Unknown

Dataset Information

0

Evaluation of opioid use among patients with back disorders and arthritis.


ABSTRACT: PURPOSE:Long-term opioid use for chronic pain has increased, but limited evidence exists on its benefits. Evaluation of long-term benefits in pain is based on patient-reported measures such as health-related quality of life (HRQoL). This study examined the long-term effects of opioid use on HRQoL and its subdomains in patients with back pain or arthritis by comparing opioid users to non-opioid users for three metrics: (1) any opioid use, (2) duration of opioid use, and (3) average daily morphine equivalent dose. METHODS:A nationally representative sample of cancer-free adults with chronic back pain or arthritis was selected. Using the 12-Item Short Form Survey, HRQoL measures of Mental Component Score (MCS), Physical Component Score (PCS), and individual subdomains were assessed at baseline and 1 year later. Opioid users were matched to non-opioid users in a 1:1 greedy match using propensity scores estimated based on many patient demographics and baseline HRQoL measures. RESULTS:At year one, PCS was significantly lower among opioid users, mostly driven by bodily pain subdomain; MCS was not different. Short-term opioid users (

SUBMITTER: Hayes CJ 

PROVIDER: S-EPMC7193692 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Evaluation of opioid use among patients with back disorders and arthritis.

Hayes Corey J CJ   Payakachat Nalin N   Li Chenghui C  

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation 20180723 11


<h4>Purpose</h4>Long-term opioid use for chronic pain has increased, but limited evidence exists on its benefits. Evaluation of long-term benefits in pain is based on patient-reported measures such as health-related quality of life (HRQoL). This study examined the long-term effects of opioid use on HRQoL and its subdomains in patients with back pain or arthritis by comparing opioid users to non-opioid users for three metrics: (1) any opioid use, (2) duration of opioid use, and (3) average daily  ...[more]

Similar Datasets

| S-EPMC7416727 | biostudies-literature
| S-EPMC5536954 | biostudies-other
2020-08-31 | GSE157144 | GEO
| S-EPMC6957597 | biostudies-literature
| S-EPMC8079173 | biostudies-literature
| S-EPMC6439637 | biostudies-literature
| S-EPMC5550768 | biostudies-literature
| S-EPMC8562993 | biostudies-literature
| S-EPMC3179790 | biostudies-literature
| S-EPMC7995999 | biostudies-literature