Evidence map›Paper›PMID 39090570›Full record

ArticleBMC public health2024

Assessing patient satisfaction and healthcare delivery amidst the COVID-19 pandemic: insights from Jammu and Kashmir, India.

Arunima Koul, Shazina Saeed, Karuna Nidhi Kaur, Farah Niazi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC 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

4 authors.

Arunima KoulArunima Koul, Laboratory of Disease Dynamics & Molecular Epidemiology, Amity Institute of Public Health, Amity University, Noida, India.ORCID 0000-0002-6818-8367
Shazina SaeedAmity Institute of Public Health, Amity University, Noida, India. ssaeed@amity.edu.ORCID 0000-0001-5213-296X
Karuna Nidhi KaurLaboratory of Disease Dynamics & Molecular Epidemiology, Amity Institute of Public Health, Karuna Nidhi Kaur, Amity University, Noida, India.ORCID 0000-0001-7138-4062
Farah NiaziArunima Koul, Laboratory of Disease Dynamics & Molecular Epidemiology, Amity Institute of Public Health, Amity University, Noida, India.ORCID 0000-0002-1294-6288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAmidst the challenges posed by Covid-19, assessing healthcare quality in India is crucial, particularly through patient satisfaction levels. METHODOLOGY: A cross-sectional survey of 277 participants in Jammu and Kashmir was conducted, utilizing a semi-structured questionnaire and PSQ-18. Data analysis was performed using SPSS (v25) including Chi-Square tests and Descriptive analysis.

resultsOut of 277 participants, 70.8% expressed high satisfaction with medical care. Majority (70%) agreed that doctors explained medical tests well. Additionally, 70% strongly agreed that their doctor's office was well-equipped. Dissatisfaction factors were notably low. Significant associations were found between age and alcohol use (p = 0.041), gender and alcohol use (p = 0.007), gender and tobacco use (p = 0.032), and education level and vaccination (p = 0.001).

conclusionThe study highlights high patient satisfaction during the pandemic. Improving accessibility and quality of primary healthcare and community centres is essential to meet patient needs effectively.

Indexed as

COVID-19Patient SatisfactionAdolescentAdultAgedCross-Sectional StudiesDelivery of Health CareFemaleHumansIndiaMaleMiddle AgedPandemicsQuality of Health CareSurveys and QuestionnairesYoung AdultCOVID-19Healthcare deliveryJammu and KashmirPatient satisfactionQuality of healthcare

Identifiers

PMID39090570
PMCPMC11295500

What OpenQuestion holds

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LicenceCC BY
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.