Evidence map›Paper›PMID 27716188›Full record

ArticleBMC health services research2016

Circle of care modelling: an approach to assist in reasoning about healthcare change using a patient-centric system.

Morgan Price

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
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  8. Article
  9. Real-World Data and Machine Learning to Predict Cardiac Amyloidosis.International journal of environmental research and public health · 2021
    Article
  10. An end to coercion: rights and decision-making in mental health care.Bulletin of the World Health Organization · 2020
    Article
  11. Framework for Patient Safety.Innovations in pharmacy · 2019
    Article
  12. 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

1 author.

Morgan PriceIsland Medical Program, University of British Columbia, Vancouver, Canada. morgan@leadlab.ca.ORCID 0000-0001-6409-1579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany health system and health Information and Communication Technology (ICT) projects do not achieve their expected benefits. This paper presents an approach to exploring changes in the healthcare system to better understand the expected improvements and other changes by using a patient-centric modelling approach. Circle of care modeling (CCM) was designed to assist stakeholders in considering healthcare system changes using a patient centric approach.

methodsThe CCM approach is described. It includes four steps, based on soft systems methodology: finding out, conceptual modelling, structured discussion, and describing potential improvements. There are four visualizations that are used though this process: patient-persona based rich pictures of care flows (as part of finding out), and three models: provider view, communication view, and information repository view (as part of conceptual modelling).

resultsThree case studies are presented where CCM was applied to different real-world healthcare problems: 1. Seeking improvements in continuity of care for end of life patients. 2. Exploring current practices for medication communication for ambulatory patients prior to an update of a jurisdictional drug information system. 3. Deciding how to improve attachment of patients to primary care. The cases illustrate how CCM helped stakeholders reason from a patient centered approach about gaps and improvements in care such as: data fragmentation (in 1), coordination efforts of medication management (in 2), and deciding to support a community health centre for unattached patients (in 3). DISCUSSION: The circle of care modelling approach has proved to be a useful tool in assisting stakeholders explore health system change in a patient centric approach. It is one way to instantiate the important principle of being patient centered into practice when considering health system changes.

Indexed as

CommunicationCommunity Health CentersContinuity of Patient CareDelivery of Health CareHumansMedical InformaticsModels, OrganizationalPatient-Centered CarePrimary Health CareQuality ImprovementCircle of careClinical informaticsModelingQuality improvement

Identifiers

PMID27716188
PMCPMC5050584

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Registered trials

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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.