There are some new progresses including patient care, active change of attitude for patients, enhanced hospital regulation, strengthened medical equipment, elimination and eradication of serious and/or social diseases. The hospital network have had some limitations including complications in the treatment, attitude for patients, hospital management, overload of higher level hospitals, sewage disposal and income of health staffs. From which the study introduced 10 major solutions including organization, medical equipment, health economic management, drug supply and delivery, profession guidance, patient care and health staff's life.
Hospitals ; Economics, Hospital

The information of the health sector is urgent needs. The rapid application of the information technology meets the requirement of the development of health sector in the curative and preventive medicine, the health education and communication, the medical equipment, administration and training.
Technology ; Health Care Sector

Recently, the health sector of Viet Nam has gathered important achievements. Especially, several scientific-technological achievements has been developed and applied successfully in health, take the medical science of Viet Nam to keep pace with that of other regional countries. These involve endoscopy, color ultrasonography, three-dimensional ultrasonography, coronary angiography and stent, nuclear magnetic resonance imaging, in vitro fertility (IVF), bone marrow and kidney transplantation. It is showed that information technology has motivated the development of different sciences, especially the medical science.
Information Management ; Health Care Sector

The healthy, happy and useful living is living objective of elderly should be considered by communist party, state and social organizations. The activities of the health protection and care should be strengthened including communication of methods for self healthcare, rational nutrition, healthy style and socialization of the health care. The network of consultation and treament for elderly should be invested properly, especially functional rehabitation and QI-training and vitality maintenance.
Activities of Daily Living ; Aged

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants’ mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

Objectives: The objective of this study was to characterize mental health issues among Vietnamese healthcare workers (HCWs) and to identify related factors. Methods: A cross-sectional study was conducted with 990 HCWs in 2021. Their mental health status was measured using the Depression, Anxiety, and Stress Scale. Results: In total, 49.9%, 52.3%, and 29.8% of respondents were found to have depression, anxiety, and stress, respectively. The multivariable linear regression model revealed that factors associated with increased anxiety scores included depression scores (β, 0.45; 95% confidence interval [CI], 0.39 to 0.51) and stress scores (β, 0.46; 95% CI, 0.41 to 0.52). Factors associated with increased depression scores included being frontline HCWs (β, 0.57; 95% CI, 0.10 to 1.10), stress scores (β, 0.50; 95% CI, 0.45 to 0.56), and anxiety scores (β, 0.41; 95% CI, 0.36 to 0.47), while working experience was associated with reduced depression scores (β, -0.08; 95% CI, -0.16 to -0.01). Factors associated with increased stress scores included working experience (β, 0.08; 95% CI, 0.00 to 0.16), personal protective equipment interference with daily activities (β, 0.55; 95% CI, 0.07 to 1.00), depression scores (β, 0.54; 95% CI, 0.48 to 0.59), and anxiety scores (β, 0.45; 95% CI, 0.39 to 0.50), while age was associated with reduced stress scores (β, -0.12; 95% CI, -0.20 to -0.05). Conclusions Specific interventions are necessary to enhance and promote the mental health of HCWs so they can successfully cope with the circumstances of the pandemic.