AIM: This study aimed to compare the efficacy of adding Insulin to dual OHAs (Sitagliptin + Metformin) against adding a third OHA to Sitagliptin + Metformin in achieving glycemic control among patients with uncontrolled T2DM.
METHOD: A pre-post study was conducted between 21 September 2023 and 21 December 2023 at Services Hospital Peshawar, Pakistan. Patients with uncontrolled T2DM with >7% HbA1c were divided into group 1 (Sitagliptin + Metformin plus a third OHA), and group 2 (Sitagliptin + Metformin plus pre-mixed Insulin 70/30). Glycemic control based on HbA1c values, fasting and random blood sugar levels, lipid profile, and body weight were evaluated after 3 months of therapy. The pre- and post- effect was compared by using a paired t-test.
RESULTS: The study included n = 80 patients with T2DM. Between groups 1 and 2, no significant difference was found in HbA1c values (9.1 vs. 9, with p = 0.724). However, BMI, cholesterol, and LDL significantly decreased in group 1 compared to group 2 (p<0.001 vs. p = 0.131, p = 0.023 vs. p = 0.896, and p = 0.003 vs. p = 0.395, respectively). Additionally, the incidence of hypoglycemic episodes was significantly lower in group 1 (7.5%) than in group 2 (47.5%, p = 0.004). No significant difference was observed between the triple OHA and dual OHA plus Insulin regimens in achieving glycemic control.
CONCLUSION: The triple OHA regimen improved BMI, cholesterol, and LDL levels, and reduced hypoglycemic episodes more effectively than dual OHA plus Insulin, despite similar HbA1c outcomes, suggesting it may be preferable for uncontrolled T2DM.
METHODS: Using a narrative qualitative approach, we conducted in-depth one-on-one interviews with six pharmacists, delving into their personal experiences with topics such as medicine classification and the broader systems for medication provision. The collected narratives were analysed through a rigorous thematic analysis, following the framework established by Braun & Clarke.
RESULTS: Five themes emerged from the data: nuances of Brunei Darussalam's medicine dispensing landscape across both public and private sectors; accessibility and regulatory framework of medicines both in Brunei Darussalam and abroad; prospective implementations to enhance the current system; and the evolving role and expectations of pharmacists in the current healthcare environment. Notably, a significant contribution of this study was the illumination of the differential perspectives between pharmacists operating in governmental versus private contexts.
CONCLUSION: This study sheds light on the previously under-explored domain of Brunei Darussalam's medicine control governance and medicine dispensing system. By drawing from the first-hand experiences of practicing pharmacists, it offers actionable insights that could guide future policy developments, optimise medicine dispensation and regulation, and shape the evolving role of pharmacists in Brunei Darussalam.
METHODS: This study uses data from the Global Burden of Disease (GBD) study spanning 1990-2021 to analyze PCa trends in CEE. We assessed age-standardized rates (ASRs) of PCa to identify trend changes through joinpoint regression analysis, explored regional disparities using QGIS software, and made projections for 2031 using the ARIMA model.
RESULTS: Eastern Europe experienced greater changes across health metrics compared to Central Europe, with higher average annual percentage change values for incidence, prevalence, mortality, and DALYs rates. In 2021, Lithuania and Estonia recorded the highest PCa prevalence rates, while Estonia had the highest total percentage change (240.3). Estonia and Latvia also had the highest mortality rates (34.1 and 33.6 per 100,000, respectively). CEE's prevalence rates are projected to remain stable.
CONCLUSION: The findings highlight significant regional disparities in the burden of prostate cancer in CEE. Efforts to address these disparities should focus on enhancing diagnostic programs and treatment access, particularly in Eastern Europe, to reduce the ongoing burden of PCa in the region.
METHOD: Children were supplemented with L-carnosine (10-15 mg/kg) along with standard care therapies for 2 months. Before and after supplementation, scores on the ATEC, CARS2-ST, BEARS sleep screening tool, 6-item Gastrointestinal Severity Index, and Parental Stress Scale were evaluated, and L-carnosine was measured at the end of the trial.
RESULTS: The calibration curve was linear in the range of 100-600 ng/mL (R2 = 0.998). The level of L-carnosine quantified was 33.7 ± 0.2 ng/mL. There was no significant difference found in any of the outcome measures (p > 0.05).
CONCLUSIONS: Despite the fact that L-carnosine is detectable in the blood, it was found to be ineffective in the management of ASD in children.
CLINICAL TRIAL REGISTRATION: The study was registered in the Clinical Trial Registry-India, registration number: CTRI/2019/07/020102.
OBJECTIVE: This study aims to analyze and evaluate the contents as well as features of COVID-19 mobile apps. The findings are instrumental in helping health care professionals to identify suitable mobile apps for COVID-19 self-monitoring and education. The results of the mobile apps' assessment could potentially help mobile app developers improve or modify their existing mobile app designs to achieve optimal outcomes.
METHODS: The search for the mHealth apps available in the android-based Play Store and the iOS-based App Store was conducted between April 18 and May 5, 2020. The region of the App Store where we performed the search was the United States, and a virtual private network app was used to locate and access COVID-19 mobile apps from all countries on the Google Play Store. The inclusion criteria were apps that are related to COVID-19 with no restriction in language type. The basic features assessment criteria used for comparison were the requirement for free subscription, internet connection, education or advisory content, size of the app, ability to export data, and automated data entry. The functionality of the apps was assessed according to knowledge (information on COVID-19), tracing or mapping of COVID-19 cases, home monitoring surveillance, online consultation with a health authority, and official apps run by health authorities.
RESULTS: Of the 223 COVID-19-related mobile apps, only 30 (19.9%) found in the App Store and 28 (44.4%) in the Play Store matched the inclusion criteria. In the basic features assessment, most App Store (10/30, 33.3%) and Play Store (10/28, 35.7%) apps scored 4 out of 7 points. Meanwhile, the outcome of the functionality assessment for most App Store apps (13/30, 43.3%) was a score of 3 compared to android-based apps (10/28, 35.7%), which scored 2 (out of the maximum 5 points). Evaluation of the basic functions showed that 75.0% (n=36) of the 48 included mobile apps do not require a subscription, 56.3% (n=27) provide symptom advice, and 41.7% (n=20) have educational content. In terms of the specific functions, more than half of the included mobile apps are official mobile apps maintained by a health authority for COVID-19 information provision. Around 37.5% (n=18) and 31.3% (n=15) of the mobile apps have tracing or mapping and home monitoring surveillance functions, respectively, with only 17% (n=8) of the mobile apps equipped with an online consultation function.
CONCLUSIONS: Most iOS-based apps incorporate infographic mapping of COVID-19 cases, while most android-based apps incorporate home monitoring surveillance features instead of providing focused educational content on COVID-19. It is important to evaluate the contents and features of COVID-19 mobile apps to guide users in choosing a suitable mobile app based on their requirements.
Methods: An online questionnaire survey method was used. Based on sample size calculation, a total of 1,508 UiTM staff and students from ten selected campuses of Universiti Teknologi MARA (UiTM) were invited to participate in this survey. An up-to-date e-mail list of staff in the selected campuses was used as the sampling frame for the study, whereas the students were recruited from the official university student Facebook portal.
Results: A total of 788 respondents participated in this survey, 72.2% of them knew about facial candling, though only 35.4% had tried the treatment. Approximately one-fifth of respondents agreed that facial candling might treat AR. It was found that a higher number of users than nonusers agreed that facial candling was a traditional medicine (78.9% vs 55.0%); could be used on the face and ears (83.5% vs 45.4%); and could be self-administered at home (83.5 vs 45.4%). Interestingly, more than half of them were uncertain about its long-term effects and adverse reactions.
Conclusion: This study confirms the facial candling use among patients with AR although the percentage is low. The patients and general public need to be better informed about the use of facial candling in AR and its associated risks.
OBJECTIVE: The aim of this study was to systematically review studies on the use of blockchain technology in health care and to analyze the characteristics of the studies that have implemented blockchain technology.
METHODS: This study used a systematic review methodology to find literature related to the implementation aspect of blockchain technology in health care. Relevant papers were searched for using PubMed, SpringerLink, IEEE Xplore, Embase, Scopus, and EBSCOhost. A quality assessment of literature was performed on the 22 selected papers by assessing their trustworthiness and relevance.
RESULTS: After full screening, 22 papers were included. A table of evidence was constructed, and the results of the selected papers were interpreted. The results of scoring for measuring the quality of the publications were obtained and interpreted. Out of 22 papers, a total of 3 (14%) high-quality papers, 9 (41%) moderate-quality papers, and 10 (45%) low-quality papers were identified.
CONCLUSIONS: Blockchain technology was found to be useful in real health care environments, including for the management of electronic medical records, biomedical research and education, remote patient monitoring, pharmaceutical supply chains, health insurance claims, health data analytics, and other potential areas. The main reasons for the implementation of blockchain technology in the health care sector were identified as data integrity, access control, data logging, data versioning, and nonrepudiation. The findings could help the scientific community to understand the implementation aspect of blockchain technology. The results from this study help in recognizing the accessibility and use of blockchain technology in the health care sector.