Evidence map›Paper›PMID 35427203›Full record

ArticleExpert review of pharmacoeconomics & outcomes research2022

Effects of utilization management on health outcomes: evidence from urinary tract infections and community-acquired pneumonia.

Martin Andersen, Anurag Pant

Open access · greenAbstract read
In one paragraph

Article in Expert review of pharmacoeconomics & outcomes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Martin AndersenDepartment of Economics, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID 0000-0001-5982-2541
Anurag PantDepartment of Economics, University of North Carolina at Greensboro, Greensboro, NC, USA.ORCID 0000-0003-3110-0795
University of North Carolina at Greensboro · US

Funding

Utilization Management in the Medicare Part D ProgramR21AG058132 · NIA · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI ANDERSEN, MARTIN S · 2018 to 2019
$218k
NIA NIH HHS R21 AG058132
6 · The paper itself

Abstract

backgroundUtilization management policies are pervasive in the Medicare Part D program. We assess the effect of utilization management restrictions in the Medicare Part D program on the quality of care in two clinical areas - community-acquired pneumonia (CAP) and urinary tract infections (UTI).

methodsIn this study, we identified new cases of CAP and UTI from Medicare claims data from 2010 to 2016. We assessed the relationship between exposure to utilization management for antibiotic medications suitable for treating these conditions and adverse health outcomes, based on the Agency for Healthcare Research and Quality prevention quality indicators.

resultsWe identified 147,526 cases of CAP and 632,407 UTI cases in our data. In these samples, the adverse event rate varied from 3.6 to 5.7%. The probability of an adverse event increased by 0.75 (p = 0.061) percentage points for each ten percentage point increase in exposure to quantity limits (one form of utilization management) among people with CAP. There was no relationship between utilization management and adverse events in the UTI cohort.

conclusionsIn some circumstances, exposure to utilization management policies-particularly quantity limits-may adversely affect health.

Indexed as

Community-Acquired InfectionsPneumoniaUrinary Tract InfectionsAgedAnti-Bacterial AgentsHumansMedicareUnited StatesAnti-Bacterial AgentsAntibiotic prescribingpneumoniaurinary tract infectionsutilization management

Identifiers

PMID35427203
PMCPMC9463087
OpenAlexW4224071678

What OpenQuestion holds

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Registered trials

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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.