Wirelessly Observed Therapy to Optimize Adherence and Target Interventions for Oral Hepatitis C Treatment: Observational Pilot Study

Current Implementation of Digital Health in Chronic Disease Management: Scoping Review

BACKGROUND

Approximately 1 in 3 adults live with multiple chronic diseases. Digital health is being harnessed to improve continuity of care and management of chronic diseases. However, meaningful uptake of digital health for chronic disease management remains low. It is unclear how these innovations have been implemented and evaluated.

OBJECTIVE

This scoping review aims to identify how digital health innovations for chronic disease management have been implemented and evaluated: what implementation frameworks, methods, and strategies were used; how successful these strategies were; key barriers and enablers to implementation; and lessons learned and recommendations shared by study authors.

METHODS

We used the Joanna Briggs Institute methodology for scoping reviews. Five databases were searched for studies published between January 2015 and March 2023: PubMed, Scopus, CINAHL, PsycINFO, and IEEE Xplore. We included primary studies of any study design with any type of digital health innovations for chronic diseases that benefit patients, caregivers, or health care professionals. We extracted study characteristics; type of digital health innovation; implementation frameworks, strategies, and outcome measures used; barriers and enablers to implementation; lessons learned; and recommendations reported by study authors. We used established taxonomies to synthesize extracted data. Extracted barriers and enablers were grouped into categories for reporting. Descriptive statistics were used to consolidate extracted data.

RESULTS

A total of 252 studies were included, comprising mainly mobile health (107/252, 42.5%), eHealth (61/252, 24.2%), and telehealth (97/252, 38.5%), with some studies involving more than 1 innovation. Only 23 studies (23/252, 9.1%) reported using an implementation science theory, model, or framework; the most common were implementation theories, classic theories, and determinant frameworks, with 7 studies each. Of 252 studies, 144 (57.1%) used 2 to 5 implementation strategies. Frequently used strategies were "obtain and use patient or consumer feedback" (196/252, 77.8%); "audit and provide feedback" (106/252, 42.1%); and piloting before implementation or "stage implementation scale-up" (85/252, 33.7%). Commonly measured implementation outcomes were acceptability, feasibility, and adoption of the digital innovation. Of 252 studies, 247 studies (98%) did not measure service outcomes, while patient health outcomes were measured in 89 studies (35.3%). The main method used to assess outcomes was surveys (173/252, 68.7%), followed by interviews (95/252, 37.7%). Key barriers impacting implementation were data privacy concerns and patient preference for in-person consultations. Key enablers were training for health care workers and personalization of digital health features to patient needs.

CONCLUSIONS

This review generated a summary of how digital health in chronic disease management is currently implemented and evaluated and serves as a useful resource for clinicians, researchers, health system managers, and policy makers planning real-world implementation. Future studies should investigate whether using implementation science frameworks, including how well they are used, would yield better outcomes compared to not using them.

Adherence in Hepatitis C Virus Treatment: What We Know

Although therapy with direct-acting antiviral (DAA) agents achieves high hepatitis C virus (HCV) cure rates and is forgiving of missed doses, certain patient populations, such as people who inject drugs (PWID), are often denied therapy because of a perceived high risk of nonadherence. However, a relationship between adherence to DAAs for various patient populations and efficacy has not been well defined. The lack of a standardized method for evaluating adherence complicates making comparisons between studies, making it difficult to develop and implement novel measures that may improve adherent behavior. Traditional methods for assessing adherence may overestimate medication adherence, while newer, technology-based methods may assist with accurately assessing and maintaining patient adherence to therapy. Data demonstrate that special populations of patients with HCV, such as PWID, can be successfully treated, with relatively high rates of sustained virologic response (SVR) despite less-than-optimal adherence. While rates of adherence, and subsequently SVR, can be improved, antiviral therapy should not be withheld because of fear of nonadherence. This article addresses medication adherence and forgiveness of DAA regimens, such as sofosbuvir/velpatasvir and glecaprevir/pibrentasvir, in different patient populations with HCV. Considerations in evaluating adherence in HCV therapy and available methods for assessing adherence are detailed.

Telehealth interventions in patients with chronic liver diseases: A systematic review

BACKGROUND AND AIM

Telehealth interventions may improve access to care, disease-specific, and quality outcomes in chronic liver diseases (CLDs). We aimed to systematically evaluate outcomes of telehealth interventions in CLDs.

MATERIALS AND METHODS

We used key terms and searched PubMed/EMBASE from inception to January 10, 2022. Two authors independently screened abstracts. Disagreements were resolved by a third reviewer. We included any type of CLD, including posttransplant patients, and extracted outcomes as defined by authors for each etiology of CLD (sustained virological response in HCV or weight loss in NAFLD). Meta-analysis was not performed because of the heterogeneity of data. Quality assessment was performed using the Newcastle-Ottawa Scale for observational studies and the Cochrane Risk of Bias tool for clinical trials.

RESULTS

Of 4250 studies screened, 43 met the inclusion criteria. Of these, 28 reported HCV treatment outcomes. All studies showed no statistically significant differences between sustained virological response rates in TH groups compared with control groups or historic cohorts. Eight studies evaluating liver transplant-related processes and outcomes demonstrated improved rates of transplant evaluation and referrals and decreased short-term readmission rates. Three randomized controlled trials and 1 observational study on NAFLD showed improved weight loss outcomes. One retrospective study showed reduced mortality risk in CLD patients with at least 1 TH encounter.

CONCLUSIONS

TH interventions in patients with CLDs consistently show equivalent or improved clinical outcomes compared with traditional encounters. TH in CLDs can bridge the gap in access while maintaining the quality of care for underserved populations.

Bibliometric analysis and evidence of clinical efficacy and safety of digital pills

Objectives: Digital pills are new technologies that aim to improve healthcare by increasing medication adherence. The aim of the work was a bibliometric analysis of clinical studies of digital pills and an assessment of the level of evidence of their effectiveness, safety, and prospects for the future. Materials and Methods: The studies were conducted using online databases such as ClinicalTrials.gov, Dimensions, and Web of Science for the period January 2012 to July 2022. The VOSviewer tool for building and visualizing bibliometric networks was used. Results: Bibliometric analysis of the scientific literature revealed that over the past 10 years, the number of publications about digital pills has noticeably increased, which indicates the increasing importance of this field of knowledge. The leading positions in this area are occupied by scientists from the United States, the United Kingdom, and India. Sources of financial support for authors of publications in the field of digital pills are funds from leading developer companies, budget allocations, and funds from non-commercial organizations. Public-private partnerships are an important path to develop and implement digital pills. The four main clusters of digital pill studies were highlighted and visualized: efficacy and safety analysis for serious mental disorders; treatment and costs of tuberculosis therapy; features of the treatment of diabetes, cardiovascular diseases, and AIDS; and usage monitoring. Available publications demonstrate the efficacy potential and safety of digital pills. Nevertheless, the effects of digital pills have not yet been fully studied. Conclusion: Priority areas for future research are further randomized controlled clinical trials and meta-analyses, which are necessary for a high level (I level) of evidence for therapeutic applications of digital pills, as well as pharmacoeconomic studies.

Ingestible electronic sensors to measure instantaneous medication adherence: A narrative review

OBJECTIVE

Medication nonadherence contributes to significant morbidity and mortality worldwide. While many techniques to measure adherence exist, digital pill systems represent a novel, direct method of measuring adherence and a means of providing instantaneous adherence supports. In this narrative review, we discuss digital pill system research based on clinical trials and qualitative investigations conducted to date and potential future applications of digital pill system in medication adherence measurement.

METHODS

We conducted a literature search in PubMed of English language peer-reviewed articles describing the use of digital pill system for medication adherence measurement between 2000 and 2021. We included all articles that described the deployment of ingestible sensors and those involving qualitative investigations of digital pill system with human subjects.

RESULTS

A total of 95 articles were found on initial search; 75 were removed based on exclusion criteria. Included articles were categorized as investigations that deployed an ingestible sensor in human populations (n = 18), or those that conducted qualitative work (n = 3). For pilot studies, the mean accuracy of the sensor to successfully detect a medication ingestion event ranged from 68% to 100%. When digital pill systems were deployed in real-world clinical settings, accuracy ranged from 68% to 90% with lower accuracy due to nonadherence to digital pill system technology. Qualitative studies demonstrated that providers and patients perceive the digital pill system as a facilitator for improving adherence and as a potential platform for delivering adherence interventions. Additionally, ingestion data from digital pill system was viewed as useful in facilitating adherence discussions between clinicians and patients.

CONCLUSIONS

This narrative review demonstrates that the use of digital pill system is broadly feasible across multiple disease states including human immunodeficiency virus, hepatitis C infection, solid organ transplants, tuberculosis, schizophrenia, cardiovascular disease, and acute fractures, where adherence is closely linked to significant morbidity and mortality. It also highlights key areas of research that are still needed prior to broad-scale clinical deployment of such systems.

The use of technology-based adherence monitoring in the treatment of hepatitis C virus

Direct-acting antivirals (DAAs) achieve high hepatitis C virus (HCV) cure rates and are forgiving to missed doses, but adherence–efficacy relationships have not been well defined. Traditional adherence measures (e.g. pill counts, self-report and pharmacy refills) over-estimate medication adherence. Newer technology-based tools have been used to provide more objective adherence data. Herein, electronic medication diaries (e-diaries), medication events monitoring system (MEMS^®) caps, electronic blister packs, electronic pill boxes, video-based directly observed therapy (vDOT), artificial intelligence platforms (AIPs), and ingestible sensor systems are described, and compared based on existing studies using DAA. Percent adherence, predictors of adherence, and HCV cure rates utilizing these technologies are included. DAA adherence with e-diaries was 95–96%, MEMS^® caps and ingestible biosensors were between 95% and 97%, blister pack weekly dosing ranged 73–98%, and daily dosing 73–94%, whereas electronic pill boxes ranged between 39% and 89%, vDOT was 98% and AIP 91–96%. Despite a wide range of adherence, high sustained virologic response (SVR) rates (86–100%) were observed across all studies utilizing these different technology-based tools. Current data support the forgiveness of DAA therapies to missed doses using tools that provide more quantitative adherence measures compared with self-report and provide insight on adherence–efficacy relationships for contemporary DAA.

Development of a digital pill and respondent behavioral intervention (PrEPSteps) for HIV pre-exposure prophylaxis adherence among stimulant using men who have sex with men

The efficacy of pre-exposure prophylaxis (PrEP) for HIV prevention in men who have sex with men (MSM) is contingent upon consistent adherence. Digital pill systems (DPS) provide real-time, objective measurement of ingestions and can inform behavioral adherence interventions. Qualitative feedback was solicited from MSM who use stimulants to optimize a cognitive behavioral therapy (CBT)-based intervention (LifeSteps), used in conjunction with a DPS, to promote PrEP adherence (PrEPSteps). Seven focus groups and one individual qualitative interview were conducted in Boston, MA with cisgender, HIV-negative MSM who reported stimulant use and current PrEP use or interest. Focus groups and interviews explored reactions to the DPS and PrEPSteps messaging components: contingent reinforcement (CR), corrective feedback (CF), LifeSteps, and substance use Screening, Brief Intervention, and Referral to Treatment (SBIRT). Quantitative assessments were administered. Qualitative data were analyzed using applied thematic analysis. Twenty MSM participated. Most were White (N = 12), identified as homosexual or gay (N = 15), and college-educated (N = 15). Ages ranged from 24 to 68 years (median 35.5). Participants were willing to engage with the DPS and viewed it as beneficial for promoting adherence. Confirmatory CR messages were deemed acceptable, and a neutral tone was preferred. CF messages were viewed as most helpful and as promoting individual responsibility. LifeSteps was perceived as useful for contextualizing nonadherence. However, SBIRT was a barrier to DPS use; concerns around potential substance use stigma were reported. MSM who use stimulants were accepting of the DPS and PrEPSteps intervention. CR, CF, and LifeSteps messages were viewed as helpful, with modifications pertaining to tone and content; SBIRT messages were not preferred.

eHealth Technologies for Screening, Diagnosis, and Management of Viral Hepatitis: A Systematic Review

BACKGROUND & AIMS

Chronic viral hepatitis is a leading cause of worldwide liver-related morbidity and mortality, despite the availability of effective treatments that reduce or prevent complications in most patients. Electronic-health (eHealth) technologies have potential to intervene along the whole cascade of care. We aimed to summarize available literature on eHealth interventions with respect to conventional screening, diagnostic and treatment outcomes in chronic hepatitis B (HBV) and hepatitis C (HCV).

METHODS

We systematically reviewed MEDLINE, EMBASE, Cochrane Library and international conference abstracts, including studies published from 2009 - 2020. Overall 80 studies were included, covering electronic medical record (EMR) interventions (n=39), telemedicine (n=20), mHealth (n=5), devices (n=4), clinical decision support (n=3), web-based (n=5), social media (n=1) and electronic communication (n=3).

RESULTS

Compared to standard care, EMR alerts increase screening rates in eligible populations including birth cohort screening in HCV, universal HCV screening in Emergency Departments, ethnic groups with high HBV prevalence, and HBV screening prior to immunosuppression. Direct messaging alerts to providers and automated testing may have a greater effect. No significant difference was found in sustained virological response outcomes between telemedicine and face-to-face management for community, rural and prison cohorts in HCV in the direct acting antiviral era of treatment, with higher patient satisfaction in telemedicine groups.

CONCLUSIONS

EMR alerts significantly increase screening rates in eligible cohorts in both chronic HBV and HCV. Telemedicine is equally efficacious to face-to-face care in HCV treatment. Other eHealth technologies show promise; however rigorous studies are lacking.

Adherence to Direct-Acting Antiviral Therapy in People Actively Using Drugs and Alcohol: The INCLUD Study

BACKGROUND

Hepatitis C virus treatment in persons who use drugs (PWUD) is often withheld due to adherence and reinfection concerns. In this study, we report treatment outcomes, technology-based adherence data, and adherence predictors in PWUD and/or alcohol.

METHODS

INCLUD was a prospective, open-label study of ledipasvir/sofosbuvir for 12 weeks in PWUD aged 18-70 years. Participants were randomized to wireless (wirelessly observed therapy) or video-based directly observed therapy (vDOT). Drug use was assessed every 2 weeks. Sustained virologic response (SVR) was examined by intention-to-treat and as-treated. Factors associated with missing ≥1 dose(s) between visits were examined using generalized linear models.

RESULTS

Sixty participants received ≥1 ledipasvir/sofosbuvir dose (47 human immunodeficiency virus [HIV]/hepatitis C virus [HCV], 13 HCV only; 78% male; 22% black; 25% cirrhotic). Substance use occurred at 94% of person-visits: 60% marijuana, 56% alcohol, 37% methamphetamine, 22% opioids, 17% cocaine, and 20% injection drug use. The SVR by intention-to-treat was 86.7% (52 of 60) and as-treated was 94.5% (52 of 55). Confirmed failures included 1 relapse, 1 reinfection, and 1 unknown (suspected reinfection). Median total adherence was 96% (interquartile range [IQR], 85%-100%; range, 30%-101%), and between-visit adherence was 100% (IQR, 86%-100%; range, 0%-107%). The odds of missing ≥1 dose between visits increased with HIV coinfection (2.94; 95% confidence interval [CI], 1.37-6.32; P = .006), black race (4.09; 95% CI, 1.42-11.74; P = .009), methamphetamine use (2.51; 95% CI, 1.44-4.37; P = .0.001), and cocaine use (2.12; 95% CI, 1.08-4.18; P = .03) and decreased with marijuana use (0.34; 95% CI, 0.17-0.70; P = .003) and vDOT (0.43; 95% CI, 0.21-0.87; P = .02).

CONCLUSIONS

Persons who use drugs achieved high SVR rates with high, but variable, ledipasvir/sofosbuvir adherence using technology-based methods. These findings support efforts to expand HCV treatment in PWUD.