Department of Health Services Research, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
Living Lab in Ageing and Long-Term Care, Maastricht University, Maastricht, The Netherlands.
BMJ Open Qual. 2021 Sep;10(3). doi: 10.1136/bmjoq-2021-001434.
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.
A cross-sectional mixed-methods study in which qualitative data were collected with the narrative quality assessment method Connecting Conversations and interpreted for analysis.
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.
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).
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.
从居民的角度使用定性数据评估养老院的护理质量已被证明是有价值的，但需要进一步研究如何利用这些数据深入了解养老院的护理质量。虽然贴近定性数据的优势所在至关重要，但对数据进行间歇性分类可以支持解释和使用。因此，本研究介绍了一种方法，使叙事护理质量数据能够得到利用并得以改进。
这是一项横断面混合方法研究，使用叙事质量评估方法“对话连接”（Connecting Conversations）收集有关养老院护理经验质量的定性数据，并进行解释分析。
“对话连接”（Connecting Conversations）用于根据居民、他们的家属和护理人员（三人小组）的情况收集关于养老院护理质量的叙事数据。数据分析包括对每个转录本中的积极/消极情感进行编码。
逐步方法可以支持叙事质量数据的使用，包括四个步骤：（1）进行并转录对话（倾听）；（2）计算正值分数，定义为三人小组内的平均正性百分比（观察）；（3）计算一致性分数，定义为居民-家属-护理人员之间的一致性水平（联系）；（4）将分数绘制到图表中，以便根据一致性分数（x 轴）和正值分数（y 轴）进行解释和学习（学习）。
叙事质量数据可以解释为正值和一致性分数。这些分数需要与原始定性数据相关联，以深入了解哪些方面做得好，哪些方面需要改进。
