• Title/Summary/Keyword: Public healthcare

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Why Screening Rates Vary between Korea and Japan-Differences between Two National Healthcare Systems

  • Goto, Rei;Hamashima, Chisato;Mun, Sunghyun;Lee, Won-Chul
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.2
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    • pp.395-400
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    • 2015
  • Both Japan and Korea provide population-based screening programs. However, screening rates are much higher in Korea than in Japan. To clarify the possible factors explaining the differences between these two countries, we analyzed the current status of the cancer screening and background healthcare systems. Population-based cancer screening in Korea is coordinated well with social health insurance under a unified insurer system. In Japan, there are over 3,000 insurers and coordinating a comprehensive strategy for cancer screening promotion has been very difficult. The public healthcare system also has influence over cancer screening. In Korea, public healthcare does not cover a wide range of services. Almost free cancer screening and subsidization for medical cost for cancers detected in population-screening provides high incentive to participation. In Japan, on the other hand, a larger coverage of medical services, low co-payment, and a lenient medical audit enables people to have cancer screening under public health insurance as well as the broad range of cancer screening. The implementation of evidence-based cancer screening programs may be largely dependent on the background healthcare system. It is important to understand the impacts of each healthcare system as a whole and to match the characteristics of a particular health system when designing an efficient cancer screening system.

Forecasting COVID-19 Transmission and Healthcare Capacity in Bali, Indonesia

  • Wirawan, I Md Ady;Januraga, Pande Putu
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.3
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    • pp.158-163
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    • 2020
  • Objectives: In the current early phase of the coronavirus disease 2019 (COVID-19) outbreak, Bali needs to prepare to face the escalation of cases, with a particular focus on the readiness of healthcare services. We simulated the future trajectory of the epidemic under current conditions, projected the impact of policy interventions, and analyzed the implications for healthcare capacity. Methods: Our study was based on the first month of publicly accessible data on new confirmed daily cases. A susceptible, exposed, infected, recovered (SEIR) model for COVID-19 was employed to compare the current dynamics of the disease with those predicted under various scenarios. Results: The fitted model for the cumulative number of confirmed cases in Bali indicated an effective reproduction number of 1.4. Interventions have decreased the possible maximum number of cases from 71 125 on day 86 to 22 340 on day 119, and have prolonged the doubling time from about 9 days to 21 days. This corresponds to an approximately 30% reduction in transmissions from cases of mild infections. There will be 2780 available hospital beds, and at the peak (on day 132), the number of severe cases is estimated to be roughly 6105. Of these cases, 1831 will need intensive care unit (ICU) beds, whereas the number of currently available ICU beds is roughly 446. Conclusions: The healthcare system in Bali is in danger of collapse; thus, serious efforts are needed to improve COVID-19 interventions and to prepare the healthcare system in Bali to the greatest extent possible.

Anticipating the Need for Healthcare Resources Following the Escalation of the COVID-19 Outbreak in the Republic of Kazakhstan

  • Semenova, Yuliya;Pivina, Lyudmila;Khismetova, Zaituna;Auyezova, Ardak;Nurbakyt, Ardak;Kauysheva, Almagul;Ospanova, Dinara;Kuziyeva, Gulmira;Kushkarova, Altynshash;Ivankov, Alexandr;Glushkova, Natalya
    • Journal of Preventive Medicine and Public Health
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    • v.53 no.6
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    • pp.387-396
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    • 2020
  • Objectives: The lack of advance planning in a public health emergency can lead to wasted resources and inadvertent loss of lives. This study is aimed at forecasting the needs for healthcare resources following the expansion of the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Kazakhstan, focusing on hospital beds, equipment, and the professional workforce in light of the developing epidemiological situation and the data on resources currently available. Methods: We constructed a forecast model of the epidemiological scenario via the classic susceptible-exposed-infected-removed (SEIR) approach. The World Health Organization's COVID-19 Essential Supplies Forecasting Tool was used to evaluate the healthcare resources needed for the next 12 weeks. Results: Over the forecast period, there will be 104 713.7 hospital admissions due to severe disease and 34 904.5 hospital admissions due to critical disease. This will require 47 247.7 beds for severe disease and 1929.9 beds for critical disease at the peak of the COVID-19 outbreak. There will also be high needs for all categories of healthcare workers and for both diagnostic and treatment equipment. Thus, Republic of Kazakhstan faces the need for a rapid increase in available healthcare resources and/or for finding ways to redistribute resources effectively. Conclusions: Republic of Kazakhstan will be able to reduce the rates of infections and deaths among its population by developing and following a consistent strategy targeting COVID-19 in a number of inter-related directions.

Initiate Architecture Design Guideline Study for Infectious Disease Response Facilities in Public Health Centers - Focused on Field Survey for Temporary Facilities (지역보건의료기관 감염병 대응시설 계획을 위한 기초연구 - 임시시설 현장 조사 중심으로)

  • Kang, Jeeeun;Kwon, Soonjung
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.30 no.1
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    • pp.27-36
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    • 2024
  • Purpose: The role and facilities of public health centers responsible for local health are becoming increasingly important due to recurring infectious diseases such as COVID-19. With sudden outbreaks of infectious diseases, the infrastructure of public health center facilities like screening clinics are constructed varies depending on local conditions. resulting in discrepancies between intended usage and actual usage. Establishing guidelines for infectious disease response facilities that can be efficiently used within local communities is necessary. Methods: Field surveys are conducted at 6 public health centers to gather insights into the essential rooms, circulation patterns, and key considerations for space planning in screening clinics. Results: Ten design considerations emerge from the data, including spatial requirements, circulation guidelines, and considerations for accommodating diverse user needs and local conditions. Implications: Further research is needed to translate these guidelines into prototypes of temporary facilities.

Factors Affecting the Negative Perception of Public Hospitals among Local Residents (지역 주민의 공공병원에 대한 부정적 인식에 영향을 미치는 요인)

  • Eun Hye Choi;Jung Hee Cho;Kyoung Eun Yeob;Bo Hui Park;So Young Kim;Jong Hyock Park
    • Health Policy and Management
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    • v.34 no.2
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    • pp.211-221
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    • 2024
  • Background: The public health crisis caused by coronavirus disease 2019 emphasizes the need to expand and strengthen public hospitals. However, the overall perception of public hospitals remains negative. This negative perception can hinder the roles and functions of public hospitals, so this study aims to analyze the factors affecting negative perceptions of public hospitals. Methods: We used data from a survey on the public healthcare of Chungcheongbuk-do residents conducted by the Chungcheongbuk-do Public Health Policy Institute, and 1,916 adults aged 19 or older who responded to the survey were included in the study. Logistic regression analysis was used to analyze the impact of experiences with public hospitals use and evaluations of public healthcare and public hospital policies on the negative perception of public hospitals. Results: The experience of not using public hospitals (adjusted odds ratio [aOR], 1.69; 95% confidence interval [CI], 1.04-2.74) and negative evaluations of public healthcare and public hospital policies were found to significantly impact negative perceptions of public hospitals. In public healthcare policies, negative evaluations of the provision of essential medical care (aOR, 4.14; 95% CI, 2.59-6.62), regional disparities (aOR, 1.59; 95% CI, 1.02-2.49), coverage (aOR, 1.99; 95% CI, 1.25-3.16), and quality of care (aOR, 2.39; 95% CI, 1.50-3.80) were significantly associated with negative perceptions of public hospitals. In public hospital policies, negative evaluations of facilities and equipment (aOR, 3.74, 95% CI, 2.36-5.94), medical specialties and services (aOR, 1.91; 95% CI, 1.21-3.01), and quality of medical service (aOR, 2.71; 95% CI, 1.72-4.25) were also significantly associated with negative perceptions of public hospitals. Conclusion: This study emphasizes the need to improve perceptions of public hospitals by considering the experience with public hospitals use and evaluation of public healthcare and public hospital policies.

Cloud-based Healthcare data management Framework

  • Sha M, Mohemmed;Rahamathulla, Mohamudha Parveen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1014-1025
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    • 2020
  • Cloud computing services changed the way the data are managed across the healthcare system that can improve patient care. Currently, most healthcare organizations are using cloud-based applications and related services to deliver better healthcare facilities. But architecting a cloud-based healthcare system needs deep knowledge about the working nature of these services and the requirements of the healthcare environment. The success is based on the usage of appropriate cloud services in the architecture to manage the data flow across the healthcare system.Cloud service providers offer a wide variety of services to ingest, store and process healthcare data securely. The top three public cloud providers- Amazon, Google, and Microsoft offers advanced cloud services for the solution that the healthcare industry is looking for. This article proposes a framework that can effectively utilize cloud services to handle the data flow among the various stages of the healthcare infrastructure. The useful cloud services for ingesting, storing and analyzing the healthcare data for the proposed framework, from the top three cloud providers are listed in this work. Finally, a cloud-based healthcare architecture using Amazon Cloud Services is constructed for reference.

Analysis of Trends in Willingness to Pay Research in Healthcare Service of Korea

  • Seo, Soyoung;Jang, Soong-Nang
    • Research in Community and Public Health Nursing
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    • v.32 no.1
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    • pp.24-39
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    • 2021
  • Purpose: This study was to review the previous studies on the 'Willingness to Pay (WTP)' for healthcare services and suggest future implications for nursing research. Methods: Using the scoping review method, we used RISS, KISS, KMbase, Koreamed, PubMed, EMbase, CINAHL as searching engines. According to the selection and exclusion criteria, 40 appropriate studies were selected and analyzed. Results: 24 studies were categorized into medical service field among medical, public health, and nursing service fields. A total of 16 studies were related to healthcare system (policies), 13 studies were to the healthcare intervention, and 11 studies were categorized into the health management. Most of the methods for eliciting WTP (70%) were about a contingent valuation method (CVM), and the use of double bounded dichotomous choice (DBDC) tended to increase. In the nursing field, five WTP studies were identified: two studies published in the early years of 2000, which were conducted on hospital-based home health visit services. Recent studies were mostly about counseling and education by advanced practice nurses (APNs). Conclusion: WTP studies on healthcare services were largely published from the medical fields and health policy areas with the CVM method. In the field of nursing, studies have been conducted on the subject of limited service areas. More active exploration of research topics is required, particularly under the current policy setting, where discussion of the public health insurance fee for nursing practice is essential.

The Great Divide: How the Pandemic Widened Socioeconomic Inequalities

  • Choongik CHOI;Kwang-Hoon LEE
    • East Asian Journal of Business Economics (EAJBE)
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    • v.11 no.2
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    • pp.71-80
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    • 2023
  • Purpose - The pandemic has magnified and deepened existing socioeconomic disparities, including healthcare, education, income, gender, and housing. This study aims to examine the intersectionality of these disparities and their implications for promoting equity and justice. Research design, data, and methodology - This study is a comprehensive review of the literature on the impact of the COVID-19 pandemic on socioeconomic disparities. The review includes empirical studies, policy reports, and academic articles on healthcare, education, income, gender, and housing disparities. Result - The pandemic has exposed significant disparities in healthcare, education, income, gender, and housing. Healthcare disparities have been highlighted, and there is a need for more equitable access to care and addressing social determinants of health. Educational and income disparities are closely linked, perpetuating cycles of poverty and inequality. Gender disparities have been exacerbated, with women experiencing disproportionate impacts on their health, well-being, and economic security. The pandemic has highlighted the need for safe, stable, and affordable housing. Conclusion - The pandemic has brought to light numerous socioeconomic disparities that require systemic change to address. Promoting equity and justice requires a comprehensive, long-term approach that addresses systemic factors and promotes social and economic equity. By taking action to address these issues, we can create a more just and equitable society that promotes the health and well-being of all its members.