BackgroundThe aim of the study was to establish syndromic diagnoses in patients presenting with respiratory symptoms to healthcare facilities in Vietnam and to compare the diagnoses with the facility-level clinical diagnoses and treatment decisions.MethodsA representative sample of patients, aged≥5 years, presenting with dyspnoea, cough, wheezing, and/or chest tightness to health facilities in four provinces of Vietnam were systematically evaluated. Eight common syndromes were defined using data obtained.ResultsWe enrolled 977 subjects at 39 facilities. We identified fixed airflow limitation (FAL) in 198 (20.3%) patients and reversible airflow limitation (RAL) in 26 (2.7%) patients. Patients meeting the criteria for upper respiratory tract infection (URTI) alone constituted 160 (16.4%) patients and 470 (48.1%) did not meet the criteria for any of the syndromes. Less than half of patients with FAL were given long-acting bronchodilators. A minority of patients with either RAL or FAL with eosinophilia were prescribed inhaled corticosteroids. Antibiotics were given to more than half of all patients, even among those with URTI alone.ConclusionThis study identified a substantial discordance between prescribed treatment, clinician diagnosis and a standardised syndromic diagnosis among patients presenting with respiratory symptoms. Increased access to spirometry and implementation of locally-relevant syndromic approaches to management may help to improve patient care in resource-limited settings.
Background Attendance at healthcare facilities provides an opportunity for smoking cessation interventions. However, the smoking behaviours of patients seeking healthcare in Vietnam are not well-understood. We aimed to evaluate behaviours related to smoking among patients presenting to health facilities in Vietnam. Methods We conducted a cross-sectional study in 4 provinces of Vietnam. Consecutive patients aged ≥15 years presenting to 46 health facilities were assessed. Current smokers were randomly selected to complete a full survey about smoking behaviour, quit attempts, and preparedness to quit. Results Among 11,245 patients who sought healthcare, the prevalence of current smoking was 18.6% (95% CI: 17.8–19.4%) overall, 34.6% (95% CI: 33.2–36.0%) among men and 1.1% (95% CI: 0.8–1.3%) among women. Current smokers who were asked about smoking by healthcare providers in the last 12 months were more likely to make quit attempts than those not asked (40.6% vs 31.8%, p = 0.017). Current smokers who attempted to quit in the past 12 months made limited use of cessation aids: counselling (1.9%) and nicotine replacement therapy (10%). A higher proportion of patients wanted to quit in the next month at national/provincial hospitals (30.3%) than those visiting district hospitals (11.3%, p < 0.001) and commune health centres (11.1%, p = 0.004). Conclusions Smoking is common among male patients presenting to healthcare facilities in Vietnam. Formal smoking cessation supports are generally not used or offered. This population is likely to benefit from routine smoking cessation interventions that are integrated within the routine healthcare delivery system.
Scheduling sensor nodes has an important role in real monitoring applications using sensor networks, lowering the power consumption and maximizing the network lifetime, while maintaining the satisfaction to application requirements. Nevertheless, this problem is usually very complex and not easily resolved by analytical methods. In a different manner, genetic algorithms (GAs) are heuristic search strategies that help to find the exact or approximate global optimal solution efficiently with a stochastic approach. Genetic algorithms are advantageous for their robustness to discrete and noisy objective functions, as they are only evaluated at independent points without requirements of continuity or differentiability. However, as explained in this paper, a time-based sensor network schedule cannot be represented by a chromosome with fixed length that is required in traditional genetic algorithms. Therefore, an extended genetic algorithm is introduced with variable-length chromosome (VLC) along with mutation and crossover operations in order to address this problem. Simulation results show that, with help of carefully defined fitness functions, the proposed scheme is able to evolve the individuals in the population effectively and consistently from generation to generation towards optimal ones, and the obtained network schedules are better optimized in comparison with the result of algorithms employing a fixed-length chromosome.
Background Limited evidence is available about the combination of multiple smoking cessation modalities in low- and middle-income countries. The study aimed to assess the feasibility of a smoking cessation intervention that integrates follow-up counselling phone calls and scheduled text messages with brief advice from physicians in Vietnam. Methods This was a single-arm intervention study. Smokers were referred to the study Quitline after brief advice by physicians at three rural district hospitals in Hanoi, Vietnam. Following referral, participants received nine counselling phone calls in 12 months and a scheduled text message service that lasted for three months. Participants who reported smoking cessation for at least 30 days at the 12-month follow-up were invited for a urinary cotinine test to confirm cessation. Results The Quitline centre had 431 referrals from participating hospitals. Among them, 221 (51.3%) were enrolled. After the baseline phone call, 141 (63.8%) participated in all 4 follow-up calls within the first month and 117 (52.9%) participated in all phone calls in 12 months. The median number of successful phone calls was 8 (interquartile range: 6 – 8). At the end of the study, 90 (40.7%) self-reported abstinence from smoking over the previous 30 days. Among them, 22 (24.4%) submitted a sample for cotinine test, of which 13 (59.1% of those tested) returned a negative result. The proportion of biochemically-verified quitters was 5.9%. Conclusions The integration of brief advice and referral from healthcare facilities, Quitline counselling phone calls, and scheduled text messaging was feasible in rural health facilities in northern Vietnam. Trial registration ACTRN12619000554167.
Background While the safety and efficacy of inhaled budesonide-formoterol, used as-needed for symptoms, has been established for patients with asthma, it has not been trialed in undifferentiated patients with chronic respiratory diseases. We aimed to assess the feasibility of a pragmatic intervention that entails a stepped algorithm using inhaled budesonide-formoterol (dry powder inhaler, 160μg/4.5μg per dose) for patients presenting with chronic respiratory diseases to three rural district hospitals in Hanoi, Vietnam. Methods We recruited patients with evidence of airflow obstruction on spirometry and/or symptoms consistent with asthma. The algorithm consisted of three steps: 1. as-needed inhaled budesonide-formoterol for symptoms, 2. maintenance plus as-needed inhaled budesonide-formoterol, and 3. referral to a higher-level healthcare facility. All participants started at step 1, with escalation to the next step at review visits if there had been exacerbation(s) or inadequate symptom control. Patients were followed for 12 months. Results Among 313 participants who started the treatment algorithm, 47.2% had ≥ 1 episode of acute respiratory symptoms requiring a visit to hospital or clinic and 35.4% were diagnosed with an exacerbation. Twelve months after enrolment, 50.7% still adhered to inhaled budesonide-formoterol at the recommended treatment step. The mean and median number of doses per day was 1.5 (standard deviation 1.2) doses and 1.3 (interquartile range 0.7–2.3) doses, respectively. The proportion of patients taking more than 800μg budesonide per day was 3.8%. Conclusion This novel therapeutic algorithm is feasible for patients with chronic respiratory diseases in a rural setting in Vietnam. Further studies are required to establish the effectiveness, safety and cost-effectiveness of similar approaches in different settings. Trial registration ACTRN12619000554167.
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