Perceived Barriers of Accessing Healthcare among Migrant Workers in Thailand during the Coronavirus Disease 2019 (COVID-19) Pandemic: A Qualitative Study.

The outbreak of Coronavirus Disease 2019 (COVID-19) has threatened health and well-being in all populations. This impact is also deepening structural inequalities for migrant workers in Thailand. Due to their vulnerability and limited opportunity to access health services, they have greater risks in many health aspects compared to other populations. This qualitative study sought to examine the key health concerns and barriers during the COVID-19 pandemic on healthcare access among migrant workers in Thailand through the lens of policymakers, healthcare professionals, experts on migrant health, and migrant workers. We conducted 17 semi-structured in-depth interviews of stakeholders from health and non-health sectors in Thailand from July to October 2021. The interviews were transcribed and analyzed using both deductive and inductive thematic approaches. Thematic coding was applied. The results showed that financial constraints were a major barrier for healthcare access among migrant workers. These included affordability of healthcare and difficulty accessing funds (migrant health insurance). Structural barriers included some health facilities opening for emergency cases only. Insufficient healthcare resources were profound during the peak of positive cases. Cognitive barriers included negative attitudes and diverse understanding of healthcare rights. Language and communication barriers, and a lack of information also played an important role. Conclusion, our study highlights healthcare access barriers to migrant workers in Thailand during the COVID-19 pandemic. Recommendations for future resolution of these barriers were also proposed.

Psychosocial Problems Among Primary School Children in Thailand During the COVID-19 Pandemic, 2022.

Background: During the COVID-19 pandemic, primary school children are particularly vulnerable as restriction measures have caused a huge impact on their health and well-being. This study aims to assess the prevalence of mental health among primary school children in Thailand during the COVID-19 pandemic and identify factors associated with psychosocial problems. Methods: A survey was conducted among 701 Thai parents of primary school children from January to March 2022 - when teaching modalities between onsite and online learning were alternated. Parents were requested to assess the mental health of their youngest child at primary school age level. Psychosocial problems were measured by the Strengths and Difficulties Questionnaire (SDQ) with a total score of 40, based on 4 domains (emotion, behavior, hyperactivity, and relationship). Independent variables included (1) parental/household factors, (2) children characteristics, and (3) online learning-related issues. The dependent variable was the prevalence of children with a total score of 14-40, which indicates at risk and/or having mental health problems. The analysis was performed using logistic regression model. Results: Thai parents reported that 41.1% of children had psychosocial problems. Children in a single-parent family (adjusted odds ratio [AOR] = 1.7; 95% confidence interval (CI) = 1.1-2.8), male children (AOR = 1.7, 95% CI = 1.2-2.4), and children who did not receive adequate assistance for online learning from their parents (AOR = 2.1, 95% CI = 1.1-4.0) significantly faced greater odds of mental health problems. Conclusion: The prevalence of Thai primary school children confronting psychosocial difficulties during the COVID-19 pandemic increased, with significant concern. Public health interventions that aim to protect the mental health of primary school children during the pandemic should be introduced and targeted male children and those living with a single parent. Social support that facilitates online learning for children whose parents have limited capacity in supporting them should be implemented.

Self-Reported Anxiety and Depression among Parents of Primary School Children during the COVID-19 Pandemic in Thailand, 2022.

One significant concern during the COVID-19 pandemic is parents' mental health, which may consequently affect children's health and well-being. The objective of this study is to investigate generalized anxiety and depression in parents of primary-school-aged children and identify risk factors for mental health problems. A cross-sectional survey comprising 701 parents of primary school children in five of Thailand's major provinces was carried out from January to March 2022. Generalized anxiety and depression levels were assessed using the GAD-7 and PHQ-9. Logistic regression was performed to determine the effects of independent variables on anxiety and depression. Results showed that the prevalence of generalized anxiety and depression was 42.7% and 28.5%, respectively, among Thai parents. Three strong associative factors included: (1) having a youngest child with mental health problems; (2) not assisting their children every day; and (3) drinking alcohol. These findings show that the parents must deal with several difficulties when trying to maintain work and parenting duties while being confined at home during emergency situations. The government should provide sufficient assistance to parents who lack skills in handling children with emotional and behavioral problems. Meanwhile, health promotion to reduce alcohol consumption should continue to be an area of focus.

Family Health among Families with Primary School Children during the COVID Pandemic in Thailand, 2022.

Despite evidence suggesting that the COVID pandemic has negatively affected the mental health and well-being of school aged children and parents, there are limited studies describing the state of family well-being. This study aimed to use the family health lens to assess the well-being of Thai families with primary school children and to identify its associated factors. A cross-sectional survey was conducted during January and March 2022, a period of school closure when onsite education was replaced by online education from time to time. The family health scale (FHS) questionnaire survey was carried out among 701 parents of Thai families with primary school children. The questionnaire comprised 10 questions regarding family belief, health, relationships, financial security, and housing environment. Independent variables included: (1) parental/household factors; (2) online learning related issues; (3) children's mental health; and (4) parents' health behaviors. Multinomial logistic regression was undertaken. Results showed that half of Thai families (54.6%) reported having moderate health status. Factors that were associated with lower levels of family health, such as poor or moderate levels, included families with a child that had mental health problems (adjusted odd ratio (AOR) = 5.0 [95% CI = 2.6-9.5] for poor v. excellent, and AOR = 2.7 [95% CI = 1.9-4.0] for moderate v. excellent), single parents (AOR = 2.5 [95% CI = 1.2-5.2] for poor v. excellent), a higher number (≥3) of children (AOR = 2.1 [95% CI = 1.0-4.0] for moderate v. excellent), and smoking parents (AOR = 6.5 [95% CI =1.2-34.8] for poor v. excellent). During health emergencies, health policy for providing adequate assistance to single parents, especially those that have a child with mental health problems, is of utmost importance. The design of health promotion activities and interventions should be targeted not only at single families, but also families with higher numbers of children and parents who smoke at home.

Risk Communication Distributed among Migrant Workers during the COVID-19 Crisis in Thailand: Analysis on Structural and Networking Gaps.

Language and cultural barriers among migrant workers hamper access to health risk information. This study aims to explore health risk communication structure and processes and identify the communication network of migrant workers during the COVID-19 pandemic in Thailand. This study used a parallel mixed-methods design combined with in-depth interviews and questionnaires for social network analysis from November 2020 to June 2021 in the headquarter district of Samut Sakhon, Ranong, and Phuket provinces. We conducted purposive sampling of representatives from public and non-public organisations and local communities. Thirty-six key informants participated in in-depth interviews, and fifty-six respondents completed the questionnaire for social network analysis. Although health risk communication included various activities, there was no formal governing body responsible for health risk communication among migrants, and monitoring and evaluation of communication process were not well-implemented. The health risk communication network was centralised, especially in the rural area; however, migrant health volunteers (MHVs) and local media were key sources of information for most migrants in communities. Overall, a governing body led by the government with intersectional collaboration and a health risk communication process should be promoted while considering migrants' characteristics and concerns. The health risk communication network should identify key communicators such as MHVs and local media. This can be an effective strategy to fill the gap of information dependency.

Predicted Impact of the Lockdown Measure in Response to Coronavirus Disease 2019 (COVID-19) in Greater Bangkok, Thailand, 2021.

In mid-2021, Thailand faced a fourth wave of Coronavirus Disease 2019 (COVID-19) predominantly fueled by the Delta and Alpha variants. The number of cases and deaths rose exponentially, alongside a sharp increase in hospitalizations and intubated patients. The Thai Government then implemented a lockdown to mitigate the outbreak magnitude and prevent cases from overwhelming the healthcare system. This study aimed to model the severity of the outbreak over the following months by different levels of lockdown effectiveness. Secondary analysis was performed on data primarily obtained from the Ministry of Health; the data were analyzed using both the deterministic compartmental model and the system dynamics model. The model was calibrated against the number of daily cases in Greater Bangkok during June-July 2021. We then assessed the outcomes (daily cases, daily deaths, and intubated patients) according to hypothetical lockdowns of varying effectiveness and duration. The findings revealed that lockdown measures could reduce and delay the peak of COVID-19 cases and deaths. A two-month lockdown with 60% effectiveness in the reduction in reproduction number caused the lowest number of cases, deaths, and intubated patients, with a peak about one-fifth of the size of a no-lockdown peak. The two-month lockdown policy also delayed the peak until after December, while in the context of a one-month lockdown, cases peaked during the end of September to early December (depending on the varying degrees of lockdown effectiveness in the reduction in reproduction number). In other words, the implementation of a lockdown policy did not mean the end of the outbreak, but it helped delay the peak. In this sense, implementing a lockdown helped to buy time for the healthcare system to recover and better prepare for any future outbreaks. We recommend further studies that explore the impact of lockdown measures at a sub-provincial level, and examine the impact of lockdowns on parameters not directly related to the spread of disease, such as quality of life and economic implications for individuals and society.

Prioritization of the Target Population for Coronavirus Disease 2019 (COVID-19) Vaccination Program in Thailand.

Thailand was hit by the second wave of Coronavirus Disease 2019 (COVID-19) in a densely migrant-populated province (Samut Sakhon). COVID-19 vaccines were known to be effective; however, the supply was limited. Therefore, this study aimed to predict the effectiveness of Thailand's COVID-19 vaccination strategy. We obtained most of the data from the Ministry of Public Health. Deterministic system dynamics and compartmental models were utilized. The reproduction number (R) between Thais and migrants was estimated at 1.25 and 2.5, respectively. Vaccine effectiveness (VE) to prevent infection was assumed at 50%. In Samut Sakhon, there were 500,000 resident Thais and 360,000 resident migrants. The contribution of migrants to the province's gross domestic product was estimated at 20%. Different policy scenarios were analyzed. The migrant-centric vaccination policy scenario received the lowest incremental cost per one case or one death averted compared with the other scenarios. The Thai-centric policy scenario yielded an incremental cost of 27,191 Baht per one life saved, while the migrant-centric policy scenario produced a comparable incremental cost of 3782 Baht. Sensitivity analysis also demonstrated that the migrant-centric scenario presented the most cost-effective outcome even when VE diminished to 20%. A migrant-centric policy yielded the smallest volume of cumulative infections and deaths and was the most cost-effective scenario, independent of R and VE values. Further studies should address political feasibility and social acceptability of migrant vaccine prioritization.