Digital point-of-care tests may help clinicians make decisions about fever and strengthen disease surveillance. But a review of evidence from African health systems suggests that whether these tools become part of routine care depends on more than the tests themselves: staff, infrastructure, policies and data systems all need to work together.
The realist review, led by Shola Molemodile Dele-Olowu and published in PLOS Digital Health, examined 17 studies from multiple African countries. It asked how and under what conditions digital point-of-care diagnostics for febrile illness are integrated into health systems, or fall out of use. A realist review synthesizes evidence to explain how context shapes outcomes; it does not test a technology’s effectiveness in a new trial.
The authors identified five interacting conditions that can support or undermine integration: whether devices are easy to use and fit clinical workflows; whether health workers have the skills and confidence to use them; whether electricity, connectivity and maintenance are reliable; whether policy, financing and procurement support continued use; and whether the data produced can inform decisions.
When those conditions align, the review found, staff are more likely to see the tools as useful and trustworthy and to incorporate them into routine care. Digital results may also help guide supply management and disease surveillance when systems can turn data into timely action. These are patterns synthesized from the included literature, not a guarantee that every technology or facility will achieve those outcomes.
The reverse pattern also appeared. Devices that add steps or workload, unreliable power or internet, interrupted supplies, or data that no one can interpret or act on can frustrate users and weaken trust. In some studies, those problems were linked to non-use or a return to paper-based or presumptive practices. Training and supervision could build confidence, the authors report, but heavy workloads and staff shortages sometimes limited the benefit.
This emphasis on the surrounding system helps explain why a technically capable diagnostic device may not be enough. A test result has limited practical value if staff cannot use it within their workflow, supplies are unavailable, or the information does not reach people able to respond. The review therefore treats readiness as a changing condition shaped by interactions among technology, organizations and people, rather than as a fixed checklist or a property of the device alone.
The evidence base also sets limits on what can be concluded. The review included varied study designs, and five of the 17 studies were conducted in South Africa. The authors say this concentration may tilt the findings toward settings with relatively stronger infrastructure and digital capacity. Because the review aimed for theoretical transferability rather than representativeness, its framework should not be read as a measure of readiness in every country or facility.
The literature was also weighted toward routine point-of-care tests and broader digital diagnostic programs. Only one included study addressed advanced molecular or lab-on-chip technology, and only two explicitly focused on malaria rapid diagnostic tests. The authors say evidence on newer digital molecular diagnostics in African health systems remains scarce. They also report that financing and long-term sustainability were not thoroughly explored.
The authors call for prospective research to test the proposed pathways across diverse settings, and for longitudinal studies of maintenance, supply chains, quality assurance, supervision and data governance. Further work could also assess whether digital diagnostics narrow or widen access gaps, particularly for underserved rural communities, and how financing affects their sustainability.
The review offers a framework for asking why similar digital diagnostic tools may be adopted in one setting but not another. Its central message is that sustained use depends on whether health systems can support, trust and act on the technology over time.
<a href="https://journals.plos.org/digitalhealth/article?id=10.1371%2Fjournal.pdig.0001820">Source: PLOS Digital Health article</a>