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A Pilot Study of Use of a Software Platform for the Collection, Integration, and Visualization of Diabetes Device Data by Health Care Providers in a Multidisciplinary Pediatric Setting.
Wong, Jenise C; Izadi, Zara; Schroeder, Shannon; Nader, Marie; Min, Jennifer; Neinstein, Aaron B; Adi, Saleh.
Afiliação
  • Wong JC; 1 Division of Endocrinology, Department of Pediatrics, The Madison Clinic for Pediatric Diabetes, University of California San Francisco , San Francisco, California.
  • Izadi Z; 1 Division of Endocrinology, Department of Pediatrics, The Madison Clinic for Pediatric Diabetes, University of California San Francisco , San Francisco, California.
  • Schroeder S; 1 Division of Endocrinology, Department of Pediatrics, The Madison Clinic for Pediatric Diabetes, University of California San Francisco , San Francisco, California.
  • Nader M; 1 Division of Endocrinology, Department of Pediatrics, The Madison Clinic for Pediatric Diabetes, University of California San Francisco , San Francisco, California.
  • Min J; 1 Division of Endocrinology, Department of Pediatrics, The Madison Clinic for Pediatric Diabetes, University of California San Francisco , San Francisco, California.
  • Neinstein AB; 2 Division of Endocrinology and Metabolism, Department of Medicine, Center for Digital Health Innovation, University of California San Francisco , San Francisco, California.
  • Adi S; 1 Division of Endocrinology, Department of Pediatrics, The Madison Clinic for Pediatric Diabetes, University of California San Francisco , San Francisco, California.
Diabetes Technol Ther ; 20(12): 806-816, 2018 12.
Article em En | MEDLINE | ID: mdl-30461307
ABSTRACT

BACKGROUND:

Diabetes devices provide data for health care providers (HCPs) and people with type 1 diabetes to make management decisions. Extracting and viewing the data require separate, proprietary software applications for each device. In this pilot study, we examined the feasibility of using a single software platform (Tidepool) that integrates data from multiple devices. MATERIALS AND

METHODS:

Participating HCPs (n = 15) used the software with compatible devices in all patient visits for 6 months. Samples of registration desk activity and office visits were observed before and after introducing the software, and HCPs provided feedback by survey and focus groups.

RESULTS:

The time required to upload data and the length of the office visit did not change. However, the number of times the HCP referred to the device data with patients increased from a mean of 2.8 (±1.2) to 6.1 (±3.1) times per visit (P = 0.0002). A significantly larger proportion of children looked at the device data with the new application (baseline 61% vs. study end 94%, P = 0.015). HCPs liked the web-based user interface, integration of the data from multiple devices, the ability to remotely access data, and use of the application to initiate patient education. Challenges included the need for automated data upload and integration with electronic medical records.

CONCLUSIONS:

The software did not add to the time needed to upload data or the length of clinic visits and promoted discussions with patients about data. Future studies of HCP use of the application will evaluate clinical outcomes and effects on patient engagement and self-management.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Técnicas de Apoio para a Decisão / Pessoal de Saúde / Integração de Sistemas / Diabetes Mellitus Tipo 1 Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Técnicas de Apoio para a Decisão / Pessoal de Saúde / Integração de Sistemas / Diabetes Mellitus Tipo 1 Idioma: En Ano de publicação: 2018 Tipo de documento: Article