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强化印度各级医疗保健机构基于设施的综合急诊护理服务,应对时间敏感的紧急情况:一项实施研究方案。

Strengthening facility-based integrated emergency care services for time sensitive emergencies at all levels of healthcare in India: An implementation research study protocol.

机构信息

Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.

Division of NCD, ICMR, New Delhi, India.

出版信息

Health Res Policy Syst. 2024 Sep 9;22(1):125. doi: 10.1186/s12961-024-01183-x.

DOI:10.1186/s12961-024-01183-x
PMID:39252001
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11382461/
Abstract

BACKGROUND

The healthcare system in India is tiered and has primary, secondary and tertiary levels of facilities depending on the complexity and severity of health challenges at these facilities. Evidence suggests that emergency services in the country is fragmented. This study aims to identify the barriers and facilitators of emergency care delivery for patients with time-sensitive conditions, and develop and implement a contextually relevant model, and measure its impact using implementation research outcomes.

METHODS

We will study 85 healthcare facilities across five zones of the country and focus on emergency care delivery for 11 time-sensitive conditions. This implementation research will include seven phases: the preparatory phase, formative assessment, co-design of Model "Zero", co-implementation, model optimization, end-line evaluation and consolidation phase. The "preparatory phase" will involve stakeholder meetings, approval from health authorities and the establishment of a research ecosystem. The "formative assessment" will include quantitative and qualitative evaluations of the existing healthcare facilities and personnel to identify gaps, barriers and facilitators of emergency care services for time-sensitive conditions. On the basis of the results of the formative assessment, context-specific implementation strategies will be developed through meetings with stakeholders, providers and experts. The "co-design of Model 'Zero'" phase will help develop the initial Model "Zero", which will be pilot tested on a small scale (co-implementation). In the "model optimization" phase, iterative feedback loops of meetings and testing various strategies will help develop and implement the final context-specific model. End-line evaluation will assess implementation research outcomes such as acceptability, adoption, fidelity and penetration. The consolidation phase will include planning for the sustenance of the interventions.

DISCUSSION

In a country such as India, where resources are scarce, this study will identify the barriers and facilitators to delivering emergency care services for time-sensitive conditions across five varied zones of the country. Stakeholder and provider participation in developing consensus-based implementation strategies, along with iterative cycles of meetings and testing, will help adapt these strategies to local needs. This approach will ensure that the developed models are practical, feasible and tailored to the specific challenges and requirements of each region.

摘要

背景

印度的医疗体系分为初级、中级和高级三个层次,根据这些设施所面临的健康挑战的复杂性和严重程度而定。有证据表明,该国的急救服务较为分散。本研究旨在确定为有时间限制的疾病患者提供急救服务的障碍和促进因素,并制定和实施一个具有上下文相关性的模型,并使用实施研究结果来衡量其影响。

方法

我们将在全国五个地区的 85 个医疗设施中进行研究,并重点关注 11 种有时间限制的疾病的急救服务。这项实施研究将包括七个阶段:准备阶段、形成性评估、模型“零”的共同设计、共同实施、模型优化、终端评估和巩固阶段。“准备阶段”将包括利益相关者会议、卫生当局的批准和研究生态系统的建立。“形成性评估”将包括对现有医疗设施和人员的定量和定性评估,以确定为有时间限制的疾病提供急救服务的差距、障碍和促进因素。根据形成性评估的结果,将通过与利益相关者、提供者和专家的会议制定具体情况的实施策略。“模型‘零’的共同设计”阶段将有助于开发初始模型“零”,并将在小规模上进行试点测试(共同实施)。在“模型优化”阶段,会议和测试各种策略的迭代反馈循环将有助于开发和实施最终的具体情况模型。终端评估将评估实施研究的结果,如可接受性、采用、保真度和渗透度。巩固阶段将包括维持干预措施的规划。

讨论

在印度这样一个资源匮乏的国家,本研究将确定在全国五个不同地区为有时间限制的疾病提供急救服务的障碍和促进因素。利益相关者和提供者参与制定基于共识的实施策略,以及会议和测试的迭代循环,将有助于使这些策略适应当地的需求。这种方法将确保开发的模型具有实用性、可行性,并针对每个地区的具体挑战和需求进行调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/12c4ff05921a/12961_2024_1183_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/8d1ac12bf426/12961_2024_1183_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/abaeac4108c1/12961_2024_1183_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/12c4ff05921a/12961_2024_1183_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/8d1ac12bf426/12961_2024_1183_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/abaeac4108c1/12961_2024_1183_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1da2/11382461/12c4ff05921a/12961_2024_1183_Fig3_HTML.jpg

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