ArticlePharmacoEconomics2014
Cost effectiveness of a pharmacist-led information technology intervention for reducing rates of clinically important errors in medicines management in general practices (PINCER).
Article in PharmacoEconomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Economic Evaluations of Medication Safety Interventions in Primary and Long-Term Care: A Systematic Review.PharmacoEconomics · 2026Pooled it
- Digital Health Technology Interventions for Improving Medication Safety: Systematic Review of Economic Evaluations.Journal of medical Internet research · 2025Pooled it
- Professional, structural and organisational interventions in primary care for reducing medication errors.The Cochrane database of systematic reviews · 2017Pooled it
- Trial
- Review
- Barriers and facilitators to antidepressant deprescribing - A qualitative interview study with general practitioners in Germany.The European journal of general practice · 2025Article
- Adoption of clinical pharmacist roles in primary care: longitudinal evidence from English general practice.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Article
- Estimating the economic effect of harm associated with high risk prescribing of oral non-steroidal anti-inflammatory drugs in England: population based cohort and economic modelling study.BMJ (Clinical research ed.) · 2024Article
- Implementation of an audit and feedback module targeting low-value clinical practices in a provincial trauma quality assurance program: a cost-effectiveness study.BMC health services research · 2024Article
- Review
- Economic evaluation of a collaborative model of pharmaceutical care in an Irish hospital: cost-utility analysis.HRB open research · 2023Article
- Scaling-up a pharmacist-led information technology intervention (PINCER) to reduce hazardous prescribing in general practices: Multiple interrupted time series study.PLoS medicine · 2022Observational
- Article
- Exploring the challenges to safer prescribing and medication monitoring in prisons: A qualitative study with health care staff.PloS one · 2022Article
- Article
- Improving Transplant Medication Safety Through a Technology and Pharmacist Intervention (ISTEP): Protocol for a Cluster Randomized Controlled Trial.JMIR research protocols · 2019Article
- Article
- The Rise of Patient Safety-II: Should We Give Up Hope on Safety-I and Extracting Value From Patient Safety Incidents? Comment on "False Dawns and New Horizons in Patient Safety Research and Practice".International journal of health policy and management · 2018Article
- 'The big buzz': a qualitative study of how safe care is perceived, understood and improved in general practice.BMC family practice · 2018Article
- Cost Effectiveness of Support for People Starting a New Medication for a Long-Term Condition Through Community Pharmacies: An Economic Evaluation of the New Medicine Service (NMS) Compared with Normal Practice.PharmacoEconomics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
BACKGROUND AND
objectiveWe recently showed that a pharmacist-led information technology-based intervention (PINCER) was significantly more effective in reducing medication errors in general practices than providing simple feedback on errors, with cost per error avoided at £79 (US$131). We aimed to estimate cost effectiveness of the PINCER intervention by combining effectiveness in error reduction and intervention costs with the effect of the individual errors on patient outcomes and healthcare costs, to estimate the effect on costs and QALYs.
methodsWe developed Markov models for each of six medication errors targeted by PINCER. Clinical event probability, treatment pathway, resource use and costs were extracted from literature and costing tariffs. A composite probabilistic model combined patient-level error models with practice-level error rates and intervention costs from the trial. Cost per extra QALY and cost-effectiveness acceptability curves were generated from the perspective of NHS England, with a 5-year time horizon.
resultsThe PINCER intervention generated £2,679 less cost and 0.81 more QALYs per practice [incremental cost-effectiveness ratio (ICER): -£3,037 per QALY] in the deterministic analysis. In the probabilistic analysis, PINCER generated 0.001 extra QALYs per practice compared with simple feedback, at £4.20 less per practice. Despite this extremely small set of differences in costs and outcomes, PINCER dominated simple feedback with a mean ICER of -£3,936 (standard error £2,970). At a ceiling 'willingness-to-pay' of £20,000/QALY, PINCER reaches 59 % probability of being cost effective.
conclusionsPINCER produced marginal health gain at slightly reduced overall cost. Results are uncertain due to the poor quality of data to inform the effect of avoiding errors.
Indexed as
Identifiers
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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.