27
views
0
recommends
+1 Recommend
3 collections
    0
    shares

      To submit to this journal, please click here

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Community-friendly diagnostics: Who are tests for?

      other
      1 , * , , 2
      ,
      PLOS Global Public Health
      Public Library of Science

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          While vaccine inequity during the COVID-19 pandemic received widespread attention, less attention has been paid to testing inequities during the pandemic. The pandemic saw deployment of both PCR and rapid testing programs that were not accessible for communities in many low-income countries, especially the African region. For example, in Nigeria, Africa’s most populous country with 200 million people, only 3 million tests had been carried out by November 2021 [1]. During the first wave of COVID-19 infections In the Democratic Republic of Congo (DRC), only 0.3 tests per 10,000 people were being carried out in contrast with the minimum recommended amount of 10 tests per 10,000 people [2]. Even before the pandemic, the Lancet Commission on Diagnostics estimated that nearly half the world’s population has little to no access to diagnostics [3]. What obstacles exist for communities trying to access testing? In Somalia, for example, where 25–30% of the population are nomadic, PCR tests were often rolled out knowing that no address could be registered for many people and that results would not be able to be returned to them [4]. In the Nyiragongo health zone in North Kivu, Democratic Republic of the Congo, amidst challenging environments with the M23 rebellion and high levels of internal displacement, samples needed to be sent 19 kilometers south to Goma for analysis, and results would often come back two weeks after the patient had already been discharged [4]. These delayed turnaround times were attributed to PCR analysis for COVID-19 only provided by a few laboratories in cities [2]. In Uganda, an assessment conducted among fishing communities and people with disabilities showed that COVID-19 information was often disseminated in English rather than in local languages such as Luganda and Swahili–meaning communities were often left out [5]. The same assessment showed insufficient health workers to meet demand, long lines and waiting times, and poor roads, long distances, or expensive transport costs that represented significant barriers to care [5]. People with disabilities and mobility challenges were unable to travel to get PCR testing or subsequent treatment services [5]. Research shows that over 1.3 million tests were conducted between March 2020 and June 2021 in Uganda for a population of 47.7 million [6]. According to officials, detected cases were likely only 10–15% of the true number of COVID-19 infections, signifying that there was undertesting [7]. An assessment in Madagascar focusing on access to ten essential diagnostics for primary care settings found that individuals often had to travel an average of 5.5 kilometres by foot and by bus to access a testing facility [8]. Given that the average cost of a bus ride constitutes 42% of an individual’s daily income, this presents significant financial barriers to care [9]. There is also poor road infrastructure, so many had to travel by foot through rice fields and uneven terrain to get to healthcare centres [9]. This leads to questions of: Who are tests for? Are they predominantly for governments to ascertain how quickly a pathogen is spreading? Or are they predominantly so that communities can know their status? How can we work to ensure that both objectives are achieved but that we prioritise the right of people to know their status–and seek subsequent treatment services as they are needed? How do we create community-friendly diagnostics services? How can we listen to what communities have reported, such as in the assessments described above, and adapt testing and treatment services to meet people where they are? How can we transform diagnostics to truly serve the needs of the people that need them the most? Fig 1 below offers an illustration of how we can better service communities and what best practice could look like. 10.1371/journal.pgph.0002915.g001 Fig 1 Factors to consider in the design of community-friendly diagnostics programmes. Incorporating a intersectional equity lens at the outset of diagnostics plans There are countless other examples of communities that we have not included here–but what this diagram illustrates is that for the right to health vis-à-vis diagnostics to be truly fulfilled, we need three core components guiding diagnostics deployment: A meaningful understanding of communities, including their strengths and routines, their challenges and vulnerabilities, and what their preferred access routes (or care seeking patterns) are. Pragmatism in response/diagnostics teams. If PCR facilities in their current locations won’t help increase access–be pragmatic and innovative. That the right to know one’s status is equally if not more important than the desire of governments to conduct surveillance or impose public health measures such as quarantine. Global policy factors also influence access to diagnostics for communities. For example, UNICEF and Global Fund required WHO guidance to procure COVID-19 self-tests for deployment. Unfortunately, the issuance of self-testing guidelines were delayed to March 2023, beyond the acute phase of the pandemic, because of an assumption that self-tests would not lead to individuals ‘linking to public health action’, i.e., either seeking treatment or self-isolation [10]. While self-testing options were rolled out quickly in high-income countries, access to self-testing for LMICs was stymied in part by these delays. As a result, large procurers were not able to deploy self-tests until it was too late–despite strong research showing high acceptability of self-tests for COVID-19 in multiple African countries [11]. Intellectual property (IP) policies also affect community accessibility to diagnostics. For example, GeneXpert machines are well-distributed within countries due to their use in TB programmes, however IP policies and long patents result in very expensive cartridges and reagents. Local, less expensive production of these diagnostic tools, which would go a long way towards increasing community-level accessibility, is currently prevented by IP protections [12]. Community-friendly diagnostics policies in future pandemics therefore will need to be supported by more agile, regional mechanisms and guidelines rather than waiting for inefficient and maladapted processes at the global level. LMICs will need to take responsibility for the health of their citizens and not be overdependent on systems that may not be available during a pandemic [13]. Agile decision-making mechanisms by Ministries of Health in the absence of WHO normative guidance is necessary. LMICs, especially the Africa region, must also invest in regional manufacturing of diagnostics, to reduce excessive reliance on imported and expensive products. A report from the International Pandemic Preparedness Secretariat and FIND emphasised the right of individuals to know their status [14]. The report further emphasises that as regards self-testing, this need not be isolated from wider systems–and could be linked to digital technologies to ensure better linkage to clinical care [15] and could be well-integrated into community systems. The successful roll-out of HIV self-testing in the African region clearly demonstrates the value of expanding self-testing to other conditions [15, 16]. These examples and more highlight how we need to do so much more to ensure that diagnostics are community friendly. With a little dose of pragmatism, emphasis on the right to know one’s status and a reminder of who these tests are for, as well as a genuine effort to understand the communities we are serving, we can design diagnostics systems that are truly community friendly and are aimed towards equity.

          Related collections

          Most cited references11

          • Record: found
          • Abstract: not found
          • Article: not found

          The Lancet Commission on diagnostics: transforming access to diagnostics

            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Availability of essential diagnostics in ten low-income and middle-income countries: results from national health facility surveys

            Background Pathology and laboratory medicine diagnostics and diagnostic imaging are crucial to achieving universal health coverage. We analysed Service Provision Assessments (SPAs) from ten low-income and middle-income countries to benchmark diagnostic availability. Methods Diagnostic availabilities were determined for Bangladesh, Haiti, Malawi, Namibia, Nepal, Kenya, Rwanda, Senegal, Tanzania, and Uganda, with multiple timepoints for Haiti, Kenya, Senegal, and Tanzania. A smaller set of diagnostics were included in the analysis for primary care facilities compared with those expected at hospitals, with 16 evaluated in total. Surveys spanned 2004–18, including 8512 surveyed facilities. Country-specific facility types were mapped to basic primary care, advanced primary care, or hospital tiers. We calculated percentages of facilities offering each diagnostic, accounting for facility weights, stratifying by tier, and for some analyses, region. The tier-level estimate of diagnostic availability was defined as the median of all diagnostic-specific availabilities at each tier, and country-level estimates were the median of all diagnostic-specific availabilities of each of the tiers. Associations of country-level diagnostic availability with country income as well as (within-country) region-level availability with region-specific population densities were determined by multivariable linear regression, controlling for appropriate covariates including tier. Findings Median availability of diagnostics was 19·1% in basic primary care facilities, 49·2% in advanced primary care facilities, and 68·4% in hospitals. Availability varied considerably between diagnostics, ranging from 1·2% (ultrasound) to 76·7% (malaria) in primary care (basic and advanced) and from 6·1% (CT scan) to 91·6% (malaria) in hospitals. Availability also varied between countries, from 14·9% (Bangladesh) to 89·6% (Namibia). Availability correlated positively with log(income) at both primary care tiers but not the hospital tier, and positively with region-specific population density at the basic primary care tier only. Interpretation Major gaps in diagnostic availability exist in many low-income and middle-income countries, particularly in primary care facilities. These results can serve as a benchmark to gauge progress towards implementing guidelines such as the WHO Essential Diagnostics List and Priority Medical Devices initiatives. Funding Bill & Melinda Gates Foundation.
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Impact of a personalised, digital, HIV self-testing app-based program on linkages and new infections in the township populations of South Africa

              Introduction Implementation data for digital unsupervised HIV self-testing (HIVST) are sparse. We evaluated the impact of an app-based, personalised, oral HIVST program offered by healthcare workers in Western Cape, South Africa. Methods In a quasirandomised study (n=3095), we recruited consenting adults with undiagnosed HIV infection from township clinics. To the HIVST arm participants (n=1535), we offered a choice of an offsite (home, office or kiosk based), unsupervised digital HIVST program (n=962), or an onsite, clinic-based, supervised digital HIVST program (n=573) with 24/7 linkages services. With propensity score analyses, we compared outcomes (ie, linkages, new HIV infections and test referrals) with conventional HIV testing (ConvHT) arm participants (n=1560), recruited randomly from geographically separated clinics. Results In both arms, participants were young (HIVST vs ConvHT) (mean age: 28.2 years vs 29.2 years), female (65.0% vs 76.0%) and had monthly income <3000 rand (80.8% vs 75%). Participants chose unsupervised HIVST (62.7%) versus supervised HIVST and reported multiple sex partners (10.88% vs 8.7%), exposure to sex workers (1.4% vs 0.2%) and fewer comorbidities (0.9% vs 1.9%). Almost all HIVST participants were linked (unsupervised HIVST (99.7%), supervised HIVST (99.8%) vs ConvHT (98.5%)) (adj RR 1.012; 95% CI 1.005 to 1.018) with new HIV infections: overall HIVST (9%); supervised HIVST (10.9%) and unsupervised HIVST (7.6%) versus ConvHT (6.79%) (adj RR 1.305; 95% CI 1.023 to 1.665); test referrals: 16.7% HIVST versus 3.1% ConvHT (adj RR 5.435; 95% CI 4.024 to 7.340). Conclusions Our flexible, personalised, app-based HIVST program, offered by healthcare workers, successfully linked almost all HIV self-testers, detected new infections and increased referrals to self-test. Data are relevant for digital HIVST initiatives worldwide.

                Author and article information

                Contributors
                Role: Writing – original draftRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Editor
                Role: Editor
                Journal
                PLOS Glob Public Health
                PLOS Glob Public Health
                plos
                PLOS Global Public Health
                Public Library of Science (San Francisco, CA USA )
                2767-3375
                11 March 2024
                2024
                : 4
                : 3
                : e0002915
                Affiliations
                [1 ] Matahari Global Solutions, Kuala Lumpur, Malaysia
                [2 ] Afrocab Treatment Access Partnership, Lusaka, Zambia
                PLOS: Public Library of Science, UNITED STATES
                McGill University, CANADA
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9264-7834
                Article
                PGPH-D-23-02573
                10.1371/journal.pgph.0002915
                10927070
                38466650
                a0d73df5-9987-4fb0-8e32-574d2d50675c
                © 2024 A. Rahman, Sikwese

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Page count
                Figures: 1, Tables: 0, Pages: 4
                Funding
                The authors received no specific funding for this work.
                Categories
                Opinion
                Medicine and Health Sciences
                Diagnostic Medicine
                Virus Testing
                Medicine and Health Sciences
                Epidemiology
                Pandemics
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                Social Sciences
                Economics
                Economic Geography
                Low and Middle Income Countries
                Earth Sciences
                Geography
                Economic Geography
                Low and Middle Income Countries
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Roads
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Roads
                Medicine and Health Sciences
                Public and Occupational Health
                Medicine and Health Sciences
                Medical Conditions
                Disabilities
                People and Places
                Geographical Locations
                Africa

                Comments

                Comment on this article

                Related Documents Log