Evidence map›Paper›PMID 26703244›Full record

ArticleBMC medical informatics and decision making2015

The relative meaning of absolute numbers: the case of pain intensity scores as decision support systems for pain management of patients with dementia.

Valentina Lichtner, Dawn Dowding, S José Closs

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Pain Management in Cognitively Impaired Older Adults.International journal of nursing and health care research · 2024
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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

3 authors at 2 institutions in 2 countries.

Valentina LichtnerSchool of Healthcare, University of Leeds, Leeds, UK. v.lichtner@leeds.ac.uk.
Dawn DowdingColumbia University School of Nursing, New York, NY, USA. dd2724@columbia.edu.
S José ClossSchool of Healthcare, University of Leeds, Leeds, UK. s.j.closs@leeds.ac.uk.
University of Leeds · GBColumbia University · US

Funding

Department of Health 11/2000/05
6 · The paper itself

Abstract

backgroundAssessment and management of pain in patients with dementia is known to be challenging, due to patients' cognitive and/or communication difficulties. In the UK, pain in hospital is managed through regular assessments, with the use of pain intensity scores as triggers for action. The aim of this study was to understand current pain assessment practices, in order to later inform the development of a decision support tool designed to improve the management of pain for people with dementia in hospital.

methodsAn exploratory study was conducted in four hospitals in the UK (11 wards), with observations of patients with dementia (n = 31), interviews of staff (n = 52) and patients' family members (n = 4) and documentary analysis. A thematic analysis was carried out, structured along dimensions of decision making. This paper focuses on the emergent themes related to the use of assessment tools and pain intensity scores.

resultsA variety of tools were used to record pain intensity, usually with numerical scales. None of the tools in actual use had been specifically designed for patients with cognitive impairment. With patients with more severe dementia, the patient's body language and other cues were studied to infer pain intensity and then a score entered on behalf of the patient. Information regarding the temporality of pain and changes in pain experience (rather than a score at a single point in time) seemed to be most useful to the assessment of pain.

conclusionsGiven the inherent uncertainty of the meaning of pain scores for patients with dementia, numerical scales were used with caution. Numerical scores triggered action but their meaning was relative - to the patient, to the clinician, to the time of recording and to the purpose of documenting. There are implications for use of data and computerized decision support systems design. Decision support interventions should include personalized alerting cut-off scores for individual patients, display pain scores over time and integrate professional narratives, mitigating uncertainties around single pain scores for patients with dementia.

Indexed as

DementiaAgedAged, 80 and overDecision Support Systems, ClinicalFemaleHumansMalePain ManagementPain MeasurementPilot Projects

Identifiers

PMID26703244
PMCPMC4690343
OpenAlexW2236604902

What OpenQuestion holds

Textmetadata
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.