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Designing a Dashboard for HIV-data Reporting Performance by Facilities: Case Study of Kenya.
Gesicho, Milka; Babic, Ankica.
Afiliação
  • Gesicho M; Department of Information Science and Media Studies, University of Bergen, Norway.
  • Babic A; Department of Information Science and Media Studies, University of Bergen, Norway.
Stud Health Technol Inform ; 295: 238-241, 2022 Jun 29.
Article em En | MEDLINE | ID: mdl-35773852
Health management information systems implemented in low-and middle-income countries (LMICs) have provided availability of HIV-data. As such, dashboards have become increasingly popular as they provide a potentially powerful avenue for deriving insights at glance. This promotes use of data for decision-making by various stakeholders such as Ministries of Health as well as international donor organizations. Nonetheless, despite the use of dashboards in LMICs, their potential may go unrealized with underutilization of good design principles. In various LMICs, health facilities are required to submit HIV-indicator data on time for its use in decision-making. Hence, dashboards can be utilized in assessing facility reporting performance overtime in order to identify where interventions are needed. In this study, we applied good design principles in developing a dashboard, which presents the performance of facilities in reporting HIV-indicator data overtime (2011-2018). Timeliness and completeness in reporting were used as performance indicators and were extracted from the District Health Information Software Version 2 (DHIS2) in Kenya. Results for the system usability scale used in evaluating the dashboard was 87, which meant the dashboard usability was good.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Infecções por HIV Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Noruega

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Infecções por HIV Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Noruega