Skip to main content
Top
Published in: BMC Health Services Research 1/2023

Open Access 01-12-2023 | Care | Research

How do inpatients’ costs, length of stay, and quality of care vary across age groups after a new case-based payment reform in China? An interrupted time series analysis

Authors: Ya-jing Chen, Xin-yu Zhang, Xue Tang, Jia-qi Yan, Meng-cen Qian, Xiao-hua Ying

Published in: BMC Health Services Research | Issue 1/2023

Login to get access

Abstract

Context

A patient classification-based payment system called diagnosis-intervention packet (DIP) was piloted in a large city in southeast China in 2018.

Objective

This study evaluates the impact of DIP payment reform on total costs, out-of-pocket (OOP) payments, length of stay (LOS), and quality of care in hospitalised patients of different age.

Methods

An interrupted time series model was employed to examine the monthly trend changes of outcome variables before and after the DIP reform in adult patients, who were stratified into a younger (18–64 years) and an older group (≥ 65 years), further stratified into young-old (65–79 years) and oldest-old (≥ 80 years) groups.

Results

The adjusted monthly trend of costs per case significantly increased in the older adults (0.5%, P = 0.002) and oldest-old group (0.6%, P = 0.015). The adjusted monthly trend of average LOS decreased in the younger and young-old groups (monthly slope change: -0.058 days, P = 0.035; -0.025 days, P = 0.024, respectively), and increased in the oldest-old group (monthly slope change: 0.107 days, P = 0.030) significantly. The changes of adjusted monthly trends of in-hospital mortality rate were not significant in all age groups.

Conclusion

Implementation of the DIP payment reform associated with increase in total costs per case in the older and oldest-old groups, and reduction in LOS in the younger and young-old groups without deteriorating quality of care.
Literature
2.
go back to reference Getzen TE. Population Aging and the Growth of Health Expenditures. J Gerontol. 1992;347(3):S98-104.CrossRef Getzen TE. Population Aging and the Growth of Health Expenditures. J Gerontol. 1992;347(3):S98-104.CrossRef
3.
go back to reference Population Division of Department of Economic and Social Affairs of United Nations Secretariat. World Population Outlook: 2008 Revision. http://esaunorg/unpp. Population Division of Department of Economic and Social Affairs of United Nations Secretariat. World Population Outlook: 2008 Revision. http://​esaunorg/​unpp.​
4.
go back to reference Wang C, Li F, Wang L, Zhou W, Jin C. The impact of population aging on medical expenses: A big data study based on the life table. Biosci Trends. 2017;11(6):619.CrossRefPubMed Wang C, Li F, Wang L, Zhou W, Jin C. The impact of population aging on medical expenses: A big data study based on the life table. Biosci Trends. 2017;11(6):619.CrossRefPubMed
5.
go back to reference Hyjm A, Xl B, Qlxcd E, Shu C, Wu MC. The association between frailty and healthcare expenditure among Chinese older adults. J Am Med Dir Assoc. 2020;21(6):780–5.CrossRef Hyjm A, Xl B, Qlxcd E, Shu C, Wu MC. The association between frailty and healthcare expenditure among Chinese older adults. J Am Med Dir Assoc. 2020;21(6):780–5.CrossRef
6.
go back to reference Qian M, Zhang X, Chen Y, Xu S, Ying X. The pilot of a new patient classification-based payment system in China: The impact on costs, length of stay and quality. Social Science Medicine. 2021;289:114415.CrossRefPubMed Qian M, Zhang X, Chen Y, Xu S, Ying X. The pilot of a new patient classification-based payment system in China: The impact on costs, length of stay and quality. Social Science Medicine. 2021;289:114415.CrossRefPubMed
7.
go back to reference Yi L, Hq F, Ling L, Wy C. Hospital response to a case-based payment scheme under regional global budget: The case of Guangzhou in China. Soc Sci Med. 2021;292:114601. Yi L, Hq F, Ling L, Wy C. Hospital response to a case-based payment scheme under regional global budget: The case of Guangzhou in China. Soc Sci Med. 2021;292:114601.
8.
go back to reference Yip WC, Meng Q, Chen W, Sun X. Realignment of incentives for health-care providers in China. Lancet. 2010;375:1120–30.CrossRefPubMed Yip WC, Meng Q, Chen W, Sun X. Realignment of incentives for health-care providers in China. Lancet. 2010;375:1120–30.CrossRefPubMed
9.
go back to reference Hu W, Yeh C, Shiao A, Tu T. Effects of diagnosis-related group payment on health-care provider behaviors: a consecutive three-period study. J Chin Med Assoc. 2015;78(11):678–85.CrossRefPubMed Hu W, Yeh C, Shiao A, Tu T. Effects of diagnosis-related group payment on health-care provider behaviors: a consecutive three-period study. J Chin Med Assoc. 2015;78(11):678–85.CrossRefPubMed
10.
go back to reference Jian W, Lu M, Liu G, Chan KY, Poon AN. Beijing’s diagnosis-related group payment reform pilot: Impact on quality of acute myocardial infarction care. Soc Sci Med. 2019;243:112590.CrossRefPubMed Jian W, Lu M, Liu G, Chan KY, Poon AN. Beijing’s diagnosis-related group payment reform pilot: Impact on quality of acute myocardial infarction care. Soc Sci Med. 2019;243:112590.CrossRefPubMed
11.
go back to reference Jian W, Lu M, Chan KY, et al. Payment reform pilot in Beijing hospitals reduced expenditures and out-of-pocket payments per admission. Health Aff. 2015;34(10):1745–52.CrossRef Jian W, Lu M, Chan KY, et al. Payment reform pilot in Beijing hospitals reduced expenditures and out-of-pocket payments per admission. Health Aff. 2015;34(10):1745–52.CrossRef
12.
go back to reference Jencks SF, Kay T. Do frail, disabled, poor, and very old Medicare beneficiaries have higher hospital charges? JAMA. 1987;257(2):198.CrossRefPubMed Jencks SF, Kay T. Do frail, disabled, poor, and very old Medicare beneficiaries have higher hospital charges? JAMA. 1987;257(2):198.CrossRefPubMed
13.
go back to reference Muñoz E, Rosner F, Chalfin D, Goldstein J, Margolis IB, Wise L. Financial risk and hospital cost for elderly patients. Age- and non-age-stratified medical diagnosis related groups. Arch of Intern Med. 1988;148(4):909–12.CrossRef Muñoz E, Rosner F, Chalfin D, Goldstein J, Margolis IB, Wise L. Financial risk and hospital cost for elderly patients. Age- and non-age-stratified medical diagnosis related groups. Arch of Intern Med. 1988;148(4):909–12.CrossRef
14.
go back to reference Castiel D, Bréchat P. Social deprivation and public hospital: for a social DRG. Presse Medicale. 2009;38(1):142.CrossRefPubMed Castiel D, Bréchat P. Social deprivation and public hospital: for a social DRG. Presse Medicale. 2009;38(1):142.CrossRefPubMed
15.
go back to reference Desharnais S, Chesney J, Fleming S. Should DRG assignment be based on age? J Med Care. 1988;26(2):124–31.CrossRef Desharnais S, Chesney J, Fleming S. Should DRG assignment be based on age? J Med Care. 1988;26(2):124–31.CrossRef
16.
go back to reference Leu A, Wepf H, Elger B, Wangmo T. Experts’ perspectives on SwissDRG: second class care for vulnerable patient groups? Health Policy. 2018;122(6):577–82.CrossRefPubMed Leu A, Wepf H, Elger B, Wangmo T. Experts’ perspectives on SwissDRG: second class care for vulnerable patient groups? Health Policy. 2018;122(6):577–82.CrossRefPubMed
17.
go back to reference Goldberg SC, Estes CL. Medicare DRGs and post-hospital care for the elderly: does out of the hospital mean out of luck? J Appl Gerontol. 1990;9(1):20–35.CrossRefPubMed Goldberg SC, Estes CL. Medicare DRGs and post-hospital care for the elderly: does out of the hospital mean out of luck? J Appl Gerontol. 1990;9(1):20–35.CrossRefPubMed
18.
go back to reference Lim SC, Doshi V, Castasus B, Lim JKH, Mamun K. Factors causing delay in discharge of elderly patients in an acute care hospital. Ann Acad Med Singap. 2006;35(1):27–32.CrossRefPubMed Lim SC, Doshi V, Castasus B, Lim JKH, Mamun K. Factors causing delay in discharge of elderly patients in an acute care hospital. Ann Acad Med Singap. 2006;35(1):27–32.CrossRefPubMed
19.
go back to reference Guangzhou Municipal Statistics Bureau, Guangzhou Survey Office of National Bureau of Statistics. Guangzhou Statistical Yearbook (2019): Beijing: China Statistics Press 2019. Guangzhou Municipal Statistics Bureau, Guangzhou Survey Office of National Bureau of Statistics. Guangzhou Statistical Yearbook (2019): Beijing: China Statistics Press 2019.
20.
go back to reference Zhao Y, Xu X, Dupre ME, Xie Q, Gu D. Individual-level factors attributable to urban-rural disparity in mortality among older adults in China. BMC Public Health. 2020;20(1):1472.CrossRefPubMedPubMedCentral Zhao Y, Xu X, Dupre ME, Xie Q, Gu D. Individual-level factors attributable to urban-rural disparity in mortality among older adults in China. BMC Public Health. 2020;20(1):1472.CrossRefPubMedPubMedCentral
21.
go back to reference Zeng Y, Feng Q, Hesketh T, et al. Survival, disabilities in activities of daily living, and physical and cognitive functioning among the oldest-old in China: a cohort study. Lancet. 2017;389(10079):1619–29.CrossRefPubMedPubMedCentral Zeng Y, Feng Q, Hesketh T, et al. Survival, disabilities in activities of daily living, and physical and cognitive functioning among the oldest-old in China: a cohort study. Lancet. 2017;389(10079):1619–29.CrossRefPubMedPubMedCentral
22.
go back to reference National Bureau of Statistics of China. China Statistical Yearbook (2022). Beijing: China Statistics Press; 2022. National Bureau of Statistics of China. China Statistical Yearbook (2022). Beijing: China Statistics Press; 2022.
23.
go back to reference Charlson ME, Pompei P, Ales KL, Mackenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.CrossRefPubMed Charlson ME, Pompei P, Ales KL, Mackenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.CrossRefPubMed
24.
go back to reference Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004;57(12):1288–94.CrossRefPubMed Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004;57(12):1288–94.CrossRefPubMed
25.
go back to reference Linden A. Conducting interrupted time-series analysis for single- and multiple-group comparisons. Stata Journal. 2015;15(2):480–500.CrossRef Linden A. Conducting interrupted time-series analysis for single- and multiple-group comparisons. Stata Journal. 2015;15(2):480–500.CrossRef
26.
go back to reference Kutz A, Gut L, Ebrahimi F, Wagner U, Schuetz P, Mueller B. Association of the Swiss Diagnosis-Related Group Reimbursement System With Length of Stay, Mortality, and Readmission Rates in Hospitalized Adult Patients. JAMA Netw Open. 2019;2(2):e188332.CrossRefPubMedPubMedCentral Kutz A, Gut L, Ebrahimi F, Wagner U, Schuetz P, Mueller B. Association of the Swiss Diagnosis-Related Group Reimbursement System With Length of Stay, Mortality, and Readmission Rates in Hospitalized Adult Patients. JAMA Netw Open. 2019;2(2):e188332.CrossRefPubMedPubMedCentral
27.
go back to reference Muoz E, Rosner F, Chalfin D, Goldstein J, Wise L. Age, Resource Consumption, and Outcome for Medical Patients at an Academic Medical Center. Arch Intern Med. 1989;149(9):1946.CrossRef Muoz E, Rosner F, Chalfin D, Goldstein J, Wise L. Age, Resource Consumption, and Outcome for Medical Patients at an Academic Medical Center. Arch Intern Med. 1989;149(9):1946.CrossRef
28.
go back to reference Rosenthal GE, Landefeld CS. Do older Medicare patients cost hospitals more? Evidence from an academic medical center. Arch Intern Med. 1993;153(1):89–96.CrossRefPubMed Rosenthal GE, Landefeld CS. Do older Medicare patients cost hospitals more? Evidence from an academic medical center. Arch Intern Med. 1993;153(1):89–96.CrossRefPubMed
29.
go back to reference Horn SD, Bulkley G, Sharkey PD, Chambers AF, Horn RA, Schramm C. Interhospital differences in severity of illness. Problems for prospective payment based on diagnosis-related groups (DRGs). N Engl J Med. 1985;313(1):20–4.CrossRefPubMed Horn SD, Bulkley G, Sharkey PD, Chambers AF, Horn RA, Schramm C. Interhospital differences in severity of illness. Problems for prospective payment based on diagnosis-related groups (DRGs). N Engl J Med. 1985;313(1):20–4.CrossRefPubMed
30.
go back to reference Fulop M. The Frail, the Old, and Diagnosis Related Groups. J Am Med Assoc. 1987;257(15):2030.CrossRef Fulop M. The Frail, the Old, and Diagnosis Related Groups. J Am Med Assoc. 1987;257(15):2030.CrossRef
31.
go back to reference Horn SD, Horn RA, Sharkey PD. The Severity of Illness Index as a severity adjustment to diagnosis-related groups. Health Care Financ Rev. 1984;Suppl(Suppl):33–45.PubMed Horn SD, Horn RA, Sharkey PD. The Severity of Illness Index as a severity adjustment to diagnosis-related groups. Health Care Financ Rev. 1984;Suppl(Suppl):33–45.PubMed
32.
go back to reference Odderson IR, McKenna BS. A model for management of patients with stroke during the acute phase. Outcome and economic implications. Stroke. 1993;24(12):1823–7.CrossRefPubMed Odderson IR, McKenna BS. A model for management of patients with stroke during the acute phase. Outcome and economic implications. Stroke. 1993;24(12):1823–7.CrossRefPubMed
33.
go back to reference Fischer C, Lingsma HF, Mheen M, Kringos DS, Steyerberg EW. Is the Readmission Rate a Valid Quality Indicator? A Review of the Evidence. PLoS ONE. 2014;9(11):e112282.CrossRefPubMedPubMedCentral Fischer C, Lingsma HF, Mheen M, Kringos DS, Steyerberg EW. Is the Readmission Rate a Valid Quality Indicator? A Review of the Evidence. PLoS ONE. 2014;9(11):e112282.CrossRefPubMedPubMedCentral
34.
go back to reference Ying Y. DIP & DRG: similarities and differences. China Health Insurance China Health Insurance. 2021;1:39–42. Ying Y. DIP & DRG: similarities and differences. China Health Insurance China Health Insurance. 2021;1:39–42.
Metadata
Title
How do inpatients’ costs, length of stay, and quality of care vary across age groups after a new case-based payment reform in China? An interrupted time series analysis
Authors
Ya-jing Chen
Xin-yu Zhang
Xue Tang
Jia-qi Yan
Meng-cen Qian
Xiao-hua Ying
Publication date
01-12-2023
Publisher
BioMed Central
Keyword
Care
Published in
BMC Health Services Research / Issue 1/2023
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-023-09109-z

Other articles of this Issue 1/2023

BMC Health Services Research 1/2023 Go to the issue