Evidence map›Paper›PMID 21753916›Full record

Trial reportJournal of the Medical Library Association : JMLA2011

Evaluating information prescriptions in two clinical environments.

Kathleen Burr Oliver, Harold P Lehmann, Antonio C Wolff, Laurie W Davidson, Pamela K Donohue, Maureen M Gilmore, Catherine Craven, Nancy K Roderer

Erratum issuedAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the Medical Library Association : JMLA, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kathleen Burr OliverNational Network of Libraries of Medicine, Middle Atlantic Region, New York University Langone Medical Center,New York, NY 10010, USA. kate.oliver@med.nyu.edu
Harold P Lehmann
Antonio C Wolff
Laurie W Davidson
Pamela K Donohue
Maureen M Gilmore
Catherine Craven
Nancy K Roderer

Funding

Evaluating Patient Information PrescriptionsR01LM008143 · NLM · JOHNS HOPKINS UNIVERSITY · PI RODERER, NANCY K · 2004 to 2006
$1.1M
NLM NIH HHS 5R01LM008143NLM NIH HHS R01 LM008143
6 · The paper itself

Abstract

objectiveThe research sought to evaluate whether providing personalized information services by libraries can improve satisfaction with information services for specific types of patients.

methodsAdult breast cancer (BrCa) clinic patients and mothers of inpatient neonatal intensive care unit (NICU) patients were randomized to receive routine information services (control) or an IRx intervention.

resultsThe BrCa trial randomized 211 patients and the NICU trial, 88 mothers. The BrCa trial showed no statistically significant differences in satisfaction ratings between the treatment and control groups. The IRx group in the NICU trial reported higher satisfaction than the control group regarding information received about diagnosis, treatments, respiratory tradeoffs, and medication tradeoffs. BrCa patients posed questions to librarians more frequently than did NICU mothers, and a higher percentage reported using the website. Questions asked of the librarians by BrCa patients were predominantly clinical and focused on the areas of treatment and side effects.

conclusionsStudy results provide some evidence to support further efforts to both implement information prescription projects in selected settings and to conduct additional research on the costs and benefits of services.

Indexed as

Access to InformationLibraries, MedicalPatient SatisfactionBreast NeoplasmsFemaleHumansIntensive Care Units, NeonatalMothersPatient Education as Topic

Identifiers

PMID21753916
PMCPMC3133905

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.