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Fulltext Advancing Health Disparities Research: The Need to Include Asian American Subgroup Populations

Yom S, Lor M

J Racial Ethn Health Disparities, 2022 Dec;9(6):2248-2282.
PMID: 34791615 DOI: 10.1007/s40615-021-01164-8

BACKGROUND: Despite recognition that the health outcomes of Asian American subgroups are heterogeneous, research has mainly focused on the six largest subgroups. There is limited knowledge of smaller subgroups and their health outcomes. This scoping review identifies trends in the health outcomes, reveals those which are under-researched, and provide recommendations on data collection with 24 Asian American subgroups.
METHODS: Our literature search of peer-reviewed English language primary source articles published between 1991 and 2018 was conducted across six databases (Embase, PubMed, Web of Sciences, CINAHL, PsychINFO, Academic Search Complete) and Google Scholar, yielding 3844 articles. After duplicate removal, we independently screened 3413 studies to determine whether they met inclusion criteria. Seventy-six studies were identified for inclusion in this review. Data were extracted on study characteristics, content, and findings.
FINDINGS: Seventy-six studies met the inclusion criteria. The most represented subgroups were Chinese (n = 74), Japanese (n = 60), and Filipino (n = 60), while Indonesian (n = 1), Malaysian (n = 1), and Burmese (n = 1) were included in only one or two studies. Several Asian American subgroups listed in the 2010 U.S. Census were not represented in any of the studies. Overall, the most studied health conditions were cancer (n = 29), diabetes (n = 13), maternal and infant health (n = 10), and cardiovascular disease (n = 9). Studies showed that health outcomes varied greatly across subgroups.
CONCLUSIONS: More research is required to focus on smaller-sized subgroup populations to obtain accurate results and address health disparities for all groups.

Matched MeSH terms: Data Collection
Fulltext Assessing economic implications for micro, small and medium enterprises in Thailand post Covid-19 lockdown

Bostan Ali W, Olayinka JA, Alam MM, Immelman A

PLoS One, 2024;19(2):e0294890.
PMID: 38349933 DOI: 10.1371/journal.pone.0294890

Micro, Small, and Medium-sized Enterprises (MSMEs) in Thailand were assessed in this study to determine the short-term and long-term economic effects of post-COVID- 19 -, with the goal of developing policy guidelines that focus on the methods and strategies that will further develop and help recover these sectors. MSMEs are the most vulnerable and require assistants to combat the pandemic. This study assesses the perspectives of stakeholders on the development of mechanisms and the strategies applied to support vulnerable groups in Thailand, which mostly consist of women and children. The main data collection was gathered through online questionnaires that were distributed to various stakeholder groups. The tools used for analysis were advanced quantitative analysis tools that aid in achieving this research study's objectives, and data was examined primarily through the usage of path modeling, structural equation modeling (SEM), and descriptive analysis was among the methods used. The findings reveal that in the short term, MSMEs' ability to respond to COVID-19 implications has a significant impact on both financial and non-financial performance. Non-financial performance, on the other hand, is more affected by adaptability than financial performance. Demand shock from lockdowns and other COVID-19 cautionary interventions has a negative and significant impact on MSMEs' adaptability, financial performance, and non-financial performance. The demand shocks increased the vulnerability of MSMEs significantly but it was found that proper management of demand shock has helped stabilized and improve MSMEs' financial and non-financial performances, as well as helped decrease their vulnerability. When it comes to government policy, the focus is usually on enhancing the flexibility and financial performance of MSMEs. The government's legislative actions have little impact on MSMEs' non-financial performance and vulnerability. This could be because the majority of the programs are more focused on providing financial assistance to businesses or their consumers. COVID-19's supply and demand shock only hindered MSMEs' ability to respond to the changes and challenges caused by the pandemic, according to vendors. The vulnerability of MSMEs caused by COVID-19 creates grave effects on their financial performance. The findings of this research paper will assist policymakers in identifying the most vulnerable aspects of MSMEs, as well as their expectations- and determine the forms of support that will be required to combat the current and future pandemic situations that may occur in Thailand. In addition, it will aid policymakers in the establishment of procedures and supporting strategies for MSMEs to reduce the unemployment rate and stimulate the Thai economy, among other factors of improvement.

Matched MeSH terms: Data Collection
A survey on automated wheeze detection systems for asthmatic patients

Shaharum SM, Sundaraj K, Palaniappan R

Bosn J Basic Med Sci, 2012 Nov;12(4):249-55.
PMID: 23198941

The purpose of this paper is to present an evidence of automated wheeze detection system by a survey that can be very beneficial for asthmatic patients. Generally, for detecting asthma in a patient, stethoscope is used for ascertaining wheezes present. This causes a major problem nowadays because a number of patients tend to delay the interpretation time, which can lead to misinterpretations and in some worst cases to death. Therefore, the development of automated system would ease the burden of medical personnel. A further discussion on automated wheezes detection system will be presented later in the paper. As for the methodology, a systematic search of articles published as early as 1985 to 2012 was conducted. Important details including the hardware used, placement of hardware, and signal processing methods have been presented clearly thus hope to help and encourage future researchers to develop commercial system that will improve the diagnosing and monitoring of asthmatic patients.

Matched MeSH terms: Data Collection
Fulltext Sample Size Calculation in Animal Studies Using Resource Equation Approach

Arifin WN, Zahiruddin WM

Malays J Med Sci, 2017 Oct;24(5):101-105.
PMID: 29386977 MyJurnal DOI: 10.21315/mjms2017.24.5.11

Animal research plays an important role in the pre-clinical phase of clinical trials. In animal studies, the power analysis approach to sample size calculation is recommended. Whenever it is not possible to assume the standard deviation and the effect size, an alternative to the power analysis approach is the 'resource equation' approach, which sets the acceptable range of the error degrees of freedom (DF) in an analysis of variance (ANOVA). The aim of this article is to guide researchers in calculating the minimum and maximum numbers of animals required in animal research by reformulating the error DF formulas.

Matched MeSH terms: Data Collection
Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology

Fornace KM, Drakeley CJ, William T, Espino F, Cox J

Trends Parasitol, 2014 Nov;30(11):514-9.
PMID: 25443854 DOI: 10.1016/j.pt.2014.09.001

The potential applications of unmanned aerial vehicles (UAVs), or drones, have generated intense interest across many fields. UAVs offer the potential to collect detailed spatial information in real time at relatively low cost and are being used increasingly in conservation and ecological research. Within infectious disease epidemiology and public health research, UAVs can provide spatially and temporally accurate data critical to understanding the linkages between disease transmission and environmental factors. Using UAVs avoids many of the limitations associated with satellite data (e.g., long repeat times, cloud contamination, low spatial resolution). However, the practicalities of using UAVs for field research limit their use to specific applications and settings. UAVs fill a niche but do not replace existing remote-sensing methods.

Matched MeSH terms: Data Collection/instrumentation*
International survey of contact lens prescribing for extended wear

Efron N, Morgan PB, Woods CA, International Contact Lens Prescribing Survey Consortium

Optom Vis Sci, 2012 Feb;89(2):122-9.
PMID: 22179218

PURPOSE: To determine the extent of extended wear (EW) contact lens prescribing worldwide and to characterize the associated demographics and fitting patterns.
METHODS: Up to 1000 survey forms were sent to contact lens fitters in up to 39 countries between January and March every year for five consecutive years (2006-2010). Practitioners were asked to record data relating to the first 10 contact lens fits or refits performed after receiving the survey form. Survey data collected since 1997 was also analyzed to assess EW fitting trends since that time.
RESULTS: Details for lens modality were received for 107,094 rigid and soft lens fits of which 88,392 were for soft lens daily wear (DW) and 7470 were for soft lens EW. Overall, EW represents 7.8% of all soft lens fits, ranging from 0.6% in Malaysia to 27% Norway. Compared with DW fittings, EW fittings can be characterized as follows: older age (32.7 ± 13.6 vs. 29.4 ± 12.0 years for DW); males are over-represented; greater proportion of refits; 72% silicone hydrogel; higher proportion of presbyopia and spherical designs; and higher proportion of monthly lens replacement. Of those wearing EW lenses, 80% use multipurpose solutions, whereas 9% do not use any care system. Between 1997 and 1999, the rate of EW prescribing decreased from 5 to 1% of all soft lens fits; it increased to a peak of 12% in 2006, and settled back to 8% by 2010.
CONCLUSIONS: EW prescribing has failed to break through the "glass ceiling" of 15% and is unlikely to become a mainstream lens wearing modality until the already low risks of ocular complications can be reduced to be equivalent to that for DW.

Matched MeSH terms: Data Collection*
Stories and maps, images and archives: multimethod approach to the political ecology of native property rights and natural resource management in Sabah, Malaysia

Doolittle AA

Environ Manage, 2010 Jan;45(1):67-81.
PMID: 18506515 DOI: 10.1007/s00267-008-9144-0

The study of human-environmental relations is complex and by nature draws on theories and practices from multiple disciplines. There is no single research strategy or universal set of methods to which researchers must adhere. Particularly for scholars interested in a political ecology approach to understanding human-environmental relationships, very little has been written examining the details of "how to" design a project, develop appropriate methods, produce data, and, finally, integrate multiple forms of data into an analysis. A great deal of attention has been paid, appropriately, to the theoretical foundations of political ecology, and numerous scholarly articles and books have been published recently. But beyond Andrew Vayda's "progressive contextualization" and Piers Blaikie and Harold Brookfield's "chains of explanation," remarkably little is written that provides a research model to follow, modify, and expand. Perhaps one of the reasons for this gap in scholarship is that, as expected in interdisciplinary research, researchers use a variety of methods that are suitable (and perhaps unique) to the questions they are asking. To start a conversation on the methods available for researchers interested in adopting a political ecology perspective to human-environmental interactions, I use my own research project as a case study. This research is by no means flawless or inclusive of all possible methods, but by using the details of this particular research process as a case study I hope to provide insights into field research that will be valuable for future scholarship.

Matched MeSH terms: Data Collection/methods
Fulltext Quality assurance in mammography: College of Radiology Survey in Malaysia

Ho EL, Ng KH, Wong JH, Wang HB

Med J Malaysia, 2006 Jun;61(2):204-8.
PMID: 16898312

Malaysia's mammography QA practice was surveyed based on the Malaysian Ministry of Health and the American College of Radiology (ACR) requirements. Data on mammography unit, processor, image receptor, exposure factors, mean glandular dose (MGD), sensitometry, image quality and viewbox luminance were obtained. Mean developer temperature and cycle time were 34.1 +/- 1.8degreesC and 107.7 +/- 33.2 seconds. Mean base+fog level, speed index and contrast index were 0.20+/-0.01, 1.20+/-0.01 and 1.33+/-0.26 respectively. Eighty-six percent of the fifty centres passed the image quality test while 12.5% complied with ACR recommended viewbox luminance. Average MGD was 1.0+/-0.4 mGy. Malaysia is on the right track for QA but with room for total quality improvement.

Matched MeSH terms: Data Collection/methods*
Fulltext Linking death reports from the Malaysian Family Life Survey-2 with birth and death certificates

Shamsuddin K, Lieberman E

Med J Malaysia, 1998 Dec;53(4):343-53.
PMID: 10971976

The Malaysian Family Life Survey--2 (MFLS-2) was a population-based survey conducted in Peninsular Malaysia in 1988-89. Through detailed birth histories, it attempted to collect information on all pregnancies and their outcomes from ever-married women, as well as socioeconomic and health services-utilization data that might have affected mortality. The survey did not, however, collect information on the causes of infant death. The two objectives of this study were to assess the feasibility of linking all reported deaths among live births of women interviewed in the MFLS-2 to the birth and death certificates kept by the National Registration Department, and to determine the causes of death from the successfully matched death certificates. This information could be used in the development of specific health programs to decrease infant and child mortality. In this study, the success rates for linking survey data to birth and death certificates were 34.5% and 31.8% respectively. Methodological problems faced during the study are discussed, as are the strengths and limitations of record linking as a means of increasing the utility of birth histories for studying the causes of death. Ways to improve linkage rates of survey data with the national birth and death registration are also suggested.
Study name: Malaysian Family Life Survey (MFLS-2)

Matched MeSH terms: Data Collection*
Reabsorption of returning workers from the Gulf: the Asian experience

Kazi S

Pak Dev Rev, 1994;33(4 Pt 2):1333-44.
PMID: 12346198
Matched MeSH terms: Data Collection*
[Demographic measurements as indicators? Population development in Malaysia and Nigeria compared]

Corvinus F

Geogr Rundsch, 1984 Nov;36(11):575-81.
PMID: 12313492
Matched MeSH terms: Data Collection*
Marital status composition and fertility: a comparative analysis of World Fertility Survey data

Kanjanapan W

Ingu munje nonjip, 1985 Jul.
PMID: 12222499
Matched MeSH terms: Data Collection*
Individual-level fertility measures derived from the own children method: an evaluation of Southeast Asian census data

Guest P

Majalah Demografi Indones, 1991 Jun;18(35):43-58.
PMID: 12317016
Matched MeSH terms: Data Collection*
Reliability of retrospective survey data on infant feeding

Haaga JG

Demography, 1988 May;25(2):307-14.
PMID: 3396753

This article examines retest reliability and digit preference in retrospective survey data on breastfeeding duration and type of supplementary food, covering three decades and reported by more than 1200 Malaysian women. Women with little or no education, rural residents, and those of Malay ethnicity are found to give less reliable data. In a logistic regression analysis, these respondent characteristics are more important determinants of data quality than the length of the recall period.

Matched MeSH terms: Data Collection/methods
Trends in infant feeding in developing countries

Notzon F

Pediatrics, 1984 Oct;74(4 Pt 2):648-66.
PMID: 6384917
Matched MeSH terms: Data Collection/methods
Fulltext Health-care data collecting, sharing, and using in Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia

Aljunid SM, Srithamrongsawat S, Chen W, Bae SJ, Pwu RF, Ikeda S, et al.

Value Health, 2012 2 1;15(1 Suppl):S132-8.
PMID: 22265060 DOI: 10.1016/j.jval.2011.11.004

This article sought to describe the health-care data situation in six selected economies in the Asia-Pacific region. Authors from Thailand, China mainland, South Korea, Taiwan, Japan, and Malaysia present their analyses in three parts. The first part of the article describes the data-collection process and the sources of data. The second part of the article presents issues around policies of data sharing with the stakeholders. The third and final part of the article focuses on the extent of health-care data use for policy reform in these different economies. Even though these economies differ in their economic structure and population size, they share some similarities on issues related to health-care data. There are two main institutions that collect and manage the health-care data in these economies. In Thailand, China mainland, Taiwan, and Malaysia, the Ministry of Health is responsible through its various agencies for collecting and managing the health-care data. On the other hand, health insurance is the main institution that collects and stores health-care data in South Korea and Japan. In all economies, sharing of and access to data is an issue. The reasons for limited access to some data are privacy protection, fragmented health-care system, poor quality of routinely collected data, unclear policies and procedures to access the data, and control on the freedom on publication. The primary objective of collecting health-care data in these economies is to aid the policymakers and researchers in policy decision making as well as create an awareness on health-care issues for the general public. The usage of data in monitoring the performance of the heath system is still in the process of development. In conclusion, for the region under discussion, health-care data collection is under the responsibility of the Ministry of Health and health insurance agencies. Data are collected from health-care providers mainly from the public sector. Routinely collected data are supplemented by national surveys. Accessibility to the data is a major issue in most of the economies under discussion. Accurate health-care data are required mainly to support policy making and evidence-based decisions.

Matched MeSH terms: Data Collection/methods*
Fulltext Perceptions and practice of exclusive breastfeeding among Malay women in Kelantan, Malaysia: a qualitative approach

Tengku AT, Wan AM, Zaharah S, Rohana AJ, Nik Normanieza NM

Malays J Nutr, 2012 Apr;18(1):15-25.
PMID: 23717858 MyJurnal

Despite evidence from various studies on exclusive breastfeeding (EBF) being best for infants, many women do not or are unable to practise EBF. This study aimed to examine perceptions on EBF and its influencing factors among a sample of Malay women in rural and urban areas in Kelantan, Malaysia.

Matched MeSH terms: Data Collection/methods
Survey of sickness in Singapore with notes on births, deaths, handicapped persons, puberty, menopause, immunisation, incidence of cough and adoption

LLOYD DAVIES TA, MILLS R

Med J Malaya, 1961 Mar;15:117-56.
PMID: 14466048
Matched MeSH terms: Data Collection*
Small-town migration to metropolitan centres: a case in Peninsular Malaysia

Lee Boon Thong

Dev Forum, 1979 Dec;9(2):51-60.
PMID: 12336533
Matched MeSH terms: Data Collection*
A retrospective assessment of current reproductive practices

Gabriel R, Shantharajan A

Malays J Reprod Health, 1994 Jun;12(1):10-3.
PMID: 12320336

PIP: Data from 297 interviews among married patients attending prenatal clinics in Malaysia in 1993 are used to determine the number, spacing, and timing of pregnancies. Only live born children are included. Findings indicate that 92.2% of women were 18-35 years old, 4.2% were under 18 years of age, and 3.6% were over 35 years old. 86.2% had 4 or fewer children and 13.8% had 4 or more children. 69.7% spaced children 2 or more years apart and 30.3% had birth spacing of under 2 years. Over 90% of women had their pregnancies during the ages of 18 and 35 years.

Matched MeSH terms: Data Collection*

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