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Background: In countries where malaria is endemic, the use of rapid diagnostic tests(RDTs) has become routine, especially in rural settings. Such regions are characterised by often having other co-endemic infectious diseases, at high levels of prevalence. Aim: To illustrate the potential added-value of "sentinel" screening for patients presenting for a routine diagnostic test for malaria, at healthcare facilities in Uganda. Methods: We developed an economic model by combining two decision trees, one for malaria and a second for the co-endemic disease schistosomiasis. The integrated model was designed to inform policy strategies for the co-endemic disease in addition to malaria (i.e., whether to test opportunistically for schistosomiasis or use mass drug administration(MDA) as per usual practice).We performed the analysis on three comparators varying testing accuracy and costs. Results: Sentinel screening can provide added value to the testing of patients compared with the status quo: when schistosomiasis prevalence is high then MDA is preferential; if low prevalence, treating no one is preferred. If the disease has average levels of prevalence, then a strategy involving testing is preferred. Prevalence thresholds driving the dominant strategy are dependent upon the model parameters, which are highly context specific. At average levels of prevalence for schistosomiasis and malaria for Uganda, adding a sentinel screening was cost-effective when the accuracy of test was higher than current diagnostics and when economies of scope were generated(Expected value clinical Information = 0.65$ per DALY averted, 137.91$ per correct diagnoses).Protocols using diagnostics with current accuracy levels were preferred only for levels of MDA coverage below 75%. Conclusion: The importance of the epidemiological setting is crucial in determining the best cost-effective strategy for detecting endemic disease. Economies of scope can make sentinel screenings cost-effective strategies in specific contexts. Blanket thresholds recommended for MDA may not always be the preferred option for endemic diseases. Author summary: Malaria tests are commonly the default assessment when febrile patients arrive at clinics in low- and middle-income countries. This is due to the high prevalence of the disease coupled with the increased reliability and affordability of rapid diagnostic tests. While malaria and other prevalent diseases have received great attention in terms of international investments and local efforts over the years, other endemic diseases do not receive the same consideration in terms of testing capacity and, consequently, correct treatment. This study aims to provide a model to inform policymakers on the costs and benefits of carrying out an opportunistic screening for one (or potentially more) of these neglected tropical diseases (NTD), performed at the same time as a malaria diagnosis for febrile patients presenting at clinics. To achieve this, we developed a model to evaluate different healthcare protocols detecting malaria and schistosomiasis simultaneously, with input values referring to Uganda, as a case study. Schistosomiasis is an NTD and the main treatment strategy in endemic populations is mass drug administration (MDA). This study shows the added value of sentinel screening during a malaria diagnosis varying the level of prevalence of both malaria and schistosomiasis. [ABSTRACT FROM AUTHOR]

Background: Despite its strong growth in many parts of the world, mobile health access is still limited in low- and middle-income countries. Among the many factors restricting implementation are the lack of information security, insufficient evidence base, low sensitization, and user acceptance. Limited evidence has been obtained on current practices, perceptions, and user acceptability in such settings. The aim of this study was therefore to evaluate the knowledge, attitude, and perceptions on mobile health use among health workers and veterinary officers in Uganda. Materials and Methods: A cross-section study was carried out, targeting health practitioners in both hospitals and veterinary laboratories/clinics. A structured questionnaire was used to collect data from the Central, Eastern, Northern, and Western representative regions. Interviews with selected health workers were also conducted as well as a focused group discussion. Results: Of the 120 health practitioners that were targeted, a total of 80 health workers and 7 veterinary practitioners participated in the study of which 46% were men and 54% women. Majority of the health workers had encountered m-health but had never used it, whereas the 15 practitioners who had used it before the survey did not use it for disease diagnosis in hospitals but used it for ordering medicine online, for patient consultations with the doctors, result interpretation, tracking women menstrual cycles, tuberculosis assessment. Discussion and Conclusion: Participants expressed significant interest in mobile health as it addresses key challenges including challenges with management of patient data, and long patient queues, which would ultimately improve service delivery. However, there is some skepticism about access as many rural facilities lack access to smartphones and stable internet. [ABSTRACT FROM AUTHOR]

Background: Despite its strong growth in many parts of the world, mobile health access is still limited in low- and middle-income countries. Among the many factors restricting implementation are the lack of information security, insufficient evidence base, low sensitization, and user acceptance. Limited evidence has been obtained on current practices, perceptions, and user acceptability in such settings. The aim of this study was therefore to evaluate the knowledge, attitude, and perceptions on mobile health use among health workers and veterinary officers in Uganda. Materials and Methods: A cross-section study was carried out, targeting health practitioners in both hospitals and veterinary laboratories/clinics. A structured questionnaire was used to collect data from the Central, Eastern, Northern, and Western representative regions. Interviews with selected health workers were also conducted as well as a focused group discussion. Results: Of the 120 health practitioners that were targeted, a total of 80 health workers and 7 veterinary practitioners participated in the study of which 46% were men and 54% women. Majority of the health workers had encountered m-health but had never used it, whereas the 15 practitioners who had used it before the survey did not use it for disease diagnosis in hospitals but used it for ordering medicine online, for patient consultations with the doctors, result interpretation, tracking women menstrual cycles, tuberculosis assessment. Discussion and Conclusion: Participants expressed significant interest in mobile health as it addresses key challenges including challenges with management of patient data, and long patient queues, which would ultimately improve service delivery. However, there is some skepticism about access as many rural facilities lack access to smartphones and stable internet.