Evidence map›Paper›PMID 34548376›Full record

ArticleBMJ open quality2021

Listen, look, link and learn: a stepwise approach to use narrative quality data within resident-family-nursing staff triads in nursing homes for quality improvements.

Katya Y J Sion, Johanna E R Rutten, Jan P H Hamers, Erica de Vries, Sandra M G Zwakhalen, Gaby Odekerken-Schröder, Jos M G A Schols, Hilde Verbeek

Abstract read
In one paragraph

Article in BMJ open quality, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Katya Y J SionDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands k.sion@maastrichtuniversity.nl.ORCID 0000-0002-7190-7238
Johanna E R RuttenDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Jan P H HamersDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Erica de VriesDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Sandra M G ZwakhalenDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Gaby Odekerken-SchröderDepartment of Marketing and Supply Chain Management, School of Business and Economics, Maastricht University, Maastricht, The Netherlands.
Jos M G A ScholsDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.
Hilde VerbeekDepartment of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe use of qualitative data to assess quality of care in nursing homes from the resident's perspective has shown to be valuable, yet more research is needed to determine how this data can be used to gain insight into the quality of care within nursing homes. Whereas it is crucial to stay close to the stories that are the strength of qualitative data, an intermittent step to classify this data can support the interpretation and use. Therefore, this study introduces an approach that enables the use of narrative quality of care data to learn from and improve with.

designA cross-sectional mixed-methods study in which qualitative data were collected with the narrative quality assessment method Connecting Conversations and interpreted for analysis.

methodsConnecting Conversations was used to collect narrative data about experienced quality of care in nursing homes according to residents, their families and nursing staff (triads). Data analysis consisted of coding positive/negative valences in each transcript.

findingsA stepwise approach can support the use of narrative quality data consisting of four steps: (1) perform and transcribe the conversations (listen); (2) calculate a valence sore, defined as the mean %-positive within a triad (look); (3) calculate an agreement score, defined as the level of agreement between resident-family-nursing staff (link); and (4) plot scores into a graph for interpretation and learning purposes with agreement score (x-axis) and valence score (y-axis) (learn).

conclusionsNarrative quality data can be interpreted as a valence and agreement score. These scores need to be related to the raw qualitative data to gain a rich understanding of what is going well and what needs to be improved.

Indexed as

Nursing StaffQuality ImprovementCommunicationCross-Sectional StudiesHumansNursing Homesnursing homespatient-centred carequality improvementquality measurement

Identifiers

PMID34548376
PMCPMC8458352

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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.