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

BMJ Open Quality

article

Katya Y J Sion¹  Johanna E R Rutten¹  Jan P H Hamers¹  Erica de Vries¹  Sandra M G Zwakhalen¹  Gaby Odekerken-Schröder³  Jos M G A Schols¹  Hilde Verbeek¹ 

[1] Department of Health Services Research, Care and Public Health Research Institute , Maastricht University;Living Lab in Ageing and Long-Term Care , Maastricht University;Department of Marketing and Supply Chain Management, School of Business and Economics , Maastricht University

关键词: nursing homes;    patient-centred care;    quality improvement;    quality measurement;   

DOI  :  10.1136/bmjoq-2021-001434

学科分类：药学

来源: BMJ Publishing Group

【 摘 要 】

Purpose The 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.Design A cross-sectional mixed-methods study in which qualitative data were collected with the narrative quality assessment method Connecting Conversations and interpreted for analysis.Methods Connecting 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.Findings A 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).Conclusions Narrative 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.

【 授权许可】

CC BY-NC|CC BY|CC BY-NC-ND