Evidence map›Paper›PMID 39881063›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025

Understanding the unique patient-causal singularism and patient reported outcomes.

K A Meadows, M Reaney

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

2 authors.

K A MeadowsHealth Outcomes Insights Ltd, Oxfordshire, UK. keith@healthoutinsights.com.ORCID http://orcid.org/0000-0001-6097-0621
M ReaneyIQVIA Patient Centered Solutions, Reading, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient reported outcome measures (PROMs) now play a significant role in randomized control trials (RCTs) providing the basis for efficacy or safety endpoints. Most PROM data is quantitative and is summarized at the group level. Whilst PROM data is informative in providing the aggregated patient perspective on disease and interventions, it provides little information about the patients' individual experiences. For this, qualitative 'case study' research is needed. However, qualitative case-study research has traditionally not been considered as robust for establishing causal inference due to its singular nature and lack of quantifiable findings. The focus of this paper was to advance a proposal as to how to produce a single mixed-methods case analysis of an individual's experiences with treatment from PROM and narrative data that can be used in causal inference research; so-called "Causal singularism".

Indexed as

Patient Reported Outcome MeasuresQuality of LifeHumansQualitative ResearchRandomized Controlled Trials as TopicResearch DesignCase studyCausal singularismExplaining causeMixed-methodsPatient reported outcome measuresQualitative data

Identifiers

PMID39881063

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.