Evidence map›Paper›PMID 16803468›Full record

SynthesisBritish journal of clinical pharmacology2007

Which drugs cause preventable admissions to hospital? A systematic review.

R L Howard, A J Avery, S Slavenburg, S Royal, G Pipe, P Lucassen, M Pirmohamed

3 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 289 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
289citing papers in PubMed, 14 pooled it
–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.

NCT01425502 nacompletednot on this mapstarted 2012, after this paper: background citation

Data-driven Quality Improvement in Primary Care: Cluster Randomised Controlled Trial to Test the Effectiveness of a Multifaceted Intervention in Reducing High Risk Prescribing of Non-steroidal Anti-inflammatory Drugs and Antiplatelet Agents

TypeinterventionalSponsorUniversity of DundeeRan2012 to 2014Enrolled33ConditionsDrug SafetyArmsDQIP Intervention
NCT02986425 nacompletednot on this mapstarted 2016, after this paper: background citation

OPERAM: OPtimising thERapy to Prevent Avoidable Hospital Admissions in the Multimorbid Older People: a Cluster Randomised Controlled Trial

TypeinterventionalSponsorInsel Gruppe AG, University Hospital BernRan2016 to 2019Enrolled2,009Conditions3 or More Chronic Conditions for 6 Months or Longer, 5 or More Regular DrugsArmsSTRIP intervention, Control
NCT03108092 nacompletednot on this mapstarted 2016, after this paper: background citation

Health Economic Evaluation Alongside the OPERAM Trial (OPtimising thERapy to Prevent Avoidable Hospital Admissions in the Multimorbid Older People: a Cluster Randomised Controlled Trial).

TypeinterventionalSponsorInsel Gruppe AG, University Hospital BernRan2016 to 2019Enrolled2,009Conditions3 or More Chronic Conditions for 6 Months or Longer, 5 or More Regular DrugsArmsSTRIP intervention, Control
3 · Its place in the literature

Who cites it

289 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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  6. Development of the Ketamine Side Effect Tool (KSET).Journal of affective disorders · 2020
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  14. Interventions to optimise prescribing for older people in care homes.The Cochrane database of systematic reviews · 2016
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229 more citing papers are in PubMed but not listed here.

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

7 authors.

R L HowardNottingham Primary Care Research Partnership, Broxtowe & Hucknall PCT, Hucknall Health Centre, Nottingham, UK. rachel.howard@broxtowehucknall-pct.nhs.uk
A J Avery
S Slavenburg
S Royal
G Pipe
P Lucassen
M Pirmohamed

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPrevious systematic reviews have found that drug-related morbidity accounts for 4.3% of preventable hospital admissions. None, however, has identified the drugs most commonly responsible for preventable hospital admissions. The aims of this study were to estimate the percentage of preventable drug-related hospital admissions, the most common drug causes of preventable hospital admissions and the most common underlying causes of preventable drug-related admissions.

methodsBibliographic databases and reference lists from eligible articles and study authors were the sources for data. Seventeen prospective observational studies reporting the proportion of preventable drug-related hospital admissions, causative drugs and/or the underlying causes of hospital admissions were selected. Included studies used multiple reviewers and/or explicit criteria to assess causality and preventability of hospital admissions. Two investigators abstracted data from all included studies using a purpose-made data extraction form.

resultsFrom 13 papers the median percentage of preventable drug-related admissions to hospital was 3.7% (range 1.4-15.4). From nine papers the majority (51%) of preventable drug-related admissions involved either antiplatelets (16%), diuretics (16%), nonsteroidal anti-inflammatory drugs (11%) or anticoagulants (8%). From five studies the median proportion of preventable drug-related admissions associated with prescribing problems was 30.6% (range 11.1-41.8), with adherence problems 33.3% (range 20.9-41.7) and with monitoring problems 22.2% (range 0-31.3).

conclusionsFour groups of drugs account for more than 50% of the drug groups associated with preventable drug-related hospital admissions. Concentrating interventions on these drug groups could reduce appreciably the number of preventable drug-related admissions to hospital from primary care.

Indexed as

Drug-Related Side Effects and Adverse ReactionsDrug Utilization ReviewAdolescentAdultAdverse Drug Reaction Reporting SystemsAgedHealth Services ResearchHospitalizationHumansMiddle AgedPrimary Health Care

Identifiers

PMID16803468
PMCPMC2000562

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.