EPI@LUND, Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, 221 80, Lund, Sweden.
Department of Health Sciences, Faculty of Medicine, Lund University, 221 00, Lund, Sweden.
Soc Psychiatry Psychiatr Epidemiol. 2019 Aug;54(8):937-944. doi: 10.1007/s00127-019-01695-w. Epub 2019 Mar 22.
To describe demographic and diagnostic profiles in a national cohort of older people with intellectual disability (ID) who were prescribed antipsychotics.
Using national registers, we identified people with ID who were 55 + years in 2012 (n = 7936), as well as a subcohort with complete information on demographic factors (sex, year of birth, severity of ID, presence of behavior impairment, and residence in special housing; n = 1151). Data regarding diagnoses and prescription of antipsychotics were added for the time period 2006-2012. The potential effects of demographic factors and diagnoses on the prescription of sedating and less-sedating antipsychotics, respectively, were assessed in separate models by estimating the relative risks (RRs) of prescription.
Of the demographic factors, severe/profound ID (RR 1.17), behavior impairment (RR 1.34), and living in special housing (RR 1.25) were associated with prescription of sedating antipsychotics, whereas only behavior impairment (RR 1.42) was associated with prescription of less-sedating antipsychotics. For both sedating and less-sedating antipsychotics, the diagnoses with the largest association (i.e., highest relative risk) were schizophrenia (RR 2.17 for sedating and RR 1.81 for less-sedating) and ID (RR 1.84 and RR 1.68, respectively), followed by disorders of psychological development (for sedating antipsychotics, RR 1.57) and organic mental disorders (for less-sedating antipsychotics, RR 1.55).
The associations between prescription of antipsychotics and demographic factors and non-psychotic diagnoses, respectively, suggest that older people with ID may be prescribed antipsychotic medication without thorough psychiatric diagnosing. If so, there is a need for improving the abilities of health care professionals to properly diagnose and manage psychiatric illness in this population.
描述在接受抗精神病药物治疗的老年智障人士(ID)的全国队列中,人口统计学和诊断特征。
利用国家登记册,我们确定了 2012 年年龄在 55 岁及以上的 ID 患者(n=7936),以及一个在人口统计学因素(性别、出生年份、ID 严重程度、是否存在行为障碍、以及是否居住在特殊住所)方面具有完整信息的子队列(n=1151)。在 2006-2012 年期间,添加了关于诊断和抗精神病药物处方的数据。通过估计处方的相对风险(RR),分别在单独的模型中评估人口统计学因素和诊断对处方镇静和非镇静抗精神病药物的潜在影响。
在人口统计学因素中,严重/重度 ID(RR 1.17)、行为障碍(RR 1.34)和居住在特殊住所(RR 1.25)与镇静抗精神病药物的处方相关,而仅行为障碍(RR 1.42)与非镇静抗精神病药物的处方相关。对于镇静和非镇静抗精神病药物,关联最大的诊断(即最高相对风险)分别为精神分裂症(镇静 RR 2.17 和非镇静 RR 1.81)和 ID(镇静 RR 1.84 和非镇静 RR 1.68),其次是心理发育障碍(镇静抗精神病药物 RR 1.57)和器质性精神障碍(非镇静抗精神病药物 RR 1.55)。
抗精神病药物处方与人口统计学因素和非精神病诊断之间的关联分别表明,智障老年人可能在未经彻底精神诊断的情况下开抗精神病药物。如果是这样,就需要提高医疗保健专业人员的能力,以便在该人群中正确诊断和管理精神疾病。