Abstract
Background For specific medical specialties it has been shown that clinical pharmacists can have a beneficial effect on the reduction of drug-related problems by performing medication reviews. However, little is known on the cost–benefit ratio of hospital-wide implementation of medication reviews. Aim To investigate the effect of conducting hospital-wide medication reviews on the detection and resolution of drug-related problems, and to calculate the cost–benefit ratio of the intervention. Method In this observational prospective period prevalence study, medication reviews were conducted during five consecutive working days in a Dutch university hospital. Patients admitted for more than 24 h were included. The cost–benefit ratio of conducting the medication reviews was calculated by dividing the total costs by the total savings. Results In 622 medication reviews, 709 potential drug-related problems (1.1 per patient) were detected. The most common advice was to stop medication (38.6%). Patients with a potentially drug-related problem were significantly older, had a higher median number of prescriptions, and the median number of days from admission to the time of medication reviews was longer. Conducting medication reviews showed a positive cost–benefit ratio of 9.7. Conclusions Hospital-wide medication reviews by clinical pharmacists have a positive cost–benefit ratio and contribute to the detection and the resolution of drug related problems (DRPs), mainly by reducing overtreatment.
Similar content being viewed by others
Explore related subjects
Find the latest articles, discoveries, and news in related topics.Avoid common mistakes on your manuscript.
Impact on practice
-
Conducting medication reviews, on top of clinical decision support systems, leads to the detection and resolution of pharmacological overtreatment and undertreatment
-
Hospitalized patients who are older, or who use multiple prescriptions are more at risk for drug-related problems
-
Conducting hospital-wide medication reviews shows a positive cost–benefit ratio and should therefore be implemented in every hospital
Introduction
Most patients admitted to a hospital use more than five different drugs [1]. Besides the beneficial effects of these drugs, medication errors occur frequently. In fact, due to the complexity of the medication process, medication-related errors are one of the most common types of error in hospitals [2, 3]. These medication errors represent a significant patient safety concern and are associated with additional costs [4].
Clinical decision support systems (CDSSs) are traditionally used by hospital pharmacists to detect and prevent drug-related problems (DRPs). Although CDSSs are getting more advanced, they are still not able to detect all DRPs. Several studies show that the involvement of a clinical pharmacist conducting medication reviews, besides using CDSS, has beneficial effects on medication safety [5,6,7,8,9,10,11,12].
A clinical pharmacist, as defined by the American College of Clinical Pharmacy (ACCP), works directly with physicians, other health professionals, and patients to ensure that prescribed medication contributes to the best possible health outcomes [13]. In contrast to CDSS, clinical pharmacists can combine information about prescribing guidelines, medical history and laboratory values with the current diagnoses to optimize pharmacotherapy.
Medication reviews conducted by clinical pharmacists have become an integral part of healthcare in many countries [13]. Although no evidence was found that conducting medication reviews reduces mortality, or hospital readmissions, studies showed a reduction in emergency department contacts [14, 15]. Furthermore, a positive impact of the involvement of a clinical pharmacist on the ward was demonstrated for specific patient groups [6, 9], including patients admitted to intensive care units [5, 16, 17]. Because of the beneficial effect on patient safety, there is a shift from the traditional way of practice in which a clinical pharmacist reacts on the signals generated by the CDSS, to a proactive clinical pharmacist integrated in the medical team on the ward. However, little is known about the impact of a hospital-wide implementation of clinical pharmacists who perform medication reviews to improve patient safety and the cost–benefit analysis of this intervention.
Aim of the study
The aim of this study is to investigate the effect of conducting hospital-wide medication reviews on the detection and resolution of drug-related problems, and to calculate the cost–benefit ratio of the intervention.
Ethics approval
The study protocol was reviewed by the Erasmus MC Medical Ethics Committee. This committee provided a waiver for obtaining informed consent (MEC-2019-0687).
Method
Design and setting
An observational prospective period prevalence study was performed at the Erasmus Medical Center, a 1246 bed university hospital in the Netherlands. Since May 2018, the clinical pharmacists are integrated in the teams on all clinical wards. For this study, the clinical pharmacists on every ward reviewed the pharmacotherapy of admitted patients for a period of five consecutive working days between August 2019 and June 2020. For every patient the potential DRPs were discussed with the physician and registered in the patient record.
In this hospital medication is prescribed using a computerized physician order entry system combined with a CDSS, based on the Dutch national drug database G-standard (Z-Index, The Hague, The Netherlands). Alerts about overdosing, duplicate therapy, drug-drug interactions, allergy’s, contra-indications and omissions are provided for prescribers, pharmacy technicians and pharmacists. The pharmacy technicians and pharmacists receive additional alerts about performing therapeutic drug monitoring, dosage adjustment needed by reduced renal function and the combination of low molecular weight heparins with vitamin K antagonists. Interventions based on signals generated by the CDSS were excluded as DRP in this study. The clinical pharmacists were trained by a clinical pharmacist (SW) before conducting the medication reviews. All clinical pharmacists were trained as a hospital pharmacist and had at least two years of experience as a clinical pharmacist. The hospital pharmacy residents received at least three years of training to become a hospital pharmacist and were supervised by a clinical pharmacist.
A DRP is defined as an event, or circumstance involving drug therapy that actually, or potentially interferes with desired health outcomes [18]. In the current study, a potential DRP (pDRP) was defined as a DRP that was detected by a pharmacist, but was not yet discussed with the physician. If the physician agreed with the pharmacist that the pDRP was relevant for the patient, the pDRP was changed into a DRP.
Primary endpoint
To determine the prevalence of pDRPs per patient after a hospital-wide implementation of medication reviews and to calculate the cost–benefit ratio of this intervention.
Secondary endpoints
To describe the severity of the DRPs, the types of recommendations and their acceptance by the physician.
Inclusion and exclusion criteria
During the study period of five consecutive working days on a ward, patients of all ages admitted to that specific ward were eligible for inclusion. An overview of the clinical departments that participated, is presented as supplementary information (Table S1). Patients admitted to the hospital with an expected length of stay less than 24 h were excluded.
Medication review
Clinical pharmacists conducted medication reviews according to the definition of a medication review as stated by the Pharmaceutical Care Network Europe [19]: “Medication review is a structured evaluation of a patient‘s medicines with the aim of optimising medicines use and improving health outcomes. This entails detecting drug-related problems and recommending interventions.”
For every patient the medication was evaluated on the following topics: optimal pharmacotherapy for the diagnosis according to the recent guidelines, laboratory values in combination with drugs (e.g. renal function), drug-drug interactions, dosage, contra-indicated drugs, drug use problems, indication for therapeutic drug monitoring, medication reconciliation, adverse drug reactions, drug allergies, and correct registration of the medication order. The detected pDRPs were discussed with a physician.
Data collection
The following information was documented in a standardized database: patient characteristics, drug classes according to Anatomical Therapeutic Chemical (ATC) code, the total amount of interventions, type of interventions, type of recommendation, time spent per review, follow up of recommendations by the physician within 24 h and the way of communicating the recommendation.
Severity of drug-related problems
To classify the DRPs, the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP) Index was used [20]. This index consists of nine categories (A–I) that are further combined into four categories, based on the severity of the outcome: (1) no error (A), (2) error, no patient harm (B–D), (3) error, patient harm (E–H), and (4) error, death (I), see Table 1. The risk assessment was done by the clinical pharmacist that detected the DRP. Afterwards an independent clinical pharmacist reassessed the score. After double assessment, the two pharmacists discussed any discrepancy in the severity score to reach consensus. In case the two assessors could not reach consensus a third pharmacist was consulted to reach consensus.
Cost–benefit analysis
The cost benefit ratio of the intervention was calculated by dividing the total costs by the total savings (cost avoidance summed with cost savings). This cost–benefit ratio was expressed for the intervention period of five consecutive working days.
Cost avoidance and cost savings
To calculate cost avoidance, only the accepted DRPs were included. To estimate the probability that in the absence of the DRPS an adverse drug event (ADE) would occur, the Nesbit probability score was used [21]. The probability of the occurrence of an ADE in the absence of a DRP was set at a likelihood of an ADE of 0 (zero), 0.01 (very low), 0.1 (low), 0.4 (medium), or 0.6 (high). The NCC MERP categories were matched with the Nesbit probability score (Table 1). As cost price for an ADE we used € 1098.88. This is based on a cost study of ADEs in a German hospital [22] and adjusted to standard inflation to match the costs in 2020 [23].
The Nesbit probability scores were multiplied with the cost of an ADE to measure cost avoidance. To calculate cost savings, the costs of discontinued medication was calculated, using the Dutch medication price list [24]. The daily drug costs were multiplied by the number of days until hospital discharge, with a maximum of five days.
Costs of intervention
The direct labor time of the pharmacists was multiplied by the costs of a clinical pharmacist per hour. In the Netherlands this is € 82.50 per hour in a university hospital.
Data analysis
All data analyses were performed using IBM-SPSS (version 25.0, IBM Corp., New York, NY, USA). Categorical variables were expressed as frequencies (percentages), and continuous variables were described as median values with range. To identify the differences between patients with a pDRP and without a pDRP after medication review, chi-square tests were performed for nominal data. Continuous variables were analyzed with a Mann–Whitney U test. A p-value p < 0.05 was considered as statistically significant.
Results
Overall, for 558 patients 622 medication reviews were conducted by 14 hospital pharmacists and 3 hospital pharmacy residents. In total, 20 interventions were excluded from the analysis, due to inconclusive data (16), the DRP was detected by the CDSS instead of the reviews (1), the DRP was detected and communicated before conducting the medication review (1), or the patient discharged within 24 h (2).
DRPs
A total of 709 pDRPs, 1.1 pDRPs per patient, were detected by the clinical pharmacist in 51% (320) of the medication reviews. 479 (67,6%) recommendations were accepted by the attending physician and given follow up within 24 h. The patient characteristics are summarized in Table 2. Patients with a pDRP were significantly older, had a higher median number of prescriptions, and the median number of days from admission to the time of medication reviews was longer. The average time spent per medication review was 8.9 min.
Drug use without indication (26.9%), administrative prescribing errors (19.8%) and drug omission (12.5%) were the most common detected DRPs (Table 3). The most frequently given recommendations were to stop medication (38.6%), to make an administrative correction of the medication order (10%) and to start medication (10%) (Fig. 1). Most DRPs were categorized as relevant problem without patient harm (Table 4 and Fig. 2).
The severity of the drug-related problems [20] that were given follow up within 24 h. White: category no error, grey: category error, no patient harm and black: category error, patient harm
The drugs that were most commonly involved with a DRP were antibiotics for systemic use (15.9%), drugs for acid related disorders (7.7%), analgesics (7.7%) and antithrombotic agents (6.7%). 59.9% of the DRPs were related to drug therapy that was started during hospital admission.
The pDRPs were most often discussed face to face with the physician (62.2%). These were also communicated by phone (22.3%), by making a note in the electronic patient record (10.4%), or by email (4.8%).
Cost–benefit analysis
The cost of service was based on 92.3 direct labor hours, leading to €7611.73 (A) per week. After adjusting for the Nesbit probability score, 59.07 ADEs were prevented, resulting in a cost avoidance of €64,910.84 (B). The total amount of cost savings was €8659.54 (C) per week. This shows a positive cost–benefit ratio of 9.7 (B + C/A).
Discussion
We show that a hospital-wide implementation of medication reviews by clinical pharmacists results in the detection of 1.1 pDRP per patient. Drug use without indication and the omission of drugs were frequently detected DRPs, resulting in drug initiation and discontinuation as most common recommendation. Besides the beneficial effect on drug safety these interventions showed also a positive cost–benefit ratio of 9.7.
To our knowledge, this is the first study to demonstrate that hospital-wide medication reviews have a beneficial effect on drug safety on patients of all ages in a university hospital. In the Netherlands, the effect of clinical pharmacists conducting medication reviews was previously studied on surgical and neurological wards [9], internal wards [6], and the intensive care unit [5]. In these studies, pDRPs were detected in 23–76% of the medication reviews [5, 6, 9], which is in line with our findings (50%). Furthermore, the recommendation to stop, or start medication was also among the most common recommendations found by Zaal et al.[9] and Bosma et al.[5, 6]. In contrast to our design, these studies focused on specific wards. Our detection rate of pDRPs and the most frequently given recommendations are also in line with previous studies on hospital-wide integration of clinical pharmacists in other hospitals worldwide [11, 12, 25,26,27].
Signals about dose adjustment and duplicate drug therapy are mostly generated by the CDSS and therefore less frequently reported in this study. The high amount of administrative prescribing errors in our study might indicate that physicians need more training for adequate prescribing skills, or that the prescribing system might not work intuitively to prevent this type of error. Poor prescribing practice was also found by Ronan et al.[11], where administrative prescribing errors accounted for 15% of the DRPs.
The drugs that were most commonly related to a DRP were antibiotics for systemic use (15.9%), drugs for acid related disorders (7.7%), analgesics (7.7%), and antithrombotic agents (6.7%). This is in consistence with the findings in the literature [11, 12, 25, 26, 28].
Most of the suggested interventions (67.7%) were given a follow up within 24 h by the attending physician. This is in line with the acceptance rate in previous studies (56–88.5%) [5, 6, 9, 11, 28,29,30]. However, in the literature the time allowed to accept the intervention varied between 24 and 72 h.
The average time spent per medication review was 8.9 min. Bosma 2008 et al. [6] described an average time spent of 50 min per patient. However, they also included the actual participation in the physicians rounds, while our study did only register the actual time spent on conducting the medication review. However, even if the average time spent on the review is five times longer, the cost–benefit ratio still remains positive.
If time is limited for conducting medication reviews, it is sensible to start with patients at risk for medication errors. Our data shows that pharmacists detect a pDRP more often if the patient was older, had more prescriptions and the review was not conducted directly after admission. While not within the scope of this study, it would be of interest for future studies to a priori identify at-risk patients in need of medication reviews. This will be in favor of the cost–benefit ratio, but more importantly, at-risk patients will receive the necessary attention and the workload for hospital pharmacist will remain limited. To further reduce the workload, the CDSS needs to be optimized by implementing signals for omissions in drug therapy and drug therapy without indication.
One of the strengths of this study is the hospital-wide implementation of the medications reviews, resulting in inclusion of patients of all ages and comorbidities. Another strength is that only the pDRPs based on the medication review were reported, and not the pDRPs detected by the CDSS. In this way the additional value of the clinical pharmacist was studied, since the use of CDSS is common practice. Also, we showed that the hospital-wide implementation of medication reviews has a positive cost–benefit ratio, which is an important element for policymakers in the hospitals. To reduce the costs of overtreatment we advise to focus on high priced drugs, since 10% of the drugs accounted for 75% of the cost savings.
This study has several limitations. First, we collected the data for a the relatively short period of five consecutive working days per ward. Therefore, the learning curve of prescribers on detecting DRPs cannot be taken into account. Secondly, only pharmacists detected the DRPs and analyzed the severity of the DRP, while physicians might rate the impact of the DRP differently. Also, the perspective of the patient on the DRPs was not taken into account, for example the effect on quality of life. We suggest that future studies focus on the effects of medication reviews on the impact of quality of life by also including the patients perspective. Thirdly, for our cost–benefit analysis indirect and opportunity costs were not included in this study. We believe that including these costs in the cost–benefit analysis will still lead to a positive cost–benefit ratio. Finally, this is a single center study in a university hospital, therefore the results should be interpreted with care regarding other hospitals settings. However, our results can be generalized in the Netherlands, since all hospitals use CDSS based on the Dutch national drug database G-standard. Due to detection of many relevant DRPs in our study, we encourage hospital pharmacist to implement hospital-wide medication reviews.
Conclusion
Hospital-wide medication reviews by clinical pharmacists have a positive cost–benefit ratio and contribute to the detection and the resolution of DRPs, mainly by reducing overtreatment.
References
Giardina C, Cutroneo PM, Mocciaro E. Adverse drug reactions in hospitalized patients: results of the FORWARD (Facilitation of Reporting in Hospital Ward) study. Front Pharmacol. 2018;9:350.
Kohn LT, Corrigan JM, Donaldson MS. To Err is human: building a safer health system, 1st ed. Institute of Medicine (US) Committee on Quality of Health Care in America; ISBN 0-309-06837-1, 2000.
van den Bemt PM, Egberts TC, Brouwers JR. Drug-related problems in hospitalised patients. Drug Saf. 2000;22(4):321–33.
Choi I, Lee SM, Flynn L, et al. Incidence and treatment costs attributable to medication errors in hospitalized patients. Res Soc Adm Pharm. 2016;12(3):428–37.
Bosma BE, van den Bemt P, Melief P, et al. Pharmacist interventions during patient rounds in two intensive care units: clinical and financial impact. Neth J Med. 2018;76(3):115–24.
Bosma L, Jansman FG, Franken AM, et al. Evaluation of pharmacist clinical interventions in a Dutch hospital setting. Pharm World Sci. 2008;30(1):31–8.
Drovandi A, Robertson K, Tucker M, et al. A systematic review of clinical pharmacist interventions in paediatric hospital patients. Eur J Pediatr. 2018;177(8):1139–48.
Jourdan JP, Muzard A, Goyer I, et al. Impact of pharmacist interventions on clinical outcome and cost avoidance in a university teaching hospital. Int J Clin Pharm. 2018;40(6):1474–81.
Zaal RJ, Jansen MM, Duisenberg-van EM, et al. Identification of drug-related problems by a clinical pharmacist in addition to computerized alerts. Int J Clin Pharm. 2013;35(5):753–62.
Kovacova B, DuriZova A. Drug-related problems identified by pharmacist-led medication review in Slovak hospitalised patients. Pharmazie. 2016;71(9):548–51.
Ronan S, Shannon N, Cooke K, et al. The role of the clinical pharmacist in an Irish University Teaching Hospital: a mixed-methods study. Pharmacy (Basel). 2020;8(1):1–15.
Rychlickova J, Saloun J, Gregorova J. Evaluation of clinical pharmacists’ interventions in the Czech Republic. Pharmacotherapy. 2016;36(7):766–73.
American College of Clinical Pharmacy (ACCP). Standards of practice for clinical pharmacists. Pharmacotherapy. 2014;34(8):794–7.
Christensen M, Lundh A. Medication review in hospitalised patients to reduce morbidity and mortality. Cochrane Database Syst Rev. 2016;2:1–69.
Renaudin P, Boyer L, Esteve MA, et al. Do pharmacist-led medication reviews in hospitals help reduce hospital readmissions? A systematic review and meta-analysis. Br J Clin Pharmacol. 2016;82(6):1660–73.
Klopotowska JE, Kuiper R, van Kan HJ, et al. On-ward participation of a hospital pharmacist in a Dutch intensive care unit reduces prescribing errors and related patient harm: an intervention study. Crit Care. 2010;14(5):1–11.
Lee H, Ryu K, Sohn Y, et al. Impact on patient outcomes of pharmacist participation in multidisciplinary critical care teams: a systematic review and meta-analysis. Crit Care Med. 2019;47(9):1243–50.
The definition of drug-related problems: Pharmaceutical Care Network Europe (PCNE); 2009 http://www.pcne.org/sig/drp/drug-related-problems.php Accessed 20 Jul 2021.
Griese-Mammen N, Hersberger KE, Messerli M, et al. PCNE definition of medication review: reaching agreement. Int J Clin Pharm. 2018;40(5):1199–208.
Hartwig SC, Denger SD, Schneider PJ. Severity-indexed, incident report-based medication error-reporting program. Am J Hosp Pharm. 1991;48(12):2611–6.
Nesbit TW, Shermock KM, Bobek MB, et al. Implementation and pharmacoeconomic analysis of a clinical staff pharmacist practice model. Am J Health Syst Pharm. 2001;58(9):784–90.
Rottenkolber D, Hasford J, Stausberg J. Costs of adverse drug events in German hospitals: a microcosting study. Value Health. 2012;15(6):868–75.
Centraal Bureau voor de Statistiek. https://opendata.cbs.nl/statline/?dl=3F0E#/CBS/nl/dataset/70936ned/table?ts=1605603531033. Accessed 20 Jul 2021.
Zorginstituut Nederland, medicijnkosten 2020. https://www.medicijnkosten.nl/. Accessed 20 Jul 2021.
Fernandez-Llamazares CM, Pozas M, Feal B, et al. Profile of prescribing errors detected by clinical pharmacists in paediatric hospitals in Spain. Int J Clin Pharm. 2013;35(4):638–46.
Prot-Labarthe S, Di Paolo ER, Lavoie A, et al. Pediatric drug-related problems: a multicenter study in four French-speaking countries. Int J Clin Pharm. 2013;35(2):251–9.
Virani A, Crown N. The impact of a clinical pharmacist on patient and economic outcomes in a child and adolescent mental health unit. Can J Hosp Pharm. 2003;56(3):158–62.
Bedouch P, Sylvoz N, Charpiat B, et al. Trends in pharmacists’ medication order review in French hospitals from 2006 to 2009: analysis of pharmacists’ interventions from the Act-IP(c) website observatory. J Clin Pharm Ther. 2015;40(1):32–40.
Bedouch P, Tessier A, Baudrant M, et al. Computerized physician order entry system combined with on-ward pharmacist: analysis of pharmacists’ interventions. J Eval Clin Pract. 2012;18(4):911–8.
Dale MA, Copeland R, Barton R. Prescribing errors on medical wards and the impact of clinical pharmacists. Int J Pharm Pract. 2003;11(1):19–24.
Acknowledgements
We thank C. Bethlehem, M. R. B. S. Crombag, M. H. M. Diekstra, L. M. A. Favie, R. B. Flint, C. J. van der Hoeven, M. B. Mulder, E. J. Ruijgrok, M. J. Rutten- van Kranenburg, I. H. van der Sijs, N. S. Vermeer, B. C. M. de Winter and B. C. M. Witjes for conducting the medication reviews.
Funding
No funding was received.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare no conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Wilkes, S., Zaal, R.J., Abdulla, A. et al. A cost–benefit analysis of hospital-wide medication reviews: a period prevalence study. Int J Clin Pharm 44, 138–145 (2022). https://doi.org/10.1007/s11096-021-01323-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11096-021-01323-1