Evidence map›Paper›PMID 15264378›Full record

ArticleCanadian journal of surgery. Journal canadien de chirurgie2004

Monitoring trends in waiting periods in Canada for elective surgery: validation of a method using administrative data.

Samuel E D Shortt, Ralph A Shaw, David Elliott, William J Mackillop

Abstract readValidation Study
In one paragraph

Article in Canadian journal of surgery. Journal canadien de chirurgie, 2004. 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. Article
  2. Article
  3. Waiting for cancer care: exploiting our national laboratory.Canadian journal of surgery. Journal canadien de chirurgie · 2006
    Article
  4. Wait times: the appropriateness of the methodology and how they affect patients.Canadian journal of surgery. Journal canadien de chirurgie · 2004
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Samuel E D ShorttCentre for Health Services and Policy Research, Queen's University, Kingston, Ont. seds@post.queensu.ca
Ralph A Shaw
David Elliott
William J Mackillop

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProvincial governments require timely, economical methods to monitor surgical waiting periods. Although use of prospective procedure-specific registers would be the ideal method, a less elaborate system has been proposed that is based on physician billing data. This study assessed the validity of using the date of the last service billed prior to surgery as a proxy for the beginning of the post-referral, pre-surgical waiting period.

methodWe examined charts for 31,824 elective surgical encounters between 1992 and 1996 at an Ontario teaching hospital. The date of the last service before surgery (the last billing date) was compared with the date of the consultant's letter indicating a decision to book surgery (i.e., to begin waiting).

resultsSeveral surgical specialties (but excluding cardiac, orthopedic and gynecologic) had a close correlation between the dates of the last pre-surgery visit and those of the actual decision to place the patient on the waiting list. Similar results were found for 12 of 15 individually studied procedures, including some orthopedic and gynecological procedures.

conclusionUsed judiciously, billing data is a timely, inexpensive and generally accurate method by which provincial governments could monitor trends in waiting times for appropriately selected surgical procedures.

Indexed as

Medical AuditWaiting ListsAnalysis of VarianceCanadaCystoscopyDilatation and CurettageElective Surgical ProceduresFemaleHumansHysterectomyInsurance Claim ReportingLaparoscopyMaleProstatectomyVagina

Identifiers

PMID15264378
PMCPMC3211835

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.