METHODS: We conducted a cross-sectional study and adopted convenience sampling to recruit participants. The participants were required to self-report their sociodemographic profile, social media use and needs, and QoL. Social media use and needs were assessed using the Social Networking Sites Uses and Needs (SNSUN) scale, and QoL was assessed using the WHOQOL-BREF questionnaire. Multiple linear regression was performed to identify the predictors of QoL.
RESULTS: The findings revealed that the fulfilment of social integrative needs was the strongest predictor of higher QoL in all domains. However, those using social media for their affective needs demonstrated lower psychological health quality.
CONCLUSIONS: Fulfilling social integrative needs is the key to improving the QoL among older adults. The continuous development of age-friendly applications is essential to keep up with constantly changing social media trends and bridge the gap of social media inequalities. More importantly, it would enable older adults to utilize social media to its fullest potential and enjoy a higher QoL through accessible health communication tools.
METHODS: Using a simple random sampling method, a retrospective community-based cross-sectional study was conducted from July 12, 2021 to October 17, 2021, among 306 postnatal women within 15 to 49 years who had delivered within the last six months. We conducted descriptive analyses, and the Pearson chi-square test of association between the sociodemographic factors and obstetrics history with the outcome variable, choice of place of birth. Lastly, significant variables in the chi-square test were entered into adjusted multivariate logistics regression to determine their association with the place of delivery. Data analysis was performed using the Statistical Package for Social Sciences version-25, with statistical significance set at a p-value of 0.05.
RESULTS: The study reported a facility delivery rate of 82%, which is slightly higher than the national target (80%). We observed that age group [AOR 2.34 (1.07-5.14)], marital status [AOR 0.31 (0.12-0.81)], ethnicity [AOR 3.78 (1.18-12.13)], and couple's occupation [AOR 24.74 (2.51-243.91)] were the significant sociodemographic factors influencing facility delivery. The number of antenatal care (ANC) attendance [AOR 8.73 (3.41 - 22.2)] and previous pregnancy complications [AOR 2.4 (1.11 - 5.7)] were the significant obstetrics factors influencing facility delivery.
CONCLUSION AND GLOBAL HEALTH IMPLICATIONS: We found that specific sociodemographic and obstetric factors significantly influence the choice of place of delivery in the study area. To address this, the study recommends targeted interventions that focus on providing support and resources for women from different age groups, marital statuses, ethnicities, and occupational backgrounds to access facility delivery services. Additionally, improving ANC attendance and effectively managing pregnancy complications were highlighted as important measures to encourage facility-based deliveries.
OBJECTIVE: This umbrella review synthesizes findings from systematic reviews and meta-analyses to provide insights into global perceptions on COVID-19 vaccine acceptance and hesitancy across diverse populations and regions.
METHODS: We conducted a literature search across major databases to identify systematic reviews and meta-analysis that reported COVID-19 vaccine acceptance and hesitancy. The AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews) criteria were used to assess the methodological quality of included systematic reviews. Meta-analysis was performed using STATA 17 with a random effect model. The data synthesis is presented in a table format and via a narrative.
RESULTS: Our inclusion criteria were met by 78 meta-analyses published between 2021 and 2023. Our analysis revealed a moderate vaccine acceptance rate of 63% (95% CI 0.60%-0.67%) in the general population, with significant heterogeneity (I2 = 97.59%). Higher acceptance rates were observed among health care workers and individuals with chronic diseases, at 64% (95% CI 0.57%-0.71%) and 69% (95% CI 0.61%-0.76%), respectively. However, lower acceptance was noted among pregnant women, at 48% (95% CI 0.42%-0.53%), and parents consenting for their children, at 61.29% (95% CI 0.56%-0.67%). The pooled vaccine hesitancy rate was 32% (95% CI 0.25%-0.39%) in the general population. The quality assessment revealed 19 high-quality, 38 moderate-quality, 15 low-quality, and 6 critically low-quality meta-analyses.
CONCLUSIONS: This review revealed the presence of vaccine hesitancy globally, emphasizing the necessity for population-specific, culturally sensitive interventions and clear, credible information dissemination to foster vaccine acceptance. The observed disparities accentuate the need for continuous research to understand evolving vaccine perceptions and to address the unique concerns and needs of diverse populations, thereby aiding in the formulation of effective and inclusive vaccination strategies.
TRIAL REGISTRATION: PROSPERO CRD42023468363; https://tinyurl.com/2p9kv9cr.
METHODS: We conduct a side-by-side comparison of the machine learning approach with the traditional time series model. The multilayer perceptron model (MLP), a machine learning technique, and the Box-Jenkins methodology, also known as the ARIMA model, are used for classical modeling. Both methods are applied to the Monkeypox cumulative data set and compared using different model selection criteria such as root mean square error, mean square error, mean absolute error, and mean absolute percentage error.
RESULTS: With a root mean square error of 150.78, the monkeypox series follows the ARIMA (7,1,7) model among the other potential models. Comparatively, we use the multilayer perceptron (MLP) model, which employs the sigmoid activation function and has a different number of hidden neurons in a single hidden layer. The root mean square error of the MLP model, which uses a single input and ten hidden neurons, is 54.40, significantly lower than that of the ARIMA model. The actual confirmed cases versus estimated or fitted plots also demonstrate that the multilayer perceptron model has a better fit for the monkeypox data than the ARIMA model.
CONCLUSIONS AND RECOMMENDATION: When it comes to predicting monkeypox, the machine learning method outperforms the traditional time series. A better match can be achieved in future studies by applying the extreme learning machine model (ELM), support vector machine (SVM), and some other methods with various activation functions. It is thus concluded that the selected data provide a real picture of the virus. If the situations remain the same, governments and other stockholders should ensure the follow-up of Standard Operating Procedures (SOPs) among the masses, as the trends will continue rising in the upcoming 10 days. However, governments should take some serious interventions to cope with the virus.
LIMITATION: In the ARIMA models selected for forecasting, we did not incorporate the effect of covariates such as the effect of net migration of monkeypox virus patients, government interventions, etc.
MATERIALS AND METHODS: This cross-sectional study was conducted between August and December 2019 period. Demographic information and information on patients' feelings about their physicians, treatment, and health facilities provided were collected from 407 consented patients in a simple random sampling survey using a researcher-made, an adapted Medical Interview Satisfaction, questionnaire which was pilot tested before administration to the patients. Data were analyzed with SPSS version 23. Descriptive statistics and correlational and group comparison analyses were utilized.
RESULTS: Of the 407 patients studied for physician-patient satisfaction, the overall mean of all the respondents responding was 4.089 ± 0.5, which was ranked the highest among the three objectives. The effectiveness of treatment came as the second highest with the overall mean of 4.088 ± 0.5. Finally, the overall health-care facilities had the lowest overall mean of 4.077 ± 0.5 among the three.
CONCLUSION: Most patients who visited KMMHF were mostly satisfied with the outcomes of physician-patient interaction in the clinic.
METHODOLOGY: For this research, descriptive cross-sectional study using simple random sampling method was used. Population sampling was targeted toward three government schools. The total number of respondents is 383, with all of them aged between 13 and- 16 years of age. Legal considerations were taken to maintain the confidentiality of respondents. The specific objectives are: 1. To determine the level of change of intention on smoking, 2. To know the perceived reactions of the peer groups on the appearances of students as nonsmokers, 3. To determine whether the students learned new benefits of nonsmokingand, 4. To measure the impact of a facial-aging app among students.
RESULTS: The number of respondents who smoke was 40 (10.4%), while the number of respondents who do not smoke was 343 (89.6%). About 89% of the respondents agree that their three-dimensional selfie image motivates them not to smoke. In addition, 87.8% of respondents admit that the perceived reactions of their classmates make them think that they look better as nonsmokers. After learning the effects of smoking, about 86.4% of the respondents acknowledged that they would educate their peer groups. Furthermore, 85.9% of the respondents found this "Smokerface" app enjoyable.
CONCLUSION: The facial-aging intervention was effective in motivating Malaysian pupils to stay away from tobacco use. Thus, the analysis on the study of facial app usage in smoking prevention among youngsters concludes that most of the adolescents concur that the "Smokerface" app helps in the prevention of smoking among youths.
MATERIALS AND METHODS: A pre-post study (interventional study design) was conducted on paramedic students. Our study period was 6 months which was divided into Phases I, II, and III. For administrative purpose, we included all paramedical students, and our sample size was 119. The baseline assessment of knowledge and attitude of paramedic students was done by a pretested questionnaire (Observation 1) with having a baseline scoring. After that, intervention Phase 1 was implemented, and later, end line observation (Observation 2) was made. Changes in knowledge and attitude were observed by the score difference (Observation 2-Observation 1). Descriptive statistics were calculated, and the mean of cumulative score was compared using the Wilcoxon signed-rank test. We applied Mann-Whitney U-test for finding associations between dependent variables with an independent variable using SPSS version 22 (IBM, Chicago, USA) software.
RESULTS: Our baseline results showed that most of our participants had average knowledge (54.6%), followed by poor knowledge (24.4%). Approximately one-fifth (21.0%) of the participants had good knowledge regarding disaster preparedness. A significant improvement was observed in cumulative score (P < 0.005). A significant difference was observed in knowledge and attitude with respect to age and courses (P < 0.05). Forty percent of the students responded that they would like to get trained by that mock drill, and 26.1% were interested in disaster preparedness workshops in the future.
CONCLUSION: Our present study results indicate that the overall knowledge and attitude level of the students was average and required improvement. A similar result was reported in some studies conducted globally for the same purpose. All of our students perceived that training for disaster preparedness is necessary for all health facilities, and it is important to have an emergency plan and disaster management committee. Regarding training methods, most of our students liked our interactive audiovisual method. However, their preferred methods were mock drill and workshops. It can be arranged in the future for them.
AIM: The aim of our study was to investigate the perceptions and readiness of schoolteachers to accept notifications on food poisoning as a part of education to the students.
METHODOLOGY: A descriptive cross-sectional study was carried out with the help of a validated questionnaire for data collection. Our research involved schoolteachers from both primary and secondary schools in Muar. The questionnaire was pretested among the eligible trainee teachers and yielded an internal consistency reliability coefficient (c = Cronbach's alpha) of 0.082. This study was conducted from October 29, 2017, to December 14, 2018, in Muar. Our sample size was 259. Ethical consent was obtained from the Institution Ethical Committee.
RESULTS: A total of 259 schoolteachers from both primary and secondary schools in Muar were included in this study. In our study, 81.1% of the teachers responded that they can easily educate their students about food poisoning. Most of them (93.1%) were ready to receive notifications on food poisoning in any mode, and about 72% of the teachers preferred WhatsApp as their mode of receiving notification. The least (1.2%) preferred mode of notification was LINE (a social app). Teachers' willingness to disseminate the information regarding food poisoning was also higher (98.5%).
CONCLUSIONS: We concluded that majority of the schoolteachers had a good perception and were ready to receive the notifications on food poisoning through WhatsApp as a part of education to the students.
OBJECTIVE: Our study objective was to evolve and test a colour coded client segmentation based public health approach to educate the community to deal with problem of hypertension.
METHODOLOGY: This cross-sectional pilot study was done in March 2020 among purposively approached in a primary health centre to 100 people aged above 18 years, among them 41 gave written consent for the study and their demographic information was noted. They were given colour coded cards as per the current blood pressure level and previous history of hypertension. On each colour coded card, specific advice was written for that category. For all the participants, blood pressure and treatment seeking behaviour was noted. For hypertensive patients, adherence to medication and non-pharmacological measures was noted.
RESULTS: Mean age of the participants was 46.5 ± 13.06 years. Mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) of the participants were 135 ± 16.85 mm Hg and 86 ± 11.42 mm Hg, respectively. Among the participants, 10 (24.39%) had a known history of hypertension. Among them, as per the blood pressure levels measured on the day of the study 50% (5) had their blood pressure levels under control. Interestingly 16 (39%) participants were found hypertensive incidentally.
DISCUSSION: It is evident from the studies that colour coded approach is used in multiple ways, in multiple settings, for multiple diseases. To our knowledge, little focus has been given for hypertensive disorders in the community level. We merely bother about making their risk profiling, even in the digital age. Sometimes physicians in emergency become puzzled whenever patients collapsed in front of them and we missed the "Golden Hour" for the treatment by searching patients' medical details.
CONCLUSION AND RECOMMENDATIONS: The above problem can be solved by risk profiling of chronic patients by colour coded OPD/Health cards.
AIM AND OBJECTIVE: This qualitative study sought to determine how mental health counsellors now address the mental health concerns of their pupils. To achieve this objective, two research questions were developed to direct this study: (1) What are the experiences of counsellors who provide support to students with mental health issues? (2) How might guidance and counselling services and programmes enhance the academic success of students with mental health issues?
METHODOLOGY: Participants were selected from a university in a northern Malaysian neighbourhood. Several semi-structured, in-depth interviews were conducted with two counsellors to collect data.
RESULTS: Overall, the counsellors regarded multitasking to be a hindrance to their job performance. Participants felt that their caseloads prevented them from being proactive with each student, resulting in irritation. According to the participants, the job's requirements have changed, but the number of tasks and caseload have not. This has led to feelings of exhaustion and frustration. The study revealed two important research's findings: first, there has been an increase in the number of mental health concerns, particularly anxiety and depression, among students; second, counsellors would be able to effectively support children intellectually and personally if they had appropriate staffing and professional development.
CONCLUSION: It was concluded that the counselors regarded multitasking was a hindrance to their job performance. Participants reported an increase in the frequency of anxiety and depression exhibited by their students and they felt that additional programming with friends, family, and professors could increase students' social well-being.
DESIGN AND METHODS: A descriptive study has been carried out to investigate the obstacles to tackle the COVID-19 pandemic for this country. The intensity of the outbreaks of the pandemic in this country is stated from March 8, 2020, to February 12, 2021. Secondary data have been employed from different sources to serve the goals of the study.
RESULTS: The poor management in the health sector of Bangladesh has been an issue of major concern during the early stage of COVID-19 which incorporates deficiency of medical equipment, lack of facilities for testing COVID-19, poor patient management, and uncertainty in the medication system. Finally, some recommendations have been proposed for the concerned organizations to tackle the current pandemic and as well in the future.
CONCLUSIONS: To control this COVID-19 pandemic, it is necessary to find the difficulties and discover the remedies which have been done in this paper for the Bangladesh perspective.
DESIGN AND METHODS: A cross-sectional survey was conducted from March to April 2020 among adults, 18 years old and above, who reside in Myanmar through a structured questionnaire distributed in social media platforms. Univariate and Bivariate analyses were used to estimate the prevalence of COVID-19 Peritraumatic Distress Index (CPDI) symptoms and to test the associations between CPDI and the exposure variables. Logistic Regression Analysis was done to identify significant predictors of distress.
RESULTS: There were 530 participants in this study.37.4% of them did not have psychological distress,55.6% experienced mild to moderate psychological distress, and 7% experienced severe psychological distress due to COVID-19 pandemic. Simple and Multiple Logistic Regression Analyses were performed to determine the factors associated with psychological distress due to COVID-19.
CONCLUSIONS: It was shown that the self-employed group and age group older than 45 years old had more psychological distress than others. However, Buddhists and people from the capital city had less distress than other religions and districts. This study recommends the government to develop better strategies for self-employed groups, elders, and the poor for a support, relief, and resettlement of their ruined status.