Literature DB >> 30181862

Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review.

Ian A Scott1, Peter I Pillans2, Michael Barras3, Christopher Morris4.   

Abstract

Prescribing of potentially inappropriate medications (PIMs) that pose more risk than benefit in older patients is a common occurrence across all healthcare settings. Reducing such prescribing has been challenging despite multiple interventions, including educational campaigns, audits and feedback, geriatrician assessment and formulary restrictions. With the increasing uptake of electronic medical records (EMRs) across hospitals, clinics and residential aged care facilities (RACFs), integrated with computerized physician order entry (CPOE) and e-prescribing, opportunities exist for incorporating clinical decision support systems (CDSS) into EMR at the point of care. This narrative review assessed the process and outcomes of using EMR-enabled CDSS to reduce the prescribing of PIMs. We searched PubMed for relevant articles published up to January 2018 and focused on those that described EMR-enabled CDSS that assisted prescribers to make changes at the time of ordering PIMs in adults. Computerized systems offering only medication reconciliation, dose checks, monitoring for medication errors, or basic formulary information were not included. In addition to outcome measures of medication-related processes and adverse drug events, qualitative data relating to factors that influence effectiveness of EMR-enabled CDSS were also gathered from selected studies. We analysed 20 studies comprising 10 randomized trials and 10 observational studies performed in hospitals (n = 8), ambulatory care clinics (n = 9) and RACFs (n = 3). Studies varied in patient populations (although most involved older patients), type of CDSS, method of linkage with EMR, study designs and outcome measures. However, assuming little publication bias, the totality of evidence favoured EMR-enabled CDSS as being effective in reducing the prescribing of PIMs in hospitals, although results were more mixed for ambulatory care settings and RACFs. While absolute effects in most positive studies were modest, they suggest EMR-enabled CDSS are feasible and acceptable to clinicians, and if certain design features are adhered to, there is potential for even greater impact.

Entities:  

Keywords:  clinical decision support systems; computerized physician order; deprescribing; electronic medical record; potentially inappropriate medications

Year:  2018        PMID: 30181862      PMCID: PMC6116772          DOI: 10.1177/2042098618784809

Source DB:  PubMed          Journal:  Ther Adv Drug Saf        ISSN: 2042-0986


  67 in total

1.  Clinical decision support in electronic prescribing: recommendations and an action plan: report of the joint clinical decision support workgroup.

Authors:  Jonathan M Teich; Jerome A Osheroff; Eric A Pifer; Dean F Sittig; Robert A Jenders
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

2.  The use of health information technology in seven nations.

Authors:  Ashish K Jha; David Doolan; Daniel Grandt; Tim Scott; David W Bates
Journal:  Int J Med Inform       Date:  2008-07-25       Impact factor: 4.046

3.  Thinking through the medication list - appropriate prescribing and deprescribing in robust and frail older patients.

Authors:  Sarah N Hilmer; Danijela Gnjidic; David G Le Couteur
Journal:  Aust Fam Physician       Date:  2012-12

4.  A national census of medicines use: a 24-hour snapshot of Australians aged 50 years and older.

Authors:  Tessa K Morgan; Margaret Williamson; Marie Pirotta; Kay Stewart; Stephen P Myers; Joanne Barnes
Journal:  Med J Aust       Date:  2012-01-16       Impact factor: 7.738

5.  Use of a computer-based reminder to improve sedative-hypnotic prescribing in older hospitalized patients.

Authors:  Joseph V Agostini; Ying Zhang; Sharon K Inouye
Journal:  J Am Geriatr Soc       Date:  2007-01       Impact factor: 5.562

6.  Tiering drug-drug interaction alerts by severity increases compliance rates.

Authors:  Marilyn D Paterno; Saverio M Maviglia; Paul N Gorman; Diane L Seger; Eileen Yoshida; Andrew C Seger; David W Bates; Tejal K Gandhi
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

7.  Inappropriate medication use as a risk factor for self-reported adverse drug effects in older adults.

Authors:  Elizabeth A Chrischilles; Rachel VanGilder; Kara Wright; Michael Kelly; Robert B Wallace
Journal:  J Am Geriatr Soc       Date:  2009-06       Impact factor: 5.562

Review 8.  Interventions to improve the appropriate use of polypharmacy for older people.

Authors:  Susan M Patterson; Cathal A Cadogan; Ngaire Kerse; Chris R Cardwell; Marie C Bradley; Cristin Ryan; Carmel Hughes
Journal:  Cochrane Database Syst Rev       Date:  2014-10-07

9.  Computerized Decision Support Improves Medication Review Effectiveness: An Experiment Evaluating the STRIP Assistant's Usability.

Authors:  Michiel C Meulendijk; Marco R Spruit; A Clara Drenth-van Maanen; Mattijs E Numans; Sjaak Brinkkemper; Paul A F Jansen; Wilma Knol
Journal:  Drugs Aging       Date:  2015-06       Impact factor: 3.923

10.  Using an Electronic Decision Support Tool to Reduce Inappropriate Polypharmacy and Optimize Medicines: Rationale and Methods.

Authors:  Amber Young; June Tordoff; Susan Dovey; David Reith; Hywel Lloyd; Murray Tilyard; Alesha Smith
Journal:  JMIR Res Protoc       Date:  2016-06-10
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  21 in total

Review 1.  Use of Evidence-Based Herbal Medicines for Patients with Functional Gastrointestinal Disorders: A Conceptional Framework for Risk-Benefit Assessment and Regulatory Approaches.

Authors:  Gerald Holtmann; Dietmar Schrenk; Ahmed Madisch; Hans D Allescher; Gudrun Ulrich-Merzenich; Fermin Mearin; Dominique Larrey; Peter Malfertheiner
Journal:  Dig Dis       Date:  2019-11-26       Impact factor: 2.404

2.  Artificial Intelligence and Personalized Medicine.

Authors:  Nicholas J Schork
Journal:  Cancer Treat Res       Date:  2019

Review 3.  A systems approach to identifying the challenges of implementing deprescribing in older adults across different health-care settings and countries: a narrative review.

Authors:  Mouna Sawan; Emily Reeve; Justin Turner; Adam Todd; Michael A Steinman; Mirko Petrovic; Danijela Gnjidic
Journal:  Expert Rev Clin Pharmacol       Date:  2020-02-27       Impact factor: 5.045

4.  End-users feedback and perceptions associated with the implementation of a clinical-rule based Check of Medication Appropriateness service.

Authors:  Charlotte Quintens; Willy E Peetermans; Lorenz Van der Linden; Peter Declercq; Bart Van den Bosch; Isabel Spriet
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-05       Impact factor: 3.298

5.  Use of an Electronic Medication Management Support System in Patients with Polypharmacy in General Practice: A Quantitative Process Evaluation of the AdAM Trial.

Authors:  Robin Brünn; Dorothea Lemke; Jale Basten; Petra Kellermann-Mühlhoff; Juliane Köberlein-Neu; Christiane Muth; Marjan van den Akker
Journal:  Pharmaceuticals (Basel)       Date:  2022-06-17

6.  The impact of a multifaceted intervention to reduce potentially inappropriate prescribing among discharged older adults: a before-and-after study.

Authors:  Muhammad Eid Akkawi; Mohamad Haniki Nik Mohamed; Mohd Aznan Md Aris
Journal:  J Pharm Policy Pract       Date:  2020-07-17

7.  Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems.

Authors:  Young-Taek Park; Yeon Sook Kim; Byoung-Kee Yi; Sang Mi Kim
Journal:  Healthc Inform Res       Date:  2019-04-30

8.  'Optimising PharmacoTherapy In the multimorbid elderly in primary CAre' (OPTICA) to improve medication appropriateness: study protocol of a cluster randomised controlled trial.

Authors:  Katharina Tabea Jungo; Zsofia Rozsnyai; Sophie Mantelli; Carmen Floriani; Axel Lennart Löwe; Fanny Lindemann; Nathalie Schwab; Rahel Meier; Lamia Elloumi; Corlina Johanna Alida Huibers; Bastiaan Theodoor Gerard Marie Sallevelt; Michiel C Meulendijk; Emily Reeve; Martin Feller; Claudio Schneider; Heinz Bhend; Pius M Bürki; S Trelle; Marco Spruit; Matthias Schwenkglenks; Nicolas Rodondi; Sven Streit
Journal:  BMJ Open       Date:  2019-09-03       Impact factor: 2.692

9.  Delivering the right information to the right person at the right time to facilitate deprescribing in hospital: a mixed methods multisite study to inform decision support design in Australia.

Authors:  Melissa T Baysari; Mai Duong; Wu Yi Zheng; Amy Nguyen; Sarita Lo; Brendan Ng; Angus Ritchie; David Le Couteur; Andrew McLachlan; Alexandra Bennett; Sarah Hilmer
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

Review 10.  Intervention elements to reduce inappropriate prescribing for older adults with multimorbidity receiving outpatient care: a scoping review.

Authors:  Jia Qi Lee; Kate Ying; Penny Lun; Keng Teng Tan; Wendy Ang; Yasmin Munro; Yew Yoong Ding
Journal:  BMJ Open       Date:  2020-08-20       Impact factor: 2.692

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