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Health psychology attendance: A multilevel analysis of patient-level predictors and therapist effects.
Health Psychology ( IF 4.2 ) Pub Date : 2020-09-17 , DOI: 10.1037/hea0001021
Nick Firth , Claire Bone , Rachel Holt

The study investigated adult outpatient Health Psychology Services appointment attendance, cancellation, and missed appointments (A/C/M). The first objective was to determine which demographic and process factors predicted the probability of A/C/M. The second objective was to determine whether there remained residual significant differences in A/C/M between therapists (i.e., a "therapist effect"), after controlling for explanatory variables. We conducted a practice-based retrospective 2-year cohort study. Three-level multilevel models were constructed and tested to analyze the probability of A/C/M at (1) assessment appointments (N = 1,175) and (2) follow-up appointments (N = 5,441). After controlling for predictor variables, significant therapist effects were found for attendance (10.0% to 13.0%) and cancellation (4.4%) at follow-up appointments (but not assessments), indicating significantly different attendance rates at follow-up between therapists. Predictors of attendance at follow-up included patient age, pretherapy symptom severity scores (including risk and symptom scores), and completion of intake questionnaires. Early morning follow-up appointments were least likely to be canceled, followed by late afternoon and finally midday appointments. Treatment intensity predicted attendance, but among qualified therapists, qualification type and pay level were nonsignificant. No significant predictors of attendance at assessment were detected. Attendance at Health Psychology Services outpatient appointments varies significantly according to patient, therapist, and appointment factors. Key routinely collected variables are predictive of attendance at follow-up. Clinical implications include the potential to identify patients at risk of nonattendance and target engagement interventions to these patients. Research directions include closer examination of variability in follow-up attendance between therapists. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译:

健康心理出勤:对患者水平的预测因子和治疗师效果的多层次分析。

该研究调查了成人门诊健康心理服务的预约出勤,取消和错过预约(A / C / M)。第一个目标是确定哪些人口统计学和过程因素预测了A / C / M的可能性。第二个目标是在控制了解释变量之后,确定治疗师之间的A / C / M是否仍然存在剩余的显着差异(即“治疗师效应”)。我们进行了一项基于实践的回顾性两年队列研究。构建并测试了三级多级模型,以分析(1)评估任命(N = 1,175)和(2)后续任命(N = 5,441)的A / C / M概率。控制预测变量后,发现出勤率(10.0%至13.0%)和取消率有显着的治疗师效果(4。(4%)在随访预约中(但未评估),表明治疗师之间随访的出勤率显着不同。随访的预测因素包括患者年龄,治疗前症状严重程度评分(包括风险和症状评分)以及摄入量调查表的填写。清晨跟进约会的可能性最小,其次是下午晚些时候,最后是中午约会。治疗强度可预测出勤率,但在合格的治疗师中,合格类型和薪酬水平不显着。没有发现参加评估的重要预测指标。根据患者,治疗师和就诊因素的不同,健康心理服务门诊的就诊情况差异很大。例行收集的关键变量可预测随访情况。临床意义包括识别潜在的缺勤风险和针对这些患者进行干预的潜力。研究方向包括仔细检查治疗师之间的随访出席率差异。(PsycInfo数据库记录(c)2020 APA,保留所有权利)。
更新日期:2020-09-17
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