Perioperative antimicrobial prophylaxis is effective in reducing the rate of surgical site infections (SSIs); however, non-adherence to surgical antimicrobial prophylaxis protocols can lead to several negative outcomes. We performed a before-and-after intervention study with the aim of improving the process outcome, including adherence to guidelines. Another objective of this study was to investigate improvement in patient outcomes as a result of adherence to a surgical antimicrobial prophylaxis programme. The indicators of improved patient outcomes were a reduction in overall SSI rate and the decreased cost of antibiotics. SSI rate was calculated as a percentage by dividing the number of SSIs by the total number of surgeries and then multiplying the value obtained by 100%. The interventions implemented in the surgical antimicrobial prophylaxis programme included establishment of a guideline, educational sessions, and a monthly revision of prescriptions. Our findings show that implementation of the interventions resulted in reduced antibiotic consumption, a considerable decrease in the cost of prophylaxis, and a decrease in the incidence of SSIs.
This study explored the sociodemographic and clinical characteristics of patients with diabetes who incorporated two non-pharmacological therapies into their lifestyle and the association between non-pharmacological therapy and healthcare utilization and expenditure. In the USA, 26.4 million people were reportedly diagnosed with diabetes and treated with diet modification or physical activity in the 2019 Medical Expenditure Panel Survey. Physical activity was defined as moderate-to-vigorous physical exercise five times per week, whereas dietary modification involved healthy eating that reduced glucose levels. Only 4.8 million patients with diabetes did not integrate any non-pharmacological intervention into their therapy regimen. Those who did not include non-pharmacological interventions had higher annual total healthcare expenditures (M = $18,428) than those who incorporated either single (M = $17,058) or dual intervention (M = $15,134). A significant difference was observed in prescribed medicine utilization per year for those who did not include lifestyle modifications or non-pharmacological interventions. Propensity score-matched participants revealed significant differences in hospital stays, outpatient visits, and emergency department expenditures. Patients with diabetes who adhered to two non-pharmacological interventions showed significantly lower healthcare utilization. Being active and following a healthy diet can help prevent the progression of diabetes mellitus complications and reduce the cost associated with diabetes.
Cardiovascular diseases are a major cause of death globally. Epidemiological evidence has linked elevated levels of blood cholesterol with the risk of coronary heart disease. However, lipid-lowering agents, despite their importance for primary prevention, are significantly underused in the United States. The objective of this study was to explore associations among socioeconomic factors and the use of antihyperlipidemic agents in 2018 in U.S. patients with hyperlipidemia by applying a theoretical framework. Data from the 2018 Medical Expenditure Panel Survey were used to identify the population of non-institutionalized U.S. civilians diagnosed with hyperlipidemia. This cross sectional study applied the Andersen Behavioral Model to identify patients’ predisposing, enabling, and need factors. Approximately 43 million non-institutionalized adults were diagnosed with hyperlipidemia. With the exception of gender and race, predisposing factors indicated significant differences between patients who used antihyperlipidemic agents and those who did not. The relation between income level and use of antihyperlipidemic agents was significant: X2 (4, N = 3,781) = 7.09, p <.001. Hispanic patients were found to be less likely to receive treatment (OR: 0.62; 95% CI: 0.43–0.88), as observed using a logistic model, with controls for predisposing, enabling, and need factors. Patients without health insurance were less likely to use lipid-lowering agents (OR: 0.33; 95% CI: 0.14–0.77). The present study offers essential data for prioritizing interventions by health policy makers by identifying barriers in utilizing hyperlipidemia therapy. Non-adherence to treatment may lead to severe consequences and increase the frequency of fatal cardiac events in the near future.
1 March 2022 in Diabetes, Metabolic Syndrome and Obesity
Purpose: This research was intended to explore the effects of new-generation basal insulin (degludec U100 And glargine U300) versus long-acting basal insulin (glargine U100, detemir) on the incidence of diabetic ketoacidosis episodes and diabetes treatment measures. Patients and methods: This is a cross-sectional, retrospective medical record analysis. The study population included adults with type 1 diabetes mellitus (DM) who were on the hospital records in 2020. Data were collected from 221 eligible participants through review of electronic medical records. Each record was scanned for basal insulin type, total daily insulin dose, diabetic ketoacidosis (DKA) occurrences, and glycated hemoglobin A1C (HbA1c) levels. Data were collected from 6 months before to 6 months after the initiation of ultra-long-acting insulin. Statistical analysis was conducted using R version 3.5.2. The normality of distribution for each independent variable was verified using Shapiro–Wilk tests. The independent paired t-test was used to compare insulin therapy measures between the two insulin regimens. The main outcome measures were the incidence of DKA episodes and clinical outcomes associated with diabetes. Results: The HbA1c did not change significantly before and after ultra-long-acting insulin therapy was initiated (9.9 vs 9.8, respectively; P > 0.05). Insulin total daily doses were significantly higher after shifting to ultra-long-acting insulin. Sub-analysis showed higher total daily insulin doses in glargine U300 users compared with degludec U100 users (P =0.0021). However, basal insulin doses did not change after treatment with ultra-long-acting insulin. No statistically significant difference in DKA occurrences was found before and after the start of ultra-long-acting insulin treatment. Conclusion: The frequency of DKA episodes was not affected by changing the treatment to ultra-long-acting insulin. Moreover, the results suggest that insulin dosage and types are not the only cause of uncontrolled diabetes. Additional efforts should be made to cover all factors affecting diabetes complication control.
An important factor for averting depression and creating awareness about clinical treatment is patient preference. Therefore, investigating health-related quality of life associated with different antidepressants is necessary. A retrospective cohort study was performed using the 2018 Medical Expenditure Panel Survey. The MEPS is a nationally representative database of the civilian and noninstitutionalized population spanning different ages, both sexes, and a wide range of sociodemographic and economic backgrounds. Differences in clinical and sociodemographic characteristics among patients using different antidepressant classes were explored. The differences in Veterans RAND 12-Item Health Survey (VR-12) results among groups were examined. The VR-12 metric was used since it measures a patient’s overall perspective of their health. Approximately 34.6 million of the patients reported using at least one antidepressant during 2018. Most patients receiving tricyclic therapy reported substantially better mental HRQoL than patients receiving selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), or combination therapy. Patients receiving atypical antidepressants reported substantially better mental HRQoL than those receiving other types of antidepressants. Most patients reported a substantial decline in HRQoL after SNRIs or combination therapy. This study found that HRQoL varied across antidepressant users. Thus, health care providers could benefit from taking into consideration quality of life when prescribing antidepressant agents. Moreover, further research is needed to explore other factors that could contribute to the quality of care for patients with depression.