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Record W4388851207 · doi:10.1002/anzf.1557

Virtual care delivery of whole family assessment and intervention with infants and preschoolers: a thematic analysis of clinician and family experiences

2023· article· en· W4388851207 on OpenAlexaff
Diane A. Philipp, Klaudia Szczech, Nick L. Hanson, Gabrielle O’Hara, Janai Puckett

Bibliographic record

VenueAustralian and New Zealand Journal of Family Therapy · 2023
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsWomen's College HospitalSt. Michael's HospitalUniversity of TorontoSickKids FoundationHospital for Sick ChildrenMcGill UniversityMental Health Research Canada
Fundersnot available
KeywordsThematic analysisMental healthPsychologyIntervention (counseling)Flexibility (engineering)PopulationFamily therapyTelehealthNursingMedicineQualitative researchHealth careClinical psychologyTelemedicinePsychotherapist

Abstract

fetched live from OpenAlex

Abstract In this study, we explore family and clinician experiences with virtual care delivery of whole family assessment and therapy developed for infant and preschool‐aged children and adapted during the COVID‐19 pandemic. A clinical case study is also presented. Between September and November 2020, semi‐structured interviews were conducted with four clinicians working with families with children in the 0 to 5 population and with four caregivers with children aged 4–6 years ( M = 5.3) involved in whole family assessment and intervention (i.e., Lausanne Trilogue Play [LTP]; Reflective Family Play [RFP]) at a community mental health facility. Clinicians represented various mental health disciplines. Qualitative data were analysed using inductive thematic analysis with intercoder reliability established. Analysis of interviews generated nine themes organised within two conceptual frameworks, accessibility and efficacy. Accessibility included the themes: (1) flexibility, (2) privacy, and (3) resources. Efficacy comprised: (4) effects of technology, (5) home environment, (6) feasibility of therapy tasks, (7) parent alliance, (8) clinician fatigue, and (9) overall evaluation. Home environment was further divided into three subthemes: (5.1) disruptions, (5.2) boundaries, and (5.3) naturalistic observation. While participants reported benefits and challenges uniquely related to virtual care, both caregivers and clinicians expressed overall satisfaction with virtual whole family assessment and therapy. This study provides a rich exploration of the perspectives of caregivers and clinicians engaged in virtual whole family mental health care during the COVID‐19 pandemic. With adequate technology and privacy, whole family assessment and therapy, such as the LTP and RFP, provided via video teleconferencing facilitated accessible and effective care for families of young children with moderate to severe mental health challenges. Evidence suggests in‐person and hybrid approaches to whole family assessment and therapy could be further tailored to meet the needs of families with young children and infants.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.089
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.068
GPT teacher head0.419
Teacher spread0.351 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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