Evidence map›Paper›PMID 30023444›Full record

ArticleContemporary clinical trials communications2018

Implementing a STEMI system of care in urban Bangalore: Rationale and Study Design for heart rescue India.

Aruna Ramesh, Kenneth A LaBresh, Rhea Begeman, Bentley Bobrow, Teri Campbell, Nayanjeet Chaudhury, Marcia Edison, Timothy B Erickson, John D Manning, Bellur S Prabhakar and 4 more

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 2 countries.

Aruna RameshM.S. Ramiah Medical College, MSR Nagar, MSRIT Post Bengalaru 56004, India.
Kenneth A LaBreshRTI International, Research Triangle Park, NC, USA, 3040 Cornwallis Rd Research Triangle Park, NC 27709, USA.
Rhea BegemanUniversity of Illinois at Chicago Department of Emergency Medicine and Center for Global Health, 1940 Taylor M/C 584, Chicago, IL, USA.
Bentley BobrowUniversity of Arizona Department of Emergency Medicine, 1609 N. Warren Ave., Room 118, PO Box 245057, Tucson, AZ 85724-5057, USA.
Teri CampbellUniversity of Illinois at Chicago Department of Emergency Medicine and Center for Global Health, 1940 Taylor M/C 584, Chicago, IL, USA.
Nayanjeet ChaudhuryMedtronic Philanthropy, Delhi, India.
Marcia EdisonUniversity of Illinois at Chicago Department of Emergency Medicine and Center for Global Health, 1940 Taylor M/C 584, Chicago, IL, USA.
Timothy B EricksonBrigham and Woman's Hospital, Harvard Medical School, Harvard Humanitarian Initiative, 75 Francis St, Boston, MA 02115 USA.
John D ManningCarolinas HealthCare System, Charlotte, NC, USA.
Bellur S PrabhakarUniversity of Illinois at Chicago Department of Emergency Medicine and Center for Global Health, 1940 Taylor M/C 584, Chicago, IL, USA.
Pavitra Kotini-ShahUniversity of Illinois at Chicago Department of Emergency Medicine and Center for Global Health, 1940 Taylor M/C 584, Chicago, IL, USA.
Naresh ShettyRTI International, Research Triangle Park, NC, USA, 3040 Cornwallis Rd Research Triangle Park, NC 27709, USA.
Pamela A WilliamsRTI International, Research Triangle Park, NC, USA, 3040 Cornwallis Rd Research Triangle Park, NC 27709, USA.
Terry Vanden HoekUniversity of Illinois at Chicago Department of Emergency Medicine and Center for Global Health, 1940 Taylor M/C 584, Chicago, IL, USA.
University of Illinois Chicago · USRTI International · USCarolinas Healthcare System · USHarvard University · USMedtronic (India) · INM.S. Ramaiah Medical College · INUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA system of care designed to measure and improve process measures such as symptom recognition, emergency response, and hospital care has the potential to reduce mortality and improve quality of life for patients with ST-elevation myocardial infarction (STEMI).

objectiveTo document the methodology and rationale for the implementation and impact measurement of the Heart Rescue India project on STEMI morbidity and mortality in Bangalore, India. STUDY

designA hub and spoke STEMI system of care comprised of two interventional, hub hospitals and five spoke hospitals will build and deploy a dedicated emergency response and transport system covering a 10 Km. radius area of Bangalore, India. High risk patients will receive a dedicated emergency response number to call for symptoms of heart attack. A dedicated operations center will use geo-tracking strategies to optimize response times including first responder motor scooter transport, equipped with ECG machines to transmit ECG's for immediate interpretation and optimal triage. At the same time, a dedicated ambulance will be deployed for transport of appropriate STEMI patients to a hub hospital while non-STEMI patients will be transported to spoke hospitals. To enhance patient recognition and initiation of therapy, school children will be trained in basic CPR and signs and symptom of chest pain. Hub hospitals will refine their emergency department and cardiac catheterization laboratory protocols using continuous quality improvement techniques to minimize treatment delays. Prior to hospital discharge, secondary prevention measures will be initiated to enhance long-term patient outcomes.

Indexed as

AngioplastyQuality improvementSTEMIThrombolysis

Identifiers

PMID30023444
PMCPMC6047311
OpenAlexW2795539276

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.