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FEASIBILITY STUDY OF A CLINICAL DECISION SUPPORT SYSTEM FOR POLYMEDICATED PATIENTS IN PRIMARY CARE
  • +11
  • Juan Manuel Pinar Manzanet,
  • Giuseppe Fico,
  • Beatriz Merino-Barbancho,
  • Cecilia Vera-Muñoz,
  • Liss Hernandez,
  • Germán Seara,
  • Macarena Torrego,
  • Henar Gonzalez,
  • Jonas Wastesson,
  • Johan Fastbom,
  • Julio Mayol,
  • Kristina Johnell,
  • Tomás Gómez,
  • María Teresa Arredondo
Juan Manuel Pinar Manzanet
Doctorando en Epidemiología y Salud Pública. Universidad Rey Juan Carlos

Corresponding Author:juanmanuel.pinar@salud.madrid.org

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Giuseppe Fico
Universidad Politécnica de Madrid
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Beatriz Merino-Barbancho
Universidad Politécnica de Madrid
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Cecilia Vera-Muñoz
Universidad Politécnica de Madrid
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Liss Hernandez
Universidad Politécnica de Madrid
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Germán Seara
Hospital Clínico San Carlos
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Macarena Torrego
Hospital Clínico San Carlos
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Henar Gonzalez
Hospital Clínico San Carlos
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Jonas Wastesson
Karolinska Institute
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Johan Fastbom
Karolinska Institute
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Julio Mayol
Hospital Clínico San Carlos
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Kristina Johnell
Karolinska Institute
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Tomás Gómez
Investigación Sanitaria Hospital 12 de Octubre
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María Teresa Arredondo
Universidad Politécnica de Madrid
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Abstract

Drug treatment in elderly patients is a challenge for healthcare systems. This challenge is exacerbated by age-related changes in pharmacokinetics and pharmacodynamics, multimorbidity, frailty and cognitive impairment. Moreover, old patients are commonly exposed to polypharmacy, leading to increased risk of drug interactions, adverse drug reactions, and higher costs for the healthcare systems. Thus, the complex task of prescribing medications to older polymedicated patients encourages the use of Clinical Decision Support Systems (CDSS). This paper evaluates the CDSS miniQ for identifying potentially inappropriate prescribing in older adults with polypharmacy and to assesses the usability and acceptability of miniQ in health care professionals, patients, and caregivers. It describes how useful is CDSS miniQ system for Primary Care physicians, as well as for patients and their caregivers to know their medications. The discussion emphasizes how this system is useful to improve the prescribing process and reduce errors.
14 Nov 2022Submitted to Healthcare Technology Letters
15 Nov 2022Submission Checks Completed
15 Nov 2022Assigned to Editor
18 Nov 2022Reviewer(s) Assigned
17 Feb 2023Review(s) Completed, Editorial Evaluation Pending
21 Feb 2023Editorial Decision: Revise Major
30 Mar 20231st Revision Received
01 Apr 2023Submission Checks Completed
01 Apr 2023Assigned to Editor
03 Apr 2023Reviewer(s) Assigned
17 Apr 2023Review(s) Completed, Editorial Evaluation Pending
18 Apr 2023Editorial Decision: Accept