Evidence map›Paper›PMID 31943208›Full record

ArticleHealth services research2020

Development of a novel metric of timely care access to primary care services.

Adam J Batten, Matthew R Augustine, Karin M Nelson, Peter J Kaboli

Abstract read
In one paragraph

Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adam J BattenPrimary Care Analytics Team, Veterans Health Administration, Seattle, Washington.
Matthew R AugustineDepartment of Medicine, James J Peters VA Medical Center, Bronx, New York.
Karin M NelsonPrimary Care Analytics Team, Veterans Health Administration, Seattle, Washington.
Peter J KaboliVeterans Rural Health Resource Center-Iowa City, VA Office of Rural Health and Center for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, Iowa.ORCID 0000-0003-0993-0952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a model for identifying clinic performance at fulfilling next-day and walk-in requests after adjusting for patient demographics and risk. DATA SOURCE: Using Department of Veterans Affairs (VA) administrative data from 160 VA primary care clinics from 2014 to 2017. STUDY

designUsing a retrospective cohort design, we applied Bayesian hierarchical regression models to predict provision of timely care, with clinic-level random intercept and slope while adjusting for patient demographics and risk status. Timely care was defined as the provision of an appointment within 48 hours of any patient requesting the clinic's next available appointment or walking in to receive care. DATA COLLECTION/EXTRACTION

methodsWe extracted 1 841 210 timely care requests from 613 263 patients. PRINCIPAL

findingsAcross 160 primary care clinics, requests for timely care were fulfilled 86 percent of the time (range 83 percent-88 percent). Our model of timely care fit the data well, with a Bayesian R

conclusionStatistical models of timely care allow for identification of clinics in need of improvement after adjusting for patient demographics and risk status. VA primary care clinics fulfilled 86 percent of timely care requests.

Indexed as

Appointments and SchedulesAdultAgedAged, 80 and overAmbulatory Care FacilitiesBayes TheoremCohort StudiesFemaleHealth Services AccessibilityHospitals, VeteransHumansMaleMiddle AgedPrimary Health CareRetrospective StudiesTime-to-Treatmentaccess/demand/utilization of servicesadministrative data usesprimary care

Identifiers

PMID31943208
PMCPMC7080389

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.