• Pain physician · Jul 2019

    The Social and Functional Implications of High- Versus Low-Dose Opioids on Chronic Non-Cancer Pain.

    • Yohei Denawa, Will Kurtz, and Till Conermann.
    • Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mt Sinai, New York, NY.
    • Pain Physician. 2019 Jul 1; 22 (4): 401-411.

    BackgroundChronic non-cancer pain (CNCP) is a major health concern. Opioids may be a useful treatment option, but their use still remains controversial given the significant risks and epidemic of opioid addiction and abuse. There is limited data on whether opioid therapy is an effective treatment option for chronic non-cancer pain.ObjectiveTo assess both physical and emotional dimensions of health for patients on opioid therapy for CNCP by reviewing the 36-Item Short Form Health Survey (SF-36) .Study DesignThis study was a retrospective cohort review.SettingOutpatient pain clinic.MethodsWe recruited 182 patients at the West Penn Pain Institute outpatient pain clinic: 94 patients were recruited for the low-dose opioid group (5-30 morphine milligram equivalents [MME]) while 88 patients were recruited for the high-dose opioid group (> 90 MME). Each patient filled out the SF-36 survey used to assess both the physical and emotional dimensions of their health. We also analyzed patients' employment status, reasons for unemployment, pain diagnosis, side effects, and compliance issues through the electronic medical record (EMR).ResultsMean scores on General Health Perceptions for the low-dose and high-dose opioid groups were 50.3 ± 21.6 and 44.4 ± 21.9, respectively (P = .07). Though not reaching statistical significance, high-dose patients had lower item scores, indicating a perception of poorer health. There were no significant differences between the low-dose and high-dose opioid treatment groups on any of the mean scores from the 8 domains of the SF-36. There was a statistically significant association between opioid treatment group and working status, noncompliance, and the self-reported number of side effects. Patients treated with high-dose opioids had significantly higher rates of unemployment (85%) than did low-dose opioid patients (66%) (x-squared[1] = 8.48, P =.004; odds ratio [OR] = 2.89 [95% confidence interval (CI), 1.39-6.01]). Unemployed patients in the high-dose treatment group were more likely to list disability as unemployment while retirement was the most common response in the low-dose treatment group. Patients treated with high-dose opioids had significantly higher rates of self-reported side effects (46%) than did low-dose opioid patients (21%) (x-squared[1] = 12.02, P =.001; OR = 3.08 [95% CI, 1.61-5.89]). Patients treated with high-dose opioids had significantly higher rates of noncompliance (49%) than did low-dose opioid patients (33%) (x-squared[1] = 4.75, P =.029; OR = 1.94 [95% CI, 1.07-3.54]). Thus, the odds of a high-dose opioid patient being unemployed were 2.89 times greater than the odds for a low-dose opioid patient; the odds of a high-dose opioid patient self-reporting side-effects were 3.08 times greater than the odds for a low-dose opioid patient; and the odds of a high-dose opioid patient being noncompliant with their medications were 1.94 times greater than the odds for a low-dose opioid patient.LimitationsThe observation al design prohibits drawing causal relationships, and entry criteria was restricted.ConclusionsThese data suggest that patients receiving low-dose and high-dose opioid treatment do not have significantly different quality-of-life outcomes. Future studies that incorporate longitudinal data are necessary to examine the temporal relationship between quality of life and opioid therapy.Key WordsChronic pain, chronic non-cancer pain, opioids, pain, quality of life, side effects, noncompliance, unemployment.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…