Evidence map›Paper›PMID 37614354›Full record

ArticleThe Lancet regional health. Southeast Asia2023

Prevalence and determinants of delays in care among premature deaths due to acute cardiac conditions and stroke in residents of a district in India.

Anand Krishnan, Md Asadullah, Rakesh Kumar, Ritvik Amarchand, Rohit Bhatia, Ambuj Roy

Open access · diamondAbstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
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  10. Review
  11. Shortening delays in seeking aid for cardiovascular events: a step beyond.The Lancet regional health. Southeast Asia · 2024
    Article
  12. Article
  13. Article
  14. Predictors of Pre-hospital Delay in Myocardial Infarction: A Cross-sectional Study at a Tertiary Care Center of Ahmedabad, India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

6 authors at 1 institution in 1 country.

Anand KrishnanCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Md AsadullahCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Rakesh KumarCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Ritvik AmarchandCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India.
Rohit BhatiaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Ambuj RoyDepartment of Cardiology, Cardiothoracic Centre, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lack of timely care is a predictor of poor outcomes in acute cardiovascular emergencies including stroke. We assessed the presence of delay in seeking appropriate care among those who died due to cardiac/stroke emergencies in a community in northern India and identified the reasons and determinants of this delay. Methods: We conducted a social audit among all civil-registered premature (30-69 years) deaths due to acute cardiac event or stroke in the district. The three-delays model was used to qualitatively classify the delays in care-seeking-deciding to seek care, reaching the appropriate health facility (AHF) and initiating definitive treatment. Based on the estimated time from symptom onset to reaching AHF, we classified patients as early (reached within one hour) or delayed arrivers. We used mixed-effect logistic regression with postal code as a random effect to identify determinants of delayed arrival. Findings: Only 10.8% of the deceased reached an AHF within one hour. We noted level-1 delay in 38.4% (60% due to non-recognition of seriousness); level-2 delay in 20% (40% due to going to an inappropriate facility) and level-3 delay in 10.8% (57% due to lack of affordability). Patients with a monthly family income of >270US$ (aOR 0.44; 95% CI 0.21-0.93) were less and those staying farther from AHF (aOR 1.12; 95% CI 1.01-1.25 for each Km) were more likely to have delayed arrival in AHF. Interpretation: A small proportion of patients with cardiac and stroke emergencies reach health facility early with delays at multiple levels. Addressing the reasons for delay could prevent these deaths. Funding: : Indian Council of Medical Research, New Delhi, India.

Indexed as

CVDsDelayHealth servicesMortalityStroke

Identifiers

PMID37614354
PMCPMC10442961
OpenAlexW4378346880

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.