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Record W4409788970 · doi:10.1186/s12887-025-05679-5

Co-creation and evaluation of online care maps for children with medical complexity

2025· article· en· W4409788970 on OpenAlexafffund
Sherri Adams, Madison Beatty, Blossom Dharmaraj, Clara Moore, Arti D. Desai, Leah Bartlett, Erin Culbert, Eyal Cohen‬‏, Jennifer Stinson, Julia Orkin

Bibliographic record

VenueBMC Pediatrics · 2025
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsCredit Valley HospitalRoyal Victoria Regional Health CentreMcMaster UniversityInstitute for Clinical Evaluative SciencesUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersOntario Centre of InnovationGovernment of Ontario
KeywordsMedicineData scienceFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Care maps are a caregiver-created diagrammatic tool to support the care of children with medical complexity (CMC). They provide a high-level overview of care, allowing the care team to appreciate the interrelatedness of medical and non-medical aspects of care. Limitations currently exist for the usability, shareability, and integration of care maps into clinical care as they are typically paper-based and caregiver-held. Therefore, the aims of the study were to (1) collaborate with caregivers and care team members (CTMs) of CMC to determine the design requirements and develop an online care map, (2) assess usability, and (3) explore its feasibility and utility from multiple perspectives. METHODS: This mixed methods study utilized an exploratory sequential design. In Phase 1 (Design and Development), the design requirements and utility of an online care map were identified through semi-structured qualitative interviews with caregivers and CTMs. In Phase 2 (Usability Testing), caregivers were monitored for errors and efficiency while completing a standardized task on the online care map. In Phase 3 (Feasibility Testing), caregivers created, updated, and shared online care maps that were housed within a patient-facing online platform accessible to CTMs. Caregivers and CTMs reported their usage of the care map and a descriptive visual content analysis of the care maps was completed. Semi-structured interviews with caregivers and CTMs were conducted to explore the use and feasibility of the online care maps. Qualitative interviews were analyzed using inductive content analysis. RESULTS: In Phase 1, interviews were conducted with caregivers (n = 16) and CTMs (n = 16). Four themes related to the utility and design were identified: (1) simplified snapshot, (2) envisioned use, (3) caregiver hesitancy, and (4) design modifications. The online care map prototype was modified accordingly. In Phase 2, half of the caregivers (n = 5) made one or more navigation error while using the care map. Nearly all caregivers (n = 9) completed the care map task successfully. In Phase 3, thirty-six caregivers registered on the online platform, with 70% (n = 25) creating a care map. Four themes were generated from interviews with caregivers (n = 15) and CTMs (n = 13): (1) care maps in clinical care, (2) enhanced understanding of the bigger picture, (3) uncertain value and redundancy, and (4) innovations for greater impact. CONCLUSION: An online care map creation tool was co-developed with caregivers and CTMs for CMC. Caregivers and CTMs appreciated online care maps as an organizational, coordination, and communication tool, providing an enhanced understanding of the complexity of care, a holistic view of the child, and guiding care discussions. Some caregivers did not use the care map due to a perceived lack of value or redundancy. Future research should explore the integration of care maps into electronic medical records and care pathways and evaluate the impact on clinical outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.501
Teacher spread0.408 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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