Published on 15.05.18 in Vol 6, No 5 (2018): May
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/9831, first published Jan 12, 2018.
Mindfulness-Based Symptom and Stress Management Apps for Adults With Chronic Lung Disease: Systematic Search in App Stores
Background: Up to 70% of lung cancer survivors are affected by chronic obstructive pulmonary disease (COPD), a common, debilitating, comorbid disease. Lung cancer and COPD are both characterized by symptoms such as breathlessness, fatigue, and psychological distress. These distressing chronic symptoms are exacerbated by stress and detract from an individual’s quality of life.
Objective: The aim of this study was to identify and evaluate evidence-based, commercially available apps for promoting mindfulness-based strategies among adults with a COPD or lung cancer history (ie, chronic lung disease).
Methods: For this review, an interdisciplinary research team used 19 keyword combinations in the search engines of Google and iOS app stores in May 2017. Evaluations were conducted on the apps’ (1) content, (2) usability heuristics, (3) grade-level readability, and (4) cultural sensitivity.
Results: The search resulted in 768 apps (508 in iOS and 260 in Google stores). A total of 9 apps met the inclusion criteria and received further evaluation. Only 1 app had below an eighth-grade reading level; the ninth one did not have enough text to calculate a readability score. None of the 9 apps met the cultural sensitivity evaluation criteria.
Conclusions: This systematic review identified critical design flaws that may affect the ease of using the apps in this study. Few mobile apps promote mindfulness-based strategies among adults with chronic lung disease (ie, COPD or lung cancer or both), but those that exist, overall, do not meet the latest scientific evidence. Recommendations include more stringent regulation of health-related apps, use of evidence-based frameworks and participatory design processes, following evidence-based usability practices, use of culturally sensitive language and images, and ensuring that content is written in plain language.
JMIR Mhealth Uhealth 2018;6(5):e124
Prevalence of Lung Cancer and Chronic Obstructive Pulmonary Disease
Lung cancer is the second most commonly diagnosed cancer in the United States, accounting for 13.2% of new cases in 2017 . It is expected that 222,000 new lung cancer cases will be diagnosed in 2017 [ ], adding to the more than 500,000 individuals currently living with the disease. Chronic obstructive pulmonary disease (COPD) is also a common, debilitating disease characterized by breathlessness and fatigue, which affects almost 15 million individuals and is the third leading cause of death [ , ]. Several studies demonstrate strong links between lung cancer and COPD, such as their common environmental, genetic, and epigenetic risk factors and their similar pathogenic mechanisms for activation [ - ]. In particular, those with COPD are 5 times more likely to develop lung cancer than those individuals without the disease [ ]. These links between lung cancer and COPD, in part, explain why up to 70% of lung cancer survivors are affected by COPD and many of the survivors of both diseases describe similar distressing symptoms that negatively affect their daily lives [ , , ]. Therefore, some researchers are proposing additional studies that not only further elucidate the link between COPD and lung cancer (ie, chronic lung disease) but also generate therapies that can be used to alter the mechanisms involved in both disease processes [ , ].
Mindfulness-Based Stress Reduction for Chronic Lung Disease
The 5-year survival rates have steadily improved over the past decade for chronic lung disease; however, these rates are highly dependent on the stage of disease at the time of diagnosis [- ]. Efforts to decrease the burden of chronic lung disease (ie, early detection, improved treatments, symptom management, more accessible smoking cessation strategies) will likely lead to a larger population of longer-term cancer survivors [ , , ]. The American College of Chest Physicians has made recommendations regarding complementary therapy modalities that may improve the quality of life for survivors of chronic lung disease. These therapies are inclusive of mindfulness-based stress reduction (MBSR) strategies such as meditation or yoga, which in turn have shown to relieve symptoms related to chronic lung disease [ , ]. Although MBSR is generally administered in-person, available technologies provide many opportunities for dissemination of these therapies in other ways, to fit individual schedules and needs.
With the growing ubiquity of mobile technologies, survivors are increasingly using the Internet as a resource for health information . According to the Pew Research Center, 72% of Internet users say they have searched online for health information [ ]. Another recent national study suggests more than half of mobile phone users have downloaded a health-related mobile app (henceforth referred to as app) [ ]. These users were also found to place high trust in these apps’ accuracy and experienced positive health effects [ ]. Despite the frequency and use of these technologies, there is no regulatory authority to validate the legitimacy of health-related content published through these commercial apps, nor is there a mechanism to enforce standards to ensure that the information is accessible by diverse populations [ ].
Besides Coulon et al’s  review of stress management apps, there have been no systematic reviews that focused on the evaluation of MBSR apps for individuals with chronic lung disease. Therefore, the objective of our review was to identify and evaluate apps available in the Google Play Store (Android devices) and/or the Apple Store (for iOS-based devices) for promoting mindfulness-based strategies specifically among adults with chronic lung disease. The primary aim was to evaluate whether and to what extent the content of these apps is evidence-based and transparent in its purpose, development, and content (eg, provides contact information for its developers). The secondary aim was to evaluate the usability, readability, and cultural sensitivity of these apps. Our ultimate goal is to determine if these apps can improve the quality of life among racially and ethnically diverse populations of lung disease survivors. Furthermore, we want to make recommendations to improve these apps, so that health information can be more accessible, accurate, and effective for these populations.
Keywords and App Search
A total of 19 keyword combinations were created using COPD or Lung Cancer, followed by MSBR, meditation, breathing, diaphragmatic, stress management, progressive muscle relaxation, or yoga. Each combination was searched in Google and iOS app stores in May 2017 using compatible mobile devices (see).
App Review Overview
We adapted existing procedures by Coulon and colleagues . We evaluated the apps for content, usability heuristics, readability, and cultural sensitivity. Evaluation was conducted in a multidisciplinary group setting involving 5 to 6 reviewers (ie, group evaluation) for content and usability. Readability and cultural sensitivity was conducted independently by 1 and 2 reviewers, respectively (ie, individual evaluation). Drawing on the work of Coulon and colleagues [ ], we used 1 level of inclusion criteria. We used app descriptions to determine whether an app met 1 of the following 4 criteria: (1) available in English, (2) targeted adults with chronic lung disease, (3) was not a duplicate within or across app stores, and (4) was not a service gateway, such as required subscriptions beyond the app. The apps were downloaded for further investigation if the 4 criteria could not be determined from the description ( ).
The 19 keyword combination searches yielded 768 apps—508 apps in the Apple Store and 260 in the Google Play Store.illustrates the procedure for determining if apps met the inclusion criteria. Of these, 37 apps were not in English (criterion 1). Of the remaining 731 apps, 639 did not target adults with chronic lung disease (criterion 2). This left 92 apps, of which 69 were duplicates of each other (ie, failed criterion 3), and 2 required additional subscriptions or purchases (thereby failing criterion 4). Thus, after the inclusion assessment, 21 apps remained. Upon downloading these apps, 4 failed to meet criterion 2 (brief or generic descriptions previously prevented this determination). Moreover, 3 additional apps failed to meet criterion 3 (also because the nature of the content had been obscured until downloading). Of the remaining 14 apps, 5 were irretrievable or malfunctioned during download (ie, failed criterion 5). In total, 9 apps were selected for further evaluation. None of the 9 remaining apps were duplicated across both app stores. In addition, all apps were free, though 1 app had the option to purchase additional breathing exercises.
We established 4 content evaluation domains: (1) evidence of science, (2) scientific strategy and engagement, (3) evidence-based stress management, and (4) transparency in its purpose, development, and content. Although all of our criteria were adapted from Coulon et al’s study, we included 2 of their inclusion criteria as evaluation criteria  (see for domain definitions and their respective criteria). Across the 4 domains, we developed a coding sheet (converted to a Google Form) to determine whether criteria were met, somewhat met, or not met.
The multidisciplinary research team of 5 to 6 reviewers met 5 times to conduct these evaluations in a group setting. We operationalized this evaluation by downloading a given app and projecting it onto a big screen to familiarize ourselves with the app content (for 10-20 min). One reviewer was responsible for navigating through the app. Some discussion ensued if reviewers had uncertainties or questions about a given app that warranted additional explanation. Each researcher then independently scored the content in Google Forms guided by the criteria in. The response options for each of these criteria were as follows: met, somewhat met, or did not meet. Reviewers were also provided with a space to justify their given response. The content evaluation took 20-45 min. All results (including comments) were concatenated using Google Forms, and these results are reported based on majority consensus.
Usability Heuristics Evaluation
An expert in human-computer interaction prepared the usability heuristics evaluation questionnaire based on Nielsen’s 10 usability heuristics (see) [ - ]. The questionnaire was administered via Google Forms. The review team, similar to the process described above for the content evaluation, evaluated usability heuristics of each app as a group and individually assigned a numerical value to rate the severity of each heuristic violation (see for the heuristics on which each app was evaluated, accompanied by questions and response options. In addition, similar to our content evaluation, results were determined based on majority consensus).
Readability was evaluated using the approach employed by Smith and colleagues . Readability was measured using Readibility.io (computer software by Added Bytes, Sussex, England). This software provides grade-level scores according to 5 standardized reading scales (Flesch-Kincaid Grade Level, Gunning Fog Score, Coleman-Liau Index, SMOG Index, and Automated Readability Index) [ ] along with an average of the 5 scores. We retrieved the average score using 125 to 150 words of text from each app.
To our knowledge, there are no validated measures for evaluating the cultural sensitivity of commercially available apps. Therefore, we adapted the Cultural Sensitivity Checklist (CSC) developed by Friedman and Hoffman-Goetz  to evaluate our material for cultural sensitivity for African Americans. We are interested in the apps’ sensitivity among African Americans specifically because they have higher rates of lung cancer [ ] and earlier onsets of COPD [ ]. The CSC checklist was designed to evaluate printed material, but has also been used for online material [ ]. The original checklist contains 8 items, of which only 5 were pertinent to our study. (Two items overlapped with our content and readability evaluations and 1 focused on cancer prevention instead of symptom management.) We scored each app on the basis of whether it met, somewhat met, or did not meet the CSC criteria. To establish intercoder reliability, 2 reviewers conducted separate evaluations for each app. Percent agreement was calculated by dividing the total number of agreements by the total possible items. The 2 reviewers reached 100% agreement.
|Visibility||The system should always keep users informed about what is going on, through appropriate feedback within a reasonable amount of time|
|Match between system and real world||The system should speak the users’ language, with words, phrases, and concepts familiar to the user, rather than system-oriented terms. Follow real-world conventions, making information appear in a natural and logical order|
|Consistency||Users should not have to wonder whether different words, situations, or actions mean the same thing. Follow platform conventions|
|User control and freedom||Users often choose system functions by mistake and will need a clearly marked emergency exit to leave an unwanted screen without having to go through an extended dialogue. Support undo and redo actions|
|Error prevention||Even better than good error messages is a careful design that prevents a problem from occurring in the first place. Either eliminate error-prone conditions or check for them and present users with a confirmation option before they commit to an action|
|Recognition rather than recall||Minimize the users’ memory load by making objects, actions, and options visible. The user should not have to remember information from one part of the dialogue to another. Instructions for use of the system should be visible or easily retrievable whenever appropriate|
|Flexibility and efficiency of use||Accelerators—unseen by the novice user—may often speed up the interaction for the expert user such that the system can cater to both inexperienced and experienced users. Allow users to tailor frequent actions|
|Aesthetic and minimalist design||Dialogues should not contain information that is irrelevant or rarely needed. Every extra unit of information in a dialogue competes with and diminishes the visibility of relevant information|
|Error recovery||Error messages should be expressed in plain language (no codes), precisely indicate the problem, and constructively suggest a solution|
|Help and documentation||Ideally, the system can be used without documentation, but in the case of questions or confusion, it’s important to provide help and documentation. Any such information should be easy to search, focused on the user’s needs, list concrete steps to be carried out, and not be too lengthy|
aHeuristics are not mutually exclusive.
bAll questionnaire items ranked on the following scale: 1=cosmetic problem only, 2=minor usability problem, 3=major usability problem, and 4=catastrophic usability problem.
Of the 9 evaluated apps, 7 contained no indication that they were supported by science. Of the 2 remaining apps, 1 somewhat met 1 criterion because it included external links to national organizations, though it did not specify whether its content was based on the linked guidelines. The final app almost met the criteria for this domain. It was developed by a company known for conducting research, though it contained no scientific references.
Of the 9 apps, 5 fully met this domain’s criteria. Of the remaining 4 apps, 2 only partially met domain 2 criteria—specifically, the criterion for continued engagement (allows users to record and utilize their breathing measurements). However, this app failed to provide instruction on how to use its skill-building content. The 2 remaining apps did not meet any of this domain’s criteria.
Of the 9 apps, 3 contained at least one evidence-based stress management strategy and at least one structure. Of the remaining 6 apps, 3 did not have at least one strategy and structure. Of the other 3 apps, 1 did not contain any evidence-based strategies, but somewhat included 2 potential, evidence-based structures through a breathing measure. Given that no empirical evidence was provided, we were unable to establish that these structures were evidence-based. The 2 remaining apps partially contained 2 strategies. One of the apps recommended seeking social support but did not provide tools or resources to do so; the other app contained breathing exercises, but we were unable to establish if these were consistent with diaphragmatic breathing. Of the 2 remaining apps, 1 did not contain any evidence-based structures and 1 app somewhat seemed to contain all 3 structures. Again, however, we were unable to establish that these structures were evidence-based. Among the apps that had at least one evidence-based stress management strategy, the most common strategies were meditation and mindfulness, diaphragmatic breathing, and seeking social support. The most common evidence-based structures were self-monitoring and assessment.
Of the 9 apps, 2 did not meet any of this domain’s 8 criteria, and none met all criteria. Some of the apps were predominantly educational and did not collect user data; thus, we did not expect these apps to meet the confidentiality and privacy criteria. Only 1 app met 5 criteria, but it, along with all the other apps, failed to meet the references and advertising policy criteria. However, the latter unlikely applied to this app given that it contained no advertisements. The most commonly met criteria were presentation of contact details and indication that app content intended to complement rather than replace professional medical care.
Usability Heuristics Evaluation
Usability varied across the apps (). Of the 10 usability heuristics, half were critically violated by a majority of apps—visibility, match between system and real world, error prevention, recognition, and help and documentation. We will focus our discussion on these 5 (see definitions in ).
Visibility was problematic in 8 of the 9 apps. In particular, some apps had a complex navigation structure, including a lack of headers and feedback, leading to feeling lost in the app. Moreover, 4 apps utilized a small font size, problematic for many cancer survivors over the age of 50 years.
A mismatch between the system and the real world was another usability issue, problematic in 7 apps. Examples included the use of technical jargon, a disorganized menu, and use of advanced yoga terms not obvious in meaning to novice users.
A third usability heuristic was error prevention. Of the 9 apps, 8 contained issues related to disorganized content or functions, or buttons too close together. Furthermore, some apps that required health information (eg, blood pressure), or self-report of medication practices, did not allow users to edit information they had entered or made it very difficult to enter information (due to font size or entry fields).
All 9 apps contained issues related to recognition rather than recall. Instructions were often hard to find (an issue related to 3 other usability heuristics—visibility, help, and documentation). Some apps had so much functionality that they were overwhelming to first-time users. This led to difficulty in navigation, how to use specific functionality (eg, videos, information trackers), and even how to figure out the app’s purpose. There were 2 apps that did offer a tutorial for first-time users, and this feature mitigated some of these recognition or recall issues.
Finally, 8 of the 9 apps contained help and documentation issues. Similar to recognition issues, many of these problems stemmed from a lack of, or difficult-to-find, instructions. Furthermore, developer contact information was often unavailable, making it difficult to request help or report an issue.
Grade-Level Readability Evaluation
shows the results from the grade-level readability evaluation. The grade-level readability results showed that 7 of the 8 apps contained content at the ninth-grade reading level or higher. Only 1 app had a reading level below eighth grade, whereas 1 did not have enough text to calculate a readability score.
Of the 9 apps evaluated, none met any of the CSC criteria. One of the apps was predominantly intended for tracking symptoms and thus contained minimal text, making it difficult to evaluate cultural sensitivity (same app for which we could not calculate a readability score).
|Mean (SD)c||2.01 (1.02)||2.12 (1.31)||1.76 (1.14)||1.82 (1.29)||2.02 (1.11)||2.37 (1.02)||1.59 (0.92)||1.42 (1.18)||1.47 (1.15)||2.24 (1.11)||—|
aApps: 1=COPD Disease (Droid Clinic, United States); 2=Lung+ Pioneering Healthcare (Roche, Indianapolis, Indiana, United States), 3=COPD (Health Tips, United States), 4=Pranayama Free (Sagaara, Ann Arbor, Michigan, United States), 5=Breathcount (Segfoltas, Kaunas, Lithuania), 6=Asthma Tracker and Log (Roving Reptiles Software, Castle Rock, Colorado, United States), 7=My Breathfree (Cipla Digital. Sussex, England), 8=7Pranayama—Yoga Breath Calm (Pixel Point Technology, Jaipur, India), and 9=Loving Meditations—Bring Calm To Cancer (Loving Meditations, New York, New York, United States).
bV: visibility; M: match between system and real world; CS: consistency; CT: user control and freedom; EP: error prevention; R: recognition rather than recall; F: flexibility and efficiency of use; A: aesthetic and minimalist design; ER: error recovery; H: help and documentation.
cHigher score indicated a greater frequency, impact, and persistence of usability issue. All questionnaire items were ranked on the following scale: 1=cosmetic problem only, 2=minor usability problem, 3=major usability problem, and 4=catastrophic usability problem. Mean and SD were calculated based on average score (1-4) across all heuristics and within each separate heuristic.
|App name||Grade-level reading score|
|Lung+ Pioneering Healthcare||9.4|
|Asthma Tracker & Log||9.1|
|7pranayama—Yoga Breath Calm||10.5|
|Loving Meditations—Bring Calm to Cancer||12.8|
|Breathcount||Unable to calculate|
Of the 9 apps evaluated, 3 focused on providing support for individuals with asthma (My Breathefree, Breathcount, Asthma Tracker and Log), 2 aimed to support individuals with COPD (COPD Disease, COPD), 2 provided general relaxation and breathing training (Pranayama Free, 7pranayama—Yoga Breath Calm), and 2 contained videos and exercises to support individuals with lung cancer (Loving Meditations—Bring Calm to Cancer, Lung+ Pioneering Healthcare).
Though all 9 apps were marketed as breathing management and stress reduction, only 3 met the criteria for having both an evidence-based stress management strategy and an evidence-based stress management structure (ie, assessment, self-monitoring, or psychoeducation features; see). For example, Loving Meditations —Bring Calm to Cancer included 5 evidence-based stress management strategies that we assessed—meditation or mindfulness, diaphragmatic breathing, cognitive restructuring, visualization and imagery, and active coping or behavioral activation.
None of the apps fully met the criteria for providing scientific evidence to support claims about information within, or the efficacy of, their app. The 2 apps that somewhat met criteria for having scientific evidence—Lung+ Pioneering Healthcare and COPD—both contained content linked to a corporation (eg, Roche), and neither referenced peer-reviewed literature or other scientific evidence. In addition, most apps either met or partially met the criteria for being interactive or engaging, and over half of these incorporated a skill-building component. For example, in addition to offering breathing exercises and general lung education, Lung+ Pioneering Healthcare featured a multistage, interactive saxophone player breathing game that challenged players to blow rhythmically into their mobile microphones to the tune of jazz music.
Transparency was variable across the apps with Lung+ Pioneering Healthcare meeting the most criteria (5 of 8). The average grade-level readability in our review was 10th grade, which is 2 grades above the acceptable level . Many of the apps had usability challenges identified as critical violations. Finally, none of the apps met any of the criteria for being culturally sensitive to African Americans, who are more likely to experience lung cancer mortality [ ] and may have earlier onsets of COPD [ ].
This review focused on evaluating apps for the most common, evidence-based stress management techniques (ie, meditation and mindfulness, diaphragmatic breathing, and seeking social support). Therefore, less-common evidence-based stress management strategies may be used but were excluded in our review.
Comparison With Prior Work
Compared with Coulon and colleagues’ findings , the apps reviewed were less likely to include at least one evidence-based stress management strategy. However, when apps employed these strategies (eg, meditation), they were similar to those found in the previous review. Our findings regarding apps’ scientific merits were comparable to those of Coulon and colleagues [ ], but their review yielded more apps with scientific references (33% vs our 0%).
Regarding transparency, our review produced results consistent with those of Coulon and colleagues , but criteria most and least often met differed. Specifically, apps in both reviews were likely to provide contact information, but other criteria (eg, advertising policy) were satisfied less often in our review. Our assessment of apps for inclusion of skill-building instructions and opportunities for continued engagement demonstrated that most apps met or partially met these criteria. Although Coulon and colleagues did not assess cultural sensitivity or readability, our findings regarding an absence of cultural sensitivity and low readability were consistent with other prior work [ , , ].
Finally, our review included a comprehensive heuristic evaluation to determine usability, which was more in-depth than the review by Coulon and colleagues . Therefore, we identified critical design flaws that may affect users’ ease of use.
On the basis of our evaluation, we make 5 key recommendations for improving the quality of commercially available apps aimed at adults with a COPD or lung cancer history.
- Institute more stringent regulation of apps for health. Apps that make therapeutic claims or present health-related information should be required to cite scientific evidence to substantiate their claims or information. These apps should also contain prominent disclaimers about the outcomes a user should expect, particularly when claims are made about benefiting users’ health. Currently, no federal regulatory standards govern the production of commercially available, health-related apps (eg, those that provide health education) [ ]. The Food and Drug Administration, Google, and Apple provide some guidance to app developers in their review guidelines for medical and health-related apps. For example, Section 1.4.1 of Apple’s App Store Review Guidelines states: “Medical apps that provide inaccurate data or information, or that could be used for diagnosing or treating patients may be reviewed with greater scrutiny. Apps must clearly disclose data and methodology to support accuracy claims relating to health measurements, and if the level of accuracy or methodology cannot be validated, we will reject your app.” [ ]. Language in Google’s Developer Policy Center simply states that it does not allow “apps that contain false or misleading information or claims, including in the description, title, icon, and screenshots” such as “apps that feature medical or health-related functionalities that are misleading or potentially harmful.” [ ]. Beyond this brief language, however, neither Apple nor Google provide any insight into their review process, such as who reviews the apps they sell (eg, MD-degree holders hired by Apple). Moreover, no information exists for how nonmedical health apps (such as those we evaluated) are reviewed. We recommend that these organizations embrace a rigorous and transparent regulatory process to evaluate the health content within an app. One set of digital health reviewer principles is published by the Health On the Net Foundation [ ]. For a more in-depth regulatory process, Google, Apple, or other independent distributors of health-related apps could partner with the clinical and scientific communities to review these apps (similar to an expert or peer-review process). Though the peer review would be voluntary, it could ensure the quality of health-related apps. Furthermore, these organizations should assure greater scrutiny of app descriptions to ensure that developers are accurately reporting the contents of an app, and they should also denote whether or not the app is evidence-based. This could give the user a quick way to determine the legitimacy and scientific merit of the app.
- Use evidence-based frameworks and participatory design processes for app design. Although both Apple and Google provide guidance for app development largely based on industry standards, the apps evaluated were highly variable in the extent to which they executed these guidelines. Usability standards should be updated for mobile devices because most current guidelines were built with desktop layouts in mind. More specifically, Yáñez Gómez and colleagues [ ] recalibrated Nielsen’s [ ] heuristics for mobile devices, which have different usability challenges than desktop computers (eg, screen-size limitations). One recommendation is to not only make apps follow platform conventions but also be consistent across mobile orientations (ie, whether the device is vertical or horizontal) [ ]. Conforming to specific guidelines such as these may increase uniformity across apps while preserving the developers’ ability to create unique app designs.In addition to normal user testing, which is part of a traditional app development cycle, Owens [ ] has recommended implementing a community-based participatory (CBPR) design process. There are 8 CBPR principles that encourage active partnership between developers and the target population [ ]. Such collaborations can enhance developers’ abilities to make optimal decisions, from inception to dissemination, by identifying users’ content and usability needs and by jointly creating viable solutions [ ]. For example, in Owens’s study [ ], CBPR was implemented in a computer-based cancer education program for African American men. Small-group reviews, storyboarding, and user testing ensured the program was culturally appropriate, easy to understand, and usable by the target population [ , ]. Though integrating CBPR principles into the app design lifecycle can be more time-consuming, the cultural and contextual relevance and usability of interventions is increased, thereby increasing the likelihood that the app will contribute to positive health outcomes [ , , ].
- Use culturally sensitive language and images in health-related apps. Although lung cancer mortality is more common among African Americans [ ] and this racial group may have earlier onsets of COPD [ ], no apps evaluated were rated as culturally sensitive toward this population. Evidence suggest that ethnic minorities have distinct cultural beliefs that affect their beliefs about chronic lung disease, including how they engage in care [ , ]. General cancer-related studies have also demonstrated a desire among ethnic minorities for culturally relevant health information [ , ]. However, many print and online education materials are not culturally sensitive [ , ]. To ensure that apps are culturally sensitive, developers should consider using an existing grading tool or checklist such as the Cultural Sensitivity Assessment Tool (CSAT) for African Americans or CSC [ , ]. These tools are attentive to details in content and imagery that may be overlooked in a general design lifecycle. Implementing a CBPR-focused app design process with a representative sample of the target population (as mentioned above) offers an effective means for ensuring all CSAT or CSC recommendations are implemented.
- Ensure that apps are written in plain language. One objective of the US Department of Health and Human Services’ Healthy People 2020 initiative is to improve health literacy [ ]. Health literacy is defined as the “degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions.” [ , ]. Individuals without an adequate understanding of health information are less likely to adopt healthy behaviors, leading to poorer health outcomes [ ]. There are multiple strategies recommended for enhancing health literacy [ ]. One strategy is to ensure that health information is written in plain language—ie, in a manner that is easy to understand for the intended audience [ ]. The Plain Writing Act of 2010 (H.R. 946/Public Law 111-274) mandates that all federal agencies adhere to strict plain-language standards for government-provided information regarding benefits or compliance with requirements set forth by the government, including health information [ ]. One primary measure of plain language is grade-level readability [ ]. Although there is some debate regarding the optimal reading level for health information, the standard has generally been sixth to eighth grade [ ]. Readability levels can be determined using one of many readability scales, as we used in our review [ ]. Many scales have been digitized which enables users to quickly generate readability scores. We recognize that this measurement does not always translate to the easy comprehension of text [ ], but it represents an important step toward greater accessibility of health-related information.
- Follow evidence. Our target user group consisted of lung-cancer survivors, typically aged 50 years and older. Apps designed for this population need to use larger font (for better visibility), employ nontechnical language (to improve the user or real world match), have features that mitigate the ability to introduce errors when entering information (including allowing for easy editing), accommodate users’ working memory limitations (relying on recognition rather than recall), and provide ample help if or when users encounter problems (help and documentation). These recommendations mirror evidence-based design recommendations for older users [ ]. Following usability guidelines will not only ensure ease of use but also increase acceptance and adoption of mobile app technology.
Few mobile apps exist for promoting mindfulness-based strategies among adults with a chronic lung disease. Among those available, few meet the criteria for the 4 content evaluation domains (evidence of science, scientific strategy and engagement, evidence-based stress management strategies and structures, and transparency). Although the usability of apps reviewed varied greatly, most had design flaws that may compromise their helpfulness to populations with low technology usage or self-efficacy or limited experience with apps. In addition, the app content was not culturally sensitive or written for audiences with lower reading levels. To enhance the accessibility of evidence-based, commercially available apps for promoting mindfulness-based strategies among adults with a chronic lung disease, we outlined 5 key recommendations. Future research should assess the feasibility and efficacy of implementing these recommended processes within an app development lifecycle. Additionally, future app reviews should also include an assessment of apps for potentially harmful strategies.
The authors would like to acknowledge the funders at the Bristol Myers Squibb Foundation’s Bridging Cancer Care program.
Conflicts of Interest
- Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. CA Cancer J Clin 2017 Jan;67(1):7-30 [FREE Full text] [CrossRef] [Medline]
- National Center for Health Statistics. CDC. Hyattsville, MD: National Center for Health Statistics; 2016. Health, United States, 2016: With Chartbook on Long-term Trends in Health URL: https://www.cdc.gov/nchs/data/hus/hus16.pdf [WebCite Cache]
- Wheaton AG, Cunningham TJ, Ford ES, Croft JB, Centers for Disease Control and Prevention (CDC). Employment and activity limitations among adults with chronic obstructive pulmonary disease--United States, 2013. MMWR Morb Mortal Wkly Rep 2015 Mar 27;64(11):289-295 [FREE Full text] [Medline]
- Durham AL, Adcock IM. The relationship between COPD and lung cancer. Lung Cancer 2015 Nov;90(2):121-127 [FREE Full text] [CrossRef] [Medline]
- Seijo LM, Zulueta JJ. Understanding the links between lung cancer, COPD, and emphysema: a key to more effective treatment and screening. Oncology (Williston Park) 2017 Feb 15;31(2):93-102 [FREE Full text] [Medline]
- Houghton AM. Mechanistic links between COPD and lung cancer. Nat Rev Cancer 2013 Apr;13(4):233-245. [CrossRef] [Medline]
- Young RP, Hopkins RJ. Link between COPD and lung cancer. Respir Med 2010 May;104(5):758-759 [FREE Full text] [CrossRef] [Medline]
- Celli BR. Chronic obstructive pulmonary disease and lung cancer: common pathogenesis, shared clinical challenges. Proc Am Thorac Soc 2012 May;9(2):74-79. [CrossRef] [Medline]
- Newsome BR, McDonnell K, Hucks J, Dawson Estrada R. Chronic obstructive pulmonary disease: clinical implications for patients with lung cancer. Clin J Oncol Nurs 2018 Apr 01;22(2):184-192. [CrossRef] [Medline]
- Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Kosary CL, et al. National Cancer Institute. 2017. SEER cancer statistics review, 1975-2014 URL: https://seer.cancer.gov/csr/1975_2014/results_merged/sect_15_lung_bronchus.pdf [WebCite Cache]
- Titlestad IL, Lassen AT, Vestbo J. Long-term survival for COPD patients receiving noninvasive ventilation for acute respiratory failure. Int J Chron Obstruct Pulmon Dis 2013;8:215-219 [FREE Full text] [CrossRef] [Medline]
- The American Cancer Society Medical and Editorial Content Team. Cancer. 2017 Dec 18. Non-small cell lung cancer survival rates, by stage URL: http://www.cancer.org/cancer/non-small-cell-lung-cancer/detection-diagnosis-staging/survival-rates.html [WebCite Cache]
- Poghosyan H, Sheldon LK, Leveille SG, Cooley ME. Health-related quality of life after surgical treatment in patients with non-small cell lung cancer: a systematic review. Lung Cancer 2013 Jul;81(1):11-26. [CrossRef] [Medline]
- Deng GE, Rausch SM, Jones LW, Gulati A, Kumar NB, Greenlee H, et al. Complementary therapies and integrative medicine in lung cancer: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 2013 May;143(5 Suppl):e420S-e436S. [CrossRef] [Medline]
- Reel JJ, Campbell H, Kerr GJ, Sinclair MS. Complementary therapies for chronic obstructive pulmonary disease. J Community Med Health Educ 2016;06(01):e125. [CrossRef]
- Pew Research Center. 2018 Feb 05. Mobile fact sheet URL: http://www.pewinternet.org/fact-sheet/mobile [WebCite Cache]
- Fox S. Pew Internet. 2011 May 12. The social life of health information URL: http://www.pewinternet.org/2011/05/12/the-social-life-of-health-information-2011 [WebCite Cache]
- Krebs P, Duncan DT. Health app use among US mobile phone owners: a national survey. JMIR Mhealth Uhealth 2015;3(4):e101 [FREE Full text] [CrossRef] [Medline]
- Barton AJ. The regulation of mobile health applications. BMC Med 2012;10:46 [FREE Full text] [CrossRef] [Medline]
- Coulon SM, Monroe CM, West DS. A systematic, multi-domain review of mobile smartphone apps for evidence-based stress management. Am J Prev Med 2016 Jul;51(1):95-105. [CrossRef] [Medline]
- Nielson J. Neilson Norman Group. 10 usability heuristics for user interface design URL: https://www.nngroup.com/articles/ten-usability-heuristics/ [accessed 2018-01-11] [WebCite Cache]
- Yáñez Gómez R, Cascado Caballero D, Sevillano JL. Heuristic evaluation on mobile interfaces: a new checklist. ScientificWorldJournal 2014;2014:434326. [CrossRef] [Medline]
- Pierotti D. 2004. Heuristic Evaluation - A System Checklist URL: ftp://ftp.cs.uregina.ca/pub/class/305/lab2/example-he.html [WebCite Cache]
- Friedman DB, Hoffman-Goetz L. A systematic review of readability and comprehension instruments used for print and web-based cancer information. Health Educ Behav 2006 Jun;33(3):352-373. [CrossRef] [Medline]
- Friedman DB, Hoffman-Goetz L. Assessment of cultural sensitivity of cancer information in ethnic print media. J Health Commun 2006 Jun;11(4):425-447. [CrossRef] [Medline]
- DeSantis CE, Siegel RL, Sauer AG, Miller KD, Fedewa SA, Alcaraz KI, et al. Cancer statistics for African Americans, 2016: progress and opportunities in reducing racial disparities. CA Cancer J Clin 2016 Jul;66(4):290-308 [FREE Full text] [CrossRef] [Medline]
- Kamil F, Pinzon I, Foreman MG. Sex and race factors in early-onset COPD. Curr Opin Pulm Med 2013 Mar;19(2):140-144 [FREE Full text] [CrossRef] [Medline]
- Friedman DB, Kao EK. A comprehensive assessment of the difficulty level and cultural sensitivity of online cancer prevention resources for older minority men. Prev Chronic Dis 2008 Jan;5(1):A07 [FREE Full text] [Medline]
- Smith K, Iversen C, Kossowsky J, O'Dell S, Gambhir R, Coakley R. Apple apps for the management of pediatric pain and pain-related stress. Clin Pract Pediatr Psychol 2015;3(2):93-107. [CrossRef]
- Rhee RL, Von Feldt JM, Schumacher HR, Merkel PA. Readability and suitability assessment of patient education materials in rheumatic diseases. Arthritis Care Res (Hoboken) 2013 Oct;65(10):1702-1706 [FREE Full text] [CrossRef] [Medline]
- Finnie RK, Felder TM, Linder SK, Mullen PD. Beyond reading level: a systematic review of the suitability of cancer education print and Web-based materials. J Cancer Educ 2010 Dec;25(4):497-505 [FREE Full text] [CrossRef] [Medline]
- US Department of Health and Human Services, Food and Drug Administration, Center for Devices and Radiological Health, Center for Biologics Evaluation and Research. 2015. Mobile medical applications: guidance for industry and Food and Drug Administration staff URL: http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/UCM263366.pdf [WebCite Cache]
- Apple Inc. App Store review guidelines: objectionable content URL: https://developer.apple.com/app-store/review/guidelines/ [accessed 2018-01-11] [WebCite Cache]
- Google Play. Developer Policy Center URL: https://play.google.com/about/developer-content-policy-print/ [accessed 2018-01-11] [WebCite Cache]
- Health on the Net Foundation. 2017. The HONcode: The commitment to reliable health and medical information on the internet URL: http://www.hon.ch/HONcode/Webmasters/Visitor/visitor.html [WebCite Cache]
- Owens, OL. Principles for Developing Digital Health Interventions for Prostate Cancer: A Community-Based Design Approach with African American Men. In: Human Aspects of IT for the Aged Population. Design for Everyday Life. Switzerland: Springer, Cham; 2015 Presented at: International Conference on Human Aspects of IT for the Aged Population; August 2-7, 2015; Los Angeles, California p. 134-145 URL: https://doi.org/10.1007/978-3-319-20913-5_13 [CrossRef]
- Israel BA, Schulz AJ, Parker EA, Becker AB. Review of community-based research: assessing partnership approaches to improve public health. Annu Rev Public Health 1998;19:173-202. [CrossRef] [Medline]
- Owens OL, Friedman DB, Brandt HM, Bernhardt JM, Hébert JR. An iterative process for developing and evaluating a computer-based cancer decision aid for African American men. Health Promot Pract 2015 Sep;16(5):642-655. [CrossRef] [Medline]
- Israel BA, Schulz AJ, Parker EA, Becker AB, Community-Campus Partnerships for Health. Community-based participatory research: policy recommendations for promoting a partnership approach in health research. Educ Health (Abingdon) 2001;14(2):182-197. [CrossRef] [Medline]
- Israel BA, Schulz AJ, Parker EA, Becker AB, Allen AJ, Guzman JR. Critical issues in developing and following community-based participatory research principles. In: Minkler M, Wallerstein N, editors. Community-Based Participatory Research for Health: From Process to Outcomes. San Francisco, CA: Jossey-Bass; 2008:47-62.
- Lin JJ, Mhango G, Wall MM, Lurslurchachai L, Bond KT, Nelson JE, et al. Cultural factors associated with racial disparities in lung cancer care. Ann Am Thorac Soc 2014 May;11(4):489-495 [FREE Full text] [CrossRef] [Medline]
- Jonnalagadda S, Lin JJ, Nelson JE, Powell CA, Salazar-Schicchi J, Berman AR, et al. Racial and ethnic differences in beliefs about lung cancer care. Chest 2012 Nov;142(5):1251-1258 [FREE Full text] [CrossRef] [Medline]
- Baty BJ, Kinney AY, Ellis SM. Developing culturally sensitive cancer genetics communication aids for African Americans. Am J Med Genet A 2003 Apr 15;118A(2):146-155. [CrossRef] [Medline]
- Kulukulualani M, Braun KL, Tsark JU. Using a participatory four-step protocol to develop culturally targeted cancer education brochures. Health Promot Pract 2008 Oct;9(4):344-355 [FREE Full text] [CrossRef] [Medline]
- Guidry JJ, Walker VD. Assessing cultural sensitivity in printed cancer materials. Cancer Pract 1999;7(6):291-296. [Medline]
- Office of Disease Prevention and Health Promotion. 2018. Healthy people 2020: About healthy people URL: http://www.healthypeople.gov/2020/About-Healthy-People [WebCite Cache]
- Office of Disease Prevention and Health Promotion. Health. 2010. National action plan to improve health literacy URL: http://health.gov/communication/initiatives/health-literacy-action-plan.asp [WebCite Cache]
- Dewalt DA, Berkman ND, Sheridan S, Lohr KN, Pignone MP. Literacy and health outcomes: a systematic review of the literature. J Gen Intern Med 2004 Dec;19(12):1228-1239 [FREE Full text] [CrossRef] [Medline]
- Stableford S, Mettger W. Plain language: a strategic response to the health literacy challenge. J Public Health Policy 2007;28(1):71-93. [CrossRef] [Medline]
- GPO. 2010. Public Law 111–274 URL: https://www.gpo.gov/fdsys/pkg/PLAW-111publ274/pdf/PLAW-111publ274.pdf [accessed 2018-01-11] [WebCite Cache]
- Department of Health and Human Services. 2017. Plain Writing Act compliance report URL: https://www.hhs.gov/sites/default/files/hhs-2017-plain-writing-act-compliance-rpt%20.pdf [accessed 2018-01-11] [WebCite Cache]
- McGee J. 2010. Using readability formulas: a cautionary note URL: http://www.cms.gov/outreach-and-education/outreach/writtenmaterialstoolkit/downloads/toolkitpart07.pdf [accessed 2018-01-12] [WebCite Cache]
- Fisk AD, Rogers WA, Charness N, Czaja SJ, Sharit J. Designing for Older Adults: Principles and Creative Human Factors Approaches, Second Edition (Human Factors and Aging Series). Boca Raton, FL: CRC Press, Taylor & Francis Group; 2009:978-971.
|A: aesthetic and minimalist design|
|COPD: chronic obstructive pulmonary disease|
|CSAT: Cultural Sensitivity Assessment Tool|
|CSC: Cultural Sensitivity Checklist|
|CT: user control and freedom|
|EP: error prevention|
|ER: error recovery|
|F: flexibility and efficiency of use|
|H: help and documentation|
|M: match between system and real world|
|MBSR: mindfulness-based stress reduction|
|R: recognition rather than recall|
Edited by G Eysenbach; submitted 12.01.18; peer-reviewed by C Monroe, M Duplaga; comments to author 28.02.18; revised version received 02.04.18; accepted 03.04.18; published 15.05.18
©Otis L Owens, Jenay M Beer, Ligia I Reyes, David G Gallerani, Amanda R Myhren-Bennett, Karen K McDonnell. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 15.05.2018.
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