Evidence map›Paper›PMID 29773491›Full record

ArticleAmerican journal of preventive medicine2018

Association Between Number of Preventive Care Guidelines and Preventive Care Utilization by Patients.

Glen B Taksler, Elizabeth R Pfoh, Kurt C Stange, Michael B Rothberg

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Sex and income inequalities in preventive services in diabetes.The European journal of general practice · 2023
    Article
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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

4 authors at 2 institutions in 1 country.

Glen B TakslerMedicine Institute, Cleveland Clinic, Cleveland, Ohio. Electronic address: taksleg@ccf.org.
Elizabeth R PfohMedicine Institute, Cleveland Clinic, Cleveland, Ohio.
Kurt C StangeDepartment of Family Medicine and Community Health, Case Western Reserve University, Cleveland, Ohio.
Michael B RothbergMedicine Institute, Cleveland Clinic, Cleveland, Ohio.
Cleveland Clinic · USCase Western Reserve University · US

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Individualizing Disease Prevention for Middle-Aged AdultsR21AG052849 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI TAKSLER, GLEN · 2017 to 2018
$457k
NCATS NIH HHS KL2 TR000440NIA NIH HHS R21 AG052849
6 · The paper itself

Abstract

introductionThe number of preventive care guidelines is rapidly increasing. It is unknown whether the number of guideline-recommended preventive services is associated with utilization.

methodsThe authors used Poisson regression of 390,778 person-years of electronic medical records data from 2008 to 2015, in 80,773 individuals aged 50-75 years. Analyses considered eligibility for 11 preventive services most closely associated with guidelines: tobacco cessation; control of obesity, hypertension, lipids, or blood glucose; influenza vaccination; and screening for breast, cervical, or colorectal cancers, abdominal aortic aneurysm, or osteoporosis. The outcome was the rate of preventive care utilization over the following year. Results were adjusted for demographics and stratified by the number of disease risk factors (smoking, obesity, hypertension, hyperlipidemia, diabetes). Data were collected in 2016 and analyzed in 2017.

resultsPreventive care utilization was lower when the number of guideline-recommended preventive services was higher. The adjusted rate of preventive care utilization decreased from 38.67 per 100 (95% CI=38.16, 39.18) in patients eligible for one guideline-recommended service to 31.59 per 100 (95% CI=31.29, 31.89) in patients eligible for two services and 25.43 per 100 (95% CI=24.68, 26.18) in patients eligible for six or more services (p-trend<0.001). Results were robust to disease risk factors and observed for all but two services (tobacco cessation, obesity reduction). However, for any given number of guideline-recommended services, patients with more disease risk factors had higher utilization rates.

conclusionsThe rate of preventive care utilization was lower when the number of guideline-recommended services was higher. Prioritizing recommendations might improve utilization of high-value services.

Indexed as

AdultAgedBreast NeoplasmsColorectal NeoplasmsEarly Detection of CancerElectronic Health RecordsFemaleGuideline AdherenceHealth Services AccessibilityHumansLung NeoplasmsMaleMammographyMiddle AgedObesityOffice Visits

Identifiers

PMID29773491
PMCPMC6014877
OpenAlexW2803810382

What OpenQuestion 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 OpenQuestion graph.