Evidence map›Paper›PMID 35001335›Full record

ArticleIrish journal of medical science2022

Duplication of referral, a tsunami of paper: how much does it cost the Irish health services?

Nicola Walsh, Lisa Malone, Sally Ann Lynch

Abstract read
In one paragraph

Article in Irish journal of medical science, 2022. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Nicola WalshCHI @ Crumlin, Crumlin, Dublin, Ireland. nwalsh4@tcd.ie.ORCID http://orcid.org/0000-0002-0077-3973
Lisa MaloneCHI @ Crumlin, Crumlin, Dublin, Ireland.
Sally Ann LynchCHI @ Crumlin, Crumlin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProlonged waiting lists increase costs as medical problems may become more expensive to fix. There are also hidden financial costs. Irish Clinical Genetic services have long out-patient waiting times. We noticed duplicate referrals (patients on the waiting list) being re-referred because the patient still had not been seen. These re-referrals waste consultant and administrative time, pose a clinical risk by distracting clinician time, and are costly to our health service.

methodsWe prospectively collected duplicate referral data over a 3-month period (1 October 2020-31 January 2021) in order to estimate costs. We costed (1) referring consultant and administrative time; (2) stationary, postage, and storage cost; and (3) receiving consultant and administrative time processing these referrals.

resultsWe noted 82/986 (8%) referrals to our service over the trial period were duplicate. The mean length of time between first and duplicate referral was 306 days. In 35/82 (42.68%), a duplicate referral had already been received (e.g. 3rd or more referral for same patient). In total, we received 132 re-referral letters for 82 patients. Duplicate referrals changed triage outcome in 7/82 (8.54%) cases.

conclusionNational Treatment Purchase Fund data suggests that 271,560 patients are waiting > 12 months for both in- and out-patient public appointments on 1 January 2021. Assuming duplicate referrals are occurring across the Irish health system with equal frequency after 12 months of waiting (8% of total appointments), then we estimate a conservative cost of 757,392 € per quarter to the health service and an annual cost to the HSE of 3,029,568 €.

Indexed as

Referral and ConsultationWaiting ListsAppointments and SchedulesHumansTriageCostDuplicate referralsWaiting list

Identifiers

PMID35001335
PMCPMC8743075

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.