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Overcoming the Maternal Care Crisis: How Can Lessons Learnt in Global Health Informatics Address US Maternal Health Outcomes?
Kasthurirathne, Suranga N; Mamlin, Burke W; Purkayastha, Saptarshi; Cullen, Theresa.
Afiliação
  • Kasthurirathne SN; Indiana University School of Informatics and Computing, Indianapolis, IN.
  • Mamlin BW; Indiana University School of Medicine, Indianapolis, IN.
  • Purkayastha S; Regenstrief Institute, Center for Biomedical Informatics, Indianapolis, IN.
  • Cullen T; Indiana University School of Informatics and Computing, Indianapolis, IN.
AMIA Annu Symp Proc ; 2017: 1034-1043, 2017.
Article em En | MEDLINE | ID: mdl-29854171
ABSTRACT
Despite unprecedented spending, US maternal outcomes have worsened drastically over the past decade. In comparison, maternal outcomes of many Low and Middle-Income Countries (LMIC) have improved. Lessons learnt by their success may be applicable to the US. We performed a literature review to identify innovations that had met with success across LMIC, and should be considered for adoption in the US. mHealth and patient facing alerts, Telehealth, patient controlled health records, inclusion of patient relationship data in health information systems and positioning empowered community health workers as catalysts of maternal care delivery were identified as innovations worthy of further evaluation. These innovations were categorized into several themes; knowledge, technology, patient/community empowerment, coordination and process change. Tools that place informed and empowered patients and community members at the center of maternal care has greatly improved maternal outcomes, and are suitable to be considered for the US healthcare system.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Sistemas de Informação em Saúde / Saúde Materna / Serviços de Saúde Materna Tipo de estudo: Prognostic_studies Limite: Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Sistemas de Informação em Saúde / Saúde Materna / Serviços de Saúde Materna Tipo de estudo: Prognostic_studies Limite: Female / Humans / Pregnancy País/Região como assunto: America do norte Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Índia