Can improved prescription medication labeling influence adherence to chronic medications? An evaluation of the Target pharmacy label

Challenges encountered by pharmacy staff in using prescription medication labels during medication counselling with older adults and solutions employed: A mixed-methods study

Background

Prescription medication labels (PMLs) predominantly dispensed in English, are an important adjunct to medication counselling. PMLs are routinely used by pharmacy staff to counsel older adults about their medications. This study sought to identify challenges that pharmacy staff observe older adults face in using their PMLs, and to identify and quantify solutions employed by pharmacy staff during medication counselling to address such challenges.

Methods

Ten in-depth interviews were done with primary care pharmacy staff to gather the range of challenges and solutions. Subsequently, a quantitative survey, informed by the qualitative findings, was administered to 121 pharmacy staff to assess if the reported solutions were commonly used.

Results

The two main challenges were incongruity between PML language (English) and older adults' language proficiency, and poor PML legibility. The solutions, classified under three themes, were simplifying medication information on PMLs, supplementing PMLs with additional medication information and mitigating poor readability.

Conclusions

Pharmacy staff observed challenges faced by older adults in using PMLs during medication counselling. Ad-hoc improvisations by pharmacy staff to PMLs were pervasive. System-level PML improvements, such as provision of legible bilingual medication instructions, pharmaceutical pictograms and additional medication information, through patient information leaflets or using quick response (QR) codes on PMLs, should be considered. This will facilitate patient-provider communication, especially in settings with language dissonance between PMLs and patients.

Impact of patient-centered prescription medication labels on adherence in community pharmacy

BACKGROUND

Prescription medication labels are often constructed in a manner which hinders safe and appropriate use of medicines. The United States Pharmacopeia released voluntary standards to revise medication labels in an effort to support patients' understanding and improve medication use.

OBJECTIVE

To examine the impact of label changes on medication adherence before and after pharmacy implementation of the United States Pharmacopeia patient-centered prescription medication label standards.

METHODS

This study used a retrospective pre-post cohort design. Prescription fill claims data were obtained from a community health plan serving Medicaid patients for 1 independent community pharmacy organization across 8 retail pharmacy sites. We calculated medication possession ratios (MPR) and proportion of days covered (PDC) for medications used for contraception, asthma, hypertension, and depression from 15 months before to 13 months after implementation of the label changes.

RESULTS

Findings showed significant increases in mean MPR for asthma controller (increased by 0.111 [t = 0.290, P<0.0001]), antihypertensives (increased by 0.062 [t = 0.146, P < 0.0002]), and contraceptives medications (increased 0.133 [t = 0.209, P < 0.0001]) from preintervention to postintervention periods. Results also revealed increases in mean PDC for asthma controllers (increased by 0.193 [t = 0.267, P < 0.0001]), antihypertensives (increased by 0.067 [t = 0.175, P = 0.049]), and contraceptives (increased by 0.111 [t = 0.208, P < 0.0119]) from preintervention to postintervention periods.

CONCLUSION

We report an association between a change to more patient-centered prescription medication labels and increased medication adherence based on MPR and PDC among Medicaid recipients.

Validation of pharmaceutical pictograms among older adults with limited English proficiency

OBJECTIVE

Pictograms on prescription medication labels enhance medication literacy and medication adherence. However, pictograms need to be contextually validated. We assessed the validity of 52 International Pharmaceutical Federation pictograms among 250 older Singaporeans with limited English proficiency.

METHODS

Participants were randomly assigned 11 pictograms each. For each pictogram, participants were first asked its intended meaning. Then, they were told the intended meaning and asked to rate how well the pictogram represented the meaning, on a scale of 1-7. Pictograms were classified as valid (≥66% participants assigned the pictogram interpreted its intended meaning correctly [transparency criterion] and ≥85% participants rated its representativeness as ≥5 [translucency criterion]), partially valid (only transparency criterion was fulfilled) or not valid. Open-ended questions gathered feedback to improve pictograms.

RESULTS

14 pictograms (26.9%) achieved validity and 6 pictograms (11.5%) achieved partial validity. A greater proportion of pictograms for dose and route of administration, and dosage frequency achieved validity or partial validity versus those depicting precautions, indications or side effects.

CONCLUSION

Majority (61.5%) of the assessed pictograms did not achieve validity or partial validity, highlighting the importance of contextual validation.

PRACTICE IMPLICATIONS

Low pictogram comprehension emphasizes the importance of facilitating pictogram understanding during medication counseling.

Effect of Container Shape, Age, and Visual Acuity on the Readability of Prescription Label Information in Persons With Visual Impairments

Introduction: The readability of prescription drug labels has been found to be faster with labels attached to flat surfaces compared to round surfaces, in persons with visual impairment. This study extends this finding by examining the readability of drug labels, as measured by speed and accuracy, as they interact with factors of age and vision acuity across different container shapes. Methods: A repeated-measure, three-factor design (container shape, age, and vision acuity) with within-subject control was used with 54 adults with vision loss. Participants read 3 unique prescription drug labels across four container shapes, for a total of 12 trials. The amount of time needed to locate and read aloud 6 pieces of label information and the number of errors made in reading were outcome measures. Results: A two-way interaction was found between container shape and acuity for the time it takes to read the label information (Wald χ2 = 22.836, df = 3, p < .001). The legally blind group required more time to read the label and had more variation in mean times across container type, compared to the low vision group. Both age and acuity showed statistically significant ( p < 0.001) main effects on reading accuracy. Discussion: Within the legally blind acuity group, cylinder-shaped containers took statistically significantly longer to read compared to the flat label by 18 seconds. Increased age and lower visual acuity negatively affected reading accuracy, across all container shapes. Implications for Practitioners: Individuals with legal blindness may need more time to read prescription drug labels and may benefit from labels adhered to flat surfaces over traditional cylindrical containers. As medication safety is a critical skill for independent living, practitioners should assess their clients’ ability to access prescription drug label information, keeping in mind that these abilities may differ across different container shapes.

Implementation fidelity of patient-centered prescription label to promote opioid safe use

PURPOSE

Patient-centered labels may improve safe medication use, but implementation challenges limit use. We assessed implementation of a patient-centered "PRN" (as needed) label entitled "Take-Wait-Stop" (TWS) with three deconstructed steps replacing traditional wording.

METHODS

As part of a larger investigation, patients received TWS prescriptions (eg, Take: 1 pill if you have pain; Wait: at least 4 h before taking again; Stop: do not take more than 6 pills in 24 h). Prescriptions labels recorded at follow-up were classified into three categories: (1) one-step wording (Take 1 pill every 4 h [without daily limits]), (2) two-step wording (Take 1 pill every 4 h; do not exceed 6 pills/day), and (3) three-step wording. There were three subtypes of three-step wording: (3a) three-step, not TWS (three deconstructed steps, not necessarily TWS wording), (3b) TWS format, employing three steps with leading verbs, but "with additions or replacements" (eg, replaced "do not take" with "do not exceed"), and (3c) verbatim TWS.

RESULTS

Two hundred eleven participants completed follow-up. Mean age was 44.3 years (SD 14.3); 44% were male. One-step bottles represented 12% (n = 25) of the sample, whereas 26% (n = 55) had two-step wording. The majority (44%, n = 93) had three-deconstructed steps, not TWS (3a); 16% (n = 34) retained TWS structure, but not verbatim (3b). Only 2% (n = 4) displayed verbatim TWS wording (3c). All category three labels (utilizing deconstructed instructions) were considered adequate implementation (62%).

CONCLUSIONS

Exact intervention adherence was not achieved in the majority of cases, limiting impact. Nonetheless, community pharmacies were responsive to new instructions, but higher implementation reliability requires additional supports.

Evaluation of pharmacy-based telephone interventions on medication pick-up rates: a retrospective, quality improvement study at charity outpatient clinics

OBJECTIVES

To evaluate a live telephonic outreach intervention made by clinical pharmacists and clinical pharmacy technicians on medication pick-up rates.

METHODS

A retrospective, quality improvement study conducted at six outpatient charity clinics in Dallas-Fort Worth area between 1 January 2017 and 31 July 2017. A live telephonic call was made by a pharmacy team member if the patient did not pick-up at least one prescription item. Patients may receive more than one call if they did not pick-up medication(s) more than once during the study period. A live telephonic call resulted in three categories: contacted, left a voice message and unable to contact. Medication pick-up rates were obtained from a pharmacy claims database.

KEY FINDINGS

The study population included 1726 individual patients who failed to pick-up at least one medication from Baylor Scott & White Health pharmacy. A total of 2551 live telephonic calls were made for the study population. A total of 1175 live telephonic calls (46.1%, n = 2551) resulted in a patient picking up medication(s). Results from the generalized estimating equation logistic regression models showed that patients who received a voice message (OR: 1.37; 95% CI: 1.05 to 1.80; P < 0.021) or was contacted (OR: 1.99; 95% CI: 1.54 to 2.60; P < 0.001) were more likely to pick-up their medications as compared to the 'unable to contact' group.

CONCLUSIONS

Telephonic interventions from the pharmacy team can serve as a successful means to increase medication pick-up rates among charity clinic patients.

Best-practices for the design and development of prescription medication information: A systematic review

OBJECTIVE

To present evidence supporting best-practices for prescription drug labeling and educational materials.

METHODS

Articles were selected from three online databases (PubMed, Embase, CINAHL). Eligible manuscripts were: 1) English-language, 2) randomized, controlled trials, and 3) focused on improving prescription drug labeling practices.

RESULTS

Forty-nine articles were reviewed, and included both regulated label materials and pharmacy or health systems-generated tools. Best-practices included use of plain language principles, typographic cues, quantitative descriptors, and standardized formats, when applicable. Common outcomes included preference and comprehension, while few studies examined actual medication use (e.g. adherence, harms) or clinical health outcomes. Approximately half of studies directly engaged patients' perspectives in intervention development, which may have helped increase tool effectiveness.

CONCLUSIONS

Several best practices were apparent in the literature, particularly for written materials and pharmacy-generated container labeling. Design principles for supplemental instructions and multimedia tools were less cohesive, albeit less researched. The impact of patient involvement in tool design is promising, though requiring further study.

PRACTICE IMPLICATIONS

Definitive studies to inform practice standards on how to best communicate medication information to consumers are needed, especially as communication modalities continue to evolve. Increased research on if and how to incorporate patient-centered decision-making into the development process should be considered.

A narrative review on do's and don'ts in prescription label writing - lessons for pharmacists

Providing medicines information is a key role of a pharmacist. Miscommunication between pharmacist and patient may lead to adverse drug events or therapeutic failure. The aim of the review was to summarize the available research findings on factors that lead to poor communication between pharmacist and patient when providing written medicines information on dispensing and auxiliary labels and identify successful interventional approaches that help to alleviate these concerns. We selected articles available on PubMed, SAGE, and Google Scholar databases that are relevant to our objective. A total of 33 articles that matched the objectives of this review were retrieved and evaluated by all three authors. It was found that patient literacy levels, number of medicines dispensed, format and organization of the label, complexity of dosing instructions, precision of writing dosing instructions and use of icons, graphics and pictograms were aspects that were frequently used, and hence assessed by research groups on medicine label writing. Most studies reported that simple and straight forward instructions written legibly were better comprehended by patients. Based on our findings, we provide here useful tips for pharmacists on writing dosing instructions for patients. Finally, we spotlight crucial research gaps related to communicating written dosing instructions that need to be addressed in the future.

A Patient-Centered Prescription Drug Label to Promote Appropriate Medication Use and Adherence

BACKGROUND

Patient misunderstanding of prescription drug label instructions is a common cause of unintentional misuse of medication and adverse health outcomes. Those with limited literacy and English proficiency are at greater risk.

OBJECTIVE

To test the effectiveness of a patient-centered drug label strategy, including a Universal Medication Schedule (UMS), to improve proper regimen use and adherence compared to a current standard.

DESIGN

Two-arm, multi-site patient-randomized pragmatic trial.

PARTICIPANTS

English- and Spanish-speaking patients from eight community health centers in northern Virginia who received prescriptions from a central-fill pharmacy and who were 1) ≥30 years of age, 2) diagnosed with type 2 diabetes and/or hypertension, and 3) taking ≥2 oral medications.

INTERVENTION

A patient-centered label (PCL) strategy that incorporated evidence-based practices for format and content, including prioritized information, larger font size, and increased white space. Most notably, instructions were conveyed with the UMS, which uses standard intervals for expressing when to take medicine (morning, noon, evening, bedtime).

MAIN MEASURES

Demonstrated proper use of a multi-drug regimen; medication adherence measured by self-report and pill count at 3 and 9 months.

KEY RESULTS

A total of 845 patients participated in the study (85.6 % cooperation rate). Patients receiving the PCL demonstrated slightly better proper use of their drug regimens at first exposure (76.9 % vs. 70.1 %, p = 0.06) and at 9 months (85.9 % vs. 77.4 %, p = 0.03). The effect of the PCL was significant for English-speaking patients (OR 2.21, 95 % CI 1.13-4.31) but not for Spanish speakers (OR 1.19, 95 % CI 0.63-2.24). Overall, the intervention did not improve medication adherence. However, significant benefits from the PCL were found among patients with limited literacy (OR 5.08, 95 % CI 1.15-22.37) and for those with medications to be taken ≥2 times a day (OR 2.77, 95 % CI 1.17-6.53).

CONCLUSIONS

A simple modification to pharmacy-generated labeling, with minimal investment required, can offer modest improvements to regimen use and adherence, mostly among patients with limited literacy and more complex regimens. Trial Registration (ClinicalTrials.gov): NCT00973180, NCT01200849.

Advancing Best Practices for Prescription Drug Labeling

Objective: Problematic prescription drug labeling has been cited as a root cause of patient misunderstanding, medication errors, and nonadherence. Although numerous studies have recently been conducted to identify and test labeling best practices, the last systematic review on this topic was conducted a decade ago. The objective of this review was, therefore, to examine, summarize, and update best practices for conveying written prescription medication information and instructions to patients. Data Sources: English-language articles published from June 2005 to June 2015 were identified in MEDLINE and CINAHL by searching the following text words: ‘ medication OR prescription OR drug’ AND ‘label OR leaflet OR brochure OR pamphlet OR medication guide OR medication insert OR drug insert OR medication information OR drug information OR instructions’ AND ‘ patient OR consumer.’ Reference mining and secondary searches were also performed. Study Selection and Data Extraction: A total of 31 articles providing evidence on how to improve written, prescription drug labeling for patient use were selected. Two reviewers independently screened articles, rated their quality, and abstracted data. Data Synthesis: Identified best practices included the use of plain language, improved formatting and organization, and more explicit instructions to improve patient comprehension. The use of icons had conflicting findings, and few studies tested whether practices improved knowledge or behaviors with patients’ actual prescribed regimens. Conclusions: Future studies are needed to determine how specific modifications and improvements in drug labeling can enhance patient knowledge and behavior in actual use. Synthesizing best practices across all patient materials will create a more useful, coordinated system of prescription information.

Pharmacy-based interventions to reduce primary medication nonadherence to cardiovascular medications

BACKGROUND

Primary medication nonadherence (PMN) occurs when patients do not fill new prescriptions. Interventions to reduce PMN have not been well described.

OBJECTIVES

To determine whether 2 pharmacy-based interventions could decrease PMN.

DESIGN

Two sequential interventions with a control group were evaluated after completion. The automated intervention began in 2007 and consisted of phone calls to patients on the third and seventh days after a prescription was processed but remained unpurchased. The live intervention began in 2009 and used calls from a pharmacist or technician to patients who still had not picked up their prescriptions after 8 days.

SUBJECTS

Patients with newly prescribed cardiovascular medications received at CVS community pharmacies. Patients with randomly selected birthdays served as the control population.

MEASURES

Patient abandonment of new prescription, defined as not picking up medications within 30 days of initial processing at the pharmacy.

RESULTS

The automated intervention included 852,612 patients and 1.2 million prescriptions, with a control group of 9282 patients and 13,178 prescriptions. The live intervention included 121,155 patients and 139,502 prescriptions with a control group of 2976 patients and 3407 prescriptions. The groups were balanced by age, sex, and patterns of prior prescription use. For the automated intervention, 4.2% of prescriptions were abandoned in the intervention group and 4.5% in the control group (P>0.1), with no significant differences for any individual classes of medications. The live intervention was used in a group that had not purchased prescriptions after 8 days and thus had much higher PMN. In this setting 36.9% of prescriptions were abandoned in the intervention group and 41.7% in the control group, a difference of 4.8% (P<0.0001). The difference in abandoned prescriptions for antihypertensives was 6.9% (P<0.0001) but for antihyperlipidemics was only 1.4% (P>0.1).

CONCLUSIONS

Automated reminder calls had no effect on PMN. Live calls from pharmacists decreased antihypertensive PMN significantly, although many patients still abandoned their prescriptions.

A randomized telephone intervention trial to reduce primary medication nonadherence

BACKGROUND

Primary medication nonadherence (PMN), defined as patients not picking up an initial prescription, can limit the effectiveness of therapy for chronic conditions. Effective interventions to reduce PMN have not been widely studied or implemented.

OBJECTIVE

To evaluate the ability of an additional nurse-directed telephone intervention to reduce PMN in a cohort of patients with persistent nonadherence after repeated pharmacy-based outreach.

METHODS

Patients in the Geisinger Health System receiving new (i.e., initially prescribed) prescriptions sent to CVS pharmacies for medications treating asthma, hypertension, diabetes, or hyperlipidemia were identified. As part of existing programs, all patients received 2 automated and 1 live call from CVS pharmacies encouraging them to pick up their prescriptions; those who had canceled their prescriptions or had not picked them up after the 3 pharmacy interventions were eligible for this study. Patients were then randomized, and the intervention group received telephone outreach from a nursing call center to assess reasons for PMN and encourage pickup of prescriptions, with up to 3 attempts to reach each patient. Medication pickup rates were compared across the intervention and control groups.

RESULTS

Initial PMN rates in the overall population were 6%, lower than previously observed in other studies. A total of 290 patients had not picked up their prescriptions after 3 calls from the pharmacy and were enrolled in the study: 142 in the intervention group and 148 controls. The intervention did not change the rate at which patients picked up their prescriptions: 25% of intervention patients did so compared with 24% of control patients. Multivariate models adjusting for patient characteristics and medication classes did not change the results.

CONCLUSIONS

In a population of patients who had not picked up new prescriptions after 3 calls from the pharmacy, additional nurse-directed outreach did not improve primary medication adherence. Re-engagement with the prescribing clinician may be needed to improve adherence in this patient population. The low rate of PMN in the overall population differed from prior studies in this setting and others and should be assessed in future research.

The legibility of prescription medication labelling in Canada: Moving from pharmacy-centred to patient-centred labels

INTRODUCTION

The legibility of medication labelling is a concern for all Canadians, because poor or illegible labelling may lead to miscommunication of medication information and poor patient outcomes. There are currently few guidelines and no regulations regarding print standards on medication labels. This study analyzed sample prescription labels from Ontario, Canada, and compared them with print legibility guidelines (both generic and specific to medication labels).

METHODS

Cluster sampling was used to randomly select a total of 45 pharmacies in the tri-cities of Kitchener, Waterloo and Cambridge. Pharmacies were asked to supply a regular label with a hypothetical prescription. The print characteristics of patient-critical information were compared against the recommendations for prescription labels by pharmaceutical and health organizations and for print accessibility by nongovernmental organizations.

RESULTS

More than 90% of labels followed the guidelines for font style, contrast, print colour and nonglossy paper. However, only 44% of the medication instructions met the minimum guideline of 12-point print size, and none of the drug or patient names met this standard. Only 5% of the labels were judged to make the best use of space, and 51% used left alignment. None of the instructions were in sentence case, as is recommended.

DISCUSSION

We found discrepancies between guidelines and current labels in print size, justification, spacing and methods of emphasis.

CONCLUSION

Improvements in pharmacy labelling are possible without moving to new technologies or changing the size of labels and would be expected to enhance patient outcomes.

A multifaceted prospective memory intervention to improve medication adherence: design of a randomized control trial

Adherence to prescribed antihypertensive agents is critical because control of elevated blood pressure is the single most important way to prevent stroke and other end organ damage. Unfortunately, nonadherence remains a significant problem. Previous interventions designed to improve adherence have demonstrated only small benefits of strategies that target single facets such as understanding medication directions. The intervention described here is informed by prospective memory theory and performance of older adults in laboratory-based paradigms and uses a comprehensive, multifaceted approach to improve adherence. It incorporates multiple strategies designed to support key components of prospective remembering involved in taking medication. The intervention is delivered by nurses in the home with an education control group for comparison. Differences between groups in overall adherence following the intervention and 6 months later will be tested. Systolic and diastolic blood pressure levels also will be examined between groups and as they relate to adherence. Intra-individual regression is planned to examine change in adherence over time and its predictors. Finally, we will examine the association between executive function/working memory and adherence, predicting that adherence will be related to executive/working memory in the control group but not in the intervention group.

Patients' understanding of prescription instructions in a semi-urban setting in Cameroon

OBJECTIVE

This cross-sectional study investigates the factors associated with patient comprehension of frequently used prescription patterns and explores patients' preferences for the various methods.

METHODS

We interviewed two hundred and four consenting patients selected consecutively from the waiting rooms of the St. Elizabeth Catholic Hospital-Shisong in the north west region of Cameroon. We recorded socio-demographic data and their understanding and preference for four prescription modalities: pictograms, written out, symbols and Latin abbreviations. We studied the relationship between these variables in a logistic multivariate analysis.

RESULTS

Understanding was best with symbols (89.7%) and worst when Latin abbreviations (26.9%) were used. Higher levels of education were associated with better understanding of Latin abbreviations (OR 18.87; 95% CI 2.44-142.86), written out prescriptions (OR 58.82; 95% CI 23.25-333.33), symbols (OR 1.47; 95% CI 4.25-50.00) and pictograms (OR 52.63; 92% CI 1.85-142.86) after controlling for confounding. Participants mostly preferred pictograms (40.7%) and written-out prescriptions (30.9%).

CONCLUSION

Latin abbreviations were the most difficult to understand and should no longer be used. Symbols are more easily understood.

PRACTICE IMPLICATIONS

Latin abbreviations should be discouraged. Symbols are better, especially for patients with low levels of education. Prescribing using pictograms and plain text may facilitate understanding in this setting.

Relationship between self-reported racial composition of high school and health literacy among community health center patients

Intervention and policy approaches targeting the societal factors that affect health literacy (e.g., educational systems) could have promise to improve health outcomes, but little research has investigated these factors. This study examined the associations between self-reported racial composition of prior educational and neighborhood contexts and health literacy among 1,061 English- and Spanish-speaking adult community health center patients. The authors found that self-reported racial composition of high school was a significant predictor of health literacy among those who received schooling in the United States, controlling for race/ethnicity, education, age, country of birth, and survey language. Black and Hispanic patients had significantly lower health literacy than White patients within educational strata among those schooled in the United States. The findings revealed substantial disparities in health literacy. Self-reported racial composition of school context was a significant predictor of health literacy. Transdisciplinary, multilevel intervention approaches are likely to be needed to address the health literacy needs of this population.

Health Literacy INDEX: development, reliability, and validity of a new tool for evaluating the health literacy demands of health information materials

There is no consensus on how best to assess the health literacy demands of health information materials. Comprehensive, reliable, and valid assessment tools are needed. The authors report on the development, refinement, and testing of Health Literacy INDEX, a new tool reflecting empirical evidence and best practices. INDEX is comprised of 63 indicators organized into 10 criteria: plain language, clear purpose, supporting graphics, user involvement, skill-based learning, audience appropriateness, user instruction, development details, evaluation methods, and strength of evidence. In a sample of 100 materials, intercoder agreement was high: 90% or better for 52% of indicators, and above 80% for nearly all others. Overall scores generated by INDEX were highly correlated with average ratings from 12 health literacy experts (r = 0.89, p < .0001). Additional research is warranted to examine the association between evaluation ratings generated by INDEX and individual understanding, behaviors, and improved health. Health Literacy INDEX is a comprehensive tool with evidence for reliability and validity that can be used to evaluate the health literacy demands of health information materials. Although improvement in health information materials is just one aspect of mitigating the effects of limited health literacy on health outcomes, it is an essential step toward a more health literate public.

Design and test of preference for a new prescription medication label

OBJECTIVE

This study measured preference for newly designed prescription labels in comparison with two existing labels from the perspective of patients, pharmacists and physicians, based on three parameters: content, convenience and cosmetic appearance.

SETTING

Participants were interviewed at pharmacies (patients) and at professional meetings (physicians and pharmacists) regarding their preference for the labels.

METHOD

Two new labels (A and B) were designed using Publisher® Software version 2007 based on literature and results from our previous study. New features focusing on content, convenience and cosmetic appearance (3Cs) included a time table for medication administration, indication of medication and warnings, on a redesigned label. These labels were initially tested on a small sample and then revised. A survey instrument was developed to compare currently used labels and modified labels A and B, on the 3Cs.

MAIN OUTCOME MEASURE

The preference of three groups of stakeholders (patients, pharmacists and physicians) were measured for newly designed labels in comparison with two existing labels.

RESULTS

Complete data obtained with 444 patients, 115 pharmacists and 69 physicians indicated that the median age range of participants was between 51 and 64 years. The patient and physician samples consisted of a higher percentage of women. Pharmacists working in chain pharmacies and family practitioners comprised majority of our sample in professional groups. Mean years of experience in pharmacy and physician groups was 18.2 and 26.8 years, respectively. Most patients (94.4%) in the sample had at least high school education. Majority of patients (82.8%) preferred new labels over existing ones and 55.2% preferred label B on all three parameters. Close to two thirds of pharmacists (76.4%) and physicians (75.3%) preferred new labels with 55.3 and 57.9% preferring label B, respectively. Participants cited all the added modifications as reasons for their preference.

CONCLUSION

New prescription labels were favored over existing labels by all stakeholders, for content, convenience and cosmetic appearance. The results may help in making labels more user-friendly and addressing problem areas in labels.

Providing health information to older adults

Providing information to older adults is essential for informed decision-making and good health. Because there are significant deficits in providing information verbally, health professionals must use written information as well. Most studies have focused on the content and literacy of documents. However, the legibility and formatting are critically important for older adults, who are more likely to suffer with visual impairment. Providing written information that is tested for appropriate reading level and for presentation is necessary to ensure that older adults can use the information given. There are a number of tools available that test these aspects of written information, but not one tool that is universally accepted. Further research regarding the design and presentation of written information for older adults is necessary.

Rationale and design of a randomized trial to evaluate an evidence-based prescription drug label on actual medication use

BACKGROUND

Medication errors are an important public health concern, and poor understanding of medication labels are a root cause. Research shows that labels are variable, of poor quality, and not patient-centered. No real-world trials have evaluated whether improved medication labels can affect appropriate medication use, adherence or health outcomes.

TRIAL DESIGN

We developed an evidence-based prescription label that addresses both content and format. The enhanced label includes a universal medication schedule (UMS) that standardizes the directions for use incorporating 1) standard time periods for administration (morning, noon, evening, and bedtime), 2) numeric vs. alpha characters, 3) 'carriage returns' to separate daily dose and 4) a graphic aid to visually depict dose and frequency. We will evaluate the effect of providing this label to randomly sampled patients who receive their care from free clinics, mobile vans and federally qualified health centers (FQHCs) in Northern Virginia. We will recruit patients with diabetes or hypertension; these patients will be randomly assigned to receive all of their medications with improved labels or to receive prescriptions with standard labels. The primary outcome will be the patient's ability to correctly demonstrate dosing instructions. Other outcomes include adherence, error rates and health outcomes.

CONCLUSION

To our knowledge, this trial is the first to evaluate the effect of prescription label improvement on understanding, medication use and outcomes in a clinical setting. If successful, these findings could be implemented broadly to promote safe and appropriate medication use and to support evidence-based standards in the development of labels.

An evaluation of the relationship between the implementation of a newly designed prescription drug label at Target pharmacies and health outcomes

BACKGROUND

Medication errors represent a major public health concern, and inadequate prescription drug labels have been identified as a root cause of errors. A new prescription medication labeling system was implemented by Target pharmacies in May 2005 and aimed to improve health outcomes.

OBJECTIVES

To evaluate whether the new Target label influenced patient health services utilization.

SUBJECTS

Derived from 2 large health plans. RESEARCH DESIGN AND MEASURES: Using administrative claims, we identified patients with 1 of 9 chronic diseases who filled prescriptions at Target pharmacies and a matched sample who filled prescriptions at other community pharmacies. We stratified our cohort into new and prevalent medication users and evaluated the impact of the Target label on outpatient, emergency department and inpatient health services use. We used linear regression and segmented linear regression to evaluate the new-user and prevalent-user analyses, respectively.

RESULTS

Our sample included 23,745 Target pharmacy users and 162,369 matched non-Target pharmacy users. In the new-user analysis, we found no significant change in rates of both outpatient (event rate ratio: 0.53; 95% CI: 0.15-1.86) and inpatient and emergency department (Event rate ratio: 0.88; 95% CI: 0.62-1.24) health services utilization in Target users after implementation when compared with non-Target users. Similarly, in the prevalent user analysis, we found no change in the level or slope of outpatient or emergency/inpatient services in Target users after implementation of the new label when compared with non-Target users.

CONCLUSIONS

We found no statistically significant change in health services use attributable to the implementation of the new prescription drug label at Target pharmacies. These findings highlight the challenge of influencing health outcomes with interventions to improve health literacy.