Managing intergroup silos to improve patient flow.

BACKGROUND: Health care managers face the critical challenge of overcoming divisions among the many groups involved in patient care, a problem intensified when patients must flow across multiple settings. Surprisingly, however, the patient flow literature rarely engages with its intergroup dimension. PURPOSE: This study explored how managers with responsibility for patient flow understand and approach intergroup divisions and "silo-ing" in health care. METHODOLOGY/APPROACH: We conducted in-depth interviews with 300 purposively sampled senior, middle, and frontline managers across 10 Canadian health jurisdictions. We undertook thematic analysis using sensitizing concepts drawn from the social identity approach. RESULTS: Silos, at multiple levels, were reported in every jurisdiction. The main strategies for ameliorating silos were provision of formal opportunities for staff collaboration, persuasive messages stressing shared values or responsibilities, and structural reorganization to redraw group boundaries. Participants emphasized the benefits of the first two but described structural change as neither necessary nor sufficient for improved collaboration. CONCLUSION: Silos, though an unavoidable feature of organizational life, can be managed and mitigated. However, a key challenge in redefining groups is that the easiest place to draw boundaries from a social identity perspective may not be the best place from one of system design. Narrowly defined groups forge strong identities more easily, but broader groups facilitate coordination of care by minimizing the number of boundaries patients must traverse. PRACTICE IMPLICATIONS: A thoughtfully designed combination of strategies may help to improve intergroup relations and their impact on flow. It may be ideal to foster a "mosaic" identity that affirms group allegiances at multiple levels.

The "hard, relentless, never-ending" work of focusing on discharge: a qualitative study of managers' perspectives.

PURPOSE: Interventions to hasten patient discharge continue to proliferate despite evidence that they may be achieving diminishing returns. To better understand what such interventions can be expected to accomplish, the authors aim to critically examine their underlying program theory. DESIGN/METHODOLOGY/APPROACH: Within a broader study on patient flow, spanning 10 jurisdictions across Western Canada, the authors conducted in-depth interviews with 300 senior, middle and frontline managers; 174 discussed discharge initiatives. Using thematic analysis informed by a Realistic Evaluation lens, the authors identified the mechanisms by which discharge activities were believed to produce their impacts and the strategies and context factors necessary to trigger the intended mechanisms. FINDINGS: Managers' accounts suggested a common program theory that applied to a wide variety of discharge initiatives. The chief mechanism was inculcation of a sharp focus on discharge; reinforcing mechanisms included development of shared understanding and a sense of accountability. Participants reported that these mechanisms were difficult to produce and sustain, requiring continual active management and repeated (re)introduction of interventions. This reflected a context in which providers, already overwhelmed with competing demands, were unlikely to be able (or perhaps even willing) to sustain a focus on this particular aspect of care. ORIGINALITY/VALUE: The finding that "discharge focus" emerged as the core mechanism of discharge interventions helps to explain why such initiatives may be achieving limited benefit. There is a need for interventions that promote timely discharge without relying on this highly problematic mechanism.

Using integrated technology to create quality care for older adults: a feasibility study.

PURPOSE: Slow changes in older adults' health status are often not detected until they escalate. Our aim was to understand if e-technology can enhance the safety and quality of older adult care by detecting changes in health status early. METHODS: E-technology was implemented with 30 seniors in an assisted living facility. We used wireless devices to monitor blood pressure, oxygen saturation, weight, and hydration. This 1-year feasibility study included: a readiness assessment, procuring devices, developing an alert software, training staff, and weekly monitoring for several months. RESULTS: Analysis of service utilization data showed no significant differences in number of emergency or hospital visits between the intervention and control group. Qualitative data suggested residents were satisfied with the e-technology. Among staff, several saw value in weekly monitoring, however staff emphasized the need for devices to be suitable for older adults. CONCLUSION: It is imperative that researchers work with facilities to ensure there is value-added in implementing new technology. Staff feedback helped fine-tune devices, training materials, and measurement process. It took longer than anticipated to procure suitable devices, set up the software, and recruit residents, thus limiting data collection. Future studies should dedicate more time to implementation and propose longer timelines.

Evaluation of the awareness and effectiveness of IT security programs in a large publicly funded health care system.

BACKGROUND: Electronic health records are becoming increasingly common in the health care industry. Although information technology (IT) poses many benefits to improving health care and ease of access to information, there are also security and privacy risks. Educating health care providers is necessary to ensure proper use of health information systems and IT and reduce undesirable outcomes. OBJECTIVE: This study evaluated employees' awareness and perceptions of the effectiveness of two IT educational training modules within a large publicly funded health care system in Canada. METHOD: Semi-structured interviews and focus groups included a variety of professional roles within the organisation. Participants also completed a brief demographic data sheet. With the consent of participants, all interviews and focus groups were audio recorded. Thematic analysis and descriptive statistics were used to evaluate the effectiveness of the IT security training modules. RESULTS: Five main themes emerged: (i) awareness of the IT training modules, (ii) the content of modules, (iii) staff perceptions about differences between IT security and privacy issues, (iv) common breaches of IT security and privacy, and (v) challenges and barriers to completing the training program. Overall, nonclinical staff were more likely to be aware of the training modules than were clinical staff. We found e-learning was a feasible way to educate a large number of employees. However, health care providers required a module on IT security and privacy that was relatable and applicable to their specific roles. CONCLUSION: Strategies to improve staff education and mitigate against IT security and privacy risks are discussed. Future research should focus on integrating health IT competencies into the educational programs for health care professionals.

Indicators and Measurement Tools for Health Systems Integration: A Knowledge Synthesis.

BACKGROUND: Despite far reaching support for integrated care, conceptualizing and measuring integrated care remains challenging. This knowledge synthesis aimed to identify indicator domains and tools to measure progress towards integrated care. METHODS: We used an established framework and a Delphi survey with integration experts to identify relevant measurement domains. For each domain, we searched and reviewed the literature for relevant tools. FINDINGS: From 7,133 abstracts, we retrieved 114 unique tools. We found many quality tools to measure care coordination, patient engagement and team effectiveness/performance. In contrast, there were few tools in the domains of performance measurement and information systems, alignment of organizational goals and resource allocation. The search yielded 12 tools that measure overall integration or three or more indicator domains. DISCUSSION: Our findings highlight a continued gap in tools to measure foundational components that support integrated care. In the absence of such targeted tools, "overall integration" tools may be useful for a broad assessment of the overall state of a system. CONCLUSIONS: Continued progress towards integrated care depends on our ability to evaluate the success of strategies across different levels and context. This study has identified 114 tools that measure integrated care across 16 domains, supporting efforts towards a unified measurement framework.

Evaluation of the antipsychotic medication review process at four long-term facilities in Alberta.

PURPOSE: The goal of this evaluation was to understand how four long-term care (LTC) facilities in Alberta have implemented medication reviews for the Appropriate Use of Antipsychotics (AUA) initiative. We aimed to determine how interprofessional (IP) collaboration was incorporated in the antipsychotic medication reviews and how the reviews had been sustained. METHODS: Four LTC facilities in Alberta participated in this evaluation. We conducted semistructured interviews with 18 facility staff and observed one antipsychotic medication review at each facility. We analyzed data according to the following key components that we identified as relevant to the antipsychotic medication reviews: the structure of the reviews, IP interactions between the staff members, and strategies for sustaining the reviews. RESULTS: The duration of antipsychotic medication reviews ranged from 1 to 1.5 hours. The number of professions in attendance ranged from 3 to 9; a pharmacist led the review at two sites, while a registered nurse led the review at one site and a nurse practitioner at the remaining site. The number of residents discussed during the review ranged from 6 to 20. The process at some facilities was highly IP, demonstrating each of the six IP competencies. Other facilities conducted the review in a less IP manner due to challenges of physician involvement and staff workload, particularly of health care aides. Facilities that had an nurse practitioner on site were more efficient with the process of implementing recommendations resulting from the medication reviews. CONCLUSION: The LTC facilities were successful in implementing the medication review process and the process seemed to be sustainable. A few challenges were observed in the implementation process at two facilities. IP practice moved forward the goals of the AUA initiative to reduce the inappropriate use of antipsychotics.

Scope of practice review: providers for triage and assessment of spine-related disorders.

PURPOSE: This study explored which health care providers could be involved in centralized intake for patients with nonspecific low back pain to enhance access, continuity, and appropriateness of care. METHODS: We reviewed the scope of practice regulations for a range of health care providers. We also conducted telephone interviews with 17 individuals representing ten provincial colleges and regulatory bodies to further understand providers' legislated scopes of practice. Activities relevant to triaging and assessing patients with low back pain were mapped against professionals' scope of practice. RESULTS: Family physicians and nurse practitioners have the most comprehensive scopes and can complete all restricted activities for spine assessment and triage, while the scope of registered nurses and licensed practical nurses are progressively narrower. Chiropractors, occupational therapists, physiotherapists, and athletic therapists are considered experts in musculoskeletal assessments and appear best suited for musculoskeletal specific assessment and triage. Other providers may play a complementary role depending on the individual patient needs. CONCLUSION: These findings indicate that an interprofessional assessment and triage team that includes allied health professionals would be a feasible option to create a centralized intake model. Implementation of such teams would require removing barriers that currently prevent providers from delivering on their full scope of practice.

Optimizing the interprofessional workforce for centralized intake of patients with osteoarthritis and rheumatoid disease: case study.

INTRODUCTION: This case study was part of a larger programme of research in Alberta that aims to develop an evidence-based model to optimize centralized intake province-wide to improve access to care. A centralized intake model places all referred patients on waiting lists based on severity and then directs them to the most appropriate provider or service. Our research focused on an in-depth assessment of two well-established models currently in place in Alberta to 1) enhance our understanding of the roles and responsibilities of staff in current intake processes, 2) identify workforce issues and opportunities within the current models, and 3) inform the potential use of alternative providers in the proposed centralized intake model. CASE DESCRIPTION: Our case study included two centralized intake models in Alberta associated with three clinics. One model involved one clinic that focuses on rheumatoid disease. The other model involved two clinics that focus on osteoarthritis. We completed a document review and interviews with managers and staff from both models. Finally, we reviewed the scope of practice regulations for a range of health-care providers to examine their suitability to contribute to the centralized intake process of osteoarthritis and rheumatoid disease. DISCUSSION AND EVALUATION: Interview findings from both models suggested a need for an electronic medical record and eReferral system to improve the efficiency of the current process and reduce staff workload. Staff interviewed also spoke of the need to have a permanent musculoskeletal screener available to streamline the intake process for osteoarthritis patients. Both models relied on registered nurses, medical office assistants, and physicians throughout their intake process. Our scope of practice review revealed that several providers have the competencies to screen, assess, and provide case management at different junctures in the centralized intake of patients with osteoarthritis and rheumatoid disease. CONCLUSIONS: Using a broader range of providers in the centralized intake of osteoarthritis and rheumatoid disease has the potential to improve access and care specifically related to the assessment and management of patients. This may enhance the patient care experience and address current access issues.

A prediction algorithm for first onset of major depression in the general population: development and validation.

OBJECTIVE: Prediction algorithms are useful for making clinical decisions and for population health planning. However, such prediction algorithms for first onset of major depression do not exist. The objective of this study was to develop and validate a prediction algorithm for first onset of major depression in the general population. METHODS: Longitudinal study design with approximate 3-year follow-up. The study was based on data from a nationally representative sample of the US general population. A total of 28 059 individuals who participated in Waves 1 and 2 of the US National Epidemiologic Survey on Alcohol and Related Conditions and who had not had major depression at Wave 1 were included. The prediction algorithm was developed using logistic regression modelling in 21 813 participants from three census regions. The algorithm was validated in participants from the 4th census region (n=6246). Major depression occurred since Wave 1 of the National Epidemiologic Survey on Alcohol and Related Conditions, assessed by the Alcohol Use Disorder and Associated Disabilities Interview Schedule-diagnostic and statistical manual for mental disorders IV. RESULTS: A prediction algorithm containing 17 unique risk factors was developed. The algorithm had good discriminative power (C statistics=0.7538, 95% CI 0.7378 to 0.7699) and excellent calibration (F-adjusted test=1.00, p=0.448) with the weighted data. In the validation sample, the algorithm had a C statistic of 0.7259 and excellent calibration (Hosmer-Lemeshow χ(2)=3.41, p=0.906). CONCLUSIONS: The developed prediction algorithm has good discrimination and calibration capacity. It can be used by clinicians, mental health policy-makers and service planners and the general public to predict future risk of having major depression. The application of the algorithm may lead to increased personalisation of treatment, better clinical decisions and more optimal mental health service planning.

Development and validation of prediction algorithms for major depressive episode in the general population.

BACKGROUND: To develop and validate sex specific prediction algorithms for 4-year risk of major depressive episode (MDE) using data from a population-based longitudinal cohort. METHODS: Household residents from 10 provinces were randomly recruited and interviewed by Statistics Canada. 10,601 participants who were aged 18 years and older and who did not meet the criteria for MDE in the 12 months prior to a baseline interview in 2000/01 were included in algorithm development; data from 7902 participants who were aged 18 and older and who were free of MDE in 2004/05 were used for validation. Validation was also conducted in sub-populations that are of practice and policy importance. MDE was assessed using the World Health Organization's Composite International Diagnostic Interview(CIDI)-Short Form for Major Depression (CIDI-SFMD). RESULTS: In the training data, the C statistics for algorithms in men was 0.7953 and was 0.7667 for algorithm in women. The algorithms had good predictive power and calibrated well in the development and validation data. LIMITATIONS: The data relied on self-report. MDE was assessed with CIDI-SFMD. It was not feasible to validate the algorithms in different populations from different countries. CONCLUSIONS: More studies are needed to further validate and refine these algorithms. However, the ability of a small number of easily assessed variables to predict MDE risk indicates that algorithms are a promising strategy for identifying individuals in need of enhanced monitoring and preventive interventions. Ultimately, application of algorithms may lead to increased personalization of treatment, and better clinical outcomes.