Virtual Care and Electronic Patient Communication During COVID-19: Cross-sectional Study of Inequities Across a Canadian Tertiary Cancer Center

Optimizing Virtual Follow-Up Care: Realist Evaluation of Experiences and Perspectives of Patients With Breast and Prostate Cancer

BACKGROUND

Virtual follow-up (VFU) has the potential to enhance cancer survivorship care. However, a greater understanding is needed of how VFU can be optimized.

OBJECTIVE

This study aims to examine how, for whom, and in what contexts VFU works for cancer survivorship care.

METHODS

We conducted a realist evaluation of VFU among patients with breast cancer and prostate cancer at an urban cancer center during the COVID-19 pandemic. Realist evaluations examine how underlying causal processes of an intervention (mechanisms) in specific circumstances (contexts) interact to produce results (outcomes). Semistructured interviews were conducted with a purposive sample of patients ≤5 years after diagnosis. Interviews were audio-recorded and analyzed using a realist logic of analysis.

RESULTS

Participants (N=24; n=12, 50% with breast cancer and n=12, 50% with prostate cancer) had an average age of 59.6 (SD 10.7) years. Most participants (20/24, 83%) were satisfied with VFU and wanted VFU options to continue after the COVID-19 pandemic. However, VFU impacted patient perceptions of the quality of their care, particularly in terms of its effectiveness and patient centeredness. Whether VFU worked well for patients depended on patient factors (eg, needs, psychosocial well-being, and technological competence), care provider factors (eg, socioemotional behaviors and technological competence), and virtual care system factors (eg, modality, functionality, usability, virtual process of care, and communication workflows). Key mechanisms that interacted with contexts to produce positive outcomes (eg, satisfaction) were visual cues, effective and empathetic communication, and a trusting relationship with their provider.

CONCLUSIONS

Patients value VFU; however, VFU is not working as well as it could for patients. To optimize VFU, it is critical to consider contexts and mechanisms that impact patient perceptions of the patient centeredness and effectiveness of their care. Offering patients the choice of in-person, telephone, or video visits when possible, coupled with streamlined access to in-person care when required, is important. Prioritizing and addressing patient needs; enhancing physician virtual socioemotional behaviors and technology competency; and enhancing VFU functionality, usability, and processes of care and communication workflows will improve patient perceptions of the patient centeredness and effectiveness of virtual care.

Disparities in clinical trial enrollment at a Canadian comprehensive cancer center: A 15-year retrospective study

INTRODUCTION

Disparities in clinical trials (CTs) enrollment perpetuate inequities in treatment access and outcomes, but there is a paucity of Canadian data. The objective of this study was to examine disparities in cancer CT enrollment at a large Canadian comprehensive cancer center.

METHODS

Retrospective study of CT enrollment among new patient consultations from 2006 to 2019, with follow-up to 2021 (N = 154,880), with the primary outcome of enrollment as a binary variable. Factors associated with CT enrollment were evaluated using multivariable Bayesian hierarchical logistic regression with random effects for most responsible physician (MRP) and geography, adjusted for patient characteristics (sex, age, language, geography, and primary care provider [PCP]), area-level marginalization (residential instability, material deprivation, dependency, and ethnic concentration), disease (cancer site and stage), and MRP (department, sex, language, and training). A sensitivity analysis of the cumulative incidence of enrollment was conducted to account for differences in disease type and follow-up length.

RESULTS

CT enrollment was 11.2% overall, with a 15-year cumulative incidence of 18%. Lower odds of enrollment were observed in patients who were female (adjusted odds ratio [AOR], 0.82; 95% confidence interval [CI], 0.78-0.86), ≥65 years (AOR vs. <40, 0.61; 95% CI, 0.56-0.66), non-English speakers (0.72; 95% CI, 0.67-0.77), living ≥250 km away (AOR vs. <15 km, 0.71; 95% CI, 0.62-0.80), and without a PCP. Disease characteristics accounted for the largest proportion of observed variation (20.8%), with significantly greater odds of enrollment in patients with genitourinary cancers and late-stage disease.

CONCLUSION

Significant sociodemographic disparities were observed, suggesting the need for targeted strategies to increase diversity in access to cancer CTs in Canada.

Digital Health Interventions for Chronic Wound Management: A Systematic Review and Meta-Analysis

BACKGROUND

Digital health interventions (DHIs) have shown promising results for the management of chronic wounds. However, its effectiveness compared to usual care and whether variability in the type of intervention affects wound outcomes are unclear.

OBJECTIVE

The main objective was to determine the effectiveness of DHIs on wound healing outcomes in adult patients with chronic wounds. The secondary objectives were to assess if there was any variation in wound healing outcomes across the various types of DHIs.

METHODS

In total, 9 databases were searched for the literature up to August 1, 2023. Randomized controlled trials (RCTs), cohort studies, and quasi-experimental studies comparing the efficacy of DHIs with controls in improving wound outcomes in adult patients with chronic wounds were included. Study selection, data extraction, and risk of bias assessment were conducted independently by 2 reviewers. We assessed the quality of each RCT, cohort study, and quasi-experimental study separately using the Cochrane risk of bias tool, ROBINS-I, and the Joanna Briggs Institute Critical Appraisal tools checklists. Relative risks (RRs) and 95% CIs were pooled using the random effects model, and heterogeneity was assessed by the I2 statistic. Subgroup analysis and sensitivity analysis were also performed.

RESULTS

A total of 25 studies with 8125 patients were included in this systematic review, while only 20 studies with 6535 patients were included in the meta-analysis. Efficacy outcomes in RCTs showed no significant differences between the DHIs and control groups in terms of wound healing (RR 1.02, 95% CI 0.93-1.12; P=.67) and all-cause mortality around 1 year (RR 1.08, 95% CI 0.55-2.12; P=.83). Compared with the control group, the use of DHIs was associated with significant changes in adverse events (RR 0.44, 95% CI 0.22-0.89; P=.02). Subgroup analysis suggested a positive effect of the digital platforms in improving wound healing (RR 2.19, 95% CI 1.35-3.56; P=.002). Although meta-analysis was not possible in terms of wound size, cost analysis, patient satisfaction, and wound reporting rates, most studies still demonstrated that DHIs were not inferior to usual care in managing chronic wounds.

CONCLUSIONS

The findings of our study demonstrate the viability of adopting DHIs to manage chronic wounds. However, more prominent, high-quality RCTs are needed to strengthen the evidence, and more detailed clinical efficacy research is required.

TRIAL REGISTRATION

PROSPERO CRD42023392415; https://tinyurl.com/4ybz6bs9.

The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic

OBJECTIVE

To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic.

STUDY DESIGN

Cross-sectional survey.

METHODS

An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7).

RESULTS

Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79-18.60), cancer (OR = 8.47; 95% CI = 3.73-19.30), and emergency (OR = 14.2; 95% CI = 5.57-36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52-0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL.

CONCLUSIONS

ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.

Inequalities in patients' experiences with cancer care: the role of economic and health literacy determinants

BACKGROUND

Patients with fewer socioeconomic and health literacy resources are disadvantaged in their access and use of healthcare, which may give rise to worse experiences with care and thus inequalities in patient experiences. However, only a limited number of studies have examined how socioeconomic and health literacy factors shape inequalities in patients' experiences with cancer care.

OBJECTIVE

To examine whether patients' experiences with cancer care differ according to their economic status and health literacy.

METHODS

Secondary analysis of data on 2789 adult patients diagnosed with cancer from the Swiss Cancer Patient Experiences-2 (SCAPE-2) study, a cross-sectional survey conducted in eight hospitals across Switzerland from September 2021 to February 2022. Regression analysis was applied to examine the independent effect of patients' economic status and health literacy on various outcomes of experiences with cancer care, covering eight different dimensions of patient-centred care, controlling for confounding factors.

RESULTS

Adjusted regression analysis showed that patients with lower economic status reported significantly worse experiences with cancer care in 12 out of 29 specific care experiences, especially in the dimensions of 'respect for patients' preferences' and 'physical comfort' where all items of experiences were associated with economic status. Additionally, lower health literacy was associated with worse patient experiences in 23 specific care experiences. All items in the dimensions of 'respect for patients' preferences', 'physical comfort' and 'emotional support' were associated with health literacy.

DISCUSSION

This study revealed significant inequalities in experiences with cancer care shaped by the economic status and health literacy of patients across different dimensions of patient-centred care. It is essential to address the needs of more disadvantaged patients who face obstacles in their access and use of the healthcare system, not only to mitigate inequalities in cancer care but also to avoid inequalities in health outcomes.

Spatial Hotspots and Sociodemographic Profiles Associated With Traumatic Brain Injury in Nova Scotia

Traumatic brain injury (TBI) is a leading cause of death and disability, primarily caused by falls and motor vehicle collisions (MVCs). Although many TBIs are preventable, there is a notable lack of studies exploring the association of geographically defined TBI hotspots with social deprivation. Geographic information systems (GIS) can be used to identify at-risk neighborhoods (hotspots) for targeted interventions. This study aims to determine the spatial distribution of TBI by major causes and to explore the sociodemographic and economic characteristics of TBI hotspots and cold spots in Nova Scotia. Patient data for TBIs from 2003 to 2019 were obtained from the Nova Scotia Trauma Registry. Residential postal codes were geocoded and assigned to dissemination areas (DA). Area-based risk factors and deprivation status (residential instability [RI], economic dependency [ED], ethnocultural composition [EC], and situational vulnerability [SV]) from the national census data were linked to DAs. Spatial autocorrelation was assessed using Moran's I, and hotspot analysis was performed using Getis-Ord Gi* statistic. Differences in risk factors between hot and cold spots were evaluated using the Mann-Whitney U test for numerical variables and the χ2 test or Fisher's exact test for categorical variables. A total of 5394 TBI patients were eligible for inclusion in the study. The distribution of hotspots for falls exhibited no significant difference between urban and rural areas (p = 0.71). Conversely, hotspots related to violence were predominantly urban (p = 0.001), whereas hotspots for MVCs were mostly rural (p < 0.001). Distinct dimensions of deprivation were associated with falls, MVCs, and violent hotspots. Fall hotspots were significantly associated with areas characterized by higher RI (p < 0.001) and greater ethnocultural diversity (p < 0.001). Conversely, the same domains exhibited an inverse relationship with MVC hotspots; areas with low RI and ethnic homogeneity displayed a higher proportion of MVC hotspots. ED and SV exhibited a strong gradient with MVC hotspots; the most deprived quintiles displayed the highest proportion of MVC hotspots compared with cold spots (ED; p = 0.002, SV; p < 0.001). Areas with the highest levels of ethnocultural diversity were found to have a significantly higher proportion of violence-related hotspots than cold spots (p = 0.005). This study offers two significant contributions to spatial epidemiology. First, it demonstrates the distribution of TBI hotspots by major injury causes using the smallest available geographical unit. Second, we disentangle the various pathways through which deprivation impacts the risk of main mechanisms of TBI. These findings provide valuable insights for public health officials to design targeted injury prevention strategies in high-risk areas.