Lessons Learned From Developing a Mobile App to Assist in Patient Recovery After Weight Loss Surgery

Bariatric Patient Engagement in a Pre-surgery Virtual Patient Navigation Platform (VPNP)

BACKGROUND

This study analyzed patient engagement with a virtual patient navigation platform (VPNP) designed to help guide bariatric surgery candidates through the complex pre-operative workup for surgery.

METHODS

Data on baseline sociodemographic and medical history was collected on patients enrolled in the bariatric program at a single academic institution between March and May 2021. The System Usability Scale (SUS) survey was administered to assess VPNP usability. Two groups emerged: "engaged" (ENG; n = 30) who activated their accounts and completed the SUS, and "not-engaged" (NEG; n = 35) who did not activate their accounts (n = 13) or did not use the app (n = 22) and were therefore ineligible for the SUS survey.

RESULTS

Analyses demonstrated that only insurance status differed between groups (private insurance: 60% versus 34.3% for ENG versus NEG, respectively; p = 0.038). SUS survey analysis demonstrated high perceived usability (median score = 86.3), corresponding to the 97th percentile of usability. The top three reasons for disengagement included being too busy (22.9%), not being interested (20%), and being unsure about the purpose of the app (20%).

CONCLUSIONS

The VPNP scored in the 97th percentile of usability. However, given a majority of patients did not engage with the app, and engagement was associated with completing pre-surgery requirements faster (unpublished), future work will focus on mitigating identified reasons for patients not engaging.

A Contemporary Review of Smart Phone Applications in Bariatric and Metabolic Surgery: an Underdeveloped Support Service

This study aims to be a contemporary review of mHealth apps in bariatric and metabolic surgery (BMS) to assess their quality using the Silberg scale as well as features, themes, usability, and medical/allied health professional involvement (MAPI). Apps were identified using search terms in the Android and Apple app stores. 52 apps were included. 42 (80.7%) apps main target users were patients. More than half, 27 (52%), targeted US based users. 29 (56%) had payment-restricted content. 42 (81%) had MAPI and the mean Silberg score was 5.2. Compared to previous studies the quality of BMS apps is improving with more MAPI and useful functionality. Wider use of mHealth apps for patient centred follow-up, management and care are yet to be widely implemented and explored.

Mobile applications in gastrointestinal surgery: a systematic review

BACKGROUND

Mobile applications can facilitate or improve gastrointestinal surgical care by benefiting patients, healthcare providers, or both. The extent to which applications are currently in use in gastrointestinal surgical care is largely unknown, as reported in literature. This systematic review was conducted to provide an overview of the available gastrointestinal surgical applications and evaluate their prospects for surgical care provision.

METHODS

The PubMed, EMBASE and Cochrane databases were searched for articles up to October 6th 2022. Articles were considered eligible if they assessed or described mobile applications used in a gastrointestinal surgery setting for healthcare purposes. Two authors independently evaluated selected studies and extracted data for analysis. Descriptive data analysis was conducted. The revised Cochrane risk of bias (RoB-2) tool and ROBINS-I assessment tool were used to determine the methodological quality of studies.

RESULTS

Thirty-eight articles describing twenty-nine applications were included. The applications were classified into seven categories: monitoring, weight loss, postoperative recovery, education, communication, prognosis, and clinical decision-making. Most applications were reported for colorectal surgery, half of which focused on monitoring. Overall, a low-quality evidence was found. Most applications have only been evaluated on their usability or feasibility but not on the proposed clinical benefits. Studies with high quality evidence were identified in the areas of colorectal (2), hepatopancreatobiliary (1) and bariatric surgery (1), reporting significantly positive outcomes in terms of postoperative recovery, complications and weight loss.

CONCLUSIONS

The interest for applications and their use in gastrointestinal surgery is increasing. From our study, it appears that most studies using applications fail to report adequate clinical evaluation, and do not provide evidence on the effectiveness or safety of applications. Clinical evaluation of objective outcomes is much needed to evaluate the efficacy, quality and safety of applications being used as a medical device across user groups and settings.

A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training

Adequate adherence is a necessary condition for success with any intervention, including for computerized cognitive training designed to mitigate age-related cognitive decline. Tailored prompting systems offer promise for promoting adherence and facilitating intervention success. However, developing adherence support systems capable of just-in-time adaptive reminders requires understanding the factors that predict adherence, particularly an imminent adherence lapse. In this study we built machine learning models to predict participants' adherence at different levels (overall and weekly) using data collected from a previous cognitive training intervention. We then built machine learning models to predict adherence using a variety of baseline measures (demographic, attitudinal, and cognitive ability variables), as well as deep learning models to predict the next week's adherence using variables derived from training interactions in the previous week. Logistic regression models with selected baseline variables were able to predict overall adherence with moderate accuracy (AUROC: 0.71), while some recurrent neural network models were able to predict weekly adherence with high accuracy (AUROC: 0.84-0.86) based on daily interactions. Analysis of the post hoc explanation of machine learning models revealed that general self-efficacy, objective memory measures, and technology self-efficacy were most predictive of participants' overall adherence, while time of training, sessions played, and game outcomes were predictive of the next week's adherence. Machine-learning based approaches revealed that both individual difference characteristics and previous intervention interactions provide useful information for predicting adherence, and these insights can provide initial clues as to who to target with adherence support strategies and when to provide support. This information will inform the development of a technology-based, just-in-time adherence support systems.

Mobile health technology for remote home monitoring after surgery: a meta-analysis

BACKGROUND

Mobile health (mHealth) technology has been proposed as a method of improving post-discharge surveillance. Little is known about how mHealth has been used to track patients after surgery and whether its use is associated with differences in postoperative recovery.

METHODS

Three databases (PubMed, MEDLINE and the Cochrane Central Registry of Controlled Trials) were searched to identify studies published between January 1999 and February 2021. Mobile health was defined as any smartphone or tablet computer capable of electronically capturing health-related patient information and transmitting these data to the clinical team. Comparable outcomes were pooled via meta-analysis with additional studies compiled via narrative review. The quality of each study was assessed based on Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria.

RESULTS

Forty-five articles met inclusion criteria. While the majority of devices were designed to capture general health information, others were specifically adapted to the expected outcomes or potential complications of the index procedure. Exposure to mHealth was associated with fewer emergency department visits (odds ratio 0.42, 95 per cent c.i. 0.23 to 0.79) and readmissions (odds ratio 0.47, 95 per cent c.i. 0.29 to 0.77) as well as accelerated improvements in quality of life after surgery. There were limited data on other postoperative outcomes.

CONCLUSION

Remote home monitoring via mHealth is feasible, adaptable, and may even promote more effective postoperative care. Given the rapid expansion of mHealth, physicians and policymakers need to understand these technologies better so that they can be integrated into high-quality clinical care.

What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review

Background:

Despite the growing popularity of mobile app interventions, specific engagement components of mobile apps have not been well studied.

Methods:

The objectives of this scoping review are to determine which components of mobile health intervention apps encouraged or hindered engagement, and examine how studies measured engagement.

Results:

A PubMed search on March 5, 2020 yielded 239 articles that featured the terms engagement, mobile app/mobile health, and adult. After applying exclusion criteria, only 54 studies were included in the final analysis.

Discussion:

Common app components associated with increased engagement included: personalized content/feedback, data visualization, reminders/push notifications, educational information/material, logging/self-monitoring functions, and goal-setting features. On the other hand, social media integration, social forums, poor app navigation, and technical difficulties appeared to contribute to lower engagement rates or decreased usage. Notably, the review revealed a great variability in how engagement with mobile health apps is measured due to lack of established processes.

Conclusion:

There is a critical need for controlled studies to provide guidelines and standards to help facilitate engagement and its measurement in research and clinical trial work using mobile health intervention apps.

Impact of a Mobile App to Support Home Recovery of Patients Undergoing Bariatric Surgery

BACKGROUND

Perioperative patient education and engagement are critical components of care in patients undergoing bariatric surgery, given the short length of stay and the requirements to adhere to various instructions. The use of patient engagement mobile technology may promote adherence to perioperative protocols and improve care by potentially identifying complications earlier and reducing associated health care costs.

MATERIALS AND METHODS

We introduced a mobile app that provides bariatric patients with access to educational materials and the ability to report on their symptoms. Using the data from the app and linking the data to patient outcomes collected in the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program database, we examined the effects of the app on readmission, length of stay, visits to the emergency department (ED), and patient satisfaction.

RESULTS

A total of 505 patients were enrolled in the app between July 2017 and March 2019. Among them, 396 patients who met the inclusion criteria for the study were compared with 458 patients in the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program database who were not enrolled in the app for the same study period. While the use of the app was not associated with the rates of prolonged length of stay, ED visits, and readmission, patients who completed a survey at 30 d after discharge reported that the app helped them avoid phone calls to the hospital (48.5%) and ED visits (13.0%). Furthermore, 94.8% of these patients reported that they would recommend the app to other patients undergoing the same surgery.

CONCLUSIONS

Additional features, such as the ability for patients to directly communicate with the health care providers within the app, may be effective in decreasing unnecessary health care utilization.

Conventional Follow-up Versus Mobile Application Home Monitoring for Postoperative Anterior Cruciate Ligament Reconstruction Patients: A Randomized Controlled Trial

PURPOSE

To determine whether a mobile app can reduce the need for in-person visits and examine the resulting societal cost differences between mobile and conventional follow-up for postoperative anterior cruciate ligament (ACL) reconstruction patients.

METHODS

Study design was a single-center, 2-arm parallel group randomized controlled trial. All patients undergoing ACL reconstruction aged 16 to 70 years were screened for inclusion in the study. Competent use of a mobile device and ability to communicate in English was required. Patients were randomly assigned to receive follow-up via a mobile app or conventional appointments. Analysis was intention-to-treat. The primary outcome was the number of in-person visits to any health care professional during the first 6 postoperative weeks. Secondary outcomes included analysis of costs incurred by the health care system and personal patient costs related to both methods of follow-up. Patient-reported satisfaction and convenience scores, rates of complications, and clinical outcomes were also analyzed.

RESULTS

Sixty patients were analyzed. Participants in the app group attended a mean of 0.36 in-person visits versus 2.44 in-person visits in the conventional group (95% confidence interval 0.08-0.28; P < .0001). On average, patients in the app group spent $211 (Canadian dollars) less than the conventional group over 6 weeks (P < .0001) on personal costs related to follow-up. Health care system costs were also significantly less in the app group ($157.5 vs CAD $202.2; P < .0001). There was no difference between groups in patient satisfaction, convenience, complication rates, or clinical outcome measures.

CONCLUSIONS

Mobile follow-up can eliminate a significant number of in-person visits during the first 6 postoperative weeks in patients undergoing ACL reconstruction with cost savings to both the patient and health care system. This method should be considered for dissemination among similar orthopaedic procedures during early postoperative care.

LEVEL OF EVIDENCE

I: Prospective randomized controlled trial.