Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS project): a survey of general practitioners’ experiences

Abstract Objective We sought to investigate the experiences of general practitioners (GPs) with an electronic decision support tool to reduce inappropriate polypharmacy in older patients (the PRIMA-eDS [Polypharmacy in chronic diseases: Reduction of Inappropriate Medication and Adverse drug events in older populations by electronic Decision Support] tool) in a multinational sample of GPs and to quantify the findings from a prior qualitative study on the PRIMA-eDS-tool. Materials and Methods Alongside the cluster randomized controlled PRIMA-eDS trial, a survey was conducted in all 5 participating study centers (Bolzano, Italy; Manchester, United Kingdom; Salzburg, Austria; Rostock, Germany; and Witten, Germany) between October 2016 and July 2017. Data were analyzed using descriptive statistics and chi-square tests. Results Ninety-one (n = 160) percent of the 176 questionnaires were returned. Thirty-two percent of the respondents reported that they did not cease drugs because of the medication check. The 68% who had discontinued drugs comprise 57% who had stopped on average 1 drug and 11% who had stopped 2 drugs or more per patient. The PRIMA-eDS tool was found to be useful (69%) and the recommendations were found to help to increase awareness (86%). The greatest barrier to implementing deprescribing recommendations was the perceived necessity of the medication (69%). The majority of respondents (65%) would use the electronic medication check in routine practice if it was part of the electronic health record. Conclusions GPs generally viewed the PRIMA-eDS medication check as useful and as informative. Recommendations were not always followed due to various reasons. Many GPs would use the medication check if integrated into the electronic health record.

[1]  Theis Lange,et al.  Pilot Randomized trial of Fibrinogen in Trauma Haemorrhage (PRooF-iTH): study protocol for a randomized controlled trial , 2016, Trials.

[2]  M. Tinetti,et al.  Primary care clinicians' experiences with treatment decision making for older persons with multiple conditions. , 2010, Archives of internal medicine.

[3]  J. D. de Gier,et al.  Medication review and reconciliation with cooperation between pharmacist and general practitioner and the benefit for the patient: a systematic review. , 2012, British journal of clinical pharmacology.

[4]  A. Majeed,et al.  Current and future perspectives on the management of polypharmacy , 2017, BMC Family Practice.

[5]  C. Schoen,et al.  New 2011 survey of patients with complex care needs in eleven countries finds that care is often poorly coordinated. , 2011, Health affairs.

[6]  M. Tinetti,et al.  Views of older adults on patient participation in medication-related decision making , 2006, Journal of General Internal Medicine.

[7]  Ilkka Kunnamo,et al.  Clinical decision support must be useful, functional is not enough: a qualitative study of computer-based clinical decision support in primary care , 2012, BMC Health Services Research.

[8]  Margaret Williamson,et al.  Computerized clinical decision support for prescribing: provision does not guarantee uptake. , 2010, Journal of the American Medical Informatics Association : JAMIA.

[9]  B. Kernot Prescribing in older people. , 2004, Australian family physician.

[10]  K. Cox,et al.  A systematic review of the research on communication between patients and health care professionals about medicines: the consequences for concordance , 2004, Health expectations : an international journal of public participation in health care and health policy.

[11]  M. Wiese,et al.  Patient Barriers to and Enablers of Deprescribing: a Systematic Review , 2013, Drugs & Aging.

[12]  Y. Gustafson,et al.  Potential drug-related problems detected by electronic expert support system: physicians’ views on clinical relevance , 2015, International Journal of Clinical Pharmacy.

[13]  Reamer L. Bushardt,et al.  Polypharmacy: Misleading, but manageable , 2008, Clinical interventions in aging.

[14]  T. Fahey,et al.  A process evaluation of a cluster randomised trial to reduce potentially inappropriate prescribing in older people in primary care (OPTI-SCRIPT study) , 2016, Trials.

[15]  F. Schellevis,et al.  Patient participation in medication reviews is desirable but not evidence‐based: a systematic literature review , 2014, British journal of clinical pharmacology.

[16]  F. Haaijer-Ruskamp,et al.  Deprescribing medication in very elderly patients with multimorbidity: the view of Dutch GPs. A qualitative study , 2012, BMC Family Practice.

[17]  L. Ring,et al.  GPs' perceptions of multiple-medicine use in older patients. , 2010, Journal of evaluation in clinical practice.

[18]  Bruce Guthrie,et al.  The rising tide of polypharmacy and drug-drug interactions: population database analysis 1995–2010 , 2015, BMC Medicine.

[19]  Yolanda V. Martinez,et al.  A set of systematic reviews to help reduce inappropriate prescribing to older people: study protocol , 2017, BMC Geriatrics.

[20]  I. Kunnamo,et al.  Polypharmacy in older patients with chronic diseases: a cross-sectional analysis of factors associated with excessive polypharmacy , 2018, BMC Family Practice.

[21]  J. Long,et al.  A systematic review of the emerging definition of 'deprescribing' with network analysis: implications for future research and clinical practice. , 2015, British journal of clinical pharmacology.

[22]  Andreas Sönnichsen,et al.  Polypharmacy in chronic diseases–Reduction of Inappropriate Medication and Adverse drug events in older populations by electronic Decision Support (PRIMA-eDS): study protocol for a randomized controlled trial , 2016, Trials.

[23]  Chris Salisbury,et al.  Prevalence, Determinants and Patterns of Multimorbidity in Primary Care: A Systematic Review of Observational Studies , 2014, PloS one.

[24]  Gert P. Westert,et al.  Implementation of multiple-domain covering computerized decision support systems in primary care: a focus group study on perceived barriers , 2015, BMC Medical Informatics and Decision Making.

[25]  A. Wu,et al.  Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: implications for pay for performance. , 2005, JAMA.

[26]  J. Browne,et al.  GPs’ perspectives on the management of patients with multimorbidity: systematic review and synthesis of qualitative research , 2013, BMJ Open.

[27]  Marc Berg,et al.  Overriding of drug safety alerts in computerized physician order entry. , 2006, Journal of the American Medical Informatics Association : JAMIA.

[28]  G. Meyer,et al.  The EU(7)-PIM list: a list of potentially inappropriate medications for older people consented by experts from seven European countries , 2015, European Journal of Clinical Pharmacology.

[29]  A. Krumeich,et al.  Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS study): a qualitative study of practical implementation in primary care , 2018, BMC Family Practice.

[30]  D. Mangin,et al.  Challenges and Enablers of Deprescribing: A General Practitioner Perspective , 2016, PloS one.

[31]  K. Lapane,et al.  Alternatives to potentially inappropriate medications for use in e-prescribing software: triggers and treatment algorithms , 2011, Quality and Safety in Health Care.

[32]  I. Scott,et al.  Prescriber barriers and enablers to minimising potentially inappropriate medications in adults: a systematic review and thematic synthesis , 2014, BMJ Open.

[33]  Greg Irving,et al.  International variations in primary care physician consultation time: a systematic review of 67 countries , 2017, BMJ Open.

[34]  V. Rollason,et al.  Reduction of Polypharmacy in the Elderly , 2003, Drugs & aging.

[35]  T. Moger,et al.  Polypharmacy as commonly defined is an indicator of limited value in the assessment of drug-related problems. , 2007, British journal of clinical pharmacology.

[36]  H. Chandler Database , 1985 .

[37]  Robyn Tamblyn,et al.  A randomized trial of the effectiveness of on-demand versus computer-triggered drug decision support in primary care. , 2008, Journal of the American Medical Informatics Association : JAMIA.