Division of Primary Care, University of Nottingham, , Nottingham, UK.
Inj Prev. 2013 Dec;19(6):370-81. doi: 10.1136/injuryprev-2012-040658. Epub 2013 Apr 18.
To estimate the likelihood of recovery at 1, 4 and 12 months post injury and investigate predictors of recovery in injured people attending an emergency department (ED) or admitted to hospital in the UK.
Participants completed questionnaires at recruitment and 1, 4 and 12 months post injury or until recovered. Data were collected on injury details, sociodemographic characteristics, general health prior to injury and recovery. We compared three age groups: 5-17, 18-64 and 65 years and above. Modified Poisson regression estimated the relative risk of recovery. Multivariable models were built using backward stepwise regression. Sensitivity analyses assessed the effect of missing data.
We recruited 1517 participants, 55% (n=836) ED attenders and 44% (n=661) hospital admissions. By 1 month after injury, 28% (285/968) had fully recovered, 54% (440/820) at 4 months and 71% (523/738) at 12 months. Recovery was independently associated with gender, admission status, injury severity, body region injured and place of injury for 5-17 year olds and 18-64 year olds and with gender, admission status, injury severity and long-term illness for those aged 65+. Injury severity and hospital admission were associated with recovery across all age groups, but not at every time point in each age group. Other factors varied between age groups or time points. Results were generally robust to imputing missing data.
A range of factors was found to predict recovery among injured people. These could be used to identify those at risk of delayed recovery and to inform the design of interventions to maximise recovery.
估计受伤后 1、4 和 12 个月的恢复可能性,并调查在英国急诊科就诊或住院的受伤者的恢复预测因素。
参与者在招募时以及受伤后 1、4 和 12 个月或恢复后完成问卷。收集的信息包括损伤细节、社会人口统计学特征、受伤前的一般健康状况以及恢复情况。我们比较了三个年龄组:5-17 岁、18-64 岁和 65 岁及以上。采用修正泊松回归估计恢复的相对风险。使用向后逐步回归建立多变量模型。敏感性分析评估了缺失数据的影响。
我们共招募了 1517 名参与者,55%(n=836)为急诊科就诊者,44%(n=661)为住院患者。受伤后 1 个月时,28%(285/968)完全恢复,4 个月时 54%(440/820),12 个月时 71%(523/738)。对于 5-17 岁和 18-64 岁的人,恢复与性别、入院状态、损伤严重程度、受伤身体部位和受伤地点独立相关,而对于 65 岁以上的人,恢复与性别、入院状态、损伤严重程度和长期疾病相关。损伤严重程度和住院与所有年龄组的恢复相关,但并非在每个年龄组的每个时间点都相关。其他因素在不同年龄组或时间点之间存在差异。结果对于缺失数据的插补通常是稳健的。
研究发现了一系列可预测受伤者恢复情况的因素。这些因素可用于识别恢复延迟的风险人群,并为设计最大程度促进恢复的干预措施提供信息。