- Analysis of the Factors Related to the Needs of Patients with Cancer.
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Jung A Lee, Sun Hee Lee, Jong Hyock Park, Jae Hyun Park, Sung Gyeong Kim, Ju Hyun Seo
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J Prev Med Public Health. 2010;43(3):222-234.
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DOI: https://doi.org/10.3961/jpmph.2010.43.3.222
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5,900
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- OBJECTIVES
Limited research has investigated the specific needs of patients with cancer. This study was performed to explore patients needs and the related factors. METHODS: The data were collected by 1 National Cancer Center and 9 regional cancer centers in Korea. An interview survey was performed with using a structured questionnaire for the subjects(2661 patients who gave written informed consent to particiate) survey 4 months after diagnosis and review of medical records. Data were analyzed using t-test, ANOVA and multiple regression analysis. RESULTS: When comparing the relating factors related with patient needs to the sociodemographic characteristics, the female group showed a higher level of recognition for physical symptoms, social support needs. The younger group showed a significantly higher level of recognition for health care staff, psychological problems, information and education, social support, hospital services needs. In addition, the higher educated group showed a higher level of recognition for health care staff, physical symptoms, social support needs. The higher income and office workers group showed a higher level of recognition for hospital services needs. When comparing the relating factors related with patient needs to the cancer, the breast cancer group showed a higher level of recognition for all needs excluding physical symptoms, accessibility and financial support needs. The combined radiotherapy with surgery and chemotherapy group showed a higher level of recognition for psychological problems, information and education, social support needs. CONCLUSIONS: This study showed that needs on patient with cancer was significantly influenced by female, higher educagion, lower income, having religion, office worker, liver cancer, breast cancer, colon cancer, chemotherapy, and combined therapy.
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Seyoung Lee, Hoyoung Kim, Nayeon Kim, Misun Yi, Ayoung Lee, Seonmi Cho, Minsun Nam, Juhee Cho
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Min Ah Yun, So Sun Kim, SangHee Kim, Sung Hoon Noh
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Hui-jeong Park, Kyunghee Kim, Ji-su Kim
Asian Oncology Nursing.2015; 15(2): 106. CrossRef - The Association Between Perceived Social Support and Continued Smoking in Cancer Survivors
H.-K. Yang, D.-W. Shin, J.-H. Park, S.-Y. Kim, C.-S. Eom, S. Kam, J.-H. Choi, B.-L. Cho, H.-G. Seo
Japanese Journal of Clinical Oncology.2013; 43(1): 45. CrossRef - Psychosocial needs of cancer patients and related factors: a multi‐center, cross‐sectional study in Korea
Kyung‐Hyun Choi, Jae‐Hyun Park, Jong‐Hyock Park, Joo‐Sung Park
Psycho-Oncology.2013; 22(5): 1073. CrossRef
- Economic Burden of Cancer in South Korea for the Year 2005.
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Jinhee Kim, Myung Il Hahm, Eun Cheol Park, Jae Hyun Park, Jong Hyock Park, Sung Eun Kim, Sung Gyeong Kim
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J Prev Med Public Health. 2009;42(3):190-198.
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DOI: https://doi.org/10.3961/jpmph.2009.42.3.190
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7,322
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150
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44
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- OBJECTIVES
The objective of this study is to estimate the economic costs of cancer on society. METHODS: We estimated the economic burden of people with cancer in South Korea. To perform the analysis, we reviewed the records of people who were cancer patients and those who were newly diagnosed with cancer. The data was compiled from the National Health Insurance Corporation, which included the insurance claims database, a list of cancer patients, a database that records the cancer rates, the Korea Central Cancer Registry Center's cancer patient registry database and the Korea National Statistical Office's causes of death database. We classified the costs as related to cancer into direct costs and indirect costs, and we estimated each cost. Direct costs included both medical and non-medical care expenses and the indirect costs consisted of morbidity, mortality and the caregiver's time costs. RESULTS: The total economic costs of cancer in South Korea stood at 14.1 trillion won in 2005. The largest amount of the cost 7.4 trillion won, was the mortality costs. Following this were the morbidity costs (3.2 trillion won), the medical care costs (2.2 trillion won), the non-medical care costs (1.1 trillion won) and the costs related to the caregiver's time (100 billion won). As a result, the economic cost of cancer to South Korea is estimated to be between 11.6 trillion won to 14.1 trillion won for the year 2005. CONCLUSIONS: We need to reduce the cancer burden through encouraging people to undergo early screening for cancer and curing it in the early stage of cancer, as well as implementing policies to actively prevent cancer.
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Citations
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Journal of Korean Medical Science.2016; 31(Suppl 2): S168. CrossRef - Factors Influencing the of Middle-Aged Men the NCSP(National Cancer Screening Program)
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Clinical Transplantation.2015; 29(2): 124. CrossRef - The Epidemiology and Economic Burden ofClostridium difficileInfection in Korea
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Kyung-Ock Jeon, Sun-Young Son, Myung-Il Hahm, Soon-Il Kim
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Ju-Young Byun, Seok-Jun Yoon, In-Hwan Oh, Young Ae Kim, Hye-Young Seo, Yo-Han Lee
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Kyohyun Kim, Baek-Geun Jeong, Moran Ki, Mira Park, Jin Kyung Park, Bo Youl Choi, Weon-Seob Yoo
Epidemiology and Health.2014; 36: e2014011. CrossRef - Economic Burden of Cancer in Korea during 2000-2010
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Dong Wook Shin, BeLong Cho, So Young Kim, Je Hyuck Jung, Jong Hyock Park
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Kyu Sik Choi, Jae Hyun Park, Kwang Sig Lee
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Sung-In Jang, Kwang-Sig Lee, Eun-Cheol Park
Journal of Preventive Medicine and Public Health.2013; 46(6): 329. CrossRef - Union for International Cancer Control International Session: Healthcare Economics: The significance of the UN summit non‐communicable diseases political declaration in Asia
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Cancer Science.2013; 104(6): 773. CrossRef - A Single Measure of Cancer Burden in Korea from 1999 to 2010
Kyoung-Hee Cho, Sohee Park, Kwang-Sig Lee, Sung-In Jang, Ki-Bong Yoo, Jae-Hyun Kim, Eun-Cheol Park
Asian Pacific Journal of Cancer Prevention.2013; 14(9): 5249. CrossRef - The Socioeconomic Burden of Coronary Heart Disease in Korea
Hoo-Sun Chang, Han-Joong Kim, Chung-Mo Nam, Seung-Ji Lim, Young-Hwa Jang, Sera Kim, Hye-Young Kang
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- Effects of Private Health Insurance on Health Care Utilization and Expenditures in Korean Cancer Patients: Focused on 5 Major Cancers in One Cancer Center.
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Jin Hwa Lim, Kui Son Choi, Sung Gyeong Kim, Eun Cheol Park, Jae Hyun Park
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J Prev Med Public Health. 2007;40(4):329-335.
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DOI: https://doi.org/10.3961/jpmph.2007.40.4.329
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5,207
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- OBJECTIVES
To identify the effects of supplemental private health insurance on health care utilization and expenditure under the mandatory National Health Insurance(NHI) system in Korea. METHODS: The data were collected by the National Cancer Center in Korea. Cancer patients who were newly diagnosed with stomach (ICD code, C16), lung(C33-C34), liver (C22), colorectal cancer(C18-C20) or breast(C50) cancer were included as study subjects. Data were gathered using a structured questionnaire from face-to-face interviews, the hospital Order Communication System (OCS) and medical records. Clinical, socio-demographic and private health insurance related factors were also gathered. The differences of health care utilization and expenditure were compared between those who have private health insurance and those who do not using t-test and multivariable regression analysis. RESULTS: Individuals with private health insurance spent larger inpatient costs than those without, but no differences were found in utilization in other service such as hospital admissions, hospital days and physician visits. CONCLUSIONS: We found that private health insurance exerts a significant effect on the health care expenditure in inpatient service. These study results can provide a rational basis to plan a national health policy regarding private health insurance. Further studies are needed to investigate the impacts of private health insurance on cancer patients' outcomes and survival rates.
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Summary
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Citations
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Jung Ae Lee, Nam Kwon Lee, Won Sup Yoon, Dae Sik Yang, Chul Yong Kim, Se Ryun Lee, Hwa Jeong Seong
Asia-Pacific Journal of Clinical Oncology.2017;[Epub] CrossRef - Cancer Treatment near the End-of-Life Becomes More Aggressive: Changes in Trend during 10 Years at a Single Institute
Younak Choi, Bhumsuk Keam, Tae Min Kim, Se-Hoon Lee, Dong-Wan Kim, Dae Seog Heo
Cancer Research and Treatment.2015; 47(4): 555. CrossRef - Ubiquitous Environment with Private Health Insurance and the Relevance of Length of Stay
Dong-Ruyl Jang, Seong-Woo Choi, Bu-Yeon Park, Sung-Gil Kim
The Journal of the Korea institute of electronic communication sciences.2014; 9(2): 203. CrossRef - Analysis of factors affecting the life quality of the patients with late stomach cancer
Yan‐Mei Ma, Cai‐Feng Ba, Yu‐Bin Wang
Journal of Clinical Nursing.2014; 23(9-10): 1257. CrossRef - The Effect of Private Health Insurance on Health Care Utilization: Evidence from Korea Health Panel (2008~2010)
Chang-Hoon You, Sung-Wook Kang, Ji-Heon Choi, Eun-Hwan Oh, Young-Dae Kwon
The Korean Journal of Health Service Management.2014; 8(2): 101. CrossRef - An Association between Private Health Insurance and Use of Endoscopy, An Association between Private Health Insurance and Use of Endoscopy,
Chang-Hoon You, Young-Dae Kwon, Ji-Heon Choi, Sung-Wook Kang
The Korean Journal of Health Service Management.2014; 8(4): 25. CrossRef - The Influence of Private Health Insurance on Admission among Some Patients with Cervical or Lumbar Sprain
Dong-Ryul Jang, Myung-Geun Kang
Journal of agricultural medicine and community health.2012; 37(2): 84. CrossRef - Private health insurance in South Korea: An international comparison
Jaeun Shin
Health Policy.2012; 108(1): 76. CrossRef - Sociodemographic gradients in breast and cervical cancer screening in Korea: the Korean National Cancer Screening Survey (KNCSS) 2005-2009
Mi Jin Park, Eun-Cheol Park, Kui Son Choi, Jae Kwan Jun, Hoo-Yeon Lee
BMC Cancer.2011;[Epub] CrossRef - Comparison of hospital charge prediction models for gastric cancer patients: neural network vs. decision tree models
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- Antihypertensive Drug Medication Adherence of People with Disabilities and its Affecting Factors in Korea.
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Jong Hyock Park, Youngsoo Shin, Sang Yi Lee, Jae Hyun Park
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J Prev Med Public Health. 2007;40(3):249-258.
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DOI: https://doi.org/10.3961/jpmph.2007.40.3.249
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5,264
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- OBJECTIVES
The aims of this study were to estimate the antihypertensive medication adherence in people with a disability and a history of taking antihypertensive medication, and to identify the factors affecting medication adherence. METHODS: The National Health Insurance claims data were linked with the National Disability Registry. People with a disability, who received a prescription of antihypertensives, were identified from a total of 85,098 cases. Cumulative medication adherence (CMA) was used as an indicator of medication adherence. A CMA > 80% was defined as appropriate medication adherence. Multiple logistic regression analysis was used to identify the factors affecting medication adherence. RESULTS: The average CMA in a total of 85,098 patients was 79.5%. The appropriate adherence (CMA > or =80%) rate was 54.5% and 20.5% of patients had a CMA < 50%. Multiple logistic regression analysis revealed that the probability of appropriate adherence decreased with decreasing number of prescription days per visit, increasing number of providers, the patients' residential area moving from urban to rural areas, and when patients have an internal organ disability, auditory impairment, mobility impairment. CONCLUSIONS: The adherence to antihypertensive medication in people with a disability is influenced by various socio-economic, clinical and regional factors. In particular, the disabled who have locomotive and communication disabilities and internal organ impairments have a higher probability of under-adherence to antihypertensive medication adherence in Korea.
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Citations
Citations to this article as recorded by
- The Determinants of Purchasing Private Health Insurance in Korean Cancer Patients.
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Jin Hwa Lim, Sung Gyeong Kim, Eun Mi Lee, Sin Young Bae, Jae Hyun Park, Kui Son Choi, Myung Il Hahm, Eun Cheol Park
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J Prev Med Public Health. 2007;40(2):150-154.
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DOI: https://doi.org/10.3961/jpmph.2007.40.2.150
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5,547
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59
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Abstract
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- OBJECTIVES
The aim of this study is to identify factors determining the purchase of private health insurance under the mandatory National Health Insurance(NHI) system in Korea. METHODS: The data were collected by the National Cancer Center in Korea. It includes cancer patients who were newly diagnosed with stomach (ICD code, C16), lung(C33-C34), liver (C22), colorectal cancer(C18-C20) or breast(C50) cancer. Data were gathered from the hospital Order Communication System (OCS), medical records, and face-to-face interviews, using a structured questionnaire. Clinical, socio-demographic and private health insurance related factors were also gathered. RESULTS: Overall, 43.9% of patients had purchased one or more private health insurance schemes related to cancer, with an average monthly premium of won 65,311 and an average benefit amount of won 19 million. Females, younger aged, high income earners, national health insurers and metropolitan citizens were more likely to purchase private health insurance than their counterparts. CONCLUSIONS: About half of Korean people have supplementary private health insurance and their benefits are sufficient to cover the out-of-pocket fees required for cancer treatment, but inequality remains in the purchase of private health insurance. Further studies are needed to investigate the impacts of private health insurance on NHI, and the relationship between cancer patients' burden and benefits.
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Summary
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Citations
Citations to this article as recorded by - Out-of-pocket costs in gastrointestinal cancer patients: Lack of a perfectly framed problem contributing to financial toxicity
Roberto Bordonaro, Dario Piazza, Concetta Sergi, Stefano Cordio, Salvatore Tomaselli, Vittorio Gebbia
Critical Reviews in Oncology/Hematology.2021; 167: 103501. CrossRef - Assessing determinants of health care prepayment in China: Economic growth or government willingness? New evidence from the continuous wavelet analysis
Ying Zhang, Rui Wang, Xinyi Yao
The International Journal of Health Planning and Management.2019;[Epub] CrossRef - Evaluating financial performance of insurance companies using rating transition matrices
Abhijit Sharma, Diara Md Jadi, Damian Ward
The Journal of Economic Asymmetries.2018; 18: e00102. CrossRef - Having Private Cancer Insurance in Korea: Gender Differences
Ki-Bong Yoo, Jin-Won Noh, Young Dae Kwon, Kyoung Hee Cho, Young Choi, Jae-Hyun Kim
Asian Pacific Journal of Cancer Prevention.2015; 16(17): 7981. CrossRef - Equity in health care: current situation in South Korea
Hong-Jun Cho
Journal of the Korean Medical Association.2013; 56(3): 184. CrossRef - Factors Associated with the Middle-aged or the Old-aged Koreans' Enrollment in Private Health Insurance
Hyo-Jin Kim, Jae-Hee Lee
The Journal of the Korea Contents Association.2012; 12(12): 683. CrossRef - Comparison of Health Promotion Behavior in Middle aged Rural Residents by Cancer Screening Participation
Myung Suk Lee
Journal of Korean Academy of Community Health Nursing.2010; 21(1): 43. CrossRef - The Effect of Catastrophic Health Expenditure on the Transition to Poverty and the Persistence of Poverty in South Korea
Eun-Cheol Song, Young-Jeon Shin
Journal of Preventive Medicine and Public Health.2010; 43(5): 423. CrossRef - The Effect of Health Care Expenditure on Income Inequality
Eun-Cheol Song, Chang-Yup Kim, Young-Jeon Shin
Korean Journal of Health Policy and Administration.2010; 20(3): 36. CrossRef - Impact of supplementary private health insurance on stomach cancer care in Korea: a cross-sectional study
Dong Wook Shin, Kee-Taig Jung, Sung Kim, Jae-Moon Bae, Young-Woo Kim, Keun Won Ryu, Jun Ho Lee, Jae-Hyung Noh, Tae-Sung Sohn, Young Ho Yun
BMC Health Services Research.2009;[Epub] CrossRef - Comparison of Cancer Survival by Age Group for 1997 and for 2002: Application of Period Analysis using the National Cancer Incidence Database
Seon-Hee Yim, Kyu-Won Jung, Young-Joo Won, Hyun-Joo Kong, Hai-Rim Shin
Journal of Preventive Medicine and Public Health.2008; 41(1): 17. CrossRef - Strengthening Causal Inference in Studies using Non-experimental Data: An Application of Propensity Score and Instrumental Variable Methods
Myoung-Hee Kim, Young Kyung Do
Journal of Preventive Medicine and Public Health.2007; 40(6): 495. CrossRef - Effects of Private Health Insurance on Health Care Utilization and Expenditures in Korean Cancer Patients: Focused on 5 Major Cancers in One Cancer Center
Jin Hwa Lim, Kui Son Choi, Sung Gyeong Kim, Eun-Cheol Park, Jae Hyun Park
Journal of Preventive Medicine and Public Health.2007; 40(4): 329. CrossRef
- Continuity of Care of Patient with Diabetes and Its Affecting Factors in Korea.
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Chai Hyun Yoon, Sin Jae Lee, Sooyoung Choo, Ok Ryun Moon, Jae Hyun Park
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J Prev Med Public Health. 2007;40(1):51-58.
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DOI: https://doi.org/10.3961/jpmph.2007.40.1.51
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- OBJECTIVES
The objectives of this study were to estimate the continuity of care for all Koreans with diabetes and to identify factors affecting the continuity of care. METHODS: We obtained National Health Insurance claims data for patients with diabetes who visited health-care providers during the year 2004. A total of 1,498,327 patients were included as study subjects. Most Frequent Provider Continuity (MFPC) and Modified, Modified Continuity Index (MMCI) were used as indexes of continuity of care. A multiple linear regression analysis was used to identify factors affecting continuity of care. RESULTS: The average continuity of care in the entire population of 1,498,327 patients was 0.89+/-0.17 as calculated by MFPC and 0.92+/-0.16 by MMCI. In a multiple linear regression analysis, both MFPC and MMCI were lower for females than males, disabled than non-disabled, Medicaid beneficiaries than health insurance beneficiaries, patients with low monthly insurance contributions, patients in rural residential areas, and patients whose most frequently visited provider is the hospital. CONCLUSIONS: The continuity of care for patients with diabetes is high in Korea. However, women, the disabled and people of low socio-economic status have relatively low continuity of care. Therefore, our first priority is to promote a diabetes management program for these patients.
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Citations
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- Estimating the Burden of Psychiatric Disorder in Korea.
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Jae Hyun Park, Seok Jun Yoon, Hee Young Lee, Hee Sook Cho, Jin Yong Lee, Sang Jun Eun, Jong Hyock Park, Yoon Kim, Yong Ik Kim, Young Soo Shin
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J Prev Med Public Health. 2006;39(1):39-45.
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Abstract
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- OBJECTIVES
This study estimated the burden of disease especially caused by psychiatric disorders in Korea by using DALY, a composite indicator that was recently developed by the Global Burden of Disease study group. METHODS: First, 11 of the major psychiatric disorders in Korea were selected based on the ICD-10. Second, the burden of disease due to premature death was estimated by using YLLs (years of life lost due to premature death). Third, for the calculation of the YLD (years lived with disability), the following parameters were estimated in the formula: the incidence rate, the prevalence rate and the disability weight of each psychiatric disorder. Last, we estimated the DALY of the psychiatric disorders by adding the YLLs and YLDs. RESULTS: The burden of psychiatric disorder per 100,000 people was attributed mainly to unipolar major depression (1,278 person-years), schizophrenia (638 person-years) and alcohol use disorder (287 person-years). For males, schizophrenia (596 person-years) and alcohol use disorder (491 person-years) caused the highest burden. For females, unipolar major depression (1,749 person-years) and schizophrenia (680 person-years) cause the highest burden. As analyzed by gender and age group, alcohol use disorder causes a higher burden than schizophrenia in men aged 40 years and older. For females, unipolar major depression causes the highest burden in all age groups. CONCLUSIONS: We found that each of the psychiatric disorders that cause the highest burden is different according to gender and age group. This study's results can provide a rational basis to plan a national health policy regarding the burden of disease caused by psychiatric disorders.
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