Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis
Tools to accurately predict and detect adverse drug reactions (ADR) in elderly patients have not been developed. We aimed to identify and evaluate reports on tools that predict and detect ADR in elderly patients (≥ 60 years). In this review, we followed the Preferred Reporting Items for Systematic R...
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id-langga.1234132023-04-14T03:26:53Z https://repository.unair.ac.id/123413/ Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis Dewi Susanti Atmaja, - Yulistiani, - Suharjono, - Elida Zairina, - R Medicine RS Pharmacy and materia medica RS1-441 Pharmacy and materia medica RS200-201 Pharmaceutical dosage forms Tools to accurately predict and detect adverse drug reactions (ADR) in elderly patients have not been developed. We aimed to identify and evaluate reports on tools that predict and detect ADR in elderly patients (≥ 60 years). In this review, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Databases were searched until January 2022 using key terms “elderly,” “adverse drug reaction,” and “detection instruments.” Eighteen studies met the inclusion criteria, and they examined assorted interventions: STOPP/START version 1/2 (n = 10), Beers Criteria 2012 or 2015 (n = 4), Systematic Tool to Reduce Inappropriate Prescribing (STRIP) (n = 2), Tool to Reduce Inappropriate Medications (TRIM) (n = 1), Medication Risk Score (MERIS) (n = 1), Computerized alert systems (n = 1), and Norwegian General Practice-Nursing Home criteria (n = 1). The interventions affected the number of potential prescription omissions (OR, 0.50 [0.37–0.69]; p < 0.0001; four studies). No apparent reduction in the number of drug interactions within 2 months (OR, 0.84 [0.70–1.02]; p = 0.08; two studies) and mortality (OR, 0.92 [0.76–1.12]; p = 0.41; three studies) was observed. In conclusion, there is no definitive and validated assessment tool for detecting and predicting ADR in elderly patients. Thus, more research on refining existing tools or developing new ones is warranted. Springer Nature 2022-08-01 Article PeerReviewed text en https://repository.unair.ac.id/123413/1/C.08%20%20Web%20Journal.pdf text en https://repository.unair.ac.id/123413/3/C08.%20Kualitas%20Karil.pdf text en https://repository.unair.ac.id/123413/2/C.08%20TURNITIN.pdf text en https://repository.unair.ac.id/123413/4/C.08.%20Correspondency.pdf Dewi Susanti Atmaja, - and Yulistiani, - and Suharjono, - and Elida Zairina, - (2022) Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis. Scientific Reports, 12 (13189). pp. 1-10. ISSN 2045-2322 https://www.nature.com/articles/s41598-022-17410-w https://doi.org/10.1038/s41598-022-17410-w |
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R Medicine RS Pharmacy and materia medica RS1-441 Pharmacy and materia medica RS200-201 Pharmaceutical dosage forms Dewi Susanti Atmaja, - Yulistiani, - Suharjono, - Elida Zairina, - Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
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Tools to accurately predict and detect adverse drug reactions (ADR) in elderly patients have not been developed. We aimed to identify and evaluate reports on tools that predict and detect ADR in elderly patients (≥ 60 years). In this review, we followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Databases were searched until January 2022 using key terms “elderly,” “adverse drug reaction,” and “detection instruments.” Eighteen studies met the inclusion criteria, and they examined assorted interventions: STOPP/START version 1/2 (n = 10), Beers Criteria 2012 or 2015 (n = 4), Systematic Tool to Reduce Inappropriate Prescribing (STRIP) (n = 2), Tool to Reduce Inappropriate Medications (TRIM) (n = 1), Medication Risk Score (MERIS) (n = 1), Computerized alert systems (n = 1), and Norwegian General Practice-Nursing Home criteria (n = 1). The interventions affected the number of potential prescription omissions (OR, 0.50 [0.37–0.69]; p < 0.0001; four studies). No apparent reduction in the number of drug interactions within 2 months (OR, 0.84 [0.70–1.02]; p = 0.08; two studies) and mortality (OR, 0.92 [0.76–1.12]; p = 0.41; three studies) was observed. In conclusion, there is no definitive and validated assessment tool for detecting and predicting ADR in elderly patients. Thus, more research on refining existing tools or developing new ones is warranted. |
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Article PeerReviewed |
author |
Dewi Susanti Atmaja, - Yulistiani, - Suharjono, - Elida Zairina, - |
author_facet |
Dewi Susanti Atmaja, - Yulistiani, - Suharjono, - Elida Zairina, - |
author_sort |
Dewi Susanti Atmaja, - |
title |
Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
title_short |
Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
title_full |
Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
title_fullStr |
Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
title_full_unstemmed |
Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
title_sort |
detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis |
publisher |
Springer Nature |
publishDate |
2022 |
url |
https://repository.unair.ac.id/123413/1/C.08%20%20Web%20Journal.pdf https://repository.unair.ac.id/123413/3/C08.%20Kualitas%20Karil.pdf https://repository.unair.ac.id/123413/2/C.08%20TURNITIN.pdf https://repository.unair.ac.id/123413/4/C.08.%20Correspondency.pdf https://repository.unair.ac.id/123413/ https://www.nature.com/articles/s41598-022-17410-w https://doi.org/10.1038/s41598-022-17410-w |
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