Evidence map›Paper›PMID 42893053›Full record

ArticleResuscitation plus2026

Health system readiness for out-of-hospital-cardiac-arrest management in resource limited settings: A mixed-method study from rural and suburban Sindh, Pakistan.

Mirza Noor Ali Baig, Zafar Fatmi, Nadeem Ullah Khan, Uzma Rahim Khan, Ahmed Raheem, Junaid Abdul Razzak

Abstract read
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Article in Resuscitation plus, 2026. 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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mirza Noor Ali BaigDepartment of Emergency Medicine, The Aga Khan University Hospital, Karachi, Pakistan.
Zafar FatmiDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Nadeem Ullah KhanDepartment of Emergency Medicine, The Aga Khan University Hospital, Karachi, Pakistan.
Uzma Rahim KhanDepartment of Emergency Medicine, The Aga Khan University Hospital, Karachi, Pakistan.
Ahmed RaheemDepartment of Emergency Medicine, The Aga Khan University Hospital, Karachi, Pakistan.
Junaid Abdul RazzakCentre of Excellence for Trauma & Emergencies, The Aga Khan University, Karachi, Pakistan.

Funding

JHU-Afghanistan-Pakistan Collaborative Trauma and Injury Research TrainingD43TW007292 · FIC · JOHNS HOPKINS UNIVERSITY · PI Nadeem Ullah Khan, Junaid Abdul Razzak · 2005 to 2026
$4.7M
FIC NIH HHS D43 TW007292
6 · The paper itself

Abstract

Background: Out-of-hospital-cardiac-arrest requires a robust emergency response system for survival. In low-resource settings like suburban and rural Sindh in Pakistan, little is known about the readiness of healthcare systems and communities. Aim: The aim of this study was to comprehensively assess the system-readiness for out-of-hospital-cardiac-arrest management in rural and suburban areas of Sindh, Pakistan by studying out-of-hospital and in-hospital elements of chain of survival in these areas. Methods: A triangulation mixed-methods design was used. The study was conducted in seven hospitals in the suburban and rural areas of upper, central and southern parts of the province of Sindh, Pakistan. Quantitative data from exit interviews ( Results: Exit interviews with 163 patients showed that the lowest proportions satisfied were for communication (26.4%), financial aspects (31.3%), accessibility and convenience (32.5%), technical quality of emergency room staff (40.5%), and time spent with doctors (47.2%). Among the seven facilities assessed, defibrillators were available in two, but neither was functional; epinephrine was available in four, pulse oximeters in three, and endotracheal tubes in three, while laryngeal mask airways were unavailable in all facilities. Qualitative data from 12 focus group discussions, 15 in-depth interviews, and three key informant interviews identified limited recognition of cardiac arrest, inadequate ambulance availability, poor road access, shortages of trained staff and resuscitation equipment, sociocultural and gender-related barriers, and weaknesses in emergency care governance and data systems. Conclusion: Triangulation of quantitative and qualitative findings showed that the Chain of Survival in rural and suburban Sindh is weak at several points, including the community, prehospital care, health facilities, and governance.The study shows that there is a need to strengthen the system at multiple levels. This includes training community members, ambulance crew and emergency room staff in cardiopulmonary resuscitation, setting minimum standards for resuscitation readiness, and creating out-of-hospital-cardiac-arrest registries.

Indexed as

Chain of survivalOut-of-hospital-cardiac-arrestRural and suburban

Identifiers

PMID42893053
PMCPMC13676130

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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.