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    <title>DSpace Collection:</title>
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    <dc:date>2026-04-09T07:03:18Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/12043">
    <title>Telemedicine Adoption in Developing Economies: A Systematic Review on the Enablers and Barriers</title>
    <link>http://localhost:8080/xmlui/handle/123456789/12043</link>
    <description>Title: Telemedicine Adoption in Developing Economies: A Systematic Review on the Enablers and Barriers
Authors: Macabato, Zaidbren; Clark Velasco, Lemuel; Escabarte, Art Brian; Poblete, Mae-Lanie; Isla Jr, Armando
Abstract: Abstract&#xD;
Telemedicine’s adoption has been effective in certain contexts despite being controversial in certain settings because of its tendency to cause misdiagnosis&#xD;
and concerns about data privacy. This study aimed to synthesize the research findings on the factors leading to the adoption of telemedicine among developing&#xD;
economies. The study utilized Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology to analyze 27 related literature and the&#xD;
Unified Theory of Acceptance and Use of Technology to map out the factors considered enablers and barriers in adopting telemedicine. Results showed that&#xD;
performance expectancy, effort expectancy, social influence, and facilitating conditions were significant predictors. However, the study also underscored that&#xD;
the lack of information and communications technology support, lack of resources, lack of organizational effectiveness, lack of quality care, lack of motivation,&#xD;
lack of trustworthiness, and lack of user satisfaction were predominant hindrances at both individual and organizational levels. This analysis on the enablers&#xD;
and barriers of telemedicine adoption hopes to contribute strategic recommendations that practitioners in public health, decision-makers in global health policy,&#xD;
technology developers, and future research may explore to expand the existing knowledge on the optimal adoption of telemedicine in developing economies.&#xD;
Keywords: barriers, enablers, technology adoption, telehealth, telemedicine</description>
    <dc:date>2024-11-01T00:00:00Z</dc:date>
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  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/12038">
    <title>Home Births Among Ethnic Minority Communities in Bokeo Province, Lao People's Democratic Republic</title>
    <link>http://localhost:8080/xmlui/handle/123456789/12038</link>
    <description>Title: Home Births Among Ethnic Minority Communities in Bokeo Province, Lao People's Democratic Republic
Authors: Wungrath, Jukkrit; Sriwongphan, Rungrasami; Kapheak, Krissana; Ritthimon, Wanchalerm
Abstract: Abstract&#xD;
Home births among ethnic minorities in developing countries pose significant risks to maternal and neonatal health. In Lao PDR, the government has taken&#xD;
steps to manage home births through training traditional birth attendants, improving transportation, and establishing referral systems. However, high home birth&#xD;
rates in regions like Bokeo remain concerning. This review emphasized the need for more skilled birth attendants and better access to emergency obstetric&#xD;
care in rural, ethnic minority areas. This review used 40 articles published between 2000 and 2023 and highlighted gaps in research regarding healthcare&#xD;
access, cultural practices, socioeconomic barriers, and the role of traditional birth attendants. Suggested strategies included scholarships for midwifery training,&#xD;
expanding telemedicine, enhancing emergency transport, and partnering with NGOs for culturally sensitive outreach. Although each strategy has limitations,&#xD;
collectively, they can improve maternal and newborn health outcomes and reduce home birth risks. Addressing cultural beliefs and preferences is essential to&#xD;
encourage healthcare use, and community engagement plays a key role in promoting safer birth practices while respecting traditions. A holistic approach&#xD;
combining skilled healthcare, cultural sensitivity, and accessible services is crucial to improving maternal and newborn care in ethnic minority communities in&#xD;
Lao PDR.&#xD;
Keywords: home birth, ethnic minority, community</description>
    <dc:date>2024-11-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/12036">
    <title>Social Determinants of Neonatal Health Outcomes in Indonesia: A Multilevel Regression Analysis</title>
    <link>http://localhost:8080/xmlui/handle/123456789/12036</link>
    <description>Title: Social Determinants of Neonatal Health Outcomes in Indonesia: A Multilevel Regression Analysis
Authors: Soeharno, Rooswanti; Chalik Sjaaf, Amal
Abstract: Abstract&#xD;
Indonesia’s neonatal mortality rate remains alarmingly high. This study addressed the determinants of neonatal outcomes in Indonesia, including the effects of&#xD;
a decentralized health system, socioeconomic disparities, and geographic variations. The analysis used 2018 national survey data across 34 provinces, 513&#xD;
cities/districts, and 300,000 households, with a sample of 73,864 women aged 10-54 years who have given birth in the preceding five years. The multilevel&#xD;
regression was used to assess the impact of social determinants and systemic inequalities on neonatal health. Key findings revealed a neonatal mortality rate&#xD;
that, despite being preventable in many cases, remained high with significant disparities. The final model, incorporating individual and community-level factors,&#xD;
reduced unexplained variance by 28% (PCV), with community factors explaining 16% of the variability (ICC 0.1600). The community-level risk variability also&#xD;
decreased, as shown by a reduction in the Median Odds Ratio from 2.43 to 2.13. These results highlighted the importance of targeting individual and community&#xD;
factors to reduce the risk of babies being born at risk. There is a critical need for targeted health policies and local-specific interventions to bridge the equity&#xD;
gap and improve neonatal health outcomes.&#xD;
Keywords: disparities, Indonesia, multilevel regression, neonatal, social determinants</description>
    <dc:date>2024-11-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://localhost:8080/xmlui/handle/123456789/12033">
    <title>Economic Growth, Poverty Gap, and Health Inequality: Implications Based on Panel Analysis of Organization for Economic Cooperation and Development Data</title>
    <link>http://localhost:8080/xmlui/handle/123456789/12033</link>
    <description>Title: Economic Growth, Poverty Gap, and Health Inequality: Implications Based on Panel Analysis of Organization for Economic Cooperation and Development Data
Authors: Han, Sangik
Abstract: Abstract&#xD;
This study investigated the impact of economic growth and income distribution on health inequality using data from the Organization for Economic Cooperation&#xD;
and Development (OECD). Employing a panel analysis, this study amalgamated 21 years of data (spanning from 2000 to 2020) from 37 OECD countries. The&#xD;
dependent variables (life expectancy and avoidable mortality) were scrutinized against independent variables (gross domestic product and poverty gap). Control&#xD;
variables encompassed body mass index, consumption patterns, smoking rates, health workers availability, number of beds in health facilities, national medical&#xD;
expenses, and unemployment rates. This study revealed significant associations between economic growth, poverty gap, and both life expectancy and&#xD;
avoidable mortality. This underscored the necessity of prioritizing not only income distribution but also overall economic growth to address health inequality&#xD;
effectively. This study established that an increase in the poverty gap corresponded to elevated life expectancy and reduced avoidable mortality rates,&#xD;
suggesting a mechanism distinct from a medical security system targeting lower-income individuals or an enhancement of societal welfare. Proposing policy&#xD;
measures to alleviate health inequality, this study advocates for policy interventions to mitigate the adverse impacts of income inequality within healthcare&#xD;
policies.&#xD;
Keywords: fixed effect model, health disparity, health inequality, panel analysis</description>
    <dc:date>2024-11-01T00:00:00Z</dc:date>
  </item>
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