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Integr Pharm Res Pract. 2016; 5: 1–10.
Published online 2016 Jan 12. doi:10.2147/IPRP.S95733
PMCID: PMC5741032
PMID: 29354533
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Abstract
Background
Dispensing errors are common in hospital pharmacies. Investigating dispensing errors is important for identifying the factors involved and developing strategies to reduce their occurrence.
Objectives
To review published studies exploring the incidence and types of dispensing errors in hospital pharmacies and factors contributing to these errors.
Methods
Electronic databases including PubMed, Scopus, Ovid, and Web of Science were searched for articles published between January 2000 and January 2015. Inclusion criteria were: studies published in English, and studies investigating type, incidence and factors contributing to dispensing errors in hospital pharmacies. One researcher searched for all relevant published articles, screened all titles and abstracts, and obtained complete articles. A second researcher assessed the titles, abstracts, and complete articles to verify the reliability of the selected articles.
Key findings
Fifteen studies met the inclusion criteria all of which were conducted in just four countries. Reviewing incident reports and direct observation were the main methods used to investigate dispensing errors. Dispensing error rates varied between countries (0.015%–33.5%) depending on the dispensing system, research method, and classification of dispensing error types. The most frequent dispensing errors reported were dispensing the wrong medicine, dispensing the wrong drug strength, and dispensing the wrong dosage form. The most common factors associated with dispensing errors were: high workload, low staffing, mix-up of look-alike/ sound-alike drugs, lack of knowledge/experience, distractions/interruptions, and communication problems within the dispensary team.
Conclusion
Studies relating to dispensing errors in hospital pharmacies are few in number and have been conducted in just four countries. The majority of these studies focused on the investigation of dispensing error types with no mention of contributing factors or strategies for reducing dispensing errors. Others studies are thus needed to investigate dispensing errors in hospital pharmacies, and a combined approach is recommended to investigate contributing factors associated with dispensing errors and explore strategies for reducing these errors.
Keywords: dispensing errors, medication errors, hospital pharmacy, patient safety, contributing factors
Introduction
Medication error is one of the most common patient safety incidents reported in hospitals.1,2 In England and Wales, ~80,000 medication errors were reported to the National Reporting and Learning System (NRLS) by National Health Service organizations between October 1, 2013 and March 31, 2014.3
Dispensing medication is a complex process that involves more than simply taking medicines from a pharmacy shelf, sticking a label on a pack, and giving this to the patient after containing it.4 It is reported that more than a million prescriptions were dispensed in pharmacies in England in 20125 and ~4 billion prescriptions are dispensed every year in the USA.6 Dispensing errors are common in hospital pharmacies. In the UK, according to the NRLS, ~17% of medication errors reported between January and December 2007 were the result of dispensing errors that occurred in general, acute, or community hospitals.7 In the USA, Flynn et al8 observed four dispensing errors per day per 250 prescriptions in 50 pharmacies.
The process of medication use in a hospital environment typically consists of several stages: prescribing, transcribing, dispensing, counseling, administration, and monitoring. Depending on the hospital’s system, some stages are excluded such as the transcribing stage. Counseling and administration can precede each other depending on the status of the recipient of the drug. Medication errors most commonly occur in the prescribing, dispensing, and administration stages,9–13 as these are the three main principle medication use processes. In England and Wales, of the 60,000 medication errors reported to the National Reporting and Learning System (NRLS) between January 2005 and June 2006, ~59% occurred in the administration stage, 17.8% occurred in the dispensing stage, and 15.7% occurred in the prescription stage.9 Studies conducted on dispensing errors show a high rate of dispensing errors of between 0.04% and 24% in community pharmacies.14
Some hospital pharmacies collect data regarding dispensing errors identified in the final accuracy check stage (near miss[es]), in order to investigate further;15 however, information about data collected as well as the outcomes of such reports are usually limited to the pharmacy department or personnel responsible for collating the data. The lack of information about outcomes of such reports also applies crucially to errors which are identified after the dispensing process. The numbers of dispensing errors noted have remained comparable.
Despite the frequency of dispensing errors in hospitals, less attention has been paid to these in published studies in comparison to prescription and administrative errors.16,17 There are a limited number of studies that have reported on dispensing errors in community and hospital pharmacies; however, one review study18 was conducted in 2008 to evaluate these studies. The present review focuses on dispensing errors in hospital pharmacies only, as this is a specific angle and does not involve working patterns or systems between the community and hospital pharmacies. Accordingly, it allows the researchers to focus purely on hospital pharmacies, characterized by the dispensing of complex regimens for very ill patients in comparison to community pharmacies and different dispensing systems across different hospitals. This systematic literature review therefore aims to investigate the incidence types and factors associated with dispensing errors in hospital pharmacies, as reported in published literature.
Methods
The PubMed, Scopus, Ovid, and Web of Science electronic databases were used to identify relevant published articles from January 2000 to January 2015. The keywords used to search for the relevant studies were as follows: Dispensing, Drug(s), Medication, Medicine(s), Error(s), Incident(s), Near miss(es), Mistake(s), Hospital, Secondary care, Inpatient, Outpatient, Pharmacy, Pharmacist, and Dispensary.
Inclusion and exclusion criteria
“Dispensing error” refers to any error occurring at any dispensing stage in a hospital pharmacy, whether discovered in the pharmacy department or after the medication has left the department. All studies investigating type and/or incidence and/or factors contributing to dispensing errors were included. Studies had to have been undertaken in hospital pharmacies and published in the English language between January 2000 and January 2015.
The researchers excluded any study conducted to identify dispensing errors in community pharmacies or ward stocks or automation dispensing errors. Case reports were not included in this review because they do not reflect the incidence or nature of dispensing errors but rather focus on a specific case. Also excluded were all general medication error studies not specific to dispensing errors as well as conference papers, reviews, opinions, and editorial papers.
Study selection
Initially, the literature search was conducted by the first author (KA); then, titles were exported from the databases into Endnote X7. All the titles were screened by the first author to identify relevant studies; abstracts were then examined by the first author. Another reviewer (NU) independently reviewed the titles, abstracts, and articles to determine the relevance of studies in terms of meeting the criteria and to exclude irrelevant titles.
Quality assessment
The quality of all selected studies was assessed using 12 criteria outlined by Allan and Barker19 and modified by Alsulami et al16 and Ghaleb et al17 in order to apply to any type of medication error study. The definition of what constitutes a medication error was changed to a definition of what constitutes a dispensing error. The selected studies had to satisfy a minimum of six criteria from the following list:
Aims/objectives of the study clearly stated
Definition of what constitutes a dispensing error
Error categories specified
Error categories defined
Presence of a clearly defined denominator
Data collection method described clearly
Setting in which study conducted described
Sampling and calculation of sample size described
Reliability and validity measures applied
Limitations of study listed
Indication of any assumptions made
Ethical approval obtained.
Results
The keyword search resulted in a total of 3,767 studies across all the databases accessed. Duplicate studies were excluded, bringing the total down to 2,929. Following this, article titles and abstracts were reviewed and any irrelevant studies were excluded, which resulted in 2,908 articles being discarded. Finally, the remaining 21 articles were assessed for suitability, of which 15 publications fulfilled the inclusion and quality assessment criteria (Figure 1). All of these 15 studies were conducted in four countries: the UK (six), Brazil (four), the USA (three), and France (two).
Quality assessment
The results of the application of the quality assessment criteria were that one of the selected studies fulfilled eleven criteria,20 one met ten criteria,21 four met nine criteria,22–25 four met eight criteria,26–29 three met seven criteria,30–32 and two met six criteria.33,34 Only eight studies had obtained ethical approval. Two studies reported that ethical approval was not required, and five did not clearly state whether ethical approval had been obtained or not.
Research methods used in selected studies
Two primary methods were used within the selected studies: retrospective and prospective. Six were retrospective studies, of which five studies were conducted by reviewing incident reports,20,21,26,33,34 and one was conducted by reviewing patients’ charts.32 By contrast, eight were prospective studies, of which seven used the direct observation method for the dispensary team,22–24,27,28,30,35 one was conducted by used face-to-face interviews with the dispensary team to investigate factors associated with labeling errors.33 Furthermore, one study used a mixed method approach; the first part focused on observation to detect dispensing error types, and the second part involved interviewing the dispensary team to investigate the causes of dispensing errors.25 All Brazilian studies employed direct observation to investigate dispensing errors. By contrast, the majority (80%) of UK studies relied on retrospectively reviewing incident reports. A brief description of these studies is presented in Table 1.
Table 1
Description for the identified published studies
| Study | Country | Type of study | Duration | Setting | Outcomes |
|---|---|---|---|---|---|
| Bohand et al23 | France | Prospective, direct observation by pharmacists and nurses to detect unit dose DEs | (2 months) March–April 2007 | Central pharmacy, unit dose for cardiovascular ward (30 beds) of the 354 bed Percy military hospital | 179 dispensing errors were detected from 7,249 units dose filled; the most common dispensing error types were incorrect dose 57 (31.8%) and omission 54 (30.2%). 86.6% of the DEs were detected by pharmacists during final check. |
| James et al20 | UK | Retrospective, analyzed prevented and unprevented DEs reported to UK dispensing error analysis scheme (UKDEAS) | (3 months) September–December 2005 | 17 acute hospitals in Wales | 334 dispensing errors reported; 35 unprevented DEs and 339 prevented DEs. 157 (54%) of prevented DEs and 13 (37%) of unprevented DEs were labeling errors, for example, labeling wrong drug (prevented, n=15; unprevented n=6). Dispensed wrong drug strength (prevented, n=46; unprevented n=2). Look-alike/sound-alike, high workload, and inexperienced staff were the most commonly contributed factors reported. |
| Irwin et al26 | UK | Retrospective, analyzed incident reports | (5 years) July 2005–March 2010 | 25 Scottish hospitals | 573 dispensing errors reported; the most frequent dispensing error types were dispensed wrong drug 110 (19.2%) and dispensed strength 96 (16.8%). The most frequent distributed factor reported were the medicines’ similarity in name, high workload, and inexperienced staff. |
| Bonifacio Neto et al22 | Brazil | Prospective, direct observation | (2 months) July–August 2011 | Central pharmacy, unit dose for cardiovascular and pulmonary ward (36 beds) of the 280 bed university hospital | 1,611 dispensing errors were detected from 4,837 dispensed items; dispensed medicines without the described pharmaceutical form was the most common error (n=1,396, 86.6%). |
| James et al21 | UK | Retrospective, analyzed incident reports | (2 years) January 2003–December 2004 | 20 Welsh NHS hospital pharmacies | 1,005 dispensing errors reported to UKDEAS; the most frequent errors were dispensed incorrect strength 241 (24%), incorrect drug 168 (17%), and wrong form 134 (13%). The most common medicine involved in DEs was insulin (n=34). Look-alike/sound-alike, high workload, low staffing, and inexperienced staff were the most commonly contributed factors reported. |
| Beso et al25 | UK | Prospective by identified DEs in the final check, then interview with pharmacy staff who made the error to explore the causes | (2 weeks) June 17–28, 2002 | Teaching hospital in London (450 beds) | The rate of dispensing errors was 2.7% (130/4,849); dispensed wrong quantity was the most common errors (n=38, 29%), then labeling wrong quantity (n=18, 13.8%). High workload, low staff, interruptions, look-alike/sound-alike, and lack of knowledge about the availability of different medicines and formulation were the most common reported contribution factors. |
| Anacleto et al29 | Brazil | Prospective, direct observation | (21 days) September 2002 | Unit dose in Belo Horizonte hospital pharmacy (286 beds) | 719 dispensing errors were detected from 2,143 dispensed items; the most frequent DEs were dose omission (n=412, 57.3%) and dispensing wrong quantity (n=91, 12.7%). |
| Rolland34 | USA | Retrospective, analyzed incident reports | (4 years) October 1997–September 2001 | Eight different sections at Central Arkansas Veteran’s Healthcare System | 82 dispensing errors were reported; dispensing wrong medicines (n=31, 37.8%), dispensing to wrong patient (n=24, 29.2%), and dispensing wrong dose (n=21, 25.6%) were the most common DEs types. |
| Seifert and Jacobitz32 | USA | Retrospective, chart review | (35 months) January 1999–November 2002 | All drug exposures reported to Midwest regional poison control centers | 40 dispensing errors reported among of 77,992 drug exposures reports; 20 DEs (50%) were substitution errors and 17 DEs (42.5%) were labeling errors. |
| Rissato and Romano-Lieber30 | Brazil | Prospective, direct observation | (16 days) January 4–19, 2010 | Central pharmacy, unit dose for surgical ward (30 beds) of university hospital (104 beds) | 61 dispensing errors were observed from 1,963 prescribed drug items; the most frequent DEs were dose omission 14 (23%) and dispensed nonprescribed medication. |
| Cina et al24 | USA | Prospective, direct observation | (7 months) February–August 2003 | Central pharmacy, unit dose at tertiary academic medical center (725 beds) | 5,075 (3.6%) dispensing errors were observed from 140,755 doses; 4,016 DEs prevented and 1,059 were unprevented DEs. The most frequent dispensing error types were dispensing wrong quantity (n=2,978, 59%), wrong strength (n=571, 11%), and wrong drug (n=554, 11%). |
| Costa et al28 | Brazil | Prospective, direct observation | (27 days) 25 August–20 September | Central pharmacy, unit dose at pediatric hospital (96 beds) | 300 (11.5%) dispensing errors were observed from 2,620 observed doses. 43.3% missing dose, 25% dose added, and 13.3% omission. |
| Anto et al31 | UK | Retrospective, analyzed incident reports | (4 years) January 2005–December 2008 | Two main pharmacies at NHS Foundation Hospital Trust in London (1,200 beds) | 911 prevented and unprevented dispensing errors; the most frequent DEs were dispensing wrong strength 13.4% (n=122), dispensing wrong drug 7.13% (n=65), and dispensing wrong form 2.6%. |
| Bohand et al27 | France | Prospective, direct observation | (8 months) April–December 2006 | Central pharmacy, unit dose Percy military hospital (354 beds) | 706 dispensing errors were observed from 88,609 doses; the most dispensing error types were wrong dose (n=265, 37.5%) and omission dose (n=186, 26.3%). |
| Anto et al33 | UK | Prospective, face-to-face interviews | (3 months) September–November 2008 | A 1,200 bed NHS Foundation Trust | 42 labeling incidents were recorded. The most common contributed factors were: high workload, limited staff, lack of knowledge, lack of concentration, hurrying through tasks, and illegible handwriting. |
Abbreviations: DE, dispending error; NHS, National Health Service.
Definition of dispensing errors
None of the six studies reviewed in this paper define the term “dispensing error”. However, definitions of dispensing errors were varied in the other published studies20,22,23,25,27,30,35 (Table 2). The definitions given in these studies are very similar; for example, the definition of a dispensing error is described as a discrepancy between the prescribed medication and actual medicine dispensed by the pharmacy. Some studies20,24 use other definitions to distinguish between a dispensing error that is intercepted before the medicine leaves the pharmacy and after the medicine leaves the pharmacy. The errors detected after the medicines left the pharmacy were defined as unprevented (undetected) dispensing errors, and errors that were detected and reported before the medicines left the pharmacy were defined as prevented (detected or near miss[es]) dispensing errors.
Table 2
Definition of dispensing errors
| Term | Definition | References |
|---|---|---|
| Dispensing error | “A discrepancy between the interpretable written prescription, including modifications made by a pharmacist following contact with the physician or in accordance with pharmacy policy, and the contents of the medication cassette”. | 23 |
| “Deviation from a written prescription/medication order, including pharmacists’ written endorsem*nts, occurring during the dispensing process of selecting and assembling medication (drug/content errors), generating and affixing dispensing labels (labeling errors) and issue of dispensed products to patients (issue errors)”. | 20 | |
| “Discrepancy between the prescribed medication and the content dispensed by the pharmacy”. | 22 | |
| “A deviation from an interpretable written prescription or medication order, including written modifications to the prescription made by a pharmacist following contact with the prescriber or in compliance with pharmacy policy”. | 25 | |
| “Discrepancy between the written instruction found on the prescription order form and the accomplishment of this instruction by the pharmacy when the drug was dispensed to the wards or hospital services”. | 35 | |
| “Any deviation from the written or oral prescription, including written modifications by the pharmacist following contact with the prescriber or in compliance with pre-established norms and protocol, and any deviation from the stipulations of the appropriate regulatory agencies or norms was considered a drug-dispensing error”. | 30 | |
| “Any discrepancy between dispensed medications and physician orders. Any deviation from standard pharmacy policies”. | 24 | |
| “Any discrepancy between the original or modified approved written prescription, and the contents of the medication cassette”. | 27 | |
| Unprevented dispensing incidents | “Dispensing errors detected after the medication has left the pharmacy”. | 20,24 |
| Prevented dispensing incidents | “Dispensing errors detected during the dispensing process before the medication had left the pharmacy”. | 20,24 |
Incidence of dispensing errors
This review identifies that there is variation in the rates of dispensing errors reported, determined as the number of dispensing errors divided by the number of dispensed items. The dispensing error rate detected using the prospective observation method22–24,27,28,30,35 is between 0.79% and 33.5%. By contrast, in just two retrospective studies of incident reports,20,21 the rate of dispensing errors was reported as being between 0.0147% and 0.13%, with more prevented dispensing error rates than unprevented dispensing error rates. In a study by James et al,20 which reviewed incident report to identify dispensing errors, the rate of prevented dispensing errors is given as 0.13% and 0.016% for unprevented dispensing errors. By contrast, in Cina’s study,24 which used the observation method to detect dispensing errors, the rate of prevented dispensing errors was found to be 2.9%, and 0.57% for unprevented dispensing errors.
Dispensing error types
In the identified published studies of dispensing errors, several categories were used to classify the different types of errors that occur during the dispensing process. Fourteen reviewed studies classified dispensing errors.20–32,34 All of the studies that identified the types of dispensing errors (14/14) reported that dispensing the wrong medicine was one of the most common error types. Other frequent dispensing errors reported in these studies include dispensing the wrong drug strength (11/14) and dispensing the wrong dosage form (9/14). Table 3 shows the types of dispensing errors cited in the identified published studies.
Table 3
Types of dispensing error
| Reference | 23 | 20 | 26 | 22 | 21 | 25 | 35 | 34 | 32 | 30 | 24 | 28 | 33 | 27 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Content errors | ||||||||||||||
| Wrong medicine dispensed | X | X | X | X | X | X | X | X | X | X | X | X | X | X |
| Wrong drug strength dispensed | X | X | X | X | X | X | X | X | X | X | X | |||
| Wrong dosage form dispensed | X | X | X | X | X | X | X | X | X | |||||
| Expired medicine dispensed | X | X | ||||||||||||
| Omission of item | X | X | X | X | X | X | X | X | ||||||
| Wrong quantity dispensed | X | X | X | X | X | X | ||||||||
| Other content error | X | X | X | X | X | X | ||||||||
| Labeling errors | ||||||||||||||
| Wrong patient name | X | X | X | X | X | |||||||||
| Wrong medicine name | X | X | ||||||||||||
| Wrong medicine strength | X | X | ||||||||||||
| Wrong frequency | ||||||||||||||
| Wrong dosage form | X | |||||||||||||
| Wrong date | ||||||||||||||
| Wrong instructions | X | X | X | |||||||||||
| Completely wrong label | ||||||||||||||
| Incomplete information | ||||||||||||||
| Other labeling error | X | X | X | X | X | X | ||||||||
| Other error | X | X | ||||||||||||
Note:
X denotes inclusion in selected studies.
Potential risk of dispensing errors
In the reviewed studies, various categories were employed to evaluate the potential risks of dispensing errors. Six identified studies20,21,23,24,26,34 assessed the potential risks of dispensing errors. The majority of the dispensing errors in the reviewed papers were of minor clinical significance or caused no harm. However, some cases were serious and could have caused death; for example, a pharmacist dispensed an incorrect dose of verapamil 240 mg instead of 40 mg to an 86-year-old woman.23
Factors associated with dispensing errors
Only five identified published studies discussed contributing factors associated with dispensing errors.20,21,25,26,33 The factors most commonly associated with dispensing errors were high workload, low staff numbers, mix-up of look-alike/sound-alike drugs, and dispensary staff’s lack of knowledge/experience. More contributing factors are presented in Table 4.
Table 4
Dispensing error contributed factors
| Reference | 20 | 26 | 21 | 25 | 33 |
|---|---|---|---|---|---|
| Work environment | |||||
| High workload | 70 | 29 | 141 | 22 | X |
| Low staffing | 38 | 14 | 74 | 13 | X |
| Distraction/interruption | 30 | 11 | 14 | X | |
| Noise | 2 | ||||
| Protocols not followed | 11 | 2 | |||
| Dispensary design | 4 | ||||
| Lone worker | 9 | 10 | |||
| Time of day | 29 | X | |||
| Product | |||||
| Look-alike/sound-alike drug name | 37 | 30 | 233 | 9 | |
| Similarity packaging | 3 | ||||
| Poor labeling by manufacturer | 2 | ||||
| Team | |||||
| Inexperienced staff | 73 | 26 | 114 | 7 | X |
| Communication problem | 6 | 43 | 1 | ||
| Loss of concentration/fatigue | 2 | 12 | |||
| Low moral | 2 | ||||
| Urgent deadline/hurrying through tasks | 22 | 4 | 49 | 12 | X |
| Task | |||||
| Complex prescription | 6 | 2 | |||
| Illegible handwriting | 4 | X | |||
| Careless checking | 14 | ||||
| Unfamiliarity with task | 9 | 5 | |||
| Patient demanding/aggression | 5 | ||||
Notes:
The numbers denote how many times these contributing factors had been reported in the study. X denotes a mention of contributing factors but without numbers of reported incidents.
Discussion
Identifying types of dispensing errors and factors contributing to these errors is the first step in drawing up strategies to reduce such occurrences. The aim of this study was to review studies conducted in hospital pharmacies to identify the incidence and/or types and/or factors contributing to the occurrence of dispensing errors. To the best of the researchers’ knowledge, no previous systematic review has focused on dispensing errors in hospital pharmacies only. This systematic review identified 15 studies carried out in just four different countries. The majority of these studies focus on dispensing error types only, and few studies analyze the severity of the errors, contributing factors, or strategies used to reduce dispensing errors.
Reviewing incident reports retrospectively and direct observation methods were the most commonly employed methods of investigating dispensing errors. All of the Brazilian and French studies used the observational method, while the majority of the UK studies used incident reports. This suggests that reporting on medication errors in the UK is a more common and organized practice. The NRLS began recording such incidents in 2004.37 The NRLS help to provide rich data regarding received medication error reports, which contributes to the information needed to help identify the nature and cause of medication errors. Reporting dispensing errors and near-miss errors is an important strategy to build a safety culture and aid learning from previous errors. In order to encourage reporting, implementing a nonpunitive environment as well as robust facilities to facilitate the reporting process is important.38
In the identified published studies, a number of definitions are provided, all of which agree that a dispensing error is a “discrepancy between the prescription and dispensed medicines”, though some studies add that it can also mean a “discrepancy between the modification made by a pharmacist to the prescription and dispensed medicines”.20,22–25,27,30,35 However, some selected studies do not define the term “dispensing error”. This raises certain questions for the researcher; for instance, whether the errors discussed in those studies include those made by nurses when dispensing medicines in a ward environment.
It was observed that the rates of dispensing errors were reported in all studies that used the observation method and that the rates of these were relatively high. By contrast, just two studies that employed a review of incident reports described the rate of dispensing errors; the rates are not presented in other studies usually because the total number of dispensed items is unknown. The rate of dispensing errors reported in the selected Brazilian studies22,28,29 is very high (11.5%–33.5%), compared with other selected studies in the UK, the USA, and France (3.6%–0.016%). This variation in dispensing error rate might be due to differences in the dispensing system, research methods, or the dispensing error classification used in the Brazilian studies.30 For example, in one Brazilian study,22 ~87% of the dispensing errors were related to dispensed medicine, with no description of the dosage form. This type of dispensing error is not present in the categories included in other studies.
The most common error types reported in the selected studies are: dispensing the wrong drug, dispensing the wrong strength, dispensing the wrong quantity, and omission of items. Omitted dose is the most common dispensing error type in studies focusing on the identification of errors in dispensed items for inpatients (unit dose).23,28–30 Various categories are employed in the selected studies; some of these classifications are comprehensive, such as Beso’s,25 and others22–24,27,30 focus on content errors and do not consider labeling errors. This may be because these studies focus on identifying dispensing errors in unit dose systems; however, labeling errors can have severe risks. For instance, a label with a wrong patient name might cause medicine to be given to a wrong patient.
The most common contributing factors identified in the reviewed studies were: mix-up of look-alikes/sound-alikes, high pharmacy workloads, low staff numbers, inexperienced staff, and rushing to complete tasks. Only five of the selected studies discuss contributing factors: three studies20,21,26 gathered information about contributing factors from incident reports, and two studies25,33 did the same by interviewing dispensary teams to discover contributing factors. None of the selected studies relied on observation to uncover contributing factors.
These results indicate certain limitations in the methods employed to investigate dispensing errors. For example, the incident report approach does not provide a rate of incident occurrence, and so the total number of reported dispensing errors is uncertain, as some errors were not indicated, or indicated but not reported.20 In addition, some of the incident reports did not indicate contributing factors. By contrast, all of the observation studies reported the exact incident rate, but no information was given about contributing factors. While qualitative methods, such as interviews, provided an insight into contributing factors, these studies failed to investigate the types of dispensing errors. In order to resolve these limitations, a mixed methods approach is required for use in future studies if they are to investigate both the type of error and contributing factors; the existing studies that utilized a mixed methods approach provided more and accurate details regarding the nature of errors and the contributing factors.25,39 The unique contribution of the combination method research is that it allows for the integration of results from more than one component of a study.40
Finally, an investigation into dispensing error types and contributing factors in hospital pharmacies is very useful to set strategies to improve patient safety. The Institute for Safe Medication Practices41 recommend some strategies to reduce dispensing errors that are linked to medicines with similar names such as storage in different locations and coloring coding and/or using tall man letter. The NRLS published a guideline booklet7 which aims to minimize contributing factors to dispensing errors through well-designed pharmacies. Moreover, educating the dispensary team about observed errors in order to avoid future errors can be an effective strategy to enhance patient safety.23
Strengths and limitations of this study
To our knowledge, this study is the first systematic review of dispensing errors in hospital pharmacies only. An exhaustive literature search was undertaken which identified all studies fulfilling the inclusion criteria. A quality assessment was performed for each study included in the review.
The limitation of this review is that it is restricted to studies published in the English language, so some studies in different languages are not covered. Another limitation is that “gray literature” (unpublished reports) was not surveyed. These reports may contain useful data, but in the absence of peer-review and concerns about impartiality, their relevance cannot be guaranteed.
Conclusion
Many existing studies identify and discuss dispensing errors in community pharmacies, but few studies have investigated this phenomenon in a hospital pharmacy environment. This review identified just 15 studies conducted in hospital pharmacies. The majority of these studies focus on investigating the types of dispensing errors, and few discussed the factors contributing to these or the strategies used to reduce dispensing errors. Although no evidence was apparent from the review about the impact of dispensing errors on the patient, dispensing errors may lead to a number of situations including inconvenience, confusion, and inappropriate therapy which may result in some degree of harm in some cases. The results of this review highlight the fact that dispensing the wrong medicine is a common dispensing error type, as it is indicated in all selected studies. Future studies investigating dispensing errors should use a mixed methods approach to investigate the contributing factors associated with dispensing errors and explore the strategies employed for reducing these errors. In addition, clear definitions and comprehensive classifications of dispensing error types are still needed.
Footnotes
Disclosure
The authors report no conflicts of interest in this work.
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