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医疗机构的诊断评估作为设计巴西远程医疗服务成熟度模型的基础。

Diagnostic evaluation of institutions as a basis for designing the Brazilian maturity model of telehealth services.

机构信息

Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.

Federal University of São Paulo, São Paulo, Brazil.

出版信息

BMC Health Serv Res. 2024 Mar 25;24(1):372. doi: 10.1186/s12913-024-10723-8.

DOI:10.1186/s12913-024-10723-8
PMID:38528485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10964504/
Abstract

BACKGROUND

The number and specificities of telehealth service units that expanded their services and diversified with the COVID-19 pandemic in Brazil need to be discovered. The objective of this manuscript is to present a methodology for the diagnostic evaluation of 19 telehealth units from different regions of the country for federal governmental decision-making.

METHODS

A cross-sectional quantitative and qualitative study was carried out in the form of a census based on administrative records with an online survey and in-depth interviews with local telehealth managers.

RESULTS

Despite the discontinuity of regular funding, the results point to a diversity of initiatives and advances. Citizenship, sustainability, security, and budget management are recurring themes in the maturity analysis of telehealth services after the advent of the pandemic.

CONCLUSION

It is necessary for Brazil to build a resilient model of the maturity of telehealth services that contemplates the different regional scenarios.

摘要

背景

需要发现巴西在 COVID-19 大流行期间扩大服务范围并实现多元化的远程医疗服务单位的数量和特点。本文的目的是为来自该国不同地区的 19 个远程医疗单位提供一种针对联邦政府决策的诊断评估方法。

方法

这是一项基于行政记录的横断面定量和定性研究,采用普查形式,包括在线调查和对当地远程医疗管理人员的深入访谈。

结果

尽管常规资金不断中断,但结果表明存在各种举措和进展。在大流行之后,远程医疗服务的成熟度分析中,公民身份、可持续性、安全性和预算管理是反复出现的主题。

结论

巴西有必要建立一个有弹性的远程医疗服务成熟度模式,考虑到不同的区域情景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/33b2878e1c69/12913_2024_10723_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/6bc07316bbfd/12913_2024_10723_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/7783a3d9fdaa/12913_2024_10723_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/9e4e54181725/12913_2024_10723_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/33b2878e1c69/12913_2024_10723_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/6bc07316bbfd/12913_2024_10723_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/7783a3d9fdaa/12913_2024_10723_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/9e4e54181725/12913_2024_10723_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b84/10964504/33b2878e1c69/12913_2024_10723_Fig4_HTML.jpg

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