What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions

Barriers and Facilitators of User Engagement With Digital Mental Health Interventions for People With Psychosis or Bipolar Disorder: Systematic Review and Best-Fit Framework Synthesis

BACKGROUND

Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.

OBJECTIVE

This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.

METHODS

A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder. The Consolidated Framework for Implementation Research was used to synthesize data on barriers and facilitators, following a best-fit framework synthesis approach.

RESULTS

The review included 175 papers (150 studies; 11,446 participants) describing randomized controlled trials; surveys; qualitative interviews; and usability, cohort, and case studies. Samples included people with schizophrenia spectrum psychosis (98/150, 65.3% of studies), bipolar disorder (62/150, 41.3% of studies), and clinicians (26/150, 17.3% of studies). Key facilitators were a strong recognition of DMHIs' relative advantages, a clear link between intervention focus and specific patient needs, a simple, low-effort digital interface, human-supported delivery, and device provision where needed. Although staff thought patients would lose, damage, or sell devices, reviewed studies found only 11% device loss. Barriers included intervention complexity, perceived risks, user motivation, discomfort with self-reflection, digital poverty, symptoms of psychosis, poor compatibility with existing clinical workflows, staff and patient fears that DMHIs would replace traditional face-to-face care, infrastructure limitations, and limited financial support for delivery.

CONCLUSIONS

Identified barriers and facilitators highlight key considerations for DMHI development and implementation. As to broader implications, sustainable business models are needed to ensure that evidence-based DMHIs are maintained and deployed.

TRIAL REGISTRATION

PROSPERO CRD42021282871; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=282871.

Mobile applications on app stores for deprescribing: A scoping review

Deprescribing is an evidence-based intervention to reduce potentially inappropriate medication use. Yet its implementation faces barriers including inadequate resources, training and time. Mobile applications (apps) on app stores could address some barriers by offering educational content and interactive features for medication assessment and deprescribing guidance. A scoping review was undertaken to examine existing deprescribing apps, identifying features including interactive and artificial intelligence (AI) elements. A comprehensive search was conducted in August 2023 to identify mobile apps with deprescribing content within the Apple and Google Play Stores. The apps found were screened for inclusion, and data on their features were extracted. Quality assessment was undertaken using the Mobile App Rating Scale. Six deprescribing-related apps were identified: the American Geriatrics Society Beers Criteria 2023, Dementia Training Australia Medications, Evidence-Based Medicine Guide, Information Assessment Method Medical Guidelines, MedGPT-Medical AI App, and Polypharmacy: Manage Medicines. These apps focused primarily on educating both patients/carers and healthcare professionals about deprescribing. Amongst them, two apps included interactive features, with one incorporating AI technology. While these features allowed for search queries and input of patient-level details, the apps provided limited personalised deprescribing advice. In terms of quality, the apps scored highly on functionality and information, and poorly on engagement and aesthetics. This review found deprescribing apps, despite being educational, have limitations in personalization and user engagement. Future research should prioritize evaluating their feasibility and user experience in clinical settings, and further explore how AI and interactivity could enhance the usefulness of these apps for deprescribing practices.

Economic Evaluations of mHealth Interventions for the Management of Type 2 Diabetes: A Scoping Review

BACKGROUND

There is plenty of evidence supporting the clinical benefits of mHealth interventions for type 2 diabetes, but despite often being promoted as cost-effective or cost-saving, there is still limited research to support such claims. The objective of this review was to summarize and critically analyze the current body of economic evaluation (EE) studies for mHealth interventions for type 2 diabetes.

METHODS

Using a comprehensive search strategy, five databases were searched for full and partial EE studies for mHealth interventions for type 2 diabetes from January 2007 to March 2022. "mHealth" was defined as any intervention that used a mobile device with cellular technology to collect and/or provide data or information for the management of type 2 diabetes. The CHEERS 2022 checklist was used to appraise the reporting of the full EEs.

RESULTS

Twelve studies were included in the review; nine full and three partial evaluations. Text messages smartphone applications were the most common mHealth features. The majority of interventions also included a Bluetooth-connected medical device, eg, glucose or blood pressure monitors. All studies reported their intervention to be cost-effective or cost-saving, however, most studies' reporting were of moderate quality with a median CHEERS score of 59%.

CONCLUSION

The current literature indicates that mHealth interventions for type 2 diabetes can be cost-saving or cost-effective, however, the quality of the reporting can be substantially improved. Heterogeneity makes it difficult to compare study outcomes, and the failure to report on key items leaves insufficient information for decision-makers to consider.

[Translated article] AVIP project (Prosthetic Virtual Friend): Study of clinical-functional outcomes and satisfaction with a mobile application in the perioperative management and follow-up of hip arthroplasty

OBJECTIVE

To analyse the clinical, quality of life, and healthcare quality outcomes obtained in a series of patients undergoing total hip arthroplasty (THA), who were empowered and monitored using the AVIP application. These results will be compared with a control group followed through a standard protocol.

MATERIAL AND METHOD

Randomised clinical trial with parallel groups involving patients with an indication for THA. Clinical variables were measured and compared using the WOMAC and mHHS, pain assessed by the VAS, quality of life with the SF-12 test. Walking capabilities were analysed using the Functional Gait Assessment Scale, along with satisfaction levels assessed through the SUCE questionnaire, and perceived anxiety levels related to the process.

RESULTS

A total of 68 patients were evaluated, with 31 patients in the AVIP group and 33 in the Control group completing the follow-up. Both groups demonstrated improvement in clinical outcomes based on the WOMAC and mHHS hip tests, a reduction in perceived pain, and an enhancement in quality of life according to the SF-12 test. Patients in the AVIP study group exhibited non-inferiority in clinical outcomes and satisfaction compared to the control group, as well as lower anxiety levels and improved walking capabilities after the first month of follow-up. Notably, 82.25% of the follow-up visits for this group were conducted remotely.

CONCLUSION

The implementation of a mHealth application like AVIP can be safely offered to selected patients undergoing hip arthroplasty, enabling effective monitoring and providing continuous information and training.

The impact of a lifestyle behaviour change program on healthcare costs: Quasi-experimental real-world evidence from an open-access mobile health app in the Netherlands

OBJECTIVE

Recognizing the substantial role of modifiable risk factors such as physical inactivity, unhealthy diets, and substance use in driving global healthcare expenses, this study aims to assess the impact of a lifestyle behaviour change mobile health (mHealth) app on healthcare costs within a real-world setting.

METHODS

Employing a difference-in-difference approach, this research compared healthcare costs between users of an mHealth app (treatment group) and a propensity score-matched control group of non-users. The study included data from 15,506 participants in the Netherlands, covering healthcare cost records collected from 2015 to 2019.

RESULTS

The implementation of the mHealth app was linked to a steady reduction in healthcare costs, achieving a 4.9 % decrease (β=-0.05,95%CI:-0.10to0.00) during the first year following the program's implementation, and a further 5.3 % decrease (β=-0.05,95%CI:-0.10to-0.00) in the second year. This healthcare costs reduction is associated with lower expenses for general practitioner services as well as diminished specialist visits. Additionally, increased app use led to further cost reductions, with frequency of use proving more important than intensity.

CONCLUSIONS

This study demonstrates that a behaviour change mHealth app is linked to significant reductions in healthcare costs, with more frequent and intense use leading to greater savings. Given their relatively low cost and ability to reach diverse population groups, such apps not only enhance individual health outcomes but can also serve as effective policy tools for large-scale health promotion, supporting broader societal health improvements.

What does it cost to expand two-way texting for post-operative follow-up? A cost analysis in routine voluntary medical male circumcision settings in South Africa

Up to 98% of adult voluntary medical male circumcision (VMMC) clients heal without adverse events (AEs) in South Africa and in the sub-Saharan Africa (SSA) region, yet all clients in South Africa (SA) are still required to attend in-person reviews, creating added work for providers and barriers for clients. A randomized controlled trial (RCT) using our fee-free, open-source, two-way texting (2wT) approach showed that males could independently monitor their healing with support from VMMC nurse-led telehealth and that 2wT was more cost-effective than routine visits for quality post-operative monitoring. The objectives of this costing activity were to assess the additive cost of 2wT vs. SoC during a stepped wedge design (SWD) expansion trial; costing an augmentation of 2wT with dedicated personnel during peak VMMC periods; and estimate the cost savings of 2wT from the payer perspective if scaled in routine VMMC settings. Data was collected from routine financial reports and complemented by previous RCT time-motion estimates. We conducted activity-based costing of SWD and peak season periods; sensitivity analysis estimated 2wT costs at scale. We included data from 6,842 males, with 2,586 (38%) opting for 2wT. 2wT participants attended an average of zero visits; SoC males had an average of 2 visits. Under 2wT, quality care markers improved and AE ascertainment increased while loss to follow-up (LTFU) decreased. Given a VMMC population of 10,000 adults, scenario analysis suggests that: 1) 2wT becomes cost neutral with 45% 2wT enrollment; 2) 2wT saves $0.29/client with 60% 2wT enrollment; and 3) 2wT saves $0.46/client with 80% 2wT enrollment. When implemented at scale, 2wT appears to significantly reduce costs to the healthcare system while improving the quality of post-operative care and requiring no additional client costs. 2wT should be expanded for eligible males across VMMC and other post-operative contexts in South Africa.

Usability and Effectiveness of eHealth and mHealth Interventions That Support Self-Management and Health Care Transition in Adolescents and Young Adults With Chronic Disease: Systematic Review

BACKGROUND

With advances in medical technologies, more children with chronic diseases are now living on into adulthood. The development of proficient self-management skills is essential for adolescents and young adults to transition from pediatric to adult health care services. An innovative way to improve the current care model and foster self-management skills could be through eHealth or mHealth (mobile health) interventions, in particular, when considering the rising ownership of digital technology by adolescents and young adults.

OBJECTIVE

This systematic review aimed to evaluate the features, acceptability, usability, engagement, and intervention efficacy of eHealth and mHealth interventions that support self-management and health care transition in adolescents and young adults with chronic disease.

METHODS

This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines (registration number CRD42023378355). We systematically searched the MEDLINE complete, Embase, Cochrane Library, CINAHL complete, and ProQuest Health & Medical complete. We considered only articles published in or since 2019, as we aimed to extend the data collected by 2 previous systematic reviews.

RESULTS

A total of 16,752 studies were screened. After removing duplicates, 14,507 studies were excluded based on the title and abstract. Ultimately, 22 studies were included. The interventions ranged from simple text messages to complex interventions involving web-based games and engagement of health care providers, which were summarized into 6 themes: medication monitoring and reminders, symptom tracking and monitoring, management goal setting, knowledge education and self-management skills training, incentives and reinforcement, and communication. Most adolescents and young adults felt the eHealth and mHealth interventions were feasible, as they were convenient, easy to use, and accessible in the context of helping manage their health. However, user engagement was variable and presented a gradual decline in youth engagement with these apps over time. Barriers that prevent user engagement are diverse, such as time-consuming video uploads, noncontinuous access to a phone, reading literacy levels, language, and false impressions. Moreover, adolescents and young adults had different preferred styles of message delivery and functions, especially the engaging elements, disease-specific information, and opportunities to communicate with peers, health care providers, and app teams.

CONCLUSIONS

There remains limited data about the effectiveness of eHealth and mHealth interventions facilitating the self-management and health care transition of adolescents and young adults with chronic diseases. Based on the available evidence, they were receptive to and interested in receiving information and managing their health using mobile apps or websites. Considering adolescents and young adults had different preferred styles of message delivery and features, to improve user engagement and provide focused interventions, it would be better to involve them early in the design process to identify their specific needs, as well as collaborate with health care providers and app teams to obtain suggestions.

Psychometric Properties of Measuring Antiretroviral Therapy Adherence Among Young Latino Sexual Minority Men With HIV: Ecological Momentary Assessment and Electronic Pill Dispenser Study

Background

Increasing HIV rates among young Latino sexual minority men (YLSMM) warrant innovative and rigorous studies to assess prevention and treatment strategies. Ecological momentary assessments (EMAs) and electronic pill dispensers (EPDs) have been used to measure antiretroviral therapy (ART) adherence repeatedly in real time and in participants' natural environments, but their psychometric properties among YLSMM are unknown.

Objective

The study's objective was to assess the concurrent validity, acceptability, compliance, and behavioral reactivity of EMAs and EPDs among YLSMM with HIV.

Methods

A convenience sample of 56 YLSMM with HIV with suboptimal ART adherence, aged 18-34 years, was recruited into a 28-consecutive-day EMA study. Concurrent validity was analyzed by comparing median ART adherence rates and calculating Spearman correlations between ART adherence measured by EMA, EPD, and baseline retrospective validated 3-item and single-item measures. Acceptability was assessed in exit interviews asking participants to rate EMA and EPD burden. Compliance was assessed by computing the percent lost to follow-up, the percent of EMAs missed, and the percentage of days the EPD was not opened that had corresponding EMA data self-reporting adherence to ARTs. Behavioral reactivity was assessed by computing the median change in ART adherence during the study period, using generalized mixed models to assess whether the cumulative number of EMAs completed and days of EPD use predicted ART adherence over time, and by asking participants to rate perceived reactivity using a Likert scale.

Results

EMA ART adherence was significantly correlated with baseline validated 3-item (r=0.41, P=.003) and single-item (r=0.52, P<.001) measures, but correlations were only significant for participants that reported EMA was not burdensome. Correlations for EPD ART adherence were weaker but significant (r=0.36, P=.009; r=0.34, P=.01, respectively). Acceptability was high for EMAs (48/54, 89%) and EPDs (52/54, 96%) per self-report. Loss to follow-up was 4% (2/56), with the remaining participants completing 88.6% (1339/1512) of study-prompted EMAs. The percentage of missed EMA surveys increased from 5.8% (22/378) in week 1 of the study to 16.7% (63/378) in week 4. Of 260 days when EPDs were not opened, 68.8% (179) had a corresponding EMA survey self-reporting ART adherence. Reactivity inferred from the median change in ART adherence over time was 8.8% for EMAs and -0.8% for EPDs. Each completed EMA was associated with 1.03 odds (95% CI 1-1.07) of EMA ART adherence over time, and each day of EPD use with 0.97 odds (95% CI 0.96-0.99) of EPD ART adherence over time. Self-reported perceived behavioral reactivity was 39% for EMAs and 35% for EPDs.

Conclusions

This study provides evidence of concurrent validity with retrospective validated measures for EMA- and EPD-measured ART adherence among YLSMM, when participant burden is carefully considered, without significant behavioral reactivity. While acceptability and compliance of EMAs and EPDs were high overall, noncompliance increased over time, suggesting respondent fatigue.

Effectiveness of Digital Health Interventions in Promoting Physical Activity Among College Students: Systematic Review and Meta-Analysis

BACKGROUND

Recent studies offer conflicting conclusions about the effectiveness of digital health interventions in changing physical activity behaviors. In addition, research focusing on digital health interventions for college students remains relatively scarce.

OBJECTIVE

This study aims to examine the impact of digital health interventions on physical activity behaviors among college students, using objective measures as outcome indicators.

METHODS

In accordance with the 2020 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive literature search was conducted across several databases, including MEDLINE (PubMed), Web of Science, Cochrane Library, and EBSCO (CINAHL Plus with full text), to identify relevant intervention studies published up to June 6, 2023. The inclusion criteria specified studies that examined the quantitative relationships between digital health interventions and physical activity among adults aged 18 years to 29 years, focusing on light physical activity (LPA), moderate to vigorous physical activity (MVPA), sedentary time (ST), or steps. Non-randomized controlled trials were excluded. The quality of the studies was assessed using the Cochrane Risk of Bias tool. Results were synthesized both narratively and quantitatively, where applicable. When sufficient homogeneity was found among studies, a random-effects model was used for meta-analysis to account for variability.

RESULTS

In total, 8 studies, encompassing 569 participants, were included in the analysis. The primary outcomes measured were LPA, MVPA, ST, and steps. Among these studies, 3 reported on LPA, 5 on MVPA, 5 on ST, and 3 on steps. The meta-analysis revealed a significant increase in steps for the intervention group compared with the control group (standardized mean difference [SMD] 0.64, 95% CI 0.37-0.92; P<.001). However, no significant differences were observed between the intervention and control groups regarding LPA (SMD -0.08, 95% CI -0.32 to 0.16; P=.51), MVPA (SMD 0.02, 95% CI -0.19 to 0.22; P=.88), and ST (SMD 0.03, 95% CI -0.18 to 0.24; P=.78).

CONCLUSIONS

Digital health interventions are effective in increasing steps among college students; however, their effects on LPA, MVPA, and sedentary behavior are limited.

TRIAL REGISTRATION

PROSPERO CRD42024533180; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=533180.

Cost-effectiveness analysis of mHealth applications for depression in Germany using a Markov cohort simulation

Regulated mobile health applications are called digital health applications ("DiGA") in Germany. To qualify for reimbursement by statutory health insurance companies, DiGA have to prove positive care effects in scientific studies. Since the empirical exploration of DiGA cost-effectiveness remains largely uncharted, this study pioneers the methodology of cohort-based state-transition Markov models to evaluate DiGA for depression. As health states, we define mild, moderate, severe depression, remission and death. Comparing a future scenario where 50% of patients receive supplementary DiGA access with the current standard of care reveals a gain of 0.02 quality-adjusted life years (QALYs) per patient, which comes at additional direct costs of ~1536 EUR per patient over a five-year timeframe. Influencing factors determining DiGA cost-effectiveness are the DiGA cost structure and individual DiGA effectiveness. Under Germany's existing cost structure, DiGA for depression are yet to demonstrate the ability to generate overall savings in healthcare expenditures.

Information and Communications Technology-Based Monitoring Service for Tailored Chronic Disease Management in Primary Care: Cost-Effectiveness Analysis Based on ICT-CM Trial Results

BACKGROUND

Information and communications technology-based tailored management (TM) intervention is a novel automatic system in which a smartphone app for the management of patients with hypertension and diabetes, the provider web, and Bluetooth devices are linked. However, little evidence exists regarding the cost-effectiveness of the interventions using mobile apps.

OBJECTIVE

This study aimed to assess the cost-effectiveness of TM intervention for adult patients with hypertension or diabetes in primary care compared with usual care (UC).

METHODS

Cost-effectiveness analysis using a Markov model was conducted from the Korean health care system perspective. Based on 6-month outcome data from an information and communications technology-based tailored chronic disease management (ICT-CM) trial, effectiveness over a lifetime beyond the trial periods was extrapolated using a cardiovascular disease risk prediction model. Costs were estimated using ICT-CM trial data and national health insurance claims data. Health utility weights were obtained from the Korea National Health and Nutrition Examination Survey.

RESULTS

In the base-case analysis, compared with UC, TM was more costly (US $23,157 for TM vs US $22,391 for UC) and more effective (12.006 quality-adjusted life-years [QALYs] for TM vs 11.868 QALYs for UC). The incremental cost-effectiveness ratio was US $5556 per QALY gained. Probabilistic sensitivity analysis showed that the probability of TM being cost-effective compared with UC was approximately 97% at an incremental cost-effectiveness ratio threshold of US $26,515 (KRW 35 million) per QALY gained.

CONCLUSIONS

Compared with UC, TM intervention is a cost-effective option for patients with hypertension or diabetes in primary care settings. The study results can assist policy makers in making evidence-based decisions when implementing accessible chronic disease management services.

A Nationwide Physical Activity Intervention for 654,500 Adults in Singapore: Cost-Utility Analysis

Background

Increasing physical inactivity is a primary risk factor for diabetes and hypertension, contributing to rising health care expenditure and productivity losses. As Singapore's aging population grows, there is an increased disease burden on Singapore's health systems. Large-scale physical activity interventions could potentially reduce the disease burden but face challenges with the uncertainty of long-term health impact and high implementation costs, hindering their adoption.

Objective

We examined the cost-effectiveness of the Singapore National Steps Challenge (NSC), an annual nationwide mobile health (mHealth) intervention to increase physical activity, from both the health care provider perspective, which only considers the direct costs, and the societal perspective, which considers both the direct and indirect costs.

Methods

We used a Markov model to assess the long-term impact of increased physical activity from the NSC on adults aged 17 years and older. A Monte Carlo simulation with 1000 samples was conducted to compare two situations: the NSC conducted yearly for 10 years against a no-intervention situation with no NSC. The model projected inpatient and outpatient costs and mortality arising from diabetes and hypertension, as well as their complications. Health outcomes were expressed in terms of the quality-adjusted life-years (QALYs) gained. All future costs and QALYs were discounted at 3% per annum. Sensitivity analyses were done to test the robustness of our model results.

Results

We estimated that conducting the NSC yearly for 10 years with a mean cohort size of 654,500 participants was projected to prevent 6200 diabetes cases (95% credible interval 3700 to 9100), 10,500 hypertension cases (95% credible interval 6550 to 15,200), and 4930 deaths (95% credible interval 3260 to 6930). This led to a reduction in health care costs of SGD (Singapore dollar) 448 million (95% credible interval SGD 132 million to SGD 1.09 billion; SGD 1=US $0.73 for the year 2019). There would be 78,800 (95% credible interval 55,700 to 102,000) QALYs gained. Using a willingness-to-pay threshold of SGD 10,000 per QALY gained, the NSC would be cost-saving. When indirect costs were included, the NSC was estimated to reduce societal costs by SGD 1.41 billion (95% credible interval SGD 353 million to SGD 3.80 billion). The model was most sensitive to changes in the inpatient cost of treatment for diabetes complications, time horizon, and program compliance.

Conclusions

In this modeling study, increasing physical activity by conducting a yearly nationwide physical activity intervention was cost-saving, preventing diabetes and hypertension and reducing mortality from these diseases. Our results provide important information for decision-making in countries that may consider introducing similar large-scale physical activity programs.

Evaluation of Reporting Quality of Systematic Reviews on Health Economic Evaluation Studies Based on the CHEERS Statement: An Overview of Reviews

Background

Economic evaluations in healthcare are designed to inform decisions by the estimation of cost and effect trade-off of two or more interventions. We aimed to evaluate the standards of systematic reviews on health economic evaluation studies using the CHEERS (Consolidated Health Economic Evaluation Report Standards) tool.

Methods

We searched the PubMed database with keywords CHEERS and its complete form in combination with keywords related to cost or economic evaluation without language and time limits until November 17, 2021. The CHEERS tool was then used to include systematic reviews.

Results

Overall, 32 systematic reviews, included 610 primary studies were included. Of the 32 included studies, only 1 study (3.1%) had poor quality, 5 studies (15.6%) had good quality, remaining studies had very good and excellent quality.

Conclusion

Some studies still have problems in expressing the standards. The necessity of standards for reporting economic evaluation studies in the field of health is very serious, and Cheers is one of the most important tools.

Cost-effectiveness analysis of app-delivered self-management support (selfBACK) in addition to usual care for people with low back pain in Denmark

OBJECTIVES

This study aims to investigate the cost-effectiveness of individually tailored self-management support, delivered via the artificial intelligence-based selfBACK app, as an add-on to usual care for people with low back pain (LBP).

DESIGN

Secondary health-economic analysis of the selfBACK randomised controlled trial (RCT) with a 9-month follow-up conducted from a Danish national healthcare perspective (primary scenario) and a societal perspective limited to long-term productivity in the form of long-term absenteeism (secondary scenario).

SETTING

Primary care and an outpatient spine clinic in Denmark.

PARTICIPANTS

A subset of Danish participants in the selfBACK RCT, including 297 adults with LBP randomised to the intervention (n=148) or the control group (n=149).

INTERVENTIONS

App-delivered evidence-based, individually tailored self-management support as an add-on to usual care compared with usual care alone among people with LBP.

OUTCOME MEASURES

Costs of healthcare usage and productivity loss, quality-adjusted life-years (QALYs) based on the EuroQol-5L Dimension Questionnaire, meaningful changes in LBP-related disability measured by the Roland-Morris Disability Questionnaire (RMDQ) and the Pain Self-Efficacy Questionnaire (PSEQ), costs (healthcare and productivity loss measured in Euro) and incremental cost-effectiveness ratios (ICERs).

RESULTS

The incremental costs were higher for the selfBACK intervention (mean difference €230 (95% CI -136 to 595)), where ICERs showed an increase in costs of €7336 per QALY gained in the intervention group, and €1302 and €1634 for an additional person with minimal important change on the PSEQ and RMDQ score, respectively. At a cost-effectiveness threshold value of €23250, the selfBACK intervention has a 98% probability of being cost-effective. Analysis of productivity loss was very sensitive, which creates uncertainty about the results from a societal perspective limited to long-term productivity.

CONCLUSIONS

From a healthcare perspective, the selfBACK intervention is likely to represent a cost-effective treatment for people with LBP. However, including productivity loss introduces uncertainty to the results.

TRIAL REGISTRATION NUMBER

NCT03798288.

Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee: Developed in collaboration with the European Heart Rhythm Association (EHRA), the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC, the Heart Failure Association (HFA) of the ESC, the ESC Young Community, the ESC Working Group on e-Cardiology, the ESC Council for Cardiology Practice, the ESC Council of Cardio-Oncology, the ESC Council on Hypertension, the ESC Patient Forum, the ESC Digital Health Committee, and the European Association of Preventive Cardiology (EAPC)

Mobile health (mHealth) solutions have the potential to improve self-management and clinical care. For successful integration into routine clinical practice, healthcare professionals (HCPs) need accepted criteria helping the mHealth solutions' selection, while patients require transparency to trust their use. Information about their evidence, safety and security may be hard to obtain and consensus is lacking on the level of required evidence. The new Medical Device Regulation is more stringent than its predecessor, yet its scope does not span all intended uses and several difficulties remain. The European Society of Cardiology Regulatory Affairs Committee set up a Task Force to explore existing assessment frameworks and clinical and cost-effectiveness evidence. This knowledge was used to propose criteria with which HCPs could evaluate mHealth solutions spanning diagnostic support, therapeutics, remote follow-up and education, specifically for cardiac rhythm management, heart failure and preventive cardiology. While curated national libraries of health apps may be helpful, their requirements and rigour in initial and follow-up assessments may vary significantly. The recently developed CEN-ISO/TS 82304-2 health app quality assessment framework has the potential to address this issue and to become a widely used and efficient tool to help drive decision-making internationally. The Task Force would like to stress the importance of co-development of solutions with relevant stakeholders, and maintenance of health information in apps to ensure these remain evidence-based and consistent with best practice. Several general and domain-specific criteria are advised to assist HCPs in their assessment of clinical evidence to provide informed advice to patients about mHealth utilization.

Treating young adult cannabis use disorder with text message-delivered peer network counseling

BACKGROUND

Approximately 16.5% of U.S. young adults have a cannabis use disorder (CUD) and are at risk for negative outcomes. Treatment can reduce cannabis use, but young adults are less likely to seek help than older adults. Peer Network Counseling-txt (PNC-txt) is a brief, text-delivered, Motivational Interviewing-informed substance use intervention focusing on peer relations and activity spaces as mechanisms for behavioral change. PNC-txt has shown evidence of reducing tobacco and cannabis use with adolescents and young adults, but it has not been tested in the context of legal cannabis use. The current randomized controlled trial sought to expand the evidence regarding the context of PNC-txt effects, comparing one state in which cannabis is legal (Colorado) and one state in which it is not (Tennessee). We hypothesized that participants randomized to PNC-txt would show significant reductions in cannabis use compared to controls, with larger reductions for females and those in Colorado, and that peer relations and activity space would mediate effects.

METHODS

One thousand, seventy eight 18-25 year olds (CO: 551; TN: 527) who met screening criteria for CUD and biologically-verified cannabis use were randomly assigned to PNC-txt or waitlist control condition. Every other day for 4 weeks, participants assigned to PNC-txt received pre-programmed text conversations, tailored via data from the baseline assessment. Self-report and biological indicators of cannabis use were measured at 1-, 3-, and 6-months.

DISCUSSION

Data analysis is underway. Results will provide evidence regarding whether, and how, PNC-txt reduces cannabis use in young adults with CUD.

TRIAL REGISTRATION

This trial was prospectively registered on September 28, 2020 with ClinicalTrials.gov (NCT04567394).

Health Behavior Change Interventions Using Mobile Phones: A Meta-Analysis

The technological capabilities of mobile phones have made them a useful tool for delivering interventions, but additional research is needed to determine the mechanisms underlying the comparative effectiveness of mobile health interventions. This meta-analysis analyzes the relative effectiveness of mobile phone-based health interventions relative to comparison/control groups (e.g., eHealth interventions, standard of care, etc.), the utility of the theory of planned behavior in mobile phone-based health interventions, and the roles of various moderators. One hundred eighteen studies met inclusion criteria and contributed to an overall effect size of d = 0.27 (95% CI [.22, .32]). Findings indicate that mobile phone-based health interventions are significantly more effective than comparison/control conditions at improving health behaviors. Additionally, perceived behavioral control was a significant moderator providing some support for the usefulness of theory of planned behavior in mobile phone-based health interventions.

Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis

BACKGROUND

The widespread use of mobile technologies in health care (mobile health; mHealth) has facilitated disease management, especially for chronic illnesses such as diabetes. mHealth for diabetes is an attractive alternative to reduce costs and overcome geographical and temporal barriers to improve patients' conditions.

OBJECTIVE

This study aims to reveal the dynamics of scientific publications on mHealth for diabetes to gain insights into who are the most prominent authors, countries, institutions, and journals and what are the most cited documents and current hot spots.

METHODS

A scientometric analysis based on a competitive technology intelligence methodology was conducted. An innovative 8-step methodology supported by experts was executed considering scientific documents published between 1998 and 2021 in the Science Citation Index Expanded database. Publication language, publication output characteristics, journals, countries and institutions, authors, and most cited and most impactful articles were identified.

RESULTS

The insights obtained show that a total of 1574 scientific articles were published by 7922 authors from 90 countries, with an average of 15 (SD 38) citations and 6.5 (SD 4.4) authors per article. These documents were published in 491 journals and 92 Web of Science categories. The most productive country was the United States, followed by the United Kingdom, China, Australia, and South Korea, and the top 3 most productive institutions came from the United States, whereas the top 3 most cited articles were published in 2016, 2009, and 2017 and the top 3 most impactful articles were published in 2016 and 2017.

CONCLUSIONS

This approach provides a comprehensive knowledge panorama of research productivity in mHealth for diabetes, identifying new insights and opportunities for research and development and innovation, including collaboration with other entities, new areas of specialization, and human resource development. The findings obtained are useful for decision-making in policy planning, resource allocation, and identification of research opportunities, benefiting researchers, health professionals, and decision makers in their efforts to make significant contributions to the advancement of diabetes science.

Recommendations for the Development of Psychological Smartphone Applications in the Context of Bariatric Surgery: Focus Groups with Professionals and Patients

To explore the experiences and preferences of patients and healthcare professionals regarding the development of an app to provide psychological intervention to improve emotion regulation in the context of bariatric surgery (BS). Sixteen people (6 patients who underwent BS and 10 professionals) participated in two separate focus group sessions. We performed a content analysis of transcribed focus group discussions to extract and organize categories, subcategories and areas. Both sets of stakeholders provided information about how to develop and implement an app. According to participants' comment, content should include information (i.e., nutrition, exercise) and emotional regulation skills. Patients and professionals mentioned that the app should include visual information, continuous emotional assessments and peer contact. It was also mentioned that the app should be used before and after BS and its contents should be developed by a multidisciplinary team (i.e., collaboration of endocrinologist, nutritionists and psychologists). Participants in both focus groups considered technology to be useful in the context of BS, especially as part of blended interventions (combining face-to-face and online sessions). Patients and professionals seem to be receptive towards the use of technology in a BS context. Specific recommendations are identified for designing and implementing app solutions for BS. More efforts should be made in the future to develop and implement evidence-based apps according to patients and professionals' needs.

A longitudinal study of a mHealth app and regional policies on the uptake of postpartum depression referral after positive screening in Shenzhen

BACKGROUND

Postpartum depression (PPD) has received widespread attention. Shenzhen has been running a large-scale program for PPD since 2013. The program requires mothers to self-assess when applying information technology to PPD screening beginning in 2021. The purpose of this study was to conduct a longitudinal analysis of the impact of mHealth apps on the health-seeking behaviors of PPD patients.

METHODS

Longitudinal data from districts in the Shenzhen Maternal and Child Health Management Information System (MCHMIS) for ten years was used in this study. Referral success rate (RSR, successful referrals to designated hospitals as a percentage of needed referrals) was used to assess health-seeking behavior. Trend χ2 tests were used to assess the overall trend of change after the implementation of mHealth in ten districts in Shenzhen. Interrupted Time Series Analysis (ITSA) was employed to assess the role of the mHealth app in changing patient health-seeking behaviors.

RESULTS

For the results of the trend χ2 tests, the ten districts of Shenzhen showed an upward trend. For the ITSA results, different results were shown between districts. Nanshan district, Longhua district, and Longgang district all demonstrated an upward trend in the first-year application of the mHealth app. Nanshan district and Longgang district both exhibited an upward trend in terms of sustained effects.

CONCLUSIONS

There is a difference in the performance of the mHealth app across the ten districts. The results show that the three districts with better health resource allocation, Nanshan, Longgang, and Longhua districts, demonstrated more significant mHealth app improvements. The mHealth app's functions, management systems, and health resource allocation may be potential factors in the results. This suggests that when leveraging mHealth applications, the first step is to focus on macro-level area resource allocation measures. Secondly, there should be effective process design and strict regulatory measures. Finally, there should also be appropriate means of publicity.

Connecting Female Entertainment Workers in Cambodia to Health Care Services Using mHealth: Economic Evaluation of Mobile Link

BACKGROUND

Mobile Link is a mobile phone-based intervention to increase access to, and use of, health care services among female entertainment workers in Cambodia who face higher risks for specific diseases and gender-based violence. A multisite randomized controlled trial showed that Mobile Link connected female entertainment workers with outreach workers for information and escorted referrals after 6 months but did not lead to statistically significant improvements in HIV and sexually transmitted infection testing, contraceptive use, and condom use.

OBJECTIVE

This study aims to conduct a 3-part economic evaluation of Mobile Link to understand its costs, value, and affordability.

METHODS

We conducted cost, cost-effectiveness, and budget impact analyses of Mobile Link using cost and outcomes data from the Mobile Link trial and other sources. For the cost analysis, we estimated the total, per-person, and incremental costs of Mobile Link compared with usual care. Using probabilistic decision-analytic models, we estimated the 1-year cost-effectiveness of Mobile Link from payer and combined payer and patient perspectives by converting selected primary and secondary outcomes from the trial to disability-adjusted life years (DALYs) averted. Finally, we estimated the financial costs of scaling up Mobile Link's messaging and outreach services to 70% of female entertainment workers in 5 years.

RESULTS

The incremental costs of Mobile Link were US $199 from a payer perspective and US $195 per person from a combined payer and patient perspective. With an average of 0.018 (95% predicted interval -0.088 to 0.126) DALYs averted, Mobile Link's cost-effectiveness was US $10,955 per DALY from a payer perspective (US $10,755 per DALY averted from a payer and patient perspective). The costs of Mobile Link would have to decrease by 85%, or its effectiveness would have to be 5.56 times higher, for the intervention to meet the upper limit of recommended cost-effectiveness thresholds in Cambodia (US $1671 per DALY averted). The 5-year cost of scaling Mobile Link to 34,790 female entertainment workers was estimated at US $1.64 million or US $46 per person per year.

CONCLUSIONS

This study provided a comprehensive economic evaluation of Mobile Link. We found that Mobile Link is not likely to be cost-effective unless its costs decrease or its effectiveness increases. Scaling up Mobile Link to more female entertainment workers is estimated to cost less than the costs of the trial. Given the importance of linking female entertainment workers to essential services, future research should focus on enhancing the effectiveness of Mobile Link or developing new mobile health interventions for this population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03117842; https://clinicaltrials.gov/study/NCT03117842.

Reach, Acceptability, and Patient Preferences of a Mobile Health-Based Survey to Assess COVID-19 Vaccine Hesitancy Among Patients Receiving Dialysis

Rationale & Objective

The majority of patients with kidney failure receiving dialysis own mobile devices, but the use of mobile health (mHealth) technologies to conduct surveys in this population is limited. We assessed the reach and acceptability of a short message service (SMS) text message-based survey that assessed coronavirus disease 2019 (COVID-19) vaccine hesitancy among patients receiving dialysis.

Study Design & Exposure

A cross-sectional SMS-based survey conducted in January 2021.

Setting & Participants

Patients receiving in-center hemodialysis, peritoneal dialysis, or home hemodialysis in a nonprofit dialysis organization in New York City.

Outcomes

(1) Reach of the SMS survey, (2) Acceptability using the 4-item Acceptability of Intervention Measure, and (3) Patient preferences for modes of survey administration.

Analytical Approach

We used Fisher exact tests and multivariable logistic regression to assess sociodemographic and clinical predictors of SMS survey response. Qualitative methods were used to analyze open-ended responses capturing patient preferences.

Results

Among 1,008 patients, 310 responded to the SMS survey (response rate 31%). In multivariable adjusted analyses, participants who were age 80 years and above (aOR, 0.49; 95% CI, 0.25-0.96) were less likely to respond to the SMS survey compared with those aged 18 to 44 years. Non-Hispanic Black (aOR, 0.58; 95% CI, 0.39-0.86), Hispanic (aOR, 0.31; 95% CI, 0.19-0.51), and Asian or Pacific Islander (aOR, 0.46; 95% CI, 0.28-0.74) individuals were less likely to respond compared with non-Hispanic White participants. Participants residing in census tracts with higher Social Vulnerability Index, indicating greater neighborhood-level social vulnerability, were less likely to respond to the SMS survey (fifth vs first quintile aOR, 0.61; 95% CI, 0.37-0.99). Over 80% of a sample of survey respondents and nonrespondents completely agreed or agreed with the Acceptability of Intervention Measure. Qualitative analysis identified 4 drivers of patient preferences for survey administration: (1) convenience (subtopics: efficiency, multitasking, comfort, and synchronicity); (2) privacy; (3) interpersonal interaction; and (4) accessibility (subtopics: vision, language, and fatigue).

Limitations

Generalizability, length of survey.

Conclusions

An SMS text message-based survey had moderate reach among patients receiving dialysis and was highly acceptable, but response rates were lower in older (age ≥ 80), non-White individuals and those with greater neighborhood-level social vulnerability. Future research should examine barriers and facilitators to mHealth among patients receiving dialysis to ensure equitable implementation of mHealth-based technologies.

Availability of published evidence on coverage, cost components, and funding support for digitalisation of infectious disease surveillance in Africa, 2003-2022: a systematic review

BACKGROUND

The implementation of digital disease surveillance systems at national levels in Africa have been challenged by many factors. These include user applicability, utility of IT features but also stable financial support. Funding closely intertwines with implementations in terms of geographical reach, disease focus, and sustainability. However, the practice of evidence sharing on geographical and disease coverage, costs, and funding sources for improving the implementation of these systems on the continent is unclear.

OBJECTIVES

To analyse the key characteristics and availability of evidence for implementing digital infectious disease surveillance systems in Africa namely their disease focus, geographical reach, cost reporting, and external funding support.

METHODS

We conducted a systematic review of peer-reviewed and grey literature for the period 2003 to 2022 (PROSPERO registration number: CRD42022300849). We searched five databases (PubMed, MEDLINE over Ovid, EMBASE, Web of Science, and Google Scholar) and websites of WHO, Africa CDC, and public health institutes of African countries. We mapped the distribution of projects by country; identified reported implementation cost components; categorised the availability of data on cost components; and identified supporting funding institutions outside Africa.

RESULTS

A total of 29 reports from 2,033 search results were eligible for analysis. We identified 27 projects implemented in 13 countries, across 32 sites. Of these, 24 (75%) were pilot projects with a median duration of 16 months, (IQR: 5-40). Of the 27 projects, 5 (19%) were implemented for HIV/AIDs and tuberculosis, 4 (15%) for malaria, 4 (15%) for all notifiable diseases, and 4 (15%) for One Health. We identified 17 cost components across the 29 reports. Of these, 11 (38%) reported quantified costs for start-up capital, 10 (34%) for health personnel compensation, 9 (31%) for training and capacity building, 8 (28%) for software maintenance, and 7(24%) for surveillance data transmission. Of 65 counts of external funding sources, 35 (54%) were governmental agencies, 15 (23%) foundations, and 7 (11%) UN agencies.

CONCLUSIONS

The evidence on costing data for the digitalisation of surveillance and outbreak response in the published literature is sparse in quantity, limited in detail, and without a standardised reporting format. Most initial direct project costs are substantially donor dependent, short lived, and thus unsustainable.

Evaluation of effectiveness and acceptability of a psychological treatment for smoking cessation combined with a smartphone App: A pilot study

Despite the increasing number of mobile-based interventions to quit smoking over the last years, few studies have investigated the efficacy of smoking cessation interventions blended with smartphone Apps. The present pilot study aims to examine the preliminary effectiveness and acceptability of a cognitive-behavioral treatment combined with a smartphone App, compared to the same psychological treatment without the App. The sample comprised 206 treatment-seeking smokers, who were assigned to: 1) an experimental group receiving a cognitive-behavioral intervention combined with the "Non Fumo" App (n = 102), and 2) a control group receiving only the cognitive-behavioral intervention to quit smoking (n = 104). Results concerning the primary outcomes showed no significant differences between conditions in point-prevalence abstinence rates at 12-month follow-up (35.30 % in the experimental group vs. 31.70 % in the control group) and in treatment acceptability. Regarding the secondary outcomes, both groups obtained similar point-prevalence abstinence rates at the end of treatment (61.80 % vs. 65.40 %), at 3-month (42.20 % vs. 45.20 %, respectively) and 6-month follow-ups (37.30 % vs. 37.50 %). No significant differences were found between conditions in prolonged abstinence rates at 6-month (35.3 % vs. 35.6 %) and 12-month follow-ups (30.4 % vs. 26.9 %). Overall, good abstinence rates and treatment acceptability were obtained, although there were no significant differences between conditions. More research is needed to establish clear conclusions about the efficacy of psychological smoking cessation treatments blended with smartphone Apps.

Application of the participatory design in the testing of a baropodometric insole prototype for weight-bearing asymmetry after a stroke: A qualitative study

Introduction

Currently studies indicate the need to incorporate the user`s perspective in the testing of new assistive technologies. The objective of this paper is to test a baropodometric insole prototype for monitoring and treatment weight-bearing asymmetry, according to the Participatory Design.

Methods

We used a qualitative case study approach during the testing phase of the baropodometric insole prototype. The focus group approach addressed topics related to the experience and accessibility of the potential user in conjunction with professionals, researchers, and physiotherapy students. Facilitators, barriers, and requirements for the device were collected through audio recordings of the discussions during and after prototype testing.

Results

Key steps in the prototype testing process were divided into (1) Test of the prototype according to the Participatory Design, divided into Who, When, How, and Why the potential user was involved in the study; and (2) Facilitators, barriers and requirements to improve the prototype.

Conclusions

The baropodometric insole prototype can be seen as a promising device for monitoring and treating weight-bearing asymmetry.

A fusion architecture to deliver multipurpose mobile health services

Mobile Health (mHealth) services typically make use of customized software architectures, leading to development-dependent fragmentation. Nevertheless, irrespective of their specific purpose, most mHealth services share common functionalities, where standard pieces could be reused or adapted to expedite service deployment and even extend the follow-up of appearing conditions under the same service. To harness compatibility and reuse, this article presents a data fusion architecture proposing a common design framework for mHealth services. An exhaustive mapping of mHealth functionalities identified in the literature serves as starting point. The architecture is then conceptualized making use of the Joint Directors of Laboratories (JDL) data fusion model. The aim of the architecture is to exploit the multi-source data acquisition capabilities supported by smartphones and Internet of Things devices, and artificial intelligence-enabled feature fusion. A series of interconnected fusion layers ensure streamlined data management; each layer is composed of microservices which may be implemented or omitted depending on the specific goals of the healthcare service. Moreover, the architecture considers essential features related to authentication mechanisms, data sharing protocols, practitioner-patient communication, context-based notifications and tailored visualization interfaces. The effectiveness of the architecture is underscored by its instantiation for four real cases, encompassing risk assessment for youth with mental health issues, remote monitoring for SARS-CoV-2 patients, liquid intake control for kidney disease patients, and peritoneal dialysis treatment support. This breadth of applications exemplifies how the architecture can effectively serve as a guidance framework to accelerate the design of mHealth services.

Change in Adolescents' Perceived ADHD Symptoms Across 17 Days of Ecological Momentary Assessment

OBJECTIVE

To test whether adolescents' perceived ADHD symptoms may improve while monitoring them throughout the day.

METHOD

In a sample of 90 adolescents (Mage = 14.7; 66% boys, 34% girls; 76.7% White, 13.3% Black or African American, 8.9% more than one race, 1.1% "other") treated for ADHD by their pediatricians, this study examined: (1) whether self-rated ADHD symptoms decreased across 17 days of 4 times daily ecological momentary assessment (EMA) of symptoms and (2) whether completing versus missing an EMA survey was associated with lower self-rated ADHD symptoms in the subsequent hours.

RESULTS

Multilevel regression analyses showed that, on average, adolescents' perceived ADHD symptoms (inattention, hyperactivity, impulsivity, and total across domains) decreased across 17 days of EMA. Within person, symptoms were lower following completed versus missed EMA surveys. Significant moderating effects showed that the effect of completing the prior EMA survey weakened across the day and over the course of the 17 days.

CONCLUSIONS

This study is the first to document acute improvements in self-rated ADHD symptoms using EMA in adolescents' naturalistic environments. Symptom monitoring throughout the day may help adolescents improve their day-to-day ADHD, at least acutely, and holds promise as one component of mobile-health ADHD interventions.

An mHealth Intervention Promoting Physical Activity and Healthy Eating in a Family Setting (SMARTFAMILY): Randomized Controlled Trial

BACKGROUND

Numerous smartphone apps are targeting physical activity (PA) and healthy eating (HE), but empirical evidence on their effectiveness for the initialization and maintenance of behavior change, especially in children and adolescents, is still limited. Social settings influence individual behavior; therefore, core settings such as the family need to be considered when designing mobile health (mHealth) apps.

OBJECTIVE

The purpose of this study was to evaluate the effectiveness of a theory- and evidence-based mHealth intervention (called SMARTFAMILY [SF]) targeting PA and HE in a collective family-based setting.

METHODS

A smartphone app based on behavior change theories and techniques was developed, implemented, and evaluated with a cluster randomized controlled trial in a collective family setting. Baseline (t0) and postintervention (t1) measurements included PA (self-reported and accelerometry) and HE measurements (self-reported fruit and vegetable intake) as primary outcomes. Secondary outcomes (self-reported) were intrinsic motivation, behavior-specific self-efficacy, and the family health climate. Between t0 and t1, families of the intervention group (IG) used the SF app individually and collaboratively for 3 consecutive weeks, whereas families in the control group (CG) received no treatment. Four weeks following t1, a follow-up assessment (t2) was completed by participants, consisting of all questionnaire items to assess the stability of the intervention effects. Multilevel analyses were implemented in R (R Foundation for Statistical Computing) to acknowledge the hierarchical structure of persons (level 1) clustered in families (level 2).

RESULTS

Overall, 48 families (CG: n=22, 46%, with 68 participants and IG: n=26, 54%, with 88 participants) were recruited for the study. Two families (CG: n=1, 2%, with 4 participants and IG: n=1, 2%, with 4 participants) chose to drop out of the study owing to personal reasons before t0. Overall, no evidence for meaningful and statistically significant increases in PA and HE levels of the intervention were observed in our physically active study participants (all P>.30).

CONCLUSIONS

Despite incorporating behavior change techniques rooted in family life and psychological theories, the SF intervention did not yield significant increases in PA and HE levels among the participants. The results of the study were mainly limited by the physically active participants and the large age range of children and adolescents. Enhancing intervention effectiveness may involve incorporating health literacy, just-in-time adaptive interventions, and more advanced features in future app development. Further research is needed to better understand intervention engagement and tailor mHealth interventions to individuals for enhanced effectiveness in primary prevention efforts.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00010415; https://drks.de/search/en/trial/DRKS00010415.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/20534.

"We have been so patient because we know where we are coming from" Exploring the acceptability and feasibility of a mobile electronic medical record system designed for community-based antiretroviral therapy in Lilongwe, Malawi

Background

Mobile health (mHealth) is reshaping healthcare delivery, especially in HIV management. The World Health Organization advocates for mHealth to provide healthcare workers (HCWs) with real-time data, enhancing patient care. However, in Malawi's Lighthouse Trust antiretroviral therapy (ART) clinic, the nurse-led community-based ART (NCAP) program faces hurdles with data management due to lack of access to electronic medical records systems (EMRS) in the community setting. EMRS is not typically available in differentiated service delivery settings where reliable power and internet are often unavailable. We used human-centered design (HCD) processes to create a mobile EMRS prototype, the Community-based ART Retention and Suppression (CARES) app. We explore progress to simplify workflow for HCWs and improve client care.

Methods

To evaluate the CARES app's feasibility and acceptability among NCAP HCWs, we conducted in-depth interviews among 15 NCAP HCWs. We used a rapid qualitative analysis approach guided by the extended Technology Acceptance Model. The study complied with the Consolidated Criteria for Reporting Qualitative Research (COREQ).

Results

As a likely result of HCD, HCWs demonstrated high expectations for the CARES app to improve healthcare delivery and data management. However, challenges such as app performance, data integration, and system navigation were significant barriers to acceptance or feasibility. Despite challenges, HCWs remained optimistic about the potential for CARES to enhance NCAP clinical decision-making and data flow. HCWs emphasized the need for continuous training and stakeholder engagement, improved infrastructure, data security protections, and establishing the CARES app and EMRS integration to facilitate CARES' longterm success at scale.

Conclusion

The study's findings underscore the importance of HCD for mHealth buy-in. As HCWs were invested in CARES success, they remained optimistic that the app could enhance NCAP services if user experience and app performance improved. Incorporation of HCW feedback would help deliver beyond the promise of CARES.

Cost of Implementing mHealth in Community Mental Health Settings: External Versus Internal Facilitation

OBJECTIVE

This study aimed to compare the costs of two implementation models for the mobile health (mHealth) intervention FOCUS in community mental health settings. The external facilitation (EF) approach uses a hub-and-spoke model, in which a central specialist provides support to clinicians and clients at multiple agencies. With the internal facilitation (IF) approach, frontline clinical staff at each center are trained to serve as their organization's local specialists.

METHODS

Financial and economic cost data were collected in the context of a hybrid type 3 effectiveness-implementation trial by using a mixed-methods, top-down expenditure analysis with microcosting approaches. The analysis compared the incremental costs of both models and the costs of successfully engaging clients (N=210) at 20 centers. Costs were characterized as start-up or recurrent (personnel, supplies, contracted services, and indirect costs).

RESULTS

The average annual financial cost per site was $23,517 for EF and $19,118 for IF. EF yielded more FOCUS users at each center, such that the average monthly financial costs were lower for EF ($167 per client [N=129]) than for IF ($177 per client [N=81]). When using a real-world scenario based on economic costs and a lower organizational indirect rate, the average monthly cost per client was $73 for EF and $59 for IF. Both models reflected substantial cost reductions (about 50%) relative to a previous deployment of FOCUS in a clinical trial.

CONCLUSIONS

Compared with IF, EF yielded more clients who received mHealth at community mental health centers and had comparable or lower costs.

Impact of digital services on healthcare and social welfare: An umbrella review

BACKGROUND

Digital services can be effective and cost-efficient options for treating non-communicable diseases, but generalizability is limited due to heterogeneous treatment effects. This umbrella review aims to evaluate the impact of digital services on population health, costs, and patient and healthcare professional satisfaction, and to identify facilitators and barriers to using digital services in healthcare and social welfare.

METHODS

The protocol of the study was registered on the 4th of September 2022 to the International Prospective Register of Systematic Reviews, PROSPERO (CRD42022355635). The review was performed using the Centre for Reviews and Dissemination, Cochrane, Ovid Medline, Scopus, and Web of Science in June 2022. The methodological quality of the included reviews was assessed. The impact of digital services was categorized as no evidence, no dominance, and mixed and positive effect. Inductive content analysis was used to identify facilitators and barriers.

RESULTS

A total of 66 studies were included in the review, 64 % of which were evaluated as high quality. Studies on the impact of digital services in social welfare were not identified. Sixty-five percent of reviews evaluated the impact of digital services on population health with mixed effects; 21 % were on costs with mixed effects; 27 % were on patient satisfaction with positive effects; and 7.6 % were on healthcare professionals' satisfaction with mixed effects. Various features, allocation, end-user support, organized services, and service development facilitated the use of digital services. Correspondingly, barriers were related to service limitations, digital competency, funding- and service strategies, resources and change management.

CONCLUSIONS

Compared to usual care, digital services had a mixed impact on population health and costs with high satisfaction in patients. Mixed healthcare professionals' satisfaction was associated with the use of digital services, and it was less studied. To ensure successful implementation and sustainability of digital services, attention must be paid to address barriers and supporting facilitators at all levels.

AVIP Project (Prosthetic Virtual Friend): Study of clinical-functional outcomes and satisfaction with a mobile application in the perioperative management and follow-up of hip arthroplasty

OBJECTIVE

To analyze the clinical, quality of life, and healthcare quality outcomes obtained in a series of patients undergoing total hip arthroplasty (THA), who were empowered and monitored using the AVIP application. These results will be compared with a control group followed through a standard protocol.

MATERIAL AND METHOD

Randomized clinical trial with parallel groups involving patients with an indication for THA. Clinical variables were measured and compared using the WOMAC and mHHS, pain assessed by the VAS, quality of life with the SF-12 test. Walking capabilities were analyzed using the Functional Gait Assessment Scale, along with satisfaction levels assessed through the SUCE questionnaire, and perceived anxiety levels related to the process.

RESULTS

A total of 68 patients were evaluated, with 31 patients in the AVIP group and 33 in the Control group completing the follow-up. Both groups demonstrated improvement in clinical outcomes based on the WOMAC and mHHS hip tests, a reduction in perceived pain, and an enhancement in quality of life according to the SF-12 test. Patients in the AVIP study group exhibited non-inferiority in clinical outcomes and satisfaction compared to the control group, as well as lower anxiety levels and improved walking capabilities after the first month of follow-up. Notably, 82.25% of the follow-up visits for this group were conducted remotely.

CONCLUSION

The implementation of a mHealth application like AVIP can be safely offered to selected patients undergoing hip arthroplasty, enabling effective monitoring and providing continuous information and training.

Feasibility and utility of mobile health interventions for depression and anxiety in rural populations: A scoping review

Despite the potential of mobile health (mHealth) to address high rates of depression and anxiety in underserved rural communities, most mHealth interventions do not explicitly consider the realities of rural life. The aim of this scoping review is to identify and examine the available literature on mHealth interventions that consider the needs of rural populations in order to gauge their feasibility and utility for addressing depression and anxiety. Additionally, we provide an overview of rural users' perceptions about and preferences for mHealth-delivered mental health screening and intervention systems. Out of 169 articles identified, 16 met inclusion criteria. Studies were conducted across a wide range of countries, age groups, and rural subpopulations including individuals with bipolar disorder, anxiety, perinatal depression, PTSD, and chronic pain, as well as refugees, veterans, and transgender and LGBTQ+ individuals. All interventions were in the feasibility/acceptability testing stage for rural users. Identified strengths included their simplicity, accessibility, convenience, availability of support between sessions with providers, and remote access to a care team. Weaknesses included problems with charging phone batteries and exceeding data limits, privacy concerns, and general lack of comfort with app-based support. Based upon this review, we provide recommendations for future mHealth intervention development including the value of developer-user coproduction methods, the need to consider user variation in access to and comfort with smartphones, and potential data or connectivity limitations, mental health stigma, and confidentiality concerns in rural communities.

Building Pandemic-Resilient Primary Care Systems: Lessons Learned From COVID-19

On January 30, 2023, the Biden Administration announced its intention to end the existing COVID-19 public health emergency declaration. The transition to a "postpandemic" landscape presents a unique opportunity to sustain and strengthen pandemic-era changes in care delivery. With this in mind, we present 3 critical lessons learned from a primary care perspective during the COVID-19 pandemic. First, clinical workflows must support both in-person and internet-based care delivery. Second, the integration of asynchronous care delivery is critical. Third, planning for the future means planning for everyone, including those with potentially limited access to health care due to barriers in technology and communication. While these lessons are neither unique to primary care settings nor all-encompassing, they establish a grounded foundation on which to construct higher-quality, more resilient, and more equitable health systems.

The Role of Mobile Health Technology in Perioperative Spinal Care: A Systematic Scoping Review and Narrative Synthesis

Smartphone applications play a crucial role in contemporary healthcare by aiming to enhance patient care through technology. Mobile health (mHealth) applications have proven to have transformative potential in enhancing patients' outcomes in candidates undergoing orthopedic and spinal surgery. In the context of the pervasive use of smartphones and the exponential growth of mHealth apps, totaling over 99,000 in 2021, the applications had a significant impact on lifestyle management, supporting initiatives like smoking cessation with motivational reminders and progress tracking. Patient compliance is significantly enhanced, reducing surgery cancellations and improving outcomes through effective adherence to pre-operative treatments and instructions. Physiotherapy receives a substantial boost as mHealth facilitates video-guided exercises, potentially improving compliance and treatment outcomes. Data collection takes on innovative dimensions, with mHealth apps capturing post-operative metrics like physical activity, offering valuable insights into patient recovery trends. Remote care is streamlined through features like photo uploads and direct messaging, proving especially beneficial in times of crises such as the COVID-19 pandemic. Despite these merits, challenges emerge, including issues related to technological literacy, potential discrimination due to paywalls, and concerns about patient data confidentiality. Overcoming these challenges requires standardized approaches, legislative measures, and ongoing research to refine and optimize mHealth applications for diverse healthcare settings.

An in-person and technology-implemented holistic health promotion program for older Black adults in low-income communities

The COVID-19 pandemic halted many in-person programs of research and required researchers to pivot to technology-enhanced approaches. To date, there are no examples or guidelines on how to use technology to implement health promotion programs rooted in the community-based participatory research (CBPR) model among low-income older Black adults. The aims of this paper are (a) to describe and report on the health-related outcomes of an in-person CBPR model-based health promotion intervention program for older Black adults in a low-income community, and (b) to describe the process of adapting this program to a technology-enhanced and Zoom-delivered format and provide preliminary evidence on the health-related outcomes and acceptability of this program. This paper highlights the potential benefits of a technology-enhanced and Zoom-delivered health promotion program among low-income older Black adults and provides recommendations to optimize such efforts to foster these benefits. These recommendations are aligned with the four domains of the CBPR model (i.e., contexts, partnership processes, intervention and research, and outcomes). We conclude that CBPR model-based, technology implemented health promotion interventions for low-income older Black adults are acceptable to such adults and should attend to the values, perspectives, and preferences of these individuals. The information in this manuscript is relevant to health promotion specialists at this seemingly ongoing though post-pandemic era because technology-enhanced interventions are scalable and cost-effective and those anchored in CBPR are well-positioned to promote health equity.

Understanding mHealth Adoption and Lifestyle Improvement: An Empirical Test of the Antecedents and Mediating Mechanisms

The potential of using mobile phones for health care service delivery has been well acknowledged. Despite that mobile health (mHealth) related research has proliferated in the past decade, mHealth is still in the fledgling stage with a low adoption rate. There is a research gap in understanding factors influencing mHealth adoption and examining the effects of mHealth use on health outcomes. The purpose of this study was thus to explore influential factors of mHealth use, and test mediation pathways through which mHealth use impacts healthy lifestyle behaviors (e.g. sleep, exercise, and social participation). Survey results from 432 online participants illustrate that performance expectancy, social influence, support conditions, and perceived reliability were significantly associated with mHealth use. However, the impact of effort expectancy on mHealth use was statistically nonsignificant. Moreover, the results indicate that mHealth use can not only contribute to the improvement of healthy lifestyle behaviors directly but also exert an impact through the mediating effect of health competence. Knowing what factors motivate people's mHealth use and how mHealth use contributes to lifestyle improvement can help trigger interventions to boost mHealth adoption and improve public health. Implications and limitations are discussed.

Engagement and Resource Considerations in Developing and Implementing Mobile Health Technologies for COVID-19 Pandemic: Filipino Developers' Perspectives

Objective

This paper aims to provide a better understanding of the different engagement, cost, and resource considerations in developing and implementing mHealth solutions in the Philippines during the COVID-19 pandemic.

Methods

First, six participants completed a form to document the estimated costs of developing a pseudo mobile application with features to mitigate the pandemic. Second, ten key informant interviews determined the facilitators, barriers, and resource requirements in developing mHealth tools.

Results

The average cost estimate to develop and roll out a mobile application with public health and epidemiology features is Php 4,018,907 (US $78,650). The analysis of the interviews resulted in 12 themes organized in three domains: 1) facilitators and barriers in developing and sustaining mHealth solutions; 2) costs of sustaining mHealth technologies; and 3) factors affecting the costs of development and maintenance of mHealth technologies.

Conclusion

While differences in the cost estimates are evident, it provides a ballpark figure and the different factors that implementers need to sustain and maintain an mHealth solution. This paper hopes to inform policies and practices in engaging technology solution partners and in scaling up mHealth technologies.

Problems and Opportunities of a Smartphone-Based Care Management Platform: Application of the Wald Principles to a Survey-Based Analysis of Patients' Perception in a Pilot Center

(1) Background: Mobile health (mHealth) solutions can become a means of improving functional recovery and reducing the peri-operative burden and costs associated with arthroplasty procedures. The aim of this study is to explore the objectives, functionalities, and outcomes of a platform designed to provide personalized surgical experiences to qualified patients, along with the associated problems and opportunities. (2) Methods: A survey-based analysis was conducted on patients who were prescribed the use of a specific care management platform and underwent primary robotic total knee arthroplasty (rTKA) between January 2021 and February 2023. (3) Results: Patients registered on the platform who have undergone primary robotic TKA (rTKA) were considered. The mean age of registered patients is 68.6 years. The male (M)/female (F) ratio is 45.1%/54.9%. The patients interviewed were at an average distance of 485 days from the intervention, with a standard deviation of 187.5. The survey highlighted appreciation for the app and its features, but also limitations in its use and in its perception by the patients. All these data were evaluated according to the Wald principles and strategies to improve patient recruitment, enhance adherence, and create a comprehensive patient journey for optimized surgical experiences. (4) Conclusions: This patient care platform may have the potential to impact surgical experiences by increasing patient engagement, facilitating remote monitoring, and providing personalized care. There is a need to emphasize the importance of integrating the recruiting process, improving adherence strategies, and creating a comprehensive patient journey within the platform.

Needs for mobile and internet-based psychological intervention in patients with self-injury and suicide-related behaviors: a qualitative systematic review

BACKGROUND

In recent years, mobile psychological interventions have proven effective in reducing self-injury and suicide-related behaviors. Therefore, it is essential to continually enhance the user experience and address patients' needs to facilitate the development of mobile mental health interventions. Identifying patients with mobile mental health needs can be challenging for mental health professionals. To address this, we conducted a systematic review of qualitative research to synthesize the needs of patients engaged in self-injury and suicide-related behaviors for mobile and internet-based psychological interventions.

METHODS

This study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement (PRISMA) and the Enhancing Transparency in Reporting the Synthesis of Qualitative Research statement (ENTREQ). We explored 11 databases and synthesized the results using thematic analysis.

RESULTS

Sixteen qualitative and mixed-method studies were included. The study found that the needs of patients with self-injury and suicide-related behaviors for mobile psychological intervention included therapy, technology, culture, privacy, communication, emotional support, personalization, and self-management. Consistent with the Technology Acceptance Model (TAM), the needs of patients with self-injury and suicide-related behaviors are influenced by the perceived ease of use and perceived usefulness of the mobile intervention. However, the findings also highlight the importance and unmet needs of peer support, communication, self-management, and empowerment in using mobile psychological interventions for patients with self-injury and suicide-related behaviors.

CONCLUSIONS

Studies in this area have shown that the needs of patients with self-harm and suicide-related behaviors cover multiple stages, including basic therapeutic and technical needs and advanced emotional needs. This complexity makes it challenging to address the needs of patients engaged in self-injury and suicide-related behaviors through digital interventions. In the future, mental health professionals should be encouraged to participate in multidisciplinary collaborations to expand the use of digital interventions, enhancing remote self-management for patients and providing new strategies for the ongoing care of psychiatric patients. We registered the review protocol on PROSPERO (CRD42022324958).

Towards a self-applied, mobile-based geolocated exposure therapy software for anxiety disorders: SyMptOMS-ET app

Objective

While exposure therapy (ET) has the potential to help people tolerate intense situation-specific emotions and change avoidance behaviours, no smartphone solution exists to guide the process of in-vivo ET. A geolocation-based smartphone software component was designed and developed to instrumentalize patient guidance in in-vivo ET and its psychological validity was assessed by a group of independent psychology experts.

Methods

A team of computer scientists and psychologists developed the ET Component for in-vivo ET using geolocation-based technology, following the process-centred design methodology. The ET Component was integrated into the SyMptOMS-ET Android application, which was developed following the co-design methodology. Next, nine independent psychology experts tested and evaluated the ET Component and the SyMptOMS-ET app in the field, following the think-aloud methodology. Participants also completed the Mobile Application Rating Scale (MARS) instrument to quantitatively evaluate the solutions.

Results

We present the SyMptOMS-ET app's main features and the ET Component exposure workflow. Next, we discuss the feedback obtained and the results of the MARS instrument. Participants who tested the app were satisfied with the ET Component during exposure scenarios (score of μ 4.32 out of 5 [ σ 0.28] on MARS quality aspects), agreed on the soundness of the theoretical foundations of the solutions developed (score of μ 4.57 [ σ 0.48] on MARS treatment support aspects), and provided minor think-a-loud comments to improve them.

Conclusions

The results of the expert evaluation demonstrate the psychological validity of the ET Component and the SyMptOMS-ET app. However, further studies are needed to discern the acceptability and efficacy of the mHealth tool in the target population.

Let's call! Using the phone to increase vaccine acceptance

In the context of the COVID-19 pandemic, we develop and test experimentally three phone-based interventions to increase vaccine acceptance in Mozambique. The first endorses the vaccine with a simple positive message. The second adds the activation of social memory on the country's success in eradicating wild polio with vaccination campaigns. The third further adds a structured interaction with the participant to develop a critical view toward misleading information and minimize the sharing of fake news. We find that combining the endorsement with the stimulation of social memory and the structured interaction increases vaccine acceptance and trust in institutions.

Adapting a pregnancy app (HealthyMoms) to support healthy habits in migrant women-a qualitative study on women's preferences and perceived needs to support health behaviors during pregnancy

Background

Healthy lifestyle behaviors in pregnancy are important for maternal and offspring health. Mobile health (mHealth) tools have potential to provide support for lifestyle behaviors at scale but such tools are commonly developed only in native languages, limiting reach in migrant populations.

Objectives

This qualitative study, in two of the largest migrant populations in Sweden (Arabic- and Somali-speaking women), aimed to explore (a) perceptions and needs of knowledge and support related to pregnancy and lifestyle behaviors and (b) needs of and attitudes towards a pregnancy app and how features and content in the app can be adapted to support healthier lifestyle behaviors in migrant women.

Method

Individual semi-structured interviews were conducted with Arabic (n = 10) and Somali-speaking women (n = 9). Data was analyzed using content analysis (inductive latent approach).

Results

Arabic- and Somali-speaking women described an increased need of knowledge regarding pregnancy and lifestyle behaviors. The social environment could both motivate behavior change and be a source of misinformation. Women expressed great trust in maternity healthcare but requested more information related to lifestyle behaviors. A pregnancy app was perceived as a helpful tool to support healthy lifestyle behaviors. Mere translations were suggested to be valuable, however, audio- and video-format to deliver content and inclusion of women's partners in the app were described as desirable adaptations.

Conclusion

Our findings can guide maternity healthcare on what support migrant women need and inform future development of mHealth tools for pregnant migrant populations. Future research should disentangle the degree of cultural adaptations required for mHealth lifestyle interventions provided by healthcare.

Effectiveness of an mHealth Application for Physical Activity Promotion Among Thai Older Adults: A Randomized Controlled Trial

This study aims to examine the effectiveness of mHealth delivered through LINE application in improving physical activity of older adults. This was a parallel, two-arm, randomized controlled trial, single-blind allocation to experimental and control groups. The sample consisted of 91 individuals (46 experimental and 45 control groups) aged 45 years or older, and had internet access. Intervention group received customized activities focused on raising awareness and knowledge provision for 8 weeks. Out of 91 participants, 82 completed the study (41 in each group). Comparison of Mean Difference values within groups found a significant difference at P < .05 (t = 2.294). The experimental group increased their PA by 7.2 min on average, while the control group decreased to 44.1 min. Subgroup that fully complied with the activity process had a significantly higher percentage of adequate PA at P = .01 level (χ2 = 7.853**). Tailoring activity content to older adults' diverse lifestyles via a Mobile Health application can effectively boost PA levels by meeting their needs conveniently and quickly.Clinical trial registration: Thai Clinical Trials Registry (TCTR) TCTR20240422004.

Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran

BACKGROUND

Given the effective role of a mobile applications in disease management, disease monitoring, and self-care in patients with COVID-19 disease, we aimed to design, development and evaluation of a self-care Mobile app for COVID-19 patients not requiring hospitalization.

METHODS

The design, development and evaluation the usability of the self-care and education mobile app for patients with COVID-19 disease were conducted in two main phases at 2021 in Northwest of IRAN; (1) Determine the features and capabilities and (2) Design, development and evaluation of self-care mobile App. JAVA programming languages and Android Operating System were used and selected to design and development of a mobile app. There were 25 participants who conducted evaluations of the mobile app's usability and impact using the mobile health app usability a Questionnaire of User Interface Satisfaction was administered to assess the usability of the developed application. The results were analyzed via Excel 2013.

RESULTS

The model of developing a mobile app as an Information System was the Waterfall model. The smartphone application based on a set of capabilities and features was designed and consists of two main parts: the login screen for user registration, and the main home menu. The user interface includes three main pages or activities; (a) Main Menu for quick access to all of the pages, (b) Symptom management and monitoring to monitor the signs and symptoms during the illness, and (c) Set Reminders and Alarms to notify patients. The users' mean score of the application usability was calculated as 7.91 out of 9 indicating a good level of satisfaction.

CONCLUSION

This app can be a guideline and a useful tools for managing and monitoring symptoms, reminding medications, and implementing self-care instructions in outpatients. The authors suggest evaluating the efficacy and functionality test of mobile-based applications for COVID-19 in clinical trial studies.

A Proposal for a Robust Validated Weighted General Data Protection Regulation-Based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: An eDelphi Study

BACKGROUND

Health care services are undergoing a digital transformation in which the Participatory Health Informatics field has a key role. Within this field, studies aimed to assess the quality of digital tools, including mHealth apps, are conducted. Privacy is one dimension of the quality of an mHealth app. Privacy consists of several components, including organizational, technical, and legal safeguards. Within legal safeguards, giving transparent information to the users on how their data are handled is crucial. This information is usually disclosed to users through the privacy policy document. Assessing the quality of a privacy policy is a complex task and several scales supporting this process have been proposed in the literature. However, these scales are heterogeneous and even not very objective. In our previous study, we proposed a checklist of items guiding the assessment of the quality of an mHealth app privacy policy, based on the General Data Protection Regulation.

OBJECTIVE

To refine the robustness of our General Data Protection Regulation-based privacy scale to assess the quality of an mHealth app privacy policy, to identify new items, and to assign weights for every item in the scale.

METHODS

A two-round modified eDelphi study was conducted involving a privacy expert panel.

RESULTS

After the Delphi process, all the items in the scale were considered "important" or "very important" (4 and 5 in a 5-point Likert scale, respectively) by most of the experts. One of the original items was suggested to be reworded, while eight tentative items were suggested. Only two of them were finally added after Round 2. Eleven of the 16 items in the scale were considered "very important" (weight of 1), while the other 5 were considered "important" (weight of 0.5).

CONCLUSION

The Benjumea privacy scale is a new robust tool to assess the quality of an mHealth app privacy policy, providing a deeper and complementary analysis to other scales. Also, this robust scale provides a guideline for the development of high-quality privacy policies of mHealth apps.

Cost savings in male circumcision post-operative care using two-way text-based follow-up in rural and urban South Africa

INTRODUCTION

Voluntary medical male circumcision (VMMC) clients are required to attend multiple post-operative follow-up visits in South Africa. However, with demonstrated VMMC safety, stretched clinic staff in SA may conduct more than 400,000 unnecessary reviews for males without complications, annually. Embedded into a randomized controlled trial (RCT) to test safety of two-way, text-based (2wT) follow-up as compared to routine in-person visits among adult clients, the objective of this study was to compare 2wT and routine post-VMMC care costs in rural and urban South African settings.

METHODS

Activity-based costing (ABC) estimated the costs of post-VMMC care, including counselling, follow-ups, and tracing in $US dollars. Transportation for VMMC and follow-up was provided for rural clients in outreach settings but not for urban clients in static sites. Data were collected from National Department of Health VMMC forms, RCT databases, and time-and-motion surveys. Sensitivity analysis presents different follow-up scenarios. We hypothesized that 2wT would save per-client costs overall, with higher savings in rural settings.

RESULTS

VMMC program costs were estimated from 1,084 RCT clients: 537 in routine care and 547 in 2wT. On average, 2wT saved $3.56 per client as compared to routine care. By location, 2wT saved $7.73 per rural client and increased urban costs by $0.59 per client. 2wT would save $2.16 and $7.02 in follow-up program costs if men attended one or two post-VMMC visits, respectively.

CONCLUSION

Quality 2wT follow-up care reduces overall post-VMMC care costs by supporting most men to heal at home while triaging clients with potential complications to timely, in-person care. 2wT saves more in rural areas where 2wT offsets transportation costs. Minimal additional 2wT costs in urban areas reflect high care quality and client engagement, a worthy investment for improved VMMC service delivery. 2wT scale-up in South Africa could significantly reduce overall VMMC costs while maintaining service quality.

Cost-effectiveness of telehealth-delivered nutrition interventions: a systematic review of randomized controlled trials

CONTEXT

Telehealth-delivered nutrition interventions are effective in practice; however, limited evidence exists regarding their cost-effectiveness.

OBJECTIVE

To evaluate the cost-effectiveness of telehealth-delivered nutrition interventions for improving health outcomes in adults with chronic disease.

DATA SOURCES

PubMed, CENTRAL, CINAHL, and Embase databases were systematically searched from database inception to November 2021. Included studies were randomized controlled trials delivering a telehealth-delivered diet intervention conducted with adults with a chronic disease and that reported on cost-effectiveness or cost-utility analysis outcomes.

DATA EXTRACTION

All studies were independently screened and extracted, and quality was appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist.

DATA ANALYSIS

All extracted data were grouped into subcategories according to their telehealth modality and payer perspective, and were analyzed narratively.

RESULTS

Twelve randomized controlled trials comprising 5 phone-only interventions, 3 mobile health (mHealth), 2 online, and 1 each using a combination of phone-online or phone-mHealth interventions, were included in this review. mHealth interventions were the most cost-effective intervention in all studies. Across all telehealth interventions and cost analyses from health service perspectives, 60% of studies were cost-effective. From a societal perspective, however, 33% of studies reported that the interventions were cost-effective. Of the 10 studies using cost-utility analyses, 3 were cost saving and more effective, making the intervention dominant, 1 study reported no difference in costs or effectiveness, and the remaining 6 studies reported increased cost and effectiveness, meaning payers must decide whether this falls within an acceptable willingness-to-pay threshold for them. Quality of study reporting varied with between 63% to 92%, with an average of 77% of CHEERS items reported.

CONCLUSION

Telehealth-delivered nutrition interventions in chronic disease populations appear to be cost-effective from a health perspective, and particularly mHealth modalities. These findings support telehealth-delivered nutrition care as a clinically beneficial, cost-effective intervention delivery modality.

A Community-Based, Mobile Electronic Medical Record System App for High-Quality, Integrated Antiretroviral Therapy in Lilongwe, Malawi: Design Process and Pilot Implementation

BACKGROUND

Differentiated service delivery (DSD) increases antiretroviral therapy (ART) access in sub-Saharan Africa by moving clients out of congested ART clinics to communities for care. However, DSD settings challenge provider adherence to complex, chronic care treatment guidelines and have burdensome systems for client monitoring and evaluation (M&E), reducing data for decision-making. Electronic medical record systems (EMRS) improve client outcomes and reduce M&E workload. Traditional EMRS cannot operate in most DSD settings with unreliable power and poor connectivity.

OBJECTIVE

This study aims to detail the human-centered design (HCD) process of developing a mobile EMRS for community-based DSD services in Lilongwe, Malawi.

METHODS

Lighthouse Trust (LT) operates 2 Ministry of Health (MoH) clinics in Lilongwe, Malawi, with a combined total of >35,000 ART clients. LT's real-time, point-of-care EMRS collects complex client M&E data and provides decision-making support, ensuring adherence to integrated HIV and tuberculosis guidelines that optimize client and program outcomes. LT's EMRS scaled to all large MoH ART clinics. LT also implements a nurse-led community-based ART program (NCAP), a DSD model to provide ART and rapid assessment for 2400 stable LT clients in the community. LT, alongside collaborators, from the University of Washington's International Training and Education Center for Health and technology partner, Medic, used the open-source Community Health Toolkit (CHT) and HCD to develop an open-source, offline-first, mobile EMRS-like app, "community-based ART retention and suppression" (CARES). CARES aims to bring EMRS-like provider benefits to NCAP's DSD clients.

RESULTS

CARES design took approximately 12 months and used an iterative process of highly participatory feedback sessions with provider, data manager, and M&E team inputs to ensure CARES optimization for the NCAP and LT settings. The CARES mobile EMRS prototype supports NCAP providers with embedded prompts and alerts to ensure adherence to integrated MoH ART guidelines, aiming to improve the quality of client care. CARES facilitates improved data quality and flow for NCAP M&E, aiming to reduce data gaps between community and clinic settings. The CARES pilot demonstrates the potential of a mobile, point-of-care EMRS-like app that could benefit NCAP clients, providers, and program teams with integrated client care and complete M&E data for decision-making. CARES challenges include app speed, search features to align longitudinal records, and CARES to EMRS integration that supports timely care alerts.

CONCLUSIONS

Leveraging the CHT and HCD processes facilitated the design of a locally specified and optimized mobile app with the promise to bring EMRS-like benefits to DSD settings. Moving from the CARES prototype to routine NCAP implementation should result in improved client care and strengthened M&E while reducing workload. Our transparent and descriptive process shares the progress and pitfalls of the CARES design and development, helping others in this digital innovation area to learn from our experiences at this stage.

Economic Cost of the HealthCall Smartphone Intervention to Reduce Heavy Alcohol Drinking in Adults With HIV

OBJECTIVE

Alcohol use among people living with HIV (PLWH) can reduce adherence and worsen health outcomes. We evaluated the economic cost of an effective smartphone application (HealthCall) to reduce drinking and improve antiretroviral adherence among heavy-drinking PLWH participating in a randomized trial.

METHOD

Participants were randomized to receive a brief drinking-reduction intervention, either (a) the National Institute on Alcohol Abuse and Alcoholism (NIAAA) Clinician's Guide (CG-only, n = 37), (b) CG enhanced by HealthCall to monitor daily alcohol consumption (CG+HealthCall, n = 38), or (c) motivational interviewing delivered by a nonclinician enhanced by HealthCall (MI+HealthCall, n = 39). We used micro-costing techniques to evaluate start-up costs and incremental costs per participant incurred from the health care sector perspective in 2018 U.S. dollars. We also investigated potential cost offsets using participant-reported health care utilization.

RESULTS

Participants attended three intervention visits, and each visit cost on average $29 for CG-only, $32 for CG+HealthCall, and $15 for MI+HealthCall. The total intervention cost per participant was $94 for CG-only, $114 for CG+HealthCall, and $57 for MI+HealthCall; the incremental cost of CG+HealthCall compared with CG-only was $20 per participant, and the incremental savings of MI+HealthCall compared with CG-only was $37 per participant. No significant differences in health care utilization occurred among the three groups over 12 months.

CONCLUSIONS

The cost of enhancing CG with the HealthCall application for heavy-drinking PLWH was modestly higher than using the CG alone, whereas MI enhanced with HealthCall delivered by a nonclinician had a lower cost than CG alone. HealthCall may be a low-cost enhancement to brief interventions addressing alcohol use and antiretroviral adherence among PLWH.