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Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China
BACKGROUND: Across a range of healthcare settings, 5% of the population accounts for half of healthcare spending: these patients are identified as a ‘high-cost population’. Characterising high-cost users is essential for predicting potential high-cost patients and the development of appropriate inte...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695451/ https://www.ncbi.nlm.nih.gov/pubmed/29127225 http://dx.doi.org/10.1136/bmjopen-2017-017185 |
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author | Miao, Yudong Qian, Dongfu Sandeep, Sandeep Ye, Ting Niu, Yadong Hu, Dan Zhang, Liang |
author_facet | Miao, Yudong Qian, Dongfu Sandeep, Sandeep Ye, Ting Niu, Yadong Hu, Dan Zhang, Liang |
author_sort | Miao, Yudong |
collection | PubMed |
description | BACKGROUND: Across a range of healthcare settings, 5% of the population accounts for half of healthcare spending: these patients are identified as a ‘high-cost population’. Characterising high-cost users is essential for predicting potential high-cost patients and the development of appropriate interventions to improve the management and financing of these patients. OBJECTIVE: This cross-sectional study aimed to explore the characteristics of this high-cost population from a family perspective in China and provide suggestions for social health insurance policy development. METHODS: This study used data from the Fifth Health Service Investigation of Jiangsu Province (2013), and 12 600 families were enrolled for analysis. Households whose medical expenditures were among the top 5% were identified to be high-cost families. A t-test, a Χ(2) test, and a binary logistic regression were used. RESULTS: High-cost families (n=631, 5%) accounted for 44.9% of the total medical expenditure of sampled families. High-cost families had 3.2 members and 1.2 chronic disease patients per household, which is significantly more than the 2.9 members and 0.7 people in the remaining families, respectively (p<0.05). Bi-weekly emergency department visits and annual hospitalisations preceding the household investigation of high-cost families were 1.19 and 0.98 per household, which is significantly more than the 0.68 and 0.17 of the remaining families, respectively (p<0.05). A binary logistic regression indicated that the number of family members (OR 1.152), the number of chronic disease patients (OR 1.508), bi-weekly emergency department visits (OR 1.218), and annual hospitalisations (OR 4.577) were associated with high costs. CONCLUSION: The 5% high-cost families in Jiangsu Province accounted for approximately half of medical expenditures. The effectiveness of Chinese Social Health Insurance in lowering high-cost families’ risk of catastrophic health expenditure was modest. Policymakers need to ascertain the priority of lowering the burden of high-cost families’ out-of-pocket expenses through improving the reimbursement proportion and reducing avoidable medical services. |
format | Online Article Text |
id | pubmed-5695451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56954512017-11-24 Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China Miao, Yudong Qian, Dongfu Sandeep, Sandeep Ye, Ting Niu, Yadong Hu, Dan Zhang, Liang BMJ Open Health Economics BACKGROUND: Across a range of healthcare settings, 5% of the population accounts for half of healthcare spending: these patients are identified as a ‘high-cost population’. Characterising high-cost users is essential for predicting potential high-cost patients and the development of appropriate interventions to improve the management and financing of these patients. OBJECTIVE: This cross-sectional study aimed to explore the characteristics of this high-cost population from a family perspective in China and provide suggestions for social health insurance policy development. METHODS: This study used data from the Fifth Health Service Investigation of Jiangsu Province (2013), and 12 600 families were enrolled for analysis. Households whose medical expenditures were among the top 5% were identified to be high-cost families. A t-test, a Χ(2) test, and a binary logistic regression were used. RESULTS: High-cost families (n=631, 5%) accounted for 44.9% of the total medical expenditure of sampled families. High-cost families had 3.2 members and 1.2 chronic disease patients per household, which is significantly more than the 2.9 members and 0.7 people in the remaining families, respectively (p<0.05). Bi-weekly emergency department visits and annual hospitalisations preceding the household investigation of high-cost families were 1.19 and 0.98 per household, which is significantly more than the 0.68 and 0.17 of the remaining families, respectively (p<0.05). A binary logistic regression indicated that the number of family members (OR 1.152), the number of chronic disease patients (OR 1.508), bi-weekly emergency department visits (OR 1.218), and annual hospitalisations (OR 4.577) were associated with high costs. CONCLUSION: The 5% high-cost families in Jiangsu Province accounted for approximately half of medical expenditures. The effectiveness of Chinese Social Health Insurance in lowering high-cost families’ risk of catastrophic health expenditure was modest. Policymakers need to ascertain the priority of lowering the burden of high-cost families’ out-of-pocket expenses through improving the reimbursement proportion and reducing avoidable medical services. BMJ Publishing Group 2017-11-09 /pmc/articles/PMC5695451/ /pubmed/29127225 http://dx.doi.org/10.1136/bmjopen-2017-017185 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Economics Miao, Yudong Qian, Dongfu Sandeep, Sandeep Ye, Ting Niu, Yadong Hu, Dan Zhang, Liang Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China |
title | Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China |
title_full | Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China |
title_fullStr | Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China |
title_full_unstemmed | Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China |
title_short | Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China |
title_sort | exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in jiangsu province, china |
topic | Health Economics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5695451/ https://www.ncbi.nlm.nih.gov/pubmed/29127225 http://dx.doi.org/10.1136/bmjopen-2017-017185 |
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