The speech, language and communication needs of rough sleepers in London

作者: Leigh Andrews , Nicola Botting

DOI: 10.1111/1460-6984.12572

关键词:

摘要: BACKGROUND There is very little awareness of the speech, language and communication needs (SLCN) rough sleepers. The small amount documentation that does exist involves a wider group homeless adults (not just sleepers), reports are an area concern. AIMS To investigate: (1) reported prevalence SLCN amongst UK nationals recorded on Combined Homeless Information Network (CHAIN) as sleeping streets London; (2) whether sleepers with differ from those without; (3) what factors best predict patterns accommodation stays. METHODS & PROCEDURES A data set 513 participants was provided by CHAIN, which contained information relating to all new people long-term histories (UK only) street outreach teams in London between 1 April 30 June 2013. Also included about support Homelessness Brain Injury Project. including basic demographics, skills, health social care needs, institutional background extended 5-year period. OUTCOMES RESULTS were often not available for only 62% individuals CHAIN databases. However, data, significantly higher than general population (17.1%; p < 0.001). no significant differences without additional risk factors, quarters sleeping, stays or staff-recorded alerts. positive correlation (r = 0.32, 0.001) 0.25, Regression analysis indicated more predictive explaining number CONCLUSIONS IMPLICATIONS highly prevalent greater population. clearly related behaviour, but presence this regard. organizations should provide training staff order promote better recording SLCN, inclusive appropriate who homeless. Further research also needed understand What study adds already known subject literature concerning sleepers, exists suggests relatively practice field. paper existing knowledge This first It large-scale showing group. Unexpectedly, did relate accommodation, may be due crude routine practice. potential actual clinical implications work? Wider homelessness sector coupled systematic objective assessment

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