Evidence map›Paper›PMID 35037890›Full record

ArticleJournal of participatory medicine2022

Decision-making for Parents of Children With Medical Complexities: Activity Theory Analysis.

Francine Buchanan, Claudia Lai, Eyal Cohen, Golda Milo-Manson, Aviv Shachak

Open access · goldAbstract read
In one paragraph

Article in Journal of participatory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Family Caregivers' Experiences of Services for Children With Medical Complexity: A Systematic Review and Qualitative Evidence Synthesis.Health expectations : an international journal of public participation in health care and health policy · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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 1 institution in 1 country.

Francine BuchananInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-6579-2489
Claudia LaiInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-3798-2880
Eyal CohenInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-0112-7188
Golda Milo-MansonInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-5347-175X
Aviv ShachakInstitute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1166-609X
University of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShared decision-making (SDM), a collaborative approach to reach decisional agreement, has been advocated as an ideal model of decision-making in the medical encounter. Frameworks for SDM have been developed largely from the clinical context of a competent adult patient facing a single medical problem, presented with multiple treatment options informed by a solid base of evidence. It is difficult to apply this model to the pediatric setting and children with medical complexity (CMC), specifically since parents of CMC often face a myriad of interconnected decisions with minimal evidence available on the multiple complex and co-existing chronic conditions. Thus, solutions that are developed based on the traditional model of SDM may not improve SDM practices for CMCs and may be a factor contributing to the low rate of SDM practiced with CMCs.

objectiveThe goal of our study was to address the gaps in the current approach to SDM for CMC by better understanding the decision-making activity among parents of CMCs and exploring what comprises their decision-making activity.

methodsWe interviewed 12 participants using semistructured interviews based on activity theory. Participants identified as either a parent of a CMC or a CMC over the age of 18 years. Qualitative framework analysis and an activity theory framework were employed to understand the complexity of the decision-making process in context.

resultsParents of CMCs in our study made decisions based on a mental model of their child's illness, informed by the activities of problem-solving, seeking understanding, obtaining tests and treatment, and caregiving. These findings suggest that the basis for parental choice and values, which are used in the decision-making activity, was developed by including activities that build concrete understanding and capture evidence to support their decisions.

conclusionsOur interviews with parents of CMCs suggest that we can address both the aims of each individual activity and the related outcomes (both intended and unintended) by viewing the decision-making activity as a combination of caregiving, problem-solving, and seeking activities. Clinicians could consider using this lens to focus decision-making discussions on integrating the child's unique situation, the insights parents gain through their decision-making activity, and their clinical knowledge to enhance the understanding between parents and health care providers, beyond the narrow concept of parental values.

Indexed as

activity theorycaregivingparental decision-makingparentingparticipatory medicinepediatricshared decision-making

Identifiers

PMID35037890
PMCPMC8804956
OpenAlexW4205539113

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.