Reducing malaria misdiagnosis: the importance of correctly interpreting Paracheck Pf® "faint test bands" in a low transmission area of Tanzania.

BACKGROUND: Although malaria rapid diagnostic tests (RDTs) have been extensively evaluated since their introduction in the early 1990's, sensitivity and specificity vary widely limiting successful integration into clinical practice. This paper reviews specific issues surrounding RDT use in field settings and presents results of research investigating how to interpret "faint test bands" on ParaCheck Pf® in areas of low transmission in order to reduce malaria misdiagnosis. METHODS: A multi-phase cross-sectional study was conducted at a remote hospital in the northern Tanzanian highlands. Capillary blood samples were taken from consenting participants (n = 319) for blood smear and ParaCheck Pf® testing. Primary outcome variables were sensitivity, specificity and proportion misdiagnosed by ParaCheck Pf® and local microscopy. ParaCheck Pf® "faint bands" were classified as both true positives or true negatives during evaluation to determine appropriate clinical interpretation. Multivariate logistic regression adjusted for age and gender was conducted to determine odds of misdiagnosis for local microscopy and ParaCheck Pf®. RESULTS: Overall, 23.71% of all ParaCheck Pf® tests resulted in a "faint band" and 94.20% corresponded with true negatives. When ParaCheck Pf® "faint bands" were classified as positive, specificity was 75.5% (95% CI = 70.3%-80.6%) as compared to 98.9% (95% CI = 97.0%-99.8%) when classified as negative. The odds of misdiagnosis by local microscopy for those > 5 years as compared to those ≤ 5 years are 0.370 (95% CI = 0.1733-0.7915, p = 0.010). In contrast, even when ParaCheck Pf® faint bands are considered positive, the odds of misdiagnosis by ParaCheck Pf® for those > 5 years as compared to those ≤ 5 years are 0.837 (95% CI = 0.459-1.547, p = 0.5383). CONCLUSIONS: We provide compelling evidence that in areas of low transmission, "faint bands" should be considered a negative test when used to inform clinical decision-making. Correct interpretation of RDT test bands in a clinical setting plays a central role in successful malaria surveillance, appropriate patient management and most importantly reducing misdiagnosis.

Using the social entrepreneurship approach to generate innovative and sustainable malaria diagnosis interventions in Tanzania: a case study.

BACKGROUND: There have been a number of interventions to date aimed at improving malaria diagnostic accuracy in sub-Saharan Africa. Yet, limited success is often reported for a number of reasons, especially in rural settings. This paper seeks to provide a framework for applied research aimed to improve malaria diagnosis using a combination of the established methods, participatory action research and social entrepreneurship. METHODS: This case study introduces the idea of using the social entrepreneurship approach (SEA) to create innovative and sustainable applied health research outcomes. The following key elements define the SEA: (1) identifying a locally relevant research topic and plan, (2) recognizing the importance of international multi-disciplinary teams and the incorporation of local knowledge, (3) engaging in a process of continuous innovation, adaptation and learning, (4) remaining motivated and determined to achieve sustainable long-term research outcomes and, (5) sharing and transferring ownership of the project with the international and local partner. EVALUATION: The SEA approach has a strong emphasis on innovation lead by local stakeholders. In this case, innovation resulted in a unique holistic research program aimed at understanding patient, laboratory and physician influences on accurate diagnosis of malaria. An evaluation of milestones for each SEA element revealed that the success of one element is intricately related to the success of other elements. CONCLUSIONS: The SEA will provide an additional framework for researchers and local stakeholders that promotes innovation and adaptability. This approach will facilitate the development of new ideas, strategies and approaches to understand how health issues, such as malaria, affect vulnerable communities.

Animal-human connections, "one health," and the syndemic approach to prevention.

A syndemic involves two or more afflictions that, by interacting synergistically, contribute to excess burdens of disease. A syndemic approach to prevention, meanwhile, focuses on connections among health-related problems, considers those connections when developing health policies, and aligns with forces for social change. In this short report, we expand the syndemic concept to acknowledge the extent to which animal health connects with human health and, with reference to existing publications, we demonstrate the pertinence of this expanded definition for a syndemic approach to prevention. Our demonstration assumes practical importance in relation to the concept of 'one health', which many prominent veterinary and human health scientists have recently endorsed as a sound basis for redressing human diseases, animal diseases, and environmental degradation worldwide. While social scientists have mostly ignored animal health, few 'one health' proponents have emphasized social conditions or involved social scientists. By explicitly accommodating animal-human connections in our expanded conceptualization of a syndemic, we hope to help create a space in which human health, veterinary, and social scientists may learn from one another, collaborate in research, and cooperate to clear the way for innovations in prevention.

Academic Institutions and One Health: Building Capacity for Transdisciplinary Research Approaches to Address Complex Health Issues at the Animal-Human-Ecosystem Interface.

To improve health at the human, animal, and ecosystem interface, defined as One Health, training of researchers must transcend individual disciplines to develop a new process of collaboration. The transdisciplinary research approach integrates frameworks and methodologies beyond academic disciplines and includes involvement of and input from policy makers and members of the community. The authors argue that there should be a significant shift in academic institutions' research capacity to achieve the added value of a transdisciplinary approach for addressing One Health problems. This Perspective is a call to action for academic institutions to provide the foundations for this salient shift. The authors begin by describing the transdisciplinary approach, propose methods for building transdisciplinary research capacity, and highlight three value propositions that support the case. Examples are provided to illustrate how the transdisciplinary approach to research adds value through improved sustainability of impact, increased cost-effectiveness, and enhanced abilities to mitigate potentially harmful unintended consequences. The authors conclude with three key recommendations for academic institutions: (1) a focus on creating enabling environments for One Health and transdisciplinary research, (2) the development of novel funding structures for transdisciplinary research, and (3) training of "transmitters" using real-world-oriented educational programs that break down research silos through collaboration across disciplines.

Reducing microscopy-based malaria misdiagnosis in a low-resource area of Tanzania.

Misdiagnosis of malaria is a major problem in Africa leading not only to incorrect individual level treatment, but potentially the acceleration of the spread of drug resistance in low-transmission areas. In this paper we report on the outcomes of a simple intervention that utilized a social entrepreneurship approach (SEA) to reduce misdiagnosis associated with hospital-based microscopy of malaria in a low-transmission area of rural Tanzania. A pre-post assessment was conducted on patients presenting to the hospital outpatient department with malaria and non-malaria like symptoms in January 2009 (pre-intervention) and June 2009 (post-intervention). All participants were asked a health seeking behavior questionnaire and blood samples were taken for local and quality control microscopy. Multivariate logistic regression was conducted to determine magnitude of misdiagnosis with local microscopy pre- versus- post intervention. Local microscopy pre-intervention specificity was 29.5% (95% CI = 21.6% - 38.4%) whereas the post intervention specificity was 68.6% (95% CI = 60.2% - 76.2%). Both pre and post intervention sensitivity were difficult to determine due to an unexpected low number of true positive cases. The proportion of participants misdiagnosed pre-intervention was 70.2% (95%CI = 61.3%-78.0%) as compared to 30.6% (95%CI = 23.2%-38.8%) post-intervention. This resulted in a 39.6% reduction in misdiagnosis of malaria at the local hospital. The magnitude of misdiagnosis for the pre-intervention participants was 5.3 (95%CI = 3.1-9.3) that of the post-intervention participants. In conclusion, this study provides evidence that a simple intervention can meaningfully reduce the magnitude of microscopy-based misdiagnosis of malaria for those individuals seeking treatment for uncomplicated malaria. We anticipate that this intervention will facilitate a valuable and sustainable change in malaria diagnosis at the local hospital.