Evidence map›Paper›PMID 38667714›Full record

ArticleJournal of cardiovascular development and disease2024

Burden from Study Questionnaire on Patient Fatigue in Qualitative Congestive Heart Failure Research.

Pupalan Iyngkaran, Wania Usmani, Zahra Bahmani, Fahad Hanna

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pupalan IyngkaranDepartment of Health and Education, Torrens University Australia, Melbourne, VIC 3000, Australia.ORCID 0000-0003-3169-3762
Wania UsmaniDepartment of Health and Education, Torrens University Australia, Melbourne, VIC 3000, Australia.
Zahra BahmaniHeartWest, Hoppers Crossing, VIC 3029, Australia.
Fahad HannaDepartment of Health and Education, Torrens University Australia, Melbourne, VIC 3000, Australia.ORCID 0000-0002-0494-9585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed methods research forms the backbone of translational research methodologies. Qualitative research and subjective data lead to hypothesis generation and ideas that are then proven via quantitative methodologies and gathering objective data. In this vein, clinical trials that generate subjective data may have limitations, when they are not followed through with quantitative data, in terms of their ability to be considered gold standard evidence and inform guidelines and clinical management. However, since many research methods utilise qualitative tools, an initial factor is that such tools can create a burden on patients and researchers. In addition, the quantity of data and its storage contributes to noise and quality issues for its primary and post hoc use. This paper discusses the issue of the burden of subjective data collected and fatigue in the context of congestive heart failure (CHF) research. The CHF population has a high baseline morbidity, so no doubt the focus should be on the content; however, the lengths of the instruments are a product of their vigorous validation processes. Nonetheless, as an important source of hypothesis generation, if a choice of follow-up qualitative assessment is required for a clinical trial, shorter versions of the questionnaire should be used, without compromising the data collection requirements; otherwise, we need to invest in this area and find suitable solutions.

Indexed as

cardiovascular diseasechronic disease managementcongestive heart failureguidelineshealth datamultidisciplinary careprocesses of care

Identifiers

PMID38667714
PMCPMC11049876

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.