Evaluation of the design and structure of electronic medication labels to improve patient health knowledge and safety: a systematic review

INTRODUCTION

Patient misunderstanding of instructions on medication labels is a common cause of medication errors and can result in ineffective treatment. One way to better improve patient comprehension of medication labels is by optimizing the content and display of the information.

OBJECTIVES

To review comparative studies that have evaluated the design of a medication label to improve patient knowledge or safety.

METHODS

Studies were selected from systematic computerized literature searches performed in PubMed, Embase (Elsevier), Cochrane Central (EBSCO), Cumulative Index to Nursing and Allied Health Literature-CINAHL (EBSCO), and Web of Science (Thomson Reuters). Eligible studies included comparative studies that evaluated the design of a medication label to improve patient knowledge or safety.

RESULTS

Of the 246 articles identified in the primary literature search, 14 studies were selected for data abstraction. Thirteen of these studies significantly impacted the patient understanding of medication labels. Three studies included a measure of patient safety in terms of medication adherence and dosing errors. The utilization of patient-centered language, pictograms/graphics, color/white space, or font optimization was seen to have the most impact on patient comprehension.

CONCLUSION

It is essential to present medication information in an optimal manner for patients. This can be done by standardizing the content, display, and format of medication labels to improve understanding and medication usage. Evidence-based design principles can, therefore, be used to facilitate the standardization of the structure of label content for both print and electronic devices. However, more research needs to be done on validating the implications of label content display to measure its impact on patient safety.

SYSTEMIC REVIEW REGISTRATION

PROSPERO CRD42022347510 ( http://www.crd.york.ac.uk/prospero/ ).

The FDA ought to change Plan B's label

This commentary defends 3 arguments for changing the label of levonorgestrel-based emergency contraception (LNG EC) so that it no longer supports the possibility of a mechanism of action after fertilization. First, there is no direct scientific evidence confirming any postfertilization mechanisms. Second, despite the weight of evidence, there is still widespread public misunderstanding over the mechanism of LNG EC. Third, this FDA label is not a value-free claim, but instead it has functioned like a political tool for reducing contraceptive access. The label is laden with antiabortion values (even though EC is contraception, not abortion), and it imposes these values on potential users, resulting in barriers to access such as with Burwell v. Hobby Lobby. These 3 arguments together provide scientific, social, and ethical grounds for the FDA to take the initiate in changing Plan B's drug label.

Effect of warning placement on the information processing of college students reading an OTC drug facts panel

OBJECTIVE

To compare three over-the-counter (OTC) Drug Facts panel versions for information processing optimization among college students.

PARTICIPANTS

University of Houston students (N = 210) participated in a cross-sectional survey from January to May 2010.

METHODS

A current FDA label was compared to two experimental labels developed using the theory of CHREST to test information processing by re-positioning the warning information within the Drug Facts panel. Congruency was defined as placing like information together. Information processing was evaluated using the OTC medication Label Evaluation Process Model (LEPM): label comprehension, ease-of-use, attitude toward the product, product evaluation, and purchase intention.

RESULTS

Experimental label with chunked congruent information (uses-directions-other information-warnings) was rated significantly higher than the current FDA label and had the best average scores among the LEPM information processing variables.

CONCLUSION

If replications uphold these findings, the FDA label design might be revised to improve information processing.