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The National Hospice and Palliative Care registry in Korea
Kyuwoong Kim, Bohyun Park, Bonju Gu, Eun Jeong Nam, Sue Hyun Kye, Jin Young Choi
Epidemiol Health. 2022;44:e2022079.   Published online September 21, 2022
DOI: https://doi.org/10.4178/epih.e2022079
  • 3,710 View
  • 139 Download
  • 1 Web of Science
  • 3 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
The National Hospice and Palliative Care (NHPC) registry is a nationwide database in Korea that systematically collects information on terminally ill cancer patients receiving inpatient hospice care. From 2018 to 2020, a total of 47,911 patients were enrolled in the NHPC registry from hospitals providing inpatient hospice care. The NHPC database mainly contains the socio-demographic and clinical information of the registered patients. Among these patients, approximately 75% were 60 years or older, and the ratio of males to females was 1:1.41. Lung, liver, colorectal, pancreatic, and gastric cancer made up nearly 90% of the cancer sites among the registered patients. Upon their initial admission to the hospice ward, around 80% of the patients were aware of their terminal illness. About half of the patients had mild pain at the time of the initial admission to the hospice ward, and the duration of hospice care was 14 days (interquartile range, 6-30) in 2019 and 2020. The NHPC registry aims to provide national statistics on inpatient hospice care to assist health policy-making.
Summary
Korean summary
본 논문에서 소개된 국가 호스피스·완화의료 등록시스템은 국내 입원형 호스피스 환자의 인구사회학적 특성과 임상정보에 관한 정보를 포함하고 있습니다. 등록시스템은 국내 호스피스·완화의료 현황에 대한 국가통계 생산, 근거기반 호스피스·완화의료 정책 개발 및 연구 등에 활용될 수 있습니다.
Key Message
The National Hospice and Palliative Care registry contains information on demographics and clinical information of patients receiving inpatient hospice care in Korea. Along with its primary purpose to provide national statistics on the current status of hospice care in the country, the registry could also be used for evidence-based health policy or research pertaining to hospice in Korea.

Citations

Citations to this article as recorded by  
  • Advance Care Planning in South Korea
    Yu Jung Kim, Sun-Hyun Kim
    Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen.2023; 180: 68.     CrossRef
  • Changes in the Place of Death of Patients With Cancer After the Introduction of Insurance-Covered, Home-Based Hospice Care in Korea
    Il Yun, Sung-In Jang, Eun-Cheol Park, Suk-Yong Jang
    JAMA Network Open.2023; 6(11): e2341422.     CrossRef
  • Application of Acceptance and Commitment Therapy (ACT) in Hospice and Palliative Care Settings
    So-Young Park
    The Journal of Hospice and Palliative Care.2023; 26(3): 140.     CrossRef
The Korea National Health and Nutrition Examination Survey data linked Cause of Death data
Sungha Yun, Kyungwon Oh
Epidemiol Health. 2022;44:e2022021.   Published online February 9, 2022
DOI: https://doi.org/10.4178/epih.e2022021
  • 12,237 View
  • 625 Download
  • 9 Web of Science
  • 7 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
The Korea National Health and Nutrition Examination Survey (KNHANES) is a national health survey that is conducted annually to assess the health and and health-related behaviors of Korean population. To utilize KNHANES data to studies of mortality risk factors, the Korea Disease Control and Prevention Agency (KDCA) constructed a database linking KNHANES data to cause-of-death statistics in Statistics Korea, made available to researchers since 2020. The KNHANES data were linked to the Cause of Death Statistics based on resident registration numbers for subjects aged 19 years or older who agreed to link the data. The linkage rate between 2007-2015 National Health and Nutrition Examination Survey and 2007-2019 Cause of Death Statistics was 97.1%. In the linked dataset, the total death rate was 6.6%, of which neoplasms accounted for the highest death rate (32.1%), followed by circulatory system disease (22.7%) and respiratory system disease (11.5%). The linked dataset was made available through the Research Data Center of the KDCA after a review of the research proposal, and will be made available after periodical updates.
Summary
Korean summary
1. 국민건강영양조사 자료가 사망 위험요인 규명 연구에 활용되도록 통계청의 사망원인통계와 연계자료 구축함 2. 2007~2015년 국민건강영양조사와 2007~2019년 사망원인통계의 연계율은 97.1%이었음 3. 국민건강영양조사-사망원인통계 연계자료는 2020년부터 연구자에게 질병관리청 내 학술연구자료처리실를 통해 제공되고 있음
Key Message
1. To utilize the Korea National Health and Nutrition Examination Survey (KNHANES) data to studies of mortality risk factors, the data were linked to the Cause of Death Statistics in the Statistics Korea. 2. The linkage rate between the 2007-2015 KNHANES and the 2007-2019 Cause of Death Statistics was 97.1%. 3. The Korea National Health and Nutrition Examination Survey data linked Cause of Death data have been provided to researchers through the Research Data Center in the Korea Disease Control and Prevention Agency (KDCA) since 2020.

Citations

Citations to this article as recorded by  
  • Computational method of the cardiovascular diseases classification based on a generalized nonlinear canonical decomposition of random sequences
    Igor Atamanyuk, Yuriy Kondratenko, Valerii Havrysh, Yuriy Volosyuk
    Scientific Reports.2023;[Epub]     CrossRef
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    Nutrients.2023; 15(6): 1501.     CrossRef
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    The Korean Journal of Internal Medicine.2023; 38(5): 714.     CrossRef
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Epidemiologic Investigation
How to improve the human brucellosis surveillance system in Kurdistan Province, Iran: reduce the delay in the diagnosis time
Meysam Olfatifar, Seyed Mehdi Hosseini, Payam Shokri, Soheila Khodakarim, Naghmeh Khadembashi, Sajjad Rahimi Pordanjani
Epidemiol Health. 2020;42:e2020058.   Published online August 10, 2020
DOI: https://doi.org/10.4178/epih.e2020058
  • 9,433 View
  • 176 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Spatial information makes a crucial contribution to enhancing and monitoring the brucellosis surveillance system by facilitating the timely diagnosis and treatment of brucellosis.
METHODS
An exponential scan statistic model was used to formalize the spatial distribution of the adjusted delay in the diagnosis time of brucellosis (time between onset and diagnosis of the disease) in Kurdistan Province, Iran. Logistic regression analysis was used to compare variables of interest between the clustered and non-clustered areas.
RESULTS
The spatial distribution of clusters of human brucellosis cases with delayed diagnoses was not random in Kurdistan Province. The mean survival time (i.e., time between symptom onset and diagnosis) was 4.02 months for the short spatial cluster, which was centered around the city of Baneh, and was 4.21 months for spatiotemporal clusters centered around the cities of Baneh and Qorveh. Similarly, the mean survival time for the long spatial and spatiotemporal clusters was 6.56 months and 15.69 months, respectively. The spatial distribution of the cases inside and outside of clusters differed in terms of livestock vaccination, residence, sex, and occupational variables.
CONCLUSIONS
The cluster pattern of brucellosis cases with delayed diagnoses indicated poor performance of the surveillance system in Kurdistan Province. Accordingly, targeted and multi-faceted approaches should be implemented to improve the brucellosis surveillance system and to reduce the number of lost days caused by delays in the diagnosis of brucellosis, which can lead to long-term and serious complications in patients.
Summary

Citations

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  • Spatio-temporal Analysis of COVID-19: A Global Study
    Sajjad Rahimi Pordanjani, Maryam Mohammadian, Somayeh Derakhshan, Fatemeh Hadavandsiri, Seyed Saeed Hashemi Nazari, Mohammad Hossein Panahi
    Middle East Journal of Rehabilitation and Health Studies.2023;[Epub]     CrossRef
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    Jingbo Zhai, Ruihao Peng, Ying Wang, Yuying Lu, Huaimin Yi, Jinling Liu, Jiahai Lu, Zeliang Chen
    Frontiers in Public Health.2021;[Epub]     CrossRef
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    Xin-Ming Yang, Yong-Li Jia, Ying Zhang, Pei-Nan Zhang, Yao Yao, Yan-Lin Yin, Ye Tian
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MERS-Editorial
2015 MERS outbreak in Korea: hospital-to-hospital transmission
Moran Ki
Epidemiol Health. 2015;37:e2015033.   Published online July 21, 2015
DOI: https://doi.org/10.4178/epih/e2015033
  • 38,018 View
  • 403 Download
  • 40 Web of Science
  • 151 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
The distinct characteristic of the Middle East Respiratory Syndrome (MERS) outbreak in South Korea is that it not only involves intra-hospital transmission, but it also involves hospital-to-hospital transmission. It has been the largest MERS outbreak outside the Middle East, with 186 confirmed cases and, among them, 36 fatal cases as of July 26, 2015. All confirmed cases are suspected to be hospital-acquired infections except one case of household transmission and two cases still undergoing examination. The Korean health care system has been the major factor shaping the unique characteristics of the outbreak. Taking this as an opportunity, the Korean government should carefully assess the fundamental problems of the vulnerability to hospital infection and make short- as well as long-term plans for countermeasures. In addition, it is hoped that this journal, <i>Epidemiology and Health</i>, becomes a place where various topics regarding MERS can be discussed and shared.
Summary
Korean summary
한국의 메르스 유행은 병원내 감염뿐 아니라 병원에서 병원으로 전파되는 양상을 보인 것이 특징이다. 사우디아라비아 다음으로 가장 많은 환자가 발생하였는데 전체 확진자는 186명이고, 이중에 사망자는 36명이다. 확진자 대부분이 병원에서 감염된 것으로 추정된다. 가족간 감염이 의심되는 경우는 1명정도이며, 2명은 경로를 조사중인데 이중에 한명은 지역사회 감염이 의심된다. 한국의 의료체계 특성이 이번 유행에 중요한 요인이 되었다. 이 기회에 한국은 병원감염관리에 취약한 우리의 근본적인 문제점을 살펴서 장단기적인 대책을 마련하여야 할 것이다. 또한 역학회지가 메르스와 관련된 다양한 주제가 논의되는 장이 되기를 바란다.

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Original Articles
Actual Conditions and Pitfalls of Death Statistics Based on the Current Death Registration System in Korea.
Jin Ho Chun, Kyung Sook Lee
Korean J Epidemiol. 2000;22(2):124-135.
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  • 24 Download
AbstractAbstract PDF
Abstract
BACKGROUND
Death statistics is the most basic one among health-related statistics. This study was conducted to propose actual data to improve the quality of death statistics through a review of the contents of total registered death reports which are primary sources of death statistics.
METHODS
The author reviewed the recent regulations about the death registration and analyzed contents of the total 1,383 death certificates written out from January, 1998 to December, 1999 in a county of Kyungsangnamdo, Korea.
RESULTS
The two laws - the Family Registration Act and the Medical Act that mainly control death registration, and the two legal forms - death certificates and death report form that actually used were not accorded. This is a reason why there occurred frequent mistakes in the current death registration. Also, there was no way to correct the incomplete contents of death certificate primarily written by doctors. Among 1,383 death report cases, 83.9% of death was due to illness. The causes of the death were generally incredible; diverse expression even on the same disease, incorrect and inadequate expression, not standardized by standard classification of disease, and unwritten or 'unknown' especially in case of the intermediate underlying and underlying cause. The major place of death was home(67.8%) and medical facilities(22.3%). And, it considered that the welfare facilities should be added as one of the place of death. The proportion of the doctors' diagnosis for death was as high as 96.6%, however, the death certificates issued by a clinic had many problems in aspect of accuracy and completeness. In the time spent for the death report, 98.0% reported within the legal term of one month.
CONCLUSIONS
The authors propose the followings to improve the quality of death statistics. First of all, contents of the two laws should be unified. Secondly, concerns and professionalism of the personnel who deal with death registration are should be strengthened. Thirdly, the regular and reinforcing training for the doctors and the officials who issue the death certificates should be emphasized with consistent upgrade of the standard guidelines. Fourthly, the death reporting system should be qualified through the validation of the contents of the death report forms, i.e., checked by medical doctor or medical professionals in the Community Health Center in the process of the receipt, informing, and report.
Summary
Population-adjusted Mean Age at Incidence (PAMA) for Comparing Incidence Patterns with Age in Different Populations.
Yoon Ok Ahn, Moo Song Lee, Weechang Kang, Chung Min Lee, Youngjo Lee
Korean J Epidemiol. 1999;21(1):31-35.
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  • 4 Download
AbstractAbstract PDF
Abstract
Standardized incidence rates have been widely used for comparing incidence patterns between populations, adjusting for differences in demographic structure. These rates can compare overall incidence levels, but to fully understand incidence patterns, an index which links incidence with age is also needed. The authors proposed a statistical method for estimating population-adjusted mean age of incidence (PAMA), based on Poisson distribution and Fieller's theorem. The index was applied with several modifications to data relating to the incidence of breast cancer among Caucasian women living in Los Angeles.
Summary
Methodologic Considerations on the Cohort Study of Risk Factors of Stomach Cancer: On the Incompleteness of Case Ascertainment.
Moo Song Lee, Wee Chang Kang, Dong Hyun Kim, Jong Myun Bae, Myung Hee Shin, Young Jo Lee, Yoon Ok Ahn
Korean J Epidemiol. 1997;19(2):152-160.
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  • 19 Download
AbstractAbstract PDF
Abstract
BACKGROUND
AND PURPOSE: The authors conducted the study to evaluate the incompleteness of follow-up as well as the validity of the diagnostic code in the medical insurance databases in a cohort study. They also suggested several useful regression models for the analysis of such incomplete data.
METHODS
The subjects of Seoul Cohort(n=14,533) were followed up for three and a half years. Based on the chart reviews of the subjects who had the diagnostic code of gastric cancer in the medical insurance databases, forty-four cases of gastric cancer were idenfified, using cancer registry databases and death certificates as the secondary source. Regression coefficients and the associated p-values were estimated using the following six methods and the results were compared with each other. Method 1: The subjects with the diagnostic code in the medical insurance databases were considered as the cases of gastric cancer.
Method
2: The confirmed cases were considered as the cases of gastric cancer. Method 3: The cases were the subjects with the diagnositc code whose diagnosis was confirmed by medical chart reriew. Method 4: Ordinal logistic regression.
Method
5: Weighted logistic regression. Method 6: Polytomous logistic regression RESULTS: A total of 12,541 subjects were followed up excluding censored cases. One hundred and nine subjects were diagnosed with gastric cancer in the medical utilization databases: forty-three were probable cases whose dianosis was not confrimed by chart review, twenty-six were ruled out and 26 were confirmed cases. Another 14 cases were confirmed using the cancer registry and death certificates. Using the secondary sources, four another cases were confirmed and 44 cases were confirmed during follow-up. In method 1, past history of gastritis and gastric ulcer was significant risk factor whereas intake frequency of fresh vegetable, ice cream and coffee was associated with significantly decreased risk. In the second and the sixth method, green tea was a significant protective factor, whereas in methods 3-5, no significant variables were found.
CONCLUSIONS
Polytomous logistic regression was the preferred method in the cohort study using secondary sources of information for the follow-up, and it provided additional information for the risk factor identification, especially for the specificity of the risk factors.
Summary

Epidemiol Health : Epidemiology and Health