Cited by 77Patient Safety and Medication ErrorsPharmacovigilance and Adverse Drug ReactionsHospital Admissions and Outcomes

Setting priorities for patient safety

Open access
Runciman, W B·2002·Quality and Safety in Health Care

Abstract

BACKGROUND: Current "flags" for adverse events (AEs) are biased towards those with serious outcomes, potentially leading to failure to address mundane common problems. AIM: To provide a basis for setting priorities to improve patient safety by ranking adverse events by resource consumption as well as by outcome. This was done by classifying a set of AEs, according to how they may be prevented, into "Principal Natural Categories" (PNCs). SETTING: AEs associated with a representative sample of admissions to Australian acute care hospitals. DESIGN: AEs were classified into PNCs which were ranked by overall frequency, an index of resource consumption (a function of mean extended hospital stay and the number of cases in each PNC), and severity of outcome. RESULTS: The 1712 AEs analysed fell into 581 PNCs; only 28% had more than two cases. Most resource use (60%) was by AEs which led to minor disabilities, 36% was by those which led to major disabilities, and 4% by those associated with death. Most of the events with serious outcomes fell into fewer than 50 PNCs; only seven of these PNCs had more than six cases resulting in serious outcomes. CONCLUSIONS: If interventions for AEs are triggered only by serious outcomes by, for example, using recommended risk scoring methods, most problems would not be addressed, particularly the large number of mundane problems which consume the majority of resources. Both serious and mundane problems should be addressed. Most types of events occur too infrequently to be characterised at a hospital level and require large scale (preferably national) collections of incidents and events.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/qhc.11.3.224

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Wilson RMcL, Runciman WB, Gibberd RW, et al. The Quality in Australian Healthcare Study. Med J Aust 1995;163:458-71.
  2. Runciman WB, Webb RK, Helps SC, et al. A comparison of iatrogenic injury studies in Australia and America. 2: A review of behaviour and quality of care. Int J Qual Health Care 1999;12:379-88.
  3. Bates DW, Spell N, Cullen DJ, et al. The costs of adverse drug events in hospitalised patients. JAMA 1997;227:307-11.

Cited by

Sorted by citations

Authors
Runciman, W. B.
Affiliations
Royal Adelaide Hospital (AU)
Corresponding author
Runciman, W B
Venue
Quality and Safety in Health Care
Publisher
BMJ
Published
2002-09-01
Volume
11
Issue
3
Pages
224-229
ISSN
  • 1475-3898 (ISSN-L)
  • 1475-3901
OpenAlex
W2115473915
Cited by
77
References
15
Citations by year
2025: 1 · 2024: 2 · 2023: 3 · 2020: 2 · 2019: 4 · 2017: 2 · 2016: 1 · 2015: 8 · 2014: 2 · 2013: 6 · 2012: 4
FWCI
7.04
Type
journal article
Language
en
Open access
Locations
  • BMJ Quality & Safety (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
Topics
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
  • Health Sciences › Medicine › Emergency Medicine › Hospital Admissions and Outcomes
Keywords
patient safety, adverse events, priority setting, resource consumption, adverse event classification, length of hospital stay, outcome severity, risk scoring, incident reporting, acute care hospitals
MeSH terms
Australia, Health Priorities, Hospital Administration, Humans, Iatrogenic Disease, Quality Assurance, Health Care, Health Care Rationing, Hospital Mortality, Outcome Assessment, Health Care, Safety Management, Risk Assessment, Medical Errors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review