Evidence map›Paper›PMID 9229062›Full record

ArticleJournal of epidemiology and community health1997

Profiling outpatient workload: practice variations between consultant firms and hospitals in south west England.

A C Faulkner, I M Harvey, T J Peters, D J Sharp, S J Frankel

Open access · bronzeAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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

5 authors at 1 institution in 1 country.

A C FaulknerDepartment of Social Medicine, University of Bristol.
I M Harvey
T J Peters
D J Sharp
S J Frankel
University of Bristol · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the variation in outpatient new to old ratios between consultants and between providers for seven high volume specialties (four surgical, three medical).

designThis was a descriptive study at consultant and provider unit level based upon patient administration system data from the South and West Regional Health Authority for the financial year 1992-93. Additional components of variance analysis was used to distinguish individual consultant effects from host institution effects.

settingThe former South Western Regional Health Authority area from Gloucestershire to Cornwall. SUBJECTS: Altogether 345 consultant firms in seven specialties grouped into 13 provider unit groups. MAIN MEASURES: New to old ratio, omitting elective inpatients followed up as outpatients.

resultsVariation between consultants is greater in surgical than in medical specialties, while absolute levels of new to old ratios tend to be higher in surgical specialties than in medical. Variation between provider unit groups is also greater in surgical specialties. Analysis of variance shows that more total variance is attributable to provider unit group in gynaecology than in other specialties.

conclusionsWithin individual specialties there is evidence of substantial variation that is not attributable to underlying differences in morbidity patterns. There is evidence of marked variation in terms of both individual consultants and institutions, a finding that provides the springboard for further analytical work. Published routine outpatient activity statistics should distinguish between new referrals, inpatient follow up, and clinic rebookings.

Indexed as

Analysis of VarianceConsultantsEnglandHumansMedicineOutpatient Clinics, HospitalReferral and ConsultationSpecializationSpecialties, SurgicalWorkload

Identifiers

PMID9229062
PMCPMC1060478
OpenAlexW2010124169

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.