Pediatric Weight Management Through mHealth Compared to Face-to-Face Care: Cost Analysis of a Randomized Control Trial

Health Maintenance Organization-mHealth Versus Face-to-Face Interaction for Health Care in Israel: Cross-Sectional Web-Based Survey Study

BACKGROUND

Health maintenance organization-mobile health (HMO-mHealth) services have a direct impact on patients' daily lives, and HMOs regularly expand their range of mHealth services. HMO-mHealth apps are saving HMOs time and money, as services are becoming more accessible to patients. However, the willingness to use mHealth apps depends on user perception. Although mHealth apps can change the relationship dynamic between HMOs and patients, patients prefer to use them to facilitate face-to-face interactions rather than replace them.

OBJECTIVE

This study aims to examine the extent to which Israeli adults prefer adopting health care services using HMO-mHealth as a replacement for face-to-face interaction.

METHODS

Israeli adults aged ≥18 years completed an electronic questionnaire. Data were collected from December 2020 to February 2021. All services in the main HMO-mHealth apps of the 4 Israeli HMOs were mapped. The 29 health care services used in this study were identical in all 4 HMO-mHealth apps in Israel. The association between sociodemographic characteristics and health condition with preference for HMO-mHealth or face-to-face interaction was analyzed separately for each health service by using a logistic model.

RESULTS

A total of 6321 respondents completed the questionnaire (female: 4296/6321, 68%; male: 2025/6321, 32%). Approximately 80.9% (5115/6321) to 88.2% (5578/6321) of the respondents preferred using HMO-mHealth apps for administrative matters. However, 55.3% (3498/6321), 52.2% (3301/6321), and 46.9% (2969/6321) preferred face-to-face meetings for the initial medical diagnosis, medical treatment, and medical diagnosis results, respectively. Seven main variables were found to be associated with HMO-mHealth adoption, including gender, age, education, marital status, religious affiliation, and subjective health condition. Female respondents were more likely than male respondents to prefer HMO-mHealth apps for administrative matters and face-to-face interaction for personal medical diagnosis and treatment (odds ratio [OR] 0.74, 95% CI 0.67-0.83; P<.001 and OR 0.82, 95% CI 0.74-0.92; P<.001, respectively). Married individuals preferred using HMO-mHealth apps over face-to-face meetings for a new medical diagnosis (OR 1.31, 95% CI 1.15-1.49; P<.001) or treatment (OR 1.34, 95% CI 1.18-1.52; P<.001). Improved health perception was associated with higher preference for HMO-mHealth apps across all health care services in this study (OR 1.11, 95% CI 1.02-1.22; P<.02 to OR 1.38, 95% CI 1.25-1.53; P<.001). No significant association was found between the presence of a chronic disease and the preferred mode of interaction for most services.

CONCLUSIONS

HMO-mHealth is proving to be a robust and efficient tool for health care service delivery. However, there are barriers that affect vulnerable populations when adopting HMO-mHealth. Therefore, it is important to tailor HMO-mHealth apps for older adults, the chronically ill, and minorities in society, as these groups have a greater need for these services. Future studies should focus on identifying the barriers that affect the utilization of HMO-mHealth in these groups.

Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities

INTRODUCTION

A proper nutrition is essential for human life. Recently, special attention on this topic has been given in relation to three health statuses: obesity, malnutrition and specific diseases that can be related to food or treated with specific diets. Mobile technology is often used to assist users that wish to regulate their eating habits, and identifying which fields of application have been explored the most by the app developers and which main functionalities have been adopted can be useful in view of future app developments.

METHODS

We selected 322 articles mentioning nutrition support apps through a literature database search, all of which have undergone an initial screening. After the exclusion of papers that were already reviews, not presenting apps or not focused on nutrition, not relevant or not developed for human subjects, 100 papers were selected for subsequent analyses that aimed at identifying the main treated conditions, outcome measures and functionalities implemented in the Apps.

RESULTS

Of the selected studies, 33 focus on specific diseases, 24 on obesity, 2 on malnutrition and 41 on other targets (e.g., weight/diet control). Type 2 diabetes is the most targeted disease, followed by gestational diabetes, hypertension, colorectal cancer and CVDs which all were targeted by more than one app. Most Apps include self-monitoring and coaching functionalities, educational content and artificial intelligence (AI) tools are slightly less common, whereas counseling, gamification and questionnaires are the least implemented. Body weight and calories/nutrients were the most common general outcome measures, while glycated hemoglobin (HbA1c) was the most common clinical outcome. No statistically significant differences in the effectiveness of the different functionalities were found.

CONCLUSION

The use of mobile technology to improve nutrition has been widely explored in the last years, especially for weight control and specific diseases like diabetes; however, other food-related conditions such as Irritable Bowel Diseases appear to be less targeted by newly developed smartphone apps and their related studies. All different kinds of functionalities appear to be equally effective, but further specific studies are needed to confirm the results.

Cost-effectiveness analysis of individual-level obesity treatment in paediatrics: A scoping review

OBJECTIVES

This scoping review informs a health economics perspective on the treatment of paediatric obesity. The results detail recently published research findings on the cost-effectiveness of paediatric obesity treatments and identify key characteristics of cost-effective interventions.

METHODS

A structured search was applied to six databases with no data restriction through March 2023: Medline, Embase, Cochrane CENTRAL, CINAHL, and PsycINFO. Studies that included a cost analysis of an individual level, weight management intervention (behavioural, pharmacotherapy, and surgical) in youth, with obesity, ages 2 to 21 years were eligible for inclusion.

RESULTS

Of the 4371 records identified in the initial search, 353 underwent full-text review, 39 studies met the pre-specified inclusion criteria. The majority were published after 2010 (n = 36/39, 92%) and applied to high-income countries (n = 39/39, 100%). Thirty-five of the studies assessed the cost-effectiveness of lifestyle interventions (90%), and four studies assessed surgical outcomes (10%). No pharmacotherapy studies met eligibility criteria. Although the outcome measures differed across the studies, all four surgical interventions were reported to be cost-effective. Thirty of the 35 (85%) lifestyle modification studies were reported to be cost-effective compared to the study comparator examined.

CONCLUSIONS

There is a small amount of evidence that individual-level paediatric obesity treatment interventions are cost-effective and, in some cases cost-saving, with most of this work conducted on behavioural interventions. The economic evaluation of paediatric obesity interventions poses various methodologic challenges, which should be addressed in future research to fully use the potential of economic evaluation as an aid to decision-making.

Leveraging seasonality and timing to optimize pediatric weight management interventions: Novel directions for future research

National estimates suggest that more than 35% of American children, ages 2-19 years, are overweight or obese, which increases their risk for weight-related comorbidities including diabetes, cancer, cardiovascular disease risk factors, depression, and anxiety. While obesity prevention is most cost-effective, for youth with existing obesity, the United States Preventive Services Task Force recommends ≥26 h of comprehensive lifestyle intervention over 6-12 months. This include standard behavioral therapy, dietary counseling, and an emphasis on physical activity. Although such programs are effective in reducing weight status, there are many barriers to completing these programs. A novel consideration for both the prevention and treatment of childhood obesity is the recognition that the timing of intervention, both duration and time of the year, can impact family engagement and intervention effectiveness. This paper discusses the potential of targeting high-risk periods for weight gain and offering brief behavioral intervention, in hopes of inspiring research on novel approaches to the prevention and treatment of childhood obesity.

Healthy kids vids: Development and acceptability of narrative healthy lifestyle videos and text messages for parents of young children from socioeconomically disadvantaged populations

ISSUE ADDRESSED

Dietary intake and physical activity behaviours of many Australian children are not meeting recommendations, particularly for those living in socioeconomically disadvantaged circumstances. This study aimed to design and assess the feasibility and acceptability of a suite of narrative videos and text messages focused on healthy eating and physical activity behaviours appropriate for parents of young children from socioeconomically disadvantaged backgrounds.

METHODS

Parents of 1-5-year-old children (n = 6) were recruited to develop a suite of 12 narrative videos on healthy eating and physical activity behaviours, underpinned by theory. Twelve complementary text messages were subsequently developed. A different group of parents (n = 16) recruited from socioeconomically disadvantaged areas reviewed the videos and text messages over 6 weeks and provided feedback via surveys and qualitative interviews (n = 13).

RESULTS

There was a high level of engagement with and acceptability of the videos and text message content. Participants found the videos easy to access and they liked the narrative style. Screen time videos and text messages relating to screen time, play and physical activity, role modelling and fussy eating were most useful.

CONCLUSIONS

Narrative style healthy eating, physical activity and screen time videos and complementary text messages were highly acceptable to the sample of parents of 1-5-year-old children from socioeconomically disadvantaged areas recruited from the Illawarra Shoalhaven region of NSW, Australia. SO WHAT?: Short narrative style videos and text messages are an easy to process and acceptable method of delivering healthy lifestyle promotion content to parents.

Comparison of a Telehealth-Based Intensive Treatment Program with a Rewarding App vs. On-Site Care for Youth with Obesity: A Historical Cohort Study

The recommended treatment for children with obesity includes numerous consultations by a multidisciplinary team, which is very cumbersome. Telehealth can assist in administering frequent care to children with obesity, yet the exact approaches and modes of delivery are still explored. During the COVID-19 pandemic, we developed an intensive telehealth-based treatment program that included a rewarding app for children with obesity. The aim of this study was to compare 6-month changes in body mass index (BMI) and body fat percent between participants in the program (n = 70) vs. children that underwent historic on-site care (n = 87). After 6 months, more participants in the telehealth group continued treatment compared to the on-site group (79% vs. 60%, p < 0.001). A significant reduction in the median BMI z-score (zBMI) was seen after 6 months in both groups (p < 0.01), with a similar proportion of zBMI reductions (71% in the telehealth group, 75% in the comparison group, p = 0.76). No statistically significant differences were found between the study groups in 6-month changes in BMI, zBMI, body fat percent or fat z-scores. We conclude that our telehealth program, which was executed during the COVID-19 pandemic, resulted in a high proportion of children with zBMI reduction that was comparable with the more personal on-site care.

Economic and health impacts of the Change4Life Food Scanner app: Findings from a randomized pilot and feasibility study

Introduction

The UK Government developed the Change4Life Food Scanner app to provide families with engaging feedback on the nutritional content of packaged foods. There is a lack of research exploring the cost-effectiveness of dietary health promotion apps.

Methods

Through stakeholder engagement, a conceptual model was developed, outlining the pathway by which the Food Scanner app leads to proximal and distal outcomes. The conceptual model informed the development of a pilot randomized controlled trial which investigated the feasibility and acceptability of evaluating clinical outcomes in children and economic effectiveness of the Food Scanner app through a cost-consequence analysis. Parents of 4–11 years-olds (n = 126) were randomized into an app exposure condition (n = 62), or no intervention control (n = 64). Parent-reported Child Health Utility 9 Dimension (CHU9D) outcomes were collected alongside child healthcare resource use and associated costs, school absenteeism and parent productivity losses at baseline and 3 months follow up. Results for the CHU9D were converted into utility scores based on UK adult preference weights. Sensitivity analysis accounted for outliers and multiple imputation methods were adopted for the handling of missing data.

Results

64 participants (51%) completed the study (intervention: n = 29; control: n = 35). There was a mean reduction in quality adjusted life years between groups over the trial period of –0.004 (SD = 0.024, 95% CI: –0.005; 0.012). There was a mean reduction in healthcare costs of –£30.77 (SD = 230.97; 95% CI: –£113.80; £52.26) and a mean reduction in workplace productivity losses of –£64.24 (SD = 241.66, 95% CI: –£147.54; £19.07) within the intervention arm, compared to the control arm, over the data collection period. Similar findings were apparent after multiple imputation.

Discussion

Modest mean differences between study arms may have been due to the exploration of distal outcomes over a short follow-up period. The study was also disrupted due to the coronavirus pandemic, which may have confounded healthcare resource data. Although measures adopted were deemed feasible, the study highlighted difficulties in obtaining data on app development and maintenance costs, as well as the importance of economic modeling to predict long-term outcomes that may not be reliably captured over the short-term.

Clinical trial registration

https://osf.io/, identifier 62hzt.

Evaluating 12 Years of Implementing a Multidisciplinary Specialist Child and Adolescent Obesity Treatment Service: Patient-Level Outcomes

Introduction

Childhood obesity is a chronic disease that requires multidisciplinary and specialist intervention to address its complex pathophysiology, though access to treatment is limited globally. Evaluating the impact of evidence-based interventions implemented in real-world clinical settings is essential, in order to increase the translation of research into practice and enhance child health outcomes. In Ireland, the National Model of Care for Obesity highlighted the need to develop and improve healthcare services for children and adolescents with obesity.

Aims

This study aims to evaluate the impact of a family-based, Tier 3 multi-disciplinary child and adolescent obesity outpatient service (www.w82go.ie) on standardized body mass index (BMI-SDS).

Methods

Following referral by pediatricians, patients were assessed by a pediatric multidisciplinary team (physiotherapist, dietician, and psychologist) and personalized obesity treatment plans were developed. Anthropometric and demographic information were recorded at baseline and final visit. Descriptive statistics were used to explore distribution, central tendency and variation in the demographic data, change in BMI-SDS over time was assessed using a t-test, and multiple linear regression analysis was used to investigate the association of demographic factors on the change in BMI-SDS.

Results

The overall mean BMI-SDS reduction across the whole cohort (n = 692) was −0.17 (95% CI = −0.20, −0.13; P &lt; 0.001). Younger age at admission and longer duration of treatment were associated with greater BMI-SDS reduction but there was no significant association between change in BMI-SDS and any of the other parameters (deprivation score, treatment type, sex, obesity category at admission or presence of comorbid condition).

Conclusion

Engagement in a specialist Tier 3 pediatric obesity service was associated with reductions in BMI-SDS in children and adolescents with obesity.