Sabit Ramsey, Griffiths Timothy L, Watkins Alan J, Evans Wendy, Bolton Charlotte E, Shale Dennis J, Lewis Keir E
Department of Respiratory Medicine, Cardiff University, Academic Centre, Llandough Hospital, Penarth, Vale of Glamorgan, CF64 2XX, UK.
Respir Med. 2008 Jun;102(6):819-24. doi: 10.1016/j.rmed.2008.01.019. Epub 2008 Mar 11.
Pulmonary rehabilitation (PR) is recommended for patients with respiratory disease who feel limited by breathlessness. Poor attendance wastes finite resources, increases waiting times and is probably associated with poorer clinical outcomes. We investigated what factors, identifiable from routine hospital data, predict poor attendance once enrolled in a pulmonary rehabilitation programme (PRP).
Retrospective case note study of 239 patients (60% male) of mean (S.D.) age of 66.6 (8.7) years, mean FEV(1) 39.6 (14.6)% predicted, who attended a 6 (short) or 18 (long) week, 18 session, outpatient PRP. Attendance data was analysed using linear multiple regression analysis with the log transformed odds ratio of attendance as the dependant variable.
Overall median attendance was 16 out of 18 sessions. Being a current smoker (p<0.05), attending a long PRP (p<0.05), more previous hospital admissions (p<0.01), higher Medical Research Council (MRC) dyspnoea score (p<0.01) or enduring a long journey (p<0.001) were independent risk factors for low attendance. Lower body mass index (BMI) and distance from PR centre were of borderline importance (p<0.1) but age, gender, co-morbidity, respiratory diagnosis, FEV(1) and St. Georges Respiratory Questionnaire Score at baseline did not predict later attendance (p>0.2).
Attendance at PRPs is independently influenced by smoking status, the degree of breathlessness, frequency of hospital admissions, length of the programme and journey time.
对于因呼吸困难而感觉受限的呼吸系统疾病患者,建议进行肺康复(PR)。参与率低会浪费有限的资源,增加等待时间,并且可能与较差的临床结果相关。我们调查了哪些可从常规医院数据中识别的因素,能够预测患者一旦纳入肺康复计划(PRP)后的低参与率。
对239例患者(60%为男性)进行回顾性病例记录研究,这些患者的平均(标准差)年龄为66.6(8.7)岁,平均第一秒用力呼气容积(FEV₁)为预测值的39.6(14.6)%,他们参加了为期6周(短期)或18周(长期)、共18节课程的门诊PRP。使用线性多元回归分析对参与率数据进行分析,将参与率的对数转换比值比作为因变量。
总体中位参与节数为18节中的16节。当前吸烟者(p<0.05)、参加长期PRP(p<0.05)、既往住院次数较多(p<0.01)、医学研究委员会(MRC)呼吸困难评分较高(p<0.01)或路途遥远(p<0.001)是参与率低的独立危险因素。较低的体重指数(BMI)和与PR中心的距离具有临界重要性(p<0.1),但年龄、性别、合并症、呼吸诊断、基线时的FEV₁和圣乔治呼吸问卷评分并不能预测后期参与率(p>0.2)。
PRP的参与率受到吸烟状况、呼吸困难程度、住院频率、计划时长和路途时间的独立影响。