Francesco Amaddeo

Prof. Francesco Amaddeo


Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2012 in Psychiatry Research
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Journal Article
Closed access
ARAlberto Rossi
Alberto Rossi
GCGaia Cetrano
Gaia Cetrano
RPRiccardo Pertile
Riccardo Pertile
LRLaura Rabbi
Laura Rabbi
VDValeria Donisi
Valeria Donisi
FAFrancesco Amaddeo
Francesco Amaddeo

16 December 2016 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
Valeria DonisiValeria Donisi
Valeria Donisi
FTFederico Tedeschi
Federico Tedeschi
KWKristian Wahlbeck
Kristian Wahlbeck
PHP. Haaramo
P. Haaramo
FAFrancesco Amaddeo
Francesco Amaddeo
Readmission rate is considered an indicator of the mental health care quality. Previous studies have examined a number of factors that are likely to influence readmission. The main objective of this systematic review is to identify the studied pre-discharge variables and describe their relevance to readmission among psychiatric patients. Studies on the association between pre-discharge variables and readmission after discharge with a main psychiatric diagnosis were searched in the bibliographic databases Ovid Medline, PsycINFO, ProQuest Health Management and OpenGrey. Relevant publications published between January 1990 and June 2014 were included. For each variable, the number of papers that considered it as a predictor of readmission and that found a significant association was recorded, together with the association direction and whether it was found respectively in bivariate and in multivariate analyses. Of the 734 articles identified in the search, 58 papers were included in this review, mainly from the USA and concerning patients with severe mental disorders. Analysed variables were classified according to the following categories: patients’ demographic, social and economic characteristics; patients’ clinical characteristics; patients’ clinical history; patients’ attitude and perception; environmental, social and hospital characteristics; and admission and discharge characteristics. The most consistently significant predictor of readmission was previous hospitalisations. Many socio-demographic variables resulted as influencing readmission, but the results were not always homogeneous. Among other patients’ clinical characteristics, diagnosis and measures of functional status were the most often used variables. Among admission characteristics, length of stay was the main factor studied; however, the results were not very consistent. Other relevant aspects resulted associated with readmission, including the presence of social support, but they have been considered only in few papers. Results of quality assessment are also reported in the review. The majority of papers were not representative of the general psychiatric population discharged from an inpatient service. Almost all studies used multivariate analytical methods, i.e., confounders were controlled for, but only around 60% adjusted for previous hospitalisation, the variable most consistently considered associated to readmission in the literature. The results contribute to increase knowledge on pre-discharge factors that could be considered by researchers as well as by clinicians to predict and prevent readmissions of psychiatric patients. Associations are not always straightforward and interactions between factors have to be considered.

1 January 2002 in Acta Psychiatrica Scandinavica
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Journal Article
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MKMartin Knapp
Martin Knapp
DCDaniel Chisholm
Daniel Chisholm
MLMorven Leese
Morven Leese
FAFrancesco Amaddeo
Francesco Amaddeo
MTMichele Tansella
Michele Tansella
EGEPSILON Study Group
EPSILON Study Group

1 October 2001 in Social Psychiatry and Psychiatric Epidemiology
Verified
Journal Article
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PDF file
FAFrancesco Amaddeo
Francesco Amaddeo
FZF. Zambello
F. Zambello
MTM. Tansella
M. Tansella
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21 November 2017 in BMC Health Services Research
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Journal Article
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GCGaia Cetrano
Gaia Cetrano
FTFederico Tedeschi
Federico Tedeschi
LRLaura Rabbi
Laura Rabbi
GGGiorgio Gosetti
Giorgio Gosetti
ALAntonio Lora
Antonio Lora
FAFrancesco Amaddeo
Francesco Amaddeo
Quality of working life includes elements such as autonomy, trust, ergonomics, participation, job complexity, and work-life balance. The overarching aim of this study was to investigate if and how quality of working life affects Compassion Fatigue, Burnout, and Compassion Satisfaction among mental health practitioners. Staff working in three Italian Mental Health Departments completed the Professional Quality of Life Scale, measuring Compassion Fatigue, Burnout, and Compassion Satisfaction, and the Quality of Working Life Questionnaire. The latter was used to collect socio-demographics, occupational characteristics and 13 indicators of quality of working life. Multiple regressions controlling for other variables were undertaken to predict Compassion Fatigue, Burnout, and Compassion Satisfaction. Four hundred questionnaires were completed. In bivariate analyses, experiencing more ergonomic problems, perceiving risks for the future, a higher impact of work on life, and lower levels of trust and of perceived quality of meetings were associated with poorer outcomes. Multivariate analysis showed that (a) ergonomic problems and impact of work on life predicted higher levels of both Compassion Fatigue and Burnout; (b) impact of life on work was associated with Compassion Fatigue and lower levels of trust and perceiving more risks for the future with Burnout only; (c) perceived quality of meetings, need of training, and perceiving no risks for the future predicted higher levels of Compassion Satisfaction. In order to provide adequate mental health services, service providers need to give their employees adequate ergonomic conditions, giving special attention to time pressures. Building trustful relationships with management and within the teams is also crucial. Training and meetings are other important targets for potential improvement. Additionally, insecurity about the future should be addressed as it can affect both Burnout and Compassion Satisfaction. Finally, strategies to reduce possible work-life conflicts need to be considered.

18 September 2017 in Epidemiology and Psychiatric Sciences
Verified
Journal Article
Open access
Mencía R. Gutiérrez-ColosíaMencía R. Gutiérrez-Colosía
Mencía R. Gutiérrez-Colosía
LSLuis Salvador-Carulla
Luis Salvador-Carulla
JSJose Alberto Salinas-Perez
Jose Alberto Salinas-Perez
CGC. R. García-Alonso
C. R. García-Alonso
JCJ. Cid
J. Cid
FGFor the REFINEMENT Group
For the REFINEMENT Group
Aims.: There is a need of more quantitative standardised data to compare local Mental Health Systems (MHSs) across international jurisdictions. Problems related to terminological variability and commensurability in the evaluation of services hamper like-with-like comparisons and hinder the development of work in this area. This study was aimed to provide standard assessment and comparison of MHS in selected local areas in Europe, contributing to a better understanding of MHS and related allocation of resources at local level and to lessen the scarcity in standard service comparison in Europe. This study is part of the Seventh Framework programme REFINEMENT (Research on Financing Systems’ Effect on the Quality of Mental Health Care in Europe) project.Methods.: A total of eight study areas from European countries with different systems of care (Austria, England, Finland, France, Italy, Norway, Romania, Spain) were analysed using a standard open-access classification system (Description and Evaluation of Services for Long Term Care in Europe, DESDE-LTC). All publicly funded services universally accessible to adults (≥18 years) with a psychiatric disorder were coded. Care availability, diversity and capacity were compared across these eight local MHS.Results.: The comparison of MHS revealed more community-oriented delivery systems in the areas of England (Hampshire) and Southern European countries (Verona – Italy and Girona – Spain). Community-oriented systems with a higher proportion of hospital care were identified in Austria (Industrieviertel) and Scandinavian countries (Sør-Trøndelag in Norway and Helsinki-Uusimaa in Finland), while Loiret (France) was considered as a predominantly hospital-based system. The MHS in Suceava (Romania) was still in transition to community care.Conclusions.: There is a significant variation in care availability and capacity across MHS of local areas in Europe. This information is relevant for understanding the process of implementation of community-oriented mental health care in local areas. Standard comparison of care provision in local areas is important for context analysis and policy planning.