Published on 07.05.13 in Vol 1, No 1 (2013): JMIR MHealth - Inaugural Issue
Development of a Theoretically Driven mHealth Text Messaging Application for Sustaining Recent Weight Loss
Background: Mobile phone short message service (SMS) text messaging, has the potential to serve as an intervention medium to promote sustainability of weight loss that can be easily and affordably used by clinicians and consumers.
Objective: To develop theoretically driven weight loss sustaining text messages and pilot an mHealth SMS text messaging intervention to promote sustaining recent weight loss in order to understand optimal frequency and timing of message delivery, and for feasibility and usability testing. Results from the pilot study were used to design and construct a patient privacy compliant automated SMS application to deliver weight loss sustaining messages.
Methods: We first conducted a pilot study in which participants (N=16) received a daily SMS text message for one month following a structured weight loss program. Messages were developed from diet and exercise guidelines. Following the intervention, interviews were conducted and self-reported weight was collected via SMS text messaging.
Results: All participants (N=16) were capable of sending and receiving SMS text messages. During the phone interview at 1 month post-baseline and at 3 months post-baseline, 13/14 (93%) of participants who completed the study reported their weight via SMS. At 3 months post-baseline, 79% (11/14) participants sustained or continued to lose weight. Participants (13/14, 93%) were favorable toward the messages and the majority (10/14, 71%) felt they were useful in helping them sustain weight loss. All 14 participants who completed the interview thought SMS was a favorable communication medium and was useful to receive short relevant messages promptly and directly. All participants read the messages when they knew they arrived and most (11/14, 79%) read the messages at the time of delivery. All participants felt that at least one daily message is needed to sustain weight loss behaviors and that they should be delivered in the morning. Results were then used to develop the SMS text messaging application.
Conclusions: Study results demonstrated the feasibility of developing weight loss SMS text messages, and the development of an mHealth SMS text messaging application. SMS text messaging was perceived as an appropriate and accepted tool to deliver health promotion content.
JMIR Mhealth Uhealth 2013;1(1):e5
Nearly two-thirds of the American population is overweight (body mass index, BMI>25), of which one-third has obesity (BMI>30). Obesity is associated with multiple chronic illnesses  and represents a significant cost to the United States health care system [ , ]. Though people are often successful at initial weight loss, only 1 in 6 people successfully sustain weight loss over 12 months [ , ]. The rate of weight gain is highest immediately after cessation of a structured weight loss program [ ]. This relapse in weight regain is attributable to a failure to maintain regular physical activity [ - ], follow a low-calorie diet [ ], and monitor body weight [ , , ]. Thus, effective interventions are needed that can follow a structured weight loss program that are accessible, affordable, and use well-accepted treatment strategies that promote sustainability and maintenance of weight loss [ , ].
Mobile phone short message service (SMS) text messaging, has the potential to serve as an intervention medium to promote sustainability of weight loss that can be easily and affordably used by clinicians and consumers. Due to widespread use and low cost of SMS text messaging, this technology pervades all age groups [- ], many cultures [ ], and socioeconomic backgrounds [ , ]. This technology allows reach across geographic boundaries and reaches people directly where they are located. Thus, it is increasingly accepted and used as a mode for health behavior change interventions rather than mediums such as the Internet or traditional telephone [ ]. As of 2011, 83% of American’s own a cell phone and over 73% of those use SMS text messaging [ ]. Thus, no other medium exists that can reach people as quickly and personally as SMS text messaging.
Preliminary studies suggested that SMS text messaging is an affordable mobile health (mHealth) intervention tool, and has positive short-term behavioral and clinical outcomes when compared to usual care [, - ] and that once a day may be appropriate to help motivate people to engage in weight loss behaviors without creating substantial burden [ ]. However, a review of the literature [ ] indicated that SMS text messaging as an intervention medium for weight loss is in its infancy. Furthermore, a recent study by Shapiro et al [ ] showed that weight loss text messages had no effect on weight loss over 12 months but had positive effects on weight loss behaviors (eg, adequate exercise and a healthy diet) over 12 months. Though frequency and timing of messages for weight loss initiation is reported, optimal frequency and timing of following recent weight loss is still unknown.
Therefore, an intervention using text messaging was developed to help motivate people to continue their weight loss behaviors within the first month of completing a structured weight loss program. The goal was to design an intervention that would help people to stay motivated and prevent weight regain. However, 3 important aspects need to be researched effectively before we can use text messaging as a tool for sustaining weight loss. These aspects include content, frequency, and timing of the messages.
Research has demonstrated that interventions intended to change unhealthy behaviors are more likely to elicit positive changes and benefit individuals and communities if they are guided by theories of behavior change . However, many theory-guided interventions that generated positive rates of initial change failed to facilitate long-term maintenance [ , - ]. The dominant health behavior change models are successful at guiding interventions that create short-term behavior change but do little to improve sustained behavior change [ ]. These models rely on the premise that the strategies people use to initiate a behavior change are the same as those used with maintenance. This is at odds with research that has demonstrated successful rates of initiation do not translate into maintenance [ , ]. Even among intervention strategies that increase the intensity or frequency of a treatment, thus delaying relapse, long-term sustainability and maintenance was not substantially improved [ - ]. Therefore, it is assumed that there are psychological differences in the processes of initiation and maintenance.
To develop an intervention to focus on sustaining weight loss following initiation and completion of a structure weight loss program, Rothman’s Behavior Change Process  ( ) was used as a guiding framework to focus specifically on continuing weight loss behaviors following an initial change. This framework focuses on transitioning from unhealthy behaviors to healthy behaviors through a 4-step process. The first step is an initial change, where for example, people with obesity begin an exercise program and healthy eating. This is followed by a sustained or continued response where people must overcome challenges and barriers to continuing the new exercise and diet behaviors. Ultimately, people move from the sustained response to a state of maintenance and then habit, where they have integrated the weight loss behaviors into their daily lives. However, for complex behaviors such as weight loss, the transition from continued response to maintenance is challenging [ , , ]. People often relapse, revert back to their old behaviors and regain lost weight [ , ], particularly within the first month of a structured weight loss program [ ].
Due to the obesity epidemic the United States faces, obesity reduction is in critical need of research on sustainability and maintenance strategies. However, different processes govern weight loss initiation versus sustainability [, - ]. Emerging research has suggested interventions target and frame messages about how people reach goals in their life, such as sustained weight loss, through either a prevention or promotion focus; this is known as regulatory focus theory [ ]. This may be beneficial by motivating people to self-regulate and sustain recent behavioral changes [ ] such as weight control [ ]. This may be particularly useful at the continued response phase of the behavior change process. The regulatory focus theory argues that there are two distinct strategies that people use to reach a goal [ ]. People either promote success (promotion) or prevent failure (prevention) [ ]. Although any goal can be pursued with either a promotion or prevention focus, some goals are more compatible with an individual’s innate preference of promotion or prevention. When a goal matches a person’s innate preference for promotion or prevention, it creates a “fit” [ , ]. Messages that “fit” an individual’s regulatory focus resonate more with the individual and are more persuasive [ , ]. Motivational strength is enhanced when goals match a person’s regulatory focus [ ]. Thus, when a “fit” occurs, people are better able to sustain self-regulation and behaviors that allow them to reach their goals such as physical activity, a healthy diet, and weight monitoring.
We must also identify amount, frequency, and timing of delivery of text messages. In regard to the message frequency, the habituation-tedium theory informs us that message frequency is important for message effectiveness . Repeated exposures to messages lead to familiarity and increased effectiveness [ ]. However, too many messages and repetition may lead to tedium, increased boredom, and become burdensome [ ]. With regard to content, studies on content inform us that people need information on a healthy diet, exercise, and self-monitoring of weight loss behaviors [ - ].
The objective of this feasibility and development pilot study involving the use of text messaging was to address 4 aims: (1) to develop promotion and prevention framed weight loss sustaining messages to be delivered via text messaging, (2) to assess participants’ perception of the usefulness and attitudes of the text messages, (3) to understand the frequency and timing of message delivery, and (4) to develop an automated intervention to deliver weight loss sustaining messages via SMS text messaging to people with obesity following a structure weight loss program. We will use the results from this development and pilot study for a subsequent randomized controlled trial (RCT). We chose to make an automated program so that message delivery would be consistent and standardized for all participants and could be an efficient tool for clinicians to deliver weight loss messages to ample patients any day and time of the year.
Since many people begin to relapse within the first month of a structured weight loss program , we initially created 30 text messages, a month’s worth of daily messages on nutrition, exercise, and self-monitoring of weight, diet, and exercise. These are behaviors needed to sustain weight loss activity [ - , - ]. Messages were limited to 140 characters, which is less than the standard length of a single text message of 160 characters, to accommodate for limitations of different cell phone models. Message content was derived from current diet and exercise guidelines [ - ], and the Duke University Diet and Fitness Center, a residential weight management program. Nutrition messages focused on strategies to promote fullness, portion control, and to avoid binge eating and trigger foods, planning meals, coping strategies, and monitoring food intake. Exercise messages focused on benefits of exercise, physical activity goals, overcoming barriers, barriers to initiating and maintaining exercise/physical activity, monitoring exercise amount and intensity, and fitness activities. Self-monitoring messages focused on monitoring and recording of weight, food intake, exercise, identifying poor habits, and reviewing progress with weight and behavior patterns over time [ ]. We then pilot tested the messages for their usefulness and relevance to people who have recently lost at least 5% of their body weight and are attempting to continue their weight loss behaviors.
We framed each message to a promotion and prevention focus for a total of 60 messages to match the Regulatory Focus Theory (see). Two expert health psychologists reviewed the messages to verify they were framed appropriately to match a prevention or promotion orientation. The messages were then pilot tested for their usefulness and relevance.
With IRB approval, we recruited participants from a residential weight management program in North Carolina known as the Duke Diet and Fitness Center. The Duke Diet and Fitness Center provides a residential weight management program that helps people affected by excess weight and impaired physical fitness achieve better health through weight loss, physical conditioning, and improved self-care habits. Clients enroll in a comprehensive program that provides education, practical behavioral strategies, and ongoing support to make long-term changes. The average participant who attends the Duke Diet and Fitness Center loses on average 5% of their initial body weight.
Eligible participants met the following inclusion criteria: (1) ≥18 years old, (2) able to speak and read English, (3) had completed a comprehensive diet and fitness program, (4) had a BMI≥30 at the start of the diet and fitness program, (5) lost 5% of their body weight by the beginning of the study, (6) had their own mobile phone to personally receive SMS text messaging, (7) physically able to access SMS text messaging on their phone, (8) able to continue physical activity for 3 months, (9) did not have a joint replacement scheduled within 3 months, and (10) were capable of informed consent. Participants were compensated $50 for their participation at study completion.
We recruited participants during a self-management class at the Duke Diet and Fitness Center. Those who met the inclusion criteria and agreed to participate, signed an informed consent, and completed a survey including demographic information and the Regulatory Focus Questionnaire (RFQ) to measure if the participants were innately promotion or prevention focused .
Following informed consent, we provided participants an orientation to the intervention. Participants received messages (promotion or prevention) that matched with their RFQ results of preference for promotion or prevention. Messages were set in a queue and alternated between nutrition, exercise, and monitoring. We initially tested the frequency and delivery of the text messages and sent them out daily at an arbitrary time, 9:00 AM. We kept a message delivery log and checked it daily to ensure that appropriate daily messages were delivered to participants.
At 1 and 3 months post-baseline, we sent a text message to participants requesting them to self-report their weight. We also sent an email asking participants when they would be available to take part in a phone interview. We followed-up with non-responders with a telephone call. With participants’ permission, interviews were recorded and transcribed for analysis.
Measures and Variables
At baseline, we obtained through self-report gender, age, education level, and work status. Height, weight, and BMI were obtained at baseline from participants’ medical record. Clinician obtained weights were not possible following completion of the residential weight loss program since participants returned home across the United States. Self-report was deemed as the practical measurement. We used the RFQ  to assess innate promotion or prevention preference to reach goals. This measure consists of 11 5-point Likert-type items (5 prevention, 6 promotion), which assesses the history of individuals’ success at promotion and prevention tasks over the course of their lives. Scores range from −2 to +2. Positive scores indicate greater previous success in promotion self-regulation. Negative scores indicate greater previous success in prevention self-regulation. This scale has established reliability and validity [ ].
We measured feasibility and acceptability at 1 month post-baseline through a semi-structured telephone interview guided by an interview questionnaire. We asked participants how often they read the messages, if there were times when they did not read the messages, and if they encountered technical barriers to assess feasibility and fidelity of the study design and delivery of treatment . We calculated responsiveness and treatment fidelity related to receipt of the messages by how useful and favorable (attitudes) participants felt about the intervention. To assess usefulness, attitudes, and acceptability, participants were asked in the interview how useful they found the text messages, whether they liked the message content, and whether they liked text messaging as an intervention tool for helping to sustain weight loss. In addition, participants were asked if anything occurred during the 90-day study period that may have affected sustaining their weight loss, such as a major life event or participation in other weight loss programs. To assess optimal frequency and timing to deliver the messages, participants were asked their preference about the frequency and timing.
We calculated demographic variables and change in weight using descriptive statistics with SAS Version 9.3. We analyzed interview data using conventional content analysis, a data reduction technique, to look for recurring themes [- ] using Microsoft Excel 2007. The analysis was guided by questions we asked in the interviews on perceived usefulness, attitudes [ - ], and experiences [ - ] of the intervention. The content analysis involved dividing text into segments of information and coding them [ ]. Inferences were made from the codes and collapsed into themes [ ]. A second researcher reviewed approximately half of the interviews. Any disagreements were resolved through discussion and consensus. All codes were agreed upon. Results on perception of the usefulness and attitudes were divided into three categories of negative, positive, and neutral perceptions. Data on the preference for frequency and timing of message delivery were summed.
We enrolled participants (N=16) between September and October 2010. Participants had a mean age of 52.0 (SD 15.5), a mean BMI of 38.1 (SD 7.8), a mean baseline weight of 206.8 pounds (SD 39.8), 81% (13/16) were female, 94% (15/16) were White, and 6% (1/16) was African American. As indicated by the RFQ, 63% (10/16) were innately promotion focused and 37% (6/16) were prevention focused. All participants had a college level education and had previous experience with SMS text messaging technology. Self-reported weight was received from 88% (14/16) of participants via SMS text messaging at 1 and 3 months, and these participants also participated in an individual telephone interview. Weight loss was sustained or continued for 86% (12/14) participants at 1-month post-baseline, and 79% (11/14) participants sustained or continued to lose weight at 3-months post-baseline. The mean change in weight from baseline enrollment to 1 month was −7.4 pounds (SD 8.2) and −13.7 pounds (SD 11.3) at 3 months.
Participants reported from the interviews that the intervention was useful, defined as beneficial in helping them sustain weight loss, and were positive towards the text message content and SMS text messaging technology as an intervention medium. Interview themes indicated the participants perceived the intervention as a reinforcement tool, a reminder, a form of social support, and a useful way to receive short relevant messages directly to them.
Perception of the Usefulness of the Text Messages
The messages were perceived as useful in helping 71% (10/14) of the participants to sustain weight loss. Reinforcement and encouragement arose as a theme. One respondent said, “It really helped me. It was like having a pearl [of wisdom]. I liked that they reinforced behaviors”. Several participants said that the information helped to reinforce and remind them what behaviors they should be performing to sustain weight loss. For example, one participant stated that the messages “helped get the message home.” Participants felt that the message content was appropriate and reflected behaviors they needed to perform to sustain recent weight loss (a healthy diet, physical activity, and monitoring of progress). Twenty-one percent (3/14) of participants noted that they missed the contact of receiving the messages and were disappointed when the study ended.
Some (3/14, 21%) participants enjoyed the messages, but were not sure how much the messages helped them sustain their weight loss. These 3 participants felt that the messages needed to be more motivational and that additional elements such as supportive phone calls, a mentoring program in-person or online, and an online support program with other people who are losing weight should be added to the intervention. One participant said, “Takes more than [a text message] to lose weight.” Furthermore, one participant (7%) did not find the messages useful at all. This participant said the messages were annoying and redundant and that she did not enjoy receiving information she already knew.
Attitudes Towards the Text Messages
While 93% (13/14) of the participants were favorable toward the messages, 7% (1/14) was not favorable toward the messages. Participants reported enjoying and receiving “a daily boost of confidence”, and that they “always looked forward to it.” These messages were also viewed as social support. For example, one participant said, “It says there is somebody out here who cares and is reminding you don’t forget. It just starts your morning.” Another participant said, “It was like having a buddy,” while another said, “It was like someone was over my shoulder. It was like a conscience.”
Usefulness and Attitudes Towards SMS text messaging Technology
All participants thought that SMS text messaging was a favorable communication medium and was a useful way to receive messages promptly and directly. As noted by one participant, “I always have my cell phone on me.” Twenty-nine percent (4/14) noted SMS text messaging was useful because they were able to keep the messages on their phone and it was easy to read them multiple times. Fifty percent (7/14) of participants said that they read the messages multiple times, though it is unknown how many this entails. Twenty-nine percent (4/14) of participants said that they preferred SMS text messaging compared to other mediums such as email or telephone because it directly reaches them, is convenient, and is easy to use. However one older participant, > 65 years old, said that she preferred email over SMS text messaging. Twenty-one percent (3/14) said they forwarded and shared the messages with other people who were also trying to lose weight.
Another theme that emerged was that SMS text messaging is a good tool to deliver short relevant messages. Three participants said that they found the SMS text messaging useful because it consisted of small amounts of relevant information. One participant noted “I have the [weight loss program] material to go back and review, but what I am trying to figure out is what the most powerful tool [information] is for me.” This participant said that SMS text messaging made it easy to find the information and it came directly to her.
Fidelity and Message Delivery
All 14 participants said they read the messages when they knew they arrived. Most participants (11/14, 79%) said that they read the messages every morning during the 30 days of message delivery. Several participants (3/14, 21%) did not read the messages every morning. Of these, one said that she was more tied to email and missed some messages coming in because her phone was on silent or she did not notice the message had arrived. Another was on vacation during part of the intervention and did not receive the messages during that time period. Another participant self-reported technical difficulties with her phone and stopped receiving messages after 2 weeks.
All participants (14/14) thought the frequency of receiving a daily message promoted weight loss sustaining behaviors. Participants felt that weight loss is a daily activity and that receiving messages less frequently would be less effective. Several participants (3/14, 21%) expressed that twice a day would still be appropriate and they indicated that a message in the morning and at night would be acceptable. All participants expressed that the best time to deliver daily messages was in the morning around 8:00 AM. This was expressed as an optimal time because it sets a precedent for the day. One participant noted that receiving a message later in the day may not be as effective because they may have already missed exercising or eaten something not on their dietary plan.
Technical issues did arise, such as a non-functioning phone in one participant and a silent mode or delay in checking the messages by two others. No participants had problems responding their self-reported weight via text message.
This pilot study provided the following lessons learned for the development of an automated text message intervention for sustaining weight loss to be used in a future planned RCT. These included the following:
- Participants want at least one daily message.
- Messages should be delivered at 8:00 AM in a participant’s respective time zone.
- To avoid splitting on some cell phones messages should not be beyond 140 characters.
- Participants’ phone numbers are considered personal identifiable information (PII) and must be used with a secure system.
The Web application for content management, powered by an SMS text messaging gateway, was written in C++, using the Microsoft Visual C++ 2010 compiler. Three code libraries were used: the Microsoft Visual C++ runtime (for basic computer services), Microsoft Foundation Classes (for user interface services), and libcurl (for secure hypertext transfer protocol secure, HTTPS, data transmission services).
The application read a database of configuration information and subject information. Configuration information consisted of the text messages for each planned intervention group and the login information for the HTTPS-based SMS text messaging service. Subject information consisted of each participant’s telephone number, time zone, intervention start date, and intervention group.
The database was in the form of 5 text files on a secure file server. Three files held the list of messages for each intervention group, with one message on each line: arm1.txt, arm2.txt, and control.txt. One file held login information for the HTTPS-based SMS text messaging service, with the account name and password on separate lines, obfuscated by a simple encoding: login.txt. This file optionally held a confirmation number, where a text message confirming successful message delivery was sent. The final file held subject information in a comma-separated value (CSV) format: subjects.txt.
The application also wrote logs of its activity. The database of logs consisted of text files stored on the same secure server as the configuration and subject data. Each log file was named by the date of activity described within the file. The location of the secure file server was stored in a file, SMS text messaging.ini, placed in the same directory as the application itself. If this was not specified, the application defaulted to its own directory.
The application had two modes of use: manual and automatic. Manual mode was for initial setup, testing, and error recovery. Automatic mode was for regular use throughout the course of the trial. Manual functions included SMS text messaging service login configuration, configuration verification, and message sending. Automatic functions were configuration verification and message sending.
The SMS text messaging login configuration function allowed the user to specify the account name and password for the HTTPS-based SMS text messaging service. The user could also specify the confirmation number where a text message confirming successful message delivery was sent.shows this manual function.
Configuration verification read all of the configuration data and confirmed that there were no obvious errors. Configuration verification checked that the lists of text messages for each intervention group each contained 30 messages. Configuration verification checked that the SMS text messaging service login information was present. Finally, it checked that the subject information list was present and formatted correctly. Configuration verification had the option to be triggered manually through the user interface, and was done automatically every time text messages were sent, whether manually or automatically.
Because the intervention specified that each participant receive a text message at 8:00 AM local time, message sending in the application worked by processing the subjects in batches based on time zone. This processing was triggered manually by pressing a button in the user interface, or triggered automatically by setting the computer to run the application as a scheduled task, with an appropriate command-line option.
The application assumed that all subjects were in the continental United States, and therefore had 4 options for sending a batch of messages. The application named the batches using the time (specifically Eastern time zone). Thus, if a batch was sent to the Eastern Time zone at 8:00 AM, it was named “8am,” and the 8:00 AM batch sent to the Pacific time zone was named “11am.” When processing of a batch began, the application went through the following steps:
- Verified the configuration
- Read the subject information and gathered the batch of subjects that were in the current time zone
- Using the subject start date and the current date, calculated which day of the intervention each subject was on, discarding subjects whose intervention had not started yet, or whose intervention was over
- Logged in to the HTTPS-based SMS text messaging service
- For each subject in the batch:
- Selected the appropriate text message using the subject’s calculated intervention day and intervention group the subject was in (for a planned future RCT)
- Sent the selected text message to the subject’s phone number
- If the application was running in automatic mode, and the batch was the first batch of the day (8:00 AM batch), sent a confirmation text message to a confirmation phone number
If an error occurred at any step, the error was logged. Processing continued as much as was possible, including the text confirmation message in the final step. If errors prevented the sending of any messages, the confirmation text message included this information. If a failure occurred during automatic processing, we launched the application in manual mode to identify and fix any configuration errors and attempted to send the message again.
Automatic mode was configured with help from the operating system. For this trial, four Windows Scheduled Tasks were set up, one for each time zone. The tasks were configured to run daily at 8:00 AM, 9:00 AM, 10:00 AM, and 11:00 AM Each task launched the application with a command line option that instructed the application to automatically send the batch of messages for that particular time, like so:
- 8:00 AM: SMS text messaging.exe /run8
- 9:00 AM: SMS text messaging.exe /run9
- 10:00 AM: SMS text messaging.exe /run10
- 11:00 AM: SMS text messaging.exe /run11
The service was set up to “Run As” a user with access to the secure file server, which stored the configuration, subject, and log files. This allowed the service to run daily and send all necessary messages without regular manual intervention.
Patient Privacy Considerations
Patient privacy was a major consideration in the design and development of the application. When designing IT applications such as this, data encryption must be written into the software development. Data are transmitted to participants from a secure server, which reads PII (telephone numbers) and then transmits data to a personal phone through a secure communication protocol HTTPS to a SMS text messaging gateway. HTTPS provides authentication of a third-party SMS text messaging service that this application used to transmit the text messages. This was critical to provide assurance that the application communicated precisely with the website it intended to and ensured the communicated content (eg, PII telephone numbers) were not read by any unintended third parties. mHealth interventions may often times use a third party to transmit SMS text messaging, video messages, voice messages, or other data onto an app. It is imperative that PII is limited regarding what is transmitted and that these third party companies or services also have privacy agreements.
Nevertheless, cell phones are often shared and other people can read information transmitted to participants. This is particularly true for SMS text messaging where user authentication is not available for an individual message at this time beyond having a password protected cell phone. Furthermore, SMS text messaging is fundamentally a non-encrypted communications protocol. Thus, we must be careful and aware of the sensitivity of the delivered content.
These results suggest that it was feasible to develop and deliver promotion and prevention framed weight loss sustaining messages via SMS text messaging to people who have recently completed a structured weight loss program and are in the continued response phase of the behavior change process. Most participants (11/16, 79%) sustained or continued to lose weight at 3 months post-baseline and had a mean change in weight from baseline enrollment to 3 months of −13.7 pounds (SD 11.3). Many participants felt that the messages helped them stay motivated. Several participants expressed that they felt they had a companion with the daily messages and that it was important to receive daily reminders. Of the 3 participants who had a neutral perception and the one who had a negative perception of the intervention, all indicated they would have preferred the messages to either be more motivational or have additional components such as a telephone element or online discussion group. All 3 continued to lose weight at month 3.
All participants were positive about the SMS text messaging delivery method. Participants expressed favorability towards SMS text messaging because messages were delivered directly to them. Most of the participants read the messages every day; however some technical issues did arise.
In regard to the message frequency, the habituation-tedium theory suggests that message frequency is important for message effectiveness . Repeated exposures to messages lead to familiarity and increased effectiveness. However, too many messages and repetition may lead to tedium, increased boredom, and become burdensome. Thus, it is imperative that optimal frequency of message delivery be determined prior to testing an effectiveness trial. Previous studies report a daily text message had a positive clinical effect on behavior [ , , ] and a review of the literature on SMS text messaging weight loss interventions indicated that once a day might be appropriate to help motivate people to engage in weight loss behaviors without creating substantial burden [ ]. Results from suggest that once a day was deemed as the most appropriate message frequency and 8:00 AM as the best delivery time. However because weight loss is a continuous process, several participants indicated that receiving messages twice a day, preferably at morning and night would be beneficial. In relation to the habituation-tedium theory, more than twice a day would be considered burdensome and create tedium, while fewer than once a day would not be effective and fail to reach habituation. Thus, the ideal frequency for message effectiveness was at least once a day and no more than two times a day. SMS text messaging also emerged as an appropriate medium to collect self-report data on weight.
As stage 2 of Meaningful Use is upon us, the Center for Medicare and Medicaid Services guidelines call on providers and researchers to determine whether personally identifiable health data is secure in storage, with the goal of encouraging providers to encrypt data when it's transmitted to mobile devices. In the design of our SMS text messaging intervention, we specifically took strides to ensure that data would be stored on a secure server and would transmit data securely to a third party SMS text messaging service. When selecting a third party service it is crucial that one is used in which privacy rules are in place and data security is robust.
This feasibility and development pilot study was limited in sample size, and the majority of participants were from a more affluent and educated background, mostly White non-Hispanic, and not representative of the general US population. Furthermore, the study relied on self-report of weight. Because scales can vary, baseline report of weight at the Duke Diet and Fitness Center may differ from the self-report of weight that participants take at home. Nevertheless, the accuracy of self-reported weight has been demonstrated in Internet-based weight loss treatment programs and has shown to be comparable to observed weight . In addition, participants who left the residential weight loss program did not return to the program for follow-up weights. Thus, the self-reporting of weight reflects a more realistic application and evaluation. Though we asked participants if they read every message, we did not inquire if participants read the words when the messages arrived. Furthermore, we did not assess the effects of the message framing in this pilot study. Despite the limitations, the results from this pilot study were useful and helped guide the development of an evidence-based and theoretically driven SMS text messaging intervention.
Implications for Clinical Practice
SMS text messaging interventions have the potential to be easy-to-use tools that clinicians and consumers can use to help manage chronic conditions and sustain healthy behaviors. Because text messaging is such a ubiquitous medium of communication, it can allow providers to easily reach and deliver care directly to their patients. One can envision this SMS text messaging intervention being leveraged in primary care clinics and weight loss specific centers as a way to extend care affordably. Tools such as this could also easily be leveraged for many other self-managed chronic diseases such as diabetes, hypertension, and glaucoma.
As a pilot study of a larger weight loss sustaining RCT intervention, results from this pilot study provide valuable insights on development of weight loss text messages, frequency, timing, and the development of an automated mHealth text messages intervention. Consistent with the literature [, , ], SMS text messaging was an appropriate and accepted tool to deliver health promotion content. Our next steps using the message content, information on frequency and timing, and application developed in this study, are to assess the effects of these weight loss-sustaining messages and the intervention on sustaining weight loss and preventing relapse. We will also examine the differential effects of framed weight loss messages on sustaining weight loss in a RCT at the Duke Diet and Fitness Center.
This study was supported by a Duke University Health System Information Technology Fellowship, a National Research Service Award 1F31 NR012599 from the National Institutes of Health (NIH), National Institute of Nursing Research (NINR), Health Services Research and Development Service, Department of Veterans Affairs, Office of Academic Affiliations TPP-21-021, and in part by the Duke University Clinical and Translational Science Award TL1 RR024126-05 from the National Center for Research Resources (NCRR), a component of the NIH. The content is solely the responsibility of the authors and does not necessarily represent the official views of Duke University, the NIH or the US Department of Veterans Affairs.
Conflicts of Interest
Conflicts of Interest: None declared.
- Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of co-morbidities related to obesity and overweight: a systematic review and meta-analysis. BMC Public Health 2009;9:88 [FREE Full text] [CrossRef] [Medline]
- Finkelstein EA, Fiebelkorn IC, Wang G. State-level estimates of annual medical expenditures attributable to obesity. Obes Res 2004 Jan;12(1):18-24. [CrossRef] [Medline]
- National Center for Chronic Disease Prevention and Health Promotion. 2009 Oct 17. OBESITY halting the epidemic by making health easier URL: http://www.cdc.gov/chronicdisease/resources/publications/AAG/obesity.htm [accessed 2013-01-18] [WebCite Cache]
- Bray GA. Lifestyle and pharmacological approaches to weight loss: efficacy and safety. J Clin Endocrinol Metab 2008 Nov;93(11 Suppl 1):S81-S88 [FREE Full text] [CrossRef] [Medline]
- Kraschnewski JL, Boan J, Esposito J, Sherwood NE, Lehman EB, Kephart DK, et al. Long-term weight loss maintenance in the United States. Int J Obes (Lond) 2010 Nov;34(11):1644-1654. [CrossRef] [Medline]
- MacLean PS, Higgins JA, Wyatt HR, Melanson EL, Johnson GC, Jackman MR, et al. Regular exercise attenuates the metabolic drive to regain weight after long-term weight loss. Am J Physiol Regul Integr Comp Physiol 2009 Sep;297(3):R793-R802 [FREE Full text] [CrossRef] [Medline]
- Jeffery RW, Bjornson-Benson WM, Rosenthal BS, Lindquist RA, Kurth CL, Johnson SL. Correlates of weight loss and its maintenance over two years of follow-up among middle-aged men. Prev Med 1984 Mar;13(2):155-168. [Medline]
- Baum JG, Clark HB, Sandler J. Preventing relapse in obesity through posttreatment maintenance systems: comparing the relative efficacy of two levels of therapist support. J Behav Med 1991 Jun;14(3):287-302. [Medline]
- Schoeller DA, Shay K, Kushner RF. How much physical activity is needed to minimize weight gain in previously obese women? Am J Clin Nutr 1997 Sep;66(3):551-556 [FREE Full text] [Medline]
- Kramer FM, Jeffery RW, Forster JL, Snell MK. Long-term follow-up of behavioral treatment for obesity: patterns of weight regain among men and women. Int J Obes 1989;13(2):123-136. [Medline]
- Wadden T, Letizia KA. Predictors of attrition weight loss in patients treated by moderate and severe caloric restriction. In: Wadden T, Van Itallie TB, editors. Treatment of the seriously obese patient. New York: Guilford Press; 1992:383-410.
- National Institutes of Health. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults-the evidence report. Obes Res 1998 Sep;6 Suppl 2:51S-209S. [Medline]
- Atun RA, Sittampalam SR. The Role of Mobile Phones in Increasing Accessibility and Efficiency in Healthcare. Berkshire, UK: Vodafone Group Plc; 2006. A review of the characteristics and benefits of SMS in delivering health care URL: http://www.vodafone.com/content/dam/vodafone/about/public_policy/policy_papers/public_policy_series_4.pdf [accessed 2013-04-29] [WebCite Cache]
- Ling R. The mobile connection: the cell phone's impact on society. San Francisco, CA: Morgan Kaufmann Publishers; 2004.
- Rice R, Katz JE. Comparing Internet and mobile phone usage: digital divides of usage, adoption, and dropouts. Telecommunications Policy 2003 Sep;27(8-9):597-623. [CrossRef]
- Goggin G. Cell phone culture: mobile technology in everyday life. New York, NY: Routledge; 2006.
- Krishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health 2009 Apr;15(3):231-240. [CrossRef] [Medline]
- Smith A. Americans and text messaging. Washington, DC: Pew Research Center; 2011. URL: http://www.pewinternet.org/~/media//Files/Reports/2011/Americans%20and%20Text%20Messaging.pdf [accessed 2013-04-29] [WebCite Cache]
- Anhøj J, Møldrup C. Feasibility of collecting diary data from asthma patients through mobile phones and SMS (short message service): response rate analysis and focus group evaluation from a pilot study. J Med Internet Res 2004 Dec 2;6(4):e42 [FREE Full text] [CrossRef] [Medline]
- Benhamou PY, Melki V, Boizel R, Perreal F, Quesada JL, Bessieres-Lacombe S, et al. One-year efficacy and safety of Web-based follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study. Diabetes Metab 2007 Jun;33(3):220-226 [FREE Full text] [CrossRef] [Medline]
- Brendryen H, Drozd F, Kraft P. A digital smoking cessation program delivered through internet and cell phone without nicotine replacement (happy ending): randomized controlled trial. J Med Internet Res 2008;10(5):e51 [FREE Full text] [CrossRef] [Medline]
- Casey RG, Quinlan MR, Flynn R, Grainger R, McDermott TE, Thornhill JA. Urology out-patient non-attenders: are we wasting our time? Ir J Med Sci 2007 Dec;176(4):305-308. [CrossRef] [Medline]
- Dunbar PJ, Madigan D, Grohskopf LA, Revere D, Woodward J, Minstrell J, et al. A two-way messaging system to enhance antiretroviral adherence. J Am Med Inform Assoc 2003;10(1):11-15 [FREE Full text] [Medline]
- Franklin VL, Waller A, Pagliari C, Greene SA. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med 2006 Dec;23(12):1332-1338. [CrossRef] [Medline]
- Lim MS, Hocking JS, Hellard ME, Aitken CK. SMS STI: a review of the uses of mobile phone text messaging in sexual health. Int J STD AIDS 2008 May;19(5):287-290. [CrossRef] [Medline]
- Warwick Z, Dean G, Carter P. B safe, B sorted: results of a hepatitis B vaccination outreach programme. Int J STD AIDS 2007 May;18(5):335-337. [CrossRef] [Medline]
- Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, et al. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res 2009;11(1):e1 [FREE Full text] [CrossRef] [Medline]
- Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med 2009 Feb;36(2):165-173. [CrossRef] [Medline]
- Ferrer-Roca O, Cárdenas A, Diaz-Cardama A, Pulido P. Mobile phone text messaging in the management of diabetes. J Telemed Telecare 2004;10(5):282-285. [Medline]
- Joo NS, Kim BT. Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. J Telemed Telecare 2007;13(8):416-420. [CrossRef] [Medline]
- Shaw R, Bosworth H. Short message service (SMS) text messaging as an intervention medium for weight loss: A literature review. Health Informatics J 2012 Dec;18(4):235-250. [CrossRef] [Medline]
- Shapiro JR, Koro T, Doran N, Thompson S, Sallis JF, Calfas K, et al. Text4Diet: a randomized controlled study using text messaging for weight loss behaviors. Prev Med 2012 Nov;55(5):412-417. [CrossRef] [Medline]
- Brug J, Oenema A, Ferreira I. Theory, evidence and intervention mapping to improve behavior nutrition and physical activity interventions. Int J Behav Nutr Phys Act 2005 Apr 4;2(1):2 [FREE Full text] [CrossRef] [Medline]
- Wadden TA, Frey DL. A multicenter evaluation of a proprietary weight loss program for the treatment of marked obesity: a five-year follow-up. Int J Eat Disord 1997 Sep;22(2):203-212. [Medline]
- Wadden TA, Sternberg JA, Letizia KA, Stunkard AJ, Foster GD. Treatment of obesity by very low calorie diet, behavior therapy, and their combination: a five-year perspective. Int J Obes 1989;13 Suppl 2:39-46. [Medline]
- Rothman AJ. Toward a theory-based analysis of behavioral maintenance. Health Psychol 2000 Jan;19(1 Suppl):64-69. [Medline]
- Toobert DJ, Strycker LA, Barrera M, Glasgow RE. Seven-year follow-up of a multiple-health-behavior diabetes intervention. Am J Health Behav 2010;34(6):680-694 [FREE Full text] [Medline]
- Perri MG, Corsica JA. Improving the maintenance of weight loss in behavioral treatment of obesity. In: Handbook of Obesity Treatment. New York: The Guilford Press; 2002:357-359.
- Curry SJ, McBride CM. Relapse prevention for smoking cessation: review and evaluation of concepts and interventions. Annu Rev Public Health 1994;15:345-366. [CrossRef] [Medline]
- Jeffery RW, Forster JL, French SA, Kelder SH, Lando HA, McGovern PG, et al. The Healthy Worker Project: a work-site intervention for weight control and smoking cessation. Am J Public Health 1993 Mar;83(3):395-401. [Medline]
- Perri MG, Nezu AM, Patti ET, McCann KL. Effect of length of treatment on weight loss. J Consult Clin Psychol 1989 Jun;57(3):450-452. [Medline]
- Rothman AJ, Baldwin AS, Hertel AW, Fuglestad PT. Self-regulation and behavior change: disentangling behavioral initiation and behavioral maintenance. In: Vohs K, Baumeister R, editors. Handbook of Self-Regulation: Research, Theory, and Applications. New York: The Guilford Press; 2004:130-148.
- Baldwin AS, Rothman AJ, Hertel AW, Linde JA, Jeffery RW, Finch EA, et al. Specifying the determinants of the initiation and maintenance of behavior change: an examination of self-efficacy, satisfaction, and smoking cessation. Health Psychol 2006 Sep;25(5):626-634. [CrossRef] [Medline]
- Finch EA, Linde JA, Jeffery RW, Rothman AJ, King CM, Levy RL. The effects of outcome expectations and satisfaction on weight loss and maintenance: correlational and experimental analyses-a randomized trial. Health Psychol 2005 Nov;24(6):608-616. [CrossRef] [Medline]
- Rothman AJ, Hertel AW, Baldwin AS, Bartels R. Integrating theory and practice: understanding the determinants of health behavior change. In: Shah J, Gardner W, editors. Handbook of Motivation Science. New York: The Guilford Press; 2007:494-507.
- Higgins ET. Self-discrepancy: a theory relating self and affect. Psychol Rev 1987 Jul;94(3):319-340. [Medline]
- Higgins ET. Making a good decision: value from fit. Am Psychol 2000 Nov;55(11):1217-1230. [Medline]
- Fuglestad PT, Rothman AJ, Jeffery RW. Getting there and hanging on: the effect of regulatory focus on performance in smoking and weight loss interventions. Health Psychol 2008 May;27(3 Suppl):S260-S270. [Medline]
- Lee AY, Aaker JL. Bringing the frame into focus: the influence of regulatory fit on processing fluency and persuasion. J Pers Soc Psychol 2004 Feb;86(2):205-218. [CrossRef] [Medline]
- Cesario J, Grant H, Higgins ET. Regulatory fit and persuasion: transfer from "Feeling Right". J Pers Soc Psychol 2004 Mar;86(3):388-404. [CrossRef] [Medline]
- Spiegel S, Grant-Pillow H, Higgins ET. How regulatory fit enhances motivational strength during goal pursuit. Eur J Soc Psychol 2004 Jan;34(1):39-54. [CrossRef]
- Berlyne D. Novelty, complexity, and hedonic value. Perception & Psychophysics 1970 Sep;8(5):279-286. [CrossRef]
- Wing RR, Hill JO. Successful weight loss maintenance. Annu Rev Nutr 2001;21:323-341. [CrossRef] [Medline]
- Klem ML, Wing RR, McGuire MT, Seagle HM, Hill JO. A descriptive study of individuals successful at long-term maintenance of substantial weight loss. Am J Clin Nutr 1997 Aug;66(2):239-246 [FREE Full text] [Medline]
- Wing RR, Phelan S. Long-term weight loss maintenance. Am J Clin Nutr 2005 Jul;82(1 Suppl):222S-225S [FREE Full text] [Medline]
- Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 2007 Aug;39(8):1423-1434. [CrossRef] [Medline]
- US Department of Health Human Services, US Department of Agriculture. Dietary Guidelines for Americans, 2010. Washington, DC: US Government Printing Office; Dec 2010.
- Kant AK, Graubard BI, Schatzkin A. Dietary patterns predict mortality in a national cohort: the National Health Interview Surveys, 1987 and 1992. J Nutr 2004 Jul;134(7):1793-1799 [FREE Full text] [Medline]
- Shaw RJ. A mobile health intervention to sustain recent weight loss. Durham, NC: Duke University Libraries; 2012. URL: http://dukespace.lib.duke.edu/dspace/handle/10161/5866 [accessed 2013-04-29] [WebCite Cache]
- Higgins E, Friedman RS, Harlow RE, Idson LC, Ayduk ON, Taylor A. Achievement orientations from subjective histories of success: Promotion pride versus prevention pride. Eur J Soc Psychol 2001 Jan;31(1):3-23. [CrossRef]
- Bellg AJ, Borrelli B, Resnick B, Hecht J, Minicucci DS, Ory M, Treatment Fidelity Workgroup of the NIH Behavior Change Consortium. Enhancing treatment fidelity in health behavior change studies: best practices and recommendations from the NIH Behavior Change Consortium. Health Psychol 2004 Sep;23(5):443-451. [CrossRef] [Medline]
- Graneheim UH, Lundman B. Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today 2004 Feb;24(2):105-112. [CrossRef] [Medline]
- Polit D, Beck CT. Nursing research: principles and methods. Philadelphia: Lippincott Williams & Wilkins; 2004.
- Sandelowski M. Qualitative analysis: what it is and how to begin. Res Nurs Health 1995 Aug;18(4):371-375. [Medline]
- Resnick B, Inguito P, Orwig D, Yahiro JY, Hawkes W, Werner M, et al. Treatment fidelity in behavior change research: a case example. Nurs Res 2005;54(2):139-143. [Medline]
- Borrelli B, Sepinwall D, Ernst D, Bellg AJ, Czajkowski S, Breger R, et al. A new tool to assess treatment fidelity and evaluation of treatment fidelity across 10 years of health behavior research. J Consult Clin Psychol 2005 Oct;73(5):852-860. [CrossRef] [Medline]
- Dane AV, Schneider BH. Program integrity in primary and early secondary prevention: are implementation effects out of control? Clin Psychol Rev 1998 Jan;18(1):23-45. [Medline]
- Neuendorf KA. The content analysis guidebook. Thousand Oaks, Calif: Sage Publications; 2002.
- Creswell JW. Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Thousand Oaks, CA: Sage Publications, Inc; 2007.
- Riley W, Obermayer J, Jean-Mary J. Internet and mobile phone text messaging intervention for college smokers. J Am Coll Health 2008;57(2):245-248. [CrossRef] [Medline]
- Harvey-Berino J, Krukowski RA, Buzzell P, Ogden D, Skelly J, West DS. The accuracy of weight reported in a Web-based obesity treatment program. Telemed J E Health 2011 Nov;17(9):696-699 [FREE Full text] [CrossRef] [Medline]
|BMI: body mass index|
|CSV: comma-separated value|
|HTTPS: hypertext transfer protocol secure|
|PII: personal identifiable information|
|RCT: randomized controlled trial|
|RFQ: Regulatory Focus Questionnaire|
|SMS: short message service|
Edited by G Eysenbach; submitted 06.09.12; peer-reviewed by H Cole-Lewis, B Gerber, R Furberg, D Clark, S Haug; comments to author 22.12.12; revised version received 12.02.13; accepted 21.04.13; published 07.05.13
©Ryan J Shaw, Hayden B Bosworth, Jeffrey C Hess, Susan G Silva, Isaac M Lipkus, Linda L Davis, Constance M Johnson. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 02.05.2013.
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