Colorectal Cancer: Applying the Value Transformation Framework to increase the percent of patients receiving screening in Federally Qualified Health Centers

Advancing Virtual at-Home Care for Community Health Center Patients Using Patient Self-Care Tools, Technology, and Education

Introduction

Health centers are community-based, patient directed primary care providers that offer accessible, high-quality primary care within medically underserved communities. Screening for cancer and managing complex chronic conditions such as diabetes, hypertension, obesity, and depression are vital services for the vulnerable populations seen by community health centers. Delivering care for complex chronic conditions and preventive services using virtual models that integrate self-care tools and technology is an important approach to increasing access for hard-to-reach patients served by health centers.

Objective

This study aimed to explore the use of a virtual care model, applied using a systems approach and patient-driven tools and technology, on the performance of clinical and patient experience measures.

Methods

A virtual care model, applied using a systems approach offered by the Value Transformation Framework (VTF), was combined with self-care tools and technology in twenty health centers across 17 states to drive improvement efforts. Changes in clinical measures and patient experience were compared.

Results

A total of 385 patients were enrolled and 270 (70.1%) completed a baseline visit and at least four virtual visits during the six-month intervention period. Statistically significant improvements were seen in measures for HbA1c, systolic and diastolic blood pressure, and bodyweight. Among the 270 who completed the baseline and at least 4 virtual visits, the percentage up-to-date for colorectal cancer screening increased from 113/270 (41.9%) to 169/270 (62.6%) after six months, p<0.001, a 20.7% increase. Patients completing the baseline visit and at least 4 virtual visits reported a 10.7% decrease in depression and increased satisfaction with virtual care visits compared to in-person visits (p<0.001).

Conclusion

Health centers applying the Value Transformation Framework's organizing framework to the use of virtual care models together with patient self-care tools, technology, and education, had improvements in measures for chronic and preventive conditions and patient experience.

Evidence-Based Quality Improvement: a Scoping Review of the Literature

BACKGROUND

Quality improvement (QI) initiatives often reflect approaches based on anecdotal evidence, but it is unclear how initiatives can best incorporate scientific literature and methods into the QI process. Review of studies of QI initiatives that aim to systematically incorporate evidence review (termed evidence-based quality improvement (EBQI)) may provide a basis for further methodological development.

METHODS

In this scoping review (registration: https://osf.io/hr5bj ) of EBQI, we searched the databases PubMed, CINAHL, and SCOPUS. The review addressed three central questions: How is EBQI defined? How is evidence used to inform evidence-informed QI initiatives? What is the effectiveness of EBQI?

RESULTS

We identified 211 publications meeting inclusion criteria. In total, 170 publications explicitly used the term "EBQI." Published definitions emphasized relying on evidence throughout the QI process. We reviewed a subset of 67 evaluations of QI initiatives in primary care, including both studies that used the term "EBQI" with those that described an evidence-based initiative without using EBQI terminology. The most frequently reported EBQI components included use of evidence to identify previously tested effective QI interventions; engaging stakeholders; iterative intervention development; partnering with frontline clinicians; and data-driven evaluation of the QI intervention. Effectiveness estimates were positive but varied in size in ten studies that provided data on patient health outcomes.

CONCLUSIONS

EBQI is a promising strategy for integrating relevant prior scientific findings and methods systematically in the QI process, from the initial developmental phase of the IQ initiative through to its evaluation. Future QI researchers and practitioners can use these findings as the basis for further development of QI initiatives.

The Value Transformation Framework: Applied to Diabetes Control in Federally Qualified Health Centers

Introduction

Diabetes and pre-diabetes impact more than 114 million Americans. Federally qualified health centers (FQHCs) provide care to some of the most high-risk and underinsured individuals throughout the US, twenty-one percent of whom report being told they have diabetes, compared to 11% of the general adult population. It is widely agreed our health care system requires a transformation to effectively address diabetes and its complications.

Objective

By applying the Value Transformation Framework (VTF) in health centers, the National Association of Community Health Centers (NACHC) aims to show improvements in diabetes control. This systematic strategy to transform the way health centers operate can lead to improvements in health outcomes, patient and staff experiences, costs, and equity (Quintuple Aim). Special attention is paid to the health centers’ infrastructure, people systems and care delivery systems.

Methods

Evidence-based diabetes interventions, the learning community model, and the VTF were used together to drive system improvements and activate proven diabetes control practices within eight health centers. Multidisciplinary teams at select health centers in Georgia and Iowa, with their partner primary care associations, participated in this NACHC-led quality improvement project.

Results

During the one-year intervention (January 2017–December 2017), the mean raw percentage of patients with HbA1c Poor Control decreased from 50.9% (range, 23.7–70.4%) in January to 27.5% (range, 13.6–37.4%) in December. This represents a relative improvement in diabetes control of 46%. The 1-year-intervention data also showed trends in the desired direction with statistically significant improvements related to the following interventions: a formal written clinical policy, standing orders, patient recall/outreach, performance data shared at the provider/team-level, and performance data shared at the site/organization level.

Conclusion

A conceptual model focused on transforming health center systems, organized by the NACHC Value Transformation Framework and supported by a strong learning community, can lead to better diabetes control outcomes among patients seen at health centers.

The Value Transformation Framework: An Approach to Value-Based Care in Federally Qualified Health Centers

BACKGROUND

With the transition toward value-based care, health care organizations have a business imperative to simultaneously focus on improved health outcomes, improved patient and staff experience, and reduced costs (the Quadruple Aim). For federally qualified health centers-which provide care to some of nation's most vulnerable populations-balancing the complex task of systems change in the face of overwhelming volumes of information and best practices is challenging and can be supported through a guiding framework.

PURPOSE

This need for synthesis and translation of evidence in an actionable and practical way led to the design of a model for health center systems change. This article describes the development process and defines the resulting conceptual framework.

METHODS

Deployed a four-step process between 2016 and 2018 to develop and test a framework for value transformation in health centers.

RESULTS

NACHC's Quality Center developed the Value Transformation Framework to guide health center systems change toward high value care. The framework identifies 15 change areas across three Domains: infrastructure, care delivery, and people and summarizes evidence-based action steps within the change areas.

CONCLUSIONS

The framework shows promise in supporting health center efforts to adapt, transform, and balance competing demands as they advance value-based models of care.