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Evidence Based Intervention Case Study

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Evidence-Based Interventions
According to Hah et al. (2017), several studies have shown that nerve blockade of the central nervous system (neuraxial anesthesia) or peripheral nerves (regional anesthesia) reduce the need for opioids in the immediate postoperative phase. There are two mechanisms through which nerve blockade reduces persistent opioid use. First, nerve blockade works by impeding the transmission of pain during the perioperative phase and thereby stopping central sensitization and chronic neuropathic pain. Second, nerve blocks are effective in treating postoperative pain and are good predictor of persistent opioid use. Similarly, studies found that intravenous local anesthetic such as lidocaine reduces perioperative opioid …show more content…

Each guideline includes, a recommendation for initial agent, dose, duration, frequency, and maximum dose to be dispense. According to the guideline, only 1 short-acting opioid can be prescribed at a time, avoidance of opioid prescription before surgery, and reducing concurrent use of sedatives or hypnotics. Patient must also be present during initial opioid prescription. If patient has not been seen within the past 30 days, no refill or prescription is allowed. Soffin et al (2017) equally found clinical assessment as the key enabler of safe opioid prescribing. Patients must be frequently evaluated to determine the effectiveness of the medication and dose adjustment. Evidence from Soelberg et al. (2017) study also suggest that writing prescription for shorter duration and dispensing less medication have the potential to reduce the risk of long-term opioid use. Risk assessment is crucial, and intervention must be rendered promptly if misuse is suspected. Patients must be assessed for opioid tolerance preoperatively. Early diagnosis of opioid tolerance mitigates the risk of acute withdrawal, gives opportunity to optimize preoperative status, and allows surgeons to design care plan tailored specifically to the individual need (Soffin, et al., 2017). Early identification of surgical patients with chronic pain who are

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