The Patient-Centered Medical Neighborhood and Diabetes Care

Methods, rationale, and design for a remote pharmacist and navigator-driven disease management program to improve guideline-directed medical therapy in patients with type 2 diabetes at elevated cardiovascular and/or kidney risk

AIM

Describe the rationale for and design of Diabetes Remote Intervention to improVe use of Evidence-based medications (DRIVE), a remote medication management program designed to initiate and titrate guideline-directed medical therapy (GDMT) in patients with type 2 diabetes (T2D) at elevated cardiovascular (CV) and/or kidney risk by leveraging non-physician providers.

METHODS

An electronic health record based algorithm is used to identify patients with T2D and either established atherosclerotic CV disease (ASCVD), high risk for ASCVD, chronic kidney disease, and/or heart failure within our health system. Patients are invited to participate and randomly assigned to either simultaneous education and medication management, or a period of education prior to medication management. Patient navigators (trained, non-licensed staff) are the primary points of contact while a pharmacist or nurse practitioner reviews and authorizes each medication initiation and titration under an institution-approved collaborative drug therapy management protocol with supervision from a cardiologist and/or endocrinologist. Patient engagement is managed through software to support communication, automation, workflow, and standardization.

CONCLUSION

We are testing a remote, navigator-driven, pharmacist-led, and physician-overseen management strategy to optimize GDMT for T2D as a population-level strategy to close the gap between guidelines and clinical practice for patients with T2D at elevated CV and/or kidney risk.

An environmental scan of Ontario Health Teams: a descriptive study

BACKGROUND

Ontario Health Teams (OHTs) are an integrated care system introduced in Ontario, Canada in 2019 after the 14 Local Health Integrated Networks (LHINs) were dissolved. The objective of this study is to give an overview of the current state of the OHT model's implementation, and what priority populations and transitions of care models were identified by OHTs.

METHODS

This scan involved a structured search for each approved OHT of publicly available resources with three main sources: the full application submitted by the OHT, the OHT website, and a Google search with the name of the OHT.

RESULTS

As of July 23, 2021, there were 42 approved OHTs and nine transitions of care programs were identified across nine OHTs. Of the approved OHTs, 38 had identified ten distinct priority populations, and 34 reported partnerships with organizations.

CONCLUSIONS

While the approved OHTs currently cover 86% of Ontario's population, not all OHTs are at the same stage of activity. Several areas for improvement were identified, including public engagement, reporting, and accountability. Moreover, OHTs' progress and outcomes should be measured in a standardized manner. These findings may be of interest to healthcare policy or decision-makers looking to implement similar integrated care systems and improve healthcare delivery in their jurisdictions.

Variations in VA and Medicare Use Among Veterans With Diabetes: Impacts on Ambulatory Care Sensitive Conditions Hospitalizations for 2008, 2009, and 2010

INTRODUCTION

VA and Medicare use among older Veterans has been considered fragmented care, however, it may represent access to needed care.

METHODS

The population studied were Veterans with diabetes, age 66 years and older, dually enrolled in VA and Medicare.

DATA SOURCE/STUDY SETTING

We conducted a dynamic retrospective cohort study with 2008, 2009, and 2010 as the outcome years (Ambulatory Care Sensitive Conditions Hospitalization (ACSC-H) or not). We analyzed administrative data to identify comorbidities; ambulatory care utilization to identify variations in use before hospitalization. We linked 2007 primary care (PC) survey data to assess if organizational factors were associated with ACSC-H.

MEASURES AND ANALYSIS

We identified ACSC-Hs using a validated definition. We categorized VA/Medicare use as: single system; dual system: supplemental specialty care use; or primary care use. Using hierarchical logistic regression models, we tested for associations between VA/Medicare use, organizational characteristics, and ACSC-H controlling for patient-level, organizational-level, and area-level characteristics.

RESULTS

Our analytic population was comprised of 210,726 Medicare-eligible Veterans; more than one quarter had an ACSC-H. We found that single system users had higher odds of ACSC-H compared with dual system specialty supplemental care use (odds ratio, 1.14; 95% confidence interval, 1.09-1.20), and no significant difference between dual-system users. Veterans obtaining care at sites where PC leaders reported greater autonomy (eg, authority over personnel issues) had lower odds of ACSC-H (odds ratio, 0.74; 95% confidence interval, 0.59-0.92).

DISCUSSION

Our findings suggest that earlier assumptions about VA/Medicare use should be weighed against the possibility that neither VA nor Medicare may address complex Veterans' health needs. Greater PC leader autonomy may allow for tailoring of care to match local clinical contexts.

Patient-Centered Specialty Practice: Defining the Role of Specialists in Value-Based Health Care

Health care is at a crossroads and under pressure to add value by improving patient experience and health outcomes and reducing costs to the system. Efforts to improve the care model in primary care, such as the patient-centered medical home, have enjoyed some success. However, primary care accounts for only a small portion of total health-care spending, and there is a need for policies and frameworks to support high-quality, cost-efficient care in specialty practices of the medical neighborhood. The Patient-Centered Specialty Practice (PCSP) model offers ambulatory-based specialty practices one such framework, supported by a formal recognition program through the National Committee for Quality Assurance. The key elements of the PCSP model include processes to support timely access to referral requests, improved communication and coordination with patients and referring clinicians, reduced unnecessary and duplicative testing, and an emphasis on continuous measurement of quality, safety, and performance improvement for a population of patients. Evidence to support the model remains limited, and estimates of net costs and value to practices are not fully understood. The PCSP model holds promise for promoting value-based health care in specialty practices. The continued development of appropriate incentives is required to ensure widespread adoption.

Understanding Population Health Through Diabetes Population Management

A chronic and progressive illness, diabetes requires early diagnosis, effective coordination of care, and self-management to stem its progression. Population health management strategies hold promise to improve outcomes by focusing on reducing the frequency of acute and chronic complications of chronic disease, lowering the cost per service through an integrated care delivery team approach, and promoting patient engagement. This will ultimately result in a better patient experience. The chronic care model targets fragmentation of our health care delivery system and provides a framework for effective care of diabetes and other chronic diseases.

The Impact of New Payment Models on Quality of Diabetes Care and Outcomes

Historic changes in healthcare reimbursement and payment models due to the Affordable Care Act in the United States have the potential to transform how providers care for chronic diseases such as diabetes. Payment experimentation has provided insights into how changing incentives for primary care providers can yield improvements in the triple aim: improving patient experience, improving the health of populations, and reducing costs of healthcare. Much of this has involved leveraging widespread adoption of the patient-centered medical home (PCMH) with diabetes often the focus. While evidence is mounting that the PCMH can improve diabetes outcomes, some PCMH demonstrations have displayed mixed results. One of the first large-scale PCMH demonstrations developed around diabetes was conducted by the Commonwealth of Pennsylvania. Different payment models were employed across a series of staggered regional rollouts that provided a case study for the influence of innovative payment models. These learning laboratories provide insights into the role of reimbursement models and changes in how practice transformation is implemented. Ultimately, evolving payment systems focused on the total cost of care, such as Accountable Care Organizations, hold promise to transform diabetes care and produce significant cost savings through the prevention of complications.

Electronic consultation systems: worldwide prevalence and their impact on patient care-a systematic review

BACKGROUND

Many health organizations are exploring the potential of electronic consultation (eConsult) services to address excessive wait times for specialist care.

OBJECTIVE

To understand the effectiveness, population impact and costs associated with implementation of eConsult services.

METHODS

We conducted a systematic review using a narrative synthesis approach. We searched Medline and Embase from inception to August 2014 (English/French). Included studies focused on communication between primary care providers and specialist physicians through an asynchronous, directed communication over a secure electronic medium. We assessed study quality with a modified version of the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies. We synthesized the results using the Triple Aim framework.

RESULTS

A total of 36 studies were included. Most were set in the USA and focused on single-specialty services (most commonly dermatology). Population health outcomes included patient populations, adoption/utilization and provider attitudes. Providers cited timely advice from specialists, good medical care, confirmation of diagnoses and educational benefits. No clinical outcomes were reported. Patient experience of care was generally positive, with quick specialist response times (4.6 hours to 3.9 days), avoided referrals (12-84%) and satisfaction ranging from 78% to 93%. System costs were reported in only seven studies using different outcome measures and settings, limiting comparability.

CONCLUSION

Though eConsult systems are highly acceptable for patients and providers and deliver improved access to specialist advice, gaps remain regarding eConsult's impact on population health and system costs. To achieve optimized health system performance, eConsult services must include specialty services as determined by community needs and further explore cost-effectiveness.