Evidence mapPaperPMID 39495774Full record

ArticlePLOS global public health2024

Cautionary lessons from the COVID-19 pandemic: Healthcare systems grappled with the dual responsibility of delivering COVID-19 and non-COVID-19 care.

Bhanu Duggal, Anuva Kapoor, Mona Duggal, Kangan Maria, Vasuki Rayapati, Mithlesh Chourase, Mukesh Kumar, Sujata Saunik, Praveen Gedam, Lakshminarayanan Subramanian

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

10 authors.

Bhanu DuggalDepartment of Cardiology, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India.
Anuva KapoorCommunity and Family Medicine Resident, All India Institute of Medical Sciences (AIIMS), Nagpur, India.ORCID https://orcid.org/0009-0002-6009-1015
Mona DuggalAdvance Eye Centre, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Kangan MariaDepartment of Cardiology, AIIMS, Rishikesh, Uttarakhand, India.
Vasuki RayapatiDepartment of Cardiology, AIIMS, Rishikesh, Uttarakhand, India.
Mithlesh ChouraseDepartment of Cardiology, AIIMS, Rishikesh, Uttarakhand, India.
Mukesh KumarDepartment of Cardiology, AIIMS, Rishikesh, Uttarakhand, India.
Sujata SaunikHealth, Harvard T.H Chan School of Public Health, Boston, MA, United States of America.
Praveen GedamNational Health Authority, New Delhi, India.
Lakshminarayanan SubramanianProfessor of Computer Science, New York University, New York, NY, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, hospitals were challenged to provide both COVID-19 and non-COVID treatment. A survey questionnaire was designed and distributed via email to hospitals empanelled under the Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana(AB-PMJAY), the world's largest National Health Insurance Scheme. Telephonic follow-ups were used to ensure participation in places with inadequate internet. We applied support vector regression to quantify the hospital variables that affected the use vs. non-use of hospital services (Model-1), and factors impacting COVID-19 revenue and staffing levels (Model-2).We quantified the statistical significance of important input variables using Fisher's exact test. The survey, conducted early in the pandemic, included 461 hospitals across 20 states and union territories. Only 55.5% of hospitals were delivering emergency care, 26.7% were doing elective surgery and 36.7% providing obstetric services. Hospitals with adequate supplies of PPE, including N95 masks, and separate facilities designated for COVID-19 patients were more likely to continue providing emergency surgeries and services effectively. Data analysis revealed that large hospitals (> 250 beds) with adequate PPE and dedicated COVID-19 facilities continued both emergency and elective surgeries. Public hospitals were key in pandemic management, large private hospital systems were more likely to conduct non-COVID-19 surgeries, with not-for-profit hospitals performing slightly better. Public and large private not-for-profit hospitals faced fewer staff shortages and revenue declines. In contrast, smaller hospitals (< 50 beds) experienced significant staff attrition due to anxiety, stress and revenue losses. They requested government support for PPE supplies, staff training, testing kits, and special allowances for healthcare workers. The inclusion of COVID-19 coverage under AB-PMJAY improved access to healthcare for critical cases. Maintaining non-COVID-19 care during the pandemic indicates healthcare system resiliency. A state-wide data-driven system for ventilators, beds, and funding support for smaller hospitals, would improve patient care access and collaboration.

Identifiers

PMID39495774
PMCPMC11534245

What Socratic holds

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LicenceCC BY
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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 Socratic graph.