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Mental health interventions for Italian prisoners with mental disorders remain a problematic issue, despite radical changes in general psychiatric care and a 2008 major government reform transferring mental health care in prison to the National Health Service. The aim of this study is to describe the mental health intervention model implemented since January 2020 for prisoners allocated in the Parma Penitentiary Institutes (PPI). This approach is specifically based on specialized, “person-centered” and “person-tailored” therapeutic-rehabilitation plans in line with psychiatric treatments usually provided in community mental health-care centers of the Parma Department of Mental Health.

All the processes and procedures included in the PPI intervention model were first carefully illustrated, paying special attention to the service for newly admitted prisoners and each typology of specialized therapeutic-rehabilitation treatment potentially provided. Additionally, a preliminary descriptive process analysis of the first six months of clinical activity was also performed.

Since January 2020, 178 individuals entered the PPI service for newly admitted prisoners. In total, 83 (46.7%) of them were engaged in the services of the PPI mental health-care team (35 with pathological addiction and 48 with mental disorders): 56 prisoners were offered an integrated mental health intervention and 27 exclusively an individual psychological or psychiatric treatment.

The results support the potential applicability of an integrated mental health intervention in prison, planning a person-tailored rehabilitation in close collaboration with the prisoners, their families and the local mental health/social services.

The purpose of this paper is to investigate the experience of visitors to UK markets by analysing their Tripadvisor reviews to identify perceived experiential dimensions with a view to informing actions by those responsible for market management to provide a better consumer experience.

This research analysed 41,071 Tripadvisor reviews of 61 UK markets. A latent Dirichlet allocation machine learning algorithm was conducted to identify the experience dimensions of visitors. A text analysis was performed to indicate salience and valence of commonly used words.

Five dimensions of experience are identified: atmosphere, merchandise, local variety, food and disappointment, together with the underlying factors that drive positive experience.

Place and market managers should assess and position their market informed by diverse experiential dimensions. They should also improve and enhance the experience of visitors according to the underlying factors of each dimension.

Retail markets have historically played an important role in the development of urban places. However, the ability to continue performing this role requires a greater understanding of how markets are perceived by those who use them. One way to achieve this is to use emergent technologies to inform decision-making by those responsible for their management. It demonstrates the potential of a new analytical technique using digital technologies to improve one of the oldest forms of retailing.