Qualitative analysis is considered a crucial element in order to adequately assess AHA-IoT services’ sustainability. Indeed, qualitative approaches have the capacity to detect those features that may not be detected through quantitative approaches. In the ACTIVAGE LSP Protocol, qualitative analysis is deeply intertwined to Users’ acceptance and Cost Effectiveness evaluation. It does not conflict with Quantitative analysis but corroborates those results and completes them.
In order to accomplish with qualitative analysis, the silvertechs methodology, adequately modified to accomplish to ACTIVAGE goals, is implemented. According to the qualitative implemented methodology, visits to each DS were scheduled in order to get a proper “face-to-face” interaction and to catch those shades may be lost during remote meetings and from Quantitative assessment.
The visits are designed as a tailor-made answer to a structural challenge faced by large-scale multi-centric pilot evaluation protocol: how to deal with a high level of results ‘heterogeneity, due to differences between solutions tested in different DSs, differences between the cohorts, cultural bias, social, legal and ethical issues at local level. In other words, how can be merged in a meaningful way results from very different pilots?
In this perspective, the visits correspond to an attempt to identify “areas for more elaborates investigations” and to be able to provide additional results with respect to local specificities and the complexity of each ecosystem in order to ease the AHA-IoT services replication and scaling-up.
Visits aim at identifying and refining new evaluation items that will help us to mine the results stored in the Glocal Matrix. Those items include partners and participants’ motivations, information related to unexpected opportunities and obstacles met at the DS scale, unexpected differences and similarities between DS in order to smooth the services replication and scaling-up process.
Visits to each DS last 2 or 3 days. During the visits, experts with mixed expertise (PhD in Sociology, PhD in Political Sciences) meet and interview:
- DS partners
- Elderly; Professional and/or informal caregivers
 silvertechs methodology, one can refer to L’avenir des Silver Tech, conception, usage et évaluation, Hervé Michel, Hélène Prevot Huille, Robert Picard, Dominique Letourneau, Presses de l’EHESP, 2018.
 10 new socio-economic evaluation tools have been identified through the visits ; one can find them listed here, distributed in the Glocal Boxes. Box 1: Impact on QuoL: Carer VS distant near, Box 3: Organisation of Care, Distance to care and caregivers, Box 4: Economics, Population density, Ratio working population / Aged population, Consortium modelization, Box 5: Acceptability, Level of trust, Previous collaborations, Box 6: Sustainability : Politics (impact of poles on the BM), Box 7: ELSI : Status of the equipped person, Box 8: Technical reliability : Perceived reliability and cohort’s resilience.