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The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial
BACKGROUND: To evaluate the effectiveness of a structured prescription review and prescriber feedback program in reducing prescribing errors in government primary care clinics within an administrative region in Malaysia. METHODS: This was a three group, pragmatic, cluster randomised trial. In phase...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053727/ https://www.ncbi.nlm.nih.gov/pubmed/30025534 http://dx.doi.org/10.1186/s12875-018-0808-4 |
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author | Lim, Wei Yin HSS, Amar Singh Ng, Li Meng John Jasudass, Selva Rani Sararaks, Sondi Vengadasalam, Paranthaman Hashim, Lina Praim Singh, Ranjit Kaur |
author_facet | Lim, Wei Yin HSS, Amar Singh Ng, Li Meng John Jasudass, Selva Rani Sararaks, Sondi Vengadasalam, Paranthaman Hashim, Lina Praim Singh, Ranjit Kaur |
author_sort | Lim, Wei Yin |
collection | PubMed |
description | BACKGROUND: To evaluate the effectiveness of a structured prescription review and prescriber feedback program in reducing prescribing errors in government primary care clinics within an administrative region in Malaysia. METHODS: This was a three group, pragmatic, cluster randomised trial. In phase 1, we randomised 51 clinics to a full intervention group (prescription review and league tables plus authorised feedback letter), a partial intervention group (prescription review and league tables), and a control group (prescription review only). Prescribers in these clinics were the target of our intervention. Prescription reviews were performed by pharmacists; 20 handwritten prescriptions per prescriber were consecutively screened on a random day each month, and errors identified were recorded in a standardised data collection form. Prescribing performance feedback was conducted at the completion of each prescription review cycle. League tables benchmark prescribing errors across clinics and individual prescribers, while the authorised feedback letter detailed prescribing performance based on a rating scale. In phase 2, all clinics received the full intervention. Pharmacists were trained on data collection, and all data were audited by researchers as an implementation fidelity strategy. The primary outcome, percentage of prescriptions with at least one error, was displayed in p-charts to enable group comparison. RESULTS: A total of 32,200 prescriptions were reviewed. In the full intervention group, error reduction occurred gradually and was sustained throughout the 8-month study period. The process mean error rate of 40.7% (95% CI 27.4, 29.5%) in phase 1 reduced to 28.4% (95% CI 27.4, 29.5%) in phase 2. In the partial intervention group, error reduction was not well sustained and showed a seasonal pattern with larger process variability. The phase 1 error rate averaging 57.9% (95% CI 56.5, 59.3%) reduced to 44.8% (95% CI 43.3, 46.4%) in phase 2. There was no evidence of improvement in the control group, with phase 1 and phase 2 error rates averaging 41.1% (95% CI 39.6, 42.6%) and 39.3% (95% CI 37.8, 40.9%) respectively. CONCLUSIONS: The rate of prescribing errors in primary care settings is high, and routine prescriber feedback comprising league tables and a feedback letter can effectively reduce prescribing errors. TRIAL REGISTRATION: National Medical Research Register: NMRR-12-108-11,289 (5th March 2012). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12875-018-0808-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6053727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60537272018-07-23 The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial Lim, Wei Yin HSS, Amar Singh Ng, Li Meng John Jasudass, Selva Rani Sararaks, Sondi Vengadasalam, Paranthaman Hashim, Lina Praim Singh, Ranjit Kaur BMC Fam Pract Research Article BACKGROUND: To evaluate the effectiveness of a structured prescription review and prescriber feedback program in reducing prescribing errors in government primary care clinics within an administrative region in Malaysia. METHODS: This was a three group, pragmatic, cluster randomised trial. In phase 1, we randomised 51 clinics to a full intervention group (prescription review and league tables plus authorised feedback letter), a partial intervention group (prescription review and league tables), and a control group (prescription review only). Prescribers in these clinics were the target of our intervention. Prescription reviews were performed by pharmacists; 20 handwritten prescriptions per prescriber were consecutively screened on a random day each month, and errors identified were recorded in a standardised data collection form. Prescribing performance feedback was conducted at the completion of each prescription review cycle. League tables benchmark prescribing errors across clinics and individual prescribers, while the authorised feedback letter detailed prescribing performance based on a rating scale. In phase 2, all clinics received the full intervention. Pharmacists were trained on data collection, and all data were audited by researchers as an implementation fidelity strategy. The primary outcome, percentage of prescriptions with at least one error, was displayed in p-charts to enable group comparison. RESULTS: A total of 32,200 prescriptions were reviewed. In the full intervention group, error reduction occurred gradually and was sustained throughout the 8-month study period. The process mean error rate of 40.7% (95% CI 27.4, 29.5%) in phase 1 reduced to 28.4% (95% CI 27.4, 29.5%) in phase 2. In the partial intervention group, error reduction was not well sustained and showed a seasonal pattern with larger process variability. The phase 1 error rate averaging 57.9% (95% CI 56.5, 59.3%) reduced to 44.8% (95% CI 43.3, 46.4%) in phase 2. There was no evidence of improvement in the control group, with phase 1 and phase 2 error rates averaging 41.1% (95% CI 39.6, 42.6%) and 39.3% (95% CI 37.8, 40.9%) respectively. CONCLUSIONS: The rate of prescribing errors in primary care settings is high, and routine prescriber feedback comprising league tables and a feedback letter can effectively reduce prescribing errors. TRIAL REGISTRATION: National Medical Research Register: NMRR-12-108-11,289 (5th March 2012). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12875-018-0808-4) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-19 /pmc/articles/PMC6053727/ /pubmed/30025534 http://dx.doi.org/10.1186/s12875-018-0808-4 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lim, Wei Yin HSS, Amar Singh Ng, Li Meng John Jasudass, Selva Rani Sararaks, Sondi Vengadasalam, Paranthaman Hashim, Lina Praim Singh, Ranjit Kaur The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
title | The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
title_full | The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
title_fullStr | The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
title_full_unstemmed | The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
title_short | The impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
title_sort | impact of a prescription review and prescriber feedback system on prescribing practices in primary care clinics: a cluster randomised trial |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053727/ https://www.ncbi.nlm.nih.gov/pubmed/30025534 http://dx.doi.org/10.1186/s12875-018-0808-4 |
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