Literature DB >> 32922776

Exploring predictors of first appointment attendance at a pain management service.

Mattia Monastra1, Susie White2, Jane Simpson3.   

Abstract

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. © The British Pain Society 2020.

Entities:  

Keywords:  Chronic pain; logistic regression; non-attendance; pain management service; retrospective cohort study

Year:  2020        PMID: 32922776      PMCID: PMC7453484          DOI: 10.1177/2049463720905882

Source DB:  PubMed          Journal:  Br J Pain        ISSN: 2049-4637


  24 in total

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Authors:  R B Cutler; D A Fishbain; B Cole; R Steele-Rosomoff; H L Rosomoff
Journal:  Pain Med       Date:  2001-03       Impact factor: 3.750

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Journal:  J Psychosom Res       Date:  1983       Impact factor: 3.006

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Authors:  Jake Olivier; Melanie L Bell
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

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