Institute for Positive Health, Utrecht, The Netherlands
Salut, Arnhem, The Netherlands.
BMJ Open. 2021 Feb 5;11(2):e040816. doi: 10.1136/bmjopen-2020-040816.
The My Positive Health (MPH) dialogue tool is increasingly adopted by healthcare professionals in the Netherlands as well as abroad to support people in their health. Given this trend, the need arises to measure effects of interventions on the Positive Health dimensions. However, the dialogue tool was not developed for this purpose. Therefore, this study aims to work towards a suitable measurement scale using the MPH dialogue tool as starting point.
A cross-sectional study design.
A total of 708 respondents, who were all members of the municipal health service panel in the eastern part of the Netherlands, completed the MPH dialogue tool.
The factor structure of the MPH dialogue tool was explored through exploratory factor analysis using maximum likelihood extraction. Next, the fit of the extracted factor structure was tested through confirmatory factor analysis. Reliability and discriminant validity of both a new model and the MPH scales were assessed through Cronbach's alpha tests.
Similar to the MPH dialogue tool, the extracted 17-item model has a six-factor structure but named differently, comprising the factors physical fitness, mental functions, future perspectives, contentment, social relations and health management. The reliability tests suggest good to very good reliability of the aimed measurement tool and MPH model (Cronbach's alpha values ranging from, respectively, 0.820 to 0.920 and 0.882 to 0.933). The measurement model shows acceptable discriminant validity, whereas the MPH model suggests overlap between domains.
The results suggest that the current MPH dialogue tool seems reliable as a dialogue, but it is not suitable as a measurement scale. We therefore propose a 17-item model with improved, acceptable psychometric properties which can serve as a basis for further development of a measurement scale.
My Positive Health（MPH）对话工具在荷兰及其他国家/地区的医疗保健专业人员中越来越受欢迎，用于支持人们的健康。鉴于这种趋势，需要衡量干预措施对积极健康维度的影响。然而，该对话工具并非为此目的而开发。因此，本研究旨在使用 MPH 对话工具作为起点，努力开发合适的测量量表。
横断面研究设计。
共有 708 名受访者，他们都是荷兰东部市保健服务小组的成员，完成了 MPH 对话工具。
通过最大似然提取的探索性因子分析探索 MPH 对话工具的因子结构。接下来，通过验证性因子分析测试提取的因子结构的拟合度。通过 Cronbach's alpha 测试评估新模型和 MPH 量表的可靠性和判别有效性。
与 MPH 对话工具类似，提取的 17 项模型具有六因子结构，但名称不同，包括身体适应性、心理功能、未来展望、满足感、社会关系和健康管理。可靠性测试表明，目标测量工具和 MPH 模型的可靠性良好至非常好（Cronbach's alpha 值分别为 0.820 至 0.920 和 0.882 至 0.933）。测量模型显示出可接受的判别有效性，而 MPH 模型则表明域之间存在重叠。
结果表明，当前的 MPH 对话工具作为对话似乎是可靠的，但作为测量量表并不合适。因此，我们提出了一个 17 项模型，具有改进的、可接受的心理测量特性，可以作为进一步开发测量量表的基础。
