Evidence map›Paper›PMID 8916701›Full record

ArticleBMJ (Clinical research ed.)1996

Is the ratio of inhaled corticosteroid to bronchodilator a good indicator of the quality of asthma prescribing? Cross sectional study linking prescribing data to data on admissions.

M Shelley, P Croft, S Chapman, C Pantin

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed.

  1. Article
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  6. Medical speciality and pattern of medicines prescription.European journal of clinical pharmacology · 2004
    Article
  7. Article
  8. Article
  9. Practice size: impact on consultation length, workload, and patient assessment of care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2001
    Article
  10. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

M ShelleyIndustrial and Community Health Research Centre, School of Postgraduate Medicine, Keele University, North Staffordshire Medical Institute, Stoke on Trent.
P Croft
S Chapman
C Pantin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the ratio of inhaled corticosteroid to bronchodilator as a measure of the quality of asthma prescribing by general practitioners.

designEcological cross sectional study linking general practitioner asthma prescribing with hospital admission data and a measure of deprivation. SUBJECTS: 11 family health services authorities in the West Midlands region and 99 general practices in North Staffordshire.

main outcome measuresHospital admission rates for asthma; the ratio of inhaled corticosteroid to bronchodilator; and Townsend deprivation scores.

resultsNo overall significant correlation was found between admission rates for asthma and corticosteroid:bronchodilator ratios for family health services authorities (Spearman's rs = -0.109, P = 0.750) or general practices (rs = -0.084, P = 0.407). In deprived family health services authority areas and general practices an inverse non-significant correlation existed between admission rates for asthma and corticosteroid:bronchodilator ratios (rs = -0.300, P = 0.624; rs = -0.218, P = 0.136). In contrast, in more affluent areas and general practices a positive non-significant correlation existed between admission rates and corticosteroid:bronchodilator ratios (rs = 0.371, P = 0.468; rs = 0.038, P = 0.792).

conclusionAlthough the corticosteroid:bronchodilator ratio may be a valid indicator of the quality of prescribing for individual patients with asthma, caution should be applied in interpreting aggregated ratios. Differences in the severity of asthma or the prevalence of chronic obstructive pulmonary disease may explain inconsistent associations between admission rates for asthma and corticosteroid:bronchodilator ratios in family health services authorities and general practices with different deprivation scores.

Indexed as

Administration, InhalationAdrenal Cortex HormonesAsthmaBronchodilator AgentsCross-Sectional StudiesEnglandFamily PracticeHumansPatient AdmissionPractice Patterns, Physicians'Socioeconomic FactorsAdrenal Cortex HormonesBronchodilator Agents

Identifiers

PMID8916701
PMCPMC2352422

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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.