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Record W3080688043 · doi:10.1186/s12911-020-01189-9

Pilot implementation of an electronic patient-reported outcome measure for planning and monitoring participation-focused care in early intervention

2020· article· en· W3080688043 on OpenAlexaff
Erin Albrecht, Vera Kaelin, Briana Rigau, Jodi K. Dooling-Litfin, Elizabeth Scully, Natalie Murphy, Beth M. McManus, Mary A. Khetani

Bibliographic record

VenueBMC Medical Informatics and Decision Making · 2020
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsMcMaster University
FundersNational Center for Medical Rehabilitation ResearchDivision of Loan RepaymentEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational SciencesNational Institutes of Health
KeywordsPsychological interventionIntervention (counseling)MedicineNursingHealth informaticsProtocol (science)Data collectionFamily medicinePsychologyPublic health

Abstract

fetched live from OpenAlex

BACKGROUND: Family-centered care is a valued approach to improving child and family outcomes in early intervention (EI), yet there is need to implement interventions that support information exchange for shared decision-making when planning and monitoring EI care. This study aims at estimating the feasibility, acceptability, and value of implementing the Young Children's Participation and Environment Measure (YC-PEM), a valid electronic patient-reported outcome (e-PRO) that is designed to support family engagement when planning care and monitoring outcomes of care. METHODS: Data were gathered from caregivers (N = 139) that were enrolled in a Phase 1 trial of the YC-PEM e-PRO as implemented within 1 month of their child's next EI evaluation of progress. YC-PEM e-PRO feasibility was estimated according to enrollment and completion rates, and mean completion time. Chi-square tests were used to examine parent perceptions of YC-PEM e-PRO acceptability by caregiver education and family income. Caregiver feedback via open-ended responses were content coded to inform intervention and protocol optimizations. YC-PEM e-PRO value was estimated via composite and item-level scores to capture the extent of participation difficulty in home and community activities, and common areas of need regarding caregivers desired change in their child's participation. RESULTS: Feasibility of implementing the YC-PEM e-PRO in routine EI care was mixed, as evidenced by low enrollment rates (21.0-29.2%), a high completion rate (85.3%), and limited missing data (80.6% of completed cases contained no missing data). More than half of the participants reported that the completion of the YC-PEM e-PRO was at least somewhat helpful, regardless of family income or caregiver education, providing support for its acceptability. As for its value, the YC-PEM e-PRO results were viewed by 64% of caregivers, whose desire for change most often pertained to the child's participation in non-discretionary activities at home and structured activities in the community. CONCLUSIONS: Results may support the implementation of YC-PEM e-PRO as a feasible, acceptable, and valued option for engaging families in planning the child's EI care. Results also inform select intervention and protocol optimizations prior to undertaking a multi-site pragmatic trial of its effectiveness on family engagement and shared decision-making within an EI clinical workflow. TRIAL REGISTRATION: Trial number: NCT03904797 . Trial registered at Clinicaltrials.gov . Registered 22 March 2019. Retrospectively registered.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.411
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.169
GPT teacher head0.479
Teacher spread0.310 · 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".

Quick stats

Citations10
Published2020
Admission routes1
Has abstractyes

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