Background: The Ministry of Health in Sierra Leone has developed and operationalized the national Digital Health Strategy to guide integrated roll out of e-health/mobile health solutions. The goal is that "by 2023 an effective and efficient ICT enabled system supports delivery of quality, accessible, affordable, equitable, and timely healthcare services and moves Sierra Leone closer to achieving universal health coverage". Investing in digital platforms for the education of community health workers (CHWs) in Sierra Leone is a critical strategic approach to strengthening the country's readiness for future Ebola outbreaks. A new national curriculum for this target group is being implemented that is based upon classroom training approaches. In a country where many CHWs are remotely located, the use of technology can be an enabler to reach such individuals with key training content to repeat the most important messages. Here we describe the piloting of a mobile training and support (MOTS) service for CHWs using interactive voice response (IVR) technology in Bo district of Sierra Leone. This training platform delivers voice recorded training content in local languages on the topics of Vaccines and (Ebola) Disease Surveillance & Outbreak Response. Methods: MOTS was developed in collaboration with the Sierra Leone Ministry of Health & Sanitation. Training content was customized in line with the national training curriculum and case reporting requirements. Local ethical approval was achieved and a test protocol involving recruitment of 125 consenting CHWs was implemented in Bo district of Sierra Leone. Two training modules-one covering vaccination and one covering outbreak response and disease surveillance were delivered to the mobile phones of participants as audio messages in the preferred local language. Knowledge change was assessed largely through pre-and post-quiz assessments also implemented through IVR. Results: Knowledge acquisition was observed in the 123 CHWs completing this pilot assessment. The extent of knowledge acquired was higher with the Vaccine training module when compared to the (Ebola) Disease Surveillance & Outbreak Response module. The technology was readily accepted by this population and their engagement was such that they also provided important elements to be improved prior to further implementation. The order in which training modules are delivered as well as general fatigue of the IVR methodology for participating in the quiz assessments may be of importance and requires further investigation. Conclusions: Technology should be considered when planning delivery of training to CHWs and can be positioned as a vehicle by which repetitive aspects of important training content can be reinforced without the need for additional classroom presence of the CHW community. Sustainability of such solutions requires cost containment and subsequent software accessibility for authorities in resource limited settings.
Objectives: A wide array of monitoring tests is commercially available to gauge HIV-1 disease progression and the overall health status of an HIV-1-infected patient. Viral load tests provide a picture of viral activity, while CD4 cell counts shed light on the immune status and can help physicians to prevent the development of opportunistic infections in patients. On the other hand, genotypic and phenotypic resistance testing and therapeutic drug monitoring help to optimize HIV-1 antiretroviral therapy. Resistance testing is currently recommended within the standard of care guidelines to aid the choice of new drug regimens following treatment failure(s). Methods: Genotypic testing described here is based on the amplification and sequencing of an HIV-1 protease (PR) and reverse transcriptase (RT) region from a patient sample to identify resistance mutations associated with PR and RT inhibitor resistance. A genotypic test takes a week to perform and the results are reported as a list of detected mutations. The virco®TYPE HIV-1 report uses genotypic data to predict phenotypic susceptibility by linear regression modeling that uses a large correlative database of genotype-phenotype pairs. Phenotypic testing measures the ability of the virus to replicate in the presence of a drug and provides a direct measurement of drug susceptibility in vitro. Since phenotypic analysis is laborious and time consuming (28 days), genotypic resistance testing is currently the standard reference method used for HIV-1 resistance testing. However, a phenotypic test is important when a patient harbors virus with complex genetic patterns, or when the mutational resistance profile for a particular drug is not well-characterized. Results and Conclusions: Some of the currently used resistance tests are partially automated enabling laboratories to increase overall efficiency. However, maximum automation and standardization of the process, instruments and software that we have described here can overcome many of the problems encountered with current tests and aims at having a compliant, high-throughput, diagnostic laboratory, which can guarantee sample integrity from sample reception to result reporting. We also describe in detail the development and performance of virco®TYPE HIV-1 (genotype) and Antivirogram® (phenotype) assay on PR and RT genes to evaluate antiretroviral resistance.
Background A partnership between the University of Antwerp and the University of Kinshasa implemented the EBOVAC3 clinical trial with an Ebola vaccine regimen administered to health care provider participants in Tshuapa Province, Democratic Republic of the Congo. This randomized controlled trial was part of an Ebola outbreak preparedness initiative financed through Innovative Medicines Initiative-European Union. The EBOVAC3 clinical trial used iris scan technology to identify all health care provider participants enrolled in the vaccine trial, to ensure that the right participant received the right vaccine at the right visit. Objective We aimed to assess the acceptability, accuracy, and feasibility of iris scan technology as an identification method within a population of health care provider participants in a vaccine trial in a remote setting. Methods We used a mixed methods study. The acceptability was assessed prior to the trial through 12 focus group discussions (FGDs) and was assessed at enrollment. Feasibility and accuracy research was conducted using a longitudinal trial study design, where iris scanning was compared with the unique study ID card to identify health care provider participants at enrollment and at their follow-up visits. Results During the FGDs, health care provider participants were mainly concerned about the iris scan technology causing physical problems to their eyes or exposing them to spiritual problems through sorcery. However, 99% (85/86; 95% CI 97.1-100.0) of health care provider participants in the FGDs agreed to be identified by the iris scan. Also, at enrollment, 99.0% (692/699; 95% CI 98.2-99.7) of health care provider participants accepted to be identified by iris scan. Iris scan technology correctly identified 93.1% (636/683; 95% CI 91.2-95.0) of the participants returning for scheduled follow-up visits. The iris scanning operation lasted 2 minutes or less for 96.0% (656/683; 95% CI 94.6-97.5), and 1 attempt was enough to identify the majority of study participants (475/683, 69.5%; 95% CI 66.1-73.0). Conclusions Iris scans are highly acceptable as an identification tool in a clinical trial for health care provider participants in a remote setting. Its operationalization during the trial demonstrated a high level of accuracy that can reliably identify individuals. Iris scanning is found to be feasible in clinical trials but requires a trained operator to reduce the duration and the number of attempts to identify a participant. Trial Registration ClinicalTrials.gov NCT04186000; https://clinicaltrials.gov/ct2/show/NCT04186000
Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.
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