Evidence map›Paper›PMID 38689679›Full record

ArticleCureus2024

Evaluating the Quality of Life of Beneficiaries After Providing Financial Aid by a Multi-specialty Tertiary Care Hospital.

Rehana C Mukundan, Sanjeev Singh, Ajith Kumar, T V Sathianandan

Abstract read
In one paragraph

Article in Cureus, 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.

Rehana C MukundanPatient Services, Amrita Institute of Medical Sciences and Research Center, Kochi, Kochi, IND.
Sanjeev SinghMedicine, Amrita Institute of Medical Sciences and Research Center, Faridabad, Faridabad, IND.
Ajith KumarCommerce and Management, Amrita School of Arts and Sciences, Kochi, Kochi, IND.
T V SathianandanBiostatistics, Amrita Institute of Medical Science and Research Center, Kochi, Kochi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Financial aid programs offered by multi-specialty tertiary care hospitals play a crucial role in ensuring equitable access to healthcare. This study investigates the effect of financial aid on the quality of life (QoL) of beneficiaries, aiming to provide a comprehensive understanding of the multifaceted relationship between healthcare support and overall well-being. Aim The study's objectives included assessing changes in pre- and post-aid QoL, identifying influencing factors, understanding beneficiary experiences, and evaluating the effectiveness of financial aid programs. Methods The study adopted quantitative assessments through QoL questionnaires developed based on the WHO BREF questionnaire and insights obtained through interviews. A representative sample of beneficiaries was selected, informed consent was obtained, and an institutional ethical certificate was also obtained. Results The findings overwhelmingly support the alternative hypothesis. The alternative hypothesis was that after receiving financial support, recipients' quality of life would increase. Quantitative analysis revealed a statistically significant enhancement in the QoL of beneficiaries across physical, mental, and social well-being domains. The quality of life scores of patients before and after receiving the support was statistically tested using a paired t-test, and the quality of life score has improved significantly with a p-value of 4.156 × 10

Indexed as

comparative analysisfinancial aidhealth care serviceshealth related expensemulti-specialtyquality of lifesatisfactionsleepstresssupport programmes

Identifiers

PMID38689679
PMCPMC11059032

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.