Exploring Predictors of First Appointment Attendance at a Pain Management Service

Monastra, Matia and White, S. and Simpson, Jane (2020) Exploring Predictors of First Appointment Attendance at a Pain Management Service. British Journal of Pain, 14 (3). pp. 152-160. ISSN 2049-4637

[thumbnail of BJP_19_0057.R3_Proof_hi_002_.pdf]
Text (BJP_19_0057.R3_Proof_hi_002_.pdf)
BJP_19_0057.R3_Proof_hi_002_.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (196kB)


Background: Individual characteristics such as gender, employment and age have been shown to predict attendance at pain management services (PMS). The characteristics of those who drop out of pain management programmes have also been explored, but as yet no studies have analysed the characteristics of those who do not attend the service following referral. Purpose: To explore the characteristics and predictors of those who attend and those who do not attend their first appointment with a PMS. Method: Predictive factors in the two groups – attenders (n = 425) and non-attenders (n = 69) – were explored using logistic regression. Results: Non-attendance was significantly predicted by the patient being a smoker and the appointment being in the morning. Non-attenders also scored higher on the Modified Somatic Perception Questionnaire, indicating higher levels of somatic pain. Discussion: Predictors of non-attendance were different from those for individuals who drop out of pain services. Implications and recommendations are made for PMS.

Item Type:
Journal Article
Journal or Publication Title:
British Journal of Pain
Additional Information:
The final, definitive version of this article has been published in the Journal, British Journal of Pain, 14 (3), 2020, © SAGE Publications Ltd, 2019 by SAGE Publications Ltd at the British Journal of Pain page: https://journals.sagepub.com/home/bjpb on SAGE Journals Online: http://journals.sagepub.com/
ID Code:
Deposited By:
Deposited On:
27 Jan 2020 13:40
Last Modified:
15 Jul 2024 20:20