Pain medicine : the official journal of the American Academy of Pain Medicine
-
Electronic (eHealth) and mobile (mHealth) technologies may be a useful adjunct to clinicians treating patients with chronic pain. The primary aim of this study was to investigate the effects of eHealth and mHealth interventions that do not require clinician contact or feedback on pain-related outcomes recommended by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) guidelines in adults with chronic pain. ⋯ eHealth and mHealth interventions had significant effects on multiple short- and intermediate-term outcome measures recommended in the IMMPACT guidelines. Given widespread availability and low cost to patients, clinicians treating patients with chronic pain could consider using eHealth and mHealth interventions as part of a multidisciplinary pain treatment strategy.
-
This manuscript reviews medical literature published pertaining to the management of chronic pain with medical marijuana therapy (MMJ), with an emphasis on the social, medical, and legal aspects of therapy. ⋯ Increasing interest in MMJ for chronic pain underscores a need for primary care and pain physicians to better understand the indications and evidence for its use free from cultural bias. Given a lack of full conclusive clinical utility, continued research is needed to better understand how to best utilize MMJ therapy for the treatment of chronic pain. Policy initiatives, such as enumerated indications, should follow medical science in order to prevent another abused substance epidemic.
-
To support or refute the hypothesis that opioid tapering in chronic pain patients (CPPs) improves pain or maintains the same pain level by taper completion but does not increase pain. ⋯ There is consistent type 3 and 4 study evidence that opioid tapering in CPPs reduces pain or maintains the same level of pain. However, these studies represented lower levels of evidence and were not designed to test the hypothesis, with the evidence being marginal in quality with large amounts of missing data. These results then primarily reveal the need for controlled studies (type 2) to address this hypothesis.