Evidence map›Paper›PMID 33064091›Full record

ArticleJournal of participatory medicine2020

Crafting Care That Fits: Workload and Capacity Assessments Complementing Decision Aids in Implementing Shared Decision Making.

Thomas H Wieringa, Manuel F Sanchez-Herrera, Nataly R Espinoza, Viet-Thi Tran, Kasey Boehmer

Abstract read
In one paragraph

Article in Journal of participatory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Envisioning Minimally Disruptive Opioid Use Disorder Care.Journal of general internal medicine · 2023
    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.

Thomas H WieringaDepartment of Medical Psychology, Amsterdam UMC, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0001-8440-8844
Manuel F Sanchez-HerreraKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-7517-0325
Nataly R EspinozaKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0003-4644-5809
Viet-Thi TranMETHODS Team, Centre of Research in Epidemiology and StatisticS, Université de Paris, Institut National de la Santé et de la Recherche Médicale, Paris, France.ORCID https://orcid.org/0000-0003-1863-6739
Kasey BoehmerKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, United States.ORCID https://orcid.org/0000-0002-5637-6803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About 42% of adults have one or more chronic conditions and 23% have multiple chronic conditions. The coordination and integration of services for the management of patients living with multimorbidity is important for care to be efficient, safe, and less burdensome. Minimally disruptive medicine may optimize this coordination and integration. It is a patient-centered approach to care that focuses on achieving patient goals for life and health by seeking care strategies that fit a patient's context and are minimally disruptive and maximally supportive. The cumulative complexity model practically orients minimally disruptive medicine-based care. In this model, the patient workload-capacity imbalance is the central mechanism driving patient complexity. These elements should be accounted for when making decisions for patients with chronic conditions. Therefore, in addition to decision aids, which may guide shared decision making, we propose to discuss and clarify a potential workload-capacity imbalance.

Indexed as

decision makingdecision support techniquespatient-centered care

Identifiers

PMID33064091
PMCPMC7434057

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.