Physicians' use of computerized clinical decision supports to improve medication management in the elderly - the Seniors Medication Alert and Review Technology intervention

Polypharmacy and precision medicine

Precision medicine is an approach to maximise the effectiveness of disease treatment and prevention and minimise harm from medications by considering relevant demographic, clinical, genomic and environmental factors in making treatment decisions. Precision medicine is complex, even for decisions about single drugs for single diseases, as it requires expert consideration of multiple measurable factors that affect pharmacokinetics and pharmacodynamics, and many patient-specific variables. Given the increasing number of patients with multiple conditions and medications, there is a need to apply lessons learned from precision medicine in monotherapy and single disease management to optimise polypharmacy. However, precision medicine for optimisation of polypharmacy is particularly challenging because of the vast number of interacting factors that influence drug use and response. In this narrative review, we aim to provide and apply the latest research findings to achieve precision medicine in the context of polypharmacy. Specifically, this review aims to (1) summarise challenges in achieving precision medicine specific to polypharmacy; (2) synthesise the current approaches to precision medicine in polypharmacy; (3) provide a summary of the literature in the field of prediction of unknown drug-drug interactions (DDI) and (4) propose a novel approach to provide precision medicine for patients with polypharmacy. For our proposed model to be implemented in routine clinical practice, a comprehensive intervention bundle needs to be integrated into the electronic medical record using bioinformatic approaches on a wide range of data to predict the effects of polypharmacy regimens on an individual. In addition, clinicians need to be trained to interpret the results of data from sources including pharmacogenomic testing, DDI prediction and physiological-pharmacokinetic-pharmacodynamic modelling to inform their medication reviews. Future studies are needed to evaluate the efficacy of this model and to test generalisability so that it can be implemented at scale, aiming to improve outcomes in people with polypharmacy.

Barriers and Facilitators to the Use of Clinical Decision Support Systems in Primary Care: A Mixed-Methods Systematic Review

PURPOSE

To identify and quantify the barriers and facilitators to the use of clinical decision support systems (CDSSs) by primary care professionals (PCPs).

METHODS

A mixed-methods systematic review was conducted using a sequential synthesis design. PubMed/MEDLINE, PsycInfo, Embase, CINAHL, and the Cochrane library were searched in July 2021. Studies that evaluated CDSSs providing recommendations to PCPs and intended for use during a consultation were included. We excluded CDSSs used only by patients, described as concepts or prototypes, used with simulated cases, and decision supports not considered as CDSSs. A framework synthesis was performed according to the HOT-fit framework (Human, Organizational, Technology, Net Benefits), then a quantitative synthesis evaluated the impact of the HOT-fit categories on CDSS use.

RESULTS

A total of 48 studies evaluating 45 CDSSs were included, and 186 main barriers or facilitators were identified. Qualitatively, barriers and facilitators were classified as human (eg, perceived usefulness), organizational (eg, disruption of usual workflow), and technological (eg, CDSS user-friendliness), with explanatory elements. The greatest barrier to using CDSSs was an increased workload. Quantitatively, the human and organizational factors had negative impacts on CDSS use, whereas the technological factor had a neutral impact and the net benefits dimension a positive impact.

CONCLUSIONS

Our findings emphasize the need for CDSS developers to better address human and organizational issues, in addition to technological challenges. We inferred core CDSS features covering these 3 factors, expected to improve their usability in primary care.

Decision-support systems for managing polypharmacy in the elderly: A scoping review

Polypharmacy, the consuming of more than five drugs, is a public health problem. It can lead to many interactions and adverse drug reactions and is very expensive. Therapeutic guidelines for managing polypharmacy in the elderly have been issued, but are highly complex, limiting their use. Decision-support systems have therefore been developed to automate the execution of these guidelines, or to provide information about drugs adapted to the context of polypharmacy. These systems differ widely in terms of their technical design, knowledge sources and evaluation methods. We present here a scoping review of electronic systems for supporting the management, by healthcare providers, of polypharmacy in elderly patients. Most existing reviews have focused mainly on evaluation results, whereas the present review also describes the technical design of these systems and the methodologies for developing and evaluating them. A systematic bibliographic search identified 19 systems differing considerably in terms of their technical design (rule-based systems, documentary approach, mixed); outputs (textual report, alerts and/or visual approaches); and evaluations (impact on clinical practices, impact on patient outcomes, efficiency and/or user satisfaction). The evaluations performed are minimal (among all the systems identified, only one system has been evaluated according to all the criteria mentioned above) and no machine learning systems and/or conflict management systems were retrieved. This review highlights the need to develop new methodologies, combining various approaches for decision support system in polypharmacy.

Retrospective study of the prevalence and characteristics of adverse drug events in adults who present to an Australian emergency department

OBJECTIVE

To determine the burden, on the ED, of harm from unintentional adverse drug events (ADEs) in the community.

METHODS

A retrospective, observational study of 936 randomly selected presentations to a level 6 ED at a principal referral hospital in Brisbane, Australia, in November 2017. Clinical records were screened by a pharmacist, who identified suspected ADEs. All suspected ADEs and a random selection of presentations without ADEs were reviewed by an expert panel, which classified, by consensus: occurrence and type of ADE, contribution of ADE to presentation, severity of harm and preventability of presentation. Medication-related ED presentations (ADE-Ps) and potential ADEs were, respectively, defined as presentations directly attributable to an ADE, and medication events that occurred but did not cause the ED presentation. Descriptive data analysis was performed.

RESULTS

The median (interquartile range) age of patients was 40 (27-58) years, with 49.7% (95% confidence interval [CI] 46.5-52.9) being male. The prevalences of ADE-Ps and potential ADEs were 9.2% (95% CI 7.5-11.3) and 5.0% (95% CI 3.8-6.6), respectively. The severity of harm was classified as 'death or likely permanent harm' in 4.7% (95% CI 0.2-9.1) of ADE-Ps, 'temporary harm' (89.5%, 95% CI 83.1-96.0) and 'minimal or no harm' (5.8%, 95% CI 0.9-10.8). Most (79.1%, 95% CI 70.5-87.7) ADE-Ps were preventable.

CONCLUSIONS

There is a high burden on emergency care because of unintended medication harm in the community. Interventions to reduce such harm are likely to require a co-ordinated primary, acute and public healthcare response. The high proportion of presentations with potential ADEs indicates opportunity for harm mitigation in the ED.

Applying action research in pharmacy practice

Medication errors are closely associated with patient safety, as they affect quality of health care. Pharmacists play a key role in preventing such errors to ensure patient safety and enhance pharmacy service quality. Quality improvement has been suggested to be incorporated into daily practice, providing practitioners an opportunity to identify service delivery gaps and configure solutions fitting the context. This paradigm is similar to the concept of action research (AR); therefore, this research approach is deemed appropriate for improving the quality of pharmacy practice. AR is context-specific, dynamic, and systematic and is driven by a spiral process to identify problems, design solutions, and evaluate the impacts of the solution. Since AR uses multiple methods, including a spiral process, confusion may arise among practicing pharmacists and novice researchers interested in using it. This paper aims to describe key information regarding AR, including its brief history and definition, spiral process, and research methods used for data collection, key characteristics, and common limitations to help readers understand the AR protocol.

Polypharmacy Management in Older Patients

Medications to treat disease and extend life in our patients often amass in quantities, resulting in what has been termed "polypharmacy." This imprecise label usually describes the accumulation of 5, and often more, medications. Polypharmacy in advancing age frequently results in drug therapy problems related to interactions, drug toxicity, falls with injury, delirium, and nonadherence. Polypharmacy is associated with resulting increased hospitalizations and higher costs of care for individuals and health care systems. To reduce polypharmacy, we delineate a systematic, consultative approach to identify highest-risk medications and drug-therapy problems. We address strategic reductions (deprescribing) of medications in palliative care, long-term care, and ambulatory older adults. Best practices for reducing opioids, benzodiazepines, and other high-risk medications include education about risk and agreement by patients and their families, advocates, and care teams. Addressing deprescribing should be within the framework of patients' health status as their care and goals transition from longevity to a plan of maintaining alertness, comfort, and satisfaction of quality of life. A team approach to address polypharmacy and avoidance of high-risk therapy is optimal within long-term care. Patients with terminal illnesses or those moving toward a comfort-care emphasis benefit from medication adjustments that are recognized beneficially within each patient's care goals. In caring for older adults, the acknowledgement that complicated regimens and high-risk medications requires a care plan to reduce or prevent medication-related problems and costs that are associated with polypharmacy.

The FORTA (Fit fOR The Aged)-EPI (Epidemiological) Algorithm: Application of an Information Technology Tool for the Epidemiological Assessment of Drug Treatment in Older People

BACKGROUND

To improve drug treatment in older people, who often present with multimorbidity and related polypharmacy, the FORTA (Fit fOR The Aged) List was developed via a Delphi consensus procedure. As a patient-in-focus listing approach (PILA), it has been clinically validated (VALFORTA trial). Unlike drug-oriented listing approaches (DOLAs), its application requires knowledge of patients' characteristics, including diagnoses and other details. As a drug list with discrete labels, application of FORTA seems particularly amenable to electronic support.

METHODS

An information technology (IT) algorithm was developed to analyze bulk data on International Classification of Diseases (ICD)-coded diseases and Anatomical Therapeutic Chemical (ATC)-coded drugs. FORTA-labeled diagnoses and drugs were used to compute the FORTA score, an automatically generated score that describes medication quality by adding up points assigned for errors related to over- and under-treatment. The algorithm detects mismatches between diagnoses and drugs, suboptimal drugs, omitted drugs, and deficient medication escalation schemes. The read-out produces explanations for each error point.

RESULTS

A total of 5603 and 7954 patients ≥ 65 years were included from two claims datasets (> 30,000 patients each, public health insurance). The FORTA scores were comparable (mean ± standard deviation 4.29 ± 3.37 vs. 4.17 ± 3.16), and similar to that determined in VALFORTA (pre-intervention 3.5 ± 2.7). Under-treatment was two times more prevalent than over-treatment. The main areas of under-treatment were pain, type 2 diabetes mellitus, and depression, and the main areas of over-treatment were gastrointestinal (proton pump inhibitors), pain (non-steroidal anti-inflammatory drugs), and arterial hypertension (β-blockers). The FORTA score is positively correlated with higher age, a higher Charlson Comorbidity Index, and more frequent hospitalizations. Patients in disease management programs run by public health insurers had higher scores than comparators.

CONCLUSIONS

The algorithm produces plausible analyses of medication errors in older people, pointing to established areas of therapeutic deficiencies. Though individual recommendations exist, the algorithm cannot employ the full potential of FORTA as important details (e.g., blood pressure values, pain intensity) are not (yet) included. However, it seems capable of detecting medication problems in large cohorts-FORTA-EPI (Epidemiological) is designed to support epidemiological analyses, e.g., on comparisons of large cohorts, interventional impact, or longitudinal trends.

Effect of a computerized decision support system on potentially inappropriate medication prescriptions for elderly patients in Thailand

RATIONALE, AIMS, AND OBJECTIVES

The prescription of potentially inappropriate medication (PIM) is a global issue associated with increased adverse drug events, mortality, and health care expenditure. Computerized decision support system (CDSS) for the detection of PIM is a novel alert system in Thailand for reducing PIM prescriptions. The aim of this study was to evaluate the effect of a CDSS on PIM prescriptions for elderly patients in Thai community hospitals.

METHODS

The study design comprised two phases with a duration of 12 months each: pre-CDSS implementation (October 2015-March 2016) and post-CDSS implementation (October 2016-March 2017). Medical services and prescription claims data from four hospitals were used to calculate the prevalence of PIM prescriptions among elderly patients aged 60 years and older. Chi-square tests were used to analyse changes in PIM prescriptions across hospitals post CDSS.

RESULTS

The overall prevalence of PIM prescriptions post-CDSS implementation significantly decreased from 87.7% to 74.4%. The severity of mild and moderate PIMs was significantly reduced from 71.9% to 49.0% and from 64.5% to 48.7%, respectively. All hospitals had only one severe PIM, which was hyoscine. It was reduced from 4.7% to 1.5%, but the change was not significant (P = 0.74). The proportion of frequently prescribed PIMs in all PIM levels was significantly decreased, regardless of existing alternative medications.

CONCLUSIONS

Specific CDSS for PIM in community hospital setting was associated with a reduction of PIM prescription in elderly patients. This CDSS can change physician's prescription behaviour to avoid inappropriate medications.

Utilization of computerized clinical decision support for potentially inappropriate medications

Background: Electronic medical record (EMR) alerts may inform point of care decisions, including the decision to prescribe potentially inappropriate medications (PIM) identified in the Beers criteria. EMR alerts may not be considered relevant or informative in the clinician context, leading to a phenomenon colloquially known as “alert fatigue.”

Objective: To assess the frequency of clinical interaction with EMR alerts and associated deprescribing behaviors in ambulatory settings.

Methods: This is a retrospective observational study in two ambulatory clinics (the Kaye Edmonton Clinic Senior’s Clinic and the Lynnwood Family Practice Clinic) in Edmonton over an observational period of 30 months. Statistical analysis was done using descriptive statistics, chi-square and regression analysis.

Results: The reminder performance for interactions with the alert was 17.2% across the two clinics. The Number Needed to Remind (NNR) or mean number of alerts shown on clinician screens prior to a single interaction of any kind with the alert was 5.8. When actions were defined as a deprescribing (ie discontinuation) event that was related to the alert and that particular interaction in the EMR, the reminder performance was 1.2%, for an NNR of 82.8.

Conclusion: The configuration of alerts in the EMR was not associated with a clinically detectable increase in the uptake of the Beers criteria for high hazard medications.

A pharmacist-physician intervention model using a computerized alert system to reduce high-risk medication use in primary care

PURPOSE

Potentially inappropriate medications (PIMs) have been associated with a greater risk of adverse drug events and hospitalizations. To reduce PIMs use, a family health team (FHT) implemented a knowledge translation (KT) strategy that included a pharmacist-physician intervention model based on alerts from a computerized alert system (CAS).

METHODS

Our pragmatic, single-site, pilot study was conducted in an FHT clinic in Quebec, Canada. We included community-dwelling older adults (≥ 65 years), with at least 1 alert for selected PIMs and a medical appointment during the study period. PIMs were selected from the Beers and STOPP criteria. The primary outcome was PIMs cessation, decreased dose, or replacement. The secondary outcome was the clinical relevance of the alerts as assessed by the pharmacists.

RESULTS

During the 134 days of the study, the CAS screened 369 individuals leading to the identification of 65 (18%) patients with at least 1 new alert. For those 65 patients, the mean age was 77 years, men accounted for 29% of the group and 55% were prescribed 10 or more drugs. One or more clinically relevant alerts were generated for 27 of 65 included patients for an overall clinical relevance of the alerts of 42%. Of the 27 patients with at least 1 relevant alert, 17 (63%) had at least 1 medication change as suggested by the pharmacist.

CONCLUSION

An interdisciplinary pharmacist-physician intervention model, based on alerts generated by a CAS, reduced the use of PIMs in community-dwelling older adults followed by an FHT.

Combating Polypharmacy Through Deprescribing Potentially Inappropriate Medications

Polypharmacy, defined as the use of five or more medications, is becoming increasingly prevalent in older adults throughout the United States. Depre-scribing, along with the use of existing tools, such as the American Geriatrics Society Beers Criteria, can help guide health care providers in reducing the risks associated with polypharmacy such as side effects and drug interactions. The framework of deprescribing and the use of existing guidelines and resources are valuable in guiding health care providers in addressing polypharmacy. [Journal of Gerontological Nursing, 45(1), 9-15.].

Too much or too little? Investigating the usability of high and low data displays of the same electronic medical record

The high data density on electronic medical record screens is touted as a major usability issue. However, it may not be a problem if the data is relevant and well-organized. Our objective was to test this assumption using a comprehensive set of measures that assess the three pillars of usability: efficiency (both physical and cognitive), effectiveness, and satisfaction. Physicians were asked to go through a series of tasks using two versions of the same electronic medical record: one where all the display items were separated into tabs (the original display), and one where important display items were grouped logically in one tab (the redesigned display). Results supported the hypothesis that combining relevant data in organized fashion into a smaller location would improve usability. The findings highlight the role of good display organization to mitigate the effects of high data density, as well as the importance of assessing cognitive load as part of usability studies.

Deprescribing: the emerging evidence for and the practice of the 'geriatrician's salute'

The process of a health professional withdrawing medicines for which the current risk may outweigh the benefit in the individual patient has been given a variety of names including the colloquial 'geriatrician's salute', 'de-intensification' and increasingly 'deprescribing'. The rise of deprescribing as a word with a definition, evidence base and implementation plan, reflects the changing environment in which we practice. In particular, the emphasis on evidence-based medicine and the need to care for our expanding ageing populations, which requires application of components of geriatric evaluation and management by a wider range of health care practitioners. However, there are still significant challenges related to research on the safety, efficacy and implementation of deprescribing. In this commentary, we discuss the current evidence on the effects of deprescribing, emergence of implementation tools to embed deprescribing into the clinical care of older adults, as well as efforts to develop guidelines to improve health care practitioners' awareness and self-efficacy of deprescribing. Ultimately, judicious prescribing and deprescribing, across a wide range of health care settings, ought to enable older people to use medicines to support their achievable ageing goals.

Prevention of potentially inappropriate medication in internal medicine patients: A prospective study using the electronic application PIM-Check

WHAT IS KNOWN

Potentially inappropriate medication (PIM) is a risk factor for drug-related problems (DRPs) and an important inpatient safety issue. PIM-Check is a screening tool designed to detect PIM in internal medicine patients.

OBJECTIVE

This study aimed to determine whether PIM-Check could help to identify and reduce DRPs.

METHOD

Prospective interventional study conducted on patients admitted to internal medicine wards in a university hospital between 1 September 2015 and 30 October 2015. Adult patients were included if they were hospitalized for more than 48 hours. Patients received either usual care (period 1 = control) or usual care plus medication screening by the wards' chief residents using PIM-Check (period 2 = intervention). An expert panel, composed of a clinical pharmacist, a clinical pharmacologist and two attending physicians in internal medicine, blinded to patient groups, identified DRPs.

RESULTS

A total of 297 patients were included (intervention: 109). The groups' demographic parameters were similar. The expert panel identified 909 DRPs (598: control; 311: intervention). The mean number of DRPs per patient was similar in the control (3.2; 95% CI: 2.9-3.5) and intervention groups (2.9; 95% CI: 2.4-3.3) (P = .12). PIM-Check displayed 33.4% of the 311 DRPs identified in the intervention group.

WHAT IS NEW AND CONCLUSION

In this study, PIM-Check had limited value, as the average number of DRPs per person was similar in both groups. Although one-third of DRPs counted in intervention group had been identified by PIM-Check, this did not lead to a reduction in DRPs. This lack of impact of PIM-Check on drug prescription may be explained by the number of alerts displayed by the application and hospital physicians' reluctance to modify the treatments for chronic conditions previously prescribed by general practitioners.

Development and pilot testing of PHARAO-a decision support system for pharmacological risk assessment in the elderly

Purpose

The aims of this study are to describe the development of PHARAO (Pharmacological Risk Assessment Online), a decision support system providing a risk profile for adverse events, associated with combined effects of multiple medicines, and to present data from a pilot study, testing the use, functionality, and acceptance of the PHARAO system in a clinical setting.

Methods

About 1400 substances were scored in relation to their risk to cause any of nine common and/or serious adverse effects. Algorithms for each adverse effect score were developed to create individual risk profiles from the patient’s list of medication. The system was tested and integrated to the electronic medical record, during a 4-month period in two geriatric wards and three primary healthcare centers, and a questionnaire was answered by the users before and after the test period.

Results

A total of 732 substances were tagged with one or more of the nine risks, most commonly with the risk of sedation or seizures. During the pilot, the system was used 933 times in 871 patients. The most common signals generated by PHARAO in these patients were related to the risks of constipation, sedation, and bleeding. A majority of responders considered PHARAO easy to use and that it gives useful support in performing medication reviews.

Conclusions

The PHARAO decision support system, designed as a complement to a database on drug-drug interactions used nationally, worked as intended and was appreciated by the users during a 4-month test period. Integration aspects need to be improved to minimize unnecessary signaling.

Applying the Lists of Risk Drugs for Thai Elderly (LRDTE) as a mechanism to account for patient age and medicine severity in assessing potentially inappropriate medication use

BACKGROUND

Potential inappropriate medication (PIM) prescribing is a medication that puts patients at risk rather than having benefits. PIM use has been associated with hospitalization, morbidity, and mortality resulting from ADRs in elderly patients. The Lists of Risk Drugs for Thai Elderly (LRDTE) was developed as the new screening tool to identify PIMs use. The prevalence of PIM use using the LRDTE has not been determined in Thailand.

PURPOSE

The main purpose of this study was to examine the prevalence of PIM use based on the LRDTE. In addition, this aimed to address the PIM problem by identifying factors that influenced PIM use among elderly patients in Thailand.

METHODS

A retrospective cross-sectional descriptive study was conducted using the computerized database at four community hospitals in Thailand during fiscal year 2014. The LRDTE criteria were used as a screening tool for identifying the medicine items of PIM use. Descriptive statistics and multivariate logistic regression were used to identify common and Thai region-specific predictors of PIM use.

RESULTS

Of a total of 13274 elderly patients, 79% were prescribed at least one PIM, as indicated by the LRDTE criteria. Amlodipine (32%), omeprazole (30%), and tramadol (18%) were the most commonly prescribed PIMs in elderly patients aged 60 years and older. Hospital and physician characteristics were identified as independent predictors after adjustment for patient and utilization factors.

CONCLUSION

PIM use in Thai elderly patients was highly prevalent in community hospitals because the LRDTE criteria reflected clinical practice in Thailand. Hospital and physician factors were identified as region-specific factors that were highly associated with PIM use. Revision of hospital formularies and educational programs for physicians are needed to improve prescribing and avoid PIM use.

An Approach for All in Pharmacy Informatics Education

Computerization is transforming health care. All clinicians are users of health information technology (HIT). Understanding fundamental principles of informatics, the field focused on information needs and uses, is essential if HIT is going to support improved patient outcomes. Informatics education for clinicians is a national priority. Additionally, some informatics experts are needed to bring about innovations in HIT. A common approach to pharmacy informatics education has been slow to develop. Meanwhile, accreditation standards for informatics in pharmacy education continue to evolve. A gap remains in the implementation of informatics education for all pharmacy students and it is unclear what expert informatics training should cover. In this article, we propose the first of two complementary approaches to informatics education in pharmacy: to incorporate fundamental informatics education into pharmacy curricula for all students. The second approach, to train those students interested in becoming informatics experts to design, develop, implement, and evaluate HIT, will be presented in a subsequent issue of the Journal.