Evidence map›Paper›PMID 17548856›Full record

ArticleAnnals of family medicine

Toward an ecosystemic approach to chronic care design and practice in primary care.

Hassan Soubhi

Abstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Organizational readiness in specialty mental health care.Journal of general internal medicine · 2010
    Article
  5. Article
  6. 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.

Hassan SoubhiDepartment of Family Medicine, Sherbrooke University, Sherbrooke, Quebec, Canada. hassan.soubhi@usherbrooke.ca

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the increasing prevalence of chronic conditions and multimorbidities, the essential attributes of the structure and delivery of primary care continue to be defined in terms of disease-specific approaches and acute conditions. Effective improvements will require alternative ways of thinking about chronic care design and practice. This essay argues for an ecosystemic understanding of chronic care founded on a communal and a dynamic view of the response of the patient, family, and health professionals to chronic illness. The communal view highlights the cocreative nature of the response to illness and the need to integrate the skills and resources of all the participants; what and how the participants learn in the course of the illness become central to chronic care. The dynamic view draws attention to the unfolding of illness management activities over time and to the need to engage the illness at specific time points or recurring time intervals that have the potential for important change in the experience of the participants. Chronic care would then include design for community, with an emphasis on the patient and family as necessary participants in the health care team. It would also include design for emergent learning and practice whereby health professionals go beyond standardization of care processes to develop new ways to harness the participants' imagination and learn from the changing experience of illness. Health professionals would also learn to cultivate trust, communal engagement, and openness to experimentation that facilitate collective learning, and help sharpen the participants' responsiveness to the emergent.

Indexed as

Delivery of Health CareHumansLong-Term CarePatient Care TeamPatient ParticipationPrimary Health Care

Identifiers

PMID17548856
PMCPMC1886497

What OpenQuestion holds

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Read underepoch 390

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.