Browsing AHU Graduate Student Scholarship by Subject "chronic non-malignant pain"
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- ItemChronic Non-Malignant Pain and Cognitive Behavioral Therapy(2021) Nieves, Jennifer; Pagayon, LibertyFor patients who experience chronic non-malignant pain, opioid prescriptions have been steadily increasing despite questionable efficacy, safety concerns, and economic implications. Some types of pain are clearly identified and treated effectively while others persist and cause not just unwanted physiological changes, but psychological and cognitive effects as well. Positive and negative correlations have been seen in cognitive behavioral therapy and its effects on outpatient adjunct treatments in patients with chronic non-malignant pain. To ease the burden in economic crisis and humanitarian suffering it is important for the community to approach the problem in a multidisciplinary way. Alternative treatments from costly procedures should be considered such as counseling, self-care facilitation, and other forms of cognitive behavioral therapy that can help improve quality of life (Institute of Medicine, n.d.). This project addressed the current community need in managing patients with chronic non-malignant pain and maladaptive thinking or behaviors at the AdventHealth University Hope Clinic. A qualitative study was performed by interviewing key players and identifying barriers and facilitators to determine the feasibility of developing cognitive behavioral therapy as an adjunct treatment for patients within the AdventHealth University Hope Clinic with chronic non-malignant pain. In conclusion, a CBT program is feasible within the AdventHealth Hope Clinic based on the resources currently available as well as the facilitators identified during our qualitative analysis. However, barriers that were identified should be addressed, facilitators pursued, and a pilot study should be performed.
- ItemIdentifying Hotspots of Chronic Non-malignant Pain in Orlando, Florida(2022) Bogard, Jessica; Perry, MartinChronic pain (CP) is a biopsychosocial condition and is one of the most prevalent yet underestimated diagnoses in the world. A reported 50 million people in 2016 experienced CP in the United States, and this number continues to grow exponentially in subgroup variations, such as high-impact CP, which accounts for an additional 19.6 million individuals. A more specific category of CP, chronic non-malignant pain (CNMP), affects 20% of the world’s population. Collectively, CNMP has reduced quality of life, increased debilitating outcomes, and has cost the healthcare system billions of dollars every year. Though the prevalence of CP is well-established globally and nationally, the literature does not identify prevalence of more specific subsets, such as high-impact or non-malignant pain. Furthermore, there is a gap in the literature for CNMP in Orlando, Florida. Therefore, this scholarly project extrapolated existing national data of CP from the Center for Disease Control and Prevention (CDC) and, using a geographical information system (GIS), identified clusters of specific demographics related to CNMP in the Orlando community like sex, age, race, and a household income of less than 100% of the federal poverty line. Utilizing a geographic information system (GIS) we used K-means, empirical bayesian kriging (EBK), and the Getis Ord-Gi statistic to predict rates of clustering of CNMP populations within a 30-minute drive time of AdventHealth hospital main campus in Orlando, separated by census tracts. Hot spots concentrated on the northwest Apopka region due to the population having the highest risk factors for CNMP; being at or below 100% the federal poverty line and age greater than 44 years old. Such statistics can guide the development of health care strategies to appropriately address this debilitating disease and minimize health costs.