COVID-19's impact on the future of digital health technology in primary care

Tailoring remote patient management in cardiovascular risk management for healthcare professionals using panel management: a qualitative study

BACKGROUND

While remote patient management (RPM) has the potential to assist in achieving treatment targets for cardiovascular risk factors in primary care, its effectiveness may vary among different patient subgroups. Panel management, which involves proactive care for specific patient risk groups, could offer a promising approach to tailor RPM to these groups. This study aims to (i) assess the perception of healthcare professionals and other stakeholders regarding the adoption and (ii) identify the barriers and facilitators for successfully implementing such a panel management approach.

METHODS

In total, nineteen semi-structured interviews and two focus groups were conducted in the Netherlands. Three authors reviewed the audited transcripts. The Consolidated Framework for Implementation Strategies (CFIR) domains were used for the thematic analysis.

RESULTS

A total of 24 participants (GPs, nurses, health insurers, project managers, and IT consultants) participated. Overall, a panel management approach to RPM in primary care was considered valuable by various stakeholders. Implementation barriers encompassed concerns about missing necessary risk factors for patient stratification, additional clinical and technical tasks for nurses, and reimbursement agreements. Facilitators included tailoring consultation frequency and early detection of at-risk patients, an implementation manager accountable for supervising project procedures and establishing agreements on assessing implementation metrics, and ambassador roles.

CONCLUSION

Panel management could enhance proactive care and accurately identify which patients could benefit most from RPM to mitigate CVD risk. For successful implementation, we recommend having clear agreements on technical support, financial infrastructure and the criteria for measuring evaluation outcomes.

Characteristics Associated With Telemonitoring Use Among Patients With Chronic Heart Failure: Retrospective Cohort Study

BACKGROUND

Chronic heart failure (HF) is a chronic disease affecting more than 64 million people worldwide, with an increasing prevalence and a high burden on individual patients and society. Telemonitoring may be able to mitigate some of this burden by increasing self-management and preventing use of the health care system. However, it is unknown to what degree telemonitoring has been adopted by hospitals and if the use of telemonitoring is associated with certain patient characteristics. Insight into the dissemination of this technology among hospitals and patients may inform strategies for further adoption.

OBJECTIVE

We aimed to explore the use of telemonitoring among hospitals in the Netherlands and to identify patient characteristics associated with the use of telemonitoring for HF.

METHODS

We performed a retrospective cohort study based on routinely collected health care claim data in the Netherlands. Descriptive analyses were used to gain insight in the adoption of telemonitoring for HF among hospitals in 2019. We used logistic multiple regression analyses to explore the associations between patient characteristics and telemonitoring use.

RESULTS

Less than half (31/84, 37%) of all included hospitals had claims for telemonitoring, and 20% (17/84) of hospitals had more than 10 patients with telemonitoring claims. Within these 17 hospitals, a total of 7040 patients were treated for HF in 2019, of whom 5.8% (409/7040) incurred a telemonitoring claim. Odds ratios (ORs) for using telemonitoring were higher for male patients (adjusted OR 1.90, 95% CI 1.50-2.41) and patients with previous hospital treatment for HF (adjusted OR 1.76, 95% CI 1.39-2.24). ORs were lower for higher age categories and were lowest for the highest age category, that is, patients older than 80 years (OR 0.30, 95% CI 0.21-0.44) compared to the reference age category (18-59 years). Socioeconomic status, degree of multimorbidity, and excessive polypharmacy were not associated with the use of telemonitoring.

CONCLUSIONS

The use of reimbursed telemonitoring for HF was limited up to 2019, and our results suggest that large variation exists among hospitals. A lack of adoption is therefore not only due to a lack of diffusion among hospitals but also due to a lack of scaling up within hospitals that already deploy telemonitoring. Future studies should therefore focus on both kinds of adoption and how to facilitate these processes. Older patients, female patients, and patients with no previous hospital treatment for HF were less likely to use telemonitoring for HF. This shows that some patient groups are not served as much by telemonitoring as other patient groups. The underlying mechanism of the reported associations should be identified in order to gain a deeper understanding of telemonitoring use among different patient groups.

Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review

BACKGROUND

Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products.

OBJECTIVE

In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals.

METHODS

A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis.

RESULTS

We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure.

CONCLUSIONS

The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.

Translation, cultural adaptation and validity assessment of the Dutch version of the eHealth Literacy Questionnaire: a mixed-method approach

BACKGROUND

The digitalization of healthcare requires users to have sufficient competence in using digital health technologies. In the Netherlands, as well as in other countries, there is a need for a comprehensive, person-centered assessment of eHealth literacy to understand and address eHealth literacy related needs, to improve equitable uptake and use of digital health technologies.

OBJECTIVE

We aimed to translate and culturally adapt the original eHealth Literacy Questionnaire (eHLQ) to Dutch and to collect initial validity evidence.

METHODS

The eHLQ was translated using a systematic approach with forward translation, an item intent matrix, back translation, and consensus meetings with the developer. A validity-driven and multi-study approach was used to collect validity evidence on 1) test content, 2) response processes and 3) internal structure. Cognitive interviews (n = 14) were held to assess test content and response processes (Study 1). A pre-final eHLQ version was completed by 1650 people participating in an eHealth study (Study 2). A seven-factor Confirmatory Factor Analysis (CFA) model was fitted to the data to assess the internal structure of the eHLQ. Invariance testing was performed across gender, age, education and current diagnosis.

RESULTS

Cognitive interviews showed some problems in wording, phrasing and resonance with individual's world views. CFA demonstrated an equivalent internal structure to the hypothesized (original) eHLQ with acceptable fit indices. All items loaded substantially on their corresponding latent factors (range 0.51-0.81). The model was partially metric invariant across all subgroups. Comparison of scores between groups showed that people who were younger, higher educated and who had a current diagnosis generally scored higher across domains, however effect sizes were small. Data from both studies were triangulated, resulting in minor refinements to eight items and recommendations on use, score interpretation and reporting.

CONCLUSION

The Dutch version of the eHLQ showed strong properties for assessing eHealth literacy in the Dutch context. While ongoing collection of validity evidence is recommended, the evidence presented indicate that the eHLQ can be used by researchers, eHealth developers and policy makers to identify eHealth literacy needs and inform the development of eHealth interventions to ensure that people with limited digital access and skills are not left behind.

The Evolution of Telepsychiatry for Substance Use Disorders During COVID-19: a Narrative Review

Purpose of Review

This article aims to review and synthesize the current research evidence regarding the efficacy of telepsychiatry-delivered substance use disorder treatment using a narrative review with a focus on the effects of remote healthcare delivery within the substance abuse treatment space.

Recent Findings

The COVID-19 pandemic exerted substantial pressures on all levels of society. Social isolation, loss of employment, stress, physical illness, overburdened health services, unmet medical needs, and rapidly changing pandemic restrictions had particularly severe consequences for people with mental health issues and substance use disorders. Since the start of the pandemic, addiction treatment (and medical treatment overall) using remote health platforms has significantly expanded to different platforms and delivery systems. The USA, in particular, reported transformational policy developments to enable the delivery of telehealth during the COVID-19 pandemic. However, systemic barriers such as a widespread lack of internet access and insufficient patient and provider digital skills remain.

Summary

Overall, telepsychiatry is a promising approach for the treatment of substance use disorders, but more randomized controlled trials are needed in the future to assess the evidence base of available interventions.

Digital technologies in primary care: Implications for patient care and future research

Digital health is the convergence of digital technologies with health, healthcare, living, and society. Contrasting with the slow trend during the last decades, in the last few years, we have observed an expansion and widespread adoption and implementation. In this paper, we revisit the potential that digital health presents for the delivery of higher quality, safer and more equitable care. Focussing on three examples - patient access to health records, big data analytics, and virtual care - we discuss the emerging opportunities and challenges of digital health, and how they can change primary care. We also reflect on the implications for research to evaluate digital interventions: the need to evaluate clear outcomes in light of the six dimensions of quality of care (patient-centredness, efficiency, effectiveness, safety, timeliness, and equity); to define clear populations to understand what works and for which patients; and to involve different stakeholders in the formulation and evaluation of the research questions. Finally, we share five wishes for the future of digital care in General Practice: the involvement of primary healthcare professionals and patients in the design and maintenance of digital solutions; improving infrastructure, support, and training; development of clear regulations and best practice standards; ensuring patient safety and privacy; and working towards more equitable digital solutions, that leave no one behind.

Readiness for five digital technologies in general practice: perceptions of staff in one part of southern England

Background

Our aim was to understand how digital readiness within general practice varies between different technologies and to identify how demographic, workplace and external factors affect this. The technologies considered include electronic patient records, telehealth (text messaging and video consultations), patient online access, patient clinical apps and wearables, and social media.

Method

A digital readiness survey tool was developed and used in one area of southern England during Spring 2020. Semistructured qualitative interviews were also carried out with some practice staff and digital technology company representatives.

Results

GPs, nurses and non-clinical staff submitted 287 responses from 27 general practices (out of 33 invited).

Staff digital readiness differs significantly between technologies. The mean perceived digital competency scores on 0–100 scale (high is good) were electronic patient records (75.7), telehealth (64.2), patient online access (65.8), patient clinical apps and wearables (50.8), and social media (51.2).

Younger general practice staff, those in post for 5 or less years are more digitally competent and confident than older staff. This applies to both clinical and non-clinical staff. Older patient population, rurality and smaller practice size are associated with lower digital readiness. Readiness to use digital technology may have improved since the start of the COVID-19 pandemic but barriers remain in poor IT and mobile infrastructure, software usability and interoperability, and concerns about information governance.

Conclusions

Improving digital readiness in general practice is complex and multifactorial. Issues may be alleviated by using dedicated digital implementation teams and closer collaboration between stakeholders (GPs and their staff, patients, funders, technology companies and government).

Samen sterk door persoonsgerichte en digitale zorg

Digitale zorg voor chronische patiënten heeft zich in de huisartsenpraktijk de afgelopen jaren stormachtig ontwikkeld, mede door COVID-19. Past die ontwikkeling wel bij persoonsgerichte zorg? Het NHG-Standpunt E-health voor huisarts en patiënt uit 2015 is positief-kritisch en ook de auteurs van deze beschouwing denken dat het kan. Ze geven nieuwe voorbeelden uit de praktijk die dat bevestigen, maar stippen ook de randvoorwaarden aan: training, toegankelijkheid en verder onderzoek naar de effecten.