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苏格兰疼痛管理项目参与情况的社会人口统计学预测因素

Sociodemographic predictors of attendance at a Scottish pain management programme.

作者信息

Moore F R, Williams L, Dunbar M

机构信息

Phoenix Centre, Raigmore Hospital, Inverness, UK.

New Victoria Hospital, Glasgow, UK.

出版信息

Br J Pain. 2021 Nov;15(4):393-400. doi: 10.1177/2049463720970579. Epub 2020 Nov 6.

DOI:10.1177/2049463720970579
PMID:34840787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8611294/
Abstract

We examined relationships between various sociodemographic factors and attendance at the Glasgow Pain Management Programme (n = 2899 from 2011 to 2019). We tested for associations between gender, age and socioeconomic deprivation of patients who were invited to attend, and uptake to a programme when invited, attendance at screening assessment, eligibility, adherence and attendance at 3- and 6-month reviews. Uptake was significantly higher for patients from more affluent areas (95% confidence interval (CI) = 0.93-0.99, p = 0.002) and for older patients (95% CI = 0.98-0.99, p = 0.006), although effect sizes were very small. Patients were significantly more likely to be assessed as suitable if they were younger (95% CI = 0.98-0.99, p = 0.013) or female (95% CI = 0.55-0.84, p < 0.001). Attendance at sessions and at 3- and 6-month reviews was higher for patients from more affluent areas (95% CI = 1-1.09, p = 0.001, and 95% CI = 1-1.1, p = 0.044 respectively). We argue that there are multiple potential explanations for these findings and that future work should attempt to determine whether these patterns replicate in other populations and to determine any modifiable causes.

摘要

我们研究了各种社会人口学因素与参加格拉斯哥疼痛管理项目(2011年至2019年期间共2899例)之间的关系。我们测试了受邀患者的性别、年龄和社会经济剥夺程度与受邀参加项目的接受率、筛查评估的出勤率、资格、依从性以及3个月和6个月复查的出勤率之间的关联。来自更富裕地区的患者接受率显著更高(95%置信区间(CI)=0.93 - 0.99,p = 0.002),老年患者也是如此(95% CI = 0.98 - 0.99,p = 0.006),尽管效应量非常小。如果患者年龄较小(95% CI = 0.98 - 0.99,p = 0.013)或为女性(95% CI = 0.55 - 0.84,p < 0.001),则他们被评估为合适的可能性显著更高。来自更富裕地区的患者参加课程以及3个月和6个月复查的出勤率更高(95% CI分别为1 - 1.09,p = 0.001,以及95% CI为1 - 1.1,p = 0.044)。我们认为对于这些发现有多种潜在解释,并且未来的工作应该尝试确定这些模式是否在其他人群中重现,并确定任何可改变的原因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/c6ea79b6aac7/10.1177_2049463720970579-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/98e6f0c109e4/10.1177_2049463720970579-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/1d88601b5999/10.1177_2049463720970579-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/c6ea79b6aac7/10.1177_2049463720970579-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/98e6f0c109e4/10.1177_2049463720970579-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/1d88601b5999/10.1177_2049463720970579-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f414/8611294/c6ea79b6aac7/10.1177_2049463720970579-fig3.jpg

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Morbidity, mortality and missed appointments in healthcare: a national retrospective data linkage study.在医疗保健中发病率、死亡率和错过预约:一项全国性回顾性数据链接研究。
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Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review.
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Lancet Public Health. 2017 Dec;2(12):e551-e559. doi: 10.1016/S2468-2667(17)30217-7. Epub 2017 Dec 5.
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