Resource Search Results

Building and Sustaining a Data Driven Culture: HITEQ Webinar (2019). Resource Type: Archived Webinar. Description: The HITEQ Center conducted a webinar on building and sustaining a data driven culture for Community Health Care Association of New York State. This webinar introduced concepts, tools and examples to help manage data as a strategic asset, align data strategy with organizational strategy, and explored ways to implement a data services function. More Details...

HITEQ Highlights: Growing and Sustaining a Data Driven Culture (2019). Resource Type: Archived Webinar. Description: Building on the HITEQ Center’s previous webinars that introduced an Analytic Capability Assessment, building a roadmap for action and using data governance to maximize the value of data, the third webinar in this series explored how to grow and sustain these efforts. More Details...

Annual UDS Clinical Measure Data Dashboard: Excel Tool for Data Monitoring (2019). Resource Type: Publication. Description: This Excel file dashboard was shared by an existing health center and is used to depict performance on UDS measures over time. It was recently updated 2018 reporting requirements and clinical measures. More Details...

Reporting of Community Health Workers in the Uniform Data System (2019). Resource Type: Publication. Description: With Community Health Workers (CHWs) identified as a unique staffing category in the Uniform Data System (UDS) for the first time in 2016, the number of FTEs reported has been much lower than expected (879 FTEs across 1367 grantees). Although in 2017, a slight increase was shown (1,130.36 across 1373 grantees), these figures appear inconsistent with the anecdotal evidence of widespread utilization of CHWs in Health Center settings. These inconsistencies may reflect unclear guidance on how to accurately identify and report the work of CHWs. More Details...

HUD Policy Brief for Health Centers - Data Matching with Housing Community: Understanding the Role and Impact of Housing Policy for Health Centers (Data Matching) (2019). Resource Type: Publication. Description: Health centers and housing providers are serving the same clients, and HUD policies foster opportunities for partners to effectively share data target and improve Health Outcomes. This series translates federal housing policies to help health centers understand the impact and how to coordinate and adapt programming to create the most beneficial outcomes for clients. More Details...

Update on the HRSA UDS Sealant Measure - December 2018 (2018). Resource Type: Archived Webinar. Description: In 2015, HRSA introduced the first oral health clinical quality measure to the UDS, with the UDS Sealants Measure. This session will highlight the 2017 UDS data results for the dental sealants measure. Topics to be included: common challenges health centers have experienced in developing, modifying, and/or implementing clinical workflows and procedures to report on the measure. Best practices and work-arounds to address data collection and reporting challenges will be shared for those health centers that are not yet using the EDR vendor-developed solutions for reporting on the measure. More Details...

Behavioral Health Integration Compendium: Curated Guidance and Resources from Experienced Organizations, developed with Chiron Strategy Group (2018). Resource Type: Publication. Description: Many health centers collaborate with external behavioral health providers or provide co-located or integrated behavioral health services within their health center. Some of the most significant challenges are determining which data to share, how to store it within the Electronic Health Record, and how to use it within primary care. This compendium of literature and resources offers some guidance related to behavioral health data integration, complete with key health center considerations for each. Many health centers collaborate with external behavioral health providers or provide co-located or integrated behavioral health services within their health center. Some of the most significant challenges are determining which data to share, how to store it within the Electronic Health Record, and how to use it within primary care. This compendium of literature and resources offers some guidance related to behavioral health data integration, complete with key health center considerations for each. Click on each heading below to access the original pieces being profiled. Integrating Behavioral and Primary Care — Technology and Collaboration This article focuses on the challenges of integrating data between primary care and behavioral health. It discusses a number of concerns, and approaches that have been taken, including the benefits of developing structured data within the EHR. Health Center Takeaway: Patient consent for sharing sensitive health information can be integrated into the EHR, which will allow for greater information sharing while complying with Federal privacy expectations. Can technology shape the future of behavioral health? This article includes a number of different ways that technology plays a part in integrated behavioral health, highlighting: Adoption of telehealth as a means to augment care; Inclusion of behavioral health data in Health Information Exchanges, citing the experience of Arizona; and An example of an application being developed with NIH support that hopes to provide collaborative care tools to patients. Health Center Takeaway: Health centers are encouraged to investigate whether insurers will reimburse for telehealth and what is required to do so, to see if developing a telehealth program might augment the availability of behavioral health services for your patients. HITEQ has a number of resources related to telehealth. Integrated Behavioral Health Partners Three Case Studies on Behavioral Health Data Sharing Three California case studies where organizations shared behavioral health data.  The website includes details regarding mental health data, substance use data, consent, methods of sharing, and challenges. Health Center Takeaway: Use these examples of different approaches to consent and level of information sharing to foster conversation among your leadership on how to create greater data integration. Center for Health Care Strategies Integrating Physical and Behavioral Health Care in Medicaid Toolkit Section IV: Information Exchange CHCS has developed a rich resource for behavioral health integration.  This section focuses on information exchange, and has a number of helpful resources identified. Health Center Takeaway: The last two resources are integrated care plan templates; if you have an external behavioral health partner, consider how you might share data between the two organizations in a standardized format. Patient-Centered Primary Care Institute Behavioral Health Integration: Obstacles & Successes Lessons learned from this interview: Change the mindset from the bringing together of two services to truly integrating whole health Shift from historic care delivery methods to a focus on achieving better health outcomes Building trust with primary care providers is essential Health Center Takeaway: Determining what patients need will help guide the type of integration services your health center develops, which can include different approaches for different sites. SAMHSA’s Quick Start Guide to Behavioral Health Integration for Safety-Net Primary Care Providers This guide helps any health center think about where it is in the process of integrating behavioral health, with a number of embedded links for additional information. Key areas of Administration, Workforce, and Clinical Practice. Health Center Takeaway: Use this guide to identify barriers to a fully-developed program, and find resources to help overcome them. Zufall Health Center Integrated Behavioral Health and Primary Care Change Package Zufall Health Center partnered with a local behavioral health system to create an Integrated Behavioral Health system, using grant funding to help support the pilot. This collection of lessons learned focuses on: Leadership Commitment Clinical Information Systems and Measurable Improvement Integrated Care Delivery Clinical Decision Support Patient/Family Engagement Health Center Takeaway: Leadership must assess organizational capacity to collaborate, and then collect baseline data on health outcomes, including preventative screenings, ED visits, hospitalizations as some of the early steps. Implementing measurement and management of key clinical outcomes are critical next steps. NCQA Mainstreaming Behavioral Health Care NCQA has developed a Distinction in Behavioral Health Integration, which allows recognition of Patient Centered Medical Homes who have integrated care teams in place using evidence-based protocols and ongoing quality measurement and improvement. Health Center Takeaway: Many health centers have achieved recognition as a Patient Centered Medical Home PCMH or are along the way.  Aligning behavioral health integration work to earn this Distinction can help provide a roadmap for implementation of integration activities, and externally create validation for potential funders. How Intermountain Healthcare's Mental Health Integration is Improving Care Intermountain Healthcare is a large health system, with 22 hospitals and 180 clinics. It has been developing Mental Health Integration services for a number of years, with three key components: Their mental health assessment tool activates a team consultation workflow to determine which patients are referred. They designed an operational system in which mental health specialists and nurse care managers are included in the primary care staff, through full-time co-location or frequent rotation.They evaluate the program regularly to monitor patient outcomes, team effectiveness and the culture of healthcare delivery from the perspective of the patient and the care provider. Health Center Takeaway: Integrating behavioral health takes time. Intermountain Healthcare has created an efficient process to develop programs and they plan for two years to implement and become revenue-neutral. Health centers would benefit from a long-term approach with a commitment of upfront internal or external funding.   Deeper Reading If you are looking for more in-depth reading on the topic, visit the following links for longer articles. Electronic Health Record Challenges, Workarounds, and Solutions Observed in Practices Integrating Behavioral Health and Primary Care This Journal of the American Board of Family Medicine article describes the electronic health record EHR-related experiences of practices striving to integrate behavioral health and primary care using tailored, evidenced-based strategies from 2012 to 2014; and the challenges, workarounds and initial health information technology HIT solutions that emerged during implementation. Behavioral Health Information Network of Arizona: 2014 HIMSS HIE Community Roundtable This HIMSS presentation describes the design and implementation of a Health Information Exchange in Arizona that integrates behavioral health data and is 42 CFR Part 2 compliant.  Useful for any health center leadership involved in such a project with their affiliated Health Information Exchange. More Details...

Collecting Data On Asian Americans, Native Hawaiians, And Pacific Islanders For Community Health Center Needs Assessments: A Learning Series - Part 2: Data Resource Training: Using Community Commons to Map & Visualize the Needs of AA&NHPIs For Community Needs Assessments (2018). Resource Type: Archived Webinar. Description: This webinar introduces the Community Commons resource and how it can serve as a great tool to help health centers collect disaggregated data on Asian Americans, Native Hawaiians, and Pacific Islanders (AA&NHPIs). It provides a live demonstration of Community Commons’ mapping technology features and their Needs Assessment Toolkit. Speakers demonstrate how these tools can be used to inform a health center’s community health needs assessment and increase knowledge of available data resources. This will help to improve health center capacity to monitor and track the needs of medically underserved areas and populations. More Details...

Enabling Services Data Collection Implementation Packet: Enabling Services Accountability Project (2017). Resource Type: Toolkit. Description: This toolkit includes tools and recommendations for how health centers can better capture data on enabling services (ES). This will help health centers provide a better understanding of the role of ES in health care access, utilization and outcomes for Asian Americans, Native Hawaiians, and Pacific Islanders (AA&NHPIs), and useful information to appropriately address these needs. More Details...

Collecting Data On Asian Americans, Native Hawaiians, And Pacific Islanders For Community Health Center Needs Assessments: A Learning Series - Part 1: Social Determinants of Health of Emerging Asian Americans, Native Hawaiians, and Pacific Islander (AA&NHPI) Populations by States (2017). Resource Type: Archived Webinar. Description: This webinar provides a data portrait of the fastest growing AA&NHPI populations by state with profiles of their social determinants of health characteristics. The five states are Arizona, Arkansas, Nevada, North Carolina, and North Dakota. The seven SDOH characteristics mentioned are educational attainment, foreign born, language spoken at home and ability to speak English, employment status, health insurance coverage, poverty level, and household characteristics. Collecting and having disaggregated data is important to better understand the unique barriers faced by AA&NHPIs since they represent more than 50 ethnic groups and over 100 languages. Health centers can use this data to develop more culturally and linguistically appropriate programs to better serve these communities. More Details...

Improving Diabetes Outcomes: Curated Expert Guidance, Tools, and Resources (2017). Resource Type: Publication. Description: According to 2016 UDS data, an estimated 14.3% of Federally Qualified Health Center patients nationwide have diabetes. Of these 2 million plus patients living with diabetes, approximately 32% have uncontrolled diabetes, with HbA1c equal to or above 9% or have had no test in the prior year. These statistics bring forth the need for improvement in the care of diabetes; several resources and research outcomes are profiled here with specific takeaways for health centers. As of CDC's 2017 National Diabetes Statistics Report, 30.3 million people, or 9.4% of the total U.S. population, have diabetes. Of these 30.3 million, only 23.1 million are diagnosed - while the other estimated 7.2 million are undiagnosed. Additionally, more than 1 in 3 adults or 84.1 million people in the U.S. have prediabetes. Among adults age 65 and older, nearly half have prediabetes. More Details...

Diabetes Improvement Toolkit (2017). Resource Type: Toolkit. Description: A website that hosts toolkits, guides, and other resources to support data collection, quality, and performance improvement with the use of Health IT tools More Details...

Staff Orientation to the use of Health Information Technology (HIT) to achieve the Triple Aim - Part II: Part 2 of 3: Effectively Using Data to Impact Population Health (2017). Resource Type: Publication. Description: A custom, health-center focused eLearning module for onboarding and orienting clinical and administrative health center staff to the Triple Aim and their important role in collecting accurate and timely information to support informed decision-making.   The second aim – Population Health – is addressed in this module with a focus on the use of data to improve the health of a population or sub-group of patients.  ** Please note that viewing issues have been identified when using the Internet Explorer 11 browser. The series is best viewed in either Chrome, Firefox, or IE Edge browsers.The series is best viewed in either Chrome, Firefox, or IE Edge browsers. More Details...

Staff Orientation to the use of Health Information Technology (HIT) to achieve the Triple Aim - Part III: Part 3 of 3: Effectively Using Data to Increase Healthcare Value (2017). Resource Type: Publication. Description: A custom, health-center focused eLearning module for onboarding and orienting clinical and administrative health center staff to the Triple Aim and their important role in collecting accurate and timely information to support informed decision-making.  The third aim – Value – is addressed in this module with a focus on using data to achieve the best outcomes for patients while decreasing costs.  ** Please note that viewing issues have been identified when using the Internet Explorer 11 browser. The series is best viewed in either Chrome, Firefox, or IE Edge browsers.The series is best viewed in either Chrome, Firefox, or IE Edge browsers. More Details...

Asian Americans, Native Hawaiians, and Pacific Islander (AA&NHPI)-Serving Health Centers and Medicaid (2017). Resource Type: Publication. Description: This fact sheet outlines the impact of potential cuts to Medicaid on Asian American, Native Hawaiian and Pacific Islanders (AA&NHPIs) and health centers. More Details...

Results of Population Health Analytics/ Data Integration Survey: PCA/ HCCN Experiences Assessing and/ or Implementing Systems (2017). Resource Type: Publication. Description: HITEQ conducted an anonymous survey of population health analytic and data integration system needs and impressions among PCA/HCCNs in late 2016 and early 2017. The results of that survey, intended to help those looking to adopt similar systems, are laid out within. This includes ratings of key functionalities, discussion of most important features, and comments from those who have assessed and/ or implemented these tools. HITEQ conducted an anonymous survey of population health analytic and data integration system needs and impressions among Primary Care Associations and Health Center Controlled Networks in late 2016 and early 2017. The results of that survey, intended to help those looking to adopt similar systems, are laid out within. This includes ratings of key functionalities, discussion of most important features, and comments from those who have assessed and/ or implemented these tools. This piece reflects the aggregated responses of the 26 responding organizations that chose to participate through a call for responses to PCAs/ HCCNs. Responses are anonymous, are shared as they were provided with minimal editing, and reflect the views and experiences of the respondent(s) only. If you have experiences to add, please respond to the survey or email us! The survey results include: Number of respondents reviewing each system Ratings on selected functions Comments provided related to selected functions Data storage and management for each system Access to raw data downloads Features most important when assessing/ selecting a system Other priorities Reasons for making selection, vendor specific Reasons for making selection, general Three main lessons you’d like to pass on as a result of this experience General Comments Consider using this tool to help guide your thinking as to what questions you might ask vendors as well as what features you may want to see demonstrated if you are considering selecting a system of this type. The HITEQ Center does not endorse any systems or vendors, and has not validated any of the responses provided. More Details...

Demystifying Predictive Analytics: Factsheet on Predictive Analytics for Health Centers (2017). Resource Type: Publication. Description: Using predictive analytics in health care is an emerging field, especially for health centers. This tool will provide a brief explanation of the purpose of predictive analytics, the ingredients necessary to apply these methods, and ways that health centers are using this approach to improve results. The objective of this resource is to help health center leadership and staff understand how and when predictive analytics can help them, and to think about how predictive analytics might fit into their data-driven QI program. This one-page brief outlines the basics of this complex topic. We define predictive analytics and describe how health centers are adopting this innovation. Sources and uses of data for making predictions are discussed, and specific applications of predictive analytics are described.  Specific health center examples are offered to illustrate the potential of predictive analytics for health centers. More Details...

CHC Adoption Framework for Electronic Patient Engagement: Methods for deploying more personalized care to underserved populations (2017). Resource Type: Toolkit. Description: The introduction of electronic personal health records (PHR) systems, and the patient portals used to provide patients access to those records, into the fabric of the U.S. healthcare system provides a major opportunity to encourage positive health management practices, such as chronic disease management and increased care plan adherence, through greater engagement of the patient. More Details...

Literature Review: Resources for Building Health and Housing Partnerships: Abstracts of Health and Housing Partnership Literature (2017). Resource Type: Publication. Description: Searching for data to support fundraising or new program development? This Literature Review provides robust summary of articles and studies supporting SDOH and health and housing partnerships. More Details...

Why Collect Standardized Data on Social Determinants of Health?: A slide deck outlining the potential use of ICD10 coding for SDOH. (2017). Resource Type: Publication. Description: This resource will equip health center stakeholders with the motivation, knowledge, and ability needed to collect and use standardized social determinants of health data. This resource describes the importance of collecting Standardized SDOH Data in the context of value based payment.  The resource reviews commonly used codes in ICD-10 that can help document SDOH.  Finally, the slide deck describes useful tools for collecting these data and what’s on the horizon for health centers to strengthen their efforts to move “upstream” in addressing health disparities. Download this slide deck below. More Details...