Identify a Behavioral Health Patient Tracking System
IDENTIFY A TRACKING SYSTEM
Effective management of common mental health conditions requires the ability to track both clinical outcomes and engagement for target populations of patients and to support systematic changes in treatment for patients who are not improving as expected. This measurement-based, treatment-to-target approach is one of the core principles of effective integrated care and is essential in ensuring stated goals are being met. It requires a systematic method of tracking information on all patients being treated for behavioral health conditions, like anxiety or depression. How it is done is much less important than that it is done.
Using Registries to Track Patient Outcomes
The workflow to support measurement-based care is a data-driven process, requiring the care team to actively use a registry to track patient clinical outcomes over time. It is important that all registries be used in conjunction with the practice’s EHR, if not already built into it.
Registries that support collaborative care or similar behavioral health integration must be able to do the following:
- Track clinical outcomes and progress at both the individual patient level and overall caseload level for the target population
- Prompt treatment-to-target by summarizing patient’s improvement and challenges in an easily understandable and actionable way
- Facilitate efficient psychiatric consultation and case review, allowing providers to easily prioritize patients who need to be evaluated for changes in treatment or who are new to the caseload
Registries can also be helpful in summarizing key processes of care that are important to understand when implementing a successful integrated care program. Key processes to monitor include caseload size, the number and percentage of patients on a caseload who have been in contact with the behavioral health provider in a given period of time, and the number or proportion of enrolled patients who have achieved significant improvement.
For example, if using the PHQ-9 depression scale to track signs and symptoms of depression over time, a registry should be able to generate the following caseload- and population-level reports/information on processes of care:
- Baseline PHQ-9 scores for all patients on caseloads
- PHQ-9 score at most recent follow-up contact for all patients
- Number (#) and percentage (%) of patients on the caseload who have had at least one follow-up PHQ-9 score recorded
- Number (#) and percentage (%) of patients whose PHQ-9 score is less than 5 (e.g., symptoms in remission) or whose score has decreased by at least 50%, indicating significant improvement
- Number (#) and percentage (%) of patients whose PHQ-9 scores are not improving after 10 weeks or more in treatment and whose cases have not been reviewed by the psychiatric consultant within the past 8 weeks (e.g., at risk of falling through the cracks)
Refer to the AIMS Center's registry requirements guide for a more complete overview of the necessary functions of a population-based registry.
Selecting a Registry Tool
Registry tools that support collaborative care or similar behavioral health integrations vary widely in their sophistication, functionality, cost, and scalability. Options include the following:
- Many clinics begin their integrated care programs using a spreadsheet as a registry. The AIMS Center offers a Patient Tracking Spreadsheet Template for practices to use. Managing caseloads on a spreadsheet can be challenging in regards to scalability and HIPAA compliance. Having an appointed spreadsheet specialist with advanced knowledge of Excel is also crucial to successfully maintaining a spreadsheet registry.
- The AIMS Caseload Tracker is a cloud-based, HIPAA-compliant registry introduced in 2017. This simple tool is useful for integrated care sites when the psychiatry staff or psychiatric consultant has access to the EHR and will provide all recommendations and documentation in the EHR.
- The AIMS Center offers an online, HIPAA-compliant Care Management Tracking System (CMTS) that is particularly useful for research studies or in contexts spanning multiple healthcare organizations using different EHRs that have very specific tracking/reporting needs.
- Some organizations pursue customized registry builds within their EHR or in a care management software system. These organizations often find it valuable to use the AIMS Caseload Tracker or similar tool as an interim solution during the build process.