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Usability of an internet-based platform (Next.Step) for adolescent weight management Please cite this article as: Sousa P, Fonseca H, Gaspar P, Gaspar F. Usability of an internet-based platform (Next.Step) for adolescent weight management. J Pediatr (Rio J). 2015;91:68-74.

Abstracts

OBJECTIVE:

The current study evaluates the usability perception of an e-therapeutic platform (supported by electronic processes and communication), aiming to promote the behavior change and to improve the adolescent health status through increased and interactive contact between the adolescent and the clinical staff.

METHODS:

This was a correlational study with a sample of 48 adolescents (12-18 years) who attended a Pediatric Obesity Clinic between January and August of 2012. Participants were invited to access, during 24 weeks, the e-therapeutic multidisciplinary platform (Next.Step) in addition to the standard treatment program. A usability questionnaire was administered and the platform performance and utilization indicators were analyzed.

RESULTS:

The users' perception of satisfaction, efficiency, and effectiveness regarding the Next.Step platform was clearly positive. However, only 54.17% of the enrolled adolescents accessed the platform, with a mean task-completion rate of 14.55% (SD = 18.853). The higher the number of the platform consulted resources, the greater the tendency to enjoy the platform, to consider it exciting and quick, to consider that the time spent in it was useful, to consider the access to information easy, and to login easier. Post-intervention assessment revealed a significant reduction in anthropometric and behavioral variables, including body mass index z-score, waist circumference percentile, hip circumference, and weekly screen time.

CONCLUSION:

These results highlight the importance of information and communication technologies in the health information access and the healthcare provision. Despite the limited adherence rate, platform users expressed a positive overall perception of its usability and presented a positive anthropometric and behavioral progress.

Usability; Internet-based; Platform; Adolescents; Overweight; Weight management


OBJETIVO:

O estudo atual avalia a percepção de usabilidade de uma plataforma e-terapêutica (apoiada por processos e comunicação eletrônicos), com vistas a promover a mudança comportamental e melhorar o estado de saúde dos adolescentes por meio do contato aumentado e interativo entre o adolescente e a equipe clínica.

MÉTODOS:

Estudo correlacional com uma amostra de 48 adolescentes (12-18 anos) que frequentaram uma clínica de obesidade infantil entre janeiro e agosto de 2012. Os participantes foram convidados a aceder, durante 24 semanas, à plataforma multidisciplinar e-terapêutica (Next.Step) e, além disso, a participar do programa de tratamento padrão. Um questionário de usabilidade foi administrado e foram analisados os indicadores de desempenho e uso da plataforma.

RESULTADOS:

A percepção de satisfação, eficiência e eficácia dos usuários com relação à plataforma Next.Step foi claramente positiva. Contudo, apenas 54,17% dos adolescentes inscritos acederam à plataforma, com uma taxa média de conclusão das tarefas de 14,55% (DP = 18,853). Quando maior o número de recursos consultados na plataforma, maior a tendência de gostar da plataforma e considerá-la excitante e rápida, pois o tempo gasto nela é útil e o acesso a informações e ao registro é mais fácil. A avaliação pós-intervenção mostrou uma redução significativa nas variáveis antropométricas e comportamentais, inclusive no z-score do Índice de Massa Corporal, no percentil de circunferência da cintura, na circunferência do quadril e no tempo de tela semanal.

CONCLUSÃO:

Esses resultados destacam a importância das tecnologias de informação e comunicação no acesso a informações sobre saúde e prestação de cuidados. Apesar da limitada taxa de adesão, os usuários da plataforma expressaram uma percepção geral positiva de sua usabilidade e apresentaram um progresso antropométrico e comportamental positivo.

Usabilidade; Na internet; Plataforma; Adolescentes; Sobrepeso; Controle de peso


Introduction

Healthcare is experiencing a cultural transformation, challenging physicians to change from a provider to a patient-centered healthcare model perspective. This switch is made possible by the evolution of information systems in the field of health sciences and empowered by the e-health approach (healthcare practice supported by electronic processes and communication), which contributes to a more efficient, accessible, and affordable healthcare model.11. Tan J. E-Health: the next health care frontier. In: Tan J, editor. E-Health Care information systems: an introduction for students and professionals. San Francisco: Jossey-Bass; 2005. p. 3-27. Therefore, internet plays an important role in this healthcare paradigm change, with patients becoming empowered e-consumers (consumers of electronic processes and communication).

There has been a growing use of technologies regarding the search for health information.22. Andreassen HK, Bujnowska-Fedak MM, Chronaki CE, Dumitru RC, Pudule I, Santana S, et al. European citizens' use of ehealth services: a study of seven countries. BMC Public Health. 2007;7:53. and 33. Lauterbach C. Exploring the usability of e-health websites. Usability News. 2010:12 [cited 15 Dec 2013]. Available from: http://psychology.wichita.edu/surl/usabilitynews/122/ehealth.asp.
http://psychology.wichita.edu/surl/usabi...
One of the benefits of e-health interventions is its flexibility, which may facilitate the provision of tailored messages based on the users' specific cultural and individual contexts. The interactive nature of e-health applications can further enhance learning and behavioral change.44. Mackert M, Kahlor L, Tyler D, Gustafson J. Designing e-health interventions for low-health-literate culturally diverse parents: addressing the obesity epidemic. Telemed J E Health. 2009;15:672-7.

A systematic review on the effectiveness of information and communication technology (ICT) in the treatment of obese children and adolescents in the United States reported that 75% of the online intervention programs yielded clinical and statistical significant results. These results underscore the effectiveness evidence in reducing body mass index (BMI) and fat intake and in increasing physical activity.55. An JY, Hayman LL, Park YS, Dusaj TK, Ayres CG. Web-based weight management programs for children and adolescents: asystematic review of randomized controlled trial studies. ANS Adv Nurs Sci. 2009;32:222-40.

Interactive technologies offer new opportunities to provide tailored health information. However, usability should be the main goal of an interactive product, so that it can be employed for its intended purpose. Increased usability brings significant benefits: increased efficiency, improved productivity, reduced errors, less need for training, and better acceptance.66. Bevan N. European usability support centres: support for a more usable information society. In: European Telematics: advancing the information society. Proceedings of TAP Annual Concertation Meeting. 1998. p. 50-65. Considering usability as a dynamic process, its assessment is dependent on how it is defined.

There are different approaches regarding to the usability indicators; Hix & Hartson,77. Hix D, Hartson H. Developing user interfaces: ensuring usability through product and process. New York: John Wiley & Sons; 1993. whose vision was adopted by the International Organization for Standardization (ISO) 9241-11,88. International Organization for Standardization (ISO) 9241-11. Ergonomic requirements for office work with visual display terminals (VDTs). Part 11. In: Guidance on usability. Geneva: Draft International Standard ISO; 1997. defines usability as the extent to which a product can be used by specified users to achieve specified goals with effectiveness (meaning both the ability of completing tasks through the system and the quality of the achieved results), efficiency (level of resources consumed in performing tasks), and satisfaction (subjective reactions of users based on the use of the system) in a specified context of use.

There are still relatively few contributions on the usability of e-health systems specifically designed to promote healthy behaviors and weight reduction. One of them is the study of Shaikh et al.,99. Shaikh A, Baker J, Russell M. What's the skinny on weight loss websites? Usability News. 2004:6 [cited 15 Dec 2013]. Available from: http://usabilitynews.org/whats-the-skinny-onweight-loss-websites.
http://usabilitynews.org/whats-the-skinn...
which evaluated the usability of three websites dedicated to weight loss, making a comparative analysis of its features and performance. Tsai et al.1010. Tsai CC, Lee G, Raab F, Norman GJ, Sohn T, Griswold WG, et al. Usability and feasibility of PmEB: a mobile phone application for monitoring real time caloric balance. Mobile Network Appl. 2007;12:173-84. also studied the usability of mobile phones as tools for monitoring nutrition and exercise in real time. Compared to paper recording, they found that mobile users reported equal or higher usability rates.

The current study evaluated the usability (satisfaction, efficiency, and effectiveness perceptions) of an e-therapeutic platform (Next.Step), which aims to promote the behavior change and to improve the adolescent health status through increased and interactive contact between the adolescent and the clinical staff.

Methods

Sample

Participants were adolescents followed at a hospital-based Pediatric Obesity Clinic, fulfilling the following inclusion criteria: aged between 12 and 18 years, BMI percentile ≥ 85th, and with internet access at least once a week. Sample recruitment had the support of the clinical staff. All eligible adolescents with appointments between January and August of 2012 were invited to participate in the program.

Participants followed the standard treatment protocol and, additionally, received free access to the e-therapeutic platform (Next.Step) for 24 weeks. They were divided into two subgroups, depending on the study enrolment order: group A (n = 23) and group B (n = 25). Group A began the intervention in May 2012 and Group B in October 2012, aiming to reduce the adolescents' waiting period to start the program. However, the procedure was identical in both groups, namely the treatment length, methods, content/resources, and functionalities. The case manager and the clinical team were the same in both groups.

Procedures

This study was approved by the Ethical Committee for Health (Lisbon, Portugal) and funded by the Foundation for Science and Technology (PTDC/DTP-PIC/0769/2012). All eligible adolescents and respective parents signed an informed consent where the study objectives were explained, following the ethical aspects of confidentiality and voluntary participation.

Data analysis

Descriptive and inferential statistics were applied (paired and independent tests), considering the study aims and variables. Nonparametric tests (Spearman's correlation, Mann-Whitney's U test, and Kruskal-Wallis test) were used in inferential statistics, due to the reduced number of valid responses in several indicators. All analyses were conducted using bilateral tests and alphas of 0.05. For this purpose, was used the software SPSS, version 22.0 (IBM Corp, NY, USA).

Measures

Survey methods and platform functioning have been previously described in detail elsewhere,1111. Sousa P, Fonseca H, Gaspar P, Gaspar F. Internet-based intervention programme for obese adolescents and their families (Next.Step): research protocol of a controlled trial. J Adv Nurs. 2014;70:904-14. as this study is part of an ongoing longitudinal research. Data were collected through different sources, namely: a) the clinical file (demographics, anthropometric, behavioral, and clinical variables); b) the Next.Step e-therapeutic platform (utilization rate, number of logins, consulted resources, self-monitoring data, game scores, and participation in forums); c) a self-report instrument (Next.Step Usability Questionnaire [NSUQ]).

BMI assessment. Anthropometric data were measured by trained health professionals from the clinic. Adolescents were classified into overweight and obese according to BMI cut-offs endorsed by the Centers of Disease Control and Prevention (CDC). 1212. Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R, et al. CDC growth charts: United States. Adv Data. 2000;314:1-27. For assessing platform effectiveness, the World Health Organization (WHO) BMI charts 1313. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660-7. were used in addition to those from CDC, to enable comparison of results with studies using both approaches.

Usability assessment. NSUQ included a user profile evaluation section (internet access, amount of internet daily use, computer availability) and a second section regarding the evaluation of the usability perception (27 independent items, scored 1-5; the higher the index, the better the usability). The questionnaire was available on the platform. Warning emails with direct links to the instrument were periodically sent in order to reduce dropout. 1414. Christensen H, Griffiths KM, Farrer L. Adherence in internet interventions for anxiety and depression. J Med Internet Res. 2009;11:e13.

Next.Step platform. Participants were invited to get restricted access to the e-therapeutic platform (Next.Step). In addition to the platform manager (nurse), the program also had the direct support of an interdisciplinary team (including a pediatrician, nutritionist, exercise physiologist, and psychologist) who intervened when requested by the case manager. Intervention length was 24 weeks, based on a case management methodology.

The program was structured in ten thematic modules, with an average duration of two weeks. A fictional story has been created, developed in eight episodes. The story tells the life events of a fictional character who fights against the stigma of obesity and who decides to embark in a quest which will finally lead to a healthier and happier life, inspired by the magical book (the 'Next.Step'). This is the motto for the platform, where the participant can explore five key areas: 'Magical Book' (where he will find the tasks/missions for each level, discussion forums, and the Next.Step episodes); 'Enchanted Chest' (area reserved for resources such as entertainment, games, quizzes, and competitions); 'Lost Pages' (virtual repository of educational resources on health, glossaries, multimedia library, and thematic stories); 'Secrets' (self-monitoring tools area, personal diary, therapeutic goals definition, and questionnaires); and 'Help' (where the platform credits are presented, technical support provided, and the virtual clinic of Next.Step can be found). Full presentation of the platform features can be found in detail elsewhere.1111. Sousa P, Fonseca H, Gaspar P, Gaspar F. Internet-based intervention programme for obese adolescents and their families (Next.Step): research protocol of a controlled trial. J Adv Nurs. 2014;70:904-14.

Results

Participants' characteristics

Participants were adolescents. According to the CDC criteria,1212. Kuczmarski RJ, Ogden CL, Grummer-Strawn LM, Flegal KM, Guo SS, Wei R, et al. CDC growth charts: United States. Adv Data. 2000;314:1-27. 11.70% of the adolescents were overweight and 88.30% obese. As shown in Table 1, the mean BMI z-score according to WHO criteria was 2.661 (SD = 0.721). Participants were divided into two groups, and their homogeneity and equivalence was assessed by comparing the demographic, anthropometric, behavioral, clinical, socioeconomic, and ICT access variables (p > .05).

Table 1
Variation of clinical outcomes at 24 weeks (Wilcoxon Signed Ranks test).

Satisfaction assessment (usability)

The assessment of Next.Step participants' satisfaction is a crucial step in the evaluation of its usability. Table 2 presents the descriptive results of the NSUQ items regarding satisfaction perception. All items had an average score higher than three (between 3.250 and 3.875), reflecting a clearly positive perception of satisfaction.

Table 2
Descriptive statistics of Next.Step Usability Questionnaire (NSUQ) items and Spearman correlation with the number of Next.Step consulted resources.

The correlation between the satisfaction perception and the Next.Step utilization was further analyzed, and it was observed that the higher the number of consulted resources, the greater the tendency to enjoy the platform (rs = 0.593, p = 0.025), consider it exciting (rs = 0.581, p = 0.029) and fast (rs = 0.743, p = 0.004), and consider the time spent in Next.Step useful (rs = 0.668, p = 0.017).

Efficiency assessment (usability)

The second dimension of Next.Step usability refers to the efficiency indicators. The overall results of the recorded activity in Next.Step during the intervention period were analyzed. There was a greater number of participations in the "Magic Book" and "Secrets" areas, especially in the forums (2,117 views), in the wall of fame/score (388 views), and in the self-monitoring tools (328 views). The resources with lower participation were the platform games (92 views). Participants' adherence decreased over time, with a slight increase in the third and fifth months.

Table 3 shows the descriptive results of the Next.Step efficiency indicators, regarding the recorded activity and the participants' scores. Only 26 out of the 48 adolescents assigned to the study accessed Next.Step (54.17%), and only 23 consulted at least one feature of the platform (47.92%). Among the active participants, the average number of logins during the six months was 10.538 (SD = 18.552). The passive participation in forums had an average of 33.455 (SD = 47.032) views. The mean task-completion rate was 14.55% (SD = 18.853). The mean overall Next.Step score per participant was 63.305 (SD = 100.588).

Table 3
Descriptive statistics of Next.Step efficiency indicators, regarding the recorded activity and the participants' scores.

The analysis of the descriptive results of the items related to NSUQ efficiency perception. The average score was higher than 3 (between 3.571 and 4.125), reflecting a very positive perception of efficiency (Table 2). The correlation analysis between the efficiency perception and the Next.Step utilization demonstrated that the higher the number of consulted resources, the greater the tendency to consider the access to information easier (rs = 0.547, p = 0.043), easier to login (rs = 0.773, p = 0.002), and easier to access the platform (rs = 0.618, p = 0.024).

Effectiveness assessment (usability)

The effectiveness assessment is a key aspect of platform usability. Next.Step provides its users a self-monitoring tool for weight, nutrition and physical activity but this tool was only used by eight adolescents, registering an average variation (final evaluation - baseline) of -1.684 kg (SD = 2.372) in weight,.250 (SD = 0.528) in nutrition and.450 (SD = 0.691) in physical activity. Despite this favorable trend in all these three parameters, the Wilcoxon signed ranks test showed that the differences were not statistically significant (p > 0.05).

The users' perception of effectiveness was assessed through six NSUQ items (Table 2). Only the item 23 (Motivation to discuss/share with platform peers) had an average score smaller than 3 (2.786 ± 1.251), with all the other items rating above (3.143 to 4.125), showing a positive perception of the platform effectiveness. Correlating these items with the number of consulted resources, it appears that the greater the use of the platform, the greater the tendency to consider the information pertinent to treatment (rs = 0.773, p = 0.002).

At the end of the trial period (24 weeks), all participants underwent an objective re-assessment of anthropometric and behavioral variables. A significant reduction (p < 0.05) in the BMI z-score, waist circumference percentile, hip circumference, and weekly screen time was observed, as demonstrated in Table 1.

Discussion

The current study sought to evaluate the usability of the Next.Step platform through the users' perception, as well as to analyze the platform performance and utilization indicators.

The users' perception of satisfaction with the Next.Step was clearly positive. As expected, the higher the number of consulted resources, the greater the tendency to enjoy the platform, to consider it exciting and fast, and to consider that the time spent in Next.Step was useful. These findings are consistent with the ISO/IEC 9126-1 and previous studies, where it is clearly stated that online system users' satisfaction is crucial to its success and to increase adherence to these tools.1515. International Organization for Standardization (ISO) 9126-1. Software engineering: product quality. Part 1. In: Quality model. Geneva: Draft International Standard ISO; 2000. , 1616. Portugal. Ministério da Saúde. Direcção-Geral da Saúde. Plano nacional de saúde 2004-2010: mais saúde para todos. Lisboa: Direcção-Geral da Saúde; 2004. , 1717. Carvalho AA. Avaliar a usabilidade da plataforma FLEXML: descrição dos testes realizados com utilizadores. In: Barrientos X, editor. Congreso Iberoamericano de Informática Educativa: Actas do Congreso Iberoamericano de Informática Educativa. Monterrey: Universidad de Monterrey; 2004. p. 197-206. and 1818. Brooke J. SUS: a ''quick and dirty'' usability scale. In: Jordan PW, Thomas B, Weerdmeester BA, McClelland AL, editors. Usability evaluation in industry. London: Taylor and Francis; 1996. p. 189-94. Currently there is a growing concern with the user satisfaction and the quality of the interfaces between the different health services actors (both health professionals and patients).

The second usability domain analyzed was the efficiency. In this context, it should be noted that the Next.Step participants' adherence decreased over time, with a slight increase in the third and fifth month. However, it should be noted that it was not possible to record the activity on external resources linked to the platform, as some videos, games, and online tools. Only 54.17% of the adolescents assigned to the study accessed the Next.Step. The high dropout rates of adolescents in online learning environments (e-learning) had already been identified by Nistor & Neubauer.1919. Nistor N, Neubauer K. From participation to dropout: quantitative participation patterns in online university courses. Comput Educ. 2010;55:663-72. Christensen et al.1414. Christensen H, Griffiths KM, Farrer L. Adherence in internet interventions for anxiety and depression. J Med Internet Res. 2009;11:e13. also reported that the high dropout rates are a common feature of online clinical trials, reaching 50%. It is noteworthy that the Next.Step adolescent participants are severely overweight, low motivated and, in most cases, with a clinical history with several weight loss failed attempts since an early age. These may be some of the reasons that contributed to the high dropout rate.

The efficiency perception was very positive; the higher the number of consulted resources, the higher the tendency of the participants to consider the platform easier to access. The development of more efficient communication channels between the individual and the health professionals has been underlined by different authors,2020. High Commissioner of Health. Plano Nacional de Saúde 2011-2016: Tecnologias de Informação e Comunicação, 2010. [cited 15 Dec 2013]. Available from: http://pns.dgs.pt/files/2010/07/TIC1.pdf
http://pns.dgs.pt/files/2010/07/TIC1.pdf...
and it is an important requisite for a more active role in one's own healthcare. The growing dissemination of ICT may contribute to raising the population health standards through a more effective provision of care. For Garrido et al.,2121. Garrido MV, Kristensen FB, Nielsen CP, Busse R. Health technology assessment and health policy-making in Europe: current status, challenges and potential. Copenhagen: World Health Organization, on behalf of the European Observatory on Health Systems and Policies; 2008. healthcare has benefited from the constant developments and technological innovations in life sciences. Due to a widespread ICT access, health information can be perceived as a gain in healthcare autonomy.

The third usability domain under analysis was effectiveness perception, namely the users' ability to complete the tasks through the system and the quality of the results.77. Hix D, Hartson H. Developing user interfaces: ensuring usability through product and process. New York: John Wiley & Sons; 1993. The available weight, nutrition, and physical activity self-monitoring tool was only used by eight teenagers, who presented a clearly positive but not statistically significant progress. This non-significance may be due to the reduced number of valid answers.

The users' perception regarding the platform effectiveness was in general positive, with the exception of the item on the motivation to discuss/share with platform peers. A possible explanation for this result might be that overweight adolescents, even "protected" by the anonymity provided by the virtual environment, still present limited interaction with their peers on sensitive topics. Despite these constraints, in the authors' opinion, peer support is one of the features of the Next.Step platform with greater potential. Peer support has been considered by multiple authors2222. Lobstein T, Baur L, Uauy R. IASO International Obesity TaskForce. Obesity in children and young people: a crisis in public health Obes Rev. 2004;5:4-104. , 2323. Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O'Malley C, Stolk RP, et al. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009;(1):CD001872. and 2424. Smith AL. Peer relationships in physical activity contexts: a road less traveled in youth sport and exercise psychology research. Psychol Sport Exerc. 2003;4:25-39. as crucial in intervention programs for obese adolescents.

It was also found that the greater the use of the platform, the greater the tendency to consider the information pertinent to the treatment. These data are in agreement with the conclusions of Lauterbach,33. Lauterbach C. Exploring the usability of e-health websites. Usability News. 2010:12 [cited 15 Dec 2013]. Available from: http://psychology.wichita.edu/surl/usabilitynews/122/ehealth.asp.
http://psychology.wichita.edu/surl/usabi...
who found that 57% of individuals seeking health information on the internet consider that e-health information influences their treatment options. He underlines that this does not mean that physicians are being replaced. In fact, 53% of the subjects believe that their Internet research led them to request more information from their physician or even make an appointment. In the same direction, Andreassen et al.22. Andreassen HK, Bujnowska-Fedak MM, Chronaki CE, Dumitru RC, Pudule I, Santana S, et al. European citizens' use of ehealth services: a study of seven countries. BMC Public Health. 2007;7:53. found that the use of e-health information appears to complement and not replace other health services.

One of the most important findings of this study was the significant reduction in some objective anthropometric and behavioral parameters, such as BMI z-score, waist circumference percentile, hip circumference, and weekly screen time. These results are in line with recent systematic reviews on e-health interventions for prevention/treatment of overweight children/adolescents.55. An JY, Hayman LL, Park YS, Dusaj TK, Ayres CG. Web-based weight management programs for children and adolescents: asystematic review of randomized controlled trial studies. ANS Adv Nurs Sci. 2009;32:222-40. and 2525. Nguyen B, Kornman KP, Baur LA. A review of electronic interventions for prevention and treatment of overweight and obesity in young people. Obes Rev. 2011;12:e298-314.

The e-therapy was employed as an add-on and not as a substitute to the standard face-to-face intervention with the healthcare professional, based on the meta-analysis of Reed et al.,2626. Reed VA, Schifferdecker KE, Rezaee ME, O'Connor S, Larson RJ. The effect of computers for weight loss: a systematic review and meta-analysis of randomized trials. J Gen Intern Med. 2012;27:99-108. where they presented very relevant findings: individuals who received the intervention as a complement to the standard intervention lost significantly more weight than those for whom the intervention has been a substitute. For Baulch et al.,2727. Baulch J, Chester A, Brennan L. Adolescent and parent content preferences and predictors of intention to use an online healthy weight website for adolescents. E J Appl Psychol. 2010;6:18-26. although the face-to-face modalities may be preferred, the high prevalence rates of obesity2828. Flores LS, Gaya AR, Petersen RD, Gaya A. Trends of underweight, overweight, and obesity in Brazilian children and adolescents. J Pediatr (Rio J). 2013;89:456-61. suggest the urgency of expanding the treatment options and reducing the associated costs. For all these authors, the internet constitutes an innovative and effective alternative or complement to the face-to-face programs.2929. Chang B. The electronic health record: a new form of interaction. In: Ball MJ, Weaver CA, Kiel JM, editors. Healthcare information management systems: cases, strategies, and solutions. New York: Springer; 2004. p. 282-96.

The usability assessment is essential, although as consequence of the distinct/specific contexts, it is difficult to make comparisons between the different systems, and potentially misleading to generalize design features. The only exception may lay in the area of subjective usability, usually assed using questionnaires and attitude scales.1818. Brooke J. SUS: a ''quick and dirty'' usability scale. In: Jordan PW, Thomas B, Weerdmeester BA, McClelland AL, editors. Usability evaluation in industry. London: Taylor and Francis; 1996. p. 189-94.

Future research should focus on additional strategies to increase participants' adherence and alternative recruitments methods.3030. Raynor HA, Osterholt KM, Hart CN, Jelalian E, Vivier P, Wing RR. Evaluation of active and passive recruitment methods used in randomized controlled trials targeting pediatric obesity. Int J Pediatr Obes. 2009;4:224-32.

Acknowledgements

This work was funded by Fundação para a Ciência e a Tecnologia (PTDC/DTP-PIC/0769/2012) and supported by the Polytechnic Institute of Leiria, Portugal and the Department of Pediatrics at Hospital de Santa Maria, Lisbon, Portugal. [Sugiro excluir, informação já dada na seção "Funding"] The authors gratefully acknowledge the clinical staff of the Pediatric Obesity Clinic and the "Unidade de Ensino à Distância" for their dedication. They would also like to thank all the adolescents and parents for their participation and collaboration.

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  • Funding This work was funded by Fundação para a Ciência e a Tecnologia (PTDC/DTP-PIC/0769/2012) and supported by the Polytechnic Institute of Leiria, Portugal and by the Department of Pediatrics at Hospital de Santa Maria, Lisbon, Portugal.
  • Please cite this article as: Sousa P, Fonseca H, Gaspar P, Gaspar F. Usability of an internet-based platform (Next.Step) for adolescent weight management. J Pediatr (Rio J). 2015;91:68-74.

Publication Dates

  • Publication in this collection
    Jan-Feb 2015

History

  • Received
    11 Feb 2014
  • Accepted
    13 May 2014
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