Measuring Health Literacy Levels of a Patient Portal Using the CDC’s Clear Communication Index

Alpert, Jordan; Desens, Linda; Krist, Alex H.; Aycock, Rebecca A.; Kreps, Gary L.

doi:10.1177/1524839916643703

Cited by 32 publications

(28 citation statements)

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“…Adapting to the health literacy levels of different mHealth users is one of the most critical communication factors that will influence the effectiveness of mHealth in effectively reaching and influencing system users [2,5,34,36]. Adapting to differing levels of health literacy means that the messaging used in mHealth systems will need to be designed specifically for different groups of users, assuring the utilization of appropriate language, examples, and visuals that are meaningful for these groups of users.…”

Section: Resultsmentioning

confidence: 99%

“…For example, research shows that mHealth systems have been designed for older and younger health care consumers, users with different education levels, people with different sexual orientations, people with drug and alcohol addictions, people from different minority and ethnic groups, people from different countries, including those who speak different languages, all of whom are likely to have different communication preferences and skills [14,[20][21][22][23]30,44,48]. It will be important for mHealth system designers to conduct audience analysis research to evaluate the literacy levels of different mHealth users to determine the best ways to communicate effectively with these groups [2,3].…”

Section: Resultsmentioning

confidence: 99%

“…The Centers for Disease Control and Prevention (CDC) recently introduced an excellent tool for evaluating the health literacy levels of health promotion materials, the CDC's Clear Communication Index, that can be easily applied to the evaluation of mHealth messaging [2]. Similarly, Stoyanov and colleagues [51] recently introduced and tested the Mobile App Rating Scale (MARS), demonstrating that is a simple, objective, and reliable measuring instrument for designing effective mHealth applications.…”

Section: Evaluating Mhealth Applicationsmentioning

confidence: 99%

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The relevance of health literacy to mHealth

Kreps

2017

ISU

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Abstract. This paper examines the importance of health literacy to the design and use of mobile digital health information technology (mHealth) applications. Over the past two decades mHealth has evolved to become a major health communication channel for delivering health care, promoting health, and tracking health behaviors. Yet, there are serious communication challenges that must be addressed concerning the best way to design and utilize mHealth application to achieve key health promotion goals, including assuring the appropriateness and effectiveness of mHealth messaging for audiences with different communication competencies, styles, and health literacy levels, to ensure that mHealth applications are truly effective tools for health promotion.Health literacy is one of the major communication issues relevant to the effective use of mHealth. To be effective, mhealth applications need to match the messages conveyed via these mobile media to the specific health communication needs, orientations, and competencies of intended audience members. Unfortunately, current evidence suggests that many mHealth applications are difficult for audiences to utilize because they provide health information that is not easy for many consumers to understand and apply.Health literacy refers to the ability of participants within the health care system to accurately interpret and utilize relevant health information and resources to achieve their health goals. Evidence suggests that many consumers possess limited levels of health literacy to adequately understand health information, especially when they are feeling ill, since health literacy is both a trait (limited education, language facility, etc.), and a state condition (based on how their current physical and mental states influence their abilities to communicate effectively). Therefore, it is incumbent upon mHealth developers to design and utilize message systems. Strategies for designing and implementing mHealth applications to meet the health literacy levels of different audiences are described in this article.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Evaluating Mhealth Applicationsmentioning

confidence: 99%

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The relevance of health literacy to mHealth

Kreps

2017

ISU

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“…Many consumers have difficulties understanding the health information digital systems provide due to health literacy factors (Amann, Rubinelli, & Kreps, 2015;Kayser, Kushniruk, Osborne, Norgaard, & Turner, 2015). Evidence suggests that too many health information systems use overly complex language and do not include needed explanations and examples to enhance user understanding (Alpert, Desens, Krist, Aycock, & Kreps, 2016). Moreover, few systems enable users to ask questions and provide answers which can clarify their understanding of health information presented (Rubin, 2012).…”

Section: Provide Relevant and Clear Informationmentioning

confidence: 99%

Online Information and Communication Systems to Enhance Health Outcomes Through Communication Convergence

Kreps

2017

Hum Commun Res

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The growing use of digital health communication channels has produced dramatic changes, providing broad access to information for making health decisions and addressing users' emotional needs. Digital health communication channels combine mass and interpersonal communication in different ways. Type 1 convergence occurs sequentially: Individuals obtain health information online that they discuss interpersonally with health providers. Type 2 convergence involves discussions occurring via online health information systems. The effectiveness of these systems depends upon seven communication design and implementation strategies. Emerging interactive health information systems provide customized responses tailored to individuals' specific needs and situations. All these forms of media convergence can improve health education, health promotion, and health behavior change.

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“…Reliability of TAM revealed a Cronbach Alpha of α=. 91. EFA showed that three components explained 73.48% of the variance: Behavioral Intention of Use (14.9%), Perceived Ease of Use (50.74%), Perceived Usefulness (7.84%).…”

Section: Introductionmentioning

confidence: 99%

Users’ Acceptance of Electronic Patient Portals in Lebanon

Honein-AbouHaidar

Antoun

Badr

et al. 2019

Preprint

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Background Acceptance of Electronic patient portal (EPP) is instrumental for its success. Studies on users’ acceptance in the Middle East region are scarce. This study aims to explore factors influencing users’ acceptance of EPP, both patients and providers, at a tertiary care center in Lebanon using the Technology Acceptance Model (TAM). We concurrently test the internal construct validity and the reliability of the TAM. Methods A cross-sectional survey design and the vignette approach were used. For validation, we needed a minimum of 180 patients; all 35 attending physicians and 11 registered nurses were targeted. We used descriptive statistics to calculate the intention to use EPP and its determinants based on the TAM constructs. Exploratory factor analysis (EFA) and structural equation modeling (SEM) were employed to estimate significant path coefficients for patients only as the sample size of providers was too small. Results We had 199 patients, half intended to use EPP; 73% of providers (N=17) intended to use EPP. Perceived ease of use and privacy concerns were significantly higher among providers than patients (Mean (M) = 0.77 vs M= 0.42 (CI: -0.623 ; -0.081)) and (M=3.67 vs M=2.13, CI: -2.16; -0.91) respectively; other constructs were not significantly different. Reliability of TAM revealed a Cronbach Alpha of α=.91. EFA showed that three components explained 73.48% of the variance: Behavioral Intention of Use (14.9%), Perceived Ease of Use (50.74%), Perceived Usefulness (7.84%). SEM found that perceived ease of use increased perceived usefulness (standardized regression weight=0.49); perceived usefulness (0.51) had more predictive value than perceived ease of use (0.27) to explain the behavioral intention of use of the EPP. Conclusions We found that providers valued the usefulness of EPP and were mostly intending to use it. This finding has yet to be tested in future studies testing actual use as intention and actual use may not be concordant. The intention to use among patients was lower than those reported in developed countries. We identified two factors that we need to address to increase use, namely perceived ease and usefulness, and proposed practical implications to address them; future research directions were also discussed.

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Measuring Health Literacy Levels of a Patient Portal Using the CDC’s Clear Communication Index

Cited by 32 publications

References 28 publications

The relevance of health literacy to mHealth

The relevance of health literacy to mHealth

Online Information and Communication Systems to Enhance Health Outcomes Through Communication Convergence

Users’ Acceptance of Electronic Patient Portals in Lebanon

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