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Journal of the American Medical Informatics Association : JAMIA logoLink to Journal of the American Medical Informatics Association : JAMIA
. 2018 May 22;25(7):872–884. doi: 10.1093/jamia/ocy043

Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs

Christine M Cheng 1,, Alejandra Salazar 2, Mary G Amato 2,3, Bruce L Lambert 4,5, Lynn A Volk 6, Gordon D Schiff 2
PMCID: PMC7647046  PMID: 29800453

Abstract

Objective

To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.

Methods

We extracted drug indications disease concepts from the MedKnowledge Indications module from First Databank Inc. (South San Francisco, CA) and associated them with drugs on the Institute for Safe Medication Practices (ISMP) list of commonly confused drug names. We used high-level concepts (rather than granular concepts) to represent the general indications for each drug. Two pharmacists reviewed each drug’s association with its high-level indications concepts for accuracy and clinical relevance. We compared the high-level indications for each commonly confused drug pair and categorized each pair as having a complete overlap, partial overlap or no overlap in high-level indications.

Results

Of 278 LASA drug pairs, 165 (59%) had no overlap and 58 (21%) had partial overlap in high-level indications. Fifty-five pairs (20%) had complete overlap in high-level indications; nearly half of these were comprised of drugs with the same active ingredient and route of administration (e.g., Adderall, Adderall XR).

Conclusions

Drug indications data from a drug knowledgebase can discriminate between many LASA drugs.

Keywords: indications, look-alike-sound-alike, LASA, medication safety

Introduction

Confusion involving look-alike, sound-alike (LASA) drug names is a known source of preventable medication error that can lead to adverse events, serious patient harm, and substantial healthcare costs.1–4 Various patient safety organizations, accrediting bodies, and regulatory agencies have advocated for strategies to identify and manage risks associated with LASA drugs.5–7 Examples include the use of bar code technology, Tall Man (mixed case) lettering, separate storage of LASA drugs, inclusion of both brand and generic medication names on orders and labels, specifying the purpose of the drug when it is prescribed, and checking that a patient’s active diagnosis matches the indication of a drug prior to dispensing or administering the drug.5–7 Regulatory agencies, including the Joint Commission, are encouraging organizations to proactively identify LASA pairs and take action to prevent medication errors with LASA drugs.8 The U.S. Food and Drug Administration (FDA) and Health Canada have also issued guides to identify potentially confusing drug names during the premarket phase of drug development.9–11 The expanding use of electronic health records has the potential to reduce LASA errors due to improved legibility and more efficient and accurate transmission of prescriptions. However, computerized systems can also introduce LASA errors. Pick-lists where LASA drugs appear next to each other and variation in the format of drug name displays on order screens, for example, can increase the risk of drug selection errors.12,13

As part of a larger project that advocates for incorporating indications in the prescription ordering phase, we conducted a study to determine whether drug indications knowledgebase content could be used to distinguish between LASA drugs.14 We used the MedKnowledge Indications module from First Databank, Inc. (South San Francisco, CA) as the source of drug indications data, and the nine-page listing of confused drug names maintained by the Institute for Safe Medication Practices (ISMP) as our source for LASA drugs.15,16 The purpose of this project was to determine whether drug indications could potentially be used to discriminate between LASA drug names.

Methods

Data Sources

ISMP’s list of confused drug names is a compilation of generic and brand drug name pairs reported to ISMP as having caused drug errors due to name confusion.16 Since the drug name pairs are a cumulative collection of drug name pairs over time, we used the drugs@fda database and FDA National Drug Code directory to identify and exclude drugs that were no longer marketed in the U.S. or branded products that had undergone a brand name change.17,18

We used the Indications module from First Databank as the source of drug indications.15 The Indications module is a proprietary knowledgebase that includes FDA-approved and “off-label” indications for prescription and non-prescription drugs and is used in many applications within health care, including clinical decision support. Module content is specific to the active ingredient, dose form, strength and route of administration for a given drug. Reference sources used to compile and update indications data include the manufacturer product labeling, medical reference texts, treatment guidelines, expert consensus statements and primary medical literature. FDA-approved indications may also be removed from a drug in the module if the drug is no longer the standard of care for the indication, e.g., penicillin G for treatment of Neisseria gonorrhea infection. The Indications module excludes most dietary supplements, herbal products, large volume parenteral products, diluents, veterinary drugs, medical supplies, medical devices, and bulk drug substances used in compounding.

The Indications module is used in conjunction with a proprietary concept-based medical vocabulary called the First Databank Medical Lexicon (FML).19 FML is comprised of disease concept codes and descriptions that represent medical diagnoses, disease states, and health-related conditions or procedures. Examples of disease concept descriptions include “mania associated with bipolar disorder” or “loss of bone mineral density due to aromatase inhibitor therapy.” Disease concept descriptions can be searched or displayed using either professional terminology (e.g., post herpetic neuralgia), medical abbreviations (e.g., PHN) or consumer-friendly terms (e.g., nerve pain after herpes). FML disease concepts are also mapped to interoperable terminologies (e.g., ICD, SNOMED) to allow for related concept searching.

We had considered using ICD or SNOMED terms to represent drug indications but found that the standardized code sets did not adequately address certain concepts such as disease prevention (e.g., prevention of gastrointestinal ulcer), diagnostic testing for disease, or treatment of symptoms related to disease (e.g., anemia due to bleeding uterine leiomyoma). We chose to use the FML medical vocabulary because we had access to the content, and it offered a more precise representation of drug indications than what we could find in the standardized terminologies.

Because disease concept descriptions exist at varying levels of granularity for different drugs, and drugs may be associated with many disease concepts, we used two data elements in the Indications module – the disease concept proxy and the disease concept grouping – to identify the broad indication(s) for a given drug.

The disease concept proxy represents a single general indication for a drug that is used to facilitate drug-disease interactions checking. For example, many antibiotics are assigned a proxy of “bacterial infection” that can be utilized as an inferred patient problem when screening a new prescription for drug-disease interactions. Similarly, antifungal and antiviral agents are assigned a proxy of “fungal infection” and “viral infection,” respectively. In addition, most antineoplastic drugs are assigned a proxy of “malignancy.” For this study, we used the disease concept proxy to represent the high-level indication for anti-infective (antibacterial, antiviral, and antifungal) agents and antineoplastic drugs. For all other drugs, we used the disease concept grouping.

The disease concept grouping is a high-level disease concept (i.e., roll-up term) assigned to each drug-disease concept pair that can be used to shorten long tabular displays of granular indications lists. For example, insulin is associated with the granular disease concepts “gestational diabetes mellitus,” “type 1 diabetes mellitus” and “type 2 diabetes mellitus,” and each of these concepts is associated with the disease concept grouping “diabetes mellitus.” Similarly, for the drug risedronate, the granular disease concepts “post-menopausal osteoporosis” and “glucocorticoid-induced osteoporosis” are associated with the disease concept grouping “osteoporosis” (Figure 1). A given drug may be associated with one or more disease concept groupings in the Indications module.

Figure 1.

Figure 1

Example of disease concept and disease concept groupings for oral risedronate.

We presumed that using high-level concepts would be a conservative and more practical approach to evaluating overlaps in indications between drugs that were paired on the ISMP list.

Data Synthesis

In June 2017, one pharmacist (CC) extracted the high-level indications from the Indications module (either disease concept proxy or disease concept grouping) for each drug on the ISMP list. If only the active ingredient was listed on the ISMP list, then we extracted the high-level indications for every dose form, strength and route of administration available for the product. For example, cyclosporine is associated with distinct indications for its oral, intravenous, and ophthalmic formulations. Each drug-indication set was then compared to its corresponding confused drug-indication set. Two pharmacists (AS, MGA) reviewed the data for accuracy and clinical relevance. Any issues were resolved by consensus through discussion.

We recorded all instances where the drug and confused drug had the same high-level indication (i.e., indication overlap). We then categorized the degree of indication overlap within each drug pair. A “complete overlap” was defined as an instance where all high-level indications for a drug and its corresponding confused drug were the same. A “partial overlap” was defined as an instance where some of the high-level indications for a drug and its corresponding confused drug were the same. A “no overlap” was defined as an instance where none of the high-level indications for a drug and its corresponding confused drug were the same. All data were recorded on a Microsoft Excel (2016) worksheet.

Analysis

We used descriptive statistics to describe the number and proportion of drug pairs with complete, partial, and no overlap in high-level indications. For drug pairs with a partial overlap, we used the Dice Similarity Coefficient (DSC) to compare the similarity in indications between drugs within a pair.20 The DSC has been used to evaluate lexical similarity between text strings.21 We used DSC to measure the extent of overlap between indications within a drug pair. The DSC was calculated as follows:

DSC = (2 * number of shared indications between drug A and drug B)/(number of indications for drug A + number of indications for drug B), where drug A is one drug within a drug pair, and drug B is the corresponding confused drug of the pair.

The DSC value ranges from 0 (no overlap in high-level indications) to 1 (complete overlap in high-level indications). A DSC value between 0 and 1 can be interpreted as the probability that an overlap in high-level indications will occur within a given pair of drugs.

Results

There were 399 unique LASA drug pairs comprised of 646 unique drugs. A total of 123 drugs were excluded because they had been discontinued in the US (n = 89), were non-US products (n = 6), had had a name change (n = 4), represented a drug class instead of an individual drug (n = 2) or were out-of-scope for the Indications module (n = 22). The four drugs that had undergone a name change were Altocor (changed to Altoprev in 2004), Reminyl (changed to Razadyne in 2005), Kapidex (changed to Dexilant in 2010), and Brintellix (changed to Trintellix in 2016).18 The two names that represented a drug class instead of an individual drug were HMG Co-A reductase inhibitors (“statins”) and proton pump inhibitors. Drugs that were out-of-scope for the Indications module included dietary supplements (e.g., Floranex, Florastor, Glycotrol), medical devices (e.g., Healon and Arista AH), bulk fluids (e.g., acetic acid for irrigation), and antiseptic agents (e.g., Cidex, Betadine). A total of 121 drug pairs were excluded because one or both drugs within the pair met exclusion criteria.

The 278 included drug pairs were comprised of 452 unique drugs that were each associated with an average of 2.4 high-level indications (range 1 to 11). There were 197 drugs with a single high-level indication. There were 181 generic names and 271 brand names in our study sample.

There were 165 (59%) pairs with no overlap in high-level indications. There was an average of 5 distinct high-level indications within each drug pair (range 2 to 14) (Table 1).

Table 1.

ISMP confused drug name pairs with no overlap in high-level indications*

Drug A
Drug B
Number of high-level indications within pair*
Name Name type Active ingredient(s) Route(s) Name Name type Active ingredient(s) Route(s)
Aggrastat brand tirofiban IV argatroban generic argatroban IV 2
Anzemet brand dolasetron oral, IV Avandamet brand rosiglitazone /metformin oral 2
BabyBIG brand botulism immune globulin IV HBIG (hepatitis B immune globulin) brand hepatitis b immune globulin IM 2
Bidex brand guaifenesin oral Videx brand didanosine oral 2
DACTINomycin generic dactinomycin IV DAPTOmycin generic daptomycin IV 2
Denavir brand penciclovir topical indinavir generic indinavir oral 2
Farxiga brand dapagliflozin oral Fetzima brand levomilnacipran oral 2
flumazenil generic flumazenil IV influenza virus vaccine generic influenza virus vaccine IM 2
influenza virus vaccine generic influenza virus vaccine IM perflutren lipid microspheres generic perflutren lipid microspheres IV 2
influenza virus vaccine generic influenza virus vaccine IM tuberculin purified protein derivative (PPD) generic tuberculin, purified protein derivative intradermal 2
Keflex brand cephalexin oral Keppra brand levetiracetam oral, IV 2
methylene blue generic methylene blue IV VisionBlue brand trypan blue intraocular 2
nalbuphine generic nalbuphine SC, IM, IV naloxone generic naloxone injection, nasal 2
Oracea brand doxycycline oral Orencia brand abatacept SC 2
Patanol brand olopatadine ophthalmic Platinol brand cisplatin IV 2
sitaGLIPtin generic sitagliptin oral SUMAtriptan generic sumatriptan SC, oral, nasal 2
tetanus diptheria toxoid (Td) generic tetanus and diphtheria toxoids, adult IM tuberculin purified protein derivative (PPD) generic tuberculin, purified protein derivative intradermal 2
tiaGABine generic tiagabine oral tiZANidine generic tizanidine oral 2
traMADol generic tramadol oral traZODone generic trazodone oral 2
Vexol brand rimexolone ophthalmic Vosol brand acetic acid otic 2
Xeloda brand capecitabine oral Xenical brand orlistat oral 2
Antivert brand meclizine oral Axert brand almotriptan oral 3
Apidra brand insulin glulisine SC Spiriva brand tiotropium inhalation 3
Aricept brand donepezil oral Azilect brand rasagiline oral 3
Avandia brand rosiglitazone oral Coumadin brand warfarin oral 3
Clindesse brand clindamycin vaginal Clindets brand clindamycin topical 3
dexmethylphenidate generic dexmethylphenidate oral methadone generic methadone oral, injection 3
Diflucan brand fluconazole oral, IV Diprivan brand propofol IV 3
Diprivan brand propofol IV Ditropan brand oxybutynin oral 3
DOBUTamine generic dobutamine IV DOPamine generic dopamine IV 3
Doribax brand doripenem IV Zovirax brand acyclovir oral, topical 3
edetate calcium disodium generic edetate calcium disodium injection edetate disodium generic edetate disodium IV 3
Enjuvia brand estrogens, conjugated, synthetic b oral Januvia brand sitagliptin oral 3
Fanapt brand iloperidone oral Xanax brand alprazolam oral 3
gentamicin generic gentamicin injection, ophthalmic, topical gentian violet generic gentian violet topical 3
guaiFENesin generic guaifenesin oral guanFACINE generic guanfacine oral 3
Jantoven brand warfarin oral Janumet brand sitagliptin /metformin oral 3
Jantoven brand warfarin oral Januvia brand sitagliptin oral 3
Janumet brand sitagliptin/metformin oral Sinemet brand carbidopa/levodopa oral 3
Kaletra brand lopinavir/ritonavir oral Keppra brand levetiracetam oral, IV 3
LaMICtal brand lamotrigine oral LamISIL brand terbinafine topical, oral 3
Lanoxin brand digoxin oral, injection naloxone generic naloxone injection, nasal 3
lanthanum carbonate generic lanthanum carbonate oral lithium carbonate generic lithium carbonate oral 3
Lantus brand insulin glargine SC Latuda brand lurasidone oral 3
levETIRAcetam generic levetiracetam oral, IV levofloxacin generic levofloxacin oral, IV, ophthalmic 3
lithium generic lithium oral Ultram brand tramadol oral 3
Lunesta brand eszopiclone oral Neulasta brand pegfilgrastim SC 3
Matulane brand procarbazine oral Materna brand prenatal vitamins with calcium/ferrous fumarate/folic acid oral 3
methadone generic methadone oral, injection methylphenidate generic methylphenidate oral 3
methimazole generic methimazole oral metolazone generic metolazone oral 3
Mucinex brand guaifenesin oral Mucinex Allergy brand fexofenadine oral 3
Neulasta brand pegfilgrastim SC Neumega brand oprelvekin SC 3
Neulasta brand pegfilgrastim SC Nuedexta brand dextromethorphan /quinidine oral 3
Prenexa brand prenatal vitamin,calcium/iron/folic acid/docusate/docosahexaenoic acid oral Ranexa brand ranolazine oral 3
Razadyne brand galantamine oral Rozerem brand ramelteon oral 3
Salagen brand pilocarpine oral selegiline generic selegiline oral, transdermal 3
sotalol generic sotalol oral, IV Sudafed brand pseudoephedrine oral 3
sulfADIAZINE generic sulfadiazine oral sulfaSALAzine generic sulfasalazine oral 3
Tenex brand guanfacine oral Xanax brand alprazolam oral 3
Tracleer brand bosentan oral Tricor brand fenofibrate,micronized oral 3
zolpidem generic zolpidem oral, sublingual Zyloprim brand allopurinol oral 3
Zostrix brand capsaicin topical Zovirax brand acyclovir oral, topical 3
Zovirax brand acyclovir oral, topical Zyvox brand linezolid oral, IV 3
Metadate brand methylphenidate oral methadone generic methadone oral, injection 3
Actonel brand risedronate oral Actos brand pioglitazone oral 4
atomoxetine generic atomoxetine oral atorvastatin generic atorvastatin oral 4
Brevibloc brand esmolol IV Brevital brand methohexital injection 4
Clozaril brand clozapine oral Colazal brand balsalazide oral 4
Colace brand docusate oral, rectal Cozaar brand losartan oral 4
Foradil brand formoterol inhalation Fortical brand calcitonin,salmon nasal 4
Levemir brand insulin detemir SC Lovenox brand enoxaparin SC 4
metFORMIN generic metformin oral metroNIDAZOLE generic metronidazole oral, topical, vaginal, IV 4
Miralax brand polyethylene glycol 3350 oral Mirapex brand pramipexole oral 4
Neumega brand oprelvekin SC Neupogen brand filgrastim injection 4
penicillamine generic penicillamine oral penicillin generic penicillin v potassium; penicillin g sodium; penicillin g procaine oral, injection 4
Sonata brand zaleplon oral Soriatane brand acitretin oral 4
Tiazac brand diltiazem oral Ziac brand bisoprolol /hydrochlorothiazide oral 4
Allegra brand fexofenadine oral Viagra brand sildenafil oral 4
Allegra (fexofenadine) brand fexofenadine oral Allegra Anti-Itch (diphenhydrAMINE/allantoin) brand diphenhydramine/allantoin topical 4
amantadine generic amantadine oral amiodarone generic amiodarone oral, IV 5
Amicar brand aminocaproic acid oral, IV Omacor brand omega-3 acid ethyl esters oral 4
Asacol brand mesalamine oral Os-Cal brand calcium carbonate oral 5
azaCITIDine generic azacitidine injection azaTHIOprine generic azathioprine oral, injection 5
buPROPion generic bupropion oral busPIRone generic buspirone oral 5
Femara brand letrozole oral Femhrt brand norethindrone/ethinyl estradiol oral 4
Flonase brand fluticasone propionate nasal Flovent brand fluticasone inhalation 4
Inspra brand eplerenone oral Spiriva brand tiotropium inhalation 4
lamoTRIgine generic lamotrigine oral levothyroxine generic levothyroxine oral, IV 4
Lanoxin brand digoxin oral, injection levothyroxine generic levothyroxine oral, IV 4
Mephyton brand phytonadione (vit k1) oral methadone generic methadone oral, injection 4
Metadate ER brand methylphenidate oral methadone generic methadone oral, injection 4
methadone generic methadone oral, injection metolazone generic metolazone oral 4
oxaprozin generic oxaprozin oral OXcarbazepine generic oxcarbazepine oral 4
Rapaflo brand silodosin oral Rapamune brand sirolimus oral 4
Reprexain brand hydrocodone/ibuprofen oral ZyPREXA brand olanzapine oral, IM 5
rifampin generic rifampin oral, IV rifaximin generic rifaximin oral 5
silodosin generic silodosin oral sirolimus generic sirolimus oral 4
Zelapar (Zydis formulation) brand selegiline oral ZyPREXA Zydis brand olanzapine oral 5
desipramine generic desipramine oral disopyramide generic disopyramide oral 6
Effexor XR brand venlafaxine oral Enablex brand darifenacin oral 6
flavoxATE generic flavoxate oral fluvoxaMINE generic fluvoxamine oral 6
Intuniv brand guanfacine oral Invega brand paliperidone oral 6
NexAVAR brand sorafenib oral NexIUM brand esomeprazole oral, IV 6
Restoril brand temazepam oral RisperDAL brand risperidone oral 6
Zestril brand lisinopril oral Zetia brand ezetimibe oral 6
Cardura brand doxazosin oral Coumadin brand warfarin oral 5
colchicine generic colchicine oral Cortrosyn brand cosyntropin injection 5
Doxil brand doxorubicin pegylated liposomal IV Paxil brand paroxetine oral 7
leucovorin calcium generic leucovorin calcium oral, injection Leukeran brand chlorambucil oral 5
Lotronex brand alosetron oral Protonix brand pantoprazole oral, IV 7
NIFEdipine generic nifedipine oral niMODipine generic nimodipine oral 5
Paxil brand paroxetine oral Taxol brand paclitaxel IV 7
Proscar brand finasteride oral Provera brand medroxyprogesterone oral 5
protamine generic protamine IV Protonix brand pantoprazole oral 7
Zerit brand stavudine oral ZyrTEC brand cetirizine oral 5
cycloSERINE generic cycloserine oral cycloSPORINE generic cyclosporine oral, IV, ophthalmic 8
Thalomid brand thalidomide oral Thiamine brand thiamine oral, injection 8
Advair brand fluticasone /salmeterol inhalation Advicor brand niacin/lovastatin oral 6
CeleBREX brand celecoxib oral Cerebyx brand fosphenytoin injection 6
cetirizine generic cetirizine oral stavudine generic stavudine oral 6
clomiPHENE generic clomiphene oral clomiPRAMINE generic clomipramine oral 6
Diovan brand valsartan oral Zyban brand bupropion oral 6
Enbrel brand etanercept SC Levbid brand hyoscyamine oral 6
heparin generic heparin injection Hespan brand hetastarch in 0.9% sodium chloride IV 6
lamiVUDine generic lamivudine oral lamoTRIgine generic lamotrigine oral 6
Prograf brand tacrolimus oral, IV PROzac brand fluoxetine oral 9
Pyridium brand phenazopyridine oral pyridoxine generic pyridoxine oral, injection 6
Aldara brand imiquimod topical Alora brand estradiol transdermal 6
antacid generic magnesium /aluminum/sodium bicarbonate oral Atacand brand candesartan oral 6
Cozaar brand losartan oral Zocor brand simvastatin oral 6
Zocor brand simvastatin oral ZyrTEC brand cetirizine oral 6
Aciphex brand rabeprazole oral Aricept brand donepezil oral 7
fomepizole generic fomepizole IV omeprazole generic omeprazole oral 7
Lasix brand furosemide oral, injection Luvox brand fluvoxamine oral 7
risperiDONE generic risperidone oral rOPINIRole generic ropinirole oral 7
Xanax brand alprazolam oral Zantac brand ranitidine oral, injection 7
CeleXA brand citalopram oral Cerebyx brand fosphenytoin injection 8
hydrALAZINE generic hydralazine oral, injection hydrOXYzine generic hydroxyzine oral, IM 8
Lexiva brand fosamprenavir oral Pexeva brand paroxetine oral 8
Lipitor brand atorvastatin oral ZyrTEC brand cetirizine oral 7
PARoxetine generic paroxetine oral piroxicam generic piroxicam oral 7
chlordiazePOXIDE generic chlordiazepoxide oral chlorproMAZINE generic chlorpromazine oral, injection 9
chlorproMAZINE generic chlorpromazine oral, injection chlorproPAMIDE generic chlorpropamide oral 9
Hydrea brand hydroxyurea oral Lyrica brand pregabalin oral 9
Accupril brand quinapril oral Aciphex brand rabeprazole oral 8
PriLOSEC brand omeprazole oral Pristiq brand desvenlafaxine oral 11
Zantac brand ranitidine oral, injection ZyrTEC brand cetirizine oral 8
Zegerid brand omeprazole/sodium bicarbonate oral Zestril brand lisinopril oral 8
Diabinese brand chlorpropamide oral Diamox brand acetazolamide oral 10
ZyPREXA brand olanzapine oral, IM ZyrTEC brand cetirizine oral 8
Paxil brand paroxetine oral Plavix brand clopidogrel oral 9
sertraline generic sertraline oral Soriatane brand acitretin oral 9
Adderall brand dextroamphetamine /amphetamine oral Inderal brand propranolol oral 12
Zestril brand lisinopril oral ZyPREXA brand olanzapine oral, IM 9
cyclophosphamide generic cyclophosphamide oral, IV cycloSPORINE generic cyclosporine oral, IV, ophthalmic 10
LORazepam generic lorazepam oral, injection Lovaza brand omega-3 acid ethyl esters oral 17
CeleBREX brand celecoxib oral CeleXA brand citalopram oral 10
cetirizine generic cetirizine oral sertraline generic sertraline oral 14
ARIPiprazole generic aripiprazole oral, IM RABEprazole generic rabeprazole oral 10
Benadryl brand diphenhydramine topical, oral, injection benazepril generic benazepril oral 11
clonazePAM generic clonazepam oral cloNIDine generic clonidine oral, transdermal, epidural 13
cloNIDine generic clonidine transdermal, oral, epidural KlonoPIN brand clonazepam oral 12
SandIMMUNE brand cyclosporine oral, IV SandoSTATIN brand octreotide injection 12
PriLOSEC brand omeprazole oral PROzac brand fluoxetine oral 13
Lopressor brand metoprolol tartrate oral Lyrica brand pregabalin oral 14
*

disease concept grouping or disease concept proxy

Drug A and Drug B names are as represented on ISMP’s list of confused drug names

IM = intramuscular, IV= intravenous, SC = subcutaneous

There were 58 drug pairs (21%) with a partial overlap of high-level indications. Each pair had an average of 5 distinct high-level indications (range 2 to 14). The mean DSC was 0.53 (range 0.17 to 0.93) (Table 2).

Table 2.

ISMP confused drug name pairs with partial overlap in high-level indications*

Drug A
Drug B
Dice similarity coefficient
Name Name type Active ingredient(s) Route(s) Number of high-level indications* Name Name type Active ingredient(s) Route(s) Number of high-level indications*
Activase brand alteplase IV 4 TNKase brand tenecteplase IV 1 0.40
Activase brand alteplase IV 5 Cathflo Activase brand alteplase injection 2 0.57
Alkeran brand melphalan oral, IV 1 Leukeran brand chlorambucil oral 2 0.67
Alkeran brand melphalan oral, IV 1 Myleran brand busulfan oral 2 0.67
ALPRAZolam generic alprazolam oral 1 LORazepam generic lorazepam oral, injection 11 0.17
aMILoride generic amiloride oral 3 amLODIPine generic amlodipine oral 2 0.40
captopril generic captopril oral 4 carvedilol generic carvedilol oral 3 0.57
carBAMazepine generic carbamazepine oral 4 OXcarbazepine generic oxcarbazepine oral 2 0.67
Cardene brand nicardipine 1 Cardizem brand diltiazem oral 3 0.50
CeleXA brand citalopram oral 2 ZyPREXA brand olanzapine oral, IM 5 0.29
clobazam generic clobazam oral 2 clonazePAM generic clonazepam oral 5 0.57
clonazePAM generic clonazepam oral 5 LORazepam generic lorazepam oral, injection 12 0.35
Cymbalta brand duloxetine oral 5 Symbyax brand olanzapine/fluoxetine oral 1 0.33
Depo-Medrol brand methylprednisolone injection 7 Solu-MEDROL brand methylprednisolone injection 8 0.93
Depo-Provera brand medroxyprogesterone IM 2 Depo-subQ Provera 104 brand medroxyprogesterone SC 2 0.50
dimenhyDRINATE generic dimenhydrinate oral, injection 2 diphenhydrAMINE generic diphenhydramine oral, injection, topical 11 0.46
DULoxetine generic duloxetine oral 5 FLUoxetine generic fluoxetine oral 8 0.46
Effexor brand venlafaxine oral 5 Effexor XR brand venlafaxine oral 4 0.89
ePHEDrine generic ephedrine oral, injection 2 EPINEPHrine generic epinephrine injection 11 0.31
fentaNYL generic fentanyl transdermal, nasal, sublingual, transmucosal, buccal, epidural 1 SUFentanil generic sufentanil IV 2 0.67
FLUoxetine generic fluoxetine oral 8 PARoxetine generic paroxetine oral 6 0.86
folic acid generic folic acid oral, injection 2 folinic acid (leucovorin calcium) generic leucovorin calcium oral, injection 3 0.40
HumaLOG brand insulin lispro SC 1 HumuLIN brand insulin regular SC 4 0.40
HumuLIN R U-100 brand insulin regular SC 4 HumuLIN R U-500 brand insulin regular SC 1 0.40
HYDROmorphone generic hydromorphone oral, injection, rectal 1 morphine generic morphine oral, injection, rectal 3 0.50
inFLIXimab generic infliximab IV 3 riTUXimab generic rituximab IV 5 0.25
Isordil brand isosorbide dinitrate oral 2 Plendil brand felodipine oral 3 0.40
ISOtretinoin generic isotretinoin oral 3 tretinoin generic tretinoin oral, topical 4 0.57
Ketalar brand ketamine injection 3 ketorolac generic ketorolac oral, ophthalmic, injection, nasal 3 0.33
ketorolac generic ketorolac oral, ophthalmic, injection, nasal 3 methadone generic methadone oral, injection 2 0.40
lamoTRIgine generic lamotrigine oral 2 levETIRAcetam generic levetiracetam oral, injection 1 0.67
leucovorin calcium generic leucovorin calcium oral, injection 3 levoleucovorin generic levoleucovorin IV 2 0.80
Leukeran brand chlorambucil oral 2 Myleran brand busulfan oral 2 0.50
levothyroxine generic levothyroxine oral, IV 2 liothyronine generic liothyronine oral 3 0.80
Maxzide brand triamterene/hydrochlorothiazide oral 2 Microzide brand hydrochlorothiazide oral 4 0.67
Metadate CD brand methylphenidate oral 1 Metadate ER brand methylphenidate oral 2 0.67
metoprolol succinate generic metoprolol succinate oral 7 metoprolol tartrate generic metoprolol tartrate oral, IV 7 0.86
mifepristone generic mifepristone oral 3 misoprostol generic misoprostol oral 0.67
mitoMYcin generic mitomycin IV 1 mitoXANTRONE generic mitoxantrone IV 2 0.67
Motrin brand ibuprofen oral 4 Neurontin brand gabapentin oral 5 0.22
Mucinex D brand guaifenesin/pseudoephedrine oral 2 Mucinex DM brand guaifenesin/dextromethorphan oral 1 0.67
niCARdipine generic nicardipine oral, IV 3 NIFEdipine generic nifedipine oral 3 0.67
NovoLIN brand insulin regular SC 3 NovoLOG brand insulin aspart SC 1 0.50
OLANzapine generic olanzapine oral, IM 4 QUEtiapine generic quetiapine oral 4 0.75
opium tincture generic opium tincture oral 2 paregoric (camphorated tincture of opium) generic paregoric oral 1 0.67
PENTobarbital generic pentobarbital oral, injection 3 PHENobarbital generic phenobarbital oral, injection 2 0.40
Plavix brand clopidogrel oral 3 Pradaxa brand dabigatran oral 2 0.40
prednisoLONE generic prednisolone oral, ophthalmic, injection 9 predniSONE generic prednisone oral 7 0.88
Provera brand medroxyprogesterone oral 3 PROzac brand fluoxetine oral 8 0.18
quiNIDine generic quinidine oral, injection 2 quiNINE generic quinine oral 2 0.50
Ritalin LA brand methylphenidate oral 1 Ritalin SR brand methylphenidate oral 2 0.67
Sudafed 12 Hour brand pseudoephedrine oral 1 Sudafed 12 Hour Pressure + Pain brand naproxen /pseudoephedrine oral 3 0.50
TNKase brand tenecteplase IV 1 t-PA generic alteplase injection 5 0.33
Tobradex brand tobramycin/dexamethasone ophthalmic 2 Tobrex brand tobramycin ophthalmic 1 0.67
Topamax brand topiramate oral 5 Toprol-XL brand metoprolol succinate oral 7 0.17
Tylenol brand acetaminophen oral 2 Tylenol PM brand acetaminophen/diphenhydramine oral 4 0.33
Wellbutrin SR brand bupropion oral 4 Wellbutrin XL brand bupropion oral 3 0.57
ZyrTEC brand cetirizine oral 4 ZyrTEC-D brand cetirizine /pseudoephedrine oral 2 0.67
*

disease concept grouping or disease concept proxy

Drug A and Drug B names are as represented on ISMP’s list of confused drug names

IM = intramuscular, IV= intravenous, SC = subcutaneous

There were 55 drug pairs (20%) with complete overlap in high-level indications. Each of these pairs shared a single, common high-level indication (Table 3). Most comparisons were between antineoplastic drugs (n = 13, 24%), anti-infective agents (n = 10, 18%), antidiabetic drugs (n = 9, 16%), or opioid analgesics (n = 5, 9%). Nearly half of the drug pairs (n = 24, 44%) were comprised of drugs with the same active ingredient and route of administration.

Table 3.

ISMP confused drug name pairs with complete overlap in high-level indications*

Drug A
Drug B
Number of high-level indications within pair*
Name Name type Active ingredient(s) Route(s) Name Name type Active ingredient(s) Route(s)
Abelcet brand amphotericin b lipid complex IV amphotericin B generic amphotericin b IV 1
Adacel (Tdap) brand diphtheria,pertussis(acellular),tetanus vaccine IM Daptacel (DTaP) brand diphtheria, pertussis (acell), tetanus pediatric vaccine IM 1
ado-trastuzumab emtansine generic ado-trastuzumab emtansine IV trastuzumab generic trastuzumab IV 1
Ambisome brand amphotericin b liposome IV amphotericin B generic amphotericin b IV 1
Avandia brand rosiglitazone oral Prandin brand repaglinide oral 1
Bicillin C-R brand penicillin g benzathine/penicillin g procaine IM Bicillin L-A brand penicillin g benzathine IM 1
CARBOplatin generic carboplatin IV CISplatin generic cisplatin IV 1
ceFAZolin generic cefazolin injection cefTRIAXone generic ceftriaxone injection 1
coagulation factor IX (recombinant) generic factor IX human recombinant IV factor IX complex, vapor heated generic factor IX complex, prothrombin complex concentrate, 3-factor IV 1
DAUNOrubicin generic daunorubicin IV DAUNOrubicin citrate liposomal generic daunorubicin citrate liposomal IV 1
DAUNOrubicin generic daunorubicin IV DOXOrubicin generic doxorubicin IV 1
DAUNOrubicin generic daunorubicin IV IDArubicin generic idarubicin IV 1
Dilaudid brand hydromorphone oral, injection Dilaudid-5 brand hydromorphone oral 1
DOXOrubicin generic doxorubicin IV DOXOrubicin liposomal generic doxorubicin pegylated liposomal IV 1
DOXOrubicin generic doxorubicin IV IDArubicin generic idarubicin IV 1
Dulcolax (bisacodyl) brand bisacodyl oral, rectal Dulcolax (docusate sodium) brand docusate sodium oral 1
Engerix-B adult brand hepatitis b virus vaccine recombinant IM Engerix-B pediatric/adolescent brand hepatitis b virus vaccine recombinant IM 1
epirubicin generic epirubicin IV eribulin generic eribulin IV 1
Fioricet brand butalbital/acetaminophen/caffeine oral Fiorinal brand butalbital/aspirin/caffeine oral 1
glipiZIDE generic glipizide oral glyBURIDE generic glyburide oral 1
HumaLOG brand insulin lispro SC NovoLOG brand insulin aspart SC 1
HumaLOG Mix 75/25 brand insulin lispro protamine and insulin lispro SC HumuLIN 70/30 brand insulin NPH /insulin regular SC 1
HYDROcodone generic hydrocodone oral oxyCODONE generic oxycodone oral 1
Janumet brand sitagliptin /metformin oral Januvia brand sitagliptin oral 1
Menactra brand meningococcal vaccine a,c,y,w-135,diphtheria toxoid conjugate IM Menomune brand meningococcal vaccine a,c,y,w-135 SC 1
morphine – non-concentrated oral liquid generic morphine oral morphine – oral liquid concentrate generic morphine oral 1
MS Contin brand morphine oral OxyCONTIN brand oxycodone oral 1
NovoLIN 70/30 brand insulin NPH /insulin regular SC NovoLOG Mix 70/30 brand insulin aspart protamine /insulin aspart SC 1
NovoLOG FLEXPEN brand insulin aspart SC NovoLOG Mix 70/30 FLEXPEN brand insulin aspart protamine /insulin aspart SC 1
oxyCODONE generic oxycodone oral OxyCONTIN brand oxycodone oral 1
PACLitaxel generic paclitaxel IV PACLitaxel protein-bound particles generic paclitaxel protein-bound IV 1
pazopanib generic pazopanib oral ponatinib generic ponatinib oral 1
PEMEtrexed generic pemetrexed IV PRALAtrexate generic pralatrexate IV 1
Renagel brand sevelamer oral Renvela brand sevelamer oral 1
Rifadin brand rifampin oral, IV Rifater brand rifampin/isoniazid/pyrazinamide oral 1
Rifamate brand rifampin/isoniazid oral rifampin generic rifampin oral, IV 1
Sudafed brand pseudoephedrine oral Sudafed PE brand phenylephrine oral 1
SUMAtriptan generic sumatriptan oral, nasal, SC, transdermal ZOLMitriptan generic zolmitriptan oral, nasal 1
Taxol brand paclitaxel IV Taxotere brand docetaxel IV 1
TOLAZamide generic tolazamide oral TOLBUTamide generic tolbutamide oral 1
valACYclovir generic valacyclovir oral valGANciclovir generic valganciclovir oral 1
Valcyte brand valganciclovir oral Valtrex brand valacyclovir oral 1
vinBLAStine generic vinblastine IV vinCRIStine generic vincristine IV 1
Viracept brand nelfinavir oral Viramune brand nevirapine oral 1
Adderall brand dextroamphetamine /amphetamine oral Adderall XR brand dextroamphetamine /amphetamine oral 2
Claritin-D brand loratadine/pseudoephedrine oral Claritin-D 24 brand loratadine/pseudoephedrine oral 2
Retrovir brand zidovudine oral, IV ritonavir generic ritonavir oral 2
Depakote brand divalproex oral Depakote ER brand divalproex oral 3
HumuLIN brand insulin regular SC NovoLIN brand insulin regular SC 4
Lupron Depot-3 Month brand leuprolide IM Lupron Depot-Ped brand leuprolide IM 4
Ortho Tri-Cyclen brand norgestimate-ethinyl estradiol oral Ortho Tri-Cyclen LO brand norgestimate-ethinyl estradiol oral 4
SEROquel brand quetiapine oral SEROquel XR brand quetiapine oral 4
TEGretol brand carbamazepine oral TEGretol XR brand carbamazepine oral 4
Yasmin brand ethinyl estradiol/drospirenone oral Yaz brand ethinyl estradiol/drospirenone oral 4
Solu-CORTEF brand hydrocortisone injection Solu-MEDROL brand methylprednisolone injection 8
*

disease concept grouping or disease concept proxy

Drug A and Drug B names are as represented on the ISMP’s list of confused drug names

IM = intramuscular, IV= intravenous, SC = subcutaneous

Discussion

This study shows that nearly 60% of the ISMP confused drug pairs included in our dataset had no overlap in indications, and another 21% of the drug pairs had just a partial overlap in indications. Associating indications with these drugs may help to differentiate these pairs and eliminate confusion between them. The remaining 20% of the drug pairs contained drugs with the same high-level indication. Many of these drug pairs were comprised of drugs with the same active ingredient and route of administration and differed only in dosage form (e.g., Seroquel vs Seroquel XR), strength (e.g., Ortho Tri-Cyclen vs Ortho Tri-Cyclen LO) or formulation (e.g., paclitaxel vs paclitaxel protein-bound). Our results are consistent with a recent study that used only FDA-approved indications to differentiate a smaller set (33 drug pairs) of LASA drug names.22 To our knowledge, this is the first study to systematically evaluate the degree of overlapping indications (FDA approved and unapproved) between LASA drugs reported to ISMP.

For decades, leading authorities have recommended adding indications to medication orders to prevent errors and confusion between LASA drugs.5,16 However, there is limited quantitative data on how many LASA drugs mix-ups could be prevented using indications. Our study shows that associating indications to LASA medications is a potentially powerful lever since more than half of these medication pairs could be distinguished even with high-level indications concepts.

Current strategies for avoiding LASA errors include use of bar code technology, storage of LASA drugs apart from each other, use of Tall Man lettering, adding extra security labels to the outer packaging of LASA drugs, and performing medication reconciliation at every clinical encounter.5–7 Adding indications to LASA pairs during prescription ordering is a newer, potentially less labor-intensive way to prevent name confusion electronically and make computerized medication ordering safer.23–28 Drug indications content that is integrated within the electronic health record can allow users to associate indications with drugs being prescribed, dispensed or administered. This may help prevent errors due to choosing the wrong medication because of drug name confusion, as well as facilitate the incorporation of indications in the electronic medical record.14,22,24–25

In 2010, the Joint Commission added a LASA requirement to the Medication Management Standards for organizations to identify confused drug name pairs such as the list provided by ISMP.8 Our study demonstrates that providing information about drug indications could provide organizations and clinicians with another practical tool to prevent drug name confusion errors.

Incorporating indications onto prescription orders and labels might also allow for better medication counseling and potentially empower patients to point out wrong-patient-wrong-medication errors if the reason for use on the medication label is not consistent with their diagnosis.

Limitations

We intentionally used high-level indications rather than granular indications associated with each drug to facilitate indication review and comparison and model an approach to displaying drug indications to prescribers when ordering medications. Thus, our evaluation of indication overlaps is conservative, particularly for anti-infective agents and antineoplastic drugs, where the proxy disease concept was used to represent a single, broad indication for the drug.

Had we reviewed the more granular indications for these drugs, we likely would have had fewer indication overlaps within the drug pairs in our dataset. For example, pazopanib (Votrient), is used to treat renal cell carcinoma and advanced soft tissue sarcoma. Ponatinib (Iclusig), treats chronic myeloid leukemia or Philadelphia chromosome positive acute lymphoblastic leukemia. However, both drugs were associated with “malignancy” in our data and were categorized as having overlapping indications. Thus, our results are likely an underestimate of the number of LASA drugs that could be distinguished by indications.

Similarly, valacyclovir and valganciclovir were both associated with “viral infection” even though the former treats herpes virus infections and the latter treats infections caused by cytomegalovirus. Use of the proxy disease concept may have been too broad for drug pairs where both constituents were anti-infectives or both were antineoplastic drugs. The level of granularity required to distinguish between indications for these drugs would be a valuable area of further study. Most oncology agents, in particular, have a high likelihood of causing significant patient harm if used in error.29,30

Another limitation is that we used a single source of drug indication information rather than cross-referencing multiple sources. The advantage of using the Medknowledge Indications Module was that the content included both FDA-approved and unapproved indications and, once mapped to the products on the ISMP list, could be extracted to a tabular format and reviewed. We used clinician review to evaluate the data for appropriateness and thus felt that the data was valid and appropriate for our study.

We would have liked to have weighted the indications according to the likelihood that a drug would be used for one indication versus another. For example, the most likely indication for regular insulin is diabetes. However, it may also be used with glucose to treat hyperkalemia or as part of a diagnostic procedure to assess cortisol and growth hormone response to hypoglycemic stress. For drug pairs with a partial overlap, defining how common the indication is for a drug could be helpful for determining the likelihood that having an indication associated with the drug would help reduce confusion with a similarly named drug.

We also did not account for how frequently the drug is used. The addition of indications to a drug order or prescription may have more impact in terms of reducing the incidence of inadvertent interchange for commonly prescribed LASA drugs, if associating an indication can differentiate between them. While we are aware that the frequency of prescribing (and how common or uncommon a drug is used) varies among practices and practice settings, we noted that several drug pairs with no overlap in high-level indications were comprised of drugs that were among the top 200 U.S. drugs.31 Examples include sitagliptin/sumatriptan, tramadol/trazodone, atomoxetine/atorvastatin, metformin/metronidazole, bupropion/buspirone, lamotrigine/levothyroxine, and clonazepam/clonidine. Future studies using real-world drug utilization data in different practice settings would better inform the patient safety and electronic medical record design communities on the impact of associating indications with drugs. Nevertheless, we feel that our results give a good general sense of the potential for indications to reduce medication error.

Additionally, we did not evaluate the relative seriousness of adverse outcomes from confusing two similarly named drugs since some drug mix-ups may not be as dangerous as others; confusing drugs with the same pharmacologic action (e.g., antidiabetic drugs glyburide and glipizide) may be less concerning than confusing two drugs with very different uses (e.g., Keflex for bacterial infection versus Keppra for seizures). These are potential areas for future studies.

The ISMP list is also based on reported errors. Since many errors are unreported, the list is likely an underestimate of LASA drugs. Nevertheless, this study shows that associating indications with prescriptions, even at a general and non-granular level, can provide an additional piece of information that clinicians can use to distinguish between many otherwise confusing drug names. Our findings add to the growing body of literature on the use of indications information to prevent medication errors, guide therapy selection, support medication counseling and education, and facilitate deprescribing of medications.23–28 Further study is needed on optimal ways of representing drug indications within drug knowledge bases to support different applications of the data (e.g., indications-based prescribing, patient problem list maintenance, drug regimen review, claims adjudication).32 More research is also needed on practical ways to integrate indications content within the electronic health record such that clinicians can associate a drug’s indication easily and accurately at any point in the medication use process.

Conclusion

Indications can help differentiate the majority of drugs with look-alike-sound-alike names in the current version of the ISMP list, and thus may potentially be used to reduce harm from errors that occur from drug name confusion. Further studies are needed to assess the optimal structuring of indications content, the impact of adding indications to drug prescriptions, and optimal ways to integrate indications content into electronic medication ordering systems and other areas of the clinical workflow.

Funding

This work received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests

Dr Cheng is employed by First Databank Inc. All other authors have no competing interests to declare.

Contributors

Dr Cheng was involved in the study design, data acquisition, analysis, interpretation, and drafting of the manuscript. Drs Salazar and Amato were involved with the design, data validation, data analysis, and critical review of the manuscript. Dr Lambert was involved with the study design, and critical review of the manuscript. Ms. Volk was involved with the study design, data analysis and critical review of the manuscript. Dr Schiff was involved with the study design, data analysis, and critical review of the manuscript. All authors approved of the final manuscript version.

Acknowledgments

The authors acknowledge Jeff Bubp, PharmD and Jim Breen, PharmD for supporting the study and manuscript preparation.

References

  • 1. Hoffman JM, Proulx SM.. Medication errors caused by confusion of drug names. Drug Saf 2003; 267: 445–52. [DOI] [PubMed] [Google Scholar]
  • 2. Hicks RW, Becker SC, Cousins DD, eds. MEDMARX Data Report: A Report on the Relationship of Drug Names and Medication Errors in Response to the Institute of Medicine’s Call for Action. Rockville, MD: U.S. Pharmacopeia; 2008. [Google Scholar]
  • 3. Basco WT, Garner SS, Ebeling M et al. , . Evaluating the potential severity of look-alike, sound-alike drug substitution errors in children. Acad Pediatr 2016; 162: 183–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Bryan R, Aronson JK, ten Hacken P et al. , . Patient safety in medication nomenclature: orthographic and semantic properties of international nonproprietary names. PLoS One 2015; 1012: e0145431.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Look-Alike, Sound-Alike Medication Names WHO Collaborating Centre for Patient Safety Solutions. Patient Safety Solutions, May 2007; volume 1, solution 1. http://www.who.int/patientsafety/solutions/patientsafety/PS-Solution1.pdf. Accessed April 24, 2018.
  • 6. U.S. Food & Drug Administration Strategies to Reduce Medication Errors: Working to Improve Medication Safety https://www.fda.gov/Drugs/ResourcesForYou/Consumers/ucm143553.htm. Accessed October 1, 2017.
  • 7. Joint Commission for Accreditation of Healthcare Organizations. Sound-alike drug names product risk of medication interchange errors. J Pain Palliat Care Pharmacother 2005; 193: 47–53. [PubMed] [Google Scholar]
  • 8. The Joint Commission Look-alike/Sound-alike Drug List https://www.jointcommission.org/lasa/. Accessed November 21, 2017.
  • 9. U.S. Department of Health and Human Services. Draft Guidance for Industry: Best Practices in Developing Proprietary Names for Drugs May 2014. https://fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM398997.pdf. Accessed October 24, 2017.
  • 10. Health Canada Guidance Document for Industry—Review of Drug Brand Names July 2014. https://www.canada.ca/content/dam/hc-sc/migration/hc-sc/dhp-mps/alt_formats/pdf/pubs/medeff/guide/2014-review-examen_drug-medicament_names-marques/2014-review-examen_drug-medicament_names-marques-eng.pdf. Accessed October 24, 2017.
  • 11. Trbovich PL, Hyland S.. Responding to the challenge of look-alike, sound-alike drug names. BMJ Qual Saf 2017; 265: 357–9. [DOI] [PubMed] [Google Scholar]
  • 12. Quist AJL, Hickman T-TT, Amato MG et al. , . Analysis of variations in the display of drug names in computerized prescriber-order entry systems. Am J Health Syst Pharm 2017; 747: 499–509. [DOI] [PubMed] [Google Scholar]
  • 13. Shamliyan TA, Duval S, Du J et al. , . Just what the doctor ordered. Review of the evidence of the impact of computerized physician order entry system on medication errors. Health Serv Res 2007; 43 (1p1): 32–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Schiff G, Seoane-Vazquez E, Write A.. Incorporating indications into medication ordering: time to enter the age of reason. N Engl J Med 2016; 3754: 306–9. [DOI] [PubMed] [Google Scholar]
  • 15. First Databank MedKnowledge Indications module (INDM) South San Francisco, CA: First Databank Inc.; 2017.
  • 16.Institute of Safe Medication Practice (ISMP). List of Confused Drug Names, updated February 2015. https://www.ismp.org/Tools/confuseddrugnames.pdf. Accessed January 10, 2017.
  • 17. US Food & Drug Administration Drugs@FDA: FDA Approved Drug Products Database https://www.accessdata.fda.gov/scripts/cder/daf/. Accessed January 10, 2017.
  • 18. US Food & Drug Administration National Drug Code Directory Database https://www.accessdata.fda.gov/scripts/cder/ndc/default.cfm. Accessed March 8, 2017.
  • 19. First Databank Medical Lexicon. South San Francisco, CA: First Databank Inc; 2017 [Google Scholar]
  • 20. Dice LR. Measures of the amount of ecologic association between species. Ecology 1945; 263: 297–302. [Google Scholar]
  • 21. Griffon N, Kerdelhue G, Soualmia LF et al. , . Evaluating alignment quality between iconic language and reference terminologies using similarity metrics. BMC Med Inform Decis Mak 2014; 141: 17.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Seoane-Vazquez E, Rodriguez-Monguio R, Alqahtani S et al. , . Exploring the potential for using drug indications to prevent look-alike and sound-alike drug errors. Expert Opin Drug Saf 2017; 1610: 1103. 1103-1009. [DOI] [PubMed] [Google Scholar]
  • 23. Rash-Foanio C, Galanter W, Bryson M et al. , . Automated detection of look-alike/sound-alike medication errors. Am J Health Syst Pharm 2017; 747: 521–7. [DOI] [PubMed] [Google Scholar]
  • 24. Galanter W, Falck S, Burns M et al. , . Indication-based prescribing prevents wrong-patient medication errors in computerized provider order entry (CPOE). J Am Med Inform Assoc 2013; 203: 477–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Galanter WL, Bryson ML, Falck S et al. , . Indication alerts intercept drug name confusion errors during computerized entry of medication orders. PLoS One 2014; 97: e101977.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Falck S, Adimadhyam S, Meltzer DO et al. , . A trial of indication based prescribing of antihypertensive medications during computerized order entry to improve problem list documentation. Int J Med Inform 2013; 8210: 996–1003. [DOI] [PubMed] [Google Scholar]
  • 27. Linsky A, Meterko M, Stolzmann K et al. , . Supporting medication discontinuation: provider preferences for interventions to facilitate deprescribing. BMC Health Serv Res 2017; 171: 447.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Wong J, Motulsky A, Abrahamowicz M et al. , . Off-label indications for antidepressants in primary care: descriptive study of prescriptions from an indication based electronic prescribing system. BMJ 2017; 365: j603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Institute for Safe Medication Practices (ISMP). List of High-Alert Medications in Acute Care Settings http://www.ismp.org/Tools/highalertmedications.pdf. Accessed October 24, 2017.
  • 30. Kovacic L, Chambers C.. Look-alike, sound-alike drugs in oncology. J Oncol Pharm Pract 2011; 172: 104–18. [DOI] [PubMed] [Google Scholar]
  • 31. Kane SP. About the ClinCalc DrugStats Database, Version 18.0 ClinCalc. http://clincalc.com/DrugStats/About.aspx. Updated February 3, 2018. Accessed March 25, 2018.
  • 32. Nelson SJ, Oprea TI, Ursu O et al. , . Formalizing drug indications on the road to therapeutic intent. J Am Med Inform Assoc 2017; 246: 1169–72. [DOI] [PMC free article] [PubMed] [Google Scholar]

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