Pragmatic cluster randomized trial to evaluate effectiveness and implementation of EHR-facilitated collaborative symptom control in cancer (E2C2): addendum

The Growing Role of Digital Health Tools in the Care of Patients with Cancer: Current Use, Future Opportunities, and Barriers to Effective Implementation

PURPOSE OF REVIEW

This article aims to describe the ways in which digital health technologies are currently being used to improve the delivery of cancer care, highlight opportunities to expand their use, and discuss barriers to effective and equitable implementation.

RECENT FINDINGS

The utilization of digital health tools and development of novel care delivery models that leverage such tools is expanding. Recent studies have shown feasibility and increased implementation in the setting of oncologic care. With technological advances and key policy changes, utilization of digital health tools has greatly increased over the past two decades and transformed how cancer care is delivered. As digital health tools are expanded and refined, there is potential for improved access to and quality and efficiency of cancer care. However, careful consideration should be given to key barriers of digital health tool adoption, such as infrastructural, patient-level, and health systems-level challenges, to ensure equitable access to care and improvement in health outcomes.

Tracking activities and adaptations in a multi-site stepped wedge pragmatic trial of a cancer symptom management intervention

Background

Pragmatic trials may need to adapt interventions to enhance local fit, and adaptation tracking is critical to evaluation. This study describes the tracking approach for a multisite, stepped-wedge hybrid pragmatic trial testing implementation and effectiveness of a cancer symptom management intervention.

Methods

Study activities were documented in a spreadsheet by date and category. Intervention adaptations were tracked across multiple workgroups in a database structured around the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) domains, e.g., reasons for change. Implementation strategies were tracked longitudinally and by cluster in a database using the Longitudinal Implementation Strategy Tracking System (LISTS) method. A logic model was created at the end of the study to describe core intervention components and implementation strategies with dates of adaptations.

Results

Between January 2019 and January 2023, 187 study activities were documented. Most intervention activities took place early, but there were important intervention refinements during the course of the trial, including the expansion of interventionist roles to add two new disciplines. Eleven intervention adaptations were documented. Most were unplanned and aimed at improving fit or increasing engagement. Thirty-three implementation strategies were documented, the largest number of which were related to educating stakeholders. Most (but not all) component and strategy additions were consistent with the mechanisms of change as hypothesized at trial launch.

Conclusions

A multifaceted approach to adaptation tracking, combined with a logic model, supported identification of meaningful changes for use in evaluation, but further work is needed to minimize burden and ensure robust and practical systems that inform both evaluation and timely decision-making.

Trial

Registration: ClinicalTrials.gov, NCT03892967. Registered on March 25, 2019. https://www.clinicaltrials.gov/.

Disparities in electronic health record portal access and use among patients with cancer

BACKGROUND

Electronic health record-linked portals may improve health-care quality for patients with cancer. Barriers to portal access and use undermine interventions that rely on portals to reduce cancer care disparities. This study examined portal access and persistence of portal use and associations with patient and structural factors before the implementation of 3 portal-based interventions within the Improving the Management of symPtoms during And following Cancer Treatment (IMPACT) Consortium.

METHODS

Portal use data were extracted from electronic health records for the 12 months preceding intervention implementation. Sociodemographic factors, mode of accessing portals (web vs mobile), and number of clinical encounters before intervention implementation were also extracted. Rurality was derived using rural-urban commuting area codes. Broadband access was estimated using the 2015-2019 American Community Survey. Multiple logistic regression models tested the associations of these factors with portal access (ever accessed or never accessed) and persistence of portal use (accessed the portal ≤20 weeks vs ≥21 weeks in the 35-week study period).

RESULTS

Of 28 942 eligible patients, 10 061 (35%) never accessed the portal. Male sex, membership in a racial and ethnic minority group, rural dwelling, not working, and limited broadband access were associated with lower odds of portal access. Younger age and more clinical encounters were associated with higher odds of portal access. Of those with portal access, 25% were persistent users. Using multiple modalities for portal access, being middle-aged, and having more clinical encounters were associated with persistent portal use.

CONCLUSION

Patient and structural factors affect portal access and use and may exacerbate disparities in electronic health record-based cancer symptom surveillance and management.