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Published on: December 11, 2016
Reducing Potentially Inappropriate Prescriptions for Older Patients Using Computerized Decision Support Tools:
Luís Monteiro1,2, Tiago Maricoto3,4, Isabel Solha5
1Esgueira+ Family Health Unit, Aveiro Healthcare Centre, Aveiro, Portugal.
Computerized decision support tools show promise in reducing inappropriate prescriptions for older adults. Further research is needed to confirm their clinical usefulness and impact on patient outcomes.
Area of Science:
- Gerontology
- Health Informatics
- Clinical Pharmacy
Background:
- Older adults are susceptible to polypharmacy and potentially inappropriate medications.
- Computerized decision support tools offer a strategy to mitigate these risks.
Purpose of the Study:
- To systematically review the literature on the effectiveness of computerized decision support tools in reducing potentially inappropriate prescriptions and medications in older adults.
- To assess the impact of these tools on health outcomes in the elderly population.
Main Methods:
- A systematic review of interventional studies was conducted.
- Searches were performed in MEDLINE, CENTRAL, EMBASE, and Web of Science databases.
- Studies published up to February 2018 focusing on individuals aged 65 and older were included.
Main Results:
- 16 studies involving 266,562 participants were included.
- Computerized decision support tools consistently reduced the initiation and mean number of inappropriate prescriptions per patient.
- These tools also improved discontinuation rates and drug appropriateness, though statistical significance varied.
Conclusions:
- Computerized decision support tools may effectively reduce inappropriate prescribing in older adults.
- More randomized controlled trials are necessary to evaluate their clinical utility, impact on adverse drug reactions, and patient/professional satisfaction.
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Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution

