of this approach all indicate that this is likely to be cost-effective when considering the incremental costs of the CRP tests as compared with either (i) the improved health outcomes for patients with bacterial illnesses; (ii) the costs of antimicrobial resistance averted; or (iii) the economic benefits of better management of remaining malaria cases and shorter malaria elimination campaigns in areas of low transmission. While CRP-guided antibiotic therapy alone cannot resolve all challenges associated with management of febrile illness in remote tropical settings, in the short-term a multiplexed CRP and malaria RDT could be highly cost-effective and utilize the well-established funding and distribution systems already in place for malaria RDTs. These findings should spark further interest amongst industry, academics and policy-makers in the development and deployment of such diagnostics, and discussion on their geographically appropriate use.Entities:
Keywords: C-reactive protein; Cost-effectiveness; Febrile illness; Malaria; Point-of-care test; Rapid diagnostic test
Mesh:
Substances:
Year: 2019 PMID: 31878978 PMCID: PMC6933672 DOI: 10.1186/s12936-019-3059-5
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1The percentage of malaria rapid diagnostic tests with a positive result [5]
Fig. 2Decision tree for management of febrile patients with a negative malaria RDT result
Fig. 3Monthly blood examination rates in four cohorts of Community Health Workers in 154 villages in rural Myanmar before and after the introduction of other basic health services. Grey dots represent observed aggregated data and blue lines indicate the predictions from a mixed effects negative binominal regression model. The vertical red line denotes the time when the basic health care package was introduced [17]
Cost per DALY averted considering higher malaria testing and treatment rates
| Introduction of treatment for NMFIs | Before | After | Sources/estimation/comments | |
|---|---|---|---|---|
| A | Median village population | 768 | McLean [ | |
| B | Monthly malaria tests carried out | 15.0 | 34.9 | McLean [ |
| C | % testing positive for malaria | 9.2% | 6.0% | McLean [ |
| D | Monthly incidence NMFI (regional average) | 38.4 | Capeding [ | |
| E | Monthly incidence malaria | 3.9 | 2.4 | (D * C)/(1 − C) |
| F | Total incidence febrile illness | 42.3 | 40.8 | D + E |
| G | Probability febrile patient attends CHW | 35% | 86% | B/F |
| H | Treated malaria cases | 1.4 | 2.1 | B * C |
| I | Untreated malaria cases | 2.5 | 0.4 | E − F |
| J | Untreated malaria cases averted | 2.2 | ∆I | |
| K | Mortality rate in untreated malaria | 1% | Lubell [ | |
| L | Monthly malaria mortality averted per village | 0.029 | J * K | |
| M | Years of life lost per death | 45 | Assumption | |
| N | DALYs averted | 0.97 | L * M | |
| O | Cost per CRP test | $1 | CRP test costs are as low as $0.5; additional costs of transport, storage and training included here | |
| P | Incremental cost per month | $ 35 | 0*B2 | |
Fig. 4Predicted prevalence and incidence of malaria in two scenarios with the only difference being the proportion of cases that are detected and treated, varying these from 35 to 86%. The grey solid line illustrates the baseline scenario and the blue solid line is the elimination strategy scenario. The dark blue solid line is the target baseline Annual Parasite Incidence (API). The grey dashed line indicates the start of elimination activities. The red dashed line is the pre-elimination threshold (an API of 1 per 1000 per year)
Fig. 5Market analysis to estimate the market size of a malaria-CRP combination test. PAM potential available market, TAM total available market, SOM serviceable and obtainable market