Patrick Keown, MRCPsych, Academic Psychiatry, Campus for Ageing & Vitality, Newcastle University, Newcastle upon Tyne; Orla McBride, PhD, School of Psychology, University of Ulster, County Londonderry, Ulster; Liz Twigg, PhD, Department of Geography, University of Portsmouth, Portsmouth; David Crepaz-Keay, DProf, Mental Health Foundation, London; Eva Cyhlarova, DPhil, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford; Helen Parsons, PhD, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry; Jan Scott, MD, Academic Psychiatry, Campus for Ageing & Vitality, Newcastle University, Newcastle upon Tyne; Kamaldeep Bhui, MD, Centre for Psychiatry, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London; Scott Weich, MD, Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
Patrick Keown, MRCPsych, Academic Psychiatry, Campus for Ageing & Vitality, Newcastle University, Newcastle upon Tyne; Orla McBride, PhD, School of Psychology, University of Ulster, County Londonderry, Ulster; Liz Twigg, PhD, Department of Geography, University of Portsmouth, Portsmouth; David Crepaz-Keay, DProf, Mental Health Foundation, London; Eva Cyhlarova, DPhil, Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford; Helen Parsons, PhD, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry; Jan Scott, MD, Academic Psychiatry, Campus for Ageing & Vitality, Newcastle University, Newcastle upon Tyne; Kamaldeep Bhui, MD, Centre for Psychiatry, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London; Scott Weich, MD, Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK.
Br J Psychiatry. 2016 Aug;209(2):157-61. doi: 10.1192/bjp.bp.115.171009. Epub 2016 Jun 9.
Individual variables and area-level variables have been identified as explaining much of the variance in rates of compulsory in-patient treatment.
To describe rates of voluntary and compulsory psychiatric in-patient treatment in rural and urban settings in England, and to explore the associations with age, ethnicity and deprivation.
Secondary analysis of 2010/11 data from the Mental Health Minimum Dataset.
Areas with higher levels of deprivation had increased rates of in-patient treatment. Areas with high proportions of adults aged 20-39 years had the highest rates of compulsory in-patient treatment as well as the lowest rates of voluntary in-patient treatment. Urban settings had higher rates of compulsory in-patient treatment and ethnic density was associated with compulsory treatment in these areas. After adjusting for age, deprivation and urban/rural setting, the association between ethnicity and compulsory treatment was not statistically significant.
Age structure of the adult population and ethnic density along with higher levels of deprivation can account for the markedly higher rates of compulsory in-patient treatment in urban areas.
个体变量和区域变量已被确定为解释强制住院治疗率差异的主要因素。
描述英格兰农村和城市环境中自愿和强制精神科住院治疗的比率,并探讨其与年龄、种族和贫困的关系。
对 2010/11 年心理健康最小数据集的二次分析。
贫困程度较高的地区住院治疗率较高。20-39 岁成年人比例较高的地区,强制住院治疗率最高,自愿住院治疗率最低。城市地区的强制住院治疗率较高,种族密度与这些地区的强制治疗有关。调整年龄、贫困程度和城乡环境后,种族与强制治疗之间的关联没有统计学意义。
成年人口的年龄结构、种族密度以及较高的贫困程度可以解释城市地区强制住院治疗率明显较高的原因。