Effectiveness of telehealth on the glycemic control of patients with type 2 diabetes mellitus during the COVID-19 pandemic: A systematic review and meta-analysis of randomised controlled trials.

Background: During the COVID-19 pandemic, telehealth was employed to enhance clinical outcomes for patients with type 2 diabetes mellitus. However, the effectiveness of telehealth remains inconclusive. Objective: This study aimed to examine the impact of telehealth on the glycemic control of individuals with type 2 diabetes mellitus during the pandemic. Design: A systematic review and meta-analysis of randomized controlled trials. Setting: N/A. Participants: A total of 669 studies was sourced from electronic databases, including EMBASE, PubMed, and Scopus. Among these, twelve randomized controlled trials, comprising 1498 participants, were included. Methods: A comprehensive search was performed in electronic databases. The quality of the included studies was assessed using the Cochrane Risk of Bias tool, and statistical heterogeneity was assessed using I² and Cochran's Q tests. A random-effects model was utilized to combine the outcomes. Grading of Recommendations, Assessment, Development, and Evaluations was used to evaluate the certainty of the evidence. Results: The meta-analysis showed that participants receiving a telehealth intervention achieved a greater reduction in the glycated haemoglobin (HbA1C) compared to those receiving usual care, with a weighted-mean difference of -0.59 (95 % CI -0.84 to -0.35, p < .001, I² = 74.1 %, high certainty of evidence). Additionally, participants receiving telehealth interventions experienced better secondary outcomes, including a reduction in fasting blood sugar (16.06 %, 95 %CI -29.64 to -2.48, p = .02, high certainty of evidence), a decrease in body mass index (1.5 %, 95 %CI -1.98 to -1.02, p < .001, high certainty of evidence), and a decrease in low-density lipoprotein (7.8 %, 95 %CI -14.69 to -0.88, p = .027, low certainty of evidence). Conclusions: In our review, we showed telehealth's positive impact on glycaemic control in type 2 diabetes mellitus patients. Healthcare professionals can use telehealth in diabetes care. Caution is needed due to heterogeneity of the results. Further research should explore the long-term impacts of telehealth interventions. Registration: The study was registered with PROSPERO, CRD42022381879.

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.

Effects of home drug delivery on drug-related problems: preliminary evidence for improved patient outcomes during the COVID-19 pandemic in Thailand.

BACKGROUND: Drug-related problems cause severe disabilities, premature deaths, and unnecessary costs. Telepharmacy offer easier access to needed medications, preventing DRPs. Adoption has been slow, and it is unclear what aspects of telepharmacy are most important. The COVID-19 pandemic disrupted health services, forcing the rapid adoption of telepharmacy. In Phayao, Thailand, a program was implemented for home delivery of drugs for patients with chronic disease. OBJECTIVES: This study aimed to explore the prevalence and factors associated with DRPs of patients with chronic disease who received home drug-delivery services. METHODS: A cross-sectional study was undertaken in Phayao Province located in North Thailand. Simple random sampling was used to select patients from 6 public hospitals between July and August 2020. Logistic regression was used to analyze multivariate factors that might be related to DRPs. RESULTS: A total of 246 participants reported at least 1 DRP (49.30%). Most participants were female (58.32%) with elementary education (60.72%). Their mean age was 63.69 (SD = 12.97) years. The 5 most common DRPs were changes of drug packaging or drug brands (18.84%), leftover medications of more than 2 weeks (18.44%), nonadherence (17.43%), having conditions or diseases requiring additional medications (6.81%), and adverse drug reactions (5.21%). Univariate analysis identified number of chronic conditions, diabetes mellitus, dyslipidemia, chronic kidney disease, education level, and drug-delivery channel as predictors of DRPs. In multivariate analysis, predictors of DRPs were the number of drugs used per day (adjusted odds ratio [aOR] 1.11 [95% CI 1.03-1.19], P = 0.004) and dyslipidemia (aOR 1.83 [95% CI 1.18-2.84], P = 0.007). Nonadherence was associated with leftover medicines (aOR 4.22 [95% CI 2.44-7.28], P < 0.001) CONCLUSION: The present results indicate that home delivery caused no increase and may have caused a decrease in DRPs, and patients were highly satisfied. These promising results suggest that home delivery should be continued and further investigated even as the COVID-19-induced emergency subsides.

Clinical and economic outcomes attributable to carbapenem-resistant Enterobacterales and delayed appropriate antibiotic therapy in hospitalized patients.

OBJECTIVE: To assess the impact of carbapenem resistance and delayed appropriate antibiotic therapy (DAAT) on clinical and economic outcomes among patients with Enterobacterales infection. METHODS: This retrospective cohort study was conducted in a tertiary-care medical center in Thailand. Hospitalized patients with Enterobacterales infection were included. Infections were classified as carbapenem-resistant Enterobacterales (CRE) or carbapenem-susceptible Enterobacterales (CSE). Multivariate Cox proportional hazard modeling was used to examine the association between CRE with DAAT and 30-day mortality. Generalized linear models were used to examine length of stay (LOS) and in-hospital costs. RESULTS: In total, 4,509 patients with Enterobacterales infection (age, mean 65.2 ±18.7 years; 43.3% male) were included; 627 patients (13.9%) had CRE infection. Among these CRE patients, 88.2% received DAAT. CRE was associated with additional medication costs of $177 (95% confidence interval [CI], 114­239; P < .001) and additional in-hospital costs of $725 (95% CI, 448­1,002; P < .001). Patients with CRE infections had significantly longer LOS and higher mortality rates than patients with CSE infections: attributable LOS, 7.3 days (95% CI, 5.4­9.1; P < .001) and adjusted hazard ratios (aHR), 1.55 (95% CI, 1.26­1.89; P < .001). CRE with DAAT were associated with significantly longer LOS, higher mortality rates, and in-hospital costs. CONCLUSION: CRE and DAAT are associated with worse clinical outcomes and higher in-hospital costs among hospitalized patients in a tertiary-care hospital in Thailand.

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.