Treatment Alternatives for Overweight and Obesity: The Role of Online Interventions

Preferences of Individuals With Obesity for Online Medical Consultation in Different Demand Scenarios: Discrete Choice Experiments

BACKGROUND

Obesity is a unique chronic disease, with China having the largest number of people living with overweight and obesity in the world. There has been little research from the demand perspective for online medical consultation (OMC) by individuals living with obesity. With the growing demand for obesity OMC, especially due to the emergence of new pharmacotherapies, such as glucagon-like peptide-1 receptor agonists, individuals living with obesity are seeking both advice on obesity management and the prescription of obesity drugs. Therefore, our demand scenarios defined 2 OMC motivations to manage obesity: "For-Drugs" use and "For-Advice" use.

OBJECTIVE

This study aims to assess and compare the preferences for For-Drugs and For-Advice OMC among individuals living with obesity in China.

METHODS

Following the International Society for Pharmacoeconomics and Outcomes Research's checklist and comprising 400 participants assigned to the For-Drugs scenario and 400 to the For-Advice scenario, the For-Drugs and For-Advice preferences were estimated through discrete choice experiments. The groups in the 2 scenarios followed a similar distribution, and the 2 different demand scenarios shared the same discrete choice experiment design, comprising 16 choice sets with 6 representative attributes. Mixed logit modeling was used to estimate the willingness to pay and relative importance scores.

RESULTS

Doctors with well-known and general expert titles, versus ordinary doctors; doctors from high-level, provincial, tertiary, and municipal hospitals, versus lower-level county hospitals; less waiting time; and lower OMC fees were preferred in both the For-Drugs and For-Advice scenarios. The differences between the 2 scenarios lay in the consultation format, consultation duration, and the relative importance of consultation duration versus waiting time. The For-Advice group preferred telephone consultations, while the For-Drugs group did not; the For-Drugs group preferred longer consultation duration (β=.029), while the For-Advice group preferred shorter consultation duration (β=-.030); and the For-Drugs group rated consultation duration higher than waiting time, while the For-Advice group rated the waiting time as more important than consultation duration. Combined with our qualitative research, the differences can be explained by the different consultation needs in the 2 scenarios, where longer patient consultations were preferred by the For-Drugs patients who sought detailed advice on drug side effects, while quick and direct responses were preferred by the For-Advice participants.

CONCLUSIONS

By revealing user preferences on costs, doctors' titles and hospital level, wait time, and consultation duration and format, our research informs OMC platforms, OMC regulators, and doctors on market segmentation and service differentiation strategies.

Online medical consultation in China: Demand-side analysis of obese patients' preferences and willingness-to-pay for online obesity consultations

Objective

With obesity a major health concern and call on healthcare resources in China, we explored the preferences and willingness to pay (WTP) for obesity OMC, including the influencing factors behind WTP and preferences.

Method

We recruited 400 obese participants to undertake a discrete choice experiment (DCE) and the contingent value method (CVM) survey. We used CVM to measure obese participants' WTP for one-click services (OCS) and used DCE to estimate obesity participants' preferences and WTP for OMC with different attributes.

Results

Obese participants were willing to pay more than RMB80 on average for OCS, and more than 50% of participants had a WTP over RMB50 and 5% had a WTP over RMB300, reflecting the strong willingness of Chinese obese patients to pay for OMC. Educational background, income, ethnicity, previous OMC experience and accessibility to offline hospitals with different levels impacted WTP. The relative importance score of attributes in descending order was cost, doctors' hospital level, doctors' level, online waiting time, consultation time and consultation form. Obese patients preferred lower cost, doctors from higher-level hospitals, doctors with higher expertise levels, shorter waiting time and consultation duration, and telephone consultation were preferred. 30-min waiting time, 15-min consultation duration and telephone consultation were the most economically efficient set we found.

Conclusion

To maximize health resources, provincial tertiary and municipal hospitals face different paths to developing obesity OMC platforms. We encouraged young doctors to use OMC. OMC regulators should implement consumer protection policies to optimize OMC pricing and address potential 'unfair' pricing.

Controlled trial of an mHealth intervention to promote healthy behaviours in adolescence (TeenPower): Effectiveness analysis

AIM

To evaluate the effectiveness on lifestyle change of an mHealth intervention to promote healthy behaviours in adolescence (TeenPower) and to analyse the predictors of the mHealth intervention effectiveness.

DESIGN

This study is designed as a non-randomized controlled trial with a two-arm structure.

METHODS

Adolescents of 12-16-year old were recruited from three school districts, with access to the Internet and smartphone/tablet devices. The intervention group was invited to engage in the mHealth intervention (TeenPower) for 6 months in addition to a school-based intervention. The control group only followed the school-based intervention. A repeated measures factorial ANOVA was used and the main effectiveness outcome was the lifestyle change measured by the adolescent lifestyle profile.

RESULTS

The outcomes of the mHealth intervention (TeenPower) show a significant effect on nutrition (ƞ² _p  = 0.03, p = .03), positive life perspective (ƞ² _p  = 0.04, p = .01), and global lifestyle (ƞ² _p  = 0.02, p = .05), with a dropout rate of 62.1%. The analysis of the effectiveness predictors of the mHealth intervention suggested that older adolescents tended to show a significant increase in the rates of stress management (r = .40; p < .05).

CONCLUSIONS

Although the considerable dropout rate, the mHealth intervention presented significant impact on multiple lifestyle domains, providing support for the effectiveness of mHealth interventions for health promotion as an add-on to standard interdisciplinary interventions.

IMPACT

Adolescents must have the necessary and appropriate knowledge for the correct and responsible decision-making regarding their health and lifestyle. Innovative strategies (mHealth intervention) were used to promote healthy behaviours. This study evaluates the effectiveness of an mHealth intervention (TeenPower) specifically designed for adolescents. We found a significant impact in several lifestyle domains such as health responsibility, nutrition, positive life perspective, and global lifestyle.

Association between treatment adherence and quality of life among overweight adolescents

Overweight is an extra burden for adolescent development and can trigger severe physical and psychosocial problems. This cross-sectional correlational study aimed to analyze the association between treatment adherence and obesity-related quality of life among overweight adolescents. The sample consisted of 94 adolescents attending a specialized Pediatric Obesity Clinic in Portugal, 48.94% of whom were boys and 51.06% girls, with a median age of 14.17 years (SD = 1.51). A positive correlation was found between obesity-related quality of life and adherence to weight control. The influence of parents and caregivers on the adherence to weight control is significantly associated with increased physical comfort, better social life and family relations. These results highlight the importance of behavioral change and adherence to weight control as pillars of a better quality of life among overweight adolescents. Obesity management programs need to focus on multiple criteria of treatment effectiveness, such as obesity-related quality of life.

Effectiveness analysis of an internet-based intervention for overweight adolescents: next steps for researchers and clinicians

BACKGROUNDS

The development of effective strategies for the management of overweight in adolescence is a well recognized need. The current study investigates the effectiveness of an e-therapeutic platform (Next.Step) which aims to promote weight management skills and the adoption of health-promoting behaviours among overweight adolescents.

METHODS

We conducted a randomized clinical trial with a sample of 80 adolescents. The control group followed the standard intervention. The experimental group was invited to access the platform during 12 weeks in addition to the standard intervention.

RESULTS

Although there was no change in the primary outcomes (body mass index and percentage of fat mass), the results suggest that the program is associated with an improvement in the 'positive perspective of life' and 'benefits perceived from the intervention', which have been identified as relevant factors for an effective weight management.

CONCLUSIONS

Our findings provide little support for the effectiveness of internet-based weight management programs as an add-on to the standard intervention.

TRIAL REGISTRATION

NCT01904474.

Changes of dietary patterns during participation in a web-based weight-reduction programme

Objective

To examine the weight-loss success associated with distinct dietary patterns and to determine changes of these dietary patterns during participation in a web-based weight-reduction programme.

Design

Factor analysis was used to identify the dietary patterns of twenty-two food groups that were administered in 14 d dietary protocols at baseline and after 3 months. Successful weight loss (≥5 % of initial weight) and BMI were calculated. Logistic regression analyses were used to assess the rates of weight-loss success from each dietary pattern and changing or remaining in the initial dietary pattern. A generalised linear mixed model was used to estimate the effects of changing or staying in a dietary pattern on change in BMI.

Subjects

Adults (n 1635) aged 18–81 years.

Setting

Users of a web-based weight-reduction programme (2006–2012).

Results

Participants who aligned to a healthful dietary pattern at baseline (OR=1·8; 95 % CI 1·5, 2·3) and after 3 months (OR=1·5; 95 % CI 1·2, 1·9) had a greater chance of successfully losing weight. After adjusting for age, sex, initial dietary pattern and BMI, participants who started with or changed to the healthful dietary pattern had a greater chance of being successful (OR=1·4; 95 % CI 1·1, 1·7) and a higher BMI reduction of 0·30 (95 % CI 0·2, 0·5) kg/m2 compared with those who started with or changed to the energy-dense or high-carbohydrate dietary pattern.

Conclusions

A favourable healthful dietary pattern at the beginning and after 3 months was positively associated with anthropometry. However, successful weight loss was feasible in each dietary pattern.

Controlled trial of an Internet-based intervention for overweight teens (Next.Step): effectiveness analysis

Adolescent obesity is a major health problem. The need for effective adolescent weight management programs is of high clinical and public health relevance. This study evaluates the effectiveness of an e-therapeutic platform (Next.Step), aiming to promote weight management skills and the adoption of health-promoting lifestyles. This nonrandomized clinical trial with control group uses a sample of 94 adolescents who attended a paediatric obesity clinic. The experimental group was invited to access the platform Next.Step during 24 weeks, in addition to the standard treatment program. The control group followed the standard treatment protocol and joined a waiting list. Overall, the outcomes of the e-therapeutic program were not substantially better than those obtained with a traditional kind of intervention despite the intervention being associated with an improved health responsibility score (d = 0.51; p = 0.014). Several predictors of the Next.Step effectiveness were found.

CONCLUSION

Although the e-therapeutic program led to a significant increase in health responsibility, inconclusive results were found regarding the program effectiveness compared to the standard multidisciplinary intervention. The lack of significant differences between groups may be due to the reduced rates of program adherence and the high dropout rate.

WHAT IS KNOWN

• Adolescent obesity has reached epidemic proportions, and standard treatment programs have been unable to achieve the desired adherence so far. • Internet-based programs have already shown positive results in the adult obese population, but information is scarce regarding adolescents.

WHAT IS NEW

• This study assesses the effectiveness of a structured case management program including communication technologies on both the behavioural change and the health of obese adolescents. • The e-therapeutic program led to an increase in health responsibility.

Internet-based intervention programme for obese adolescents and their families (Next.Step): research protocol of a controlled trial

AIM

This paper describes the design and rationale of a controlled trial that aims to determine the effectiveness of an intervention programme in which the internet is used.

BACKGROUND

Adolescent obesity is a major health problem, there being urgency to find effective interventions that induce behavioural change. The inclusion of the internet in the intervention may improve adolescents' adherence to the weight management programme and lead to adoption of healthier lifestyles.

DESIGN

A clinical trial with a control group (non-randomized).

METHODS

Participants are adolescents with appointments at a paediatric obesity clinic (Portugal). Sample size was calculated according to the power analysis. The experimental group will follow the standard treatment protocol and receive free access to the e-therapeutic platform. The control group will follow the standard treatment protocol and join a waiting list. Intervention length will be 36 weeks (24 weeks of direct intervention with a follow-up for 12 weeks). This study was approved by the Ethical Committee for Health (Lisbon, Portugal) in January 2012 and funded by the Foundation for Science and Technology (Portugal) in December 2012.

DISCUSSION

The results of this research will promote reflection on new approaches directed to treat adolescent obesity and on the promotion of healthy behaviours. We expect to gather empirical evidence of the intervention programme effectiveness. The expectations lie on the population health gains, empowerment in decision-making and adoption of healthier lifestyles.

The effect of computers for weight loss: a systematic review and meta-analysis of randomized trials

BACKGROUND

The use of computers to deliver education and support strategies has been shown to be effective in a variety of conditions. We conducted a systematic review and meta-analysis to evaluate the impact of computer-based technology on interventions for reducing weight.

METHODS

We searched MEDLINE, CENTRAL, CINAHL, PsycINFO, Google Scholar and ClinicalTrials.gov (all updated through June 2010) for randomized controlled trials evaluating the effect of computer-based technology on education or support interventions aimed at reducing weight in overweight or obese adults. We calculated weighted mean differences (WMD) and 95% confidence intervals (CI) using random effects models.

RESULTS

Eleven trials with 13 comparisons met inclusion criteria. Based on six comparisons, subjects who received a computer-based intervention as an addition to the standard intervention given to both groups lost significantly more weight (WMD -1.48 kg, 95% CI -2.52, -0.43). Conversely, based on six comparisons, subjects for whom computer-based technology was substituted to deliver an identical or highly comparable intervention to that of the control group lost significantly less weight (WMD 1.47 kg, 95% CI 0.13, 2.81). Significantly different weight loss seen in "addition" comparisons with less than six months of follow-up (WMD -1.95 kg, 95% CI -3.50, -0.40, two comparisons) was not seen in comparisons with longer follow-up (-1.08 kg, 95% CI -2.50, 0.34, four comparisons). Analyses based on quality and publication date did not substantially differ.

CONCLUSIONS

While the addition of computer-based technology to weight loss interventions led to statistically greater weight loss, the magnitude (<1.5 kg) was small and unsustained.