Impact of a Clinical Decision Support System on the Efficiency and Effectiveness of Performing Medication Reviews in Community Pharmacies: A Randomized Controlled Trial

被引:0
|
作者
Dabidian, Armin [1 ]
Kinny, Florian [1 ]
Steichert, Melina [1 ]
Schlottau, Sabina [1 ]
Bartel, Anke [1 ]
Schwender, Holger [2 ]
Laeer, Stephanie [1 ]
机构
[1] Heinrich Heine Univ Dusseldorf, Inst Clin Pharm & Pharmacotherapy, Univ Str 1, D-40225 Dusseldorf, Germany
[2] Heinrich Heine Univ Dusseldorf, Math Inst, Univ Str 1, D-40225 Dusseldorf, Germany
关键词
clinical decision support system (CDSS); medication review (MR); community pharmacy; pharmacists; medication safety; medication therapy management; eHealth; OLDER-ADULTS; POLYPHARMACY; PREVALENCE; HEALTH;
D O I
10.3390/healthcare12232491
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Clinical decision support systems (CDSSs) already support community pharmacists in conducting medication reviews (MRs) by identifying important information on interactions and suggesting clinical solutions. However, their impact in terms of quality and time savings is widely unexplored. The aim of our study was to investigate whether MRs are performed faster and better with or without using a CDSS. Methods: In a randomized controlled study with a cross-over design, 71 pharmacists performed a total of four MRs, two with and two without the use of a CDSS. The primary endpoint was defined as the time required for the MRs. The secondary endpoints were the number of predefined relevant drug-related problems (DRPs) detected and pharmacist satisfaction. Results: Without the use of a CDSS, pharmacists needed between 25.7% and 30.7% more time to perform a MR than with a CDSS. In addition, significantly more relevant DRPs were detected in the MRs with CDSS than without CDSS (70% vs. 50%; p = 0.0037). Furthermore, participants stated that they felt more confident using a CDSS for MRs than without. Conclusions: Our results demonstrate that MRs can be performed both faster and better when using a CDSS than without. Consequently, community pharmacists benefit from the use of CDSSs for MRs, as do patients in terms of their drug therapy safety.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] A Randomized Controlled Trial of an Electronic Clinical Decision Support Tool for Inpatient Antimicrobial Stewardship
    Ridgway, Jessica P.
    Robicsek, Ari
    Shah, Nirav
    Smith, Becky A.
    Singh, Kamaljit
    Semel, Jeffery
    Acree, Mary Ellen
    Grant, Jennifer
    Ravichandran, Urmila
    Peterson, Lance R.
    CLINICAL INFECTIOUS DISEASES, 2021, 72 (09) : E265 - E271
  • [32] The effectiveness of optimised clinical medication reviews for geriatric patients: Opti-Meda cluster randomised controlled trial
    Willeboordse, Floor
    Schellevis, Francois G.
    Chau, Sek Hung
    Hugtenburg, Jacqueline G.
    Elders, Petra J. M.
    FAMILY PRACTICE, 2017, 34 (04) : 437 - 445
  • [33] Efficacy of a Clinical Decision-Support System in an HIV Practice A Randomized Trial
    Robbins, Gregory K.
    Lester, William
    Johnson, Kristin L.
    Chang, Yuchiao
    Estey, Gregory
    Surrao, Dominic
    Zachary, Kimon
    Lammert, Sara M.
    Chueh, Henry C.
    Meigs, James B.
    Freedberg, Kenneth A.
    ANNALS OF INTERNAL MEDICINE, 2012, 157 (11) : 757 - +
  • [34] Effectiveness of a Hospital-Based Computerized Decision Support System on Clinician Recommendations and Patient Outcomes A Randomized Clinical Trial
    Moja, Lorenzo
    Friz, Hernan Polo
    Capobussi, Matteo
    Kwag, Koren
    Banzi, Rita
    Ruggiero, Francesca
    Gonzalez-Lorenzo, Marien
    Liberati, Elisa G.
    Mangia, Massimo
    Nyberg, Peter
    Kunnamo, Ilkka
    Cimminiello, Claudio
    Vighi, Giuseppe
    Grimshaw, Jeremy M.
    Delgrossi, Giovanni
    Bonovas, Stefanos
    JAMA NETWORK OPEN, 2019, 2 (12)
  • [35] Impact of a Prediabetes Clinical Decision Support System on CV Risk Factor Control in Primary Care: Randomized Trial
    Desai, Jay R.
    Crain, A. Lauren
    Saman, Daniel
    Sperl-Hillen, Joann M.
    Allen, Clayton
    Waring, Stephen
    Ohnsorg, Kris
    Appana, Deepika
    Dehmer, Steven P.
    Ekstrom, Heidi
    O'Connor, Patrick J.
    DIABETES, 2021, 70
  • [36] Clinical impact of pharmacogenetic profiling with a clinical decision support tool in polypharmacy home health patients: A prospective pilot randomized controlled trial
    Elliott, Lindsay S.
    Henderson, John C.
    Neradilek, Moni B.
    Moyer, Nicolas A.
    Ashcraft, Kristine C.
    Thirumaran, Ranjit K.
    PLOS ONE, 2017, 12 (02):
  • [37] BC Clinical impact of medication reviews with follow-up in cardiovascular older patients in primary care: A cluster-randomized controlled trial
    Martinez-Mardones, Francisco
    Benrimoj, Shalom I.
    Ahumada-Canale, Antonio
    Plaza-Plaza, Jose C.
    Garcia-Cardenas, Victoria
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2023, 89 (07) : 2131 - 2143
  • [38] Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial
    O'Connor, Patrick J.
    Sperl-Hillen, JoAnn M.
    Rush, William A.
    Johnson, Paul E.
    Amundson, Gerald H.
    Asche, Stephen E.
    Ekstrom, Heidi L.
    Gilmer, Todd P.
    ANNALS OF FAMILY MEDICINE, 2011, 9 (01) : 12 - 21
  • [39] Diagnostic accuracy in Family Medicine residents using a clinical decision support system (DXplain): a randomized-controlled trial
    Israel Martinez-Franco, Adrian
    Sanchez-Mendiola, Melchor
    Jose Mazon-Ramirez, Juan
    Hernandez-Torres, Isaias
    Rivero-Lopez, Carlos
    Spicer, Troy
    Martinez-Gonzalez, Adrian
    DIAGNOSIS, 2018, 5 (02) : 71 - 76
  • [40] Randomized controlled trial evaluating the benefit of the app-based clinical decision support system for the management of venous thromboembolism
    Chairat, Pajaree
    Niprapan, Piangrawee
    Hantrakun, Nonthakorn
    Tantiworawit, Adisak
    Punnachet, Teerachat
    Piriyakhuntorn, Pokpong
    Rattanathammethee, Thanawat
    Hantrakool, Sasinee
    Rattarittamrong, Ekarat
    Norasetthada, Lalita
    Chai-Adisaksopha, Chatree
    BMC MEDICAL EDUCATION, 2025, 25 (01)