Evidence map›Paper›PMID 37362384›Full record

ArticleJournal of the Endocrine Society2023

Development and Validation of Quality Measures for Testosterone Prescribing.

Ann M Borzecki, Jennifer Conti, Joel I Reisman, Varsha Vimalananda, Michael W Nagy, Radhika Paluri, Amy M Linsky, Megan McCullough, Shalender Bhasin, Alvin M Matsumoto and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 6 institutions in 1 country.

Ann M BorzeckiCenter for Healthcare Organization & Implementation Research, Bedford Site, VA Bedford Healthcare System, Bedford, MA 01730, USA.ORCID https://orcid.org/0000-0003-1894-1274
Jennifer ContiCenter for Healthcare Organization & Implementation Research, Bedford Site, VA Bedford Healthcare System, Bedford, MA 01730, USA.
Joel I ReismanCenter for Healthcare Organization & Implementation Research, Bedford Site, VA Bedford Healthcare System, Bedford, MA 01730, USA.
Varsha VimalanandaCenter for Healthcare Organization & Implementation Research, Bedford Site, VA Bedford Healthcare System, Bedford, MA 01730, USA.
Michael W NagyClinical Sciences Department, Medical College of Wisconsin, School of Pharmacy, Milwaukee, WI 53226, USA.
Radhika PaluriVA Bedford Healthcare System, Bedford, MA 01730, USA.
Amy M LinskySection of General Internal Medicine, Boston University School of Medicine, Boston, MA 02118, USA.
Megan McCulloughCenter for Healthcare Organization & Implementation Research, Bedford Site, VA Bedford Healthcare System, Bedford, MA 01730, USA.
Shalender BhasinResearch Program in Men's Health, Aging and Metabolism, Boston Claude D. Pepper Older Americans Independence Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Alvin M MatsumotoGeriatric Research, Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA 98108, USA.
Guneet K JasujaCenter for Healthcare Organization & Implementation Research, Bedford Site, VA Bedford Healthcare System, Bedford, MA 01730, USA.
Boston University · USBrigham and Women's Hospital · USMedical College of Wisconsin · USUniversity of Massachusetts Lowell · USUniversity of Washington · USVA New England Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Accurate measures to assess appropriateness of testosterone prescribing are needed to improve prescribing practices. Objective: This work aimed to develop and validate quality measures around the initiation and monitoring of testosterone prescribing. Methods: This retrospective cohort study comprised a national cohort of male patients receiving care in the Veterans Health Administration who initiated testosterone during January or February 2020. Using laboratory data and diagnostic codes, we developed 9 initiation and 7 monitoring measures. These were based on the current Endocrine Society guidelines supplemented by expert opinion and prior work. We chose measures that could be operationalized using national VA electronic health record (EHR) data. We assessed criterion validity for these 16 measures by manual review of 142 charts. Main outcome measures included positive and negative predictive values (PPVs, NPVs), overall accuracy (OA), and Matthews Correlation Coefficients (MCCs). Results: We found high PPVs (>78%), NPVs (>98%), OA (≥94%), and MCCs (>0.85) for the 10 measures based on laboratory data (5 initiation and 5 monitoring). For the 6 measures relying on diagnostic codes, we similarly found high NPVs (100%) and OAs (≥98%). However, PPVs for measures of acute conditions occurring before testosterone initiation (ie, acute myocardial infarction or stroke) or new conditions occurring after initiation (ie, prostate or breast cancer) PPVs were much lower (0% to 50%) due to few or no cases. Conclusion: We developed several valid EHR-based quality measures for assessing testosterone-prescribing practices. Deployment of these measures in health care systems can facilitate identification of quality gaps in testosterone-prescribing and improve care of men with hypogonadism.

Indexed as

electronic health recordsprescribingquality measurestestosterone

Identifiers

PMID37362384
PMCPMC10289518
OpenAlexW4380576104

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.