Bantry White Eleanor, Montgomery Paul
a School of Applied Social Studies , University College Cork , Cork , Ireland.
Aging Ment Health. 2015;19(3):224-30. doi: 10.1080/13607863.2014.924091. Epub 2014 Jun 10.
To estimate incidence, identify consequences and potential risk factors for harm in people with dementia who got lost in one UK policing region.
In a retrospective observational study, data were extracted from missing-person records over a four-year period in one UK policing region (population of 2.1 million).
Two hundred and eighty-one incidents of getting lost were identified. Incidence of getting lost was estimated at 0.5% of the regional dementia population. Fifty-nine percent of reports came from domestic settings, 29% from care homes/hospitals, and 12% on excursions from home. Five percent (n = 15) sustained significant harm, including two deaths. Average age was 78 years (SD 8.3). Harm was associated with older age (mean difference 6.16 years, CI 1.86 to 10.46, p = 0.005, t = 2.82), length of time missing (Mdn time 2.48 hours; IQR 0.97 to 9.45, p = 0.02), and season (9% winter, 2% summer, p = 0.006). The length of time missing increased with delays in reporting to police (r = 0.15, p = 0.018), getting lost at night (Mdn time 1.70 hours, IQR 0.52-3.32, p = 0.028), driving themselves (Mdn time 2.45 hours, IQR 0.42-2.00, p = 0.001), and using public transport (Mdn 1.78 hours, IQR 1.07-3.92, p = 0.001).
Incidence in this study suggests getting lost is a low-frequency event for people with dementia but for a small minority, the risks are considerable. Exploratory analyses suggest individual and environmental factors increase the risk of harm. Suitable methods need to be developed to replicate these findings in larger prospective samples. A focus on the predictors of harm may aid development of assessment protocols to ensure intervention is proportionate.
评估英国一个警务辖区内失智症患者走失的发生率,确定其后果及潜在危险因素。
在一项回顾性观察研究中,从英国一个警务辖区(人口210万)四年期间的失踪人员记录中提取数据。
共识别出281起走失事件。走失发生率估计为该辖区失智症患者人口的0.5%。59%的报告来自家庭环境,29%来自养老院/医院,12%来自离家外出。5%(n = 15)受到严重伤害,包括两起死亡。平均年龄为78岁(标准差8.3)。伤害与年龄较大(平均差异6.16岁,可信区间1.86至10.46,p = 0.005,t = 2.82)、失踪时间长度(中位数时间2.48小时;四分位间距0.97至9.45,p = 0.02)和季节(9%发生在冬季,2%发生在夏季,p = 0.006)有关。失踪时间长度随向警方报案延迟(r = 0.15,p = 0.018)、夜间走失(中位数时间1.70小时,四分位间距0.52 - 3.32,p = 0.028)、自行驾车(中位数时间2.45小时,四分位间距0.42 - 2.00,p = 0.001)以及使用公共交通工具(中位数1.78小时,四分位间距1.07 - 3.92,p = 0.001)而增加。
本研究中的发生率表明,走失对失智症患者来说是一个低频事件,但对少数人而言,风险相当大。探索性分析表明,个体和环境因素会增加伤害风险。需要开发合适的方法,以便在更大的前瞻性样本中重复这些发现。关注伤害的预测因素可能有助于制定评估方案,以确保干预措施适度。