Concept of a Simple Reaction Test for eHealth-Based Opioid Response Assessment in Palliative Care

Fidorra J, Nissen M, Abdullahi Yari I, Ostgathe C, Steigleder T, Eskofier B (2022)

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2022

Event location: Online

URI: https://journals.sagepub.com/doi/10.1177/02692163221093145

Open Access Link: https://journals.sagepub.com/doi/10.1177/02692163221093145

Abstract

Background/aims: Opioids are often used to reduce symptom burden in palliative care. To allow for maximum therapeutic effect and minimal adverse effects (AE), AE have to be monitored. One side effect of opioids is a reduction in cognitive function. Various aspects of cognitive function can be assessed by tests and questionnaires, such as the confusion assessment method (CAM) or Nine Hole Peg Test. All tests are time-consuming and need to be conducted by health care professionals. We aim to develop a simple smartphone-based reaction test as eHealth application in palliative care. Here, we present initial results of healthy participants which serve as baseline for future work.

Methods: We implemented a simple reaction test as smartphone application: Users are tasked with pressing the screen when the color of the display changes. The reaction time (RT) between the color change and the press of the display is recorded. A field study with 15 healthy young participants was conducted. One RT test consists of four color changes. Each participant performed ten tests. Additional metrics were assessed by a questionnaire (sex, fatigue, work activity, previous experience with the application).

Results: Average reaction time was 391.81 ± 49.26 ms across all individuals. Fatigue did not have an impact on reaction time. Average intraindividual deviation was significantly different between first time (35.91 ± 10.53 ms) and experienced (18.75 ± 3.45 ms) users.

Conclusions: We developed a fast, simple and digital reaction test. The reaction test average stayed constant for all groups. Intraindividual reaction time deviation may serve as a boundary to determine an unusual decrease in cognitive processing time (CPT). We aim to assess the influence of factors like medication on a more heterogeneous as well as patient population in the future. This allows us to determine whether our test pipeline is able to reliably detect CPT decrease.

Authors with CRIS profile

Michael Nissen Machine Learning and Data Analytics Lab Imrana Abdullahi Yari Machine Learning and Data Analytics Lab Christoph Ostgathe Professur für Palliativmedizin Tobias Steigleder Department of Palliative Medicine Björn Eskofier Machine Learning and Data Analytics Lab

How to cite

APA:

Fidorra, J., Nissen, M., Abdullahi Yari, I., Ostgathe, C., Steigleder, T., & Eskofier, B. (2022). Concept of a Simple Reaction Test for eHealth-Based Opioid Response Assessment in Palliative Care. Poster presentation at 12th World Research Congress of the European Association for Palliative Care, Online.

MLA:

Fidorra, Jacob, et al. "Concept of a Simple Reaction Test for eHealth-Based Opioid Response Assessment in Palliative Care." Presented at 12th World Research Congress of the European Association for Palliative Care, Online 2022.

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