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JMIR Research Protocols logoLink to JMIR Research Protocols
. 2013 Feb 13;2(1):e11. doi: 10.2196/resprot.2331

Development and Formative Evaluation of a Web-Based Self-Management Exercise and Diet Intervention Program With Tailored Motivation and Action Planning for Cancer Survivors

Myung Kyung Lee 1, Hyeoun-Ae Park 2,✉,#, Young Ho Yun 3,#, Yoon Jung Chang 4
Editor: Gunther Eysenbach
Reviewed by: Richard C Palmer
PMCID: PMC3628152  PMID: 23612029

Abstract

Background

Most dietary and exercise interventions developed to date for cancer survivors have employed intensive clinic-based face-to-face counseling sessions. However, when the clinic-based face-to-face intervention ends, the participants cannot receive feedback from the experts, and the motivation for regular exercise and diet practices decreases. One way to overcome the shortcomings of clinic-based face-to-face intervention is to employ the Internet to this end. To maximize effectiveness when providing Web-based interventions, action planning should be able to start at the right time, education should be tailored to motivational readiness, and self-efficacy should be enhanced at appropriate intervals.

Objective

The aim of this study was to develop a Web-based self-management diet and exercise intervention program with the aid of the transtheoretical model (TTM) and to conduct formative evaluations.

Methods

The Web-based self-management exercise and diet intervention program was developed employing a 5-phase system development life-cycle (SDLC) method. The 5 phases were 1) identification of user requirements, 2) system design, 3) system development, 4) system evaluation, and 5) system application. An expert group composed of 3 content experts, a Web developer, and 2 Web designers, evaluated the usability and accuracy of the content. The program was evaluated by 30 breast cancer survivors for perceived ease of use.

Results

The Web-based self-managed exercise and diet intervention program contained 5 components differing in screen layout. These components are introduction, assessment, education (tailored information provision), action planning (goal setting, scheduling, keeping a diary), and automatic feedback. Education, action planning, and automatic feedback were tailored to each participant through the assessment. The processes of change, self-efficacy, and decisional balance, which are the principal strategies encouraging behavioral change according to the TTM theory, were reflected in the education, and self-efficacy was also reflected in the automatic feedback. After iterative testing by experts on problems that arose in terms of usability and content accuracy during system operation, the perceived ease of use of the program was evaluated by 29 breast cancer survivors. The end users rated the program as being easy to understand and use (a total usability score of 81.3 points). In addition, program feasibility was evaluated using the percentage of patients (27/30, 90%) who consistently used the program.

Conclusions

The use of Internet technology allowed immediate and easy access to interventions, real-time monitoring of progress, online education, tailored action planning, and tailored short message services using mobile phones.

Keywords: Internet, health planning, exercise, diet, self-care, wellness programs

Introduction

Survival rates of cancer have improved steadily over the past 30 years [1]. This trend toward improved survival appears likely to continue. Such increases in the number of cancer survivors indicate that quality of life (QOL) issues among survivors must be addressed.

One common health problem in cancer survivors at diagnosis, during treatment, and after treatment is being underweight or overweight. Substantial weight loss has been documented in more than 50% of patients at diagnosis [2]. Symptoms including anorexia, early satiety, changes in taste and smell, and disturbances of the gastrointestinal tract are common side effects of cancer treatment, and such symptoms lead to substantial weight loss [3]. Also, many cancer survivors are overweight or obese at diagnosis. Weight gain (ie, sarcopenic obesity) can be a complication of cancer treatment [4] and is commonly observed during or after treatment of various cancers [3]. In particular, weight gain after cancer diagnosis increases the incidence of subsequent chronic disease, such as cardiovascular disease, diabetes, hypertension, secondary cancers, and cancer recurrence [5]. Both being underweight and overweight negatively affect health related QOL (HRQOL)[6] and survival [7]. For these reasons, maintaining a healthy weight is one of the top priorities when addressing the healthcare needs of cancer survivors [3].

Regular exercise and a balanced diet are essential for healthy weight management. Most dietary and exercise interventions developed to date have employed intensive clinic-based face-to-face counseling sessions [3]. Although the efficacy of such interventions is apparent immediately after delivery, once sufficient time has elapsed, the effects of the intervention cannot be found [8-11] or sustained [12]. The reason is that when the clinic-based face-to-face intervention ends, the participants cannot receive feedback from the experts, and the motivation for regular exercise and diet practices decreases [12]. In addition, the location of the clinic, travel time, and transportation issues are substantial barriers to the successful implementation of clinic-based face-to-face programs [13].

One way to overcome the shortcomings of clinic-based face-to-face intervention is to employ the Internet to this end. To maximize effectiveness when providing Web-based interventions, timely feedback on progress toward desired outcomes should be provided [14], action planning should be able to start at the right time [15], education should be tailored to motivational readiness [16], and self-efficacy should be enhanced at appropriate intervals [17]. The transtheoretical model (TTM) [18] integrates the concepts of self-efficacy and motivation with strategies including tailored feedback and action planning, and arranges these concepts and strategies to guide timely intervention. Therefore, it seemed appropriate to develop a Web-based self-management program using the TTM. The program sought to promote regular exercise and the adoption of a balanced diet to facilitate weight management.

Within the background, the overall aim of this study was to develop a Web-based self-management exercise and diet program featuring the delivery of education, the development of the capacity to plan, automatic feedback employing TTM-based strategies, and to evaluate whether the program was feasible.

Methods

Overview

The Web-based self-management exercise and diet intervention program was developed between February 1 and September 30, 2011, employing a 5-phase system development life-cycle method, which included identification of user requirements, system design, system development, system evaluation, and system application.

Phase I: Identification of User Requirements

System requirements included content and functionality. The content requirements of the Web-based self-management exercise and diet intervention program, called Health Planner, was determined via a review of the literature on the diet and exercise requirements of cancer patients after primary treatment. In addition, the development of Health Planner had been referenced to the prior Web-based application, Health Navigation [19], and the this study was part of a larger study—the TTM-based health management program for cancer survivors, called Leadership and Coaching for Health (LEACH). These studies might be applied to empower patients’ ability to take care of themselves in the chronic care model [20]. For LEACH, interviews were conducted from September 2010 to March 2011 using semi-structured questions to seek case information on the healthy habits (ie, positive mindset, regular exercise, healthy diet, regular checkups, no smoking, not overworking), leadership, and commitment possessed by 46 cancer survivors (those who survived more than 5 years after diagnosis). Of the brief notes derived from the interviews, content on exercise and diet habits was extracted and reflected in Health Planner. Before each interview, each participant was informed as to the aim of the project. With semi-structured interviews [21], participants were encouraged to suggest, based on personal experience, information that should be provided to cancer patients. We prioritized information derived from cancer survivors, and selected content items after a consideration of the relevance of such items to our aim of providing effective weight management techniques to cancer survivors.

The functional requirements of the Web-based self-management exercise and diet intervention program were assessed by a review of existing Web-based health management programs for cancer survivors, and were also informed by TTM-based strategies (ie, functions such as stage-matched education, feedback, and action planning).

Phase II: System Design

During system design, the content and function of the program were clearly defined with reference to the scope and the objectives. This was achieved by the selection of requirements identified in the first phase. Such clearly defined content and functional requirements were incorporated into the system with the aid of TTM theory. Screen layouts were designed to encompass these; all on-screen were designed with these principles in mind. To render visual communication effectively, and to provide users with a clear and consistent conceptual structure, the user interfaces were designed to be consistent and to be easily navigable.

Phase III: System Development

The system was developed on Microsoft Windows (Microsoft, Washington, DC, USA) the Web server application Apache Tomcat 6.0 (Apache Software Foundation, Forest Hill, MD, USA), and the database management system Oracle 10g (Oracle, Redwood Shores, CA, USA) environment. The program was written using Java (Oracle, Redwood Shores, CA, USA) and the JSP Standard Template Library (Sun Microsystems Inc, Santa Clara, CA, USA). Photoshop 8.0 (Adobe Systems, San Jose, CA, USA) and Flash 8 (Adobe Systems, San Jose, CA, USA) were used for Web page design. A short message service (SMS) module was integrated into the program.

Phase IV: System Evaluation

In this phase, the usability and accuracy of the content were evaluated by an expert group, composed of 3 content experts (a nutritionist, an exercise physiologist, and a clinical nurse, all of whom had PhDs), a Web developer, and 2 Web designers. Each component of the program, each element of the content, and all design features were repeatedly tested several times to determine whether any usability problem persisted, whether the content was accurate, if the program had been appropriately modified, and whether the group feedback had been incorporated.

The perceived ease of use of the program was evaluated by 29 breast cancer survivors. Breast cancer patients who had received curative breast cancer surgery with histologically confirmed stage 0-3 cancer were recruited consecutively from participating cancer registries of the 4 study hospitals. These 29 end users completed questionnaires exploring perceptions of the program [22,23]. The scores of items couched in negative terms were reversed; higher scores thus reflect a greater perceived ease of use. Cronbach alpha coefficient was 0.87. In addition, program feasibility was evaluated using the percentage of the patients who consistently used the program for 12 weeks.

Phase V: System Application

The system developed has been applied to the experimental group of the other interventional study to test program efficacy. The protocol of the intervention study is shown in Multimedia Appendix 1.

Results

Identifying User Requirements

The content requirements of the Web-based self-managed exercise and diet intervention program were identified by interviewing one key group of cancer patients (who survived more than 5 years after diagnosis) and by reviewing the literature.

Cancer survivors who were questioned about their habits regarding healthy diets reported that they wish to know what to eat and what not to eat. The cancer survivors described the difficulties they faced in maintaining a healthy diet that included at least 5servings of fruits and vegetables (F&V) per day due to lack of preparation time, taste concerns, and fear of pesticide exposure. Several survivors were skeptical about dietary recommendations because information from mass media and research studies often conflicted. However, because most believed that consumption of more F&V afforded overall health benefits, such informational conflicts did not deter the adoption of balanced diets. Some cancer survivors emphasized that it was very difficult to become motivated to change their diet to include more healthy foods. Participants gradually changed their diet over time. Some reported that tight schedules prompted them to eat out more often than they would prefer. They also reported difficulties finding healthy foods in restaurants. A few survivors commented on the high cost of organic vegetables and that F&V spoiled quickly. Even though cost and spoilage were thus identified as barriers, F&V were still consumed.

The main concerns for cancer survivors related to exercise were whether being overweight increases the risk of cancer recurrence, how to exercise during treatment and recovery, and what kinds of special precautions should be taken when exercising. Many women reported that it was difficult to schedule exercise time. A few mentioned that they had followed a routine at one time, but had stopped because cancer treatment had interrupted it or because they lacked an exercise partner. Several barriers rendering inadequate exercise were identified. These included side effects (especially fatigue) of cancer treatment, not having a local gym, and not living near a park. Bad weather sometimes prevented exercise. Some women commented that it was difficult to feel motivated to exercise. Encouragement from friends, or a few words from their doctors, made lasting impressions on them. Participants who discovered a sense of increased energy and a feeling of well-being when exercising were more motivated to maintain physical activity programs. Some female survivors claimed that it was difficult to exercise, particularly when it was dark outside.

Program content requirements obtained by reviewing literature included the need to improve exercise and dietary behavior in cancer survivors [24], the importance of healthy weight management [25,26], barriers to regular exercise and a balanced diet [27], considerations when planning exercise and diet [3], outcomes (such as recurrence, QOL, and survival) associated with the performance of regular exercise and a balanced diet [27,28], exercise and dietary guidelines for cancer survivors [29], and maintenance of regular exercise and balanced diet programs [24].

The functional requirements of the Web-based self-management exercise and dietary intervention program identified by a review of existing Web-based health management programs for cancer survivors were provisions of information, feedback, and evaluation. The functional requirements obtained from a consideration of TTM-based strategies were tailored education, action planning [15,30,31], automatic feedback [14], and comparison between the current status and recommended goal levels of exercise and diet [32].

System Design and Development

Overall

After clearly defining the content and functional requirements within the scope and objectives of the program, they were arranged and refined with the aid of the TTM theory. The Web-based self-managed exercise and diet intervention program contained 5 components differing in screen layout, which includes the introduction, assessment, education (tailored information provision), action planning (goal setting, scheduling, keeping a diary), and automatic feedback. That is, the program was designed to deliver education, action planning, and automatic feedback relevant to each of the stages of change. Education, action planning, and automatic feedback were tailored to each participant through the assessment. The processes of change, self-efficacy, and decisional balance are the principal strategies encouraging behavioral change according to the TTM theory and were reflected in the education [33-35]. Self-efficacy was also reflected in the automatic feedback. The details of each component of the program are as follows.

Introduction

The introduction informed participants of the overall background for developing Health Planner, the usage of the program, and the importance of exercising regularly and eating properly in maintaining good health for cancer survivors.

Assessment

The assessment section allowed participants to input their physical activity level, body weight, and stage of motivational readiness. All participants were screened for any contraindications to exercise using the physical activity readiness questionnaire [36] during assessment. Using algorithms based on input data, each patient could access tailored information appropriate to each stage of change, and was prescribed the appropriate number of portions of 6 food groups given their physical activity level and body mass index (BMI, measured on a daily basis).

Education

Each participant was scheduled to be online for 5-10 minutes each week. The educational content was divided into 5 modules based on the current stage of motivational readiness of each patient through assessment [18]. For patients in the precontemplation stage, education focused on raising consciousness, dramatic relief, environmental reevaluation, and increasing the number of pros. For patients in the contemplation stage, education focused on self-reevaluation, increasing the number of pros, decreasing the number of cons, and building self-efficacy. For patients in the preparation stage, education focused on self-liberation, and remembering and increasing the number of pros. For patients in the action and maintenance stages, education focused on reinforcement, assisting with relationships, counter-conditioning, stimulus control, and management of temptation.

Action Planning

Components

The action planning included setting a recommended goal, planning, keeping a diary, and comparing between current and recommended levels of exercise and diet. Each participant was encouraged to actively plan their exercise behavior in line with the American Cancer Society (ACS) guidelines for cancer survivors [24], and to achieve an excellent dietary score (measured using the Korean version of the Diet Quality Index). The details of exercise and diet planning delivered via Health Planner are as follows.

Exercise Planning

The goal of exercising was to perform at least moderate-intensity aerobic exercise for at least 30 minutes on at least 5 days each week (to yield 12.5 metabolic equivalents of energy expenditure, in line with ACS guidelines for cancer survivors) [24]. Health Planner generated a tailored plan for each participant through assessment. If a patient had no history of exercise prior to cancer treatment, exercise was gradually introduced [3]. Planning regular exercise was set to start at the preparation stage. The exercise was to be aerobic in nature, and the specific type of exercise was based on individual patient preference. The type, intensity, duration, and frequency of exercise could be self-adjusted as necessary depending on patient age, history of exercise, and subjective experience of tiredness. Exercise plan was implemented as an event on a calendar.

Dietary Planning

The goal of dietary planning was to achieve an excellent dietary quality score (measured using the Diet Quality Index [37]). The aims included an energy level derived from fat of ≤20%, an energy level derived from saturated fat of ≤6%, cholesterol ≤300 mg/day, an energy level derived from carbohydrates of ≤65%, an intake of vegetables and fruit of ≥7 servings/day, a protein recommended dietary allowance of 75-125%; a calcium recommended dietary allowance of 75-125%; and a sodium intake of ≤3500 mg/day. Dietary planning was based on individual BMI values, ideal body weights, and daily calorific requirements. Each patient was educated in terms of the recommended daily number of portions from the 6 food groups (grain, meat/fish/eggs/beans, vegetables, fruit, milk and dairy products, and fats and oils) as suggested by the Korean Nutrition Society (2010). All participants were encouraged to achieve a balanced diet.

Participants recorded the daily number of portions of 6 food groups consumed in a dietary diary and daily exercise behavior (type, intensity, and duration) in an exercise diary. These data were used to give automatic feedback on progress toward goal attainment (the SMS module was employed toward this end). The data were also presented visually where a graph compared the actual amount of exercise done, dietary intake, and the behaviors to what were recommended.

Automatic Feedback

Participants were asked to input, on a daily basis, the number of portions from the 6food groups consumed and the details of their exercise behavior (type, intensity, and duration of exercise) as shown in the exercise and dietary diaries. This information was used to provide feedback on progress toward goal attainment in the SMS module. Comparisons of the daily number of portions from the 6 food groups consumed with the recommended number, and of the weekly energy expenditure on aerobic exercise with the exercise goal identified patients who attained goal behaviors. These patients were given immediate reinforcement via positive automated messaging. Patients who did not attain goal behavior were encouraged to restart active exercise or to increase their dietary efforts. Such patients were encouraged to increase their level of physical activity or to attain a balanced diet by increasing F&V intake or moving to a low-carbohydrate or low-fat diet.

The protocol on the interventional goal, principal strategies, content theme in the educational component, and functions used for delivering interventions at each stage of change are briefly summarized in Table 1.

Table 1.

Protocol of the Web-based self-management exercise and diet intervention program.

Stage of change Interventional goal Principal strategies
(process of change, self-efficacy, decisional balance)
Content theme in the educational component Functions used for delivering interventions
Precontemplation Increase awareness of the need to change exercise and dietary behavior Consciousness-raising
Dramatic relief
Environmental reevaluation
Increase the pros
Effect of exercise and a balanced diet on health
Specific reasons for not considering exercise or use of a balanced diet
Risks associated with a sedentary lifestyle and an unbalanced diet
Weekly Web-based tailored education (5-10 minutes daily).
Contemplation Motivate and increase confidence in the ability to change; build motivation for change Self reevaluation
Increase the pros/decrease the cons
Build self-efficacy
Specific benefits of exercise and use of a balanced diet; barriers toward such achievements
Solutions to overcome the specific barriers to exercise and use of a balanced diet
Contemplation of improved health following exercise and use of a balanced diet
Weekly Web-based tailored education (5-10 minutes daily)
Preparation Develop and negotiate a plan for exercise and use of a balanced diet Self-liberation
Remember the pros
Increase self-efficacy
Recalling the effects of exercise and a balanced diet on health
Individualized exercise and dietary prescription and creation of specific aims of exercise
Keeping and monitoring of a daily exercise and dietary diary
Planning gradual progress in terms of exercise
Exercise planning in line with ACS
Weekly Web-based tailored education (5-10 minutes daily)
Use of an exercise and diet diary
Weekly planning exercise and diet
Action Reaffirm the commitment to exercise and to use of a balanced diet Reinforcement management
Assisting with relationships
Counter-conditioning
Stimulus control
Managing of temptation
Evaluation of current exercise and dietary pattern
Self-reward for regular exercise and use of a balanced diet
Recall of the specific aims or reasons for performing regular exercise and using a balanced diet
Substitution of exercise for sedentary behavior and a balanced diet for one that was unbalanced
Social and/or family support to help maintain exercise and dietary programs
Avoidance of stimuli and other triggers provoking inactivity or use of an unbalanced diet
Individualized exercise and dietary prescription detailing the specific aims of exercise
Keeping and monitoring of a daily exercise and dietary log
Planning gradual progress toward more exercise
Exercise planning in line with ACS
Weekly Web-based tailored education (5-10 minutes daily)
Use of an exercise and diet diary
Weekly planning of exercise and diet
Daily or weekly feedback on progress toward goal attainment
Comparison of the current status and the goal levels of exercise and diet
Maintenance Develop strategies to prevent relapse

System Evaluation

In this phase, experts who had participated in the system design and development were contacted again and asked to advise on problems that arose in terms of usability and content accuracy during system operation. For example, the confusing array of content was rearranged to ensure consistency and relevance. Input speed was improved. The functions (ie, keeping a diary, setting a weekly exercise goal, measuring weekly body weight for a revised diet prescription, measuring the stage of change, SMS-based feedback) that depend on the stage of change and timing were modified to activate at an appropriate stage or timing. Images of various food servings were added and an example of the written 3-day dietary recall report was included. The number of pop-ups (negatively affecting concentration) was reduced. Tasks that were shown as incomplete on the calendar were identified. An SMS alarm was added to inform patients of the weekday on which education would be given. In addition, various bugs and errors were corrected. After iterative testing, the program was modified and installed on a server. Patients could access Health Planner from a home computer using an Internet browser.

The characteristics of end users participating in the usability evaluation are shown in Table 2. The end users rated the program as being easy to understand and use (a total usability score of 81.3 points, Table 3). In addition, program feasibility was evaluated using the percentage of patients (27/30, 90%) who consistently used the program for 12 weeks.

Table 2.

Characteristics of end users participating in the usability evaluation.

Characteristic Participants
N=30
n (%)
Age in year

Mean (SD) 41.5 (6.3)
Educational level

High school 7 (23)

College or beyond 23 (77)
Marital status

Married 27 (90)

Not married 3 (10)
Time elapsed since treatment, days

Mean (SD) 161.6 (107.8)

Range 26–349
Surgery type

Breast-conserving 20 (67)

Mastectomy 10 (33)
Receiving chemotherapy

No 4 (13)

Yes 26 (87)
Receiving radiotherapy

No 3 (10)

Yes 27 (90)
Clinical stage

Stage 0 2 (7)

Stage I 12 (40)

Stage II 13 (43)

Stage III 3 (10)
Table 3.

Usability evaluation of health planner by end user responses.


N=30
Mean (SD)a
Items

1. I thought this program was easy to understand. 5.9 (1.4)

2. I could complete the tasks that were asked of me in this program. 5.7 (1.4)

3. I found this program confusing. 1.5 (1.1)

4. I thought that this program was easy to use. 5.9 (2.0)

5. I would choose to use this type of program in the future to complete an intervention that aims to improve my health. 6.5 (1.5)

6. The program was too complex. 2.2 (1.3)

7. I would need help from a technical support person to be able to use this program. 1.3 (1.8)

8. The program ran smoothly. 6.0 (1.7)

9. The program was inconsistent (there were parts of the program that seemed out of place). 2.0 (1.3)

10. I think that most people would learn to use this program quickly. 5.7 (1.3)

11. Using this program felt awkward to me. 1.9 (1.4)

12. I felt very confident using this program. 6.0 (1.8)

13. I needed to learn a lot of things before I could get going with this program. 2.4 (1.6)
Total Usability Score b 81.3 (20.2)

aResponses were on a 7-point scale, ranging from 1 (strongly disagree) to 7 (strongly agree).

bThis is a composite of the responses to all usability questions (a 100-point score); higher scores indicate greater perceived usability.

Discussion

There is a widely recognized need for interventions to increase healthy behaviors for cancer survivors. However, the effectiveness of traditional interventions remains unclear due to low accessibility and non-persistent feedback. We developed the Web-based self-management exercise and dietary intervention program aiming to increase exercise and improve dietary behavior among cancer survivors. The program has several notable features. Critically, we embraced action planning when considering exercise and dietary behavior. The Web-based self-management exercise and diet intervention program managed day-to-day health behavior via action planning. Practical and specific action planning and scheduling promotes the initiation and maintenance of healthy behavior by identifying and filling intention-behavior gaps [15].

The program provided timely reinforcement via daily delivery of positive automated messages. The tailored feedback-based intervention may provide relief to survivors in that someone (or something) close to the patients is managing their health [38], motivating the patients to achieve and maintain goal behaviors at the recommended levels. Earlier work suggested that maintenance of healthy behavior is greatly assisted by the provision of appropriate feedback on progress toward desired outcomes [14]. The tailored reaction might stimulate self-regulatory behavior through making self-judgments on progress toward desired exercise and diet behavior [39].

The patients’ needs were reflected in the program through interviews with the patients, and the identified user requirements were combined with technologies to implement TTM theory-based functions. Our Web-based self-management program, featuring the use of TTM theory may not only trigger the required behaviors, but may assist in sustaining such long-term behaviors [12,16]. Self-regulation strategies, including diary keeping, an emphasis on goal-setting, and feedback on progress may increase motivation and perceived self-efficacy [33].

A review of previous studies identified the possibility that the TTM could be applied to a Web-based program seeking to encourage healthy behavioral changes. The potential of TTM theory has been recognized in previous studies for application in Web-based physical activity intervention [40], but not for Web-based diet programs. Individual exercise regimens were prescribed using TTM theory, with reference to stages of change, in an interventional Web-based program developed for patients with type 2 diabetes [40]. Program clarity, simplicity, recommendations, accuracy, consistency, and efficiency were rated as acceptable. In another study, a Web-based TTM-based program was developed to promote physical activity in the general female population [41]. The program was a full success, having promoted self-efficacy, physical activity, and exercise. To date, however, no Web-based program aimed at such lifestyle modifications in cancer survivors is yet available.

Previous findings of Web-based lifestyle intervention trials remain controversial. Delivery of theory-based messages via the Web enhanced lifestyle modifications [19,40,42]. However, a Web-based program that apparently failed to trigger lifestyle changes lacked a theoretical basis, had low utilization, and did not suit participants’ needs [43]. This program rated high utilization. It might be due to the strategies of daily feedback and action planning. The diagnosis of cancer also provides a teachable moment when the patients’ motivation for lifestyle change is especially high [44].

In conclusion, a Web-based program targeting change in exercise and dietary behaviors was feasible when TTM theory was used to inform program strategy. The use of Internet technology allowed immediate and easy access to interventions, real-time monitoring of progress, online education, tailored action planning, and tailored SMS using mobile phones [45]. Most healthcare providers in busy clinical settings rarely find time to counsel patients on health management. Given that the number of cancer survivors is increasing, targeting of such high-risk groups can potentially achieve positive and widespread public health outcomes.

Acknowledgments

This work was funded by the National Cancer Center 1010470-2 and 1010470-3 grants. Myung Kyung Lee was with the National Cancer Center at the time the research was conducted.

Abbreviations

ACS

American Cancer Society

BMI

body mass index

F&V

fruits and vegetables

HRQOL

health related quality of life

LEACH

Leadership and Coaching for Health

QOL

quality of life

SMS

short message service

TTM

transtheoretical model

Multimedia Appendix 1

The protocol of the trial.

resprot_v2i1e11_app1.pdf (17.8KB, pdf)

Footnotes

Conflicts of Interest: None declared.

References

  • 1.Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics, 2009. CA Cancer J Clin. 2009;59(4):225–49. doi: 10.3322/caac.20006. http://dx.doi.org/10.3322/caac.20006. [DOI] [PubMed] [Google Scholar]
  • 2.Langstein HN, Norton JA. Mechanisms of cancer cachexia. Hematol Oncol Clin North Am. 1991 Feb;5(1):103–23. [PubMed] [Google Scholar]
  • 3.Jones LW, Demark-Wahnefried W. Diet, exercise, and complementary therapies after primary treatment for cancer. Lancet Oncol. 2006 Dec;7(12):1017–26. doi: 10.1016/S1470-2045(06)70976-7. [DOI] [PubMed] [Google Scholar]
  • 4.Chlebowski RT, Aiello E, McTiernan A. Weight loss in breast cancer patient management. J Clin Oncol. 2002 Feb 15;20(4):1128–43. doi: 10.1200/JCO.2002.20.4.1128. [DOI] [PubMed] [Google Scholar]
  • 5.Herman DR, Ganz PA, Petersen L, Greendale GA. Obesity and cardiovascular risk factors in younger breast cancer survivors: The Cancer and Menopause Study (CAMS) Breast Cancer Res Treat. 2005 Sep;93(1):13–23. doi: 10.1007/s10549-005-2418-9. [DOI] [PubMed] [Google Scholar]
  • 6.Demark-Wahnefried W, Kenyon AJ, Eberle P, Skye A, Kraus WE. Preventing sarcopenic obesity among breast cancer patients who receive adjuvant chemotherapy: results of a feasibility study. Clin Exerc Physiol. 2002 Feb;4(1):44–49. http://europepmc.org/abstract/MED/16946801. [PMC free article] [PubMed] [Google Scholar]
  • 7.Lichtenstein AH, Appel LJ, Brands M, Carnethon M, Daniels S, Franch HA, Franklin B, Kris-Etherton P, Harris WS, Howard B, Karanja N, Lefevre M, Rudel L, Sacks F, Van Horn L, Winston M, Wylie-Rosett J. Diet and lifestyle recommendations revision 2006: a scientific statement from the American Heart Association Nutrition Committee. Circulation. 2006 Jul 4;114(1):82–96. doi: 10.1161/CIRCULATIONAHA.106.176158. http://circ.ahajournals.org/cgi/pmidlookup?view=long&pmid=16785338. [DOI] [PubMed] [Google Scholar]
  • 8.Blanchard CM, Courneya KS, Stein K. Cancer survivors' adherence to lifestyle behavior recommendations and associations with health-related quality of life: results from the American Cancer Society's SCS-II. J Clin Oncol. 2008 May 1;26(13):2198–204. doi: 10.1200/JCO.2007.14.6217. [DOI] [PubMed] [Google Scholar]
  • 9.Courneya KS, Mackey JR, Bell GJ, Jones LW, Field CJ, Fairey AS. Randomized controlled trial of exercise training in postmenopausal breast cancer survivors: cardiopulmonary and quality of life outcomes. J Clin Oncol. 2003 May 1;21(9):1660–8. doi: 10.1200/JCO.2003.04.093. [DOI] [PubMed] [Google Scholar]
  • 10.Ohira T, Schmitz KH, Ahmed RL, Yee D. Effects of weight training on quality of life in recent breast cancer survivors: the Weight Training for Breast Cancer Survivors (WTBS) study. Cancer. 2006 May 1;106(9):2076–83. doi: 10.1002/cncr.21829. http://dx.doi.org/10.1002/cncr.21829. [DOI] [PubMed] [Google Scholar]
  • 11.Pinto BM, Frierson GM, Rabin C, Trunzo JJ, Marcus BH. Home-based physical activity intervention for breast cancer patients. J Clin Oncol. 2005 May 20;23(15):3577–87. doi: 10.1200/JCO.2005.03.080. [DOI] [PubMed] [Google Scholar]
  • 12.Daley AJ, Crank H, Saxton JM, Mutrie N, Coleman R, Roalfe A. Randomized trial of exercise therapy in women treated for breast cancer. J Clin Oncol. 2007 May 1;25(13):1713–21. doi: 10.1200/JCO.2006.09.5083. [DOI] [PubMed] [Google Scholar]
  • 13.Jones LW, Guill B, Keir ST, Carter K, Friedman HS, Bigner DD, Reardon DA. Exercise interest and preferences among patients diagnosed with primary brain cancer. Support Care Cancer. 2007 Jan;15(1):47–55. doi: 10.1007/s00520-006-0096-8. [DOI] [PubMed] [Google Scholar]
  • 14.Frenzel JC, Kee SS, Ensor JE, Riedel BJ, Ruiz JR. Ongoing provision of individual clinician performance data improves practice behavior. Anesth Analg. 2010 Aug;111(2):515–9. doi: 10.1213/ANE.0b013e3181dd5899. http://www.anesthesia-analgesia.org/cgi/pmidlookup?view=long&pmid=20529985. [DOI] [PubMed] [Google Scholar]
  • 15.Conner M, Sandberg T, Norman P. Using action planning to promote exercise behavior. Ann Behav Med. 2010 Aug;40(1):65–76. doi: 10.1007/s12160-010-9190-8. [DOI] [PubMed] [Google Scholar]
  • 16.Frith J, Day CP, Robinson L, Elliott C, Jones DE, Newton JL. Potential strategies to improve uptake of exercise interventions in non-alcoholic fatty liver disease. J Hepatol. 2010 Jan;52(1):112–6. doi: 10.1016/j.jhep.2009.10.010. [DOI] [PubMed] [Google Scholar]
  • 17.Koring M, Richert J, Parschau L, Ernsting A, Lippke S, Schwarzer R. A combined planning and self-efficacy intervention to promote physical activity: a multiple mediation analysis. Psychol Health Med. 2012;17(4):488–98. doi: 10.1080/13548506.2011.608809. [DOI] [PubMed] [Google Scholar]
  • 18.Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983 Jun;51(3):390–5. doi: 10.1037//0022-006x.51.3.390. [DOI] [PubMed] [Google Scholar]
  • 19.Yun YH, Lee KS, Kim YW, Park SY, Lee ES, Noh DY, Kim S, Oh JH, Jung SY, Chung KW, Lee YJ, Jeong SY, Park KJ, Shim YM, Zo JI, Park JW, Kim YA, Shon EJ, Park S. Web-based tailored education program for disease-free cancer survivors with cancer-related fatigue: a randomized controlled trial. J Clin Oncol. 2012 Apr 20;30(12):1296–303. doi: 10.1200/JCO.2011.37.2979. [DOI] [PubMed] [Google Scholar]
  • 20.Yun YH, Lee MK, You A, Shin D, Ko H, Park S. Leadership and Coaching for Health (LEACH) for Disease-free Cancer Survivors: Study Protocol. In print. 2013 [Google Scholar]
  • 21.Laforest J, Bouchard LM. Gouvernement du Quebec. Quebec: Gouvernement du Quebec, Ministeres des Communications; 2009. Guide to organizing semi-structured interviews with key informant. [Google Scholar]
  • 22.Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly. 1989:319–340. doi: 10.2307/249008. [DOI] [Google Scholar]
  • 23.Brooke. J , SUS: A 'QuickDirty' Usability Scale, in Usability Evaluation in Industry, McClelland, I. Editor. 1996;Taylor & Francis Ltd:189–194. [Google Scholar]
  • 24.Doyle C, Kushi LH, Byers T, Courneya KS, Demark-Wahnefried W, Grant B, McTiernan A, Rock CL, Thompson C, Gansler T, Andrews KS. Nutrition and physical activity during and after cancer treatment: an American Cancer Society guide for informed choices. CA Cancer J Clin. 2006;56(6):323–53. doi: 10.3322/canjclin.56.6.323. [DOI] [PubMed] [Google Scholar]
  • 25.Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003 Apr 24;348(17):1625–38. doi: 10.1056/NEJMoa021423. [DOI] [PubMed] [Google Scholar]
  • 26.Kroenke CH, Fung TT, Hu FB, Holmes MD. Dietary patterns and survival after breast cancer diagnosis. J Clin Oncol. 2005 Dec 20;23(36):9295–303. doi: 10.1200/JCO.2005.02.0198. [DOI] [PubMed] [Google Scholar]
  • 27.Rock CL, Demark-Wahnefried W. Nutrition and survival after the diagnosis of breast cancer: a review of the evidence. J Clin Oncol. 2002 Aug 1;20(15):3302–16. doi: 10.1200/JCO.2002.03.008. http://europepmc.org/abstract/MED/12149305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Holtzman J, Schmitz K, Babes G, Kane RL, Duval S, Wilt TJ, MacDonald RM, Rutks I. Effectiveness of behavioral interventions to modify physical activity behaviors in general populations and cancer patients and survivors. Evid Rep Technol Assess (Summ) 2004 Jun;(102):1–8. doi: 10.1037/e439832005-001. http://www.ahrq.gov/downloads/pub/evidence/pdf/pacan/pacan.pdf. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Eighth plenary meeting, Committee A. Third report. WHO; 2004. May 22, [2013-01-23]. Global strategy on diet, physical activity and health http://www.who.int/dietphysicalactivity/strategy/eb11344/strategy_english_web.pdf. [Google Scholar]
  • 30.Lippke S, Wiedemann AU, Ziegelmann JP, Reuter T, Schwarzer R. Self-efficacy moderates the mediation of intentions into behavior via plans. Am J Health Behav. 2009;33(5):521–9. doi: 10.5993/ajhb.33.5.5. [DOI] [PubMed] [Google Scholar]
  • 31.Scholz U, Schwarzer R. Bridging the intention-behaviour gap: Planning, self-efficacy, and action control in the adoption and maintenance of physical exercise. Psychology & Health. 2005;20(2):143–160. doi: 10.1080/08870440512331317670. [DOI] [Google Scholar]
  • 32.Wing RR, Tate DF, Gorin AA, Raynor HA, Fava JL. A self-regulation program for maintenance of weight loss. N Engl J Med. 2006 Oct 12;355(15):1563–71. doi: 10.1056/NEJMoa061883. [DOI] [PubMed] [Google Scholar]
  • 33.Demark-Wahnefried W, Clipp EC, McBride C, Lobach DF, Lipkus I, Peterson B, Clutter Snyder D, Sloane R, Arbanas J, Kraus WE. Design of FRESH START: a randomized trial of exercise and diet among cancer survivors. Med Sci Sports Exerc. 2003 Mar;35(3):415–24. doi: 10.1249/01.MSS.0000053704.28156.0F. [DOI] [PubMed] [Google Scholar]
  • 34.Kim CJ, Hwang AR, Yoo JS. The impact of a stage-matched intervention to promote exercise behavior in participants with type 2 diabetes. Int J Nurs Stud. 2004 Nov;41(8):833–41. doi: 10.1016/j.ijnurstu.2004.03.009. [DOI] [PubMed] [Google Scholar]
  • 35.Kim SH, Shin MS, Lee HS, Lee ES, Ro JS, Kang HS, Kim SW, Lee WH, Kim HS, Kim CJ, Kim J, Yun YH. Randomized pilot test of a simultaneous stage-matched exercise and diet intervention for breast cancer survivors. Oncol Nurs Forum. 2011 Mar;38(2):E97–106. doi: 10.1188/11.ONF.E97-E106. [DOI] [PubMed] [Google Scholar]
  • 36.Thomas S, Reading J, Shephard RJ. Revision of the Physical Activity Readiness Questionnaire (PAR-Q) Can J Sport Sci. 1992 Dec;17(4):338–45. [PubMed] [Google Scholar]
  • 37.Oh KW, Nam CM, Park JH, Yoon JY, Shim JS, Lee KH, Suh I. A Case-Control Study on Dietary Quality and Risk for Coronary Heart Disease in Korean Men. The Korean Journal of Nutrition. 2009;42(6):453–621. doi: 10.4163/kjn.2009.42.5.453. [DOI] [Google Scholar]
  • 38.Ruland CM, Andersen T, Jeneson A, Moore S, Grimsbø GH, Børøsund E, Ellison MC. Effects of an internet support system to assist cancer patients in reducing symptom distress: a randomized controlled trial. Cancer Nurs. 2013 Jan;36(1):6–17. doi: 10.1097/NCC.0b013e31824d90d4. [DOI] [PubMed] [Google Scholar]
  • 39.Bandura A. Human agency in social cognitive theory. Am Psychol. 1989 Sep;44(9):1175–84. doi: 10.1037/0003-066x.44.9.1175. [DOI] [PubMed] [Google Scholar]
  • 40.Kim CJ, Kang DH. Utility of a Web-based intervention for individuals with type 2 diabetes: the impact on physical activity levels and glycemic control. Comput Inform Nurs. 2006;24(6):337–45. doi: 10.1097/00024665-200611000-00008. [DOI] [PubMed] [Google Scholar]
  • 41.Huang SJ, Hung WC, Chang M, Chang J. The effect of an internet-based, stage-matched message intervention on young Taiwanese women's physical activity. J Health Commun. 2009;14(3):210–27. doi: 10.1080/10810730902805788. [DOI] [PubMed] [Google Scholar]
  • 42.Winett RA, Anderson ES, Wojcik JR, Winett SG, Bowden T. Guide to health: nutrition and physical activity outcomes of a group-randomized trial of an Internet-based intervention in churches. Ann Behav Med. 2007 Jun;33(3):251–61. doi: 10.1080/08836610701358045. [DOI] [PubMed] [Google Scholar]
  • 43.Kelders SM, Van Gemert-Pijnen JE, Werkman A, Nijland N, Seydel ER. Effectiveness of a Web-based intervention aimed at healthy dietary and physical activity behavior: a randomized controlled trial about users and usage. J Med Internet Res. 2011;13(2):e32. doi: 10.2196/jmir.1624. http://www.jmir.org/2011/2/e32/ [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Hewitt M, Rowland JH, Yancik R. Cancer survivors in the United States: age, health, and disability. J Gerontol A Biol Sci Med Sci. 2003 Jan;58(1):82–91. doi: 10.1093/gerona/58.1.m82. [DOI] [PubMed] [Google Scholar]
  • 45.Carr LJ, Bartee RT, Dorozynski CM, Broomfield JF, Smith ML, Smith DT. Eight-month follow-up of physical activity and central adiposity: results from an Internet-delivered randomized control trial intervention. J Phys Act Health. 2009 Jul;6(4):444–55. doi: 10.1123/jpah.6.4.444. http://europepmc.org/abstract/MED/19842458. [DOI] [PMC free article] [PubMed] [Google Scholar]

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