The impact of a Web-based app (eBalance) in promoting healthy lifestyles: randomized controlled trial

Experiences From a Web- and App-Based Workplace Health Promotion Intervention Among Employees in the Social and Health Care Sector Based on Use-Data and Qualitative Interviews

BACKGROUND

An increasing number of Web- and app-based tools for health promotion are being developed at the moment. The ambition is generally to reach out to a larger part of the population and to help users improve their lifestyle and develop healthier habits, and thereby improve their health status. However, the positive effects are generally modest. To understand why the effects are modest, further investigation into the participants' experiences and the social aspects of using Web- and app-based health promotion tools is needed.

OBJECTIVE

The objectives of this study were to investigate the motivation behind taking part in and using a Web- and app-based health promotion tool (SoSu-life) at the workplace and to explore the participants' experiences with using the tool.

METHODS

Qualitative interviews with 26 participants who participated in a 38-week randomized controlled trial of a workplace Web- and app-based tool for health promotion were conducted. Data were supplemented with tracking the frequency of use. The basic features of the tool investigated in the trial were self-reporting of diet and exercise, personalized feedback, suggestions for activities and programs, practical tips and tricks, and a series of social features designed to support and build interactions among the participants at the workplace.

RESULTS

The respondents reported typically one of the two reasons for signing up to participate in the study: either a personal wish to attain some health benefits or the more social reason that participants did not want to miss out on the social interaction with colleagues. Peer pressure from colleagues had made some participants to sign up even though they did not believe they had an unhealthy behavior. Of the total of 355 participants in the intervention group, 203 (57.2%) left the intervention before it ended. Of the remaining participants, most did not use the tool after the competition at the end of the initial 16-week period. The actual number of active users of the tool throughout the whole intervention period was low; however, the participants reported that lifestyle habits became a topic of conversation.

CONCLUSIONS

A tool that addresses group interactions at workplaces appears to initiate peer pressure, which helped recruitment for participation. However, active participation was low. A social change was indicated, allowing for more interaction among colleagues around healthy lifestyle issues. Future and more long-term studies are needed to determine whether such social changes could lead to sustained improvements of health.

Assessing the Impact of a Novel Smartphone Application Compared With Standard Follow-Up on Mobility of Patients With Knee Osteoarthritis Following Treatment With Hylan G-F 20: A Randomized Controlled Trial

Background

Osteoarthritis (OA) is a leading cause of disability in the United States. Although no disease-modifying therapies exist, patients with knee OA who increase walking may reduce risk of functional limitations.

Objective

The objective of the study is to evaluate the impact of a mobile app (OA GO) plus wearable activity monitor/pedometer (Jawbone UP 24) used for 90 days on the mobility of patients with knee OA treated with hylan G-F 20.

Methods

Patients with knee OA aged 30 to 80 years who were eligible to receive hylan G-F 20 and were familiar with smartphone technology were enrolled in this randomized, multicenter, open-label study. Patients who had a body mass index above 35 kg/m² were excluded. All patients received a single 6-mL injection of hylan G-F 20 and wore the Jawbone monitor. The patients were then randomized 1:1 to Jawbone and OA GO (Group A; n=107) with visible feedback (unblinded) or Jawbone only (Group B; n=104) with no visible feedback (blinded). The primary endpoint was mean change from baseline in steps per day at day 90 between Groups A and B.

Results

Baseline characteristics were similar between groups. There were significant differences between the increases in least squares (LS) mean number of steps per day (1199 vs 467, P=.03) and the mean percentage change (35.8% vs 11.5%, P=.02) from baseline in favor of Group A over Group B. There was a greater reduction in pain from baseline during the 6-minute walk test in Group A versus Group B. (LS mean change: −55.3 vs −33.8, P=.007). Most patients (65.4%) and surveys of physicians (67.3%) reported they would be likely or very likely to use/recommend the devices. Patient Activity Measure-13 scores improved from baseline (LS mean change for Groups A and B: 5.0 vs 6.9), with no significant differences between groups. The occurrence of adverse events was similar in the 2 groups.

Conclusions

Use of a novel smartphone app in conjunction with a wearable activity monitor provided additional improvement on mobility parameters such as steps per day and pain with walking in the 6-minute walk test in patients with knee OA who were treated with hylan G-F 20. Results also highlight the amenability of patients and physicians to using mobile health technology in the treatment of OA and suggest further study is warranted.

Effect of a Nine-Month Web- and App-Based Workplace Intervention to Promote Healthy Lifestyle and Weight Loss for Employees in the Social Welfare and Health Care Sector: A Randomized Controlled Trial

BACKGROUND

General health promoting campaigns are often not targeted at the people who need them the most. Web- and app-based tools are a new way to reach, motivate, and help people with poor health status.

OBJECTIVE

The aim of our study was to test a Web- and mobile app-based tool ("SoSu-life") on employees in the social welfare and health care sector in Denmark.

METHODS

A randomized controlled trial was carried out as a workplace intervention. The tool was designed to help users make healthy lifestyle changes such as losing weight, exercise more, and quit smoking. A team competition between the participating workplaces took place during the first 16 weeks of the intervention. Twenty nursing homes for elderly people in 6 municipalities in Denmark participated in the study. The employees at the nursing homes were randomized either 1:1 or 2:1 on a municipality level to use the SoSu-life tool or to serve as a control group with no intervention. All participants underwent baseline measurements including body weight, waist circumference, body fat percentage, blood pressure, and blood cholesterol level and they filled in a questionnaire covering various aspects of health. The participants were measured again after 16 and 38 weeks.

RESULTS

A total of 566 (SoSu-life: n=355, control: n=211) participants were included in the study. At 16 weeks there were 369 participants still in the study (SoSu-life: n=227, control: n=142) and 269 participants completed the 38 week intervention (SoSu-life: n=152, control: n=117). At 38 weeks, the SoSu-life group had a larger decrease in body weight (-1.01 kg, P=.03), body fat percentage (-0.8%, P=.03), and waist circumference (-1.8 cm, P=.007) compared with the control group.

CONCLUSIONS

The SoSu-life Web- and app-based tool had a modest yet beneficial effect on body weight and body fat percentage in the health care sector staff.

TRIAL REGISTRATION

Clinicaltrials.gov NCT02438059; http://clinicaltrials.gov/ct2/show/NCT02438059 (Archived by WebCite at http://www.webcitation.org/6i6y4p2AS).

The use of mobile devices for physical activity tracking in older adults' everyday life

OBJECTIVE

The tracking of one's own physical activity with mobile devices is a way of monitoring and motivating oneself to remain healthy. Older adults' general use of mobile devices for physical activity tracking has not yet been examined systematically. The study aimed to describe the use of physical activity trackers, smartwatches and smartphones, or tablets for tracking physical activity and to examine the reasons for the use of these technologies.

METHODS

Participants aged ≥50 years (N = 1013) living in Switzerland were interviewed in a telephone survey. To address the research questions, we calculated descriptive frequency distributions, tested for differences between groups, and performed logistic regression analyses.

RESULTS

Descriptive and multivariate analyses showed that (a) 20.5% of participants used mobile devices for physical activity tracking; (b) men, younger individuals, those with a strong interest in new technology, and those who frequently exercised had a higher likelihood of using mobile devices for physical activity tracking; and (c) participants more often agreed with reasons for use relating to tracking physical activity and motivating oneself to remain healthy than they did with reasons relating to social factors.

CONCLUSIONS

The study presented representative data about the actual use of mobile tracking technology in persons over 50 years of age. Today, mainly active and younger elderly (mostly men) with a high interest in technology are using tracking technologies. Results indicate a need for further studies on motivational and usability aspects regarding the use of mobile health tracking devices by older adults.

Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review

BACKGROUND

Health and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but their efficacy is unclear. This systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults.

METHODS

Systematic literature searches were conducted in five databases to identify papers published between 2006 and 2016. Studies were included if they used a smartphone app in an intervention to improve diet, physical activity and/or sedentary behaviour for prevention. Interventions could be stand-alone interventions using an app only, or multi-component interventions including an app as one of several intervention components. Outcomes measured were changes in the health behaviours and related health outcomes (i.e., fitness, body weight, blood pressure, glucose, cholesterol, quality of life). Study inclusion and methodological quality were independently assessed by two reviewers.

RESULTS

Twenty-seven studies were included, most were randomised controlled trials (n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes.

CONCLUSIONS

This review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than stand-alone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy.

Impact of Patient-centered eHealth Applications on Patient Outcomes: A Review on the Mediating Influence of Human Factor Issues

OBJECTIVES

To examine the evidence of the impact of patient- centered eHealth applications on patient care and to analyze if and how reported human factor issues mediated the outcomes.

METHODS

We searched PubMed (2014-2015) for studies evaluating the impact of patient-centered eHealth applications on patient care (behavior change, self-efficacy, and patient health-related outcomes). The Systems Engineering Initiative for Patient Safety (SEIPS 2.0) model was used as a guidance framework to identify the reported human factors possibly impacting the effectiveness of an eHealth intervention.

RESULTS

Of the 348 potentially relevant papers, 10 papers were included for data analysis. None of the 10 papers reported a negative impact of the eHealth intervention. Seven papers involved a randomized controlled trial (RCT) study. Six of these RCTs reported a positive impact of the eHealth intervention on patient care. All 10 papers reported on human factor issues possibly mediating effects of patient-centered eHealth. Human factors involved patient characteristics, perceived social support, and (type of) interaction between patient and provider.

CONCLUSION

While the amount of patient-centered eHealth interventions increases, many questions remain as to whether and to what extent human factors mediate their use and impact. Future research should adopt a formal theory-driven approach towards human factors when investigating those factors' influence on the effectiveness of these interventions. Insights could then be used to better tailor the content and design of eHealth solutions according to patient user profiles, so as to enhance eHealth interventions impact on patient behavior, self-efficacy, and health-related outcomes.

Incorporating Novel Mobile Health Technologies Into Management of Knee Osteoarthritis in Patients Treated With Intra-Articular Hyaluronic Acid: Rationale and Protocol of a Randomized Controlled Trial

Background

Osteoarthritis (OA) of the knee is one of the leading causes of disability in the United States. One relatively new strategy that could be helpful in the management of OA is the use of mHealth technologies, as they can be used to increase physical activity and promote exercise, which are key components of knee OA management.

Objective

Currently, no published data on the use of a mHealth approach to comprehensively monitor physical activity in patients with OA are available, and similarly, no data on whether mHealth technologies can impact outcomes are available. Our objective is to evaluate the effectiveness of mHealth technology as part of a tailored, comprehensive management strategy for patients with knee OA.

Methods

The study will assess the impact of a smartphone app that integrates data from a wearable activity monitor (thereby both encouraging changes in mobility as well as tracking them) combined with education about the benefits of walking on patient mobility. The results from the intervention group will be compared with data from a control group of individuals who are given the same Arthritis Foundation literature regarding the benefits of walking and wearable activity monitors but who do not have access to the data from those monitors. Activity monitors will capture step count estimates and will compare those with patients’ step goals, calories burned, and distance walked. Patients using the novel smartphone app will be able to enter information on their daily pain, mood, and sleep quality. The relationships among activity and pain, activity and mood, and sleep will be assessed, as will patient satisfaction with and adherence to the mobile app.

Results

We present information on an upcoming trial that will prospectively assess the ability of a mobile app to improve mobility for knee OA patients who are treated with intra-articular hyaluronic acid.

Conclusions

We anticipate the results of this study will support the concept that mHealth technologies provide continuous, real-time feedback to patients with OA on their overall level of activity for a more proactive, personalized approach to treatment that may help modify behavior and assist with self-management through treatment support in the form of motivational messages and reminders.

Use of a web-based educational intervention to improve knowledge of healthy diet and lifestyle in women with Gestational Diabetes Mellitus compared to standard clinic-based education

Background

This study introduced a web-based educational intervention for Australian women with gestational diabetes mellitus (GDM). The aim was to improve knowledge on healthy diet and lifestyle in GDM. Evaluation of the intervention explored women’s knowledge and understanding of GDM, healthy diet, healthy food, and healthy lifestyle, after using the web-based program compared to women receiving standard clinic-based GDM education.

Methods

A total of 116 women, aged 18–45 years old, newly diagnosed with GDM, participated (Intervention (n) = 56 and control (n) = 60). Women were randomly allocated to the intervention or control groups and both groups attended a standard GDM education class. Group 1(Intervention) additionally used an online touch screen/computer program. All women completed a questionnaire following the computer program and/or the education class. All questions evaluating levels of knowledge had more than one correct answer and scores were graded from 0 to 1, with each correct component receiving a score, eg. 0.25 per each correct answer in a 4 answer question. Chi-square test was performed to compare the two groups regarding knowledge of GDM.

Results

Findings indicated that the majority of women in the intervention group reported correct answers for “types of carbohydrate foods” for pregnant women with GDM, compared to the control group (62.5 % vs 58.3 %, respectively). Most women in both groups had an excellent understanding of “fruits and vegetables” (98.2 % vs 98.3 %), and the majority of women in the intervention group understood that they should exercise daily for 30 min, compared to the control group (92.9 % vs 91.7 %). Both groups had a good understanding across all categories, however, the majority of women in the intervention group scored all correct answers (score = 1) in term of foetal effects (17.9 % vs 13.3 %, respectively), maternal predictors (5.4 % vs 5 %), care requirements (39.3 % vs 23.3 %), GDM perceptions (48.2 % vs 46.7 %) and GDM treatment (67.9 % vs 61.7 %), compared to women in the control group.

Conclusion

The study suggested that both approaches, standard education and standard education plus web-based program, resulted in excellent knowledge scores, but not statistically significant difference between groups. Multiple and immediate access to the web-based education program at home may prove useful as a source of reference for women with GDM. Future study comparing results pre and post intervention is needed.

Trial registration

ACTRN12615000697583; Date registered: 03/07/2015; Retrospectively registered.

Electronic supplementary material

The online version of this article (doi:10.1186/s12884-016-0996-7) contains supplementary material, which is available to authorized users.

Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention

Background

A growing body of literature affirms the usefulness of mobile technologies, including mobile applications (apps), in the primary prevention field. The quality of health apps, which today number in the thousands, is a crucial parameter, as it may affect health-related decision-making and outcomes among app end-users. The mobile application rating scale (MARS) has recently been developed to evaluate the quality of such apps, and has shown good psychometric properties. Since there is no standardised tool for assessing the apps available in Italian app stores, the present study developed and validated an Italian version of MARS in apps targeting primary prevention.

Methods

The original 23-item version of the MARS assesses mobile app quality in four objective quality dimensions (engagement, functionality, aesthetics, information) and one subjective dimension. Validation of this tool involved several steps; the universalist approach to achieving equivalence was adopted. Following two backward translations, a reconciled Italian version of MARS was produced and compared with the original scale. On the basis of sample size estimation, 48 apps from three major app stores were downloaded; the first 5 were used for piloting, while the remaining 43 were used in the main study in order to assess the psychometric properties of the scale. The apps were assessed by two raters, each working independently. The psychometric properties of the final version of the scale was assessed including the inter-rater reliability, internal consistency, convergent, divergent and concurrent validities.

Results

The intralingual equivalence of the Italian version of the MARS was confirmed by the authors of the original scale. A total of 43 apps targeting primary prevention were tested. The MARS displayed acceptable psychometric properties. The MARS total score showed an excellent level of both inter-rater agreement (intra-class correlation coefficient of .96) and internal consistency (Cronbach’s α of .90 and .91 for the two raters, respectively). Other types of validity, including convergent, divergent, discriminative, known-groups and scalability, were also established.

Conclusions

The Italian version of MARS is a valid and reliable tool for assessing the health-related primary prevention apps available in Italian app stores.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-016-0323-2) contains supplementary material, which is available to authorized users.

Mobile health solutions for the aging population: A systematic narrative analysis

Introduction The ubiquitous nature of mobile technology coupled with the acceptance of mobile health (mHealth) among the elderly offers an opportunity to augment the existing medical workforce in long-term care. The objective of this review and narrative analysis is to identify and analyse facilitators and barriers to adoption of mHealth for the elderly. Methods Studies over the last year were identified in multiple database indices, and three reviewers examined abstracts ( k = 0.82) and analysed articles for themes which were tallied in affinity diagrams to identify frequency of occurrence in the literature (n = 36). Results The three facilitators mentioned most often were independence (18%), understanding (13%), and visibility (13%). The three barriers mentioned most often were complexity (21%), limited by users (12%) and ineffective (12%). Discussion and conclusions The reviewers concluded that the work done so far illustrates that mHealth enables a perception of independence. Future research should focus on the barriers of complexity of technology and improving existing medical literacy in order to facilitate further adoption.

Mobile Health Initiatives to Improve Outcomes in Primary Prevention of Cardiovascular Disease

OPINION STATEMENT

Cardiovascular disease affects more than a third of American adults and is the leading cause of mortality in the USA. Over the last 40 years, several behavioral and medical risk factors have been recognized as major contributors to cardiovascular disease. Effective management of many of these risk factors, particularly behavioral risk factors, remains challenging. With the growth of mobile health (mHealth) technology, a variety of novel strategies are now available to facilitate the delivery of interventions directed at reducing these risk factors. In this review, we discuss recent clinical studies and technologic innovations leveraging smartphone devices, social media, and wearable health tracking devices to facilitate behavioral interventions directed at three important and highly prevalent behavioral risk factors for cardiovascular disease: smoking, physical inactivity, and sub-optimal nutrition. We believe this technology has significant potential to provide low-cost, scalable, and individualized tools to improve management of these important cardiovascular disease risk factors.

Interactive web-based lifestyle intervention and metabolic syndrome: findings from the Red Ruby (a randomized controlled trial)

Background

Metabolic syndrome is a growing public health problem worldwide. Several interventions have been proposed to specifically target the problem. This study evaluated the effectiveness of an interactive web-based lifestyle for management of metabolic syndrome.

Methods

This randomized controlled trial was conducted from June through August 2012 in Tehran, Iran. Participants were individuals with metabolic syndrome who had registered on the study website. Interested eligible participants were invited for a free clinic visit and clinical assessment. They were randomly assigned to the intervention (n = 80) or control (n = 80) group. The intervention group received an interactive web-based program called the Healthy Heart Profile and were followed for 6 months. The control group received general information on metabolic syndrome. Anthropometric measures, glycemic status, and lipid profile were evaluated at baseline, and at 3- and 6-month follow-up assessments. Metabolic syndrome was defined according to The National Cholesterol Education Program Adult Treatment Panel (ATP) III report except for waist circumference, which was modified to ≥90 cm for both genders for the Iranian population.

Results

In total, 1,437 individuals registered on the study website. The mean age of participants was 44.2 years (SD = 10.0). There were no significant differences between the intervention and control groups on any baseline variable except that participants in the intervention group recorded higher levels of LDL. The results showed a decrease in metabolic syndrome in both groups. These reductions were significantly greater in the intervention group at the 3- and 6-month follow-ups. The intervention group showed significantly greater decreases (P < 0.05) over the control group for, respectively, systolic blood pressure (3-month: −10 versus −6 mmHg; 6-month: −11 versus −8 mmHg), diastolic blood pressure (3-month: −10 versus −4 mmHg; 6-month: −11 versus −6 mmHg), weight (3-month: −2 versus −1 kg; 6-month: −4 versus −1 kg), body mass index (3-month: −0.5 versus −0.2 kg/m²; 6-month: −1.1 versus −0.4 kg/m²) and improvement in HDL (3-month: 2 versus 0.64 mg/dl; 6-month: 6 versus 4 mg/dl).

Conclusion

The findings suggest that the web-based interactive program was beneficial for individuals with metabolic syndrome. Comprehensive interactive web-based prevention programs are promising to help involve patients in improving management of metabolic syndrome and adopting a healthy lifestyle.

Trial registration

IRCT201111198132N1. Registered 27 May 2013.

Electronic supplementary material

The online version of this article (doi:10.1186/s13063-015-0950-4) contains supplementary material, which is available to authorized users.

App use, physical activity and healthy lifestyle: a cross sectional study

Background

Physical inactivity is a growing public health concern. Use of mobile applications (apps) may be a powerful tool to encourage physical activity and a healthy lifestyle. For instance, apps may be used in the preparation of a running event. However, there is little evidence for the relationship between app use and change in physical activity and health in recreational runners. The aim of this study was to determine the relationship between the use of apps and changes in physical activity, health and lifestyle behaviour, and self-image of short and long distance runners.

Methods

A cross sectional study was designed. A random selection of 15,000 runners (of 54,000 participants) of a 16 and 6.4 km recreational run (Dam tot Damloop) in the Netherlands was invited to participate in an online survey two days after the run. Anthropometrics, app use, activity level, preparation for running event, running physical activity (RPA), health and lifestyle, and self-image were addressed. A chi-squared test was conducted to analyse differences between app users and non-app users in baseline characteristics as well as in RPA, healthy lifestyle and perceived health. In addition, a multivariate logistic regression analysis was performed to determine if app use could predict RPA, perceived health and lifestyle, and self-image.

Results

Of the 15,000 invited runners, 28 % responded. For both distances, app use was positively related to RPA and feeling healthier (p < 0.05). Also, app use was positively related to feeling better about themselves, feeling like an athlete, motivating others to participate in running, and losing weight (p < 0.01). Furthermore, for 16 km runners app use was positively related to eating healthier, feeling more energetic and reporting a higher chance to maintain sport behaviour (p < 0.05).

Conclusions

These results suggest that use of mobile apps has a beneficial role in the preparation of a running event, as it promotes health and physical activity. Further research is now needed to determine a causal relationship between app use and physical and health related behaviour.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-2165-8) contains supplementary material, which is available to authorized users.