Evidence map›Paper›PMID 1316721›Full record

Trial reportAmerican journal of public health1992

Improving referral compliance after public cholesterol screening.

L A Maiman, N G Hildreth, C Cox, P Greenland

Abstract readClinical TrialRandomized Controlled Trial
In one paragraph

Trial report in American journal of public health, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. 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

4 authors.

L A MaimanUniversity of Rochester School of Medicine and Dentistry, NY.
N G Hildreth
C Cox
P Greenland

Funding

INTERVENTION STRATEGIES TO IMPROVE MATERNAL ADHERENCEK04HD000538 · NICHD · UNIVERSITY OF ROCHESTER · PI MAIMAN, LOIS A · 1985 to 1987
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PREVENTIVE CARDIOLOGY ACADEMIC AWARDK07HL000982 · NHLBI · UNIVERSITY OF ROCHESTER · PI GREENLAND, PHILIP · 1985 to 1987
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MODEL CHOLESTEROL SCREENING IN AN URBAN COMMUNITYR01HL037895 · NHLBI · UNIVERSITY OF ROCHESTER · PI GREENLAND, PHILIP · 1986 to 1988
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NHLBI NIH HHS HL00982NHLBI NIH HHS HL37895NICHD NIH HHS HD00538
6 · The paper itself

Abstract

backgroundNoncompliance with referral to a physician for retesting and diagnosis is a concern in public cholesterol screening.

methodsParticipants (n = 2109) were referred by a health professional or lay communicator and randomly assigned to a coupon offer, referral reminder letter, or control group. A questionnaire was completed at screening, and a telephone interview was conducted 5 months later.

resultsPhysician visit rates showed no professional or lay differences. For "no history" subjects, the behavioral interventions were effective compared with controls (coupon = 60.7% and reminder = 57.7% vs control = 46.1%). With professional counseling, only the coupon was effective; for lay counseling, both coupon and reminder yielded higher visit rates. Adjusted for sociodemographics, heart disease risk factors, and health perceptions, the intervention effects remained (professional-coupon offer: odds ratio [OR] = 1.94, 95% confidence interval [CI] = 1.21, 3.09; professional-reminder letter: OR = 1.04, 95% CI = 0.67, 1.63; lay-coupon offer: OR = 2.52, 95% CI = 1.52, 4.18; and lay-reminder letter: OR = 3.10, 95% CI = 1.83, 5.22).

conclusionsFor unaware participants, lay counselors and referral follow-up efforts tailored to specific cholesterol risk groups are indicated.

Indexed as

Mass ScreeningPatient ComplianceAdultAftercareAgedCounselingFemaleHealth Services ResearchHumansHypercholesterolemiaMaleMiddle AgedNew YorkOutcome Assessment, Health CareProgram EvaluationReferral and Consultation

Identifiers

PMID1316721
PMCPMC1694199

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.