Evidence map›Paper›PMID 30586493›Full record

ArticleThe American journal of managed care2018

Patient attribution: why the method matters.

Rozalina G McCoy, Kari S Bunkers, Priya Ramar, Sarah K Meier, Lorelle L Benetti, Robert E Nesse, James M Naessens

Abstract read
In one paragraph

Article in The American journal of managed care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Rozalina G McCoyDivision of Health Care Policy & Research, Mayo Clinic, 200 First St SW, Rochester, MN 55905. Email: mccoy.rozalina@mayo.edu.
Kari S Bunkers
Priya Ramar
Sarah K Meier
Lorelle L Benetti
Robert E Nesse
James M Naessens

Funding

Predicting the Risk of Severe Hypoglycemic and Hyperglycemic Events in Adults with DiabetesK23DK114497 · NIDDK · MAYO CLINIC ROCHESTER · PI MCCOY, ROZALINA GRUBINA · 2017 to 2021
$846k
NIDDK NIH HHS K23 DK114497
6 · The paper itself

Abstract

objectivesTo assess the impact of 5 commonly used patient attribution methods on measured healthcare cost, quality, and utilization metrics within an integrated healthcare delivery system. STUDY

designCross-sectional analysis of administrative data of all patients attributed (by any of 5 methods) and/or paneled to a primary care provider (PCP) at Mayo Clinic Rochester (MCR) in 2011.

methodsWe retrospectively applied 5 attribution methods to MCR administrative data from January 1, 2010, to December 31, 2011. MCR is an integrated healthcare delivery system serving primary care and referral populations. The referral practice is geographically colocated but otherwise distinct from 6 primary care practice sites that include pediatric, internal medicine, and family medicine groups. Patients attributed by each method were compared on their concordance with PCP empanelment, quality measures, healthcare utilization, and total costs of care.

resultsThe 5 methods attributed between 61,813 (42%) and 106,152 (72%) of paneled patients to a PCP at MCR, although not necessarily to the paneled PCP. There was marked variation in care utilization and total costs of care, but not quality measures, among patients attributed by the different methods and between those paneled versus not paneled. Patients with more primary care visits were more likely to be attributed by all methods.

conclusionsReliable identification of the physician-patient relationship is necessary for accurate evaluation of healthcare processes, efficiencies, and outcomes. Optimization and standardization of attribution methods are therefore essential as health systems, payers, and policy makers seek to evaluate and improve the value of delivered care.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesDelivery of Health Care, IntegratedFemaleHealth Care CostsHumansMaleMiddle AgedMinnesotaPatient Acceptance of Health CarePatientsPrimary Health CareQuality of Health CareReferral and Consultation

Identifiers

PMID30586493
PMCPMC6549236

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.