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Background: Patients with lumbar spondylolisthesis typically suffer from symptom discomfort and various degrees of disability for months or years prior to receiving surgical treatments. Knowing the factors that influence the disability status of these patients will help healthcare providers develop effective preventive measures. Purpose: To explore preoperative disability and its important predictive factors in patients with lumbar spondylolisthesis Methods: A predictive correlational design was used and a convenience sample of eighty-six lumbar spondylolisthesis preoperative patients were recruited from a medical center in northern Taiwan. Data were collected using a study questionnaire, which included the Oswestry disability index, the revised geriatric depression scale-short form, and a pain numeric rating scale. Results: The average disability index of the participants was 48.52 (SD = 16.14). The multiple linear regression analyses identified lower back pain, depression, age, and gender as significant predictors of preoperative disability, collectively explaining 40.9% of the variation in disability severity. Being female, being older, having a higher degree of lower back pain, and having depression were significantly associated with preoperative disability. Conclusions/Implications for Practice: The results of the present study indicate that lumbar spondylolisthesis patients who are older in age, female, currently experiencing lower back pain, and suffering from depression face a higher risk of preoperative disability. Patients in these at-risk categories should be assessed actively and provided with appropriate patient education in order to enhance their quality of life. [ABSTRACT FROM AUTHOR]

Background: Taking antibiotics in strict adherence to physician prescriptions is crucial for maintaining the stability of the drug concentration in the blood and for achieving the best therapeutic effects. The increasing antimicrobial resistance in recent decades has led the Ministry of Health and Welfare to promote the rational use of antibiotics and the use of a computer monitoring system to control the use of antibiotics in hospitals. Although non-adherence is considered as the major factor contributing to antimicrobial resistance, patient non-adherence to antibiotic prescriptions is an issue that has been largely overlooked. This paper explores this issue due to the serious threat from antimicrobial resistance and the few studies that have investigated patient adherence to antibiotic treatments for acute infections in Taiwan. Purpose: The aims of the study include: (1) describe patient's adherence to antibiotic therapy for acute infections and (2) explore the potential factors of influence on antibiotic adherence such as demographics, disease characteristics, and knowledge of antibiotic treatment. Methods: The study used a descriptive correlational design. A convenience sample of 162 patients with acute infections was recruited from outpatient infectious disease clinics in Taoyuan City. Data were collected using the study questionnaire and analyzed using the chi-square test, Mann-Whitney U test, and logistic regression. Results: The study results showed that only 40.1% of patients followed their prescription to take antibiotics completely. The remainder earned lower scores than their prescription-adhering counterparts for knowledge regarding the effects of antibiotics (U = 2654.5, p = .046). Results of logistic regression showed that knowledge regarding the effects of antibiotics was the most significant predictor (B = .481, p = .046) of adherence to antibiotic therapies. Conclusion: Non-adherence to prescriptions is prevalent in short-term antibiotic treatments prescribed for acute infections. This finding reminds healthcare providers to provide proper education to the recipients of antibiotic treatments, even those treated for a very short duration for acute infections in outpatient settings. Special attention should be pay to enhancing the understanding and appreciation of patients for the therapeutic effects of antibiotics. [ABSTRACT FROM AUTHOR]