Evidence map›Paper›PMID 27002075›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Is the problem list in the eye of the beholder? An exploration of consistency across physicians.

John C Krauss, Philip S Boonstra, Anna V Vantsevich, Charles P Friedman

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.1field-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

14 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Characterizing the Utilization of the Problem List for Pediatric Trauma Care.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
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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 at 2 institutions in 1 country.

John C KraussDivision of Hematology/Oncology, Department of Internal Medicine, University of Michigan Medical School, 3-219 Cancer Center, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA. jkrauss@med.umich.edu jkrauss@med.umich.edu.
Philip S BoonstraDepartment of Biostatistics, School of Public Health, II, 1415 Washington Heights, University of Michigan, Ann Arbor, MI, 48109-2029, USA.
Anna V VantsevichSan Francisco VA Medical Center, Mental Health Service, 4150 Clement St, San Francisco CA, 94121, USA.
Charles P FriedmanDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, 48109, USA.
University of Michigan–Ann Arbor · USSan Francisco VA Medical Center · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

objectiveQuantify the variability of patients' problem lists - in terms of the number, type, and ordering of problems - across multiple physicians and assess physicians' criteria for organizing and ranking diagnoses. MATERIALS AND

methodsIn an experimental setting, 32 primary care physicians generated and ordered problem lists for three identical complex internal medicine cases expressed as detailed 2- to 4-page abstracts and subsequently expressed their criteria for ordering items in the list. We studied variability in problem list length. We modified a previously validated rank-based similarity measure, with range of zero to one, to quantify agreement between pairs of lists and calculate a single consensus problem list that maximizes agreement with each physician. Physicians' reasoning for the ordering of the problem lists was recorded.

resultsSubjects' problem lists were highly variable. The median problem list length was 8 (range: 3-14) for Case A, 10 (range: 4-20) for Case B, and 7 (range: 3-13) for Case C. The median indices of agreement - taking into account the length, content, and order of lists - over all possible physician pairings was 0.479, 0.371, 0.509, for Cases A, B, and C, respectively. The median agreements between the physicians' lists and the consensus list for each case were 0.683, 0.581, and 0.697 (for Cases A, B, and C, respectively).Out of a possible 1488 pairings, 2 lists were identical. Physicians most frequently ranked problem list items based on their acuity and immediate threat to health.

conclusionsThe problem list is a physician's mental model of a patient's health status. These mental models were found to vary significantly between physicians, raising questions about whether problem lists created by individual physicians can serve their intended purpose to improve care coordination.

Indexed as

Medical Records, Problem-OrientedPhysicians, Primary CareHumansPatient Care ManagementPractice Patterns, Physicians'coordination of patient careelectronic health recordmedical problem listranked-biased overlapranked lists

Identifiers

PMID27002075
PMCPMC4997039
OpenAlexW2306460807

What OpenQuestion holds

Textmetadata
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.