Laura Fusar-Poli, Fabio Panariello, Katherine Berry, Matteo Rocchetti, Letizia Casiraghi, Matteo Malvezzi, Fabrizio Starace, Manuel Zamparini, Cristina Zarbo, Giovanni de Girolamo, DiAPAson Consortium
{"title":"与居住在寄宿设施中的精神分裂症谱系障碍员工和患者结成工作联盟。","authors":"Laura Fusar-Poli, Fabio Panariello, Katherine Berry, Matteo Rocchetti, Letizia Casiraghi, Matteo Malvezzi, Fabrizio Starace, Manuel Zamparini, Cristina Zarbo, Giovanni de Girolamo, DiAPAson Consortium","doi":"10.1111/bjc.12450","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>Working Alliance (WA) is important in the care of patients with Schizophrenia Spectrum Disorders (SSD). This study aims to determine which sociodemographic and clinical factors are associated with WA, as assessed by patients and staff members in Residential Facilities (RFs), and may predict WA dyads' discrepancies.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Three hundred and three SSD patients and 165 healthcare workers were recruited from 98 RFs and characterized for sociodemographic features. WA was rated by the Working Alliance Inventory (WAI) for patients (WAI-P) and staff members (WAI-T). SSD patients were assessed for the severity of psychopathology and psychosocial functioning.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Pearson's correlation revealed a positive correlation (<i>ρ</i> = .314; <i>p</i> < .001) between WAI-P and WAI-T ratings. Linear regression showed that patients with higher education reported lower WAI-P ratings (<i>β</i> = −.50, <i>p</i> = .044), while not being engaged in work or study was associated with lower WAI-T scores (<i>β</i> = −4.17, <i>p</i> = .015). A shorter lifetime hospitalization was associated with higher WAI-P ratings (<i>β</i> = 5.90, <i>p</i> = .008), while higher psychopathology severity negatively predicted WAI-T (<i>β</i> = −.10, <i>p</i> = .002) and WAI-P ratings (<i>β</i> = −.19, <i>p</i> < .001). Better functioning level positively foresaw WAI-T (<i>β</i> = .14, <i>p</i> < .001) and WAI-P ratings (<i>β</i> = .12, <i>p</i> < .001). Regarding discrepancies, staff members' age was associated with higher dyads discrepancy in Total scale and Agreement subscale scores, which were also associated with more severe negative symptoms, while patients' age was negatively correlated to Relationship subscale discrepancy.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>This study provides insight into the factors that influence WA in SSD patients and health workers in RFs. The findings address interventions to improve WA and ultimately patient outcomes.</p>\n </section>\n </div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12450","citationCount":"0","resultStr":"{\"title\":\"Working alliance in treating staff and patients with Schizophrenia Spectrum Disorder living in Residential Facilities\",\"authors\":\"Laura Fusar-Poli, Fabio Panariello, Katherine Berry, Matteo Rocchetti, Letizia Casiraghi, Matteo Malvezzi, Fabrizio Starace, Manuel Zamparini, Cristina Zarbo, Giovanni de Girolamo, DiAPAson Consortium\",\"doi\":\"10.1111/bjc.12450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>Working Alliance (WA) is important in the care of patients with Schizophrenia Spectrum Disorders (SSD). This study aims to determine which sociodemographic and clinical factors are associated with WA, as assessed by patients and staff members in Residential Facilities (RFs), and may predict WA dyads' discrepancies.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Three hundred and three SSD patients and 165 healthcare workers were recruited from 98 RFs and characterized for sociodemographic features. WA was rated by the Working Alliance Inventory (WAI) for patients (WAI-P) and staff members (WAI-T). SSD patients were assessed for the severity of psychopathology and psychosocial functioning.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Pearson's correlation revealed a positive correlation (<i>ρ</i> = .314; <i>p</i> < .001) between WAI-P and WAI-T ratings. Linear regression showed that patients with higher education reported lower WAI-P ratings (<i>β</i> = −.50, <i>p</i> = .044), while not being engaged in work or study was associated with lower WAI-T scores (<i>β</i> = −4.17, <i>p</i> = .015). A shorter lifetime hospitalization was associated with higher WAI-P ratings (<i>β</i> = 5.90, <i>p</i> = .008), while higher psychopathology severity negatively predicted WAI-T (<i>β</i> = −.10, <i>p</i> = .002) and WAI-P ratings (<i>β</i> = −.19, <i>p</i> < .001). Better functioning level positively foresaw WAI-T (<i>β</i> = .14, <i>p</i> < .001) and WAI-P ratings (<i>β</i> = .12, <i>p</i> < .001). Regarding discrepancies, staff members' age was associated with higher dyads discrepancy in Total scale and Agreement subscale scores, which were also associated with more severe negative symptoms, while patients' age was negatively correlated to Relationship subscale discrepancy.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>This study provides insight into the factors that influence WA in SSD patients and health workers in RFs. The findings address interventions to improve WA and ultimately patient outcomes.</p>\\n </section>\\n </div>\",\"PeriodicalId\":3,\"journal\":{\"name\":\"ACS Applied Electronic Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2023-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12450\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Electronic Materials\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/bjc.12450\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/bjc.12450","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Working alliance in treating staff and patients with Schizophrenia Spectrum Disorder living in Residential Facilities
Objectives
Working Alliance (WA) is important in the care of patients with Schizophrenia Spectrum Disorders (SSD). This study aims to determine which sociodemographic and clinical factors are associated with WA, as assessed by patients and staff members in Residential Facilities (RFs), and may predict WA dyads' discrepancies.
Methods
Three hundred and three SSD patients and 165 healthcare workers were recruited from 98 RFs and characterized for sociodemographic features. WA was rated by the Working Alliance Inventory (WAI) for patients (WAI-P) and staff members (WAI-T). SSD patients were assessed for the severity of psychopathology and psychosocial functioning.
Results
Pearson's correlation revealed a positive correlation (ρ = .314; p < .001) between WAI-P and WAI-T ratings. Linear regression showed that patients with higher education reported lower WAI-P ratings (β = −.50, p = .044), while not being engaged in work or study was associated with lower WAI-T scores (β = −4.17, p = .015). A shorter lifetime hospitalization was associated with higher WAI-P ratings (β = 5.90, p = .008), while higher psychopathology severity negatively predicted WAI-T (β = −.10, p = .002) and WAI-P ratings (β = −.19, p < .001). Better functioning level positively foresaw WAI-T (β = .14, p < .001) and WAI-P ratings (β = .12, p < .001). Regarding discrepancies, staff members' age was associated with higher dyads discrepancy in Total scale and Agreement subscale scores, which were also associated with more severe negative symptoms, while patients' age was negatively correlated to Relationship subscale discrepancy.
Conclusions
This study provides insight into the factors that influence WA in SSD patients and health workers in RFs. The findings address interventions to improve WA and ultimately patient outcomes.