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Tanzania's and Germany's Digital Health Strategies and Their Consistency With the World Health Organization's Global Strategy on Digital Health 2020-2025: Comparative Policy Analysis.
Holl, Felix; Kircher, Jennifer; Hertelendy, Attila J; Sukums, Felix; Swoboda, Walter.
Afiliação
  • Holl F; DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
  • Kircher J; DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
  • Hertelendy AJ; Department of Information Systems and Business Analytics, College of Business, Florida International University, Miami, FL, United States.
  • Sukums F; MUHAS Digital Health and Innovation Research Group, Muhimbili University of Health & Allied Sciences, Dar es Salaam, United Republic of Tanzania.
  • Swoboda W; DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany.
J Med Internet Res ; 26: e52150, 2024 Mar 18.
Article em En | MEDLINE | ID: mdl-38498021
ABSTRACT

BACKGROUND:

In recent years, the fast-paced adoption of digital health (DH) technologies has transformed health care delivery. However, this rapid evolution has also led to challenges such as uncoordinated development and information silos, impeding effective health care integration. Recognizing these challenges, nations have developed digital health strategies (DHSs), aligning with their national health priorities and guidance from global frameworks. The World Health Organization (WHO)'s Global Strategy on Digital Health 2020-2025 (GSDH) guides national DHSs.

OBJECTIVE:

This study analyzes the DHSs of Tanzania and Germany as case studies and assesses their alignment with the GSDH and identifies strengths, shortcomings, and areas for improvement.

METHODS:

A comparative policy analysis was conducted, focusing on the DHSs of Tanzania and Germany as case studies, selected for their contrasting health care systems and cooperative history. The analysis involved a three-step process (1) assessing consistency with the GSDH, (2) comparing similarities and differences, and (3) evaluating the incorporation of emergent technologies. Primary data sources included national eHealth policy documents and related legislation.

RESULTS:

Both Germany's and Tanzania's DHSs align significantly with the WHO's GSDH, incorporating most of its 35 elements, but each missing 5 distinct elements. Specifically, Tanzania's DHS lacks in areas such as knowledge management and capacity building for leaders, while Germany's strategy falls short in engaging health care service providers and beneficiaries in development phases and promoting health equity. Both countries, however, excel in other aspects like collaboration, knowledge transfer, and advancing national DHSs, reflecting their commitment to enhancing DH infrastructures. The high ratings of both countries on the Global Digital Health Monitor underscore their substantial progress in DH, although challenges persist in adopting the rapidly advancing technologies and in the need for more inclusive and comprehensive strategies.

CONCLUSIONS:

This study reveals that both Tanzania and Germany have made significant strides in aligning their DHSs with the WHO's GSDH. However, the rapid evolution of technologies like artificial intelligence and machine learning presents challenges in keeping strategies up-to-date. This study recommends the development of more comprehensive, inclusive strategies and regular revisions to align with emerging technologies and needs. The research underscores the importance of context-specific adaptations in DHSs and highlights the need for broader, strategic guidelines to direct the future development of the DH ecosystem. The WHO's GSDH serves as a crucial blueprint for national DHSs. This comparative analysis demonstrates the value and challenges of aligning national strategies with global guidelines. Both Tanzania and Germany offer valuable insights into developing and implementing effective DHSs, highlighting the importance of continuous adaptation and context-specific considerations. Future policy assessments require in-depth knowledge of the country's health care needs and structure, supplemented by stakeholder input for a comprehensive evaluation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Saúde Digital Limite: Humans País/Região como assunto: Africa / Europa Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Saúde Digital Limite: Humans País/Região como assunto: Africa / Europa Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha