Evidence map›Paper›PMID 10146976›Full record

ReviewPharmacoEconomics1992

Pharmacoeconomic consequences of measurement and modification of hospital drug use.

L L Ioannides-Demos, G M Eckert, A J McLean

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.9field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Drug rationing in a teaching hospital.BMJ (Clinical research ed.) · 1994
    Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. 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 at 2 institutions in 1 country.

L L Ioannides-DemosAlfred Hospital, Prahran, Victoria, Australia.
G M Eckert
A J McLean
The Alfred Hospital · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patterns of drug usage affect hospital-based delivery of healthcare in a variety of ways. Adverse reactions to drugs (ADR) precipitate some 5% of admissions and prejudice the care of some 20% of patients who are in hospital, while inadequate drug therapy prejudices outcomes and prolongs hospital stay. Conversely, appropriate application of drugs can promote recovery and increase the quality of care. Well documented examples include prevention of deep vein thrombosis and postoperative wound infections. Accordingly, optimisation of drug use represents a major quality assurance issue in addition to determining cost-efficiency of healthcare delivery. Drug utilisation review (DUR) requires all elements of the quality assurance process. In practice, therapeutically meaningful and cost-efficient exercises can only be mounted if there is knowledge of the linkage between patterns of drug use and clinical outcomes. These processes of measurement are currently rate-limiting in quality assurance. There are various ways that hospital drug usage can be measured. These range from readily available and relatively cheap quantitative methods to methods requiring the availability of expert staff. There is a sequence of methods involving increasing costs and increasing resource demands yielding increasing detail of information obtained. This sequence commences with pharmacy purchases, followed by pharmacy issues to particular clinical areas, prescription or treatment sheet survey, clinical record review, and finally the reports of trained investigators working in the clinical area. The simpler methods can provide useful information and an efficient basis for choosing and planning definitive studies. Once a category of drug use is appropriately targeted for intervention, drug use can be modified by planned intervention with improvement in clinical outcomes and reduced economic costs in many instances. The intervention strategies to modify drug usage may be classed as re-educative, persuasive, facilitative and power strategies. Other models for implementing behavioural change have been considered, including the impact of trained investigators and the use of online computer prescribing with interactive software with appropriate guidelines. The challenge is to achieve sustained change when interventions are implemented. Cost-efficient quality assurance of drug use is possible with modest resources if outcome-orientated activities are prioritised.

Indexed as

Drug UtilizationEconomics, PharmaceuticalDrug PrescriptionsDrug-Related Side Effects and Adverse ReactionsDrug TherapyForecastingHumansPractice Patterns, Physicians'

Identifiers

PMID10146976
OpenAlexW1998771281

What OpenQuestion holds

Texttitle and abstract
measurements read2
Read underepoch 390

Registered trials

None linked

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.