Item-Level Psychometric Properties of the Life Satisfaction Index–Z

Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. The purpose of this study was to analyze the Life Satisfaction Index–Z (LSI–Z) and provide its item-level psychometric properties. Although the LSI–Z consists of two separate unidimensional and valid subscales, it demonstrated poor precision. Therefore, OT should be aware of this critical measurement issue when using this instrument in their clinical settings and must be interpreted the test scores with some caution. Primary Author and Speaker: Heesu Choi Additional Authors and Speakers: Nam Sanghun, Ickpyo Hong

OP122 Resource Use Measurement Issues: A Scoping Review

IntroductionResource use measurement is known to be a challenging and time-consuming, but essential step in economic evaluations of health care interventions. Measuring true quantities of resources utilized is of major importance for generating valid costing estimates. As consequence of the absence of a gold standard and of acknowledged guidelines, the choice of a measurement method is often based on practicality instead of methodological evidence. An overview of resource use measurement issues is currently lacking. Such overview could enhance clearance in the quality of resource use measurement methods in economic evaluations and may facilitate to opt for evidence based measurement methods in the future. This study aims to provide an overview of methodological evidence regarding resource use measurement issues in economic evaluations.MethodsLiterature was searched by three different methods. First, a search strategy was used in six different databases. Second, the Database of Instruments for Resource Use Measurement (DIRUM) was hand-searched. Third, experts from six different European Union countries within the field of health economics were asked to provide relevant studies. Data was analyzed according to the Resource Use Measurement Issues (RUMI-) framework, which was developed for this study.ResultsOf the 3,478 articles provided in the initial search, 77 were fully analyzed. An overview with evidence is provided for every resource use measurement issue. Most research focused around the issue ‘how to measure’, in particular the effect of self-reported data versus administrative data. In contrast, little to no research has been done on issues ‘what to measure’ and ‘for which purpose to measure’.ConclusionsResults of this study provide insight in the effect of a chosen measurement method. The results stress the importance of measuring the true quantities of resources utilized for generating valid costing estimates. Furthermore, this article highlights the lack of evidence in appropriate resource use measurement methods.

The peak-end effects in controllers’ mental workload evaluation

People’ retrospective evaluation of their hedonic experience is heavily influenced by the most intense (peak) and the last (end) moment. This study examines whether such peak-end effect can also be applied to the evaluation of mental workload in the context of air traffic control. Twenty professional approach controllers finished four tasks on high fidelity simulators and rated overall workload after each task by NASA-TLX scale. A 2 (high vs. low peak) by 2 (high vs. low end) within-subject design was used. The results showed that there was a significant peak effect and a marginally significant end effect. This study calls for further investigation of the measurement issue of mental workload and provides insights for workload management strategies.

Construct validity in Operations Management by using Rasch Measurement Theory. The case of the construct “motivation to implement continuous improvement"

<p class="Abstract"><span lang="EN-US">Construct design and validation is a common practise in the Operations Management field. In this sense, the aim of this study is to present Rasch Measurement Theory (RMT) as richful and useful methodology in order to validate constructs. In order to do so, the measurement controversy in the social science is presented; then, RMT is explained as a solution for this measurement issue; after that, the different applications of RMT are described and, finally, the different stages of the validation process are presented. Thus, this work aims to serve as a guide for those researchers interested in the methodology. Therefore, a specific case is included: the validation of the construct “motivation to implement continuous improvement”. </span></p>