Evidence map›Paper›PMID 33995846›Full record

ReviewWorld journal of diabetes2021

Chronic care model in the diabetes pay-for-performance program in Taiwan: Benefits, challenges and future directions.

Tsung-Tai Chen, Brian Oldenburg, Ya-Seng Hsueh

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessing Taiwan's pay-for-performance program for diabetes care: a cost-benefit net value approach.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  7. Article
  8. Do financial aspects affect care transitions in long-term care systems? A systematic review.Archives of public health = Archives belges de sante publique · 2022
    Review
  9. Article
  10. Effectiveness of Nationwide COPD Pay-for-Performance Program on COPD Exacerbations in Taiwan.International journal of chronic obstructive pulmonary disease
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tsung-Tai ChenDepartment of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei 24205, Taiwan. 084907@mail.fju.edu.tw.
Brian OldenburgNoncommunicable Disease Control Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3053, Australia.
Ya-Seng HsuehCentre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3053, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, we discuss the chronic care model (CCM) in relation to the diabetes pay-for-performance (P4P) program in Taiwan. We first introduce the 6 components of the CCM and provide a detailed description of each of the activities in the P4P program implemented in Taiwan, mapping them onto the 6 components of the CCM. For each CCM component, the following three topics are described: the definition of the CCM component, the general activities implemented related to this component, and practical and empirical practices based on hospital or local government cases. We then conclude by describing the possible successful features of this P4P program and its challenges and future directions. We conclude that the successful characteristics of this P4P program in Taiwan include its focus on extrinsic and intrinsic incentives (

Indexed as

Chronic care modelDiabetesDiabetes carePay-for-performanceShared care

Identifiers

PMID33995846
PMCPMC8107979

What OpenQuestion holds

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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.