Evidence map›Paper›PMID 38494533›Full record

ArticleScientific reports2024

Impact of COVID-19 national response on primary care utilisation in Singapore: an interrupted time-series analysis.

Vanessa Tan, Gregory Ang, Kelvin Bryan Tan, Cynthia Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The Family Doctor in the "COVID-19 Era".Healthcare (Basel, Switzerland) · 2024
    Review
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

4 authors.

Vanessa TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore.
Gregory AngSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore.
Kelvin Bryan TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore.
Cynthia ChenSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #09-01T, Singapore, 117549, Singapore. ephchc@nus.edu.sg.

Funding

National Medical Research Council MOH-001315
6 · The paper itself

Abstract

Since the start of the pandemic, many national responses, such as nationwide lockdowns, have been implemented to curb the spread of COVID-19. We aim to assess the impact of Singapore's national responses on primary care utilisation. We performed an interrupted time series using acute and chronic primary care data of 3 168 578 visits between 1 September 2019 and 31 August 2020 over four periods: before any measures were put in place, during Disease Outbreak Response System Condition (DORSCON) Orange, when Circuit Breaker was instituted, and when Circuit Breaker was lifted. We found significant mean reductions in acute and chronic primary care visits immediately following DORSCON Orange and Circuit Breaker. DORSCON Orange was associated with - 2020 mean daily visits (95% CI - 2890 to - 1150). Circuit Breaker was associated with a further - 2510 mean daily visits (95% CI - 3660 to - 1360). Primary care utilisation for acute visits remained below baseline levels even after the Circuit Breaker was lifted. These significant reductions were observed in both acute and chronic visits, with acute visits experiencing a steeper drop during DORSCON Orange. Understanding the impact of COVID-19 measures on primary care utilisation will be useful for future public health planning.

Indexed as

COVID-19Communicable Disease ControlHumansInterrupted Time Series AnalysisPrimary Health CareSingapore

Identifiers

PMID38494533
PMCPMC10944837

What OpenQuestion holds

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Registered trials

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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.