Bridging silos: Delivering integrated care to patients with cancer in Ontario, Canada

Responding to distress in cancer care: Increasing access to psycho oncology services through integrated collaborative care

OBJECTIVE

Despite increased attention to the utility of collaborative care models for promoting whole-person care in cancer populations, there is a paucity of empirical research testing the impact of these care models on effectively identifying and serving highly distressed cancer patients. This study sought to experimentally test the effectiveness of a year-long collaborative care program on referral rates to psycho-oncology services for patients with moderate to high distress.

METHODS

Data for this study consisted of 11,467 adult patients with cancer who were screened for psychosocial distress 6-months prior to, and following, the integrated collaborative care intervention. Psychosocial referral rates pre-, peri- and post- intervention were analyzed.

RESULTS

Findings indicated high distress patients were at 3.76 (95% CI [2.40, 5.87]), 5.03 (95% CI [3.25, 7.76]), and 7.62 (95% CI [5.34, 10.87]) times increased odds of being referred during the pre-intervention, peri-intervention, and post-intervention, respectively, when compared to low distress patients, and these differences across time were significantly different (p = 0.04).

CONCLUSION

Findings from this study suggest that the successful initiation of a collaborative care model within a comprehensive cancer center contributed to significantly greater referral rates of cancer patients with moderate to high distress to psycho-oncology services. This study contributes to the growing consensus that collaborative care models can positively impact the care of complex medical patients.

Reducing Chemotherapy Waiting Times in the Ambulatory Setting of a Tertiary Cancer Centre Using a Design Thinking Approach

INTRODUCTION

Chemotherapy is complex. We hypothesized that a design thinking approach could redesign preparatory processes and reduce wait times.

METHODS

A multidisciplinary process mapping exercise was undertaken to understand the current processes, followed by proposing and testing solutions. Proposals were selected based on desirability and feasibility. These focused on starting the morning treatments on time and scheduling pre-made regimens in these slots. The primary outcome measure was the time from the appointment to starting treatment. Treatments in the post-intervention study group were compared against a historical control group.

RESULTS

The median time to start morning treatment decreased by 46%, from 83 min (with an interquartile range 50-127) in the control group to 45 min (with an interquartile range of 24-81 min) in the study group (p < 0.001). This translated into an overall improvement for the day, with the median time to start treatment decreasing from 77 min (with an interquartile range of 40-120 min) to 47 min (with an interquartile range of 20-79 min) (p < 0.001). Pre-makes increased by 258%, from 908 (28.5%) to 2340 (71.7%) regimens (p < 0.001). The number of patients starting treatment within an hour of their appointment increased from 1688 (32.8%) to 3355 (62.3%, p < 0.001).

CONCLUSION

We have shown that a data-driven, design thinking approach can improve waiting times. This can be adapted to improve other processes in an empathetic, sustainable manner.

Developing Data Sharing Models for Health Research with Real-World Data: A Scoping Review of Patient and Public Preferences

For researchers to realize the benefits of real-world data in healthcare requires broader access to patient data than is currently possible given siloed data systems. To facilitate evidence generation, infrastructure must support integrated data collection and sharing enabled by patient consent. Critical to the success of data sharing is to design secured data sharing platforms around patient preferences and expectations. The objective of this review was to characterize patient and public preferences for secured data sharing platforms and incentives to share real-world data for health research. We conducted a scoping review of the data sharing and health informatics literature capturing patient and public values for data sharing platforms and incentivization. We searched Embase and Medline (OVID) databases for primary data studies. Two reviewers participated in study selection and data abstraction. Findings were summarized according to preference frequency within each major theme. The final search produced 253 articles. After screening, 12 articles were included for data extraction. Two studies discussed preferences for data sharing platforms, 7 discussed incentives preferences, and 3 addressed both. We identified considerable variation of patient and public preferences according to preferred consent mechanisms and level of control, willingness to trade off risks and benefits, and the type of incentivization appropriate to offer for participation. This preference variation informs the conditions under which individuals may be willing to engage with secured data sharing platforms to support research. Our findings indicate that platforms will need to be flexible to meet the diverse preferences of users and facilitate uptake.

The little things are big: evaluation of a compassionate community approach for promoting the health of vulnerable persons

BACKGROUND

Vulnerable persons are individuals whose life situations create or exacerbate vulnerabilities, such as low income, housing insecurity and social isolation. Vulnerable people often receive a patchwork of health and social care services that does not appropriately address their needs. The cost of health and social care services escalate when these individuals live without appropriate supports. Compassionate Communities apply a population health theory of practice wherein citizens are mobilized along with health and social care supports to holistically address the needs of persons experiencing vulnerabilities.

AIM

The purpose of this study was to evaluate the implementation of a compassionate community intervention for vulnerable persons in Windsor Ontario, Canada.

METHODS

This applied qualitative study was informed by the Consolidated Framework for Implementation Research. We collected and analyzed focus group and interview data from 16 program stakeholders: eight program clients, three program coordinators, two case managers from the regional health authority, one administrator from a partnering community program, and two nursing student volunteers in March through June 2018. An iterative analytic process was applied to understand what aspects of the program work where and why.

RESULTS

The findings suggest that the program acts as a safety net that supports people who are falling through the cracks of the formal care system. The 'little things' often had the biggest impact on client well-being and care delivery. The big and little things were achieved through three key processes: taking time, advocating for services and resources, and empowering clients to set personal health goals and make authentic community connections.

CONCLUSION

Compassionate Communities can address the holistic, personalized, and client-centred needs of people experiencing homelessness and/or low income and social isolation. Volunteers are often untapped health and social care capital that can be mobilized to promote the health of vulnerable persons. Student volunteers may benefit from experiencing and responding to the needs of a community's most vulnerable members.

In Limbo: Seven Families' Experiences of Encounter with Cancer Care in Norway

INTRODUCTION

Like many other countries, Norway has seen a shift from inpatient to outpatient cancer care, with pathways aimed at improving the integration and coordination of health services. This study explores the perspectives of seven patients and their family members in light of this change. We focus on one particular phase of the pathway: the first encounter. Our interviews were set in the period from referral until the start of treatment.

METHODS

Nineteen individual in-depth interviews were conducted in seven families. Seven patients with cancer and 12 family members were interviewed.

RESULTS

Three categories of experiences stood out in the empirical material: 'Being in between different health professionals', 'Overwhelmed by written and oral information' and 'Lack of involvement'.

CONCLUSION

This study provides insight into families' experiences with cancer care from referral until the start of treatment. Our findings indicate that families often experience cancer care as fragmented and confusing. Although evaluations have shown that the introduction of cancer pathways seems to have a positive effect on waiting times and standardization of examinations across hospitals and regions, there is still potential for improvement in coordination between services, family involvement, and emotional and practical support. We argue that our findings highlight the tension between two ideals of professional care: standardization and patient-centredness. The study illustrates shortcomings in translating the ideal of patient-centredness into professional practice.

Empowering Implementation Teams with a Learning Health System Approach: Leveraging Data to Improve Quality of Care for Transient Ischemic Attack

BACKGROUND

Questions persist about how learning healthcare systems should integrate audit and feedback (A&F) into quality improvement (QI) projects to support clinical teams' use of performance data to improve care quality.

OBJECTIVE

To identify how a virtual "Hub" dashboard that provided performance data for patients with transient ischemic attack (TIA), a resource library, and a forum for sharing QI plans and tools supported QI activities among newly formed multidisciplinary clinical teams at six Department of Veterans Affairs (VA) medical centers.

DESIGN

An observational, qualitative evaluation of how team members used a web-based Hub.

PARTICIPANTS

External facilitators and multidisciplinary team members at VA facilities engaged in QI to improve the quality of TIA care.

APPROACH

Qualitative implementation process and summative evaluation of observational Hub data (interviews with Hub users, structured field notes) to identify emergent, contextual themes and patterns of Hub usage.

KEY RESULTS

The Hub supported newly formed multidisciplinary teams in implementing QI plans in three main ways: as an information interface for integrated monitoring of TIA performance; as a repository used by local teams and facility champions; and as a tool for team activation. The Hub enabled access to data that were previously inaccessible and unavailable and integrated that data with benchmark and scientific evidence to serve as a common data infrastructure. Led by champions, each implementation team used the Hub differently: local adoption of the staff and patient education materials; benchmarking facility performance against national rates and peer facilities; and positive reinforcement for QI plan development and monitoring. External facilitators used the Hub to help teams leverage data to target areas of improvement and disseminate local adaptations to promote resource sharing across teams.

CONCLUSIONS

As a dynamic platform for A&F operating within learning health systems, hubs represent a promising strategy to support local implementation of QI programs by newly formed, multidisciplinary teams.

Assessing the Impact of Early Identification of Patients Appropriate for Palliative Care on Resource Use and Costs in the Final Month of Life

PURPOSE:

This study evaluates whether an intervention to identify Canadian patients eligible for a palliative approach changes the use of health care resources and costs within the final month of life.

METHODS:

Between 2014 and 2017, physicians identified 1,187 patients in family practice units and cancer centers who were likely to die within 1 year based on diagnosis, symptom assessment, and performance status. A multidisciplinary intervention that included activation of community resources and initiation of palliative planning was started. By using propensity-score matching, patients in the intervention group were matched 1:1 with nonintervention controls selected from provincial administrative data. We compared health care use and costs (using 2017 Canadian dollars) for 30 days before death between patients who died within the 1-year follow-up and matched controls.

RESULTS:

Groups (n = 629 in each group) were well-balanced in sociodemographic characteristics, comorbidities, and previous health care use. In the last 30 days, there was no differences in proportions between the two groups of patients regarding emergency department visits, intensive care unit admissions, or inpatient hospitalizations. However, patients in the intervention group had greater use of palliative physician encounters, community home care visits, and/or physician home visits (92.8% v 88.4%; P = .007). In the 507 pairs with cancer, more patients in the intervention group underwent chemotherapy (44% v 33%; P < .001) and radiation (18.7% v 3.2%; P = .043) in the last 30 days. Mean cost per patient was similar for the intervention group (mean, $17,231; 95% CI, $16,027 to $18,436) and for the control group (mean, $16,951; 95% CI, $15,899 to $18,004).

CONCLUSION:

Even with the limitations in our observational study design, identification of palliative patients did not significantly change overall costs but may shift resources toward palliative services.

Organizational Silos: A Scoping Review Informed by a Behavioral Perspective on Systems and Networks

In recent years, several organizations have implemented interventions aimed at integrating work processes and bridging network clusters. These are often permeated by different assumptions regarding clusters in organizational settings. There are concerns about the formation of silos and structural barriers to communication across the formal and informal network structures. Conversely, network clusters are regarded as spaces of local social reinforcement from which innovation ideas may emerge. Although terminologically and functionally different, they share some common features insofar as organizational behavior is concerned and the production of artifacts that fulfill organizational goals. The present scoping review presents an analysis of the literature on organizational silos while investigating attempts to bridge network clusters. Based on the search results, 40 studies were included in the analysis of the findings; of these, 20 were empirical studies and were included in a further quantitative analysis of methods and findings. We identified patterns of definitions of silos and variation in terms of aims, variables, and methods used to evaluate interventions among the heterogeneous studies. Special attention was dedicated to the role of consequences of siloed organizational behavior. We conclude that silos comprise barriers to achieving organizational goals insofar as they pose a threat to internal cooperation.

Does early palliative identification improve the use of palliative care services?

Purpose

To evaluate whether the early identification of patients who may benefit from palliative care impacts on the use of palliative, community and acute-based care services.

Methods

Between 2014 and 2017, physicians from eight sites were encouraged to systematically identify patients who were likely to die within one year and would were thought to benefit from early palliative care. Patients in the INTEGRATE Intervention Group were 1:1 matched to controls selected from provincial healthcare administrative data using propensity score-matching. The use of palliative care, community-based care services (home care, physician home visit, and outpatient opioid use) and acute care (emergency department, hospitalization) was each evaluated within one year after the date of identification. The hazard ratio (HR) in the Intervention Group was calculated for each outcome.

Results

Of the 1,185 patients in the Intervention Group, 951 (80.3%) used palliative care services during follow-up, compared to 739 (62.4%) among 1,185 patients in the Control Group [HR of 1.69 (95% CI 1.56 to 1.82)]. The Intervention Group also had higher proportions of patients who used home care [81.4% vs. 55.2%; HR 2.07 (95% CI 1.89 to 2.27)], had physician home visits [35.5% vs. 23.7%; HR 1.63 (95% CI 1.46 to 1.92)] or had increased outpatient opioid use [64.3% vs. 52.1%); HR 1.43 (95% CI 1.30 to 1.57]. The Intervention Group was also more likely to have a hospitalization that was not primarily focused on palliative care (1.42 (95% CI 1.28 to 1.58)) and an unplanned emergency department visit for non-palliative care purpose (1.47 (95% CI 1.32 to 1.64)).

Conclusion

Physicians actively identifying patients who would benefit from palliative care resulted in increased use of palliative and community-based care services, but also increased use of acute care services.