The COVID-19 pandemic in the ASEAN: A preliminary report on the spread, burden and medical capacities
- Authors: Hoang, Minh , Nguyen, Phuong , Tran, Thao , Khuong, Long , Nguyen, Huy
- Date: 2020
- Type: Text , Journal article
- Relation: Asian Pacific Journal of Tropical Medicine Vol. 13, no. 6 (2020), p. 247-251
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- Description: Objective: To provide preliminary descriptions of the spread, burden and related medical capacity characteristics of the ASEAN countries. Methods: We utilized the data from four main official databases, including WHO reports, the Statistics and Research of the Coronavirus Disease, and the Southeast Asia Program of the Center for Strategic and International Study. The spread of the COVID- 19 pandemic, current burden and the COVID-19 medical response capacities were extracted before April 11, 2020. Results: As of April 13, 2020, the ASEAN countries reported 19 547 COVID-19 positive cases with 817 deaths (case-facility rate of 4.2%). Thailand was the first country in the region that reported having the COVID-19 cases, while Laos was the last to report confirmed COVID-19 cases. Durations for the number of deaths to double were between 8-12 days. For the testing and treatment capacities, the number of PCR tests provided to the populations was the highest in Vietnam, followed by Singapore, Malaysia, and Thailand. Meanwhile, the percentage of the population being tested was the highest in Brunei (2.31%), followed by Singapore (1.30%). Conclusions: A wide range of interventions were taken into practice in response to the outbreak with an effort of curbing the rise of this pandemic. However, special care should not be overlooked as the pandemic is placing a huge impact on the population and becomes increasingly unpredictable. To tackle the spread of the pandemic in the region, the ASEAN countries should work together as one community to provide better responses to future pandemics and other transboundary public health challenges. © 2020 Asian Pacific Journal of Tropical Medicine Produced by Wolters Kluwer-Medknow. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Huy Nguyen” is provided in this record**
The relationship between team dynamics with healthcare coordination and clinical work satisfaction among Commune Health Workers: A Bayesian model averaging study
- Authors: Ngo, Tuan , Nguyen, Huy , Pham, Thanh , Nguyen, Tien , Vu, Kien , Pham, Minh , Phung, Dung , Thi Tran, Anh , Nguyen, Phuong , Le, Phuong , Thi Dao, An , Ngo, Hiep , Hoang, Minh
- Date: 2022
- Type: Text , Journal article
- Relation: International Journal of Health Planning and Management Vol. 37, no. 5 (2022), p. 2684-2696
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- Description: Objective To determine the relationship between team dynamics with healthcare coordination and clinical job satisfaction of the community health workers (CHWs). Methods A cross‐sectional study was conducted among 133 health workers (including doctors, nurses, or midwives) at 21 Commune Health Cent in Quoc Oai District, Vietnam, from July 2015 to May 2017. A self‐administered questionnaire consisting of 5‐Likert items regarding team dynamics and healthcare coordination clinical work satisfaction was utilised. Descriptive statistics and correlation matrix were applied for seven factors of team dynamic, clinical work satisfaction, and patient care coordination queried by primary care providers. Bayesian model averaging (BMA) was used to identify the predictors of the level of team dynamics and healthcare coordination. Results The mean score of overall team dynamics among the study participants was 4.08. Clinical work satisfaction and patient care coordination scores among resident physicians were higher than those of attending clinicians however, the differences were not statistically significant. The results of BMA analysis indicated that team dynamics significantly associated with clinical work satisfaction, and it explains 9% of the total variance in clinical work satisfaction. Team dynamics level was also positively associated with patient care coordination. Patient care coordination was not a significant mediator between team dynamics and clinical work satisfaction. Conclusion Team dynamics is a potential contributor to improving patient care coordination and clinical job satisfaction of CHWs. As no significant correlation between patient care coordination and clinical job satisfaction was observed, to improve team performance, providing conditions that facilitate team building and teamwork should be conducted for CHWs in CHCs. Highlights Team dynamics, healthcare coordination and clinical work satistsfaction among health professionals are critical to quality of healthcare. In lower‐middle income countries like Vietnam, little has been known about these contributors at community‐based healthcare system. Identifying that team dynamics significantly associated with both patient care coordination and clinical work satisfaction among community health workers, but this association being not mediated by patient care coordination informs healthcare planning at community level. As team dynamics is a contributor to both patient care coordination and clinical job satisfaction, improving team dynamics should be considered as one of priorities for better community healthcare in low or middle resource setting.
Trends in, projections of, and inequalities in non-communicable disease management indicators in Vietnam 2010–2030 and progress toward universal health coverage : a Bayesian analysis at national and sub-national levels
- Authors: Nguyen, Phuong , Gilmour, Stuart , Le, Phuong , Nguyen, Hoa , Dao, Thi , Tran, Bao , Hoang, Minh , Nguyen, Huy
- Date: 2022
- Type: Text , Journal article
- Relation: eClinicalMedicine Vol. 51, no. (2022), p.
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- Description: Background: Movement towards Universal Health Coverage (UHC) can improve health services, risk factor management, and inequality in non-communicable diseases (NCD); conversely, prioritizing and monitoring NCD management can support pathways to UHC in resource-limited settings. We aimed to estimate trends in NCD management indicators in Vietnam from 2010, and projections to 2030 at national and sub-national levels; compute the probability of reaching UHC targets; and measure inequalities in NCD management indicators at demographic, geographic, and socio-economic levels. Methods: We included data of 37,595 households from four nationally representative surveys from 2010. We selected and estimated the coverage of NCD health service and risk management indicators nationally and by six sub-national groups. Using Bayesian models, we provided trends and projections and calculated the probability of reaching UHC targets of 80% coverage by 2030. We estimated multiple inequality indices including the relative index of inequality, slope index of inequality, and concentration index of inequality, and provided an assessment of improvement in inequalities over the study period. Findings: Nationally, all indicators showed a low probability of achieving 2030 targets except sufficient use of fruit and vegetables (SUFV) and non-use of tobacco (NUT). We observed declining trends in national coverage of non-harmful use of alcohol (NHUA), sufficient physical activity (SPA), non-overweight (NOW), and treatment of diabetes (TOD). Except for SPA, no indicator showed the likelihood of achieving 2030 targets at any regional level. Our model suggested a non-achievement of 2030 targets for all indicators in any wealth quintile and educational level, except for SUFV and NUT. There were diversities in tendency and magnitude of inequalities with widening gaps between genders (SPA, TOD), ethnic groups (SUFV), urban-rural areas (TOH), wealth quintiles, and educational levels (TOD, NUT, NHUA). Interpretation: Our study suggested slow progress in NCD management at the national level and among key sub-populations in Vietnam, together with existing and increasing inequalities between genders, ethnicities, geographic areas, and socioeconomic groups. We emphasised the necessity of continuously improving the healthcare system and facilities, distributing resources between geographic areas, and simultaneously integrating economic, education, and gender intervention and programs. Funding: None. © 2022 The Author(s)