1
|
Macdonald M, Weeks LE, Langman E, Roach S, MacNeil MX, Caruso J, Tricco AC, Pham B, Straus SE, Mishra S, Isaranuwatchai W, Cormack GV, Grossman MR, Yakubovich AR, Mojbafan A, Ignaczak M, Leid C, Watt J, Stevens S, Khan T, Curran JA, Moody E, Rodrigues R. Recent innovations in long-term care coverage and financing: a rapid scoping review. BMJ Open 2024; 14:e077309. [PMID: 38388500 PMCID: PMC10884182 DOI: 10.1136/bmjopen-2023-077309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/29/2024] [Indexed: 02/24/2024] Open
Abstract
OBJECTIVES To identify, chart and analyse the literature on recent initiatives to improve long-term care (LTC) coverage, financial protection and financial sustainability for persons aged 60 and older. DESIGN Rapid scoping review. DATA SOURCES Four databases and four sources of grey literature were searched for reports published between 2017 and 2022. After using a supervised machine learning tool to rank titles and abstracts, two reviewers independently screened sources against inclusion criteria. ELIGIBILITY CRITERIA Studies published from 2017-2022 in any language that captured recent LTC initiatives for people aged 60 and older, involved evaluation and directly addressed financing were included. DATA EXTRACTION AND ANALYSIS Data were extracted using a form designed to answer the review questions and analysed using descriptive qualitative content analysis, with data categorised according to a prespecified framework to capture the outcomes of interest. RESULTS Of 24 reports, 22 were published in peer-reviewed journals, and two were grey literature sources. Study designs included quasi-experimental study, policy analysis or comparison, qualitative description, comparative case study, cross-sectional study, systematic literature review, economic evaluation and survey. Studies addressed coverage based on the level of disability, income, rural/urban residence, employment and citizenship. Studies also addressed financial protection, including out-of-pocket (OOP) expenditures, copayments and risk of poverty related to costs of care. The reports addressed challenges to financial sustainability such as lack of service coordination and system integration, insufficient economic development and inadequate funding models. CONCLUSIONS Initiatives where LTC insurance is mandatory and accompanied by commensurate funding are situated to facilitate ageing in place. Efforts to expand population coverage are common across the initiatives, with the potential for wider economic benefits. Initiatives that enable older people to access the services needed while avoiding OOP-induced poverty contribute to improved health and well-being. Preserving health in older people longer may alleviate downstream costs and contribute to financial sustainability.
Collapse
Affiliation(s)
- Marilyn Macdonald
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Lori E Weeks
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Erin Langman
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Sheri Roach
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Morgan X MacNeil
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Julie Caruso
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Andrea C Tricco
- St. Michael's Hospital Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, Epidemiology Division, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Ba' Pham
- University of Toronto, Toronto, Ontario, Canada
| | - Sharon E Straus
- St. Michael's Hospital Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Sujata Mishra
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Wanrudee Isaranuwatchai
- Health Intervention and Technology Assessment Program, Mueang Nonthaburi, Nonthaburi, Thailand
- Unity Health Toronto, Toronto, Ontario, Canada
| | - Gordon V Cormack
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Maura R Grossman
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
- Osgoode Hall Law School, York University, Toronto, Ontario, Canada
| | - Alexa R Yakubovich
- St. Michael's Hospital Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
- Affiliate Scientist, Nova Scotia Health, Halifax, Nova Scotia, Canada
| | - Arezoo Mojbafan
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Melissa Ignaczak
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Caron Leid
- SPOR Evidence Alliance, Toronto, Ontario, Canada
| | | | - Susan Stevens
- Senior Director Continuing Care, Nova Scotia Health, Halifax, Nova Scotia, Canada
| | - Tayaba Khan
- SPOR Evidence Alliance, Toronto, Ontario, Canada
| | - Janet A Curran
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Elaine Moody
- School of Nursing, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Ricardo Rodrigues
- ISEG Lisbon School of Economics and Management, Universidade de Lisboa, Lisboa, Portugal
| |
Collapse
|
2
|
Liu H, Feng C, Yu B, Ma H, Li Y, Wu J, Dong B, Wang Z, Jia P, Dou Q, Yang S. Influences of long-term care insurance on pulmonary and urinary tract infections among older people with disability. J Am Geriatr Soc 2023; 71:3802-3813. [PMID: 37715571 DOI: 10.1111/jgs.18554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 07/05/2023] [Accepted: 07/26/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Pulmonary infection (PI) and urinary tract infection (UTI) have been the most common cause of hospitalization and most frequent infection respectively in older people with disability (OPWD). Long-term care insurance (LTCI) policy, intending to provide services to reduce the disease burden of OPWD, it remains unclear whether LTCI could reduce PI-, and UTI-related hospitalizations. This quasi-experimental study aimed to assess the influences of LTCI on all-cause, especially PI- and UTI-related hospitalizations among OPWD and the variation across sociodemographic characteristics. METHODS 32,120 participants in the Chengdu Long-term Care Insurance cohort were considered the intervention group, and 2,704 not covered by the LTCI were in the control group. A total of 3,134,160 hospitalization records were collected between January 2014 and June 2021. A doubly robust difference-in-differences (DID) method was used to estimate the average treatment effect on the treated (ATT), indicating the average effect of LTCI on intervention group. RESULTS The average monthly all-cause, PI-, and UTI-related hospitalization rates were 16.3%, 4.0% and 0.5% in the intervention group, respectively, and were 19.3%, 3.9% and 0.5% in the control group, respectively. Under LTCI, all-cause (ATT [95% CI]: 7.15% [6.41%, 7.88%]), PI- (3.25% [2.76%, 3.74%]), and UTI-related hospitalizations (0.46% [0.28%, 0.64%]) were decreased. The influences of LTCI became significant after 5 months since the LTCI implementation and remained stable over time. The impact was more pronounced among those with longer coverage. The overall reduction was stronger in those who were not married, lived alone, and resided in institutions. CONCLUSIONS LTCI may reduce the occurrence of all-cause, PI-, and UTI-related hospitalizations in OPWD, with stronger influences observed over an extended period of implementation. The implementation of LTCI can play a role in reducing the burden of infectious diseases in OPWD and the care burden of families and society.
Collapse
Affiliation(s)
- Hongyun Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chuanteng Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China
| | - Bin Yu
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Institute for Disaster Management and Reconstruction, Sichuan University-The Hong Kong Polytechnic University, Chengdu, China
| | - Hua Ma
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yuchen Li
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Department of Geography, The Ohio State University, Columbus, Ohio, USA
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
| | - Jinhui Wu
- National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Birong Dong
- National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Zihang Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peng Jia
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
- School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
- Hubei Luojia Laboratory, Wuhan, China
- School of Public Health, Wuhan University, Wuhan, China
| | - Qingyu Dou
- National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Shujuan Yang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- International Institute of Spatial Lifecourse Health (ISLE), Wuhan University, Wuhan, China
- Department of Health Management Center, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, China
- Respiratory Department, Chengdu Seventh People's Hospital, Chengdu, China
| |
Collapse
|
3
|
Lobanov-Rostovsky S, He Q, Chen Y, Liu Y, Wu Y, Liu Y, Venkatraman T, French E, Curry N, Hemmings N, Bandosz P, Chan WK, Liao J, Brunner EJ. Growing old in China in socioeconomic and epidemiological context: systematic review of social care policy for older people. BMC Public Health 2023; 23:1272. [PMID: 37391766 PMCID: PMC10311713 DOI: 10.1186/s12889-023-15583-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 04/01/2023] [Indexed: 07/02/2023] Open
Abstract
BACKGROUND From 2020 to 2050, China's population aged ≥65 years old is estimated to more than double from 172 million (12·0%) to 366 million (26·0%). Some 10 million have Alzheimer's disease and related dementias, to approach 40 million by 2050. Critically, the population is ageing fast while China is still a middle-income country. METHODS Using official and population-level statistics, we summarise China's demographic and epidemiological trends relevant to ageing and health from 1970 to present, before examining key determinants of China's improving population health in a socioecological framework. We then explore how China is responding to the care needs of its older population by carrying out a systematic review to answer the question: 'what are the key policy challenges to China achieving an equitable nationwide long-term care system for older people?'. Databases were screened for records published between 1st June 2020 and 1st June 2022 in Mandarin Chinese or English, reflecting our focus on evidence published since introduction of China's second long-term care insurance pilot phase in 2020. RESULTS Rapid economic development and improved access to education has led to widescale internal migration. Changing fertility policies and household structures also pose considerable challenges to the traditional family care model. To deal with increasing need, China has piloted 49 alternative long-term care insurance systems. Our findings from 42 studies (n = 16 in Mandarin) highlight significant challenges in the provision of quality and quantity of care which suits the preference of users, varying eligibility for long-term care insurance and an inequitable distribution of cost burden. Key recommendations include increasing salaries to attract and retain staff, introduction of mandatory financial contributions from employees and a unified standard of disability with regular assessment. Strengthening support for family caregivers and improving smart old age care capacity can also support preferences to age at home. CONCLUSIONS China has yet to establish a sustainable funding mechanism, standardised eligibility criteria and a high-quality service delivery system. Its long-term care insurance pilot studies provide useful lessons for other middle-income countries facing similar challenges in terms of meeting the long-term care needs of their rapidly growing older populations.
Collapse
Affiliation(s)
| | - Qianyu He
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510275 P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health, Institute of State Governance, Sun Yat-sen University, Guangzhou, 510275 P.R. China
| | - Yuntao Chen
- Department of Epidemiology & Public Health, University College London, London, WC1E 7HB UK
| | - Yuyang Liu
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510275 P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health, Institute of State Governance, Sun Yat-sen University, Guangzhou, 510275 P.R. China
- Shenzhen Health Development Research and Data Management Center, Shenzhen, China
| | - Yanjuan Wu
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510275 P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health, Institute of State Governance, Sun Yat-sen University, Guangzhou, 510275 P.R. China
| | - Yixuan Liu
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510275 P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health, Institute of State Governance, Sun Yat-sen University, Guangzhou, 510275 P.R. China
| | - Tishya Venkatraman
- Department of Epidemiology & Public Health, University College London, London, WC1E 7HB UK
| | - Eric French
- Faculty of Economics, University of Cambridge, CB3 9DD Cambridge, UK
- Institute for Fiscal Studies, University of Cambridge, London, WC1E 7AE UK
| | - Natasha Curry
- Policy Department, Nuffield Trust, W1G 7LP London, UK
| | - Nina Hemmings
- Policy Department, Nuffield Trust, W1G 7LP London, UK
| | - Piotr Bandosz
- Department of Prevention and Medical Education, Medical University of Gdansk, Gdansk, 80-210 Poland
| | - Wing Kit Chan
- School of Government, Sun Yat-sen University, Guangzhou, 510275 P.R. China
| | - Jing Liao
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510275 P.R. China
- Sun Yat-sen Global Health Institute, School of Public Health, Institute of State Governance, Sun Yat-sen University, Guangzhou, 510275 P.R. China
| | - Eric John Brunner
- Department of Epidemiology & Public Health, University College London, London, WC1E 7HB UK
| |
Collapse
|
4
|
Hu L, Glavin YFW. Integrating Health and Care for Older People in China: What Has Been Accomplished? What is Next? Int J Integr Care 2023; 23:16. [PMID: 36967837 PMCID: PMC10038113 DOI: 10.5334/ijic.7598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 03/08/2023] [Indexed: 03/25/2023] Open
Affiliation(s)
- Linlin Hu
- School of Health Policy and Management, Peking Union Medical College, Beijing 100730, China
| | - Ye-Fan Wang Glavin
- School of Medicine, Case Western Reserve University, Cleveland, Ohio 44106, USA
- IJIC Editorial Board, US
| |
Collapse
|
5
|
Deng X, Liao J, Peng R, Chen J. The Impact of Long-Term Care Insurance on Medical Utilization and Expenditures: Evidence from Jingmen, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12275. [PMID: 36231574 PMCID: PMC9564761 DOI: 10.3390/ijerph191912275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/27/2022] [Accepted: 09/23/2022] [Indexed: 06/16/2023]
Abstract
The purpose of this study was to evaluate the impact of long-term care insurance (LTCI) on medical utilization and expenditures in Jingmen, a pilot city of China. The propensity score matching-difference in difference (PSM-DID) approach was employed to examine the expenses and frequency of inpatient and outpatient services before and after the implementation of the LTCI based on the 2015-2018 panel data from the China Health and Retirement Longitudinal Study (CHARLS). The results showed that the annual expenditure and frequency of the inpatient services of Jingmen residents were reduced by 1923 Yuan (287.0 USD) and 0.24 times, respectively. The impact of the LTCI varied between urban and rural areas. The annual expenditure and frequency of inpatient services in rural areas were reduced by 1600 Yuan (238.8 USD) and 0.30 times, which were lower than those (3400 Yuan (507.5 USD) and 0.20 times) in urban areas. The monthly outpatient expenses and frequency in rural areas were reduced by 300 Yuan (44.8 USD) and 0.14 times, but increased by 555 Yuan (82.8 USD) and 0.07 times in urban area. The findings indicated that the implementation of the LTCI can reduce the medical utilization and expenses, and it had a greater effect in rural areas than in urban areas. It is suggested to promote the LTCI nationwide, and more policy preference should be given to the development of the LTCI in rural areas.
Collapse
|
6
|
Peng R, Zhang W, Deng X, Wu B. Public trust in the long-term care insurance pilot program in China: An analysis of mediating effects. Front Public Health 2022; 10:928745. [PMID: 35928487 PMCID: PMC9343673 DOI: 10.3389/fpubh.2022.928745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 06/28/2022] [Indexed: 11/27/2022] Open
Abstract
Objective This study aimed to evaluate the implementation of the long-term care insurance (LTCI) pilot program in China through an examination of public trust in the system and its associated factors of insurance awareness and satisfaction with the LTCI policy. Method An online survey was used to collect data from 786 participants in the city of Guangzhou, one of the pilot sites of the LTCI. Ordinal logistic regression models were used to investigate the related factors of public trust in the LTCI. Structural equation modeling (SEM) was conducted to test the mediating effect of satisfaction with LTCI policy on the relationship between insurance awareness and public trust. Results More than 60% of participants gave a positive evaluation of the LTCI pilot program. More than 70% of the participants recognized the important role of the program. Both an understanding of insurance and satisfaction with LTCI policies were associated with public trust. The proportion of the indirect effect with regard to the total effect of satisfaction on trust was 70.133%, greater than the direct effect of 29.867%. Conclusions Our findings supported the hypothesis that satisfaction with the LTCI policy plays a mediating role between insurance awareness and public trust. Optimalization of the LTCI policy was recommended to improve public trust in the LTCI program.
Collapse
Affiliation(s)
- Rong Peng
- Institute of New Development, Guangdong University of Finance and Economics, Guangzhou, China
- *Correspondence: Rong Peng
| | - Wansha Zhang
- Institute of New Development, Guangdong University of Finance and Economics, Guangzhou, China
| | - Xueqin Deng
- Institute of New Development, Guangdong University of Finance and Economics, Guangzhou, China
| | - Bei Wu
- Rory Meyers College of Nursing, New York University, New York City, NY, United States
- Bei Wu
| |
Collapse
|