Evidence map›Paper›PMID 38618046›Full record

ArticleInternational journal of integrated care

Communities of Care Approach: Developing a Place-based Model of Care and Building Partnerships in the Communities in Central Singapore.

Wei Ting Chen, Sing Yong Lim, Shermaine How, Woan Shin Tan, Ian Yi Onn Leong

Open access · goldAbstract read
In one paragraph

Article in International journal of integrated care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

5 authors at 2 institutions in 2 countries.

Wei Ting ChenDivision for Central Health, Tan Tock Seng Hospital, Singapore.ORCID https://orcid.org/0000-0002-6484-1779
Sing Yong LimDivision for Central Health, Tan Tock Seng Hospital, Singapore.
Shermaine HowDivision for Central Health, Tan Tock Seng Hospital, Singapore.
Woan Shin TanHealth Services & Outcomes Research, National Healthcare Group, Singapore.ORCID https://orcid.org/0000-0003-1055-0412
Ian Yi Onn LeongDivision for Central Health, Tan Tock Seng Hospital, Singapore.
Tan Tock Seng Hospital · SGSingHealth · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The population in Singapore is ageing, adding pressure to community care as the health and social needs of its residents increase. This has accelerated the pace at which Regional Health Systems adopt and deliver its population health strategies from early prevention, chronic disease management, crisis care to end-of-life care. To this end, the Central Health Integrated Care Network (ICN) began its journey to develop Communities of Care (CoCs) with other health and social care partners to meet the needs of residents in the Central Zone of Singapore. This paper describes the processes and steps taken by Central Health ICN to build partnerships with other agencies and organisations to build place-based models of care in the local neighbourhoods. The faciliating factors and the barriers faced in the implementation of CoCs were described to allow sharing of such learnings on large scale change. Strategies in overcoming some of the challenges were also presented to demonstrate the iterative processes required in building integrated place-based models of care to meet the needs of the residents in different communities.

Indexed as

care deliverylocal communitiesneighbourhoodpartnership

Identifiers

PMID38618046
PMCPMC11012037
OpenAlexW4394606393

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.