Skip to main content
Advertisement
  • Loading metrics

Enabling the Development and Deployment of Next Generation Point-of-Care Diagnostics

  • Ratmir Derda ,

    ratmir@ualberta.ca

    Affiliation Department of Chemistry and Alberta Glycomics Centre, University of Alberta, Edmonton, Alberta, Canada

  • Jesse Gitaka,

    Affiliation Department of Clinical Medicine, Mount Kenya University, Thika, Kenya

  • Catherine M. Klapperich,

    Affiliation Department of Biomedical Engineering and Center for Future Technologies in Cancer Care, Boston University, Boston, Massachusetts, United States of America

  • Charles R. Mace,

    Affiliations Diagnostics For All, Cambridge, Massachusetts, Unites States of America, Department of Chemistry, Tufts University, Medford, Massachusetts, United States of America

  • Ashok A. Kumar,

    Affiliation School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America

  • Marya Lieberman,

    Affiliation Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, United States of America

  • Jacqueline C. Linnes,

    Affiliation Department of Biomedical Engineering and Center for Future Technologies in Cancer Care, Boston University, Boston, Massachusetts, United States of America

  • Joerg Jores,

    Affiliation International Livestock Research Institute, Nairobi, Kenya

  • Johnson Nasimolo,

    Affiliation Department of Veterinary Anatomy and Physiology, University of Nairobi, Nairobi, Kenya

  • Joseph Ndung’u,

    Affiliation Foundation for Innovative New Diagnostics, Geneva, Switzerland

  • Evans Taracha,

    Affiliation Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya

  • Abigail Weaver,

    Affiliation Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, United States of America

  • Douglas B. Weibel,

    Affiliation Departments of Biochemistry, Biomedical Engineering, and Chemistry, University of Wisconsin-Madison, Madison, Wisconsin, United States of America

  • Thomas M. Kariuki,

    Affiliation Institute of Primate Research, National Museums of Kenya, Nairobi, Kenya

  • Paul Yager

    Affiliation Department of Bioengineering, University of Washington, Seattle, Washington, United States of America

Correction

15 Jun 2015: The PLOS Neglected Tropical Diseases Staff (2015) Correction: Enabling the Development and Deployment of Next Generation Point-of-Care Diagnostics. PLOS Neglected Tropical Diseases 9(6): e0003857. https://doi.org/10.1371/journal.pntd.0003857 View correction

Introduction

About the Conference

The workshop highlighted emerging diagnostic technologies that had been presented at the site and assembled and/or tested by the attendees during the hands-on sessions. The venue attracted more than 30 presenters and 126 participants (39 international and 87 African). Specifically, African participants were from Kenya (73), Uganda (7), Tanzania (3), Ethiopia (1), Rwanda (1), Zimbabwe (1), and South Africa (1). African participants were affiliated with universities (41 from Nairobi, Kenyatta, Makerere, Egerton, Aga Khan, Strathmore, and others), hospitals and ministries, (5) or research institutes (38) such as the Institute of Primate Research (IPR), The Kenya Medical Research Institute (KEMRI), the International Livestock Research Institute (ILRI), The International Centre of Insect Physiology and Ecology (ICIPE), and the Tsetse & Trypanosomiasis Research Institute (TTRI/EGFAR). More detailed summary of the participants can be found on page 75 of the conference program (provided as a supplementary file). The workshop program consisted of three days of presentations, including a poster session and an additional two full days of hands-on demonstrations of devices that have a potential to become next generation diagnostic platforms. Reports on the development of many of these devices have been published, and their descriptions can be found in references [117] and Table 1. Importantly, however, the majority of the technologies presented had not been tested outside of a research laboratory setting. Out of 18 point-of-care (POC) devices brought to the site, 12 were assembled on-site, and 4 were manufactured from raw components (Table 1) in a self-made production facility, which was set up in a laboratory at the IPR (http://www.primateresearch.org/). A full description of the devices, list of conference presenters, attendees, and abstracts can be found in the conference program (provided as a supplementary file S1 Text); additional information, such as the videos of demonstrations and talks can be found at: http://www.glycomicscentre.ca/conferences/past-workshops/ and https://www.youtube.com/watch?v=cYTs3FoOOo4.

Genesis of This Document

During the conference, it became clear that ideas generated via interactions between North American, South American, European, and African participants could be instructive for the wider community of scientists working on POC diagnostics and the diseases that disproportionately affect low- and middle-income countries. At the crux of this document is our belief that change is only possible by building partnerships with the health science and health care systems in these countries. The demand for low cost, POC diagnostics exists, but the commercialization mechanisms needed to see them through to distribution and sustainability are, for the most part, inefficient or nonexistent. Only by building and reinforcing these systems will POC diagnostics find their way into the hands of the health care providers or clinicians who need solutions. This document shares ideas that we developed during in-person discussions and continuing correspondence between the authors from the 2012 workshop until 2015. We focus on applications in East Africa; however, we anticipate that many of these recommendations can be applied generally. We suggest solutions to the most commonly identified “broken” links along the value chain that connects ideas in the research lab with doctors, health care workers, and patients in the clinic. We anticipate that this document will serve as a renewed call to action for the development and successful deployment of POC diagnostics in low resource settings, and we address these comments to funders, governments, researchers, clinicians, and, most importantly, policy makers.

The Continuing Need for POC Diagnostics in Low Resource Settings

As the developing world strives to meet the Millennium Development Goals (MDGs) and improve quality of life [30], it will be critical to address the current heavy burden of diseases. In the therapeutic process, correct and timely diagnosis is the pillar on which treatment, follow-up, and public control measures hinge. Examples of success exist. The introduction of rapid tests for HIV has contributed greatly to widespread testing, demand for downstream services, prompt diagnosis, treatment, follow-up, and behavior change [31,32].

An example of partial success is the development and commercialization of rapid diagnostic tests (RDTs) for malaria. Malaria RDTs have been a critical tool for health care workers operating in remote locations lacking access to electricity, experienced microscopists, or other resources required to diagnose and treat patients with confidence [33]. These tests have been used to manage febrile (i.e., symptomatic) children in countries with endemic malaria [34]. Despite this success, outstanding challenges still exist in malaria diagnostics. Although the sensitivity of existing RDTs are generally able to detect malaria in a febrile patient—an important step in effective programs to manage the disease—the sensitivity is not always sufficient to detect lower levels of infections and asymptomatic carriers, which are both important in eradication campaigns [35,36]. Many malaria RDTs do not detect mixed infections and, depending on the antigenic marker used, may not be effective in monitoring responses to therapy [37,38]. A further obstacle to adoption is the attitude of health care workers towards the use of these tests [39]. Recent work in Senegal provides a model of training and implementation that may be able to overcome some of these challenges [40]. Additionally, the World Health Organization (WHO), in collaboration with the Foundation for Innovative New Diagnostics (FIND) and others, has undertaken a rigorous evaluation of the multitude of RDTs on the market; this assessment will provide users with the information required to choose the best tests available for their needs [41].

In addition to improving existing RDTs, new tests must be developed to provide options to assist in the monitoring and control of emerging diseases or those considered difficult to diagnose at the POC. Tuberculosis is an excellent example of this category of disease. One third of the world population is infected with tuberculosis (TB), approximately 9 million persons are infected each year, and there are approximately 1.2 million deaths annually [42]. Diagnostics for TB, such as Cepheid’s GeneXpert, are an excellent display of advances in diagnostic technologies but are still too expensive and bulky for POC use [43]. The 2014–2015 Ebola outbreak in West Africa and the subsequent challenges in diagnosing and controlling the disease is a classical gap that could be bridged by POC diagnostics. Timely and reliable diagnosis of cases in primary health care facilities might have altered the course of the outbreak, saving many lives with minimal disruption of the day-to-day life in the affected areas (Dhillon, 2014 #172). These POC diagnostics would not only diagnose Ebola but in a multiplex design be able to rule out other febrile infections prevalent in the region. Other priority areas include neglected tropical diseases that afflict over 1,000,000,000 of the world’s poor [44], and non-HIV sexually transmitted infections (e.g., gonorrhea, chlamydia, and syphilis). Additionally, the rising burden of noncommunicable diseases in low- and middle-income countries (e.g., hypertension, diabetes, and cancer [45]) amplifies the need for simple tests that can diagnose the disease and its complications, track treatment progress milestones, and monitor serum drug levels. As the demographics of disease change, future tests will play a greater role in preventive medicine rather than curative medicine. As efforts accelerate towards eliminating diseases, including malaria, simple tests will be critical in monitoring epidemiological trends in communities (e.g., gametocytemia prevalence) [35]. All disease control efforts require effective and reliable diagnostics in order to carry out interventions that can ultimately succeed.

Definitions

To properly frame the problems and proposed solutions (Table 2), we define key concepts below.

thumbnail
Table 2. Barriers and potential solutions to advancing POC diagnostics research.

https://doi.org/10.1371/journal.pntd.0003676.t002

Point-of-care diagnostics.

We define POC diagnostics as small, portable devices capable of detecting the presence or absence of a disease-causing agent, a disease, or quantifying the severity or a change in severity of a disease. A broader subset of POC tests also includes portable tests for quality control; for example, prototypes of the devices for detection of counterfeit pharmaceuticals were displayed and tested at this conference [17]. WHO and others [46] have outlined the functional and performance specifications for “ideal” POC diagnostic assays [47]; we will not reiterate those lists here. We do include in our definition stand-alone, one-time use devices that require no additional instrumentation, minimally-instrumented devices, and devices that include portable and easy-to-use instrumentation (e.g., cell phone-based approaches to telemedicine [48,49]).

Value chain.

Over the course of the workshop, it became clear that scientists involved in developing or using assays felt confident in their ability to define and tackle technical problems in device and assay design. However, we felt less confident as a group in our ability to identify problems along the entire chain of events between the design and development of a new device and its adoption by an end user. It is useful to define this entire process as the POC diagnostic “value chain” (Fig 1). Each link in this chain represents a potential point of failure for the entire progression from research and development to the deployment of a product that becomes part of patient care [50,51]. This chain includes: (i) assessments of clinical, market, and end user needs; (ii) determination of demand for the product (in part) through marketing, procurement, and partnership with local governmental and nongovernmental organizations; (iii) design and development of diagnostic assays and related devices; (iv) evaluation of product deliverability through considerations of packaging, shipping (and/or importing), storage, last mile distribution, and inventory control; (v) establishment of quality assurance and quality control processes for scaled-up manufacture of POC tests; (vi) filing for regulatory approval for the intended use of the technology in a broadly global marketplace; (vii) on-the-ground efforts towards ensuring adoption of the technology by users, clinics, and research laboratories; and (viii) organization of postdelivery support through user training, technical assistance, and maintenance of equipment. Ideally, this chain incorporates end user testing, feedback on performance to the developers, and subsequent cycles of POC test optimization and field testing.

thumbnail
Fig 1. Value chain of point-of-care diagnostics.

The top part displays the stakeholders that are involved in the development, commercialization, roll out, and integration of point-of-care diagnostic tests into control and surveillance programs

https://doi.org/10.1371/journal.pntd.0003676.g001

Barriers to the Successful Development and Distribution of POC Diagnostics in Low Resource Settings

It is common to discuss the “valley of death” analogy as the gap in development between the proof-of-concept demonstration of a new device and its eventual debut in the marketplace. Kumar et al. provide strategies for transitioning from a proof-of-concept to testing in field settings [52], while Chin et al. discuss different cases of commercialization [53]. These, and other reviews on POC diagnostics [54,55], make it clear that there are numerous barriers to the successful implementation of POC diagnostics in resource-limited settings, which can be associated with a particular step along the value chain. Some of the barriers related to international collaborations and technology for global health are discussed below.

Collaboration between Laboratories across Continents

Workshop attendees universally expressed a desire to set up strong transcontinental collaborations. However, the participants found that transcontinental collaborations can be challenging to establish and maintain due to limited federal funding (e.g., the United States Agency for International Development [USAID]) and other support structures (e.g., the Bill and Melinda Gates Foundation and Grand Challenges Canada) for these kinds of activities. Although successful programs (e.g., the Center for Global Health at Massachusetts General Hospital) and organizations (e.g., PATH and Seeding Labs) exist, extensive institutional mechanisms to enable, foster, and support the growth of these partnerships are needed for change to be possible. While the main goal of most collaborations is to accelerate translation of technologies, attendees felt that developers of technology are often disconnected from the actual needs of the populations they aim to serve. We reached a consensus that these misunderstandings of need are not born from misinformation but rather a lack of information. This gap arises from poor or nonexistent communication among stakeholders in governments, in clinics, and in research laboratories. Failings in communication are not unidirectional; researchers and scientists often do not know the working environment of health care workers in low-resource settings, and, conversely, health care workers in low-resource settings are often not aware of beneficial technological advances. An outcome of this workshop was the understanding that developers should engage end users before tests are designed and research and development (R&D) begins. A challenge with early engagement is obtaining resources to support travel between the developers and end users.

Critical Gaps in Needs Assessment

Often, there is a lag in time between the actual needs “on the ground” and the recognition of those needs by the global development and research communities. For example, funding mechanisms and calls for proposals in research areas specific to POC diagnostics represent needs at a particular point in time. These areas may be considered the “gold standard” by technology developers even as new challenges and opportunities arise. Although this model has been successfully used to coordinate global efforts, such mechanisms may miss opportunities where new technologies could have an impact. There is a well-recognized shortage of investment in areas of R&D that addresses specific health problems of developing economies [56]. For example, North American and European researchers may consider Rift Valley Fever and plant viruses to be “niche” applications in diagnostics, and yet a strong need exists for diagnostic solutions for these diseases.

Global research priorities are still driven by the “Big Three” (HIV, TB, and malaria), even though a global epidemiological transition has occurred [57]. Noncommunicable diseases now account for almost half of all disability-adjusted life years (DALYs) in low- and middle-income countries [58]. Although this shift is now being realized, and resources reallocated in response, earlier research into low-cost diagnostics for noncommunicable diseases could have helped in the better control of this new burden. For the research community to respond with agility to ever-shifting needs in the field, direct partnerships and assessments are necessary. We would like to see the broader technology development community focus on creating technologies that fit current and future needs rather than forcing ill-suited technologies onto a “hot” topic. Ideally, the R&D cycle begins after establishing a clear understanding of the needs and constraints of the end user and other stakeholders. With the right partners in place to help identify current problems—perhaps using a metric like DALYs directly to influence the funding of research and development programs—it will be easier to convince peers and funders that the research and technology development is worthwhile.

Flow of Information: Education of Stakeholders, Open Access, and Intellectual Property

Educating stakeholders.

To realize the full benefits of POC diagnostics, it will be critical to stimulate lasting demand and use by health care workers. Even more important to the successful adoption of POC diagnostics is the need for tests to be as good as, or more reliable than, existing POC tests or tests for diseases that exist only as laboratory tests and do not yet exist as POC tests, and an assurance of continuous quality control processes [59,60]. Previous launches of less-than-successful RDTs demonstrated the need to educate health care workers in proper test usage and inform both health care workers and community members of test reliability and the potential for better clinical outcomes from testing [61,62]. If this information is not made available, the acceptance and utility of these tests can be reduced significantly. End user adoption is critical to success.

Open access.

Significant disagreement arose surrounding the concept of open access and intellectual property. Currently, there are two strong models emerging for the development of technologies for use in resource-limited settings. One is the open access, do-it-yourself (DIY), or maker movement. This group advocates for complete open access for protocols, designs, and intellectual property so that innovators in the developing world can capitalize freely on knowledge and resources they might not otherwise be able to access. The other group endorses working through for-profit or nonprofit entities that seek sustainable solutions through the enterprise system [63]. The second group maintains that sustainability and scalability can only be achieved by building a business. The first approach reduces the barrier to entry and democratizes science; this approach, however, limits incentives for current market systems to invest in the translation of technologies into marketable products. It also overlooks the financial challenges associated with the development of manufacturing capabilities and the development of distribution streams. Strengths of the second approach include sustainability and a higher quality product with built-in assurances and controls; a disadvantage is slower access to products and the potential for the concentration of knowledge in wealthier countries.

Intellectual property.

The second approach also includes challenges associated with IP. North American and European academic systems often require that the academic inventors assign ownership of any IP to their academic institution. There are significant costs associated with initiating and completing the patenting process for any new IP. Many universities are unwilling to finance these costs unless a credible opportunity to recover them exists. To realize better returns on their IP portfolios, Western academic institutions are not motivated to defend patents that are not likely to result in high-volume or high-margin products. Thus, this IP often remains unprotected, greatly limiting the ability of the inventor to generate outside funds to commercially develop the technology for wider use. Often, such technologies are demonstrated in pilot projects and then stall due to lack of defendable IP, which further contributes to gaps in the value chain that result in fewer innovations in the marketplace. It may be possible, however, to make this unprotected IP broadly available for uses that may inspire future innovations. Funding mechanisms such as the Bill and Melinda Gates Foundation stipulate that IP emerging from R&D supported by their grants be made available to developing countries at a reasonable cost.

Barriers in Funding of Collaborations

Many attendees stressed that collaborations between African and Western partners need to happen very early along the value chain, even before the prototyping and design process of new assays. The identification and demonstration of clinical and market needs were frequently stated as the most valuable aspects of these collaborations. Additionally, these relationships enable participants to articulate specific limitations in settings that must be overcome (e.g., cultural or region-specific technological barriers). Another discussion point centered on the lack of innovation infrastructure in many East African countries, which makes it difficult for African inventors to find funding to pursue new research ideas. East African scientists stressed that collaboration within their own institutions across disciplines (e.g., between engineering and biology) remained difficult due to a lack of communication, rendering intercontinental collaborations all but impossible.

A key outcome of the workshop was the identification of a need for grant mechanisms that support initial pilot testing in Africa with African partners. It was noted that many research funding bodies in developed countries do not allow the provision of resources for foreign investigators to be paid fairly for their participation in research projects. For instance, a foreign scientist managing a pilot study of a United States-made device in Africa can often be paid as a consultant. African scientists indicated that it would be preferable to be recognized as a coprincipal investigator and compensated accordingly.

Biomedical Testing in Low Resource Settings

There is, unfortunately, a long history of Western-based organizations conducting biomedical testing in low-resource settings to skirt regulatory or ethical requirements. A North American or European scientist seeking to test a new technology in Africa should be mindful of this history. Collaborations must use the highest ethical standards to establish research studies. Partnerships realize a greater potential when partners in low-resource settings are viewed as cocreators rather than sources or end users of studies or technologies [64].

Proposals to Overcome Identified Barriers

After identifying what we consider to be the current main barriers in POC diagnostics, we came to a consensus on several proposed solutions. These proposals do not represent a comprehensive list, but we anticipate that they will function as a starting point for action.

New Funding Mechanisms

Many of the proposed solutions were related to funding. The level of funding is secondary to the ability of funding mechanisms to work across national and scientific borders. One suggestion is the creation of more calls for proposals that emphasize the participation of multidisciplinary researchers and crosscutting research: for example, grants that focus on translating technologies from the research laboratory to the clinic or grants to study areas like quality control and assurance, which are often orphans in the current funding landscape. The Center for Affordable Medical Technologies’ Innovation Award [65] is an example of what such RFPs might look like.

Scientists and technology developers should become educated in policies and active advocates for changes in global funding paradigms. The negotiations over a proposed Global R&D Treaty at WHO went largely unknown to the scientific communities that would benefit most from such a proposed agreement [66,67]. The scientific community could provide a powerful voice to the debates shaping global research funding; currently, this debate only occurs among policy makers and trade representatives. Innovative funding incentives can bring attention to technologies for neglected and rare diseases.

Also proposed was the establishment of funds for national and international exchange programs for scientists, student researchers, and clinicians. It is immensely useful for biomedical engineers to visit field sites to see processes and challenges in delivering care firsthand. Increasing the numbers of interactions between clinicians and engineers can serve to educate clinicians about what is possible now and what may be possible in the future with ongoing research and collaboration.

Improved Timing of Collaborations across Borders

There was a strong incentive among workshop attendees to work together and collaborate; however, participants acknowledged the critical disconnects in communication and funding. Without ongoing communication mechanisms—such as through conferences, literature, and real time collaborations—a practical disconnect will remain between the perceived needs of developers and end users. These mismatches will continue to grow in the absence of collaborations.

It was also noted that developers of technologies and POC diagnostics should clearly communicate timelines to potential end users. When this timeline—for the development pipeline and for product launch—is not clear, end users often grow wary of hearing about “the next new thing” that is promised to save lives but never arrives. When obstacles in the value chain are acknowledged before product development, some of these misperceptions can be avoided. Western scientists may be rewarded by granting mechanisms for overly optimistic projections of success in terms of time and impact. There are real disadvantages in terms of buy-in from African partners when these projections are unmet. It is the responsibility of technology developers to be pragmatic and set realistic expectations.

There are several ways for funders, governments, and policy makers to promote active collaborations between individuals and institutions. First, they can facilitate contact between groups. It is often difficult for technology developers and clinical practitioners to find collaborative partners with mutual interests and complementary skills. Our workshop provided a venue for such connections to begin to percolate; however, only with repeated interactions that build familiarity and trust between participants can strong and mutually-supportive collaborations be forged from trust and familiarity. Support for other international conferences is one way to foster new partnerships. Other mechanisms include using social media and the Internet to connect people with similar interests and complementary skill sets. Establishment of a virtual community of technology developers, scientists, and clinicians similar to the Global Health Delivery Online (www.ghdonline.org) community could provide a secure forum for the active exchange of ideas for those without the resources for travel. GHDonline is a free, subscription-based website that requires users to log into a social media environment. This semiprivate, moderated forum has been very useful to clinicians all over the world. We believe that new collaborations could nucleate from such an environment. A moderated online forum could also serve as a venue for the training, technology assessment, and dissemination of results. Moderation requires funding; we feel that an unmoderated site would be unsuccessful. Second, the establishment of proper protocols for research is confusing and difficult to navigate when scientific teams consist of individuals from different countries. Funding agencies could support and promote country specific mentoring services to shepherd investigators through the process. Stakeholders in technology development and in patient care could greatly benefit from such mentoring.

Education of Stakeholders

There are often barriers to the clinical adoption of POC tests due to the lack of information or misinformation about the tests. Users will not transition to a new test simply because it is touted as better than the standard of care; they must be convinced with data and trained by knowledgeable users. In the best case, these knowledgeable users are their peers. Trust between trainers and technology-adopters is paramount when patient outcomes are at stake. The following mechanisms have the potential to mainstream simple tests into routine medical practice: (i) develop and update health curricula to reflect advances in POC diagnostics; (ii) provide refresher workshops to educate health care workers on developments in POC diagnostics; (iii) disseminate updates of information or progress using mass media; (iv) establish dedicated online resources for the use and interpretation of POC diagnostics.

Barriers can also arise from misunderstandings. In some cases, there is a misperception that POC tests will completely replace clinical laboratories and extract jobs and financial support from hospitals. POC tests will ideally augment medical systems found within clinical laboratories rather than to replace clinical laboratories altogether. Working with clinical laboratories during development and communicating objectives can avoid misunderstandings from becoming obstacles. The challenges associated with distributing POC tests to end users can drive the development of business models that create new jobs, such as health care workers that buy the tests, transport them to test sites, and perform the assays.

Another important avenue for education is the scientific literature. New technologies and discoveries are often published behind prohibitively expensive paywalls that prevent end users in both developed and developing countries from accessing valuable knowledge about effectiveness and validation. Open-access publishing (e.g., the Public Library of Science) and open access archives (e.g., ArXiv and bioRxiv) provide two alternatives that can reduce barriers to access and enable the education of stakeholders. Open access to high quality scientific literature will ultimately promote the adoption of the best technologies available to solve appropriate problems.

Re-evaluation of the Current Paradigms in POC Technology Promotion

When the Bill and Melinda Gates Foundation and other agencies set forth a list of priorities for POC testing in low-resource settings approximately one decade ago, a number of assumptions were made regarding the forward progress of the field. We feel that a reexamination of those assumptions is warranted in the context of what has been learned in the past ten years. For example, one of the original papers suggests: “… when a new test is introduced, it will initially be available to the providers with the most sophisticated infrastructure, followed by those with progressively worse infrastructure” [68]. It is unclear whether such an implementation model has been successful.

Further, the cost of a POC test—including necessary labor, transportation, storage, and quality control—in many cases must be very low to offer a true advantage. In some cases, the decrease in cost and increase in functionality of associated technologies, like mobile devices, may shift the balance back toward a model that approximates the function of a centralized laboratory. A model consisting of regional centers with testing equipment can be more expensive and have a slower turn-around time than centralized testing performed at a single national center but combined with mobile reporting systems.

The assumption that the lowest cost test will be the best test for low resource settings was challenged at the workshop. Many participants noted pushback from clinicians and patients when an inexpensive test was perceived as shoddy or substandard. The presence of one poorly executed test in the marketplace can negatively impact end user perceptions of POC tests. Quality control and test validation has emerged as an area of increased concern over the last decade. It has been well documented that pharmaceuticals are substandard or counterfeited at alarming rates in both low- and high-resource settings [69]. It is a lesser-acknowledged problem that POC diagnostics are also subject to poor regulatory oversight and counterfeiting activity [70]. When quality control is poor and tests do not result in better patient care, those tests will be rejected by patients and clinicians. The group identified a need for POC diagnostics with built-in quality control and quality assurance measures. Incorporating appropriate innovations, such as temperature-monitoring labels, serializing tests, mobile phone–based product verification, and tracking expiration dates were described. Mechanisms for postmarket surveillance are challenging in many settings, but this need should be addressed by both manufacturers and regulatory agencies.

Promotion of African Research Laboratories

We believe that strengthening the ability of laboratories in low-resource settings to perform innovative research in the area of POC diagnostics is an investment that could have the most transformative impact on the field. African scientists are uniquely positioned to address all of the links along the local value chain. There are several nascent groups with the potential to galvanize the scientific community interested in diagnostics development in Africa. Examples include the African Society for Laboratory Medicine (www.aslm.org) and African Network for Drugs and Diagnostics Innovation (http://www.andi-africa.org). Analogies were drawn to the recent surge in innovation surrounding mobile technologies in Africa. The “Silicon Savannah” concept has largely been applied to information technologies and not to biomedicine [71]. These organizations should aim to continue to promote and strengthen the concept of African innovation in translational biomedicine.

It was also noted that public universities in Africa do not yet have the same culture of interdisciplinary research as in the Western world. Efforts to promote research that crosses over traditional academic “silos” is necessary to generate crossdisciplinary research and realize new POC technologies. Funding agencies and governments can have an impact on this kind of collaboration within African institutions. Many North American and European universities have adopted more crosscutting research models in the biological sciences. The transition has taken years, due to the lack of clear rewards for participating in collaborative research (as opposed to working alone). In the US, the National Institutes of Health has focused on translational research through the creation of a new center in 2011 [72], and several private funders have announced requests for proposals that require a collaborative approach. These changes, and others, have begun to drive research in more multidisciplinary directions. Strengthening of the regulatory infrastructure in African countries was cited as another investment that could greatly change the impact of African innovation. Clear mechanisms for getting legal approval and for postmarket surveillance are needed if devices are to make it to market quickly and patient safety is to be maintained.

Sustainability

Overarching all of these recommendations is the need for sustainability. It is not enough to bring a new test to the marketplace and have it be adopted. Supply chains must be maintained, procurement must be simplified, and repairs or changes in protocols must be easy to communicate to the end user. All of these components require systems-level thinking on the part of the technology developers and distributors. Practical issues of sustainability should be discussed early and revisited often. Further, the value of POC diagnostics to overall health care must be made clear to funders and governments in quantitative terms. Use of POC diagnostics should be included in epidemiological and economic modeling studies in order to attach a value to the assay or the technology. When the use of a POC diagnostic improves health care outcomes and reduces the time to initiate as well as the cost of treatment, it becomes easier to lobby for the allocation of future expenditures to be directed towards the deployment of specific POC diagnostics.

Several attendees suggested the establishment of mechanisms for the sustainable production of the solution (i.e., the POC diagnostic) in the country or region of use. These mechanisms include protocols for transferring technologies from a developed country to a developing country. Also important is the stimulation of market forces to drive the development and implementation of these new technologies. Sustainability depends on building capacity in Africa for interdisciplinary training and research. Ideally, technologies will arise within Africa and remove the current challenges associated with the transfer of technology between developed and developing countries. Student and scientist exchanges will also support sustainability by enabling African scientists to gain technical skills and interdisciplinary training and teaching North American and European scientists how to innovate in low-resource settings and to assess specific needs.

Summary

A major goal of the 1st International Point-of-Care Diagnostic Workshop in Nairobi, Kenya was to provide a forum for open dialog concerning current challenges in, and potential solutions for, the development of the next generation of POC diagnostics. The focus was not solely on descriptions of new technologies in development but also included demonstrations of their use in a field setting. The resulting conversations identified a number of obstacles to the successful translation of prototypes into field-deployable tools. These obstacles superseded those typically encountered in research; changes must be implemented at the institutional and governmental level to enable equitable collaborations between Western and African partners, and proper funding mechanisms must be established to support these collaborations. Additionally, this workshop showcased emerging technologies for POC tests and fostered new partnerships between technology developers and African research laboratories. Equitable partnerships are critical for the successful implementation of new POC technology. The attendees agreed that the most effective methods to effect change require improved communication of needs, ideas and abilities, and a conduit for the sharing of experiences and information. We plan to implement many of the changes that are suggested here in our own research programs and to use future conferences and workshops to guide the development of both technologies and partnerships. Our successes and failures will serve as models for those scientists striving to develop technological and biomedical solutions to similar problems in global health.

Supporting Information

S1 Text. The conference program containing full description of the devices, list of conference presenters, attendees, and abstracts of the presentations.

https://doi.org/10.1371/journal.pntd.0003676.s001

(PDF)

References

  1. 1. Wong AP, Gupta M, Shevkoplyas SS, Whitesides GM, George M (2008) Egg beater as centrifuge: isolating human blood plasma from whole blood in resource-poor settings. Lab Chip 8: 2032–2037. pmid:19023465
  2. 2. Carrilho E, Martinez AW, Whitesides GM (2009) Understanding Wax Printing: A Simple Micropatterning Process for Paper-Based Microfluidics. Anal Chem 81: 7091–7095. pmid:20337388
  3. 3. Hossain SMZ, Luckham RE, McFadden MJ, Brennan JD (2009) Reagentless Bidirectional Lateral Flow Bioactive Paper Sensors for Detection of Pesticides in Beverage and Food Samples. Anal Chem 81: 9055–9064. pmid:19788278
  4. 4. Taylor D, Dyer D, Lew V, Khine M (2010) Shrink film patterning by craft cutter: complete plastic chips with high resolution/high-aspect ratio channel. Lab Chip 10: 2472–2475. pmid:20680207
  5. 5. Lutz BR, Trinh P, Ball C, Fu E, Yager P (2011) Two-dimensional paper networks: programmable fluidic disconnects for multi-step processes in shaped paper. Lab Chip 11: 4274–4278. pmid:22037591
  6. 6. Fu E, Liang T, Houghtaling J, Ramachandran S, Ramsey SA, et al. (2011) Enhanced Sensitivity of Lateral Flow Tests Using a Two-Dimensional Paper Network Format. Anal Chem 83: 7941–7946. pmid:21936486
  7. 7. Fu E, Lutz B, Kauffman P, Yager P (2010) Controlled reagent transport in disposable 2D paper networks. Lab Chip 10: 918–920. pmid:20300678
  8. 8. Han X, van Berkel C, Gwyer J, Capretto L, Morgan H (2012) Microfluidic Lysis of Human Blood for Leukocyte Analysis Using Single Cell Impedance Cytometry. Anal Chem 84: 1070–1075. pmid:22148390
  9. 9. Beech JP, Holm SH, Adolfsson K, Tegenfeldt JO (2012) Sorting cells by size, shape and deformability. Lab Chip 12: 1048–1051. pmid:22327631
  10. 10. Cira NJ, Ho JY, Dueck ME, Weibel DB (2012) A self-loading microfluidic device for determining the minimum inhibitory concentration of antibiotics. Lab Chip 12: 1052–1059. pmid:22193301
  11. 11. Funes-Huacca M, Wu A, Szepesvari E, Rajendran P, Kwan-Wong N, et al. (2012) Portable self-contained cultures for phage and bacteria made of paper and tape. Lab Chip 12: 4269–4278. pmid:22895550
  12. 12. Schilling KM, Lepore AL, Kurian JA, Martinez AW (2012) Fully Enclosed Microfluidic Paper-Based Analytical Devices. Anal Chem 84: 1579–1585. pmid:22229653
  13. 13. Mace CR, Akbulut O, Kumar AA, Shapiro ND, Derda R, et al. (2012) Aqueous Multiphase Systems of Polymers and Surfactants Provide Self-Assembling Step-Gradients in Density. J Am Chem Soc 134: 9094–9097. pmid:22594904
  14. 14. Kausar A, Mitran CJ, Li Y, Gibbs-Davis JM (2013) Rapid, isothermal DNA self-replication induced by a destabilizing lesion. Angew Chem Int Ed 52: 10577–10581. pmid:23922255
  15. 15. Hossain SMZ, Ozimok C, Sicard C, Aguirre SD, Ali MM, et al. (2012) Multiplexed paper test strip for quantitative bacterial detection. Anal Bioanal Chem 403: 1567–1576. pmid:22526653
  16. 16. Pollock NR, Rolland JP, Kumar S, Beattie PD, Jain S, et al. (2012) A paper-based multiplexed transaminase test: towards low-cost point-of-care liver function testing. Sci Transl Med 4: 152ra129.
  17. 17. Weaver AA, Reiser H, Barstis T, Benvenuti M, Ghosh D, et al. (2013) Paper analytical devices for fast field screening of beta lactam antibiotics and antituberculosis pharmaceuticals. Anal Chem 85: 6453–6460. pmid:23725012
  18. 18. Hackteria.org (2011) DYI Microscopy. http://hackteria.org/wiki/index.php/DIY_microscopy (Acessed Feb 3, 2015).
  19. 19. Hackteria.org (2011) DYI Micro Laser Cutter. http://hackteria.org/wiki/index.php/DIY_Micro_Laser_Cutter (acessed on Feb 3, 2015).
  20. 20. Vella SJ, Beattie P, Cademartiri R, Laromaine A, Martinez AW, et al. (2012) Measuring markers of liver function using a micropatterned paper device designed for blood from a fingerstick. Anal Chem 84: 2883–2891. pmid:22390675
  21. 21. Pollock NR, McGray S, Colby DJ, Noubary F, Nguyen H, et al. (2013) Field evaluation of a prototype paper-based point-of-care fingerstick transaminase test. PLoS One 8: e75616. pmid:24098705
  22. 22. Kumar AA, Chunda-Liyoka C, Hennek JW, Mantina H, Lee SYR, et al. (2014) Evaluation of a Density-based Rapid Diagnostic Test for Sickle Cell Disease in a Clinical Setting in Zambia. PLoS One 9: e114540. pmid:25490722
  23. 23. Kumar AA, Lim C, Moreno Y, Mace CR, Syed A, et al. (2015) Enrichment of Reticulocytes from Whole Blood using Aqueous Multiphase Systems of Polymers. Am J Hematol 90: 31–36. pmid:25263455
  24. 24. Kumar AA, Patton MR, Hennek JW, Lee SYR, D'Alesio-Spina G, et al. (2014) Density-based Separation in Multiphase Systems Provides a Simple Method to Identify Sickle Cell Disease. Proc Natl Acad Sci U S A 111: 14864–14869. pmid:25197072
  25. 25. van Berkel C, Gwyer JD, Deane S, Green NG, Holloway J, et al. (2011) Integrated systems for rapid point of care (PoC) blood cell analysis. Lab Chip 11: 1249–1255. pmid:21331413
  26. 26. Sorrell CD, Serpe MJ (2012) Glucose sensitive poly (N-isopropylacrylamide) microgel based etalons. Anal Bioanal Chem 402: 2385–2393. pmid:22281682
  27. 27. Ho JY, Cira NJ, Crooks JA, Baeza J, Weibel DB (2012) Rapid identification of ESKAPE bacterial strains using an autonomous microfluidic device. PLoS One 7: e41245. pmid:22848451
  28. 28. Kausar A, McKay RD, Lam J, Bhogal RS, Tang AY, et al. (2011) Tuning DNA stability to achieve turnover in template for an enzymatic ligation reaction. Angew Chem Int Ed 50: 8922–8926. pmid:21905182
  29. 29. Kremer C, Neale S, Menachery A, Barrett M, Cooper JM (2012) Optoelectronic tweezers for medical diagnostics. In: Miller BL, Fauchet PM, editors. SPIE BiOS: International Society for Optics and Photonics. pp. 82120E.
  30. 30. Mittelmark MB (2009) Millenium Development Goals. Global health promotion 16: 3–4, 73–74, 88–79. pmid:20028663
  31. 31. Branson BM (2003) Point-of-Care Rapid Tests for HIV Antibodies. Laboratoriums Medizin 27: 288–295.
  32. 32. Respess RA, Rayfield MA, Dondero TJ (2001) Laboratory testing and rapid HIV assays: applications for HIV surveillance in hard-to-reach populations. AIDS 15: S49–S59. pmid:11816175
  33. 33. Perkins MD, Bell DR (2008) Working without a blindfold: the critical role of diagnostics in malaria control. Malar J 7 Suppl 1:S5. pmid:19091039
  34. 34. Bell D (2006) The Use of Malaria Rapid Diagnostic Tests. In: Organization WH, editor. http://iris.wpro.who.int/bitstream/10665.1/5523/1/9290612045_eng.pdf: World Health Organization.
  35. 35. McMorrow ML, Aidoo M, Kachur SP (2011) Malaria rapid diagnostic tests in elimination settings-can they find the last parasite? Clin Microbiol Infect 17: 1624–1631. pmid:21910780
  36. 36. Maltha J, Gillet P, Jacobs J (2013) Malaria rapid diagnostic tests in endemic settings. Clin Microbiol Infect 19: 399–407. pmid:23438048
  37. 37. Reyburn H, Mbakilwa H, Mwangi R, Mwerinde M, Olomi R, et al. (2007) Rapid diagnostic tests compared with malaria microscopy for guiding outpatient treatment of febrile illness in Tanzania: randomised trial. Br Med J 334: 403–406A.
  38. 38. Murray CK, Gasser RA Jr., Magill AJ, Miller RS (2008) Update on rapid diagnostic testing for malaria. Clin Microbiol Rev 21: 97–110. pmid:18202438
  39. 39. Hamer DH, Ndhlovu M, Zurovac D, Fox M, Yeboah-Antwi K, et al. (2007) Improved diagnostic testing and malaria treatment practices in Zambia. JAMA, J Am Med Assoc 297: 2227–2231.
  40. 40. Thiam S, Thior M, Faye B, Ndiop M, Diouf ML, et al. (2011) Major Reduction in Anti-Malarial Drug Consumption in Senegal after Nation-Wide Introduction of Malaria Rapid Diagnostic Tests. PLoS One 6: e18419. pmid:21494674
  41. 41. (2014) Malaria rapid diagnostic test performance. Results of WHO product testing of malaria RDTs: Round 5 (2013). WHO Report http://wwwwhoint/malaria/publications/atoz/9789241507554/en/.
  42. 42. WHO (2014) Antimicrobial resistance: global report on surveillance 2014. http://www.who.int/drugresistance/documents/surveillancereport/en/ (accessed on Feb 3, 2015): WHO.
  43. 43. Lawn SD, Mwaba P, Bates M, Piatek A, Alexander H, et al. (2013) Advances in tuberculosis diagnostics: the Xpert MTB/RIF assay and future prospects for a point-of-care test. Lancet Infect Dis 13: 349–361. pmid:23531388
  44. 44. Hotez PJ, Molyneux DH, Fenwick A, Kumaresan J, Sachs SE, et al. (2007) Current concepts—Control of neglected tropical diseases. N Engl J Med 357: 1018–1027. pmid:17804846
  45. 45. Boutayeb A (2006) The double burden of communicable and non-communicable diseases in developing countries. Trans R Soc Trop Med Hyg 100: 191–199. pmid:16274715
  46. 46. Mabey D, Peeling RW, Ustianowski A, Perkins MD (2004) Diagnostics for the developing world. Nat Rev Microbiol 2: 231–240. pmid:15083158
  47. 47. Peeling RW, Smith PG, Bossuyt PMM (2006) A guide for diagnostic evaluations. Nat Rev Microbiol 4: S2–6. pmid:17110921
  48. 48. Laksanasopin T, Guo TW, Nayak S, Sridhara AA, Xie S, et al. (2015) A smartphone dongle for diagnosis of infectious diseases at the point of care. Sci Transl Med 7: 273re271.
  49. 49. Nemiroski A, Christodouleas DC, Hennek JW, Kumar AA, Maxwell EJ, et al. (2014) Universal mobile electrochemical detector designed for use in resource-limited applications. Proc Natl Acad Sci U S A 111: 11984–11989. pmid:25092346
  50. 50. Porter ME (2008) Value-Based Health Care Delivery. Ann Surg 248: 503–509. pmid:18936561
  51. 51. Weintraub RL, Talbot J, Ole-MoiYoi K, Wachter K, Sullivan E, et al. (2011) Strategic, Value-Based Delivery in Global Health Care: Innovations at Harvard University and Brigham and Women's Hospital. Mt Sinai J Med 78: 458–469. pmid:21598271
  52. 52. Kumar AA, Hennek JW, Smith BS, Kumar S, Beattie P, et al. (2015) From the Bench to the Field in Low-Cost Diagnostics. Angew Chem Int Ed. E-pub ahead of print. https://doi.org/10.1002/anie.201411741
  53. 53. Chin CD, Linder V, Sia SK (2012) Commercialization of microfluidic point-of-care diagnostic devices. Lab Chip 12: 2118–2134. pmid:22344520
  54. 54. Yager P, Domingo GJ, Gerdes J (2008) Point-of-care diagnostics for global health. Annu Rev Biomed Eng. pp. 107–144.
  55. 55. Niemeier D, Gombachika H, Richards-Kortum R (2014) How to transform the practice of engineering to meet global health needs. Science 345: 1287–1290. pmid:25214615
  56. 56. Rottingen J-A, Regmi S, Eide M, Young AJ, Viergever RF, et al. (2013) Mapping of available health research and development data: what's there, what's missing, and what role is there for a global observatory? Lancet 382: 1286–1307. pmid:23697824
  57. 57. Sridhar D, Batniji R (2008) Misfinancing global health: a case for transparency in disbursements and decision making. Lancet 372: 1185–1191. pmid:18926279
  58. 58. Mathers C, Boerma T, Ma Fat D (2004) The global burden of disease: 2004 update http://www.who.int/healthinfo/global_burden_disease/2004_report_update/en/ (Acessed Feb 3, 2015): WHO.
  59. 59. Wang J (2006) Electrochemical biosensors: Towards point-of-care cancer diagnostics. Biosens Bioelectron 21: 1887–1892. pmid:16330202
  60. 60. Shott JP, Galiwango RM, Reynolds SJ (2012) A quality management approach to implementing point-of-care technologies for HIV diagnosis and monitoring in sub-Saharan Africa. J Trop Med 2012: 651927-Article ID 651927.
  61. 61. Kyabayinze DJ, Asiimwe C, Nakanjako D, Nabakooza J, Counihan H, et al. (2010) Use of RDTs to improve malaria diagnosis and fever case management at primary health care facilities in Uganda. Malar J 9: 200. pmid:20624312
  62. 62. Mukanga D, Tibenderana JK, Kiguli J, Pariyo GW, Waiswa P, et al. (2010) Community acceptability of use of rapid diagnostic tests for malaria by community health workers in Uganda. Malar J 9: 203. pmid:20626863
  63. 63. Mace CR, Ryan US (2012) A Unique Approach to Business Strategy as a Means to Enable Change in Global Healthcare: A Case Study. Clin Chem 58: 1302–1305. pmid:22532595
  64. 64. Caldwell BA, Young A, Gomez-Marquez J, Olson KR Leaping over the gap with collaborative invention. IEEE Pulse. https://iihlab.wordpress.com/2011/08/03/global-health-technology-2-0-leaping-over-the-gap-with-collaborative-invention/ (acessed Feb 3, 2015).
  65. 65. MGH Centre for Global Health. http://massgeneralcenterforglobalhealth.org/resources/grants-funding (acessed on Feb 3, 2015).
  66. 66. Dentico N, Ford N (2005) The courage to change the rules: A proposal for an essential health R & D treaty. PLoS Med 2: 96–99.
  67. 67. Kiddell-Monroe R, Iversen JH, Gopinathan U (2013) Medical R&D Convention Derailed: Implications for the Global Health System. J Health Diplomacy jhttp://www.ghd-net.org/abstracts/volume-1/2 (acessed on Feb 3, 2015).
  68. 68. Girosi F, Olmsted SS, Keeler E, Hay Burgess DC, Lim Y-W, et al. (2006) Developing and interpreting models to improve diagnostics in developing countries. Nature 444 Suppl 1: 3–8. pmid:17159889
  69. 69. Newton PN, Green MD, Fernandez FM (2010) Impact of poor-quality medicines in the 'developing' world. Trends Pharmacol Sci 31: 99–101. pmid:20117849
  70. 70. Peeling RW, Mabey D (2010) Point-of-care tests for diagnosing infections in the developing world. Clin Microbiol Infect 16: 1062–1069. pmid:20670288
  71. 71. (2012) Innovation in Africa: Upwardly mobile-Kenya’s technology start-up scene is about to take off. The Economist. http://www.economist.com/node/21560912 (acessed Feb 3, 2015).
  72. 72. Collins FS (2011) Reengineering Translational Science: The Time Is Right. Sci Transl Med 3: 90cm17.