Evidence map›Paper›PMID 35105580›Full record

ArticleBMJ open2022

Eliciting willingness-to-pay to prevent hospital medication administration errors in the UK: a contingent valuation survey.

Sarah R Hill, Nawaraj Bhattarai, Clare L Tolley, Sarah P Slight, Luke Vale

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Sarah R HillHealth Economics Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK Sarah.Hill2@newcastle.ac.uk.ORCID 0000-0002-5408-2473
Nawaraj BhattaraiHealth Economics Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Clare L TolleySchool of Pharmacy, Newcastle University, Newcastle upon Tyne, UK.
Sarah P SlightSchool of Pharmacy, Newcastle University, Newcastle upon Tyne, UK.
Luke ValeHealth Economics Group, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Newcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication errors are common in hospitals. These errors can result in adverse drug events (ADEs), which can reduce the health and well-being of patients', and their relatives and caregivers. Interventions have been developed to reduce medication errors, including those that occur at the administration stage.

objectiveWe aimed to elicit willingness-to-pay (WTP) values to prevent hospital medication administration errors. DESIGN AND

settingAn online, contingent valuation (CV) survey was conducted, using the random card-sort elicitation method, to elicit WTP to prevent medication errors.

participantsA representative sample of the UK public.

methodsSeven medication error scenarios, varying in the potential for harm and the severity of harm, were valued. Scenarios were developed with input from: clinical experts, focus groups with members of the public and piloting. Mean and median WTP values were calculated, excluding protest responses or those that failed a logic test. A two-part model (logit, generalised linear model) regression analysis was conducted to explore predictive characteristics of WTP.

resultsResponses were collected from 1001 individuals. The proportion of respondents willing to pay to prevent a medication error increased as the severity of the ADE increased and was highest for scenarios that described actual harm occurring. Mean WTP across the scenarios ranged from £45 (95% CI £36 to £54) to £278 (95% CI £200 to £355). Several factors influenced both the value and likelihood of WTP, such as: income, known experience of medication errors, sex, field of work, marriage status, education level and employment status. Predictors of WTP were not, however, consistent across scenarios.

conclusionsThis CV study highlights how the UK public value preventing medication errors. The findings from this study could be used to carry out a cost-benefit analysis which could inform implementation decisions on the use of technology to reduce medication administration errors in UK hospitals.

Indexed as

HospitalsIncomeCost-Benefit AnalysisHumansSurveys and QuestionnairesUnited Kingdomhealth economicshealth policyhealth & safety

Identifiers

PMID35105580
PMCPMC8808384
OpenAlexW4210559430

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.