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Record W2511301203 · doi:10.1186/s12913-016-1700-3

Central intake to improve access to physiotherapy for children with complex needs: a mixed methods case report

2016· article· en· W2511301203 on OpenAlexafffundabout
Kristy Wittmeier, Gayle Restall, Kathy Mulder, Brenden Dufault, Marie Paterson, Matthew Thiessen, Lisa M. Lix

Bibliographic record

VenueBMC Health Services Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversity of ManitobaGeorge & Fay Yee Centre for Healthcare InnovationHealth Sciences Centre
FundersAgency for Healthcare Research and QualityHealth Sciences Centre Foundation
KeywordsReferralMedicineTest (biology)Health administrationNursing researchNursingRehabilitationHealth informaticsFamily medicinePublic healthGovernment (linguistics)Physical therapy

Abstract

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BACKGROUND: Children with complex needs can face barriers to system access and navigation related to their need for multiple services and healthcare providers. Central intake for pediatric rehabilitation was developed and implemented in 2008 in Winnipeg Manitoba Canada as a means to enhance service coordination and access for children and their families. This study evaluates the process and impact of implementing a central intake system, using pediatric physiotherapy as a case example. METHODS: A mixed methods instrumental case study design was used. Interviews were completed with 9 individuals. Data was transcribed and analyzed for themes. Quantitative data (wait times, referral volume and caregiver satisfaction) was collected for children referred to physiotherapy with complex needs (n = 1399), and a comparison group of children referred for orthopedic concerns (n = 3901). Wait times were analyzed using the Kruskal-Wallis test, caregiver satisfaction was analyzed using Fisher exact test and change point modeling was applied to examine referral volume over the study period. RESULTS: Interview participants described central intake implementation as creating more streamlined processes. Factors that facilitated successful implementation included 1) agreement among stakeholders, 2) hiring of a central intake coordinator, 3) a financial commitment from the government and 4) leadership at the individual and organization level. Mean (sd) wait times improved for children with complex needs (12.3(13.1) to 8.0(6.9) days from referral to contact with family, p < 0.0001; 29.8(17.9) to 24.3(17.0) days from referral to appointment, p < 0.0001) while referral volumes remained consistent. A small but significant increase in wait times was observed for the comparison group (9.6(8.6) to 10.1(6.6) days from referral to contact with family, p < 0.001; 20.4(14.3) to 22.1(13.1) days from referral to appointment, p < 0.0001), accompanied by an increasing referral volume for this group. Caregiver satisfaction remained high throughout the process (p = 0.48). CONCLUSIONS: Central intake implementation achieved the intended outcomes of streamlining processes and improving transparency and access to pediatric physiotherapy (i.e., decreasing wait times) for families of children with complex needs. Future research is needed to build on this single discipline case study approach to examine changes in wait times, therapy coordination and stakeholder satisfaction within the context of continuing improvements for pediatric therapy services within the province.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.091
GPT teacher head0.507
Teacher spread0.416 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations17
Published2016
Admission routes3
Has abstractyes

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