Evidence map›Paper›PMID 14987492›Full record

ArticleAtencion primaria2004

[Induced prescription from reference hospital Universitari Vall d'Hebron to general practitioners].

E Fernández Liz, D Rodríguez Cumplido, E Diogène Fadini, Grupo de Estudio de la Prescripción Inducida

Abstract readComparative StudyEnglish AbstractMulticenter Study
In one paragraph

Article in Atencion primaria, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

E Fernández LizFarmacéutico, Servei d'Atenció Primaria Nou Barris, Institut Català de la Salut, Chafarinas 2, 08033 Barcelona, Spain. efernandez.pbcn@ics.scs.es
D Rodríguez Cumplido
E Diogène Fadini
Grupo de Estudio de la Prescripción Inducida

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur objectives were to describe proportion of patients with induced prescription (IP) from reference hospital, the information about diagnosis and treatment that GP get as well as their agreement with the prescription. We also analyzed the quality of IP assessed by GP's quality of prescription criteria.

designCross-sectional study.

settingSix urban health care centers.

participantsPatients and drugs prescribed from the reference hospital and derivated to health care center to get treatments. MEASUREMENTS: Origin of patients, diagnosis, treatment and the GP's agreement with it, and whether that information was enough to allow patient's control. MAIN

resultsThirty six GP collected data from 323 patients and 844 drugs from reference hospital. 52% (95% CI, 47-58) of IP came from the emergency room. Medical conditions more frequently associated with IP were chronic obstructive pulmonary disease, lumbosciatica and traumatism. The most prescribed drugs were analgesics and NSAIDs. GP's agreement with IP reached 63% (95% CI, 60-67). Most frequent disagreement cause was drug selection (61 drugs; 7.2% of IP). In some 20% (95% CI, 16-25) of patients information wasn't sufficient enough to assume patient's control.

conclusionsA stronger relation between GP's and hospital doctors would be needed to establish common treatments for patients' frequent conditions and their follow-up.

Indexed as

Practice Patterns, Physicians'AdolescentAdultAgedAged, 80 and overCross-Sectional StudiesDrug PrescriptionsFemaleHumansMaleMedicineMiddle AgedPhysicians, FamilyPrimary Health CareReferral and ConsultationSpain

Identifiers

PMID14987492
PMCPMC7678018

What OpenQuestion holds

Textmetadata
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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.