Evidence map›Paper›PMID 32613808›Full record

ArticleInternational journal of health policy and management2020

Aiming Higher: Advancing Public Social Insurance for Longterm Care to Meet the Global Aging Challenge Comment on "Financing Long-term Care: Lessons From Japan".

Zhanlian Feng, Elena Glinskaya

Abstract readComment
In one paragraph

Article in International journal of health policy and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Developing a Conceptual Framework for an Age-Friendly Health System: A Scoping Review.International journal of health policy and management · 2023
    Article
  5. Social Insurance for Long-term Care.Journal of population ageing · 2022
    Review
  6. Key Issues in Designing Long-term Care Systems: A Response to Recent Commentaries.International journal of health policy and management · 2020
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Zhanlian FengAging, Disability, and Long-Term Care Program, RTI International, Waltham, MA, USA.ORCID 0000-0002-5231-6870
Elena GlinskayaSocial Protection and Jobs, The World Bank, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, aging populations are driving the demand for long-term care (LTC) services for a growing number of older people with disabilities or chronic illnesses. A key challenge for policy-makers in all countries is to find a comprehensive solution to financing LTC services to make them widely accessible, affordable, and equitable for all in need. In this commentary, we make a case for LTC policy-makers and reformers across countries to take a long-term vision toward establishing a public, mandatory social insurance model of LTC financing. We first take a hard look at the LTC financing problems and the limitations of existing financing options. We then argue for a public social insurance approach to LTC financing and offer insights into several top-level insurance design features that are key to successful implementation of a public social insurance model, building on the experiences and lessons learned from Japan and other countries that have already "gotten there." We conclude with additional thoughts on the future of public LTC insurance in a global context, including the prospect of spreading this model to middle-income countries.

Indexed as

Insurance, Long-Term CareLong-Term CareAgedAged, 80 and overAgingHumansJapanSocial SecurityFinancingGlobal AgingLong-term CareSocial InsuranceUniversal Coverage

Identifiers

PMID32613808
PMCPMC7500384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.