Evidence map›Paper›PMID 37727445›Full record

ArticlePreventive medicine reports2023

The impact of the covid-19 outbreak on unmet health care needs in istanbul.

Yagmur Tokatlioglu, Seher Nur Sulku

Abstract read
In one paragraph

Article in Preventive medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. Demographics of Total Hip and Knee Arthroplasty in Nepal: An Observational Study.JNMA; journal of the Nepal Medical Association · 2024
    Observational
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

2 authors.

Yagmur TokatliogluAnkara Haci Bayram Veli University Department of Econometrics, Ankara, Turkey.
Seher Nur SulkuAnkara Haci Bayram Veli University Department of Econometrics, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & aim: COVID-19 pandemic caused significant barriers to maintain health services. Our study determines the frequency and significant determinants of unmet health needs in Istanbul both in 2019, a pre-pandemic year, and in 2021, a pandemic year and compares the results COVID-19 era to a prior to pandemic year. Methods: As our study is the first questing Istanbul experience, we estimate the frequencies and determinants of unmet healthcare need among +15 population using TurkStat's Income and Living Conditions Survey Data via Generalized Linear Models (GLMs). Results: We found that the most prominent barriers were late appointment dates and financial difficulty both before and during the pandemic. According to our findings, women and those having any chronic disease become significantly more likely to have unmet health needs during the pandemic compared to pre-pandemic period. Indeed, the ones belonging to the lowest income group and having lower level perceived health were disadvantaged with higher change of unmet needs both prior to and during the pandemic. Furthermore, the frequency of the Istanbulers who had unmet healthcare needs increased more than 1.5 time during the COVID-19 pandemic. Conclusions: As unmet healthcare needs due to COVID-19 jeopardizing the healthcare systems, it is important to comprehend the causes of unmet healthcare demands during infectious disease outbreaks in order to prioritize the right policies and protection strategies for the most vulnerable ones.

Indexed as

COVID-19GLMsHealthcare utilizationIstanbulUnmet healthcare needs

Identifiers

PMID37727445
PMCPMC10506054

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.