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Background: Evaluating emotional experiences in the life of people with Schizophrenia Spectrum Disorder (SSD) is fundamental for developing interventions aimed at promoting well‐being in specific times and contexts. However, little is known about emotional variability in this population. In DiAPAson project, we evaluated between‐ and within‐person differences in emotional intensity, variability, and instability between people with SSD and healthy controls, and the association with psychiatric severity and levels of functioning. Methods: 102 individuals diagnosed with SSD (57 residential patients, 46 outpatients) and 112 healthy controls were thoroughly evaluated. Daily emotions were prospectively assessed with Experience Sampling Method eight times a day for a week. Statistical analyses included ANOVA, correlations, and generalized linear models. Results: Participants with SSD, and especially residential patients, had a higher intensity of negative emotions when compared to controls. Moreover, all people with SSD reported a greater between‐person‐variability of both positive and negative emotions and greater intra‐variability of negative emotions than healthy controls. In addition, the emotion variability in people with SSD does not follow a linear or quadratic trend but is more "chaotic" if compared to controls. Conclusions: Adequate assessments of positive and negative emotional experiences and their time course in people with SSD can assist mental health professionals with well‐being assessment, implementing targeted interventions through the identification of patterns, triggers, and potential predictors of emotional states. [ABSTRACT FROM AUTHOR]

Background: Recovery and human rights promotion for people with Schizophrenia Spectrum Disorders (SSDs) is fundamental to provide good care in Residential Facilities (RFs). However, there is a concern about rehabilitation ethos in RFs. This study aimed to investigate the care quality of Italian RFs, the quality of life (QoL) and care experience of residents with SSD. Methods: Fourty-eight RFs were assessed using a quality assessment tool (QuIRC-SA) and 161 residents with SSD were enrolled. Seventeen RFs provided high intensity rehabilitation (SRP1), 15 medium intensity (SRP2), and 16 medium-low level support (SRP3). Staff-rated tools measured psychiatric symptoms and psychosocial functioning; user-rated tools assessed QoL and satisfaction with services. RFs comparisons were made using ANOVA and Chi-squared. Results: Over two-thirds patients (41.5 y.o., SD 9.7) were male. Seventy-six were recruited from SRP1 services, 48 from SRP2, and 27 from SRP3. The lowest QuIRC-SA scoring was Recovery Based Practice (45.8%), and the highest was promotion of Human Rights (58.4%). SRP2 had the lowest QuIRC-SA ratings and SRP3 the highest. Residents had similar psychopathology (p = 0.140) and functioning (p = 0.537). SRP3 residents were more employed (18.9%) than SRP1 (7.9%) or SRP2 (2.2%) ones, and had less severe negative symptoms (p = 0.016) and better QoL (p = 0.020) than SRP2 residents. There were no differences in the RF therapeutic milieu and their satisfaction with care. Conclusions: Residents of the lowest supported RFs in Italy had less severe negative symptoms, better QoL and more employment than others. The lowest ratings for Recovery Based Practice across all RFs suggest more work is needed to improve recovery. [ABSTRACT FROM AUTHOR]

Objective: We aimed to predict antipsychotic prescription patterns for people with schizophrenia using machine learning (ML) algorithms. Methods: In a cross-sectional design, a sample of community mental health service users (SUs; n = 368) with a primary diagnosis of schizophrenia was randomly selected. Socio-demographic and clinical features, including the number, total dose, and route of administration of the antipsychotic treatment were recorded. Information about the number and the length of psychiatric hospitalization was retrieved. Ordinary Least Square (OLS) regression and ML algorithms (i.e., random forest [RF], supported vector machine, K-nearest neighborhood, and Naïve Bayes) were used to estimate the predictors of total antipsychotic dosage and prescription of antipsychotic polytherapy (APP). Results: The strongest predictor of the total dose was APP. The number of Community Mental Health Centers (CMHC) contacts was the most important predictor of APP and, with APP omitted, of dosage. Treatment with anticholinergics predicted APP, emphasizing the strong correlation between APP and higher antipsychotic dose. RF performed better than OLS regression and the other ML algorithms in predicting both antipsychotic dose (root square mean error = 0.70, R2 = 0.31) and APP (area under the receiving operator curve = 0.66, true positive rate = 0.41, and true negative rate = 0.78). Conclusion: APP is associated with the prescription of higher total doses of antipsychotics. Frequent attenders at CMHCs, and SUs recently hospitalized are often treated with APP and higher doses of antipsychotics. Future prospective studies incorporating standardized clinical assessments for both psychopathological severity and treatment efficacy are needed to confirm these findings. [ABSTRACT FROM AUTHOR]

Background: Schizophrenia spectrum disorders (SSD) are ranked among the leading causes of disabilities worldwide. Many people with SSD spend most of their daily time being inactive, and this is related to the severity of negative symptoms. Here, we present the 3-year DiAPAson project aimed at (1) evaluating the daily time use among patients with SSD living in Residential Facilities (RFs) compared to outpatients with SSD and to the general population (Study 1); (2) evaluating the quality of staff-patient relationships, its association with specific patient outcomes and the quality of care provided in RFs (Study 2); and (3) assessing daily activity patterns in residential patients, outpatients with SSD and healthy controls using real-time methodologies (Study 3). Methods: Study 1 will include 300 patients with SSD living in RFs and 300 outpatients; data obtained in these clinical populations will be compared with normative data obtained by the National Institute of Statistics (ISTAT) in the national survey on daily time use. Time use assessments will consist of daily diaries asking participants to retrospectively report time spent in different activities. In Study 2, a series of questionnaires will be administered to 300 residential patients (recruited for Study 1) to evaluate the quality of care and staff-patient relationships, level of well-being and burnout of RFs' staff, and quality of RFs using a European standardized questionnaire (QuIRC-SA). In Study 3, the daily time use will be evaluated in a subgroup of 50 residential patients, 50 outpatients and 50 healthy controls using the Experience Sampling Method approach (participants will complete a brief questionnaire -about time use, mood and perceived energy- on a smartphone 8 times a day for 1 week) to compare retrospective and real-time reports. Moreover, their level of physical activity, sleep patterns, and energy expenditure will be monitored through a multi-sensor device. Discussion: This project is highly innovative because it combines different types of assessments (i.e., retrospective and real-time reports; multi-sensor monitoring) to trace an accurate picture of daily time use and levels of physical activity that will help identify the best therapeutic options promoting daily activities and physical exercise in patients with SSD. Trial registration: ISRCTN registry ID ISRCTN21141466. [ABSTRACT FROM AUTHOR]

Objective: To assess the validity of DSM-III-R schizoaffective disorder, the authors explored the morbid risks for schizophrenia and major affective disorders in the first-degree relatives of patients with schizoaffective disorder and relevant other diagnoses. Method: In addition. to patients with DSM-III-R schizoaffective disorder, depressive type (N=21), the probands included patients with mood-incongruent psychotic depression (N=22), mood-congruent psychotic depression (N=19), non psychotic depression (N=2 7), or schizophrenia (N=28) and normal subjects (N=18). The patients were consecutively recruited from the outpatient facilities of a university psychiatry department; the normal subjects were students and nurses. All probands were directly interviewed, with the Schedule for Affective Disorders and Schizophrenia—Lifetime Version (SADS-L), by a psychiatrist blind to information about relatives. Consenting relatives were directly interviewed, with the SADS-L, by two psychiatrists blind to the probands' diagnoses. The direct interview was supplemented—or replaced, when an interview was not possible (24%)—by family history data from all available sources. Morbid risks in relatives were calculated according to the Weinberg method. Results: The relatives of the schizoaffective patients had almost the same risk for schizophrenia as the relatives of the schizophrenic patients. In the relatives of the patients with mood-incongruent psychotic depression, the morbid risk for major affective disorders was about one-half that of the relatives of the patients with mood-congruent psychotic depression and one-third that of the relatives of the patients with non psychotic depression, but these differences did not reach statistical significance. Conclusions: These results suggest that DSM-III-R schizoaffective disorder is close to schizophrenia and largely corresponds to mainly schizophrenic schizoaffective disorder in the Research Diagnostic Criteria, whereas DSM-III-R mood-incongruent psychotic depression is probably quite heterogeneous and should be studied further. [ABSTRACT FROM AUTHOR]

Patients with schizophrenia spectrum disorder (SSD) experience disrupted temporality on the immediate timescale. However, insufficient information is available for longer time frames, and the interaction of temporal perspectives with the clinical manifestations of SSD is unknown. We explored the association between unbalanced time perspectives and symptom severity. Thirty-seven Italian mental health services participating in the DiAPAson project recruited 620 patients with DSM-5 SSD (68 % males, mean age = 41.3 ± 9.5 years). Time perspective biases were measured using the Deviation from the Balanced Time Perspective-revisited (DBTP-r) indicator, based on Zimbardo Time Perspective Inventory (ZTPI) scores. Psychiatric symptoms were assessed using the Brief Psychiatric Rating Scale (BPRS) and Brief Negative Symptoms Scale (BNSS). Preliminary analyses examined the associations between ZTPI/DBTP-r and BPRS/BNSS total scores. In secondary analyses, we first tested the associations between the ZTPI/DBTP-r and BPRS/BNSS subscales and then compared ZTPI differences between patients with and without hallucinations, delusions, and conceptual disorganisation. Statistical significance was set at Holm-Bonferroni corrected p < 0.05. Low-to-moderate positive correlations were found between the DBTP-r and BPRS/BNSS total scores (r = 0.29/0.22). The strongest associations were between DBTP-r/ZTPI_Past-Negative and anxiety/depression (r = 0.34/0.36), followed by DBTP-r/ZTPI_Present-Fatalistic with thought disturbances (r = 0.22/0.20). DBTP-r was associated with BNSS anhedonia and avolition (r = 0.21/0.24). DBTP-r was higher in patients with hallucinations (ES = 0.391) and conceptual disorganisation (ES = 0.397) than in those without these symptoms. Unbalanced time perspective was positively associated with the severity of primary and secondary SSD features. These findings provide a rationale for empirical tests focused on balancing time perspectives in patients with SSD. [ABSTRACT FROM AUTHOR]

Time perspective (TP) influences various aspects of human life. We aimed to explore the associations between TP, daily time use, and levels of functioning among 620 patients (313 residential patients and 307 outpatients) with a diagnosis of Schizophrenia Spectrum Disorders (SSD) recruited from 37 different centres in Italy. The Brief Psychiatric Rating Scale and the Specific Levels of Functioning (SLOF) were used to assess psychiatric symptoms severity and levels of functioning. Daily time use was assessed using an ad hoc paper and pencil Time Use Survey. The Zimbardo Time Perspective Inventory (ZTPI) was used to assess TP. Deviation from Balanced Time Perspective (DBTP-r) was used as an indicator of temporal imbalance. Results showed that the amount of time spent on non-productive activities (NPA) was positively predicted by DBTP-r (Exp(β): 1.36; p.003), and negatively predicted by the Past-Positive (Exp(β): 0.80; p.022), Present-Hedonistic (Exp(β): 0.77; p.008), and Future (Exp(β): 0.78; p.012) subscales. DBTP-r significantly negatively predicted SLOF outcomes (p.002), and daily time use, in particular the amount of time spent in NPA and Productive Activities (PA), mediated their association. Results suggested that rehabilitative programs for individuals with SSD should consider fostering a balanced time perspective to reduce inactivity, increase physical activity, and promote healthy daily functioning and autonomy. [ABSTRACT FROM AUTHOR]

• Usability of actigraph and mobile ESM in patients and healthy controls was good (46/55). • Adherence was excellent for actigraph (91%) and good for mobile ESM (67%). • Usability of and adherence to actigraphy are negatively correlated. • Patients living in RFs are less adherent to actigraphy and mobile ESM than controls. • Residential patients may need support from healthcare staff in RFs. The application of innovative technologies in psychiatry is promising, but the debate about its feasibility is not settled. Our aim was to investigate and compare adherence to and usability of 7-day monitoring with an Experience Sampling Method (ESM) and Actigraphy among a sample of individuals with a diagnosis of Schizophrenia Spectrum Disorders (SSD) and paired healthy controls. Twenty-two patients living in residential facilities (RFs), 20 outpatients and 26 controls were enrolled in this study as part of the DiAPAson project. Participants wore an actigraph and were evaluated for daily time use and mood with a smartphone-based ESM. Then, they completed questionnaires to assess the usability of the devices and were interviewed. Adherence was assessed as the percentage of time spent wearing actigraph and answering ESM notifications. Residential patients, compared to controls, showed significantly higher usability of the actigraph and lower adherence to both the actigraph and ESM. From the qualitative interviews, four high-order themes emerged: effects of monitoring, adherence and usability, emotions and mental states, and advice. Findings are promising for the application of these methodologies in such populations. The role of multidisciplinary staff in RFs is crucial for guaranteeing the realization of such projects. [ABSTRACT FROM AUTHOR]