Despite advances in pharmacologic options for the management of surgical pain, there appears to have been little or no overall improvement over the last two decades in the level of pain experienced by patients. The importance of adequate and effective surgical pain management, however, is clear, because inadequate pain control 1) has a wide range of undesirable physiologic and immunologic effects; 2) is associated with poor surgical outcomes; 3) has increased probability of readmission; and 4) adversely affects the overall cost of care as well as patient satisfaction. There is a clear unmet need for a national surgical pain management consensus task force to raise awareness and develop best practice guidelines for improving surgical pain management, patient safety, patient satisfaction, rapid postsurgical recovery, and health economic outcomes. To comprehensively address this need, the multidisciplinary Surgical Pain Congress™ has been established. The inaugural meeting of this Congress (March 8 to 10, 2013, Celebration, Florida) evaluated the current surgical pain management paradigm and identified key components of best practices.
ObjectiveTo summarise the extent and quality of evidence on the association between prison cell spatial density (a measure of crowding) and infectious and communicable diseases transmission among prisoners.DesignSystematic review.Data sourcesEmbase, PubMed, Medline, Scopus, Web of Science, PsycINFO, PsycExtra, ProQuest Databases, ProQuest Dissertations and Theses Global, Index to Legal Periodicals, InformitOnline, Cochrane Library, Criminal Justice Abstracts and ICONDA were searched to 31 December 2018.Eligibility criteriaStudies that reported on the association between prison cell spatial density (measured in square feet or square metres of cell floor area per person) and infectious and communicable diseases in juvenile and adult populations incarcerated in a correctional facility.Data extraction and synthesisA review protocol was developed in consultation with an advisory panel. Two reviewers independently extracted data and used the Australian National Health and Medical Research Council’s (NHMRC) checklist to critically appraise individual studies. An assessment of the overall body of the evidence was conducted using the NHMRC’s Evidence Scale and Statement Form.ResultsA total of 5126 articles were initially identified with seven included in the review from Pakistan (2003), Chile (2016), Nigeria (2012, 2013) and the USA (1980s). Infectious and communicable disease outcomes included pneumococcal disease/acute pneumonia,Mycobacterium tuberculosis, latent tuberculosis infection, infectious skin conditions and contagious disease reporting to the prison clinic. Five articles reported statistically significant positive associations but were countered by associations possibly being explained by chance, bias or confounding factors. Heterogeneity prevented meta-analysis.ConclusionOverall, the body of evidence provides some support for an association between prison cell special density and infectious and communicable diseases, but care should be taken in the interpretation and transferability of the findings. Future research and policy responses should adequately consider prospective mediating factors implicated in associations between cell spatial density and health effects.
For the perioperative nurse, the management of postsurgical pain includes various responsibilities, such as performing postsurgical pain assessments as an essential first step, facilitating recovery from surgery, and maximizing patient satisfaction during the postsurgical period. In addition, nurses are responsible for providing patient education regarding pain management, the quality of which may strongly influence patient satisfaction. External and internal challenges exist in perioperative care processes, however, and addressing these challenges will promote the overall goal of providing high-quality care.
Achievement of adequate postoperative pain management is a critical challenge in health care, with an estimated three out of four adult surgical patients reporting moderate to extreme pain after surgery. Overreliance on opioids in acute care settings has persisted, despite well-known adverse side effects frequently associated with this class of drugs. Furthermore, patients with a history of chronic opioid use present additional challenges in terms of postsurgical pain management. Advances in the development of newer analgesic agents and anesthetic techniques may be useful in surgical patients with a history of chronic opioid use and in the overall surgical patient population. Systemic inefficiencies and problematic medical practice patterns can also have negative effects on perioperative pain management. As the surgical patient's primary advocate, perioperative nurses play an important role in overcoming these diverse challenges and addressing the problems associated with inadequately controlled postsurgical pain.
Background and Purpose Understanding the factors contributing to the variability in postoperative pain and function following lumbar spine surgeries (LSS) is necessary to plan inpatient rehabilitation and optimize surgical outcomes. In particular, variability due to age and gender has not been studied. This study's aim was to evaluate the variability in postoperative pain and function, during hospital stay, due to age and gender following LSS. Methods We conducted a retrospective analysis of 585 patients who underwent LSS during their hospital stay. Univariate ANCOVA was performed to study the differences in postoperative pain, and multivariate ANCOVA was performed to study the differences in postoperative function (gait distance, independency combined score, and balance combined score) between age groups (older adults [≥65 years of age] vs. younger adults) and gender. Results Younger patients reported statistically, but not clinically, significant higher postoperative pain than older patients (β = 0.652 [95% CI (0.382–0.986)], p < 0.001), and males reported statistically, but not clinically, significant lower postoperative pain than female patients (β = −0.583 [95% CI (−0.825 to −0.252)], p < 0.001) with adjustment of covariates. Male patients walked significantly longer distance than female patients (β = 0.272 [95% CI (0.112–0.432)], p = 0.001) with adjustment of covariates. However, these were clinically insignificant. With adjustment of preoperative diagnosis, type of surgery, severity of illness, and prior level of function, there was no statistically significant difference between age groups in walking distance, and between age and gender groups in independency combined score and balance combined scores. Discussion Following LSS, the difference in postoperative pain between age groups and gender are statistically but not clinically significant, suggesting patients require similar effective postoperative pain management regardless of age and gender. The apparent difference in age and gender in postoperative functional outcomes could be due to other factors.
Pain is the leading reason people seek health care. In an effort to aggressively manage pain in the hospitalized patient, we have seen an increase in the use of opioids. Unfortunately, there has been a similar increase in the number of opioid-related adverse events. As a result, The Joint Commission issued a Sentinel Event Alert in August 2012 with suggested evidenced-based actions to help avoid these adverse events. This article describes one hospital's initiatives to provide opioids safely.
Introduction Clinical management of CPAP adherence remains an ongoing challenge. Behavioral and technical interventions such as patient outreach, coaching, troubleshooting, and resupply may be deployed to positively impact adherence. Previous authors have described adherence phenotypes that retrospectively categorize patients by discrete usage patterns. We design an AI model that predictively categorizes patients into previously studied adherence phenotypes and analyzes the statistical significance and effect size of several types of interventions on subsequent CPAP adherence. Methods We collected a cross-sectional cohort of subjects (N = 13,917) with 455 days of daily CPAP usage data acquired. Patient outreach notes and resupply data were temporally synchronized with daily CPAP usage. Each 30-days of usage was categorized into one of four adherence phenotypes as defined by Aloia et al. (2008) including Good Users, Variable Users, Occasional Attempters, and Non-Users. Cross-validation was used to train and evaluate a Recurrent Neural Network model for predicting future adherence phenotypes based on the dynamics of prior usage patterns. Two-sided 95% bootstrap confidence intervals and Cohen’s d statistic were used to analyze the significance and effect size of changes in usage behavior 30-days before and after administration of several resupply interventions. Results The AI model predicted the next 30-day adherence phenotype with an average of 90% sensitivity, 96% specificity, 95% accuracy, and 0.83 Cohen’s Kappa. The AI model predicted the number of days of CPAP non-use, use under 4-hours, and use over 4-hours for the next 30-days with OLS Regression R-squared values of 0.94, 0.88, and 0.95 compared to ground truth. Ten resupply interventions were associated with statistically significant increases in adherence, and ranked by adherence effect size using Cohen’s d. The most impactful were new cushions or masks, with a mean post-intervention CPAP adherence increase of 7-14% observed in Variable User, Occasional Attempter, and Non-User groups. Conclusion The AI model applied past CPAP usage data to predict future adherence phenotypes and usage with high sensitivity and specificity. We identified resupply interventions that were associated with significant increases in adherence for struggling patients. This work demonstrates a novel application for AI to aid clinicians in maintaining CPAP adherence. Support
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