plueme/wizJson huggingface dataset:
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Changes in Quality of Life among Thai Older Adults during Corona Virus-19 Pandemic 
abstract:According to the situation of COVID-19 pandemic worldwide, policies and strategic measures
managing the new normal restrictions may impact the quality of life, especially in the aging population.
This study aimed to monitor and compare the quality of life across different periods of the COVID-19
pandemic in older adults stratified by regions in Thailand. Participants comprised 400 older adults living
in provinces representing five regions in Thailand with a total number of 2,000 participants. The self-reporting
questionnaires were applied for data collection, including personal and health information and
the EQ-5D-5L quality of life Thai version (of high reliability 0.89). Descriptive statistics was utilized for
overall personal and health information, and one-way analysis of variance was performed to examine
the change of quality of life among different pandemic waves. Findings revealed that most of the
provinces reported a higher quality of life and satisfaction of health at the first wave of the pandemic
than others. The restriction policy decreased mobility in older people. Comparing each province, findings
displayed that older people in Samut Prakarn had lower quality of life than others, such as Phrae
province. It might be because Samut Prakarn province with high number of cases imposed a maximum
infection control under a high restriction policy, while Phrae province with fewer cases enforced less
restriction requirement. The findings on quality of life informed that the maximum infection control
policy which decreased physical activity and lowered quality of life in older adults. Remarkably, the
results of the present study showed that quality of life varied depending on pandemic waves and regions.
These findings provided useful information to healthcare personnel and policymakers in Thailand to
develop further plans and services for older people to cope with future pandemics properly.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Willingness to Pay for Elderly Care in Nam Phong District, Khon Kaen Province 
abstract:This study aimed to estimate the value of willingness-to-pay (WTP) for elderly care and study the
impact of factors on willingness-to-pay for the elderly care. A total of samples in this study were 420
people aged 18 years and older, living in Sa-Ad and Nongkung subdistricts, Namphong district, Khon Kaen
province. The study found that mean age of the samples was 57.6 years, 71.0% were females, 75.2%
had primary school education or lower, more than a half lived with a monthly household income of
<10,000 baht, more than a half reported having health problems, and 63.1% never provided care to
dependent elderly. The three major problems related daily activities reported were: 9.8% having difficulty
of physical movement, 8.3% feeling sick, and 6.9% having stress/depression. More than 90% of
respondents were willing to join and pay for the elderly care program. The mean value of willingness-to-pay
for the elderly care was 373.77 baht (SD=286.01). This study found that willingness-to-pay was significantly
associated with age, household income, smoking behavior, quality of life, selfcare problem, anxiety/
depression, willingness-to-join the care program and starting price (p < 0.05). The study also found
that WTP value was associated with household income, size of household, years of providing elderly
care, selfcare problem and starting price (p < 0.05). As willingness-to-pay for elderly care studies are still
limited in Thailand, findings of the present study could be good lessons for other areas or settings.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Understanding Perceived Needs for Tooth Replacement in Older Adults: A Case Study of Dan Kwian 
abstract:Tooth loss holds a complex relationship with oral health-related quality of life. A recent national survey reported only half of Thai elderly population with fewer than 20 remaining teeth had their
dentures made, despite a policy promoting denture fabrication free of charge. The aim of this study was to explore the perspectives of older adults’ perceived needs for tooth replacement. We purposefully selected older adults living in Dan Kwian subdistrict who were identified with a denture needed by a dental nurse but not currently wearing the prosthesis, for a face-to-face in-depth semi-structure interview. Data saturation was reached with 29 older adults. Inductive content analysis of the interview transcripts yielded two main themes. First, the factors influencing the needs for denture were: 1.1) “the word of mouth from neighbors & the village health volunteer as the main influencer” inducing the needs; 1.2) the socialization stimulated the needs; and 1.3) indirect cost despite free denture hindering the needs. Second, the dynamic of conflicting priorities: 2.1) from attach to detach once getting old or being ill; 2.2) changing perceived needs over time in response to changes in life circumstance. In sum, insights from this study may help reduce the discrepancies between professionally defined needs and the patient perceived needs.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Cost-Utility Analysis of Mechanical Thrombectomy for Acute Ischemic Stroke 
abstract:The mechanical thrombectomy (MT) is the established standard and effective treatment for large
vessel occluded stroke patients. This research aimed to analyze whether MT was cost-effective when
compared with intravenous thrombolysis (IVT). This was a retrospective cohort study, reviewing medical
records of acute ischemic stroke patients with large vessel occlusion during 2015-2020. The study included
106 stroke patients treated with MT (n=66) versus IVT (n=40). The total cost of MT and IVT were estimated
at 568,587 baht and 121,582 baht, respectively. Both male and female patients treated with MT
had a greater quality-adjusted life years (QALYs) compared to those treated with IVT. The incremental
cost-effectiveness ratios for male and female patients treated with MT were 99,184 and 82,715 baht per
QALY gained, respectively. Conclusion: This study demonstrates that MT was cost-effective for treating
acute ischemic stroke judging against the willingness to pay of 160,000 baht per QALY of Thailand.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Claim Behaviors among Insured Persons under Social Security Act’s Article 40 with Occupations in Transportation: An Analysis of Social Security Office’s Administrative Data between 2018–2020 
abstract:The present study’s objective was to investigate the claim behaviors of the insured persons
under Social Security Act’s Article 40 who had transportation related occupations. This would provide
lessons for other platform workers being prevalent during COVID-19 pandemic who chose to register
under Social Security Act’s Article 40. The Social Security Office’s administrative database between
2018–2020 provided a total of 417,135 insured persons for analysis. Descriptive statistics of number,
percentage, mean, and standard deviation were presented to reflect insured persons’ claim frequencies,
benefits and averaged days from registration dates to first claim dates by benefits. The analysis showed
that 4.1 percent of insured persons submitted claims. The average duration from the registration dates
to the first claim dates exceeded a year. The most benefit claims came from the sickness benefit. The
highest rate of denied claims came from the disability benefit. Developing effective communication
strategies for platform workers should consider potential claimants and their needs as found by this
study.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Knowledge and Awareness of Antibiotic Use and Antimicrobial Resistance: A Survey in Fisheries Officers of Thailand 
abstract:Aquaculture plays an important role in global food supply and in national economic development in low and
middle income countries. However, during the process of aquaculture production, farmer may inappropriately use
antibiotics to prevent and to treat infections. This may lead to antimicrobial resistance in humans and environment.
This study aimed to assess fisheries officers’ knowledge and awareness of antibiotic use, antimicrobial resistance, and
knowledge on regulations related to antibiotic use in aquaculture sector. A self-administered questionnaire survey was
conducted in 92 fisheries officers whose work was related to aquatic animal health and aquaculture management from
61 provinces in February 2019. The questionnaire comprised four parts: 1) knowledge about the Thailand’s National
Strategic Plan on Antimicrobial Resistance 2017-2021 (NSP-AMR); 2) knowledge on antibiotics; 3) awareness of antimicrobial
resistance; and 4) regulations on chemicals and antibiotic use in aquatic animals. Over half of the respondents
(57.6%) had heard about the NSP-AMR, but most of them (62.3%) did not know the content. The level of knowledge
of antimicrobial was measured using six true/false statements. Results showed that level of knowledge on AMR and
antibiotic use was high, as 73.9% of respondents gave correct answers to more than 3 out of 6. The majority of respondents
(more than 80.0%) correctly recognized the importance of antibiotic use and AMR problems, and all of the
respondents agreed that AMR was an important problem that needed policy attention. More than half of respondents
gave correct answers in all statements regarding the antimicrobial use regulations in aquaculture sector. This study was
the first study which assessed knowledge on antibiotic use and antimicrobial resistance among fisheries officers in
Thailand. We applied the questionnaire from the National Health and Welfare Survey 2019 and the results showed
that respondents had a high level of knowledge about antibiotic use and antimicrobial resistance. But, gaps remain in
the dissemination of antibiotic-related policies. Training should be provided to improve knowledge and awareness on
AMR and to support fisheries officers in regulating and ensuring rational use of antibiotics in the aquaculture.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Benefits of Household Survey for Health Policy and Health System Development in Thailand 
abstract:The International Health Policy Program (IHPP) has been using household surveys conducted by
the National Statistical Office (NSO) for more than two decades. These surveys contribute to the advancement
of several health policies. This article presents successful evidence of IHPP using household
statistics survey data to support the process of health policy and health system development. Nine NSO
surveys related to health under 12 health topics include 1) universal health coverage, 2) health financing,
3) the burden of disease, 4) health (in)equity, 5) antimicrobial resistance, 6) smoking and alcohol consumption,
7) food and nutrition, 8) breastfeeding, 9) physical activity and sedentary lifestyle, 10) non-communicable
disease risk factors, 11) health workforce and 12) health of urban refugees and asylum
seekers. Five predominant characteristics of NSO surveys include (a) one-stop data source available for
most health domains, (b) national representativeness due to large and probabilistic sampling techniques,
(c) standard proxies for global and national monitoring systems, (d) ability to track health equity, and (e)
compliance with international benchmarking systems. The future challenge lies on improvement of the
quality of data and ensuring the sustainability of surveys.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Translating Evidence on Physical Activity to a Better Active City Policy: A Brief Literature Review 
abstract:The United Nations Sustainable Development Goal 11 commits to inclusive, safe, resilient, and sustainable cities and human settlements. Rapid urbanization can result in increased non-communicable disease burdens attributed to physical inactivity among the urban population. The patterns of physical inactivity and interventions to promote physical activity in the urban setting in Thailand are largely unknown. This study reviewed evidence on physical activity epidemiology and interventions to promote physical activity in the urban setting from the international and national studies, and recommended policy interventions that promote physical activity in the urban setting. The results suggested that promoting active transport such as walking, cycling, and use of public transport, integrating transit-oriented development in city design and planning, and supporting recreational activities for all groups of people, were key leverage policies that addressed the sedentary problem in Thailand.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Preparation of Finite Element Model of Patient-Specific Bone Geometry Dataset for Machine Learning to Predict and Prevent Bone Fracture in Elderly 
abstract:Thailand is entering an aging society completely. Osteoporosis is another disease that may become more frequent as it is more common among the elderly around the world. Osteoporosis increases the risk of bone fractures and, when fractures occur, is a contributing factor in increased mortality for the elderly. If fractures can be predicted for older adults with osteoporosis and solutions to prevent fractures can be found before they occur to the elderly, these will help to reduce the danger, loss of property, wasted time, and death of the elderly. The medical images obtained either as a direct diagnosis of fractures or in the diagnosis of other diseases can be further enhanced by combining with computer modeling techniques for biomechanically analysis based on finite element method, which are used in the diagnosis, treatment, and may include prognosis of various medical conditions widely, to analyze and predict fractures for elderly people with osteoporosis. However, this analysis technique is used mainly in research laboratory. This is due to a lot of resources required. If a sufficiently large number of analytical results can be obtained and used as a sample set input for the machine learning system to learn, then the current operating procedures may be reduced. It may result in faster diagnosis or prediction with adequate accuracy compared to traditional techniques. Therefore, the objective of this study was to predict fractures in the elderly due to various activities and conducting a study on the feasibility of collecting the biomechanical analysis results to be used as a sample input for future machine learning systems to use in learning with the aim of replacing the current procedure for performing part of the finite element analysis. From the study, it could be confirmed that the condition of osteoporosis greatly affected the force transmissibility. The external load was mainly experienced by the bone tissue which has a high bone mineral density, but this type of bone tissue is less common in patients suffering from osteoporosis. Therefore, occurring of osteoporosis affect bone strength directly. Moreover, the study was likely to find a relationship between the bone mineral density values obtained from medical imaging and stress values obtained from finite element analysis under various stress conditions. This may be the possibility of using machine learning to replace engineering analysis using the finite element method leading to the ability to reduce the process of finite elements in order to get a faster but still accurate diagnosis or prediction result.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Computer Modeling for Diagnosis of Abdominal Aorta Aneurysm Using Patient’s Computed Tomography Images and Computational Fluid Dynamics 
abstract:Cardiovascular diseases are classified as non-communicable diseases (NCDs) that are dangerous and have an increasing trend nowadays. This disease is related to lifestyle behavior. It tends to accumulate symptoms gradually and become more severe if it is not treated properly and in time. Abdominal aortic aneurysm (AAA) is a dangerous disease and can cause sudden death if ruptured. This research project has applied an engineering tool called a computational fluid dynamic (CFD) for medical applications. Computed tomography images of patients with abdominal aortic aneurysms were acquired to perform a reconstructed geometry of AAA. There were 12 cases of patients who have AAA with a diameter larger than 3 cm. The blood properties and boundary conditions were assigned in the model. The results of this study found that the aortic aneurysm was highly turbulent in the diastolic phase and there was an increase in turbulence as the aneurysm size increased. This turbulent flow was also found during peak systole as well. Wall shear stress (WSS) in the artery was high at peak systole and during diastole. Furthermore, WSS was higher in the aortic aneurysm sac than in the rest of the aorta. The oscillating shear index (OSI) was higher at the aortic aneurysm sac than other areas. This may lead to a risk of rupture point of blood vessels. However, the results could not be directly compared in the same group of patients because each patient had a different geometries and degree of tortuosity. Therefore, this kind of calculation is individual as a personalized model. In addition, this work has 3D printed models of the abdominal aorta to create a testing mock-up for the aneurysm. However, it was found that the material used in the AAA phantom was not clear and flexible. These problems relate to the flow visualization in the blood vessels and the wall contraction simulation of the blood vessels. More studies are needed to explore suitable materials to mock-up the AAA model for flow testing.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: The 14th Southeast Asia Regional Scientific Meeting of the International Epidemiological Association and International Conference on Public Health and Sustainable Development (The 14th IEA-SEA Meeting and ICPH 2022) 
abstract:The 14th Southeast Asia Regional Scientific Meeting of the International Epidemiological Association and International Conference on Public Health and Sustainable Development (IEA-SEA 2022) is the major forum for public health and medical epidemiologists to share their experiences and good practices especially in prevention and control several global health threats including COVID-19, HIV, TB. In 2022, the conference is organized by the School of Health Science, Mae Fah Luang University which is ranked the 1st university in Thailand for four (4) consecutive years by Time Higher Education (THE) World University Ranking, and other key partners such as the Southeast Asia Epidemiological Association (SEAIEA), World Health Organization (WHO), International Organization of Migration (IOM), Ministry of Public Health, Thailand (MOPH-Thailand), Health Systems Research Institute (HSRI), The Council of Community Public Health, Thailand, The Council of Public Health Education Institute of Thailand. Many organizations support scientific and excellent speakers to the conference such as the Centers for Disease Control and Prevention (CDC), United Nations Programme on HIV/AIDS (UNAIDS), etc. More than 15 keynote speakers from major health agencies in the world deliver their excellent information to the conference. In addition, more than 400 people participated in the conference with 150 excellent papers selected to present in the conference.
location: nan, 'Thailand 
year: 2022 source: HSRI 
title: Development of Proposal for Rational Drug Use Indicators for Healthcare Facilities and Community Pharmacies 
abstract:Rational Drug Use (RDU) has been set to be a strategic policy since the first issue of the National Drug Information. In the fiscal year of 2560 B.E., the Ministry of Public Health defined RDU and antimicrobial resistance management were projects under the National Strategy (2018-2037) regarding public health, and announced that all hospitals were RDU hospitals. RDU hospitals were evaluated with 18 hospital indicators according to the guidelines of service plan development. Some researches reflected limitations and obstacles of the RDU hospital indicators administration; however, this research was undertaken. The objective of this study was to review and develop rational drug use indicators for healthcare facilities. A cross-sectional, convergent mixed methods design was conducted between May 10, 2021 and November 9, 2022. Quantitative research was carried out with an online survey and analyzed with descriptive statistics. Qualitative research included documentary research, semi-structured in-depth interview, field study with group discussion, and modified Delphi technique, and analyzed data with thematic analyses. Also, a public hearing inquiry was held in representatives or experts of hospitals, professional organizations, and policy makers. Research population were all public healthcare facilities in primary, secondary, and tertiary care. Samples were selected from multi-stage sampling in both Bangkok and upcountry. In research summary, all hospital indicators should be kept, although some indicators were suggested to be terminated. The reason was to be the national database of all healthcare facilities until there will be better quality, efficient, and effective indicators. At present, RDU indicators will be divided into three categories. First, the Monitor (M) category included indicators Item no. 2 and 5. The Amendment (A) category were indicators Item no. 3, 4, 8 and 11. The Existence (E) category, lastly, were indicators Item no. 1, 6-7, 9-10, และ 12-18. Further studies will be needed to develop Thailand to be a RDU country. For examples, researches related to 1) spatial environment, 2) non-communicable diseases, 3) drug labelling and information, 4) RDU curriculum, 5) political research, 6) drug use in upcountry, grocery store or community pharmacy, 7) drug use in food chain cycle, and 8) information and exchange system.