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It is tempting to imagine the use of the patient's own mobile computing platform for collection of patient-reported outcomes (PROs).
It is tempting to imagine the use of the patient's own mobile computing platform for collection of patient-reported outcomes (PROs). This would solve some of the problems faced when using the electronic PRO (ePRO) devices employed today:
This article evaluates the practicality of such an approach, and the issues that need to be addressed if it is to succeed.
The goal of a PRO system is to collect data directly from subjects; data used to measure the benefit of treatment or the risk in medical clinical trials.1 Initially, this was done using a pen and paper, and patient responses were collected in the form of surveys conducted once (or a few times) during a trial and/or in the form of a patient diary, containing responses collected regularly throughout the trial.
The move toward ePRO solutions, which started in the 1990s, was fueled by a number of considerations, primarily:
Interestingly enough, cost has not been one of the primary movers. Although most companies adopting ePRO have had hopes that improved compliance, data quality, and reduced trial times in themselves would lead to cost savings, these are cost savings that are difficult to quantify. Indeed, often the move to ePRO involved higher up-front costs, with eventual savings being realized later in the trial process.
ePRO solutions diverged early along two paths. The simplest and most cost-effective tools have been the interactive voice response systems (IVRS), but these have had restrictions in their functionality, the user interface, and the type of data that can be collected.
In order to support the collection of more complicated data, a number of vendors developed solutions that could support entry of textual and graphical data.2 These solutions were based on proprietary software running on commercially available electronic platforms, or "device-based applications." Initially, these solutions were based on commercially available personal digital assistants (PDA) platforms. The earliest were based on the Apple Newton PDA, followed in the late 1990s by systems using the Palm Pilot. These all used offline synchronization techniques, making it necessary to store data temporarily on the device itself, initially until the next time the patient visited the clinic. Later on, solutions were developed that allowed subjects to synchronize remotely (e.g., from home). GSM-enabled PDA devices were introduced in the early 2000s, allowing continuous synchronization (as long as the subject was within reach of a GSM network).
The one thing in common for device-based applications is that they used proprietary software installed on a commercial platform. This necessitated supplying subjects with the devices to be used for the study in question, training them in the use of the devices, and collecting the devices from the subjects as they complete or withdraw from the trial.
Because device-based applications store the application itself and in many cases act as a temporary store for the data then there are special requirements that need to be addressed by these solutions.1,3 The software must prevent end users from:
The device-based applications often use hardware specific capabilities in order to fulfill the above requirements, which results in new aspects that need to be considered:
A PRO instrument is the collection of questions and scales used to elicit information from the subject. It is not dependent on technology as such-a PRO instrument can be implemented on paper, using an ePRO solution or both. However, there is a regulatory requirement that the PRO instrument be shown to measure the correct information to support later uses of the PRO data, for example, in labeling claims. Typically this is shown by validating the PRO instrument.1,3,4
One concern has been that a PRO instrument that has been validated in one implementation (usually on paper) may not produce the same results if it is transferred to a new medium (such as ePRO). The concern has been that differences in layout, the presentation of the question, the number of questions presented at the same time, and the size of scales and other similar aspects could influence patient responses. One large study (looking at 46 trials and 278 scales) was carried out to investigate these concerns.5 The conclusions reached were that the responses collected from the subjects were comparable even when using different media (paper, ePRO). Other similar studies6,7 have shown that minor changes caused by changing from one media or device to another did not adversely affect the results, but larger variations in the presentation, such as rewording or reordering the instrument, could result in the results not being comparable.
We now have a potential pool of subjects for clinical trials to whom the use of web-based software and mobile computing platforms is commonplace. Web-based applications are now to be found in most users' Internet histories-buying goods and services online, social media, and personal banking are web-based services now used by most of us.
Connectivity and computing power are areas that have seen a dramatic development and evolution in the last five to 10 years. Smartphones and tablet computers that are more powerful than the desktop computers we used just a few years ago are gaining market shares. According to reports from Gartner8 and Statista,9 worldwide smartphone sales in 2012 amounted to a little more than 722 million units, of a total 1.746 billion mobile phones sold. In 2013, smartphones were projected to account for 958 million of a total of 1.8 billion mobile phones sold. In addition, by 2015, tablet computer sales are estimated to reach 325 million, while PC sales continue to decline (see Figure 1).
Figure 1. Comparing worldwide mobile platform market shares in 2012 versus estimates for 2015.
As these trends show, more subjects recruited for clinical trials will have advanced mobile computing platforms, platforms that are more advanced than today's ePRO devices. The standardized delivery of software installed on the client platform (computer, smartphone, or tablet) has also been revolutionized by the use of "apps," which are now even used to install software on other consumer products such as Smart TVs. This enables the easy delivery (over the Internet) and installation of proprietary software on the consumer's own device.
What are the advantages and disadvantages of the two new technology solutions that offer us the possibility of using the patient's own device-web-based applications and apps?
A web-based application requires validation for every supported combination of operating system (i.e., iOS, Android, Windows) and browser (i.e., Safari, Chrome, Internet Explorer, etc.). There is little or no requirement for device-specific validation.
When using apps, there are still some differences between platforms and devices. The user does not have to look far to find examples of apps that run on some phones and tablets but not on others.10 Hence, the introduction of the "app" methodology has helped standardize the software environment, but the basic validation requirement is still the same-the instrument must be validated on every type of mobile phone, tablet, and computer used in the trial.
The greatest single disadvantage of a web-based application is that you must have Internet connectivity in order to use it. The latest HTML standard (HTML 5) has introduced limited offline capabilities, but you still need an Internet connection to submit and store the data once the questionnaire has been completed.
The use of a local app allows for local storage of data and synchronization with a central database at a later time when connectivity is re-established. This is a well-established method used by existing legacy solutions and accepted by the regulatory authorities. The only major risk (which is the same for existing legacy solutions) is the risk of losing data if the device is lost or if it should break down.
A web-based application has a zero footprint on the patient device and no need for local installation on the patient device.
A local app does require installation, and although modern systems (iOS, Android, and Windows) have simplified the downloading and installation of apps, it still must be done. And this also brings into play a range of requirements mentioned earlier regarding device-based applications:
A web-based application simplifies the use of ePRO instruments in all cases except when an offline capability is of vital importance to the trial. Although the use of an app simplifies the distribution and installation of software and can help ensure that the ePRO instrument looks the same on all supported devices, it does not address the other issues facing the legacy device-based applications, as an app is after all still basically a device-based application.
The use of app technology is an improvement on the existing legacy device-based applications, but it is not a radically new idea-it is simply a standardized environment for the distribution of, installation of, and the operating system for computer software. It is a step toward the future in software development in general that started with the use of Linux (which also delivers all three of those benefits, although the use of Linux is limited for mobile computing platforms).
The future of ePRO platforms can be even brighter when considering web-based applications.
We want to collect PROs in a fashion that ensures the data collected is correct, dependable, and repeatable, in terms of both:
There are a number of challenges to be faced if we want to use the possibilities presented to us by the spread of smartphones and tablet computers.
One of the most important issues is that of validation of the PRO instrument. Attempts to use the subject's own mobile phone for ePRO have often been rejected due to problems with validation of the PRO instrument. The arguments used include:
The cost of such a validation effort is prohibitive.
The studies mentioned earlier5,6,7 give a clue to how such a situation can be handled. Their findings indicated that minor changes in appearance of the PRO instrument still produced comparable results. This can be leveraged by ensuring that:
1. Devices with comparable capabilities are used. Smart phones and mini-tablets all have similar sized screens, similar graphic resolutions, and similar colors.
2. The PRO instrument needs to utilize a common graphical denominator that appears the same on all devices (e.g., all answer choices are shown without scrolling). When using larger tablet computers and PCs, then the same limited area should be used for display as on smart phones and mini-tablets.
3. The use of a single application across all devices ensures the same "look-and-feel" within the PRO instrument with regards to ordering and presentation.
4. The use of a web-based application would mean there was no software installation required on the subject device.
5. The use of a web-based application counteracts the need for computer system validation on each possible platform.
The study protocol and the design of the PRO instrument should take into account the need for comparability in responses across slightly different devices, and, thus, avoid cases that could potentially create difficulties. The use of advanced graphical scales, such as graphical body representations (e.g., point at the part of your body that is in pain) is generally considered to be more dependent on exact equivalence in the graphical representation than textual questions and answers. To ensure compliance across multiple devices, the body could be divided up into different areas (head, shoulder, etc.) that are highlighted if the subject clicks on any part of that area.
How many of the prospective subjects in our clinical trials have their own smartphones? Market analysts predicted11,12 that the major pharmaceutical markets will pass 50% market penetration for smartphones from 2012 to 2014. If a subject group contains subjects that do not own a device suitable for use in the trial, then a mixed model can be used. The advantage of a "subject's own device" model is that it implicitly allows for varying devices to be used in the same trial. One advantage is that even if a subject changes device in mid-trial (e.g., purchases a new smartphone), then data compliance is still maintained.
It is absolutely essential that any system used to collect data for clinical research is compliant with the regulations and guidelines covering this work. So when evaluating the use of new technology, it is especially important to highlight the areas that differ from existing solutions, and whether these areas require special consideration in order to ensure regulatory compliance.
The use of a web-based software application instead of a device-based application does not alter the fact that the software used needs to be documented and validated in exactly the same way as all software in the industry is handled. It is also the responsibility of the investigator and trial sponsor to formally document a risk assessment (Quality Risk Management Plan) for the continuity of data entry when a subject loses his or her device or decides to get a new one. This already applies even when using legacy device-based applications, hence, there are no extra burdens when moving to a solution based on the patient's own mobile computing platform.
When using a legacy device-based application, it is vital that the user cannot influence either the application or the data stored locally. An important functionality (and validation step) to be considered when developing device-based applications is how to disable user access to the software and data, and validating that there is no way the user can get at the software or data.
The following problems when using device-based applications are automatically solved by the use of a web-based application:
The solution of these issues for device-based applications involves additional software, and, therefore, additional validation effort and additional risk.
Using the patient's own mobile computing platform provides substantial savings from a regulatory compliance point of view. There is no software installed on the remote device, nor is any data stored. Therefore, the fact that the patient's own device is being used becomes almost unimportant-as long as it supports the web-based application, no further validation is required. Platform support can be programmed into the web-based application itself in the form of requiring certain versions of given browsers; if they are available on the patient's device, then there is no problem. The use of the patient's own device then becomes directly analogous to the use of a telephone in an IVRS system-there are no requirements to validate IVRS systems against all possible telephones in all countries in the world; it is enough that standard telephone functionality is available to the subject.
What are the advantages that a subject's own device solution offers? The major advantages were named in the opening paragraph, namely provisioning, supply, training, and maintenance. When would the legacy IVRS and device-based applications be more suitable? IVRS solutions do not require a mobile computing platform; they operate on any telephone. In this respect, they are still applicable for all potential subjects that have access to a telephone, but not to a smartphone, tablet computer, or PC. This is currently a large, but diminishing, proportion of the overall pool of subjects. Device-based applications can still be the solution of choice for trials with specific requirements for a uniform hardware solution. One example is a requirement to connect to external equipment at the subject's residence, such as PEF meters and blood pressure cuffs.
It would appear that there are few, if any, insurmountable problems with the use of the subject's own device. If the study protocol and the PRO instrument have been designed with this in mind, then the ePRO comparative studies already conducted1,6,7 indicate that the subject's own device can be used.
Traditionally, large corporations in the clinical research sector exhibit a certain resistance to adopting new technologies, but are there any regulatory or other substantial concerns that would contraindicate adopting the patient's own mobile computing platform for ePRO? As can be seen from the previous summary, the answer is no.
So why isn't this already being done? Actually, it is-all around the world, trials are presently being run that collect ePRO data in this fashion, including studies critical to regulatory submissions. The FDA1 and the European Medicines Agency (EMA)4 have issued guidelines and reflection papers, which outline their current thinking when it comes to compliant use of ePRO.
Examples of studies using a web-based application on the patient's own mobile computing platform include:
If the design of the study protocol and the PRO instrument aims at being comparable across different devices, and the study population is chosen such that the subject's own device can be used for data collection, then clinicians can run one of the new breed of ePRO trials already out there.
Alan Yeomans is Quality Manager, Pharma Consulting Group, email: Alan.Yeomans@pharmaconsultinggroup.com.
1. U.S. Department of Health and Human Services. "Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims." December 2009.
2. Vendors of e-PRO device-based solutions: PHT Corporation- http://www.phtcorp.com, eResearch Technology (incorporating Invivo Data and Clinitrac)-http://www.ert.com/CRF Health-http://crfhealth.com
3. European Commission Health and Consumers Directorate-General. Annex 11: Computerised Systems from EudraLex, "The Rules Governing Medicinal Products in the European Union," Volume 4 Good Manufacturing Practice, Medicinal Products for Human and Veterinary Use
4. EMA Committee for Medicinal Products for Human Use. Reflection paper on the regulatory guidance for the use of health-related quality of life (HRQL) measures in the evaluation of medicinal products; EMEA/CHMP/EWP/139391/2004
5. Gwaltney CJ, Shields AL, Shiffman S. "Equivalence of Electronic and Paper-and-Pencil Administration of Patient-Reported Outcome Measures: A Meta-analytic Review." Value Health 2008;11:322-33.
6. Coons SJ, Gwaltney CJ, Hays RD, et al. "ISPOR ePRO Task Force Recommendations on Evidence Needed to Support Measurement Equivalence Between Electronic and Paper-based Patient-reported Outcome (PRO) Measures: ISPOR ePRO Good Research Practices Task Force Report." Value Health 2009; 12:419-29.
7. Juniper EF, Langlands JM, Juniper BA. "Patients May Respond Differently to Paper and Electronic Versions of the Same Questionnaires. Respir Med 2009;103:932-4.
8. Gartner: Gartner Says Worldwide Traditional PC, Tablet, Ultramobile and Mobile Phone Shipments On Pace to Grow 7.6 Percent in 2014, http://www.gartner.com/newsroom/id/2645115
9. Statista: Global smartphone shipments from 2010 to 2017 (in million units), http://www.statista.com/statistics/263441/global-smartphone-shipments-forecast/
10. "Fitbit" is an example of a common App available for both iOS and Android that does not support all devices on either platform, see: http://www.fitbit.com/uk/devices
11. Nielsen: Mobile Majority U.S. Smartphone Ownership Tops 60%, http://www.nielsen.com/us/en/newswire/2013/mobile-majority--u-s--smartphone-ownership-tops-60-.html
12. eMarketer: Smartphone Adoption Tips Past 50% in Major Markets Worldwide, http://www.emarketer.com/Article/Smartphone-Adoption-Tips-Past-50-Major-Markets-Worldwide/1009923#BDPmZj33rlE8fTVX.99