Evidence map›Paper›PMID 29066168›Full record

ArticleHealthcare (Amsterdam, Netherlands)2018

Patterns and predictors of physician adoption of new cardiovascular drugs.

Timothy S Anderson, Wei-Hsuan Lo-Ciganic, Walid F Gellad, Rouxin Zhang, Haiden A Huskamp, Niteesh K Choudhry, Chung-Chou H Chang, Seth Richards-Shubik, Hasan Guclu, Bobby Jones and 1 more

Abstract read
In one paragraph

Article in Healthcare (Amsterdam, Netherlands), 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.

  1. Pooled it
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  4. Prescriber Uptake and Use of Novel Lipid-Lowering Therapies.Journal of the American Heart Association · 2025
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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

11 authors.

Timothy S AndersonDivision of General Internal Medicine, University of California, San Francisco, USA.
Wei-Hsuan Lo-CiganicDepartment of Pharmacy, Practice and Science, College of Pharmacy University of Arizona, USA.
Walid F GelladDivision of General Internal Medicine at University of Pittsburgh School of Medicine; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, USA.
Rouxin ZhangDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, 130 DeSoto Street, Crabtree Hall A613, Pittsburgh, PA 15261, USA.
Haiden A HuskampDepartment of Health Care Policy, Harvard Medical School, USA.
Niteesh K ChoudhryDivision of Pharmacoepidemiology and Pharmacoeconomics and Center for Healthcare Deliver Sciences, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA.
Chung-Chou H ChangDivision of General Internal Medicine at University of Pittsburgh School of Medicine, USA.
Seth Richards-ShubikCollege of Business and Economics, Lehigh University, USA.
Hasan GucluDepartment of Statistics, School of Engineering and Natural Sciences, Istanbul Medeniyet University, Istanbul, Turkey.
Bobby JonesDepartment of Psychiatry, University of Pittsburgh Medical Center, USA.
Julie M DonohueDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, 130 DeSoto Street, Crabtree Hall A613, Pittsburgh, PA 15261, USA. Electronic address: jdonohue@pitt.edu.

Funding

The Role of Physician Networks in the Adoption of New Prescription Drugs.R01HL119246 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONOHUE, JULIE MARIE · 2013 to 2016
$3.0M
NHLBI NIH HHS R01 HL119246
6 · The paper itself

Abstract

backgroundLittle is known about physicians' approaches to adopting new cardiovascular drugs and how adoption varies between drugs of differing novelty.

methodsUsing data on dispensed prescriptions from IMS Health's Xponent™ database, we created a cohort of all primary care physicians (PCPs) and cardiologists in Pennsylvania who regularly prescribed anticoagulants, antihypertensives and statins from 2007 to 2011. We examined prescribing of three new cardiovascular drugs of differing novelty: dabigatran, aliskiren and pitavastatin. Outcomes were rapid adoption of each new drug, defined by early and sustained monthly prescribing detected by group-based trajectory models, by physicians within the first 15 months of marketplace introduction.

results5953 physicians regularly prescribed each drug class. The majority of physicians (63.8%) adopted zero new drugs in the first 15 months, 35.0% rapidly adopted one or two, and 1.2% rapidly adopted all three. Physicians were more likely to rapidly adopt the most novel drug, dabigatran (27.3%), than aliskiren (10.5%) or pitavastatin (8.0%). Physician specialty and sex were the most consistent predictors of adoption. Compared to PCPs, cardiologists were more likely to rapidly adopt dabigatran (Adjusted Odds Ratio 8.90, 95% confidence interval 7.42-10.67; P<0.001) aliskerin (2.05, CI 1.56-2.69; P<0.001) and pitavastatin (3.44, CI 2.60-4.57; P<0.001). Female physicians were less likely to adopt dabigatran (0.71, CI 0.59-0.85; P <0.001) and aliskiren (0.64, CI 0.49-0.83; P <0.001).

conclusionsPhysicians vary in their prescribing of recently-introduced cardiovascular drugs. Though most physicians did not rapidly adopt any new cardiovascular drugs, drug novelty and cardiology training were associated with greater adoption.

Indexed as

AdultAnticoagulantsAntihypertensive AgentsCardiovascular AgentsCohort StudiesDrug PrescriptionsFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedPennsylvaniaPhysiciansPractice Patterns, Physicians'AnticoagulantsAntihypertensive AgentsCardiovascular AgentsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID29066168
PMCPMC5910251

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.