METHODS: Eligible studies were included if they used any models to assess the impact of COVID-19 disruptions on any health services. Articles published from January 2020 to December 2022 were identified from PubMed, Embase and CINAHL, using detailed searches with key concepts including COVID-19, modelling and healthcare disruptions. Two reviewers independently extracted the data in four domains. A descriptive analysis of the included studies was performed under the format of a narrative report.
RESULTS: This scoping review has identified a total of 52 modelling studies that employed several models (n=116) to assess the potential impact of disruptions to essential health services. The majority of the models were simulation models (n=86; 74.1%). Studies covered a wide range of health conditions from infectious diseases to non-communicable diseases. COVID-19 has been reported to disrupt supply of health services, demand for health services and social change affecting factors that influence health. The most common outcomes reported in the studies were clinical outcomes such as mortality and morbidity. Twenty-five studies modelled various mitigation strategies; maintaining critical services by ensuring resources and access to services are found to be a priority for reducing the overall impact.
CONCLUSION: A number of models were used to assess the potential impact of disruptions to essential health services on various outcomes. There is a need for collaboration among stakeholders to enhance the usefulness of any modelling. Future studies should consider disparity issues for more comprehensive findings that could ultimately facilitate policy decision-making to maximise benefits to all.
METHOD: Participants aged above 60 years from three ageing cohorts in Malaysia were interviewed virtually. The Fatigue, Resistance, Ambulation, Illness and Loss of Weight scale, blind Montreal Cognitive Assessment, 15-item Geriatric Depression Scale, anxiety subscale of Depression, Anxiety and Stress Scale and four-item Perceived Stress Scale measured frailty, mild cognitive impairment (MCI), depression, anxiety and stress, respectively.
RESULTS: Cognitive frailty data were available for 870 participants, age (mean ± SD) = 73.44 ± 6.32 years and 55.6% were women. Fifty-seven (6.6%) were robust, 24 (2.8%) had MCI, 451 (51.8%) were pre-frail, 164 (18.9%) were pre-frail+MCI, 119 (13.7%) were frail and 55 (6.3%) were frail+MCI. There were significant differences in depression and anxiety scores between the controlled MCO and recovery MCO. Using multinomial logistic regression, pre-frail (mean difference (95% confidence interval, CI) = 1.16 (0.932, 1.337), frail (1.49 (1.235, 1.803) and frail+MCI (1.49 (1.225, 1.822)) groups had significantly higher depression scores, frail (1.19 (1.030, 1.373)) and frail+MCI (1.24 (1.065, 1.439)) had significantly higher anxiety scores and pre-frail (1.50 (1.285, 1.761)), frail (1.74 (1.469, 2.062)) and frail+MCI (1.81 (1.508, 2.165)) had significantly higher stress scores upon adjustments for the potential confounders. The MCO was a potential confounder in the relationship between depression and prefrail+MCI (1.08 (0.898, 1.340)).
CONCLUSION: Frail individuals with or without MCI had significantly higher depression, anxiety and stress than those who were robust. Increased depression and stress were also observed in the pre-frail group. Interventions to address psychological issues in older adults during the COVID-19 pandemic could target prefrail and frail individuals and need further evaluation.
METHODOLOGY: Latest telemedicine guidelines of the South Asia Region of the WHO were accessed using the official government websites of the countries. The guidelines that were not in the English language were translated into English using Google Translate. The guidelines were analyzed and presented under the following subheadings: (1) Definitions, Purpose, and Tools of Telemedicine; (2) Clinical Aspects of Telemedicine; and (3) Operational and Technical Aspects of Telemedicine.
RESULTS: Investigating the telemedicine guidelines in the SEAR of the WHO revealed that only 5 out of 11 countries, that is, India, Bangladesh, Thailand, Indonesia and Nepal, have guidelines specifically for telemedicine. Besides Thailand, the other four countries either published (India, Nepal, and Bangladesh) or updated (Indonesia) their telemedicine guidelines after the onset of the COVID-19 pandemic. Guidelines from India and Bangladesh are detailed and robust compared with those from Nepal, Indonesia, and Thailand.
CONCLUSION: Telemedicine guidelines need to be more robust to improve the uptake of the service. Further research is needed to explore the effectiveness of implementing these guidelines.
METHODS: MON extract phytochemical analysis was conducted to examine active compounds such as flavonoids, saponins, quinones, alkaloids, tannins, terpenoids, and steroids. The 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay for antioxidant capacity was evaluated, and gas chromatography-mass spectrometry for the detection of volatile active compounds in MON extract was performed. Turax was used to create MON extract at concentrations of 1% and 2%, and then a particle size analysis was carried out. Prevotella intermedia (Pi), Porphyromonas gingivalis (Pg), Aggregatibacter actinomycetemcomitans (Aa), and Fusobacterium nucleatum (Fn) were tested for antibacterial activity of MON extract, comparing them with doxycycline as the reference drug and using the minimal inhibitory concentration (MIC), minimal bactericidal concentration (MBC), and diffusion zone methods.
RESULTS: MON extract has lower antioxidant capacity than vitamin C. Flavonoids, saponins, quinones, alkaloids, tannins, terpenoids, and steroids were found in MON extract. 1% and 2% of MON extract has 10-40 d nm particle size. MIC, MBC and diffusion examination of 1% and 2% MON extract on Aa, Pg, Pi, and Fn were seen at concentrations of 25% and 12.5% with significantly different (p
METHODS: A web-based survey on societal influence and COVID-19-related psychological distress was distributed through social media in November-December 2021, and received 396 responses.
RESULTS: This study showed that almost 50% of respondents faced psychological distress during the early phase of the Omicron variant, especially concerning hypervigilance and avoidance. Several sociodemographic factors might contribute to the incidence of psychological distress including comorbidity, age and education.
CONCLUSION: Taken together, the incidence of COVID-19-related psychological distress was still found in the early phase of the Omicron variant, especially among young adults.
PATIENTS AND METHODS: A community-based cross-sectional study was conducted at various sites in Karachi, Pakistan, from February 2022 to August 2022. Newly diagnosed cases of MetS with no physical disability, known illness, and not taking any regular medication were recruited. MetS was defined based on the definition of International Diabetes Federation. The major outcome was 10-year risk for CVD using the FRS and Globorisk Score.
RESULTS: Of 304 patients, 59.2% were classified as low risk according to FRS, while 20.4% were classified as moderate and high risk each. Using the Globorisk score, 44.6% of 224 patients were classified as low risk, 34.4% as moderate risk, and 21.0% as high risk. A moderate positive correlation was observed between the two CVD risk scores (r = 0.651, 95% CI 0.58-0.71). Both risk scores have reported age, gender, and current smokers as significant risk factors in predicting CVD in 10-years (P < 0.05).
CONCLUSION: The outcome of both CVD risk scores predicted moderate-to-high risk of CVD in 10-years in almost half of the newly diagnosed patients with MetS. In particular, the risk of development of CVD in 10-years in newly diagnosed MetS is higher with increasing age, in male gender, and current smokers.