Effect of the Promulgation of the New Migrant's Employment Law on Migrant Insurance Coverage in Thailand: An Interrupted Time Series Analysis, 2016-2018.

This study explores the effect of the recently enacted Foreigners' Working Management Emergency Decree, 2017 on migrant insurance coverage between January 2016 and December 2018. We employed an interrupted time series (ITS) model to estimate the level and trend changes of the number of migrants enrolled in Social Health Insurance (SHI) for formal workers and the Health Insurance Card Scheme (HICS) for other migrants. Before the Decree's implementation, SHI covered roughly a third of the total migrants holding work permits, while HICS covered over half of migrants in the country. We found that the new employment law contributed to a rise in the volume of SHI members and a decline in the HICS members in the long run, which might be partly due to a switch from the HICS members in the formal sector to the SHI, as originally intended by the law. In addition to the law effect, some coincided political force from international trade partners and supranational organizations might also contribute to the progress in protecting the rights of migrant workers. The long-term monitoring of migrant insurance coverage and a mapping against the changes in migrant-related laws and contexts are recommended

Defining the Benefit Package of Thailand Universal Coverage Scheme: From Pragmatism to Sophistication

Benefit package is crucial for implementing universal health coverage (UHC). This editorial analyses how the benefit package of the Thai Universal Coverage Scheme (UC Scheme) evolved from an implicit comprehensive package which covered all conditions and interventions (with a few exceptions), to additional explicit positive lists. In 2002 when the Thai UC Scheme was launched; the comprehensive benefit package, including medicines in the national essential list of medicines, formerly offered by the previous schemes were pragmatically adopted. Later, when capacities of producing evidence on health technology assessment (HTA) increased, rigorous assessment of cost effectiveness is mandatorily required for inclusion of new interventions into the Thai UC Scheme benefit package. This contributed to evidence-informed policy decisions. To prevent emptied promises, whichever policy choices are made about the benefit package, either using a negative or a positive list, developing country governments need to make quality health services available and accessible by the entire population. Political decision on benefit package should be informed by evidence on cost effectiveness, equity dimension and health system capacity to deliver equitable services. Low- and middle-income countries need to strengthen HTA capacity to generate evidence and inform policies

Moving towards culturally competent health systems for migrants? Applying systems thinking in a qualitative study in Malaysia and Thailand.

BACKGROUND: Cultural competency describes interventions that aim to improve accessibility and effectiveness of health services for people from ethnic minority backgrounds. Interventions include interpreter services, migrant peer educators and health worker training to provide culturally competent care. Very few studies have focussed on cultural competency for migrant service use in Low- and Middle-Income Countries (LMIC). Migrants and refugees in Thailand and Malaysia report difficulties in accessing health systems and discrimination by service providers. In this paper we describe stakeholder perceptions of migrants' and health workers' language and cultural competency, and how this affects migrant workers' health, especially in Malaysia where an interpreter system has not yet been formalised. METHOD: We conducted in-depth interviews with stakeholders in Malaysia (N = 44) and Thailand (N = 50), alongside policy document review in both countries. Data were analysed thematically. Results informed development of Systems Thinking diagrams hypothesizing potential intervention points to improve cultural competency, namely via addressing language barriers. RESULTS: Language ability was a core tenet of cultural competency as described by participants in both countries. Malay was perceived to be an easy language that migrants could learn quickly, with perceived proficiency differing by source country and length of stay in Malaysia. Language barriers were a source of frustration for both migrants and health workers, which compounded communication of complex conditions including mental health as well as obtaining informed consent from migrant patients. Health workers in Malaysia used strategies including google translate and hand gestures to communicate, while migrant patients were encouraged to bring friends to act as informal interpreters during consultations. Current health services are not migrant friendly, which deters use. Concerns around overuse of services by non-citizens among the domestic population may partly explain the lack of policy support for cultural competency in Malaysia. Service provision for migrants in Thailand was more culturally sensitive as formal interpreters, known as Migrant Health Workers (MHW), could be hired in public facilities, as well as Migrant Health Volunteers (MHV) who provide basic health education in communities. CONCLUSION: Perceptions of overuse by migrants in a health system acts as a barrier against system or institutional level improvements for cultural competency, in an already stretched health system. At the micro-level, language interventions with migrant workers appear to be the most feasible leverage point but raises the question of who should bear responsibility for cost and provision-employers, the government, or migrants themselves

Knowledge and use of antibiotics in Thailand: A 2017 national household survey.

BACKGROUND: The Thailand National Strategic Plan on Antimicrobial Resistance (AMR) 2017-2021, endorsed by the Thai Cabinet in 2016, aims to increase public knowledge about antibiotics and AMR awareness by 20% by 2021. This study assesses the prevalence of antibiotics use, clinical indications and sources; knowledge and access to information related to antibiotics and AMR; and factors related to level of knowledge and access to information among Thai adult population. METHODS: An AMR module was developed and embedded into the 2017 Health and Welfare Survey; a cross-sectional, two-stage stratified sampling, nationally representative household survey carried out biannually by National Statistical Office. The survey applied a structured interview questionnaire. The survey was conducted in March 2017 where 27,762 Thai adults were interviewed of the AMR module. Data were analyzed using descriptive and inferential statistics. RESULTS: The one-month prevalence of antibiotic use was 7.9% for three common conditions; flu (27.0%), fever (19.2%) and sore throat (16.8%). The majority of antibiotics (70.3%) were provided by public or private healthcare facilities, and 26.7% by pharmacies. Thai adults have low levels of knowledge about antibiotics; only 2.6 gave correct answers to all six statements related to antibiotics, while 13.5% gave wrong answers to all six statements. A few factors associated with knowledge and having received information on antibiotics were assessed. People who have higher education levels, and belong to richer wealth quintiles, and receive antibiotics and AMR information have significantly higher levels of knowledge about antibiotics. In the last 12 months, only 17.8% of respondents had heard information about the proper use of antibiotics and AMR; mostly from doctors (36.1%), health workers (24.8%) and pharmacists (17.7%). CONCLUSIONS: There is a large gap of public knowledge about the use of antibiotics. The main communication channel is through healthcare professionals, which indicates they are key persons in communicating information about the proper use of antibiotics to the public

Knowledge and use of antibiotics in Thailand: A 2017 national household survey.

BACKGROUND: The Thailand National Strategic Plan on Antimicrobial Resistance (AMR) 2017-2021, endorsed by the Thai Cabinet in 2016, aims to increase public knowledge about antibiotics and AMR awareness by 20% by 2021. This study assesses the prevalence of antibiotics use, clinical indications and sources; knowledge and access to information related to antibiotics and AMR; and factors related to level of knowledge and access to information among Thai adult population. METHODS: An AMR module was developed and embedded into the 2017 Health and Welfare Survey; a cross-sectional, two-stage stratified sampling, nationally representative household survey carried out biannually by National Statistical Office. The survey applied a structured interview questionnaire. The survey was conducted in March 2017 where 27,762 Thai adults were interviewed of the AMR module. Data were analyzed using descriptive and inferential statistics. RESULTS: The one-month prevalence of antibiotic use was 7.9% for three common conditions; flu (27.0%), fever (19.2%) and sore throat (16.8%). The majority of antibiotics (70.3%) were provided by public or private healthcare facilities, and 26.7% by pharmacies. Thai adults have low levels of knowledge about antibiotics; only 2.6 gave correct answers to all six statements related to antibiotics, while 13.5% gave wrong answers to all six statements. A few factors associated with knowledge and having received information on antibiotics were assessed. People who have higher education levels, and belong to richer wealth quintiles, and receive antibiotics and AMR information have significantly higher levels of knowledge about antibiotics. In the last 12 months, only 17.8% of respondents had heard information about the proper use of antibiotics and AMR; mostly from doctors (36.1%), health workers (24.8%) and pharmacists (17.7%). CONCLUSIONS: There is a large gap of public knowledge about the use of antibiotics. The main communication channel is through healthcare professionals, which indicates they are key persons in communicating information about the proper use of antibiotics to the public

Equity of Social Health Insurance Coverage for Migrants in Thailand: A Concentration Index Analysis

Thailand is attempting to implement an effective health insurance scheme to cover all migrant workers in the country. One of the remarkable policies is the Social Security Scheme (SSS). This study aims to assess the equity of SSS coverage among migrant workers in Thailand, sorted by types of businesses (agriculture, services and industrial sectors) and Gross Provincial Product (GPP) per capita. A secondary data analysis on time series cross-sectional data was employed. The dataset comprised: (1) the number of migrant insurees under the SSS; (2) the volume of migrant insurees in formal and informal sectors; and (3) provincial economic level and provincial population by years from 2015–2018. Descriptive statistics, Spearman’s rank correlation, and concentration index analysis on the ratio of SSS insurees to all migrants ranked by GPP per capita and business types from 2015–2018 were performed. Results showed that the ratio of SSS insurees to all migrants increased from 38.5% to 58.9%. Spearman’s correlation found a positive relationship between the SSS coverage and GPP per capita and business types in 2018. The statistical significance (p < 0.001) was found only in the industrial sector (rs = 0.346). Significant CIs were found in SSS coverage in the industrial sector in 2016 (CI = 0.147, p < 0.001), and SSS coverage in the industrial sector in 2017 (CI = 0.137, p < 0.001). In conclusion, the trend of CIs displayed a movement towards zero for all business types. This implied that the distribution of migrants in SSS shifted toward the equitable distribution across provinces in Thailand. A possible explanation was a major change in Thai politics in 2014 and a change in employment legislation for migrants in 2017. To expand the insurance coverage, the government should use the CI as a guide to consider specific provinces or target specific economic sectors as a priority to expedite the insurance enrolment for migrants

The impact of vaccine information and other factors on COVID-19 vaccine acceptance in the Thai population.

Increased misinformation circulating among the population during the COVID-10 pandemic can trigger rejection to take up vaccines. This study assesses the influence of vaccine information and other factors on vaccine acceptance in the Thai population. Between March and August 2021, six rounds of cross-sectional surveys through village health volunteer networks and online channels were conducted; as well as qualitative interviews with frontline health workers, patients with chronic diseases, and religious believers and leaders. Descriptive and multiple logistic regression with 95% level of confidence were used for survey findings while deductive thematic analysis was used for in-depth interview findings. Among the total 193,744 respondents, the initial COVID-19 vaccine acceptance rate decreased from 60.3% in March 2021 to 44.0% in April 2021, then increased to 88.8% in August 2021. Participants who were able to differentiate true and false statements were 1.2 to 2.4 times more likely to accept vaccine than those who were not. Those who perceived a high risk of infection (Adjusted odds ratio; AOR = 2.6-4.7), perceived vaccine safety (AOR = 1.4-2.4), judged the importance of vaccination (AOR = 2.3-5.1), and had trust in vaccine manufacture (AOR = 1.9-3.2) were also more likely to accept the vaccine. Moreover, higher education (AOR = 1.6-4.1) and living in outbreak areas (AOR = 1.4-3.0) were significantly related to vaccine uptake, except in people with chronic diseases who tended not to accept the vaccine (AOR = 0.7-0.9). This study recommends effective infodemic management and comprehensive public communication, prioritising vulnerable groups such as those with a low level of education and people with chronic conditions. Communication through reliable channels can support higher vaccine acceptance and rapid vaccine rollout. Finally, regular monitoring of misinformation is important such as fact checking support, timely legal actions and specific debunking communication

Depressive symptom screening in elderly by passive sensing data of smartphones or smartwatches: A systematic review.

BackgroundThe elderly is commonly susceptible to depression, the symptoms for which may overlap with natural aging or other illnesses, and therefore miss being captured by routine screening questionnaires. Passive sensing data have been promoted as a tool for depressive symptoms detection though there is still limited evidence on its usage in the elderly. Therefore, this study aims to review current knowledge on the use of passive sensing data via smartphones and smartwatches in depressive symptom screening for the elderly.MethodThe search of literature was performed in PubMed, IEEE Xplore digital library, and PsycINFO. Literature investigating the use of passive sensing data to screen, monitor, and/or predict depressive symptoms in the elderly (aged 60 and above) via smartphones and/or wrist-worn wearables was included for initial screening. Studies in English from international journals published between January 2012 to September 2022 were included. The reviewed studies were further analyzed by a narrative analysis.ResultsThe majority of 21 included studies were conducted in Western countries with a few in Asia and Australia. Most studies adopted a cohort study design (n = 12), followed by cross-sectional design (n = 7) and a case-control design (n = 2). The most popular passive sensing data was related to sleep and physical activity using an actigraphy. Sleep characteristics, such as prolonged wakefulness after sleep onset, along with lower levels of physical activity, exhibited a significant association with depression. However, cohort studies expressed concerns regarding data quality stemming from incomplete follow-up and potential confounding effects.ConclusionPassive sensing data, such as sleep, and physical activity parameters should be promoted for depressive symptoms detection. However, the validity, reliability, feasibility, and privacy concerns still need further exploration

Health Literacy and Its Related Determinants in Migrant Health Workers and Migrant Health Volunteers: A Case Study of Thailand, 2019

Migrant health workers (MHWs) and migrant health volunteers (MHVs) are key health workforce actors who play a substantial role in improving the health of migrants in Thailand. The objective of this study was to explore the factors associated with health literacy in MHWs and MHVs in Thailand. A self-administered questionnaire was conducted from December 2018 to April 2019 in two migrant-populated provinces. A total of 40 MHWs, 78 MHVs, and 116 general migrants were included in the survey. Results showed that a higher education level was associated with a greater health literacy score. MHWs were more likely to have a higher health literacy score (5.59 points difference) than general migrants. The province per se and type of affiliations did not significantly contribute to the difference in the health literacy score of each individual. Most MHWs received health information from health professionals, health staff, and the internet, while MHVs and general migrants received information from health professionals, MHWs/MHVs, family/friends, and posters/leaflets. This study suggests that a higher education level should be used as a criterion for recruitment of MHWs and MHVs. Access to interactive health information like health professionals should be promoted as the main source of information to ensure better health literacy among MHWs and MHVs

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