and considered in all phases of the project
(before/during/after implementation).
3) For a successful realization of acceptance
research within the project, qualitative and
quantitative methodological approaches have to be
combined. Thereby, interviews have been conducted
in particular at the beginning of the project to identify
wishes, attitudes, and needs of the involved
stakeholders. Further, qualitative approaches will be
applied to enable the involvement of older and frail
participants who are not able to take part in
quantitative surveys. Only on the basis of, and in
addition to, these qualitative analyses a holistic
quantification of the results using (online) surveys is
usefully realizable. Thereby, a combined usage of
qualitative and quantitative approaches enables the
inclusion of different stakeholders and their specific
characteristics.
4) As a last aspect, combining comparative and
summative acceptance analyses along the project
enables to identify changing acceptance parameters
over time (pre- / during / post-implementation).
Further, the empirical approach enables to identify
influencing characteristics of the stakeholders (e.g.,
age, gender, experience), which may also vary over
the different project phases.
Following this research agenda and considering a
social communication science perspective, the user-
centered investigations will contribute to a better
understanding of needs, requirements, and
technology acceptance patterns of partly vulnerable
stakeholders (in particular residents of nursing homes
and their caregivers). Only this way, an appropriate
medical, technical, or organizational adaption of
telemedical processes and infrastructure to the needs
of the respective user groups can be realized.
ACKNOWLEDGEMENTS
The authors thank all participants – residents and care
personnel of the different nursing homes – for their
patience and openness to share opinions on a novel
technology approach in healthcare. Furthermore, the
authors want to thank Anna Rohowsky for research
assistance. Beyond that, the authors thank the
Optimal@NRW research group. This work was
funded by the German joint federal committee
„Innovationsfond“ (grant number: 01NVF19015).
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