Evidence map›Paper›PMID 35426924›Full record

SynthesisJAMA network open2022

Analysis of Variation in Organizational Definitions of Primary Care Panels: A Systematic Review.

Michael F Mayo-Smith, Rebecca A Robbins, Mark Murray, Rachel Weber, Pamela J Bagley, Elaina J Vitale, Neil M Paige

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Toward a universal definition of provider-patient attachment in primary care.Canadian family physician Medecin de famille canadien · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Physician and Practice Characteristics Associated with Family Physician Panel Size.Journal of the American Board of Family Medicine : JABFM
    Article
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

7 authors at 5 institutions in 1 country.

Michael F Mayo-SmithDartmouth Geisel School of Medicine, Hanover, New Hampshire.
Rebecca A RobbinsDartmouth Hitchcock Medical Center, Lebanon, New Hampshire.
Mark MurrayMark Murray and Associates, Sacramento, California.
Rachel WeberHealthcare IE LLC, Mission Viejo, California.
Pamela J BagleyDartmouth Geisel School of Medicine, Hanover, New Hampshire.
Elaina J VitaleDartmouth Geisel School of Medicine, Hanover, New Hampshire.
Neil M PaigeVA Greater Los Angeles Healthcare System, Los Angeles, California.
Dartmouth College · USDartmouth–Hitchcock Medical Center · USHarvard University · USMission Heritage Medical Group · USVA Greater Los Angeles Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Primary care panel size plays an increasing role in measuring primary care provider (ie, physicians and advanced practice providers, which include nurse practitioners and physician assistants) workload, setting practice capacity, and determining pay and can influence quality of care, access, and burnout. However, reported panel sizes vary widely. Objective: To identify how panels are defined, the degree of variation in these definitions, the consequences of different definitions of panel size, and research on strengths of different approaches. Evidence Review: Following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, MEDLINE, Web of Science, Embase, and Dissertations and Theses Global databases were searched from inception to April 28, 2021, for subject headings and text words to capture concepts of primary care panel size. Article review and data abstraction were performed independently by 2 reviewers. Main outcomes reported included rules for adding or removing patients from panels, rules for measuring primary care provider resources, consequences of different rules on reported panel size, and research on advantages and disadvantages of different rules. Findings: The literature search yielded 1687 articles, with 294 potentially relevant articles and 74 containing relevant data. Specific practices were identified from 29 health care systems and 5 empanelment implementation guides. Patients were most commonly empaneled after 1 primary care visit (24 of 34 [70.6%]), but some were empaneled only after several visits (5 [14.8%]), enrollment in a health plan (4 [11.8%]) or any visit to the health care system (1 [3.0%]). Patients were removed when no visit had occurred in a specified look-back period, which varied from 12 to 42 months. Regarding primary care provider resources, half of organizations assigned advanced practice providers independent panels and half had them share panels with a physician, increasing the physician's panel by 50% to 100%. Analyses demonstrated that changes in individual rules for adding patients, removing patients, or estimating primary care provider resources could increase reported panel size from 20% to 100%, without change in actual primary care provider workload. No research was found investigating advantages of different definitions. Conclusions and Relevance: Much variation exists in how panels are defined, and this variation can have substantial consequences on reported panel size. Research is needed on how to define primary care panels to best identify active patients, which could contribute to a widely accepted standard approach to panel definition.

Indexed as

Nurse PractitionersDelivery of Health CareHumansOrganizationsPrimary Health CareWorkload

Identifiers

PMID35426924
PMCPMC9012968
OpenAlexW4224047314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.