School of Clinical Sciences, Auckland University of Technology (AUT), Auckland, New Zealand.
School of Public Health and Psychosocial Studies, Auckland University of Technology (AUT), Auckland, New Zealand.
J Pain Symptom Manage. 2019 Feb;57(2):290-296. doi: 10.1016/j.jpainsymman.2018.11.019. Epub 2018 Nov 26.
Accurate assessment of a patient's palliative care needs is essential for the timely provision of treatment and support. The Integrated Palliative Care Outcome Scale (IPOS) is an ordinal measure possessing acceptable psychometric properties, but its ability to discriminate precisely between individual symptom levels has not been rigorously investigated.
The study aimed to conduct Rasch analysis of the IPOS to evaluate and enhance precision of the instrument.
Responses of 300 community-dwelling palliative care patients were subjected to Rasch analysis using the partial credit model.
Initial analysis supported the use of the Rasch model and acceptable reliability (person separation index = 0.77) was observed; however, unsatisfactory model fit was found. Local dependency between items was resolved through the creation of super-items, which increased model fit, reliability (person separation index = 0.80), and unidimensionality. There were no misfitting super-items or differential item functioning by age, rater, sex, or ethnicity. The IPOS showed satisfactory coverage of symptoms within the present clinical sample, with the ability to assess higher severity patients.
The modified IPOS showed excellent reliability for a clinical measure in assessing the overall palliative care needs of a patient. The provided ordinal-to-interval conversion table accounts for unique contribution of each symptom to the overall symptom burden and easy to use without the need to modify the original IPOS format.
准确评估患者的姑息治疗需求对于及时提供治疗和支持至关重要。综合姑息治疗结局量表(IPOS)是一种具有可接受的心理测量学特性的有序测量工具,但它在精确区分个体症状水平方面的能力尚未得到严格研究。
本研究旨在对 IPOS 进行 Rasch 分析,以评估和提高仪器的精度。
使用部分信用模型对 300 名社区姑息治疗患者的反应进行 Rasch 分析。
初步分析支持 Rasch 模型的使用,并观察到可接受的可靠性(人员分离指数=0.77);然而,发现模型拟合不佳。通过创建超级项目解决了项目之间的局部依赖性,从而提高了模型拟合度、可靠性(人员分离指数=0.80)和单维性。没有不适合的超级项目或因年龄、评分者、性别或种族而导致的差异项目功能。IPOS 在目前的临床样本中表现出对症状的良好覆盖范围,能够评估更严重的患者。
改良的 IPOS 在评估患者整体姑息治疗需求方面具有出色的临床测量可靠性。所提供的有序到区间的转换表考虑了每个症状对整体症状负担的独特贡献,易于使用,无需修改原始的 IPOS 格式。