Evidence map›Paper›PMID 35982352›Full record

ArticleClinical rheumatology2022

Quantitative interpretation of utterances and movements from videoed interactions between rheumatology nurses and patients commencing methotrexate: a pilot study.

Sandra M Robinson, Jason Scott, Sarah Ryan, Nicola Adams, Andrew Hassell, David Walker

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2022. 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
0.3field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Sandra M RobinsonNorthumbria Healthcare NHS Foundation Trust, North Shields, Tyne and Wear, UK. sandra.robinson3@nhct.nhs.uk.ORCID http://orcid.org/0000-0001-9960-8769
Jason ScottNorthumbria University, Newcastle upon Tyne, UK.
Sarah RyanMidlands Partnership NHS Foundation Trust, Stafford, UK.
Nicola AdamsNorthumbria University, Newcastle upon Tyne, UK.
Andrew HassellMidlands Partnership NHS Foundation Trust, Stafford, UK.
David WalkerNorthumbria Healthcare NHS Foundation Trust, North Shields, Tyne and Wear, UK.
Midlands Partnership NHS Foundation Trust · GBNorthumbria Healthcare NHS Foundation Trust · GBNorthumbria University · GB

Funding

Roche 20166
6 · The paper itself

Abstract

backgroundEducating patients about methotrexate is a core role of rheumatology nurses. We have previously reported the scoring of videoed interviews of rheumatology nurses educating patients prior to commencing methotrexate in comparison with the Calgary-Cambridge consultation model, and the qualitative analysis of the transcripts (Robinson et al. Musculoskeletal Care 2021). We were interested to investigate what could be learned from a more quantitative analysis of utterances and movements in these consultations and how they related to the qualitative interpretations.

aimTo investigate the frequency of utterances and body movements during interactions between rheumatology nurses and patients commencing methotrexate and to relate these to the qualitative interpretations of the interviews.

methodsVideo-recordings of ten patients receiving methotrexate education from four different rheumatology nurses were available from the previous study. They were analysed using the Medical Interaction Process System (MIPS). This involved coding all utterances and body movements minute-by-minute by multiple inspections of the recordings. The first 10 min of each consultation was coded. The utterances and movements of the nurses and patients were compared. The thematic analysis based on the structure and content of the Calgary-Cambridge (C-C) consultation model was available from the previous study. This enabled the results from the MIPS to be compared between the interviews that scored higher on the C-C model and those scoring lower.

resultsThe inter-rater reliability between 2 raters for one video was satisfactory (80-100% agreement). Numerically, giving information dominated the nurse contribution and assent by positive utterances and head nodding dominated for the patients. The results were consistent with the nurse agenda dominating the interaction with little opportunity for patient involvement. Nurses in high-scoring interviews made more illustrative gestures and fewer batonic movements while patients did the opposite. Nurses in high-scoring consultations asked more open questions, with more checking of understanding and summarising but fewer interruptions. Patients in low-scoring consultations were much more animated with head movements and illustrative gestures. Patients also checked and interrupted more.

conclusionsIn this pilot study, the MIPS was usable and demonstrated verbal and non-verbal behaviours consistent with the qualitative assessments. It also showed some behaviours that are not intuitive but may indicate how effectively the interview was progressing. Some nurse behaviours identified that were associated with the higher scoring interviews may be useful indictors for training including making illustrative rather than batonic gestures and checking understanding. Patient behaviours, such as greater animation, were exhibited in low-scoring consultations, and could indicate that the interview was not addressing the patient perspective. Quantification of utterances and movements can be done and may give insights into the consultation process.

Indexed as

MethotrexateRheumatologyHumansPilot ProjectsReferral and ConsultationReproducibility of ResultsMethotrexateMethotrexateMIPSRheumatology nurses

Identifiers

PMID35982352
OpenAlexW4293793918

What OpenQuestion holds

Textmetadata
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.