Evidence map›Paper›PMID 33543503›Full record

ArticleHealth services research2021

Physician network connections to specialists and HIV quality of care.

Chad Stecher

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2021. 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
3.1field-weighted citation impact, top 9% 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, 18 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Chad StecherCollege of Health Solutions, Arizona State University, Phoenix, Arizona, USA.ORCID 0000-0003-2218-3306
Arizona State University · US

Funding

Economics and Demography of Aging TrainingT32AG033533 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BIANCHI, SUZANNE M., COSTA, DORA L · 2011 to 2015
$1.3M
NIA NIH HHS T32 AG033533
6 · The paper itself

Abstract

objectiveTo estimate novel measures of generalist physicians' network connectedness to HIV specialists and their associations with two dimensions of HIV quality of care. DATA SOURCES: Medicare and Medicaid claims and the American Medical Association Masterfile data on people living with HIV (PLWH) and the physicians providing their HIV care in California between 2007 and 2010. STUDY

designI construct regional patient-sharing physician networks from the shared treatment of PLWH and calculate (a) measures of network connectedness to all physician types and (b) specialty-weighted measures to describe connectedness to HIV specialists. Two HIV quality of care outcomes are then evaluated: medication quality (prescribing antiretroviral drugs from at least two drug classes) and monitoring quality (at least two annual HIV virus monitoring scans). Linear probability models estimate the associations between network statistics and the two dimensions of HIV quality of care, and a policy simulation demonstrates the importance of these statistical relationships. These analyses include 16 124 PLWH, 3240 generalists, and 1031 HIV specialists. DATA COLLECTION/EXTRACTION

methodsPLWH are identified from claims for patients with any indication of HIV using an existing algorithm from the literature. PRINCIPAL

findingsGeneralists' network connectedness to HIV specialists is positively related with their own HIV medication quality; one additional HIV specialist connection is associated with a 1.46 percentage point (SE 0.42, P < .01) increase in generalist's medication quality. Based on the estimated associations, a simulated policy that increases connectedness between generalists and HIV specialists reduces the annual rate of HIV infections by up to 6%, roughly 290 fewer infections per year. Only network connectedness to all physician types is associated with improved monitoring quality.

conclusionsNetwork connectedness to HIV specialists is positively associated with generalists' HIV medication quality, which suggests that specialists provide clinical support through patient-sharing for complex treatment protocol.

Indexed as

Social Network AnalysisAdultAgedAnti-Retroviral AgentsCaliforniaComorosFemaleHIV InfectionsHumansInsurance Claim ReviewMaleMental HealthMiddle AgedOffice VisitsPhysiciansPrimary Health CareAnti-Retroviral AgentsHIV/AIDSphysician networksquality of caresocial network analysis

Identifiers

PMID33543503
PMCPMC8522565
OpenAlexW3127084175

What OpenQuestion holds

Textmetadata
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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.