HB 2678
In CommitteeHouse
APS caseload forecasting
Concerning caseload forecasting for adult protective services.
This status may be delayed. See Action History below for the latest updates.
How does a bill become law?
- Introduced: The bill is filed and assigned a number.
- Committee: A subject-matter committee holds hearings, takes public testimony, and decides whether to advance the bill.
- Floor Vote: The full chamber (House or Senate) debates and votes on the bill.
- Opposite Chamber: The bill repeats the committee and floor vote process in the other chamber.
- Governor: The Governor reviews the bill and decides whether to sign or veto it.
- Signed: The bill has been signed into law.
AI Analysis
This bill formalizes the Caseload Forecast Council and expands its responsibilities to include forecasting key metrics for the adult protective services system, such as reports of abuse or neglect, service usage, and case characteristics. It also broadens the range of programs for which the council produces forecasts and clarifies governance and operational rules for the council and its supervisor.
- Creates the Caseload Forecast Council, composed of two governor-appointed members and four legislative caucus-appointed members (one from each of the two largest caucuses in the House and Senate), with the chair selected from the legislative appointees.
- Requires the council to employ a Caseload Forecast Supervisor to manage forecast preparation; employment decisions require approval by at least five council members and are subject to a three-year term with possible one-year extensions.
- Mandates that the council approve official state caseload forecasts (by at least four votes); if approval is not achieved by the deadline, the supervisor may submit the forecast unapproved, and it still takes effect.
- Expands the definition of 'caseload' to include adult protective services (APS) metrics, such as number of adults receiving services, screened-in abuse/neglect reports, jurisdictional referrals, duplicate cases, repeat perpetrators, and law enforcement referrals.
- Requires the council to forecast several additional programs as a courtesy, including extended foster care, behavioral rehabilitation services, transition to kindergarten, working families’ tax credit recipients (broken down by number of qualifying children), and developmental disabilities waiver services.
- Allows dissenting council members to request an alternative forecast based on their own assumptions, which the supervisor must provide.
Who is affected
- Adult Protective Services staff and administrators — Adult Protective Services (APS) staff and administrators will use the forecasts to plan staffing, resources, and service delivery for vulnerable adult protection cases.
- State agency budget and program planners — State agencies (e.g., Department of Social and Health Services, Department of Children, Youth, and Families) rely on caseload forecasts to budget and allocate resources for programs like TANF, foster care, and early learning.
- Washington State Legislators — Legislators use the forecasts to inform budget decisions and policy choices during the biennial budget process.
- Vulnerable adults (e.g., elderly or adults with disabilities at risk of abuse/neglect) — Vulnerable adults who receive or may need adult protective services benefit from more accurate planning that helps ensure timely and appropriate responses to abuse or neglect reports.
Pro/Con Analysis
Stronger case for benefits
Potential Benefits (5)
By formally including adult protective services metrics in the definition of 'caseload' and mandating forecasts for abuse/neglect reports, repeat perpetrators, and law enforcement referrals, the bill enables more accurate planning for APS staffing and interventions—directly supporting timely responses to elder and vulnerable adult abuse.
Public SafetyPeopleRef: Sec. 1(7)(a), Sec. 1(16), Sec. 1(18)The council’s composition—two governor-appointed and four legislative caucus appointees, with a legislative chair—enhances bipartisan oversight of forecasting, increasing transparency and reducing the risk of politically motivated forecasts, which benefits equitable resource allocation across agencies.
Local GovernmentPeopleRef: Sec. 1(1), Sec. 1(3), Sec. 1(5)Forecasting APS metrics—including duplicate cases, jurisdictional referrals, and repeat perpetrators—can help identify systemic gaps in service coordination, potentially reducing redundant investigations and enabling more targeted prevention strategies for vulnerable adults.
HealthcarePeopleRef: Sec. 1(18)Expanding forecasting to include extended foster care, developmental disabilities waiver services, and transition to kindergarten improves long-term planning for housing and support services—though as “courtesy” forecasts, their influence depends on legislative buy-in.
HousingLean peopleRef: Sec. 1(10), Sec. 1(12), Sec. 1(14), Sec. 1(15)Requiring approval by at least four council members for forecasts—and allowing dissenting members to request alternative forecasts—promotes data-driven, consensus-based budgeting, which helps prevent last-minute budget overruns and improves interagency coordination.
Local GovernmentPeopleRef: Sec. 1(1), Sec. 1(3), Sec. 1(4)
Potential Concerns (5)
Expanding caseload forecasting to include adult protective services (APS) metrics—such as screened-in abuse/neglect reports, jurisdictional referrals, and law enforcement referrals—may improve resource allocation and response planning for vulnerable adults, but the bill does not mandate new funding or staffing, so improved forecasting alone is unlikely to reduce response times or prevent harm without additional investment.
Public SafetyLean peopleRef: Sec. 1(7)(b)–(f), Sec. 1(16)The bill formalizes and expands the Caseload Forecast Council but retains the existing structure where council members serve without compensation and travel reimbursement is capped under existing statutes—meaning no new dedicated staff or resources are created, limiting the practical impact of expanded forecasting duties.
Local GovernmentLean peopleRef: Sec. 1(2), Sec. 1(3), Sec. 1(4)The bill requires forecasting for programs like extended foster care, behavioral rehabilitation, and transition to kindergarten as a “courtesy,” meaning these forecasts are not legally binding or guaranteed to influence budget decisions—reducing their utility for frontline service planning.
EducationLean peopleRef: Sec. 1(8)–(15), Sec. 1(17)Allowing the supervisor to submit an unapproved forecast if the council fails to reach consensus may improve forecasting continuity, but it also risks politicization—e.g., if dissenting members delay or block forecasts to influence policy outcomes, potentially undermining public trust in the process.
Public SafetyRef: Sec. 1(4)The bill explicitly states it does not specify new funding and relies on existing appropriations—meaning the expanded forecasting duties may strain current resources without additional budget support, potentially diverting staff time from other high-priority forecasting tasks.
FinancialRef: Fiscal Impact section
Who Is Most Affected
APS staff and administrators gain more reliable data on abuse/neglect trends, repeat perpetrators, and service demand—enabling better staffing and intervention planning. However, without new funding, they may still face caseload pressures despite improved forecasting.
State agencies (e.g., DSHS, DCYF) can better anticipate demand for services like developmental disabilities waivers and foster care, improving budget accuracy. However, since many forecasts are labeled as “courtesy,” agencies may not fully integrate them into planning without legislative pressure.
Legislators gain more granular, APS-specific data to inform budget decisions—especially around vulnerable adult protection. However, the requirement for bipartisan approval (at least 4 votes) may slow forecast adoption if partisan分歧 arises.
Vulnerable adults benefit from more accurate forecasting that could lead to timely responses to abuse reports and better resource allocation. However, the bill does not guarantee improved service delivery—only improved planning—so outcomes depend on subsequent funding and policy action.
Local governments (e.g., county human services departments) may benefit from improved forecasting to anticipate state-level service demand and coordinate referrals. However, since the council’s forecasts are not binding and rely on state-level data, local agencies may still face uncertainty.