Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/3151
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dc.contributor.author'Meara, Wendy Prudhomme O-
dc.contributor.authorMakena, judith Nekesa-
dc.contributor.authorStekete, Rickee,-
dc.contributor.authorGreenWood, Brian-
dc.date.accessioned2020-07-28T08:09:56Z-
dc.date.available2020-07-28T08:09:56Z-
dc.date.issued2010-07-
dc.identifier.urihttps://doi.org/10.1016/S1473-3099(10)70096-7-
dc.identifier.urihttp://ir.mu.ac.ke:8080/jspui/handle/123456789/3151-
dc.description.abstractWe implemented computer-based reminders for CD4 count tests at an HIV clinic in Western Kenya though an open-source Electronic Medical Record System. Within a month, providers had stopped complying with the reminders. We used a multi-method qualitative approach to determine reasons for failure to adhere to the reminders, and took multiple corrective actions to remedy the situation. Major reasons for failure of the reminder system included: not considering delayed data entry and pending test results; relying on wrong data inadvertently entered into the system; inadequate training of providers who would sometimes disagree with the reminder suggestions; and resource issues making generation of reminders unreliable. With appropriate corrective actions, the reminder system has now been functional for over eight months. Implementing clinical decision support in resource-limited settings is challenging. Understanding and correcting root causes of problems related to reminders will facilitate successful implementation of the decision support systems in these settings.en_US
dc.language.isoenen_US
dc.publisherAmpathen_US
dc.subjectmalariaen_US
dc.subjectChangesen_US
dc.titleChanges in the burden of malaria in sub-Saharan Africaen_US
dc.typeArticleen_US
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