Show simple item record

dc.contributor.authorFirth, Nick
dc.contributor.authorHolt, Rachel
dc.date.accessioned2021-01-27T15:42:47Z
dc.date.available2021-01-27T15:42:47Z
dc.date.issued2020-11
dc.identifier.citationHealth Psychol. 2020 Nov;39(11):945-955. doi: 10.1037/hea0001021. Epub 2020 Sep 17.en
dc.identifier.urihttps://www.ejso.com/article/S0748-7983(20)31225-7/pdf
dc.identifier.urihttp://hdl.handle.net/20.500.12904/1637
dc.description.abstractThe 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).en
dc.language.isoenen
dc.subjectAppointmentsen
dc.subjectOutpatientsen
dc.titleHealth psychology attendance: A multilevel analysis of patient-level predictors and therapist effectsen
dc.typeArticleen
refterms.dateFOA2021-06-03T13:59:33Z


Files in this item

Thumbnail
Name:
(31) Auth Post Print Copy HEA ...
Size:
195.5Kb
Format:
Microsoft Word 2007
Description:
Accepted Author Manuscript Version ...

This item appears in the following Collection(s)

Show simple item record