Detection and prevention of prescriptions with excessive doses in electronic prescribing systems

Drug interaction alerts in older primary care patients, and related medically justified actions

PURPOSE

To describe presented interaction alerts in older patients, and the extent to which these require further medical action for the specific patient or are already being addressed.

METHODS

Interaction alerts presented at a physician consultation, for 274 consecutive primary care patients treated with two or more drugs (median age: 75 years; 59% female), were extracted. These alerts are based on Janusmed, a decision support integrated in the medical records that provides recommendations for managing the interactions. One general practitioner (GP) and one GP/clinical pharmacologist determined in retrospect, first independently and then in consensus, whether the alerts justified further medical action, considering each patient's health condition.

RESULTS

In all, 405 drug interaction alerts in 151 (55%) patients were triggered. Medical action in response was deemed medically justified for 35 (9%) alerts in 26 (17%) patients. These actions most often involved a switch to a less interacting drug from the same drug class (n = 10), a separate intake (n = 9), or the ordering of a laboratory test (n = 8). Out of 531 actions suggested by the alert system, only 38 (7%) were applicable to the specific patient, as, for instance, laboratory parameters were already being satisfactorily monitored or a separate intake implemented.

CONCLUSIONS

More than every other older patient receives drug treatment that triggers drug interaction alerts. Nine in ten alerts were already being addressed or were not relevant in the clinical setting, whereas, for the remaining tenth, some medical action, that for unknown reasons had not been taken, was reasonable. These findings show that interaction alerts are questionable as indicators of problematic prescribing.

Appropriateness of Overridden Alerts in Computerized Physician Order Entry: Systematic Review

BACKGROUND

The clinical decision support system (CDSS) has become an indispensable tool for reducing medication errors and adverse drug events. However, numerous studies have reported that CDSS alerts are often overridden. The increase in override rates has raised questions about the appropriateness of CDSS application along with concerns about patient safety and quality of care.

OBJECTIVE

The aim of this study was to conduct a systematic review to examine the override rate, the reasons for the alert override at the time of prescribing, and evaluate the appropriateness of overrides.

METHODS

We searched electronic databases, including Google Scholar, PubMed, Embase, Scopus, and Web of Science, without language restrictions between January 1, 2000 and March 31, 2019. Two authors independently extracted data and crosschecked the extraction to avoid errors. The quality of the included studies was examined following Cochrane guidelines.

RESULTS

We included 23 articles in our systematic review. The range of average override alerts was 46.2%-96.2%. An average of 29.4%-100% of the overrides alerts were classified as appropriate, and the rate of appropriateness varied according to the alert type (drug-allergy interaction 63.4%-100%, drug-drug interaction 0%-95%, dose 43.9%-88.8%, geriatric 14.3%-57%, renal 27%-87.5%). The interrater reliability for the assessment of override alerts appropriateness was excellent (kappa=0.79-0.97). The most common reasons given for the override were "will monitor" and "patients have tolerated before."

CONCLUSIONS

The findings of our study show that alert override rates are high, and certain categories of overrides such as drug-drug interaction, renal, and geriatric were classified as inappropriate. Nevertheless, large proportions of drug duplication, drug-allergy, and formulary alerts were appropriate, suggesting that these groups of alerts can be primary targets to revise and update the system for reducing alert fatigue. Future efforts should also focus on optimizing alert types, providing clear information, and explaining the rationale of the alert so that essential alerts are not inappropriately overridden.

Comparative evaluation of methods approximating drug prescription durations in claims data: modeling, simulation, and application to real data

PURPOSE

The purpose of this study was to compare the predictive accuracy of different methods suggested for approximation of drug prescription durations in claims data.

METHODS

We expanded a well-established modeling and simulation framework to compare approximated drug prescription durations with 'true' (i.e., simulated) durations. Real claims data of persons aged ≥65 years insured by the German nationwide 'Statutory Health Insurance Fund' AOK between 2010 and 2012 provided empiric input parameters that were completed with missing information on actual dosing patterns from an observational cohort. The distinct approximation methods were based on crude measures (one tablet a day), population-averaged measures (defined daily doses), or individually-derived measures (longitudinal coverage approximation of the applied dose, COV). As a proof-of-principle, we assessed the methods' performance to predict the well-characterized bleeding risks of anticoagulant, antiplatelet, and/or non-steroidal anti-inflammatory drugs.

RESULTS

When applied to modeling and simulation data sets, the closest, least biased, and thus most accurate approximation was observed using the COV approximation. In a real-data example, rather similar results to an external reference were obtained for all methods. However, some of the differences between methods were meaningful, and the most reasonable and consistent results were obtained with the COV approach.

CONCLUSION

Based on theoretically most accurate approximations and practically reasonable estimates, the individual COV approach was preferable over the population-averaged defined daily dose technique, although the latter might be justified in certain situations. Advantages of the COV approach are expected to be even bigger for drug therapies with particularly large dosing heterogeneity. Copyright © 2016 John Wiley & Sons, Ltd.

[Use and potential risks of over-the-counter analgesics]

BACKGROUND AND AIM

We investigated the use of prescription and non-prescription (over-the-counter, OTC) analgesics and the associated risks in elderly patients with multiple morbidities.

METHODS

Pain medication use was evaluated from the baseline data (2008/2009) of the MultiCare cohort enrolling elderly patients with multiple morbidities who were treated by primary care physicians (trial registration: ISRCTN89818205). We considered opioids (N02A), other analgesics, and antipyretics (N02B) as well as nonsteroidal anti-inflammatory drugs (NSAIDs; M01A). OTC use, duplicate prescription, dosages, and interactions were examined for acetylsalicylic acid, diclofenac, (dex)ibuprofen, naproxen, and acetaminophen.

RESULTS

Of 3,189 patients with multiple morbidities aged 65-85 years, 1,170 patients reported to have taken at least one prescription or non-prescription analgesic within the last 3 months (36.7 %). Of these, 289 patients (24.7 % of 1,170) took at least one OTC analgesic. Duplicate prescription was observed in 86 cases; 15 of these cases took the analgesics regularly. In two cases, the maximum daily dose of diclofenac was exceeded due to duplicate prescription. In 235 cases, patients concurrently took a drug with a potentially clinically relevant interaction. In 43 cases (18.3 % of 235) an OTC analgesic, usually ibuprofen, was involved.

DISCUSSION

About one third of the elderly patients took analgesics regularly or as needed. Despite the relatively high use of OTC analgesics, the proportions of duplicate prescription, medication overdoses, and adverse interactions due to OTC products was low.

Clinical relevance of information in the Summaries of Product Characteristics for dose adjustment in renal impairment

PURPOSE

Information about dosing adjustments in patients with chronic kidney disease is important to avoid toxicity for several medicines. The aim of our study was to assess the clinical relevance of the instructions for dose adjustment in patients with renal impairment provided in the Summaries of Product Characteristics (SmPCs) approved by the European Medicines Agency (EMA).

METHODS

SmPCs available on the EMA website on April 2011 were retrieved, and information on the elimination route and instructions for use in renal impairment was analysed independently by two of the authors. SmPCs were classified as containing 'explicit' or 'poor' information based on whether they presented (or not) instructions for use of the medicine in renal impairment. Information was considered 'relevant' if SmPCs provided clear instructions for dose adjustment.

RESULTS

Of the 356 SmPCs analysed, 13.8 and 37.4 % were classified as providing poor information and explicit but not relevant information, respectively. Only 48.8 % SmPCs provided both explicit and relevant information on medicine use in renal impairment. No difference was found in the average time since last update among SmPCs classified as containing explicit or poor information, as well as those classified as containing relevant or not relevant information. Also, no association was found between the clinical relevance of the information and whether or not the medication was an orphan drug, and 80 % SmPCs did not provide information on the use of the medicine in patients undergoing haemodialysis.

CONCLUSIONS

Based on our analysis, current versions of SmPCs are characterised by several information deficits and by containing recommendations that are not relevant to clinical practice in terms of dose adjustment in renal impairment. These shortcomings might limit their usefulness for healthcare professionals and integration into clinical decision-making support systems.

Physicians' reported needs of drug information at point of care in Sweden

AIMS

Relevant and easily accessible drug information at point-of-care is essential for physicians' decision making when prescribing. However, the information available by using Clinical Decision Support Systems (CDSSs) often does not meet physicians' requirements. The Summary of Product Characteristics (SmPC) is statutory information about drugs. However, the current structure, content and format of SmPCs make it difficult to incorporate them into CDSSs and link them to relevant patient information from the Electronic Health Records. The aim of the study was to evaluate the perceived needs for drug information among physicians in Sweden.

METHODS

We recruited three focus group discussions with 18 physicians covering different specialities. The information from the groups was combined with a questionnaire administered at the beginning of the group discussions.

RESULTS

Physicians reported their needs for knowledge databases at the point of drug prescribing. This included more consistent information about existing and new drugs. They also wished to receive automatically generated alerts for severe drug-drug interactions and adverse effects, and to have functions for calculating glomerular filtration rate to enable appropriate dose adjustments to be made for elderly patients and those with impaired renal function. Additionally, features enhancing electronic communication with colleagues and making drug information more searchable were suggested.

CONCLUSIONS

The results from the current study showed the need for knowledge databases which provide consistent information about new and existing drugs. Most of the required information from physicians appeared to be possible to transfer from current SmPCs to CDSSs. However, inconsistencies in the SmPC information have to be reduced to enhance their utility.

Decision support for sensible dosing in electronic prescribing systems

WHAT IS KNOWN AND OBJECTIVE

The sensible dosing of medicines can ensure that patients receive neither excessive doses leading to toxicity nor inappropriately low doses leading to undertreatment. Computerized prescribing systems with embedded decision support can check doses during prescription order entry and display alerts when the prescribed doses are out of range. We have been unable to identify any scheme for the systematic addition of dosing information to CPOE systems. We used pharmacological data to design an algorithm for dose range checking that we tested on a subset of medicines in an electronic prescribing system to ensure that the rules could be implemented in practice.

METHODS

We drafted an initial algorithm based on pharmacological principles, tested it on a subset of frequently prescribed drugs in an electronic prescribing system and then refined it. We considered which clinical decision support functions systems would require to be maximally effective.

RESULTS AND DISCUSSION

The final algorithm contained eleven broad factors. We tested it on 30 drug-route-form combinations, and it accommodated the information for all of these combinations. We also identified a variety of system functions that would be required for comprehensive dosing decision support.

WHAT IS NEW AND CONCLUSION

The dose range checking algorithm that we have derived from first principles will allow the clinical workflow and warnings to be constructed more effectively within systems to enhance patient safety. This will form a basis for the development of optimal schemes for adding decision support to prescribing systems.