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Erschienen in: International Journal of Clinical Pharmacy 6/2019

Open Access 08.11.2019 | Research Article

Economic impact of Patient’s Own Medication use during hospitalisation: a multicentre pre-post implementation study

verfasst von: Loes J. M. van Herpen-Meeuwissen, Bart J. F. van den Bemt, Hieronymus J. Derijks, Patricia M. L. A. van den Bemt, Frank de Vries, Barbara Maat, Hein A. W. van Onzenoort

Erschienen in: International Journal of Clinical Pharmacy | Ausgabe 6/2019

Abstract

Background Medication is frequently thrown away after a patient’s discharge from hospital, with undesirable economic and environmental consequences. Because of the rising costs of healthcare, interventions to reduce medication wastage (and associated costs) are warranted. Using Patient’s Own Medication during hospitalisation might decrease medication wastage and associated costs. Objective To study the economic impact of patient’s own medication use on medication waste and hospital staff’s time spent during hospitalisation. Setting In seven Dutch hospitals, of which university, teaching, general, and specialised hospitals, eight different hospital wards, surgical and medical, were selected. Method In this prospective pre-post intervention study data on the economic value of medication waste and time spent by healthcare professionals were collected for a 2 months period each. The economic value of medication waste was defined as the value (€) of wasted medication per 100 patient days. For each ward, time spent on medication process activities was measured 10 times per staff member. The average time spent (in hours) on medication process steps (multiple activities) per staff member per 100 patients and associated salary costs were calculated for both periods. Main outcome measure The primary outcome of the study was the total economic value (€) of wasted medication per 100 patient days. Results Implementation of Patient’s Own Medication decreased the economic value of wasted medication by 39.5% from €3983 to €2411 per 100 patient days. The mean time spent on the total medication process was reduced with 5.2 h per 100 patients (from 112.7 to 104.4 h per 100 patients). We observed a shift in professional activities, as physicians and nurses spent less time on the medication process, whereas pharmacy technicians had a greater role in it. When time spent was expressed as salary; €1219 could be saved per 100 patients. Conclusions This study showed that ‘Patient’s Own Medication' implementation may have a positive economic impact, as the value of medication waste decreases, hospital staff devoted less time on the medication process, and staff deployment is more efficient.
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Impact on practice

  • Patient’s Own Medication use is a valuable intervention for decreasing cost of medication waste, time spent by healthcare professionals, and costs of associated salary.
  • To successfully implement Patient’s Own Medication use during hospitalisation, collaboration between hospital staff is a precondition.
  • Patient’s Own Medication implementation leads to a shift in professional activities in the current medication process by hospital staff.

Introduction

As healthcare costs are rising [13], interventions to reduce healthcare expenditures are warranted [48]. Medication represents a substantial and increasing proportion of healthcare budgets [1, 9, 10]. Unfortunately, a significant part of medication remains unused and is disposed of. In the U.K. alone, medication waste is estimated to cost the National Health Service £300 million per annum [11]. Moreover, it has a negative impact on both the economy and the environment [12, 13]. Therefore, interventions to reduce medication waste are essential.
Medication waste occurs in both the ambulatory and acute care setting [8, 1418]. While waste has been well studied in primary care [8, 1416], little is known about the underlying reasons resulting in medication waste during hospitalisation [17, 18]. Medication substitution upon hospital admission and discharge, is probably an important driver of medication waste and results into direct and indirect unnecessary expenses. In most Western countries it is common practice that the hospital provides all inpatient medication, according to the hospital’s formulary. Pans et al. observed that during hospitalisation 31% of medication used at home is substituted by the hospital [19]. Furthermore, when substitution is impossible, non-formulary medicines are purchased for individual patients. Both substitution and additional procurement of medication take a considerable amount of hospital staff’s time and therefore, results in additional costs. At discharge, however, substituted medicines are resubstituted to patient’s original medication by hospital staff. This in-hospital substitution policy takes significant time and leads to medication wastage as (opened) packages of medication are disposed of.
A promising intervention to reduce inpatient medication waste and medication-substitution related staff costs is the implementation of ‘Patient’s Own Medication’ (POM; also known as Patient’s Own Drug [POD]) use during hospitalisation [20]. Patients bring their own medication, provided by the community pharmacy, into the hospital when admitted. Consequently, substitution is no longer required. Therefore, POM use has the potential to improve the accuracy of admission orders and may decrease medication waste [21, 22]. Moreover, it may enhance opportunities for patient counselling and continuity of care between acute and primary care [23, 24]. Despite the possible advantages, POM use has not been implemented in routine health care. Concerns about the effects of POM use on medication safety and the uncertainty on economic benefits may limit its implementation [25]. As a result, POM is not used in standard care in the Netherlands and no study has been performed to evaluate the economic impact of POM use. This study, therefore, aims to explore the impact of POM use on the (1) economic value of wasted medication, (2) quantity of wasted medication, and (3) time spent by hospital staff and associated salary costs.

Ethics approval

The ethical review board CMO Arnhem-Nijmegen, the Netherlands, concluded that under Dutch law no ethical approval was required for this study (file number 2016-3088).

Methods

Design

A multicentre prospective intervention study with a pre-post design was conducted from August 2015 to June 2017. After a baseline 2-month pre-implementation period, the intervention (POM use during hospitalisation) was implemented and subsequently followed by a 2-month evaluation of the implementation.

Study population

The study was conducted at eight different wards in seven Dutch hospitals, of which three university, two teaching, one general, and one specialised hospital. We included the departments of Cardiology, Internal medicine, Haematology, Pulmonology, Medical Oncology, Orthopaedics, the combined wards Internal medicine/Gastroenterology/Geriatrics, and Gynaecology/Urology/Otorhinolaryngology. All patients admitted to the participating wards during the study were eligible for participation, if they already used medication before hospital admission or if medication was started during hospitalisation which was intended to be used at home. The use of individualised pre-packaged medication (either by an automated dispensing system or medication organiser box), without the possibility of bringing the original medication package to the hospital, was an exclusion criterion for participation in this study.

Pre-intervention: standard care

In the Netherlands, the current hospital medication process generally starts with medication reconciliation at admission. Based on this, physicians electronically order this medication, typically taking the hospital’s formulary into account. When a medication is not on the hospital’s formulary, medication is substituted to a different brand and/or a different pharmacotherapeutic class. In case a medicine cannot be substituted, it is procured for that individual patient.
Most Dutch hospitals use a floor stock distribution system. The stock comprises of the most frequently used medicines for the department and is regularly restocked. Whenever a medicine is not in stock, the medicine is dispensed from the pharmacy, where it is labelled and distributed to the requesting department. If the pharmacy does not have the medicine in stock, it places an order at a wholesaler or manufacturer. Though differences among hospitals and departments exist, medication cart filling is mostly performed for the upcoming 24 h. During hospitalisation medication is administered by nurses, mostly by using Bar Code Medication Administration (BCMA). At discharge substituted medicines are resubstituted to the original medication by a physician. Newly initiated pharmacotherapy is prescribed by a physician as well. These prescriptions are filled by an outpatient pharmacy. All unused medication, including the specially procured medication, that has been dispensed during admission, is disposed of at patient’s discharge. For an overview see Fig. 1.

Intervention: POM use during hospitalisation

In the intervention period patients were asked to bring their own medication in original packages to the hospital. In case of an acute hospitalisation, patient’s relatives were asked to bring these within 24 h. Medication reconciliation took place as in standard care. Thereafter, a physician electronically ordered patient’s home medication without any medication substitution. Patient’s own medication stock was checked by a nurse or pharmacy technician for completeness, shelf life, quality (by observation), and quantity. Thereafter, the medication was stored by patient name. Medication administration was performed by nurses, as in standard care. Newly started medication that should be continued at home and POM that ran out of stock were provided by the pharmacy and stored by patient name as well. At discharge POM was gathered, including newly started therapies, and handed over to the patient. Discontinued medication was disposed of.

Data collection

In both study periods, data were collected during 2 months. The following ward characteristics were collected from the hospitals’ general databases and annual reports: number of inpatient beds, mean number of admitted patients per month, mean length of stay (LOS), mean age of the patient population, and percentage acute admissions. All disposed medication was collected, identified, and quantified. The following medication characteristics were collected: name, dosage, quantity of individual units (e.g. number of tablets), unique identification code, Anatomical Therapeutic Code (ATC), and the price per unit.

Medication price per unit

To standardise medication prices, the price per unit was determined on the first of November 2017 using government set pharmacy retail prices, as listed in the G-Standard [26]. The G-Standard is the Dutch medication database, which is used by all parties in healthcare [26]. The G-Standard supports the different processes in healthcare, such as prescribing, dispensing, ordering, reimbursement, and clinical decision support [26]. This database lists the pharmacy retail price per unique medication identification code. When the unique medication identification code was not recognised by the database, for example because the product was no longer authorised, the retail price listed in de pharmacy system of the hospital where the product was disposed of was used as price per unit. Furthermore, if there was no retail price known, the net price per unit listed in the hospital pharmacy system was used. When both the retail and the net price were unknown, the study group manually searched for the retail price of the entire product group with the same generic prescription code and calculated the mean retail price per unit.

Time spent by hospital staff

Multiple groups of staff members play a role in the medication process, i.e. nurses, pharmacy technicians, physicians, pharmacists, and general (pharmacy or logistic) employees. Medication process activities were identified during the pre- and post-implementation process using the ‘Value stream mapping’ method [27]. All activities were part of one of the following process steps: medication reconciliation, ordering, distribution, dispensing, administration, inform patient, and patient’s discharge. Activities performed within the medication process were measured at least ten times per ward per staff member by stopwatch timing. Activities could differ between wards and could change after POM implementation. If an activity did not change (same staff member, same activity) in the post-implementation period versus the standard care in the pre-implementation period, it was not measured again.

Outcomes

The primary outcome of the study was the economic value (€) of wasted medication per 100 patient days. The secondary outcomes were the mean quantity of medication waste per 100 patient days and the time spent by hospital staff on the medication process per 100 patients including associated salary costs.

Data analysis

For each ward, the economic value (€) of medication waste was calculated by dividing the total medication price per unit disposed of during the pre- and post-implementation period by the number of patient hospitalisation days (number of hospitalised patients on that ward times mean LOS) during the same period, and multiplied by 100 patients. In the same way the quantity of medication disposed of per 100 patient days was calculated as the total quantity of individual units disposed of. The mean time in hours (h) to perform activities within the medication process was calculated (if activities were measured ≥ 10 times) as the time per hospital staff member per medication process step per 100 patients. Only “medication distribution” was not defined as time spent to perform the activity per 100 patients, as an employee distributes medication once daily for the total ward and not per patient. In that situation the mean time spent per day was calculated and reported separately. Furthermore, time spent was expressed as economic value by calculating the mean maximum salary per hospital staff member related to the time spent on the process steps. Because salary scales differ between types of hospitals a mean maximum salary based on these scales was calculated. Analyses were performed in Microsoft Excel (version 2006) using descriptive statistics.

Results

In total, eight wards participated, of which six were medical and two were surgical wards. Ward and patient characteristics are described in Table 1. All medical wards collected data on medication waste and all wards, with the exception of Ward B, collected data on time spent.
Table 1
Wards and patients characteristics during the pre- and post-implementation of Patient’s own medication (POM) use study periods
Ward
Type of ward
Inpatient beds (n)
LOS (mean, days)a
Acute admissions (%)a
Pre-POM Admissions/month (n)
Post-POM Admissions/month (n)
Pre-POM Mean patient age (years; SD)
Post-POM Mean patient age (years; SD)
A
Medical
32
4.5
69
113
136
70.3 (13.4)
70.4 (13.3)
B
Medical
24
6.3
51
64
57
56.5 (16.9)
51.9 (17.3)
C
Medical
50
6.1
59
30
30
59.9 (15.4)
63.8 (10.8)
D
Medical
30
9.5
53
43
74
64.0 (21.0)
69.0 (17.7)
E
Medical
28
6.8
56
116
109
60.1 (14.9)
58.3 (17.8)
F
Medical
32
5.6
56
90
130
63.9 (14.8)
65.2 (15.8)
G
Surgical
77
3.4
11
306
Unknown
56.2 (16.5)
Unknown
H
Surgical
46
4.6
15
163
184
55.0 (18.3)
57.7 (17.6)
LOS, Length of stay; Pre-POM, pre-implementation of Patient’s own medication (POM) use study period; Post-POM, post-implementation of Patient’s own medication (POM) use study period; SD, standard deviation
aDuring the total study period

Value of wasted medication

The economic value of wasted medication per 100 patient days was €3983 and €2411 during the pre- and post-implementation period respectively (Fig. 2). There was a large variation in the value of wasted medication among the wards, both in the pre- and post-implementation period. Four wards showed a decrease in the value of wasted medication after implementation of POM, in one ward the opposite effect was observed, and one ward did not show a difference. After implementation of POM the total value of wasted medication per 100 patient days decreased with 39.5% (€1572).

Quantity of wasted medication

The total quantity of medicines wasted was 1787 individual units per 100 patient days during the pre-implementation period and 2053 individual units per 100 patient days during the post-implementation period: an increase of 14.9% (Fig. 3). Four wards showed a decrease in quantity of wasted medication per 100 patient days, of which three wards also showed a decrease in value of wasted medicines per 100 patient days after POM use was implemented.

Time spent by hospital staff

A total of 2678 medication process activities were measured, of which 1729 pre- and 949 post-implementation. Of these 26 and 35 measurements were excluded respectively, as the activity was not measured ten times per staff member, resulting in 2617 measurements used for analysis. The medication process took 112.7 h per 100 patients in the pre-implementation versus 104.4 h per 100 patients in the post-implementation period. Moreover, POM use resulted in a 5.2 h (4.6%) decrease per 100 patients in time spent by hospital staff. Furthermore, a shift in professional activities among staff members was observed. A reduction of time spent on medication process activities when POM use was implemented was accomplished for physicians (− 11.3 h/100 patients) and nurses (− 16.2 h/100 patients). Pharmacy technicians had a more substantial role in the new medication process, which resulted in a increase in time spent of 22.2 h per 100 patients (Table 2). When time spent was translated to salary costs, the saved time and the shift in deployment resulted in net savings of €1219 per 100 patients.
Table 2
Mean time spent (in hours [h]) to perform an activity in the medication process per medication process step per staff member per 100 patients during the pre- and post-implementation of Patient’s Own Medication (POM) use during hospitalisation
Medication process step
Staff member
Pre-POM (h/100 patients)
Post-POM (h/100 patients)
Difference (h/100 patients)
Medication reconciliation
Pharmacy technician
12.6
12.4
− 0.2
 
Physician
7.4
5.5
− 1.9
 
Nurse
6.2
3.8
− 2.4
Ordering
Physician
6.0
6.0
0.0
 
Pharmacist
3.0
3.0
0.0
 
Pharmacy technician
0.5
17.4
+ 16.9
 
Nurse
22.1
7.6
− 14.5
Dispense
Pharmacy technician
7.4
7.4
0.0
 
Nurse
6.9
5.0
− 1.9
Medication administration
Nurse
4.7
5.2
+ 0.6
Inform patient
Pharmacy technician
5.0
9.3
+ 4.3
 
Physician
7.0
2.5
− 4.5
Patient’s discharge
Pharmacy technician
10.2
11.4
+ 1.2
 
Physician
10.7
5.8
− 4.8
 
Nurse
3.1
5.1
+ 2.0
Total
 
112.7
107.4
− 5.2
Pre-POM, pre-implementation of Patient’s own medication (POM) use study period; Post-POM, post-implementation of Patient’s own medication (POM) use study period
The daily time spent on the distribution of medication by pharmacy technicians and general pharmacy or logistic employees was similar before (0.1 h) and after (0.1 h) implementation of POM use.

Discussion

The implementation of POM use during hospitalisation showed a total potential saving of more than €1500 per 100 patient days on medication waste costs. Nevertheless, an increase in the quantity of individual medication units disposed of was shown. The POM process resulted in a decreased time spent by hospital staff of 5.2 h per 100 patients (4.6%) on the medication process when compared to standard care. A shift in responsibilities between staff members was shown, resulting in net savings of over €1200 per 100 patients.
This study was the first study that investigated the effect of implementing POM use on economic waste in hospitalised patients. POM use has recently been investigated in a Danish setting, but instead of focussing on waste Houlind et al. studied medication expenditures [28]. They concluded that implementing POM use did not lead to a significant difference between medication cost per patient when compared to the traditional medication system ($2.03 [95% confidence interval − 0.57 to 4.63] p = 0.131) [28]. Although medication cost was not subject to research in our study, it is expected that POM use will decrease hospitals’ medication expenditures as less medicines should be ordered at the wholesaler because patients bring their own.
We observed considerable heterogeneity between wards in disposed of medication and related costs with the introduction of POM. There are several possible reasons why not all wards showed a decrease in the value and quantity of disposed of medication. Firstly, during the post-implementation period staff might not have adapted to the new medication process sufficiently. Consequently, staff might erroneously ordered outpatient medication packages for patients that were not eligible for POM use and forgot to endow home medication to the patient at discharge. These packages were all disposed of at discharge, and resulted in more medication waste during the post-implementation period. It is expected that if the medication process was performed according to protocol, less medication would have been disposed of. Secondly, it could be that more complex patients were admitted on the wards in the post-implementation period as study periods were randomly chosen. Treating complex patients may lead to additional changes in therapeutic therapy, resulting in starting and stopping medication more frequently and consequently increasing the quantity of medication being wasted.
To implement POM use during hospitalisation we anticipated that the current medication process required several adaptations to fit the new way of working. As a consequence, professional activities were assigned to other staff members. We observed, indeed, a shift in performer resulting in a net saving of time spent. Two medication process steps, ordering and medication administration, took hospital staff more time when POM use was implemented. This additional time spent may be explained by the fact that time measurements took place directly after implementation. As staff may not have completely adopted the new medication process deployment yet; because of the shift in tasks, activities may have taken more time. It is to be expected that new tasks will be completed more rapidly when habituation occurs. Consequently, the results of this study on time spent may be an overestimation.
The implementation of POM use is challenging due to needed adaptations in the medication process. It requires changes in: the role of patients and staff members, health care finance, hospital ICT systems, medication logistics, and hospital’s medication stock. Moreover, POM use raises some concerns as it may introduce (other types of) medication errors. For example the quality of the medication cannot be guaranteed, medication packages may be less recognizable to nursing staff, and BCMA is not always possible. It is, therefore, important to continuously evaluate this new medication process and address the expected safety aspects of POM use [29].
Nevertheless, POM use initiates several opportunities as well. It has been suggested that POM use gives better opportunities for patient counselling and stimulates continuity of care [23, 24]. Moreover, several studies found that bringing POM into the hospital prevents medication errors at admission and after hospitalisation, and it improves the quality of medication used at home [2123, 30]. Due to POM use during hospitalisation, patients may recognise their medication better which could have a positive effect on adherence at home, which is known to be a problem [31]. Lastly, POM use facilitates the opportunity of self-administration of medication by hospitalised patients. Future studies, therefore, should focus on the effect of POM use during hospitalisation on medication safety and the applicability of self-administration of POM.
A strength of this study is our study population which reflects the Dutch hospital patient population well. Those hospitals included, together account for a tenth of the total number of hospital admissions yearly in the Netherlands [32]. Moreover, the mean LOS and mean age of the population are representative [32, 33].
This study has limitations. The participating wards did not include all patients who were able to participate in POM schemes. Moreover, we were unable to address the proportion of admitted patients who participated in POM schemes on the included wards. The effects of POM use in this study, therefore, may have been underestimated as the total ward was measured. Another potential limitation was the relatively short study period of 2 months for each phase. This may have limited the applicability of results found. Nevertheless, other studies on medication waste were conducted for shorter periods [30, 34]. In addition, by including different ward types, hospitals, and seasons, the factors that influenced medication waste varied. There were less time measurements in the post-implementation period. This was due to a conscious choice in the set-up of the time measurements: activities that did not change were not measured again. This was chosen because the time measurements were very time consuming and were conducted by healthcare professionals on top of their normal care activities. This may have led to bias. Lastly, the post-implementation period started directly after the implementation. This may have resulted in unintended medication waste and additional time spent on the medication process as a consequence of limited habituation. Therefore, the results of this study may underestimate the economic impact of and overestimate the time spent on POM use during hospitalisation.
In conclusion, POM use could reduce medication waste cost by more than €1500 per 100 patient days. We did not find a positive effect on the quantity of wasted medication. POM use took less of hospital staff time spent, namely: 5.2 h per 100 patients; and in terms of salary more than €1200 could be saved per 100 patients. It is expected that our results underestimate the true effects when POM use is fully implemented. Furthermore, POM use may lead to a more efficient deployment of hospital staff.

Acknowledgements

Dr. E Vasbinder (Groene Hart Ziekenhuis), Drs. E. Sportel (Medisch Spectrum Twente), and Dr. A. Scheepers-Hoeks (MUMC +).

Conflicts of interest

LHM: none; BB: none related to current study; HD: none; PB: none related to current study; FV: supervises Ph.D. students who are employed by F. Hoffmann La Roche Ltd. (Basel, Switzerland and Welwyn Garden City, UK). He has not received any reimbursements or fees and the Ph.D. topics are not related to the current study; BM: none; HO: none.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Literatur
2.
Zurück zum Zitat OECD. Health at a Glance 2017: OECD Indicators. Health at a Glance. Paris: OECD Publishing; 2017. p. 2017.CrossRef OECD. Health at a Glance 2017: OECD Indicators. Health at a Glance. Paris: OECD Publishing; 2017. p. 2017.CrossRef
4.
Zurück zum Zitat National Health Council. Policy recommendations for reducing health care costs. 2017. National Health Council. Policy recommendations for reducing health care costs. 2017.
5.
Zurück zum Zitat Schippers EI. Plan van Aanpak Het tegengaan van Verspilling in de Zorg. Den Haag: Ministerie van Volksgezondheid, Welzijn en Sport; 2013. Schippers EI. Plan van Aanpak Het tegengaan van Verspilling in de Zorg. Den Haag: Ministerie van Volksgezondheid, Welzijn en Sport; 2013.
11.
Zurück zum Zitat Trueman PLK, Blighe A, Meszaros A, Wright D, Glanville J. Evaluation of the scale, causes and costs of waste medicines. London: York Health Economics Consortium and School of Pharmacy University of London; 2010. Trueman PLK, Blighe A, Meszaros A, Wright D, Glanville J. Evaluation of the scale, causes and costs of waste medicines. London: York Health Economics Consortium and School of Pharmacy University of London; 2010.
13.
Zurück zum Zitat Yves Chartier JE, Pieper U, Prüss A, Rushbrook P, Stringer R, Townend W, Wilburn S, Zghondi R. Safe management of wastes from health-care activities. Malta2014. Yves Chartier JE, Pieper U, Prüss A, Rushbrook P, Stringer R, Townend W, Wilburn S, Zghondi R. Safe management of wastes from health-care activities. Malta2014.
14.
19.
Zurück zum Zitat Pans SJA, Hugtenburg JG, Berger-de Jong IEJ, Voorhorst FJ, Janssen MJA. Medicatiewijzigingen tijdens ziekenhuisverblijf op de afdelingen orthopedie en chirurgie. PW Wetenschappelijk Platform. 2008;2(4):80–5. Pans SJA, Hugtenburg JG, Berger-de Jong IEJ, Voorhorst FJ, Janssen MJA. Medicatiewijzigingen tijdens ziekenhuisverblijf op de afdelingen orthopedie en chirurgie. PW Wetenschappelijk Platform. 2008;2(4):80–5.
20.
Zurück zum Zitat Newman C. How to reduce medicines waste. Clin Pharm. 2011;3:26. Newman C. How to reduce medicines waste. Clin Pharm. 2011;3:26.
21.
Zurück zum Zitat Chan EW, Taylor SE, Marriott JL, Barger B. Bringing patients’ own medications into an emergency department by ambulance: effect on prescribing accuracy when these patients are admitted to hospital. Med J Aust. 2009;191(7):374–7.CrossRef Chan EW, Taylor SE, Marriott JL, Barger B. Bringing patients’ own medications into an emergency department by ambulance: effect on prescribing accuracy when these patients are admitted to hospital. Med J Aust. 2009;191(7):374–7.CrossRef
22.
Zurück zum Zitat Dutton K, Hedger N, Wills S, Brown D, Davies P. Prevent medication errors on admission. Int J. 2003;8:128–37. Dutton K, Hedger N, Wills S, Brown D, Davies P. Prevent medication errors on admission. Int J. 2003;8:128–37.
24.
Zurück zum Zitat James RC, Leong CK, Martin RC, Plumridge RJ. Patient’s own drugs and one-stop dispensing: improving continuity of care and reducing drug expenditure. J Pharm Pract Res. 2008;38(1):44–6.CrossRef James RC, Leong CK, Martin RC, Plumridge RJ. Patient’s own drugs and one-stop dispensing: improving continuity of care and reducing drug expenditure. J Pharm Pract Res. 2008;38(1):44–6.CrossRef
25.
Zurück zum Zitat Lummis H, Sketris I. Use of Patients’ Own Medications in Canadian Hospitals: a national survey. Can J Hosp Pharm. 2008;61(2):114–22. Lummis H, Sketris I. Use of Patients’ Own Medications in Canadian Hospitals: a national survey. Can J Hosp Pharm. 2008;61(2):114–22.
27.
Zurück zum Zitat Rother M, Shook J. Learning to see: value stream mapping to add value and eliminate Muda. 1.3 ed. Cambridge, MA: Lean Enterprise Institute; 1999. Rother M, Shook J. Learning to see: value stream mapping to add value and eliminate Muda. 1.3 ed. Cambridge, MA: Lean Enterprise Institute; 1999.
29.
Zurück zum Zitat Joint Commission International. Joint Commission International Accreditation Standards for Hospitals. 6th ed. Oak Brook, IL, USA; 2017. Joint Commission International. Joint Commission International Accreditation Standards for Hospitals. 6th ed. Oak Brook, IL, USA; 2017.
30.
Zurück zum Zitat Asare AF, Safdar A, Tomlin S, Heyes P. Cost savings from using patients’ own drugs in a paediatric hospital. Clin Pharm. 2009;1:489. Asare AF, Safdar A, Tomlin S, Heyes P. Cost savings from using patients’ own drugs in a paediatric hospital. Clin Pharm. 2009;1:489.
31.
Zurück zum Zitat Sabaté E. Adherence to long term therapy: evidence for action. Geneva2003. Sabaté E. Adherence to long term therapy: evidence for action. Geneva2003.
32.
Zurück zum Zitat Panteia. Kengetallen Nederlandse Ziekenhuizen 2014. Utrecht2016. Panteia. Kengetallen Nederlandse Ziekenhuizen 2014. Utrecht2016.
Metadaten
Titel
Economic impact of Patient’s Own Medication use during hospitalisation: a multicentre pre-post implementation study
verfasst von
Loes J. M. van Herpen-Meeuwissen
Bart J. F. van den Bemt
Hieronymus J. Derijks
Patricia M. L. A. van den Bemt
Frank de Vries
Barbara Maat
Hein A. W. van Onzenoort
Publikationsdatum
08.11.2019
Verlag
Springer International Publishing
Erschienen in
International Journal of Clinical Pharmacy / Ausgabe 6/2019
Print ISSN: 2210-7703
Elektronische ISSN: 2210-7711
DOI
https://doi.org/10.1007/s11096-019-00932-1

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