Evidence map›Paper›PMID 33141411›Full record

SynthesisPharmaceutical medicine2020

Risk Minimisation Evaluation with Process Indicators and Behavioural or Health Outcomes in Europe: Systematic Review.

Esther Artime, Nawab Qizilbash, Rafael Herruzo, Macarena Garrido-Estepa

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Pharmaceutical medicine, 2020. 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
–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.

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. 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

4 authors.

Esther ArtimeMedicina Preventiva y Salud Pública, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain. estherartfre@gmail.com.ORCID 0000-0003-4294-6462
Nawab QizilbashEpidemiology and Risk Management, Oxon Epidemiology, Madrid, Spain.
Rafael HerruzoMedicina Preventiva y Salud Pública, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
Macarena Garrido-EstepaMinistry of Science and Innovation, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEuropean Pharmacovigilance regulatory guidance recommends the evaluation of additional risk minimisation measures (aRMMs) with process indicators and outcomes. Evaluation of both measures within the same evaluation helps to establish the relationship between the implementation of aRMMs (across process indicators) and the impact on drug safety-related outcomes. The term risk minimisation evaluation (RMEv) was used to describe a study or group of studies that assesses the effectiveness of aRMMs for one specific product.

objectivesThe objective of this systematic review was to describe the characteristics and results of RMEv that include both process indicators and outcomes as well as those of studies that conform the RMEv in Europe.

methodsWe conducted a systematic search in the European Union Register of Post-Authorization Studies, PubMed and grey literature (Google and abstracts of the International Conference on Pharmacoepidemiology and Therapeutic Risk Management) to identify studies that assessed the effectiveness of aRMMs including at least one European country, from 1 January, 2011 to 12 October, 2019. Identified studies linked to one product were considered part of the product RMEv. Only RMEv that included both process indicators and outcomes (behavioural and/or health/safety outcomes) were eligible. Data were abstracted from reports, manuscripts and abstracts.

resultsEighteen of 102 (18%) RMEv had both process indicators and outcomes, and were included in this review. Of the 18 RMEv, ten consisted of one study only, five of two studies, and three of three or more studies. A total of 30 studies were included within the 18 RMEv. The designs of the studies were: 19 (63%) cross-sectional surveys (47% targeted patients and 89% healthcare professionals), 17 (57%) retrospective studies (47% using pre/post approach) and 3 (10%) prospective studies. Nineteen studies included process indicators that were receipt (n = 14), use (n = 12), knowledge (n = 17) and self-reported behaviour (n = 15). Regarding outcomes, 67% of the 18 RMEv evaluated behavioural outcomes and 50% health/safety outcomes. Three of the 18 RMEv evaluated both behavioural and health/safety outcomes. For five RMEv, correlations between process indicators and outcomes were performed, two at the patient level. Results were available for 14 of the 18 RMEv. In healthcare professional surveys, the median percentage was 57% for receipt, 92% for reading, 80% for use, 77% for knowledge and 74% for behaviour. In patient surveys, the median percentage was 56% for receipt, 87% for reading, 65% for use, 47% for knowledge and 69% for behaviour. Knowledge was better in healthcare professionals than patients (p < 0.05). Of the three RMEv with a correlation analysis, only one found a positive trend for a lower occurrence of outcomes as process indicators improved, though this was not statistically significant.

conclusionsA minority of RMEv assessed both process indicators and outcomes. More RMEv require approaches that correlate process indicators and outcomes at the patient level to evaluate more comprehensively the implementation of aRMMs.

Indexed as

AdolescentAdultAgedAged, 80 and overAllied Health PersonnelBehavioral Risk Factor Surveillance SystemCross-Sectional StudiesEuropeEvaluation Studies as TopicHumansKnowledgeMiddle AgedOutcome Assessment, Health CarePharmacoepidemiologyPharmacovigilanceProspective Studies

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Registered trials

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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.