Application of the Quadruple Aim to evaluate the operational impact of a telemedicine program

Application of telemedicine technology for cardiovascular diseases management during the COVID-19 pandemic: a scoping review

Background

Recently, the use of telemedicine technology has increased due to the Covid-19 pandemic. Cardiovascular diseases management is one of the areas that has benefited from using this technology. This study aimed to identify the applications of telemedicine for cardiovascular diseases management during the Covid-19 pandemic.

Methods

This scoping study was conducted in 2023. Various databases, including PubMed, Web of Science, Scopus, the Cochrane Library, Ovid, CINAHL, ProQuest, and IEEE Xplore along with Google Scholar were searched and all related quantitative, qualitative, and mixed-method studies published in English between 2020 and 2022 were included. Finally, the required data were extracted, and the findings were reported narratively.

Results

A total of 17 articles were included in this study. The results showed that teleconsultation via telephone and videoconferencing were the most common used technologies. Telemedicine helped to improve clinical impacts such as patient health status and quality of care, and reduced hospitalizations and re-admission rates compared to in-person visits. The non-clinical impact included reducing waiting time, in-person visits, and healthcare costs during the Covid-19 pandemic.

Conclusion

The Covid-19 pandemic has led to an increased use of telemedicine technology, especially for patients with cardiovascular diseases. As teleconsultation and telemonitoring are useful for cardiovascular diseases management and regular examinations, future research should investigate how these technologies can be improved and used for a wider population.

Drivers of variation in telemedicine use during the COVID-19 pandemic: The experience of a large academic cardiovascular practice

BACKGROUND

COVID-19 spurred rapid adoption and expansion of telemedicine. We investigated the factors driving visit modality (telemedicine vs. in-person) for outpatient visits at a large cardiovascular center.

METHODS

We used electronic health record data from March 2020 to February 2021 from four cardiology subspecialties (general cardiology, electrophysiology, heart failure, and interventional cardiology) at a large academic health system in Northern California. There were 21,912 new and return visits with 69% delivered by telemedicine. We used hierarchical logistic regression and cross-validation methods to estimate the variation in visit modality explained by patient, clinician, and visit factors as measured by the mean area under the curve.

RESULTS

Across all subspecialties, the clinician seen was the strongest predictor of telemedicine usage, while primary visit diagnosis was the next most predictive. In general cardiology, the model based on clinician seen had a mean area under the curve of 0.83, the model based on the primary diagnosis had a mean area under the curve of 0.69, and the model based on all patient characteristics combined had a mean area under the curve of 0.56. There was significant variation in telemedicine use across clinicians within each subspecialty, even for visits with the same primary visit diagnosis.

CONCLUSION

Individual clinician practice patterns had the largest influence on visit modality across subspecialties in a large cardiovascular medicine practice, while primary diagnosis was less predictive, and patient characteristics even less so. Cardiovascular clinics should reduce variability in visit modality selection through standardized processes that integrate clinical factors and patient preference.

Asynchronous Telemedicine: A Systematic Literature Review

Background

Asynchronous telemedicine (ATM), which describes telemedical interaction between a patient and provider where neither party communicates simultaneously, is an important telemedicine modality that is seeing increased use. In this article, we summarize the published peer-reviewed literature specifically related to ATM to (1) identify terms or phrases that are used to describe ATM, (2) ascertain how this research has thus far addressed the various aspects of the quadruple aim of medicine, and (3) assess the methodological rigor of research on ATM. We also divided the literature into pre- and post-COVID-19 onset periods to identify potential variations in the literature between these two periods.

Methods

This systematic literature review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search, utilizing multiple databases and applying inclusion and exclusion criteria, initially produced 2624 abstracts for review. De-duplication and screening ultimately yielded 104 articles for data extraction.

Results

"Store-and-forward" and variations of "e-visit" were the most frequently used alternative terms for ATM. Care quality was the most frequently addressed aspect of the Quadruple Aim of Medicine-more than double any other category-followed by patient satisfaction. We separated cost of care into two categories: patients' cost of care and providers' cost to provide care. Patient cost of care was the third most addressed aspect of the Quadruple Aim of Medicine followed by provider well-being and provider's cost to provide care. Methodological rigor of the studies was also addressed, with only 2 quantitative studies ranked "Strong," 5 ranked "Moderate," and 97 ranked "Weak." Qualitative studies were generally acceptable but struggled methodologically with accounting for all participants and articulation of results.

Conclusions

Although "store-and-forward" is somewhat more frequently used in the studies included in this review, variants of "e-visit," are growing in recent usage. Given the relative newness of modality, it is not surprising that quality of care is the most researched aspect of the Quadruple Aim of Medicine in ATM research. We anticipate more balance between these areas as research in this field matures. Primary areas of research need currently relate to practitioners-specifically their costs of providing care and well-being. Finally, future ATM research needs to address research challenges of selection bias and blinding in quantitative studies and improved participant tracking and articulation of both study design and results in qualitative studies.

Using the quadruple aim to understand the impact of virtual delivery of care within Ontario community health centres: a qualitative study

BACKGROUND

The onset of the COVID-19 pandemic and introduction of various restrictions resulted in drastic changes to 'traditional' primary healthcare service delivery modalities.

AIM

To understand the impact of virtual care on healthcare system performance within the context of Ontario community health centres (CHCs).

DESIGN & SETTING

Thematic analysis of qualitative interviews with 36 providers and 31 patients.

METHOD

Semi-structured phone interviews were conducted in the autumn of 2020. Interviews were recorded, transcribed verbatim, and analysed thematically using the quadruple aim framework.

RESULTS

The transition to virtual delivery of services has had both positive and negative impacts on care. Virtual care removed certain barriers to care such as access. However, patients and providers found that phone visits impacted quality of care owing to the inability to read body language and having to rely solely on patient descriptions. Video visits allowed for a similar experience to in-person visits but technical issues constrained this interaction. Depending on the service provided, some providers felt they were not providing the same quality of care. However, providers reported reductions in no-show rates and highlighted the efficiency of virtual appointments. Providers also found they were able to collaborate at a similar level before the pandemic and saw improvements in work-life balance. Overall, patients and providers alike preferred virtual visits with those known to them, and for less complex or transactional aspects of care.

CONCLUSION

The study described positive and negative impacts on patient care, population health, health system costs, and provider experience. These results will be useful for primary care organisations in post-pandemic planning; however, future research is needed for a deeper exploration of the impact on quality of care specifically for more complex health concerns.

Approaches to priority identification in digital health in ten countries of the Global Digital Health Partnership

BACKGROUND

To promote shared digital health best practices in a global context, as agreed within the Global Digital Health Partnership (GDHP), one of the most important topics to evaluate is the ability to detect what participating countries believe to be priorities suitable to improve their healthcare systems. No previously published scientific papers investigated these aspects as a cross-country comparison.

OBJECTIVE

The aim of this paper is to present results concerning the priorities identification section of the Evidence and Evaluation survey addressed to GDHP members in 2021, comparing countries' initiatives and perspectives for the future of digital health based on internationally agreed developments.

METHODS

This survey followed a cross-sectional study approach. An online survey was addressed to the stakeholders of 29 major countries.

RESULTS

Ten out of 29 countries answered the survey. The mean global score of 3.54 out of 5, calculated on the whole data set, demonstrates how the global attention to a digital evolution in health is shared by most of the evaluated countries.

CONCLUSION

The resulting insights on the differences between digital health priority identification among different GDHP countries serves as a starting point to coordinate further progress on digital health worldwide and foster evidence-based collaboration.