Identifying Factors of User Acceptance of a Drone-Based Medication Delivery: User-Centered Design Approach.


Journal

JMIR human factors
ISSN: 2292-9495
Titre abrégé: JMIR Hum Factors
Pays: Canada
ID NLM: 101666561

Informations de publication

Date de publication:
30 Apr 2024
Historique:
received: 04 08 2023
accepted: 06 01 2024
revised: 21 12 2023
medline: 30 4 2024
pubmed: 30 4 2024
entrez: 30 4 2024
Statut: epublish

Résumé

The use of drones in the health care sector is increasingly being discussed against the background of the aging population and the growing shortage of skilled workers. In particular, the use of drones to provide medication in rural areas could bring advantages for the care of people with and without a need for care. However, there are hardly any data available that focus on the interaction between humans and drones. This study aims to disclose and analyze factors associated with user acceptance of drone-based medication delivery to derive practice-relevant guidance points for participatory technology development (for apps and drones). A controlled mixed methods study was conducted that supports the technical development process of an app design for drone-assisted drug delivery based on a participatory research design. For the quantitative analysis, established and standardized survey instruments to capture technology acceptance, such as the System Usability Scale; Technology Usage Inventory (TUI); and the Motivation, Engagement, and Thriving in User Experience model, were used. To avoid possible biasing effects from a continuous user development (eg, response shifts and learning effects), an ad hoc group was formed at each of the 3 iterative development steps and was subsequently compared with the consisting core group, which went through all 3 iterations. The study found a positive correlation between the usability of a pharmacy drone app and participants' willingness to use it (r=0.833). Participants' perception of usefulness positively influenced their willingness to use the app (r=0.487; TUI). Skepticism had a negative impact on perceived usability and willingness to use it (r=-0.542; System Usability Scale and r=-0.446; TUI). The study found that usefulness, skepticism, and curiosity explained most of the intention to use the app (F With the help of the participatory design, important aspects of acceptance could be revealed by the people involved in relation to drone-assisted drug delivery. For example, the length of time spent using the technology is an important factor for the intention to use the app. Technology-specific factors such as user-friendliness or curiosity are directly related to the use acceptance of the drone app. Results of this study showed that the more participants perceived their own competence in handling the app, the more they were willing to use the technology and the more they rated the app as usable.

Sections du résumé

BACKGROUND BACKGROUND
The use of drones in the health care sector is increasingly being discussed against the background of the aging population and the growing shortage of skilled workers. In particular, the use of drones to provide medication in rural areas could bring advantages for the care of people with and without a need for care. However, there are hardly any data available that focus on the interaction between humans and drones.
OBJECTIVE OBJECTIVE
This study aims to disclose and analyze factors associated with user acceptance of drone-based medication delivery to derive practice-relevant guidance points for participatory technology development (for apps and drones).
METHODS METHODS
A controlled mixed methods study was conducted that supports the technical development process of an app design for drone-assisted drug delivery based on a participatory research design. For the quantitative analysis, established and standardized survey instruments to capture technology acceptance, such as the System Usability Scale; Technology Usage Inventory (TUI); and the Motivation, Engagement, and Thriving in User Experience model, were used. To avoid possible biasing effects from a continuous user development (eg, response shifts and learning effects), an ad hoc group was formed at each of the 3 iterative development steps and was subsequently compared with the consisting core group, which went through all 3 iterations.
RESULTS RESULTS
The study found a positive correlation between the usability of a pharmacy drone app and participants' willingness to use it (r=0.833). Participants' perception of usefulness positively influenced their willingness to use the app (r=0.487; TUI). Skepticism had a negative impact on perceived usability and willingness to use it (r=-0.542; System Usability Scale and r=-0.446; TUI). The study found that usefulness, skepticism, and curiosity explained most of the intention to use the app (F
CONCLUSIONS CONCLUSIONS
With the help of the participatory design, important aspects of acceptance could be revealed by the people involved in relation to drone-assisted drug delivery. For example, the length of time spent using the technology is an important factor for the intention to use the app. Technology-specific factors such as user-friendliness or curiosity are directly related to the use acceptance of the drone app. Results of this study showed that the more participants perceived their own competence in handling the app, the more they were willing to use the technology and the more they rated the app as usable.

Identifiants

pubmed: 38687589
pii: v11i1e51587
doi: 10.2196/51587
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e51587

Informations de copyright

©Franziska Fink, Ivonne Kalter, Jenny-Victoria Steindorff, Hans Konrad Helmbold, Denny Paulicke, Patrick Jahn. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 30.04.2024.

Auteurs

Franziska Fink (F)

Translation Region for Digitalised Healthcare, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.

Ivonne Kalter (I)

Translation Region for Digitalised Healthcare, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.

Jenny-Victoria Steindorff (JV)

Translation Region for Digitalised Healthcare, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.

Hans Konrad Helmbold (HK)

Department of Economics, Anhalt University of Applied Sciences, Bernburg, Germany.

Denny Paulicke (D)

Translation Region for Digitalised Healthcare, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Department of Medical Pedagogy, Akkon University of Human Sciences, Berlin, Germany.

Patrick Jahn (P)

Translation Region for Digitalised Healthcare, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Health Service Research Working Group | Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.

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