The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Evaluation of patient reporting of adverse drug reactions to the UK ‘Yellow Card Scheme’: literature review, descriptive and qualitative analyses, and questionnaire surveys
Open accessAbstract
BACKGROUND: The monitoring of adverse drug reactions (ADRs) through pharmacovigilance is vital to patient safety. Spontaneous reporting of ADRs is one method of pharmacovigilance, and in the UK this is undertaken through the Yellow Card Scheme (YCS). Yellow Card reports are submitted to the Medicines and Healthcare products Regulatory Agency (MHRA) by post, telephone or via the internet. The MHRA electronically records and reviews information submitted so that important safety issues can be detected. While previous studies have shown differences between patient and health-care professional (HCP) reports for the types of drugs and reactions reported, relatively little is known about the pharmacovigilance impact of patient reports. There have also been few studies on the views and experiences of patients/consumers on the reporting of suspected ADRs. OBJECTIVES: To evaluate the pharmacovigilance impact of patient reporting of ADRs by analysing reports of suspected ADRs from the UK YCS and comparing reports from patients and HCPs. To elicit the views and experiences of patients and the public about patient reporting of ADRs. DESIGN: (1) Literature review and survey of international experiences of consumer reporting of ADRs; (2) descriptive analysis of Yellow Card reports; (3) signal generation analysis of Yellow Card reports; (4) qualitative analysis of Yellow Card reports; (5) questionnaire survey of patients reporting on Yellow Cards; (6) qualitative analysis of telephone interviews with patient reporters to the scheme; (7) qualitative analysis of focus groups and usability testing of the patient YCS; and (8) national omnibus telephone survey of public awareness of the YCS. PARTICIPANTS: Patients (n = 5180) and HCPs (n = 20,949) submitting Yellow Card reports from October 2005 to September 2007. Respondents to questionnaire survey (n = 1362). Participants at focus groups and usability testing sessions (n = 40). National omnibus telephone survey (n = 2028). SETTING: The literature review included studies in English from across the world. All other components included populations from the UK; the omnibus survey was restricted to Great Britain. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Characteristics of patient reports: types of drug and suspected ADR reported; seriousness of reports; and content of reports. The relative contributions of patient reports and of HCP reports to signal generation. Views and experiences of patient reporters. Views of members of the public about the YCS, including user-friendliness and usability of different ways of patient reporting. Public awareness of the YCS. Suggestions for improving patient reporting to the YCS. RESULTS: Compared with HCPs, patient reports to the YCS contained a higher median number of suspected ADRs per report, and described reactions in more detail. The proportions of reports categorised as 'serious' were similar; the patterns of drugs and reactions reported differed. Patient reports were richer in their descriptions of reactions than those from HCPs, and more often noted the effects of ADRs on patients' lives. Combining patient and HCP reports generated more potential signals than HCP reports alone; some potential signals in the 'HCP-only' data set were lost when combined with patient reports, but fewer than those gained; the addition of patient reports to HCP reports identified 47 new 'serious' reactions not previously included in 'Summaries of Product Characteristics'. Most patient reporters found it fairly easy to make reports, although improvements to the scheme were suggested, including greater publicity and the redesign of web- and paper-based reporting systems. Among members of the public, 8.5% were aware of the YCS in 2009. CONCLUSIONS: Patient reporting of suspected ADRs has the potential to add value to pharmacovigilance by reporting types of drugs and reactions different from those reported by HCPs; generating new potential signals; and describing suspected ADRs in enough detail to provide useful information on likely causality and impact on patients' lives. These findings suggest that further promotion of patient reporting to the YCS is justified, along with improvements to existing reporting systems. In order of priority, future work should include further investigation of (1) the pharmacovigilance impact of patient reporting in a longer-term study; (2) the optimum approach to signal generation analysis of patient and HCP reports; (3) the burden of ADRs in terms of impact on patients' lives; (4) the knowledge and attitudes of HCPs towards patient reporting of ADRs; (5) the value of using patient reports of ADRs to help other patients and HCPs who are seeking information on patient experiences of ADRs; and (6) the impact of increasing publicity and/or enhancements to reporting systems on the numbers and types of Yellow Card reports from patients. FUNDING: The National Institute for Health Research Health Technology Assessment programme.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A method for estimating the probability of adverse drug reactions
Naranjo, C. A., Busto, U., Sellers, E. M., Sandor, P., Ruiz, I., Roberts, E. A., Janecek, E., Domecq, C., & Greenblatt, D. J. (1981) · Clinical Pharmacology and Therapeutics · doi:10.1038/clpt.1981.154 · Cited by 11,914
Patient care information systems and health care work: a sociotechnical approach
Berg, M. (1999) · International Journal of Medical Informatics · doi:10.1016/s1386-5056(99)00011-8 · Cited by 786
The Missing Voice of Patients in Drug-Safety Reporting
Basch, E. (2010) · New England Journal of Medicine · doi:10.1056/nejmp0911494 · Cited by 646
Fromme, E. K., Eilers, K. M., Mori, M., Hsieh, Y.-C., & Beer, T. M. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.03.025 · Cited by 555
Cited by
Onakpoya, I. J., Heneghan, C. J., & Aronson, J. K. (2016) · BMC Medicine · doi:10.1186/s12916-016-0553-2 · Cited by 616
Coleman, J. J., & Pontefract, S. K. (2016) · Clinical Medicine · doi:10.7861/clinmedicine.16-5-481 · Cited by 399
McKeown, L., Taylor, R. W., Day, E., Shah, R., Marwood, L., Tee, H., Kerr-Gaffney, J., Oprea, E., Geddes, J. R., McAllister-Williams, R. H., et al. (2022) · Journal of Psychopharmacology · doi:10.1177/02698811221089042 · Cited by 12
Psychiatric effects of drugs for other disorders
Parker, C. (2016) · Medicine · doi:10.1016/j.mpmed.2016.09.011 · Cited by 11
Metadata
- Authors
- Avery, A., Anderson, C., Bond, C., Fortnum, H., Gifford, A., Hannaford, P., Hazell, L., Krska, J., Lee, A., McLernon, D., Murphy, E., Shakir, S., & Watson, M.
- Venue
- Health Technology Assessment
- Published
- 2011-05
- Volume
- 15
- Issue
- 20
- Pages
- 1-234, iii
- ISSN
- 1366-5278 (ISSN-L)
- 2046-4924
- OpenAlex
- W1979812611
- Cited by
- 331
- References
- 4
- FWCI
- 27.86
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evaluation of patient reporting of adverse drug reactions to the UK ‘Yellow Card Scheme’: literature review, descriptive and qualitative analyses, and questionnaire surveys. https://app.cochat.ai/papers/10.3310/hta15200
- The paper
- Avery, A., Anderson, C., Bond, C., Fortnum, H., Gifford, A., Hannaford, P., Hazell, L., Krska, J., Lee, A., McLernon, D., Murphy, E., Shakir, S., & Watson, M. (2011). Evaluation of patient reporting of adverse drug reactions to the UK ‘Yellow Card Scheme’: literature review, descriptive and qualitative analyses, and questionnaire surveys. Health Technology Assessment. https://doi.org/10.3310/hta15200
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.