Evidence map›Paper›PMID 23969589›Full record

ArticleMedical care2013

Reasons for not prescribing guideline-recommended medications to adults with heart failure.

Michael A Steinman, Liezel Dimaano, Carolyn A Peterson, Paul A Heidenreich, Sara J Knight, Kathy Z Fung, Peter J Kaboli

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 39 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

7 authors at 4 institutions in 1 country.

Michael A Steinman*Health Services Research and Development Research Enhancement Award Program, San Francisco VA Medical Center †Division of Geriatrics, University of California, San Francisco, CA ‡Department of Psychology, University of Oregon, Eugene, OR §Department of Medicine, Palo Alto VA Health Care System, Stanford University, Stanford, CA ∥Veterans Affairs Office of Research and Development ¶Departments of Psychiatry and Urology, University of California, San Francisco, CA #Comprehensive Access and Delivery Research and Evaluation (CADRE) Center, Iowa City VA Healthcare System **Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA.
Liezel Dimaano
Carolyn A Peterson
Paul A Heidenreich
Sara J Knight
Kathy Z Fung
Peter J Kaboli
Health Services Research & Development · USUniversity of California, San Francisco · USSan Francisco VA Medical Center · USStanford University · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REBECCA L SUDORE · 2013 to 2026
$19.9M
Guideline Adherence in Elders With Multiple ComorbiditiesK23AG030999 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEINMAN, MICHAEL A. · 2008 to 2010
$391k
NIA NIH HHS 1 K23-AG030999NIA NIH HHS K23 AG030999NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

backgroundLittle is known about how often contextual factors such as patient preferences and competing priorities impact prescribing of guideline-recommended medications, or about the extent to which these factors are documented in medical records and available to performance measurement systems.

methodsMixed-methods study of 295 veterans aged 50 years and older in 4 VA health care systems who had systolic heart failure and were not prescribed a β-blocker and/or an angiotensin converting enzyme inhibitor or angiotensin-receptor blocker. Reasons for nontreatment were identified from clinic notes and from interviews with 62 primary care clinicians caring for these patients. These reasons were classified using a published taxonomy.

resultsAmong 295 patients not receiving guideline-recommended drugs for heart failure, chart review identified biomedical reasons for nonprescribing in 42%-58% of patients and contextual reasons in 11%-17%. Clinician interviews identified twice as many reasons for nonprescribing as chart review (mean 1.6 vs. 0.8 reasons per patient, P<0.001). In these interviews, biomedical reasons for nonprescribing were cited in 50%-70% of patients, and contextual reasons in 64%-70%. The most common contextual reasons were comanagement with other clinicians (32%-35% of patients), patient preferences and nonadherence (15%-24%), and clinician belief that the medication is not indicated in the patient (12%-20%).

conclusionsContextual reasons for not prescribing angiotensin converting enzyme inhibitor / angiotensin-receptor blockers and β-blockers are present in two thirds of patients with heart failure who did not receive these medications, yet are poorly documented in medical records. The structure of medical records should be improved to facilitate documentation of contextual reasons for not providing guideline-recommended care.

Indexed as

Guideline AdherenceAdrenergic beta-AntagonistsAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsDrug MonitoringFemaleHeart Failure, SystolicHumansMaleMiddle AgedPatient PreferencePractice Guidelines as TopicPractice Patterns, Physicians'Prescription DrugsAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsPrescription Drugs

Identifiers

PMID23969589
PMCPMC3806480
OpenAlexW2044136105

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.