Evidence map›Paper›PMID 39252001›Full record

ArticleHealth research policy and systems2024

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

Tej Prakash Sinha, Sanjeev Bhoi, Dolly Sharma, Sushmita Chauhan, Radhika Magan, Ankit Kumar Sahu, Stuti Bhargava, Patanjali Dev Nayar, Venkatnarayan Kannan, Rakesh Lodha and 13 more

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Article in Health research policy and systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

23 authors.

Tej Prakash SinhaDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sanjeev BhoiDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India. sanjeevbhoi@gmail.com.
Dolly SharmaDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Sushmita ChauhanDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Radhika MaganDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ankit Kumar SahuDepartment of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India.
Stuti BhargavaDivision of NCD, ICMR, New Delhi, India.
Patanjali Dev NayarWHO SEARO, New Delhi, India.
Venkatnarayan KannanOSD, Health, NITI Aayog, New Delhi, India.
Rakesh LodhaDepartment of Paediatrics, AIIMS, New Delhi, India.
Garima KacchawaDepartment of Gynaecology, AIIMS, New Delhi, India.
Narendra Kumar AroraINCLEN, New Delhi, India.
Moji JiniTomo Riba Institute of Health & Medical Sciences, Naharlagun, Arunachal Pradesh, India.
Pramod Kumar SinhaMedicine Department, Anugrah Narayan Magadh Medical College, Gaya, Bihar, India.
Satyajeet VermaRajarshi Dashrath Autonomous State Medical College, Ayodhya, Uttar Pradesh, India.
Pawan GoyalShaheed Hasan Khan Mewati Government Medical College Nalhar Hospital, Nuh, Haryana, India.
K V ViswanathanEmergency Department, Trivandrum Medical College, Trivandrum, Kerala, India.
Kemba PaduDepartment of Emergency & Trauma, Tomo Riba Institute of Health & Medical Sciences, Naharlagun, Arunachal Pradesh, India.
Pallavi BoroDepartment of Community Medicine, Tomo Riba Institute of Health & Medical Sciences, Naharlagun, Arunachal Pradesh, India.
Yogesh KumarDepartment of Opthalmology, Shaheed Hasan Khan Mewati Government Medical College Nalhar Hospital, Nuh, Haryana, India.
Pratibha GuptaDepartment of Community Medicine, Rajarshi Dashrath Autonomous State Medical College, Ayodhya, Uttar Pradesh, India.
Srikanth DamodaranEmergency & Trauma Care, Trivandrum District Hospital, Thiruvananthapuram, Kerala, India.
Nasar JubairDepartment of Emergency Medicine, Anugrah Narayan Magadh Medical College, Gaya, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsWe 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.

Indexed as

Emergency Medical ServicesDelivery of Health CareDelivery of Health Care, IntegratedEmergenciesHealth FacilitiesHealth Services ResearchHumansImplementation ScienceIndiaResearch DesignStakeholder ParticipationTime FactorsEmergency care servicesImplementation researchIndiaTime-sensitive conditions

Identifiers

PMID39252001
PMCPMC11382461

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.