The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Diagnostic point-of-care tests in resource-limited settings
Open accessAbstract
Diagnostic point-of-care (POC) testing is intended to minimize the time to obtain a test result, thereby allowing clinicians and patients to make an expeditious clinical decision. As POC tests expand into resource-limited settings (RLS), the benefits must outweigh the costs. To optimize POC testing in RLS, diagnostic POC tests need rigorous evaluations focused on relevant clinical outcomes and operational costs, which differ from evaluations of conventional diagnostic tests. Here, we reviewed published studies on POC testing in RLS, and found no clearly defined metric for the clinical utility of POC testing. Therefore, we propose a framework for evaluating POC tests, and suggest and define the term “test efficacy” to describe a diagnostic test’s capacity to support a clinical decision within its operational context. We also proposed revised criteria for an ideal diagnostic POC test in resource-limited settings. Through systematic evaluations, comparisons between centralized diagnostic testing and novel POC technologies can be more formalized, and health officials can better determine which POC technologies represent valuable additions to their clinical programs.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Methods for the Economic Evaluation of Health Care Programmes
Drummond, M. E., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005) · doi:10.1093/oso/9780198529446.001.0001 · Cited by 13,648
ELECTRODE SYSTEMS FOR CONTINUOUS MONITORING IN CARDIOVASCULAR SURGERY
Clark, L. C., & Lyons, C. (1962) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1962.tb13623.x · Cited by 3,945
Rapid Molecular Detection of Tuberculosis and Rifampin Resistance
Boehme, C. C., Nabeta, P., Hillemann, D., Nicol, M. P., Shenai, S., Krapp, F., Allen, J., Tahirli, R., Blakemore, R., Rustomjee, R., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907847 · Cited by 2,309
Cost-Benefit Analysis: Concepts and Practice
Boardman, A. E., Greenberg, D. H., Vining, A. R., & Weimer, D. L. (1996) · Cited by 1,920
Grading quality of evidence and strength of recommendations for diagnostic tests and strategies
Schünemann, H. J., Oxman, A. D., Brozek, J., Glasziou, P., Jaeschke, R., Vist, G. E., Williams, J. W., Kunz, R., Craig, J., Montori, V. M., et al. (2008) · BMJ · doi:10.1136/bmj.39500.677199.ae · Cited by 1,782
Problems of Spectrum and Bias in Evaluating the Efficacy of Diagnostic Tests
Ransohoff, D. F., & Feinstein, A. R. (1978) · New England Journal of Medicine · doi:10.1056/nejm197810262991705 · Cited by 1,734
Applying the right statistics: analyses of measurement studies
Bland, J. M., & Altman, D. G. (2003) · Ultrasound in Obstetrics & Gynecology · doi:10.1002/uog.122 · Cited by 1,311
Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults
Steingart, K. R., Schiller, I., Horne, D. J., Pai, M., Boehme, C. C., & Dendukuri, N. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009593.pub3 · Cited by 1,102
Point-of-Care Diagnostics for Global Health
Yager, P., Domingo, G. J., & Gerdes, J. (2008) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.10.061807.160524 · Cited by 1,076
Cited by
Becherer, L., Borst, N., Bakheit, M., Frischmann, S., Zengerle, R., & von Stetten, F. (2020) · Analytical Methods · doi:10.1039/c9ay02246e · Cited by 429
Point-of-Care Diagnostics in Low Resource Settings: Present Status and Future Role of Microfluidics
Sharma, S., Zapatero-Rodríguez, J., Estrela, P., & O'Kennedy, R. (2015) · Biosensors · doi:10.3390/bios5030577 · Cited by 349
Beyond the lateral flow assay: A review of paper-based microfluidics
Carrell, C., Kava, A., Nguyen, M., Menger, R., Munshi, Z., Call, Z., Nussbaum, M., & Henry, C. (2019) · Microelectronic Engineering · doi:10.1016/j.mee.2018.12.002 · Cited by 336
Recent advances in molecularly imprinted polymer-based electrochemical sensors
Li, Y., Luo, L., Kong, Y., Li, Y., Wang, Q., Wang, M., Li, Y., Davenport, A., & Li, B. (2024) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2024.116018 · Cited by 308
Rapid Detection of Mycobacterium tuberculosis by Recombinase Polymerase Amplification
Boyle, D. S., McNerney, R., Teng Low, H., Leader, B. T., Pérez-Osorio, A. C., Meyer, J. C., O'Sullivan, D. M., Brooks, D. G., Piepenburg, O., & Forrest, M. S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103091 · Cited by 164
Metadata
- Authors
- Drain, P. K., Hyle, E. P., Noubary, F., Freedberg, K. A., Wilson, D., Bishai, W. R., Rodriguez, W., & Bassett, I. V.
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 14
- Issue
- 3
- Pages
- 239-249
- ISSN
- 1473-3099 (ISSN-L)
- OpenAlex
- W2119525065
- Cited by
- 744
- References
- 117
- FWCI
- 16.32
- Type
- journal article
- Language
- en
- Open access
- green
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- Drain, P. K., Hyle, E. P., Noubary, F., Freedberg, K. A., Wilson, D., Bishai, W. R., Rodriguez, W., & Bassett, I. V. (2014). Diagnostic point-of-care tests in resource-limited settings. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(13)70250-0
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