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Barriers to the Digitization of Health Information: A Qualitative and Quantitative Study in Kenya and Lao PDR Using a Cloud-Based Maternal and Child Registration System.
Numair, Tarek; Harrell, Daniel Toshio; Huy, Nguyen Tien; Nishimoto, Futoshi; Muthiani, Yvonne; Nzou, Samson Muuo; Lasaphonh, Angkhana; Palama, Khomsonerasinh; Pongvongsa, Tiengkham; Moji, Kazuhiko; Hirayama, Kenji; Kaneko, Satoshi.
Afiliação
  • Numair T; Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan.
  • Harrell DT; Department of Ecoepidemiology, Institute of Tropical Medicine, Nagasaki University, Nagasaki 852-8523, Japan.
  • Huy NT; Department of Ecoepidemiology, Institute of Tropical Medicine, Nagasaki University, Nagasaki 852-8523, Japan.
  • Nishimoto F; Dell Medical School, The University of Texas in Austin, Austin, TX 78712, USA.
  • Muthiani Y; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan.
  • Nzou SM; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan.
  • Lasaphonh A; Nairobi Research Station, Nagasaki University-Institute of Tropical Medicine-Kenya Medical Research Institute (NUITM-KEMRI) Project, Nairobi 19993-00202, Kenya.
  • Palama K; Health Sciences Unit, Faculty of Social Sciences, Tampere University, 33014 Tampere, Finland.
  • Pongvongsa T; Nairobi Research Station, Nagasaki University-Institute of Tropical Medicine-Kenya Medical Research Institute (NUITM-KEMRI) Project, Nairobi 19993-00202, Kenya.
  • Moji K; Centre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi 54840-00200, Kenya.
  • Hirayama K; Savannakhet Provincial Health Department, Savannakhet 13000, Laos.
  • Kaneko S; Savannakhet Provincial Health Department, Savannakhet 13000, Laos.
Article em En | MEDLINE | ID: mdl-34201107

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Computação em Nuvem / Mães Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Child / Female / Humans País/Região como assunto: Africa / Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Computação em Nuvem / Mães Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Child / Female / Humans País/Região como assunto: Africa / Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article