Department of Health, Medicine and Caring Sciences (HMV), Linköping University, Linköping, Sweden.
1177 Medical Advisory Service and Department of Health, Medicine and Caring services (HMV), Linköping University, Linköping, Sweden.
Scand J Caring Sci. 2023 Sep;37(3):687-697. doi: 10.1111/scs.13149. Epub 2023 Jan 30.
Interaction between caller and telenurse in telenursing is important for caller satisfaction and subsequent compliance. Despite this, satisfaction measures with focus on interaction in telenursing are scarce and rarely anchored in nursing theory. The aim was to evaluate the psychometric properties of the Telenursing Interaction and Satisfaction Scale (TISS) with focus on data quality, factor structure, convergent validity, and reliability.
This psychometric study was based on cross-sectional data.
RESEARCH METHODS, INSTRUMENTS, AND/OR INTERVENTIONS: Callers to the National Medical Advisory Service in Sweden (n = 616) completed the 60-item Telenursing Interaction and Satisfaction Questionnaire based on Cox's Interaction Model of Client Health Behavior. Twenty-five of these items were selected to form the TISS in four subscales according to the model. Data quality was evaluated in terms of missing data patterns and score distributions. The factor structure was evaluated with confirmatory factor analysis for ordinal data, convergent validity with Spearman correlations, internal consistency with ordinal alpha, scale reliability with composite reliability coefficients, and test-retest reliability with intraclass correlations.
The amount of missing data was acceptable and equally distributed. Data deviated significantly from a normal distribution. All response options were endorsed. The factor analysis confirmed the hypothesised four-factor structure; factor loadings ranged from 0.56 to 0.97 and factor correlations were high (0.88-0.96). Internal consistency (ordinal alpha = 0.82-0.97), scale reliability (0.88-0.99), and test-retest reliability (ICC = 0.77-0.86) were satisfactory for all scales.
The study design did not allow drop-out analysis.
The TISS showed satisfactory psychometric properties in the study sample. It provides a measure that enables quantitative measurement of caller satisfaction with interaction in telenursing.
远程护理中的呼叫者与远程护士之间的互动对于呼叫者的满意度和后续的依从性很重要。尽管如此，关注远程护理中互动的满意度衡量标准却很少，并且很少基于护理理论。本研究旨在评估以互动为重点的远程护理交互和满意度量表（TISS）的心理测量特性，重点是数据质量、因素结构、收敛有效性和可靠性。
本心理测量研究基于横断面数据。
研究方法、工具和/或干预措施：瑞典国家医疗咨询服务的呼叫者（n=616）完成了基于考克斯客户健康行为互动模型的 60 项远程护理互动和满意度问卷。根据该模型，从这 25 个项目中选择了 25 个项目组成 TISS 的四个子量表。通过缺失数据模式和分数分布评估数据质量。采用有序数据的验证性因子分析评估因子结构，采用 Spearman 相关系数评估收敛有效性，采用有序 alpha 评估内部一致性，采用综合可靠性系数评估量表可靠性，采用组内相关系数评估重测信度。
缺失数据量可接受且分布均匀。数据明显偏离正态分布。所有回答选项都得到了支持。因子分析证实了假设的四因子结构；因子负荷范围为 0.56-0.97，因子相关性较高（0.88-0.96）。所有量表的内部一致性（有序 alpha=0.82-0.97）、量表可靠性（0.88-0.99）和重测信度（ICC=0.77-0.86）均令人满意。
研究设计不允许进行辍学分析。
TISS 在研究样本中表现出令人满意的心理测量特性。它提供了一种可以定量测量呼叫者对远程护理中互动满意度的方法。
