SBIR-STTR Award

Plainlanguagerx: Improving Medication Labels to Reduce Health Disparities
Award last edited on: 8/30/10

Sponsored Program
SBIR
Awarding Agency
NIH : NIMHD
Total Award Amount
$399,675
Award Phase
2
Solicitation Topic Code
-----

Principal Investigator
Dane R Boyington

Company Information

SAI Interactive Inc (AKA: Thinking Media)

340 Frazier Avenue
Chattanooga, TN 37405
   (423) 266-2244
   info@keytrain.com
   www.thinkingmedia.com
Location: Single
Congr. District: 03
County: Hamilton

Phase I

Contract Number: 1R43MD005805-01
Start Date: 7/10/10    Completed: 6/30/12
Phase I year
2010
Phase I Amount
$199,675
Summary Overall, 36% of adult Americans, and 66% of Latinos, lack the level of health literacy needed to understand prescription drug information, such as the dosing instructions on medication container labels. Low health literacy and poor understanding of medication instructions are important contributors to health disparities. They lead to medication non-adherence, lack of chronic disease control, and excess health care utilization and costs. Interventions to enhance the content and format of prescription drug labels could improve medication management and reduce health disparities, particularly among patients with low health literacy or limited English proficiency. A recent Institute of Medicine report highlighted the importance of standardizing medication labels according to available evidence. However, few if any tools have been developed to create and print evidence-based labels, or to accurately translate simplified dosing instructions into other languages. This proposal seeks to develop and evaluate PlainLanguageRx, an innovative technology platform that will enable pharmacists to rapidly produce evidence-based medication container labels in English or Spanish. The Specific Aims are to: 1) Finalize the design of a clearly-formatted, evidence-based medication container label, known as PlainLanguageRx; 2) Develop the PlainLanguageRx software platform that will allow pharmacists to rapidly create evidence-based medication container labels; and 3) Conduct a randomized controlled trial to evaluate the effect of PlainLanguageRx labels, compared to traditional medication labels, on patients' understanding of their medication dosing instructions. The project team consists of experienced software engineers and academic physicians with expertise in business development and clinical research among underserved populations. For Aim 1, we will conduct focus groups and interviews with English- and Spanish-speaking patients, pharmacists, and leading national experts who have agreed to serve as key informants and guide the final label design. In Aim 2, we will develop the PlainLanguageRx software platform and conduct user testing with pharmacists and pharmacy staff to optimize its usability, efficiency, and acceptability. For Aim 3, we will conduct a randomized trial of 400 patients who fill prescriptions at an academically-affiliated community pharmacy. Patients in the intervention group will receive their medications with PlainLanguageRx labels, while those in the control group will receive usual care. The study will evaluate the effect of the PlainLanguageRx labels on patients' understanding of their medication regimen (primary outcome), as well as their self-reported adherence and satisfaction (secondary outcomes). Through a process of development and evaluation that is focused on the needs of both patients and pharmacists, our goal is to produce a software platform that facilitates the rapid creation of evidence-based labels and improves patients' understanding of their medication instructions. This will set the stage for subsequent efforts to disseminate this technology as a strategy to reduce health disparities.

Public Health Relevance:
Relevance According to an Institute of Medicine report, prescription drug information in the United States is overly complex and is misunderstood by many Americans, particularly those with low health literacy or limited English proficiency. This proposal seeks to develop and evaluate PlainLanguageRx, an innovative and affordable technology that will enable pharmacists and pharmacy staff to rapidly create clearly-formatted, evidence-based prescription drug labels in English or Spanish. By helping patients better understand and adhere to medication instructions, this technology has potential to improve disease control and reduce health disparities among groups with low health literacy or limited English proficiency.

Thesaurus Terms:
"21+ Years Old; Adherence; Adherence (Attribute); Adult; American; Analgesic Management; Businesses; Chronic Disease; Chronic Illness; Clinical Research; Clinical Study; Communication; Community Pharmacy; Complex; Computer Programs; Computer Software Development; Computer Software Engineering; Computer Software; Computers; Control Groups; Development; Dose; Drug Labeling; Drug Prescribing; Drug Prescriptions; Drugs; Engineering, Software; Evaluation; Focus Groups; Goals; Group Interviews; Health Care Providers; Health Care Utilization; Health Personnel; Health Status; Healthcare Providers; Healthcare Worker; Heterogeneity, Population; Human, Adult; Immigrant; Institute Of Medicine; Institute Of Medicine (U.S.); Instruction; Intervention; Intervention Strategies; Investigators; Label; Language; Latino; Lead; Level Of Health; Medication; Medication Management; Nas/Iom; On-Line Systems; Online Systems; Package Inserts, Drug; Patient Education; Patient Instruction; Patient Self-Report; Patient Training; Patients; Pb Element; Pharmaceutic Preparations; Pharmaceutical Preparations; Pharmacies; Pharmacists; Pharmacologic Management; Pharmacy Facility; Physicians; Population Heterogeneity; Prescriptions, Drug; Printing; Process; Product Labeling, Drug; Randomized Controlled Trials; Regimen; Reporting; Research Personnel; Researchers; Sbir; Sbirs (R43/44); Self-Report; Small Business Innovation Research; Small Business Innovation Research Grant; Software; Software Engineering; Staging; Technology; Testing; Translating; Translatings; Underserved Population; United States; Adult Human (21+); Chronic Disease/Disorder; Chronic Disorder; Computer Program/Software; Cost; Design; Designing; Develop Software; Developing Computer Software; Disease Control; Disorder Control; Diverse Populations; Drug/Agent; Evidence Base; Experience; Group Intervention; Health Care Personnel; Health Care Service Utilization; Health Care Worker; Health Disparities; Health Disparity; Health Literacy; Health Provider; Health Services Utilization; Healthcare Personnel; Healthcare Service Utilization; Healthcare Utilization; Heavy Metal Pb; Heavy Metal Lead; Heterogeneous Population; Improved; Informant; Innovate; Innovation; Innovative; Innovative Technologies; Interventional Strategy; Language Translation; Medical Personnel; Online Computer; Primary Outcome; Public Health Relevance; Randomized Controlled Study; Randomized Trial; Satisfaction; Secondary Outcome; Software Development; Tool; Treatment As Usual; Treatment Provider; Treatment Utilization; Under Served Population; Underserved People; Usability; Web Based"

Phase II

Contract Number: 5R43MD005805-02
Start Date: 7/10/10    Completed: 6/30/13
Phase II year
2011
Phase II Amount
$200,000
Overall, 36% of adult Americans, and 66% of Latinos, lack the level of health literacy needed to understand prescription drug information, such as the dosing instructions on medication container labels. Low health literacy and poor understanding of medication instructions are important contributors to health disparities. They lead to medication non-adherence, lack of chronic disease control, and excess health care utilization and costs. Interventions to enhance the content and format of prescription drug labels could improve medication management and reduce health disparities, particularly among patients with low health literacy or limited English proficiency. A recent Institute of Medicine report highlighted the importance of standardizing medication labels according to available evidence. However, few if any tools have been developed to create and print evidence-based labels, or to accurately translate simplified dosing instructions into other languages. This proposal seeks to develop and evaluate PlainLanguageRx, an innovative technology platform that will enable pharmacists to rapidly produce evidence-based medication container labels in English or Spanish. The Specific Aims are to: 1) Finalize the design of a clearly-formatted, evidence-based medication container label, known as PlainLanguageRx;2) Develop the PlainLanguageRx software platform that will allow pharmacists to rapidly create evidence-based medication container labels;and 3) Conduct a randomized controlled trial to evaluate the effect of PlainLanguageRx labels, compared to traditional medication labels, on patients'understanding of their medication dosing instructions. The project team consists of experienced software engineers and academic physicians with expertise in business development and clinical research among underserved populations. For Aim 1, we will conduct focus groups and interviews with English- and Spanish-speaking patients, pharmacists, and leading national experts who have agreed to serve as key informants and guide the final label design. In Aim 2, we will develop the PlainLanguageRx software platform and conduct user testing with pharmacists and pharmacy staff to optimize its usability, efficiency, and acceptability. For Aim 3, we will conduct a randomized trial of 400 patients who fill prescriptions at an academically-affiliated community pharmacy. Patients in the intervention group will receive their medications with PlainLanguageRx labels, while those in the control group will receive usual care. The study will evaluate the effect of the PlainLanguageRx labels on patients'understanding of their medication regimen (primary outcome), as well as their self-reported adherence and satisfaction (secondary outcomes). Through a process of development and evaluation that is focused on the needs of both patients and pharmacists, our goal is to produce a software platform that facilitates the rapid creation of evidence-based labels and improves patients'understanding of their medication instructions. This will set the stage for subsequent efforts to disseminate this technology as a strategy to reduce health disparities.

Public Health Relevance:
Relevance According to an Institute of Medicine report, prescription drug information in the United States is overly complex and is misunderstood by many Americans, particularly those with low health literacy or limited English proficiency. This proposal seeks to develop and evaluate PlainLanguageRx, an innovative and affordable technology that will enable pharmacists and pharmacy staff to rapidly create clearly-formatted, evidence-based prescription drug labels in English or Spanish. By helping patients better understand and adhere to medication instructions, this technology has potential to improve disease control and reduce health disparities among groups with low health literacy or limited English proficiency.