Evidence map›Paper›PMID 32157646›Full record

ArticleJournal of general internal medicine2020

Differences in the Complexity of Office Visits by Physician Specialty: NAMCS 2013-2016.

John D Goodson, Sara Shahbazi, Karthik Rao, Zirui Song

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

John D GoodsonWang 625, Massachusetts General Hospital, 15 Fruit St, Boston, MA, 02114, USA. jgoodson1@mgh.harvard.edu.ORCID 0000-0002-8847-1653
Sara ShahbaziWang 625, Massachusetts General Hospital, 15 Fruit St, Boston, MA, 02114, USA.
Karthik RaoWang 625, Massachusetts General Hospital, 15 Fruit St, Boston, MA, 02114, USA.
Zirui SongWang 625, Massachusetts General Hospital, 15 Fruit St, Boston, MA, 02114, USA.

Funding

Inequities in Health Outcomes in the Twenty-First Century: Understanding New Causes and the Impact of Delivery System Reforms on Health Care DisparitiesDP5OD024564 · OD · HARVARD MEDICAL SCHOOL · PI SONG, ZIRUI · 2017 to 2021
$2.1M
NIH HHS 1DP5OD024564NIH HHS DP5 OD024564
6 · The paper itself

Abstract

backgroundSpecialty-to-specialty variation in use of outpatient evaluation and management service codes could lead to important differences in reimbursement among specialties.

objectiveTo compare the complexity of visits to physicians whose incomes are largely dependent on evaluation and management services to the complexity of visits to physicians whose incomes are largely dependent on procedures. DESIGN, SETTING, AND

participantsWe analyzed 53,670 established patient outpatient visits reported by physicians in the National Ambulatory Medical Care Survey (NAMCS) from 2013 to 2016. We defined high complexity visits as those with an above average number of diagnoses (> 2) and/or medications (> 3) listed We based our comparison on time intervals corresponding to typical outpatient evaluation and management times as defined by the Current Procedural Terminology Manual and specialty utilization of evaluation and management codes based on 2015 Medicare payments. MAIN OUTCOME AND MEASURES: Proportion of complex visits by specialty category. KEY

resultsWe found significant differences in the content of similar-length office visits provided by different specialties. For level 4 established outpatient visits (99214), the percentage involving high diagnostic complexity ranged from 62% for internal medicine, 52% for family medicine/general practice, and 41% for neurology (specialties whose incomes are largely dependent on evaluation and management codes), to 34% for dermatology, 42% for ophthalmology, and 25% for orthopedic surgery (specialties whose incomes are more dependent on procedure codes) (p value of the difference < 0.001). High medication complexity was found in the following proportions of visits: internal medicine 56%, family medicine/general practice 49%, and neurology 43%, as compared with dermatology 33%, ophthalmology 30%, and orthopedic surgery 30% (p value of the difference < 0.001).

conclusionWithin the same duration visits, specialties whose incomes depend more on evaluation and management codes on average addressed more clinical issues and managed more medications than specialties whose incomes are more dependent on procedures.

Indexed as

MedicarePhysiciansAgedAmbulatory CareHealth Care SurveysHumansOffice VisitsOutpatientsUnited Statesduration of visitevaluation and management servicesNAMCSoutpatient visit complexity

Identifiers

PMID32157646
PMCPMC7280404

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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.