Effects of instructional video and community radio broadcasting interventions to improve knowledge and behavior of antibiotic use in the COVID-19 era.

BACKGROUND: Antibiotic overuse is a serious health issue. It has been demonstrated that improper antibiotic use is linked to a lack of knowledge in the public. To encourage judicious antibiotic use in the COVID-19 ERA, it is critical to provide accessible and secure therapies. OBJECTIVES: This study aimed to assess the effects of instructional video and community radio broadcasting interventions on knowledge and behavior of antibiotic use. METHODS: Adults over the age of 20 were enrolled in a quasi-experimental study. A total of 369 representatives were divided into two groups: 185 participants in the control group and 184 participants in the intervention group. Data were collected twice, before and after the educational program by community health workers. Both descriptive and inferential statistics were used to analyze the data. RESULTS: The participants' average age was 56.4 ± 0.6 years. Most of the respondents were female (264, 71.5%) and had only received an elementary education (186, 50.4%). A mean difference score was produced for the control and intervention groups. Both groups experienced a statistically significant gain in mean difference score of knowledge following the educational program (3.42 ± 4.18, [95% CI 2.81-4.02] vs 5.42 ± 4.97, [95% CI 4.69-6.14]) (P < 0.001). A mean difference score was produced with behavior (1.78 ± 3.45, [95% CI 1.28-2.28] vs 2.77 ± 3.06, [95% CI 2.28-3.27]) (P < 0.001). A mean difference in knowledge score between the groups was greater, with the intervention group scoring higher; all significant variables were controlled by multivariable regression analysis (1.31 [95% CI 0.53-2.09]) (P = 0.001). Similarly, a mean difference behavior score (1.34 [95% CI 0.82-1.86]) (P < 0.001). CONCLUSION: The integration of an educational poster, instructional video, and community radio broadcasting interventions about antibiotic use through CHWs in local communities is beneficial. This program should be implemented at the national level to promote rational drug use. Future studies should investigate how the educational program affects antibiotic use rates in the long term.

Novel Clinical Risk Scoring Model for Predicting Amputation in Patients With Necrotizing Fasciitis: The ANF Risk Scoring System.

Background: Necrotizing fasciitis (NF) is a life-threatening infection of the skin and soft tissue that spreads quickly and requires immediate surgery and medical treatment. Amputation or radical debridement of necrotic tissue is generally always required. The risks and benefits of both the surgical options are weighed before deciding whether to amputate or debride. This study set forth to create an easy-to-use risk scoring system for predicting the risk scoring system for amputation in patients with NF (ANF). Methods: This retrospective study included 1,506 patients diagnosed with surgically confirmed NF at three general hospitals in Thailand from January 2009 to December 2012. All diagnoses were made by surgeons who strictly observed the guidelines for skin and soft tissue infections produced by the Infectious Diseases Society of America. Patients were randomly allocated to either the derivation (n = 1,193) or validation (n = 313) cohort. Clinical risk factors assessed at the time of recruitment were used to create the risk score, which was then developed using logistic regression. The regression coefficients were converted into item scores, and the total score was calculated. Results: The following four clinical predictors were used to create the model: female gender, diabetes mellitus, wound appearance stage 3 (skin necrosis and gangrene), and creatinine ≥1.6 mg/dL. Using the area under the receiver operating characteristic curve (AuROC), the ANF system showed moderate power (78.68%) to predict amputation in patients with NF with excellent calibration (Hosmer-Lemeshow χ2 = 2.59; p = 0.8586). The positive likelihood ratio of amputation in low-risk (score ≤ 4) and high-risk (score ≥ 7) patients was 2.17 (95%CI: 1.66-2.82) and 6.18 (95%CI: 4.08-9.36), respectively. The ANF system showed good performance (AuROC 76.82%) when applied in the validation cohort. Conclusion: The developed ANF risk scoring system, which includes four easy to obtain predictors, provides physicians with prediction indices for amputation in patients with NF. This model will assist clinicians with surgical decision-making in this time-sensitive clinical setting.

Novel clinical risk scoring model for predicting mortality in patients with necrotizing fasciitis: The MNF scoring system.

ABSTRACT: Necrotizing fasciitis (NF) is a life-threatening soft tissue infection that rapidly progresses and requires urgent surgery and medical therapy. If treatment is delayed, the likelihood of an unfavorable outcome, including death, is significantly increased. The goal of this study was to develop and validate a novel scoring model for predicting mortality in patients with NF. The proposed system is hereafter referred to as the Mortality in Necrotizing Fasciitis (MNF) scoring system. A total of 1503 patients with NF were recruited from 3 provincial hospitals in Thailand during January 2009 to December 2012. Patients were randomly allocated into either the derivation cohort (n = 1192) or the validation cohort (n = 311). Clinical risk factors used to develop the MNF scoring system were determined by logistic regression. Regression coefficients were transformed into item scores, the sum of which reflected the total MNF score. The following 6 clinical predictors were included: female gender; age > 60 years; white blood cell (WBC) ≤5000/mm3; WBC ≥ 35,000/mm3; creatinine ≥ 1.6 mg/dL, and pulse rate > 130/min. Area under the receiver operating characteristic curve (AuROC) analysis showed the MNF scoring system to have moderate power for predicting mortality in patients with NF (AuROC: 76.18%) with good calibration (Hosmer-Lemeshow χ2: 1.01; P = .798). The positive likelihood ratios of mortality in patients with low-risk scores (≤2.5) and high-risk scores (≥7) were 11.30 (95% confidence interval [CI]: 6.16-20.71) and 14.71 (95%CI: 7.39-29.28), sequentially. When used to the validation cohort, the MNF scoring system presented good performance with an AuROC of 74.25%. The proposed MNF scoring system, which includes 6 commonly available and easy-to-use parameters, was shown to be an effective tool for predicting mortality in patients with NF. This validated instrument will help clinicians identify at-risk patients so that early investigations and interventions can be performed that will reduce the mortality rate among patients with NF.