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Optometry & Vision Science:
doi: 10.1097/OPX.0b013e3181ff9b80
Original Article

Patient Use of Smartphones to Communicate Subjective Data in Clinical Trials

Woods, Craig A.*; Dumbleton, Kathryn†; Jones, Lyndon‡; Fonn, Desmond§

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Author Information

*PhD, MCOptom, FAAO

MSc, MCOptom, FAAO

PhD, FCOptom, FAAO

§BOptom, MOptom, FAAO

Centre for Contact Lens Research, School of Optometry, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.

Funding for developing this system was made available by the CCLR.

None of the authors have any financial interest or gain associated with Research in Motion, Ltd.

Received October 2, 2009; revision received September 7, 2010.

Craig Woods; Centre for Contact Lens Research School of Optometry, University of Waterloo 200 University Avenue West Waterloo, Ontario, Canada N2L 3G1 e-mail: cawoods@uwaterloo.ca

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Abstract

Purpose. Various methods have been used in clinical trials to collect time-sensitive subjective responses, including study diaries, telephone interviews, and use of text messaging. However, all of these methods are limited by the uncertainty of when the participants enrolled in the study actually record their responses. This technical note reports on the utility of the BlackBerry smartphone to collect such data and why such a system provides advantages over other methods to report subjective ratings in clinical studies.

Methods. The Centre for Contact Lens Research developed an on-line web-enabled system that permits participants to record and immediately transmit subjective rating scores in numerical form directly into a web-enabled database. This, combined with the utility of BlackBerrys, enabled time-specific e-mail requests to be sent to the study participants and then for that data to be simultaneously transmitted to the web-enabled database. This system has been used in several clinical trials conducted at the Centre for Contact Lens Research, in which data were collected at various times and in several specific locations or environments.

Results. In the clinical trials conducted using this system, participants provided responses on 97.5% of occasions to the requests for data generated by the automated system. When the request was for data on a set date, this method resulted in responses of 84.1% of the time.

Conclusions. The series of clinical trials reported here show the benefits of the utilization of the BlackBerry to collect time- or environment-sensitive data via a web-enabled system.

When conducting clinical trials relating to the performance of contact lenses or lens care systems, it is important to monitor their impact on the clinical trial participants. In most cases, the data collected include clinical trial participant observations of their own ocular condition or visual performance and subjective ratings of factors such as comfort, vision, and satisfaction with the system under test. These observations and measures are usually collected at specified intervals, both over the course of a day and on numerous days during the clinical trial. This allows comparisons to be made between these measurement time points, to determine the impact of the test lens or care system and is typically compared with a control. These daily assessments are important as dryness and discomfort increases diurnally for both non-lens wearers and contact lens wearers and continues to be a significant issue for many patients.1–3 Despite many years of work for developing new contact lens materials and designs, lens discomfort—particularly at the end of the day—remains the primary reason for discontinuation of contact lens wear.4, 5 Obtaining an understanding of the rate of change in ocular surface comfort and how that differs for patients may lead to a better understanding of how to resolve these problems.6

Subjective assessment ratings can be scored using Visual Analog Scales,7–9 numerical scales,10 or Likert scales.11All are tools designed to collect clinical trial participant-related subjective data in a quantifiable way; to allow for inter- or intraparticipant comparison; and to establish whether a difference between products is apparent.12 These methods are usually incorporated into a study diary or as paper forms, which the participant subsequently presents to the researcher at the next scheduled visit or they may report their ratings by telephone at the end of the day on which the assessments are being undertaken.13 All of these methods suffer from potential inaccuracy because there is no ability to monitor that the participant is recording their ratings at the specified time points, even with incorporating electronic devices such as personal data assistants.14 Stone et al.15 reported that compliance with recording data in a study paper diary are poor, with 90% “hoarding” their responses to one time point, such that the data may be questionable. They were able to conclude this as they used paper-based diaries that were electronically time dated when an entry was actually made.

Although use of the telephone to report information on specific study days ensures the data relate to the correct day, ensuring the data are actually taken at the correct times during that day remains problematic, as the participant has to be trusted to follow the clinical trial instructions relating to the collection times. Having a research coordinator phoning the clinical trial participants at specific times over the collection day would address this issue, but it is costly and possibly intrusive to the participant.

The importance of collecting time-sensitive data have been widely acknowledged, and the incorporation of electronic technology has been used in clinical trials across a broad spectrum of research fields.16–21 Methods adopted have included sending short message service (SMS) to participants' cell phones22, 23 or providing participants with a personal digital assistant (PDA), such as a Palm Handheld or the Apple Newton, with software installed that allows the completion of the scales.15–20

Although both of these methods are potential improvements over diaries or paper-based scales, neither can control for when the participant decides to complete the data collection nor can they provide a timely reminder if the data are not completed. Morgan et al.23 used SMS messaging to collect data and reported up to 93% of study participants responded within a reasonable time period (30 min) of the scheduled time point. Unfortunately, the use of SMS is limited because it is not possible to confirm delivery or the time of delivery of messages. Plowright et al.22 reported response rates, using text messaging, of between 76 and 82%, but the times of responses were not reported.

In an attempt to overcome the above-mentioned limitations, an electronic device was needed that could receive time-stamped e-mail, allow an immediate response to that e-mail, either by reply or by redirection to an internet-enabled database, and be able to monitor the time of the response. The BlackBerry (Research in Motion, Waterloo, ON, Canada) was identified as a possible option.

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Utility Development

A web-based [Get On Line Data (GOLD)] database system custom developed at the Centre for Contact Lens Research (CCLR), University of Waterloo, was adapted for use with the BlackBerry PDA for notification to clinical trial participants to complete their subjective assessments.24 The participant was prompted by an e-mail the day before the scheduled assessments and then at the times specified on the day of assessment. This e-mail contained a hyperlink to a webpage where the ratings were entered. If data were not entered within a 1-hour time window, a second e-mail was automatically sent as a reminder to the participant's BlackBerry to encourage a timely response. Examples of the BlackBerry interface are shown in Fig. 1.

Figure 1
Figure 1
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After data entry, a second time window of 20 min was set to allow reentry or editing of the recorded values by the participant in case a mistake was inadvertently made. Incorporating the BlackBerry required the custom development of a series of software applications:

* Software A, a customized database where the study designs could be defined, including the allotment of identification codes, the variables to be collected, and the order of collection (Fig. 2).

Figure 2
Figure 2
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* Software B, a customized scheduling database for the study coordinator to enter the individual participants' actual schedule for study measure visits (Fig. 3).

Figure 3
Figure 3
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* Software C, a customized e-mail generating software application that monitors both softwares A and B to generate the e-mails containing the hyperlinks that are sent to each participant's BlackBerry.

* Software D, a customized software application that monitors data entry and records activity (or lack of activity) and prompts software C to generate a reminder e-mail if data have not been entered or for the GOLD database to close, once the requested entry is completed.

* Software E, a customized webpage generator that creates the user interface for the data to be entered on to (Fig. 1).

Before the commencement of any study involving the BlackBerry, full ethics review was under taken, and a section relating to the responsibilities and use of the device was included in the informed consent letter. This technical note describes the results on the use of BlackBerry technology with the GOLD system from four clinical trials conducted at the CCLR.

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RESULTS

Design of the Clinical Trials

A total of 205 participants were recruited into four separate clinical trials and provided with BlackBerrys. Ten percent of these participants were existing BlackBerry users. Regardless of previous experience, all study participants received training to ensure that they could adequately enter the study data using the device. The four clinical trial designs differed slightly but all required data to be collected via a subjective rating scale at different time points during the day and over the course of the clinical trial (Table 1) . In clinical trials 1, 2, and 3, participants entered and transmitted their data at three specific time intervals on specific days during the clinical trial. In clinical trial 4, participants collected data while completing two tasks on prearranged evenings using a BlackBerry. One task was completed at a local café and the other was completed at the participant's home. These tasks involved completing a subjective questionnaire about visual satisfaction in a specific environment and completing a visual task (reading text of varying size and contrast) on the BlackBerry.

Table 1
Table 1
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Response to Requests to Complete Subjective Ratings

The maximum number of e-mails that could theoretically be sent (Table 1) was not achieved, as data from incomplete clinical trial participation are also included in this technical note, and a number of participants were discontinued from each clinical trial or phase prematurely. The actual number of e-mails sent to study BlackBerrys was 11,081. Of these, the participants' responded to 10,806, which represents a response rate of 97.5% overall (Table 1).

A measure of compliance to the request to enter their ratings was taken as the number of responses received within a “reasonable” time of the request, either on the same day or within 1 hour of the request. This was found to be within the range of 38.5 to 96.6% for the different studies reported (Table 2).

Table 2
Table 2
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DISCUSSION

The summary of the utilization of the BlackBerrys from the four clinical trials reported in this technical note would suggest that their use offers internet connectivity that aids in the collection of clinical trial participant rating data at various times during the day and in different real world locations. This appears to address some of the limitations previously reported with the use of study diaries14 or the uncertainty associated with the delivery of text messages.

Our data also suggest that although most participants provide ratings on the required day (78.7 to 100%), not all responded within a reasonable time frame (38.5 to 47.3%) still choosing to delay their response to the e-mail request sent. This decision, of participants to delay their response, is a problem suspected by other investigators using other methods of data collection13 and confirmed here.

For clinical trials 2 and 3, where data collection was time critical, the response rate was marginally higher (78.7 to 88.9%) than reported in clinical trials where SMS messaging via a cell phone was used (76 to 82%).23 Unfortunately, these data were not available for clinical trial 1, because it was conducted before a software upgrade providing this capability. Not all participants responded in a timely manner however, and this is likely as a result of the complexity and frequency of responses required in these clinical trials. Virtually, all participants did respond at some time point (96.9 to 99.8%), suggesting that although being committed to their clinical trial participation, other activities interfered with their ability to respond. In clinical trial 4, where the participants were asked to complete questions relating to an actual activity they were doing at the time, the response rate was high (100%), indicating that when the participant had time scheduled for completion of the task, compliance was absolute.

The next generation of contact lenses will have to be designed to resolve end-of-day discomfort and provide adequate presbyopic correction. Despite many improvements in materials and lens designs, discomfort and visual performance still limit successful lens wear and remain key reasons for lens discontinuation.4 Understanding when discomfort develops and under what circumstances may help researchers resolve this problem. Insight regarding how well a multifocal lens design enables optimal visual function in the real world is of tremendous value. Collecting time-sensitive data relating to comfort and vision in a controlled manner can only add to our knowledge of these issues. There are potentially several other symptoms that could be time or environment sensitive, where being able to collect information on that symptom at specific time points would be of particular value. The use of Smartphones in collecting such information will be of great benefit.

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CONCLUSIONS

This technical note highlights the potential impact of the use of a web-enabled data delivery system and the technology incorporated in BlackBerrys can have on collecting time-sensitive data. The series of clinical trials reported show the benefits of the utilization of the BlackBerry to collect data via a web-enabled system.

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ACKNOWLEDGMENTS

We thank the significant work in the development and management of this communication system by Mr. Trevor German and Ms. Grace Dong.

Craig Woods

Centre for Contact Lens Research

School of Optometry, University of Waterloo

200 University Avenue West

Waterloo, Ontario, Canada N2L 3G1

e-mail: cawoods@uwaterloo.ca

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Keywords:

subject rating scales; PDA; BlackBerry; contact lenses

© 2011 American Academy of Optometry

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