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Refrigerated Stability of Diluted Cisatracurium, Rocuronium, and Vecuronium for skin testing after perioperative anaphylaxisDinsmore, Kristen, Campbell, Bethany, Archibald, Timothy, Mosier, Greg, Brown, Stacy, PhD, Gonzalez-Estrada, Alexei, MD 05 April 2018 (has links) (PDF)
Rationale: The purpose of this study is to investigate the stored stability of dilutions of neuromuscular blocking agents (NMBAs), namely cisatracurium, rocuronium, and vecuronium, for skin prick/intradermal testing.
Methods: Concentrations of NMBAs were monitored by liquid chromatography-mass spectrometry (LC-MS/MS) for a period of 14 days. Dilutions of NMBAs were prepared in saline by factors of 10x, 100x, 1,000x, 10,000x, and 100,000x as sensitivity of the assay allowed. Diluted drug products were stored in a laboratory refrigerator until sampling. On sampling days, aliquots of each dilution were removed and compared to a freshly prepared set of reference dilutions.
Results: The results are measured as beyond use date (BUD) defined as recovery of drug versus the reference (90-110%). Based on the LC-MS/MS data, the BUD for cisatracurium diluted to 10x and 100x is 96 hours. Higher dilutions (1,000x to100,000x) should be used immediately following preparation (within less than 24 hours). Vecuronium at 10x and 100x, also has a BUD of 96 hours, and the 1,000x dilution is stable for 24 hours. The 10,000x dilution should be used immediately. Rocuronium at 10x to 1,000x has a BUD of 48 hours, yet higher dilutions (10,000x and 100,000x) should be used immediately.
Conclusions: With increasing dilution factors, the stability of these drugs in saline decreases, increasing deviation between samples and references. The most stable dilutions for each of the drugs tested were 10x and 100x. Stability of these drugs is likely compromised by hydrolysis of the ester bonds in the drug molecules.
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Use of Opioids for Pain Management in Nursing Homes: A DissertationPimentel, Camilla B. 06 April 2015 (has links)
Nursing homes are an essential yet understudied provider of cancer-related care for those with complex health needs. Nine percent of nursing home residents have a cancer diagnosis at admission, and it is estimated that one-third of them experience pain on a daily basis. Although pain management is an essential component of disease treatment, few studies have evaluated analgesic medication use among adults with cancer in this setting. Use of opioids, which are the mainstay of pain management in older adults because of their effectiveness in controlling moderate to severe pain, may be significantly related to coverage by the Medicare Part D prescription drug benefit. However, little is known about Medicare Part D’s effects on opioid use in this patient population. A limited body of evidence also suggests that despite known risks of overdose and respiratory depression in opioid-naïve patients treated with long-acting opioids, use of these agents may be common in nursing homes.
This dissertation examined access to appropriate and effective pain-related health care services among US nursing home residents, with a special focus on those with cancer. Objectives of this dissertation were to: 1) estimate the prevalence, and identify resident-level correlates, of pain and receipt of analgesic medications; 2) use a quasi-experimental research design to examine the relationship between implementation of Medicare Part D and changes in the use of fentanyl patches and other opioids; and 3) to estimate the prevalence, and identify resident-level correlates, of naïve initiation of long-acting opioids. Data on residents’ health status from the Resident Assessment Instrument/Minimum Data Set (versions 2.0 and 3.0) were linked with prescription drug transaction data from a nationwide long-term care pharmacy (January 2005–June 2007) and the Centers for Medicare and Medicaid Services (January–December 2011).
From 2006 to 2007, more than 65% of residents of nursing homes throughout the US with cancer experienced pain (28.3% on a daily basis), among whom 13.5% reported severe pain. More than 17% of these residents who experienced daily pain received no analgesics (95% confidence interval [CI]: 16.0–19.1%), and treatment was negatively associated among those with advanced age, cognitive impairment, feeding tubes, and restraints. These findings coincided with changing patterns in opioid use among residents with cancer, including relatively abrupt 10% and 21% decreases in use of fentanyl patches and other strong opioids, respectively, after the 2006 implementation of Medicare Part D. In the years since Medicare Part D was introduced, some treatment practices in nursing homes have not been concordant with clinical guidelines for pain management among older adults. Among a contemporary population of long-stay nursing home residents with and without cancer, 10.0% (95% CI: 9.4–10.6%) of those who began receiving a long-acting opioid after nursing home admission had not previously received opioid therapy. Odds of naïve initiation of these potent opioids were increased among residents with terminal prognosis, functional impairment, feeding tubes, and cancer.
This dissertation provides new evidence on pharmaceutical management of pain and on Medicare Part D’s impact on opioid use in nursing home residents. Results from this dissertation shed light on nursing home residents’ access to pain-related health care services and provide initial directions for targeted efforts to improve the quality of pain treatment in nursing homes.
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Recognizing Pain Using Novel Simulation TechnologyGrace, Justin C 01 January 2016 (has links)
Effective pain management and time to treatment is essential in patient care. Despite scientific evidence supporting the need to treat pain and an emphasis on addressing pain as a priority, pain management continues to be an unresolved issue. As a member of the health care team, nurses are integral to optimal pain management. Currently, nursing schools have limited innovative or alternative methods for teaching pain assessment and management. Simulation in nursing education provides a unique opportunity to expose students to realistic patient situations and allow them to learn and make mistakes without causing harm. However, modern low- and high-fidelity simulation technology is unable to display emotion, pain, or any facial expression. This limits training and education of conditions that may partially rely on the identification of symptoms based on the alteration of facial appearance, such as pain or stroke. This research explored student nurses’ perception of new technology that displayed computer-generated faces, each expressing varying degrees of physical expressions of pain. A total of 15 nursing students participated in the study. Students were asked to interpret the level of pain in four sequential faces using a numeric rating scale of 0-10, with 0 indicating no pain, and 10 the most severe pain possible. After scoring the faces, students were asked to answer four open-ended questions addressing the technology. Results of the study indicate a majority of nursing students believe the technology should be implemented into nursing curriculum and interacting with the projected faces was more beneficial than traditional teaching methods. Eventually, the potential for increased identification of conditions requiring observation of subtle facial changes will be explored.
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