Evidence map›Paper›PMID 20549379›Full record

ArticleJournal of general internal medicine2010

Improving clinical access and continuity through physician panel redesign.

Hari Balasubramanian, Ritesh Banerjee, Brian Denton, James Naessens, James Stahl

Abstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Resident physician perspectives on outpatient continuity of care.Journal of graduate medical education · 2013
    Article
  9. Article
  10. Article
  11. Review
  12. 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

5 authors.

Hari BalasubramanianDepartment of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA 01003, USA. hbalasubraman@ecs.umass.edu
Ritesh Banerjee
Brian Denton
James Naessens
James Stahl

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation growth, an aging population and the increasing prevalence of chronic disease are projected to increase demand for primary care services in the United States.

objectiveUsing systems engineering methods, to re-design physician patient panels targeting optimal access and continuity of care.

designWe use computer simulation methods to design physician panels and model a practice's appointment system and capacity to provide clinical service. Baseline data were derived from a primary care group practice of 39 physicians with over 20,000 patients at the Mayo Clinic in Rochester, MN, for the years 2004-2006. Panel design specifically took into account panel size and case mix (based on age and gender). MEASURES: The primary outcome measures were patient waiting time and patient/clinician continuity. Continuity is defined as the inverse of the proportion of times patients are redirected to see a provider other than their primary care physician (PCP).

resultsThe optimized panel design decreases waiting time by 44% and increases continuity by 40% over baseline. The new panel design provides shorter waiting time and higher continuity over a wide range of practice panel sizes.

conclusionsRedesigning primary care physician panels can improve access to and continuity of care for patients.

Indexed as

Appointments and SchedulesAdolescentAdultAgedAged, 80 and overContinuity of Patient CareFemaleHealth Services AccessibilityHumansMaleMiddle AgedPhysicians, Primary CarePrimary Health CareYoung Adult

Identifiers

PMID20549379
PMCPMC2955464

What OpenQuestion holds

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Registered trials

None linked

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.