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Record W2605472059 · doi:10.1186/s12913-017-2219-y

Interventions to reduce wait times for primary care appointments: a systematic review

2017· review· en· W2605472059 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBMC Health Services Research · 2017
Typereview
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsBruyèreUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsMedicineCINAHLPsychological interventionMEDLINEFamily medicineInclusion (mineral)Cochrane LibraryNursing researchHealth administrationHealth careInclusion and exclusion criteriaSystematic reviewMeta-analysisPublic healthNursingAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Accessibility and availability are important characteristics of efficient and effective primary healthcare systems. Currently, timely access to a family physician is a concern in Canada. Adverse outcomes are associated with longer wait times for primary care appointments and often leave individuals to rely on urgent care. When wait times for appointments are too long patients may experience worse health outcomes and are often left to use emergency department resources. The primary objective of our study was to systematically review the literature to identify interventions designed to reduce wait times for primary care appointments. Secondary objectives were to assess patient satisfaction and reduction of no-show rates. METHODS: We searched multiple databases, including: Medline via Ovid SP (1947 to present), Embase (from 1980 to present), PsychINFO (from 1806 to present), Cochrane Central Register of Controlled Trials (CENTRAL; all dates), Cumulative Index to Nursing and Allied Health (CINAHL; 1937 to present), and Pubmed (all dates) to identify studies that reported outcomes associated with interventions designed to reduce wait times for primary care appointments. Two independent reviewers assessed all identified studies for inclusion using pre-defined inclusion/exclusion criteria and a multi-level screening approach. Our study methods were guided by the Cochrane Handbook for Systematic Reviews of Interventions. RESULTS: Our search identified 3,960 articles that were eligible for inclusion, eleven of which satisfied all inclusion/exclusion criteria. Data abstraction of included studies revealed that open access scheduling is the most commonly used intervention to reduce wait times for primary care appointments. Additionally, included studies demonstrated that dedicated telephone calls for follow-up consultation, presence of nurse practitioners on staff, nurse and general practitioner triage, and email consultations were effective at reducing wait times. CONCLUSIONS: To our knowledge, this is the first study to systematically review and identify interventions designed to reduce wait times for primary care appointments. Our findings suggest that open access scheduling and other patient-centred interventions may reduce wait times for primary care appointments. Our review may inform policy makers and family healthcare providers about interventions that are effective in offering timely access to primary healthcare.

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.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.361
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.406
GPT teacher head0.637
Teacher spread0.230 · 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