Child welfare notifications are often interpreted as indicators of need, yet they originate at the system's “front door,” where actors differ in roles, access, and reporting conventions. We therefore examine notifications as intake signals: who reports what, and when. To map linkages between reporter groups and stated reasons, identify temporal rhythms in notifications, and test short-run coupling between reporting channels. All child-welfare notifications filed in one Finnish wellbeing services county between 1 Oct 2023 and 30 Sep 2024 ( N = 5715). Notifications were coded by reporter group and reason category. Reporter–reason patterns were analyzed using cross-tabulations, adjusted standardized residuals, and correspondence analysis. Daily and weekly time series were constructed to assess weekday–weekend and school-holiday rhythms. Short-run lead–lag relations between reporter groups were tested using Granger screening and HAC-robust lagged OLS models. Findings reflect system-level predictive dynamics rather than causal effects or case-level sequences. Reporter groups exhibited a clear child-to-service gradient. Emergency and safety authorities predominantly cited child-related reasons, whereas anonymous contacts mainly concerned service-related issues. Schools displayed a mixed profile, while welfare professionals and relatives more often emphasized family-related concerns. Notification volumes followed pronounced weekday and school-calendar rhythms, with declines during holidays. Weekly models showed inverse short-run coupling: increases in school reports preceded decreases in emergency-service reports, and similar patterns appeared across other reporter pairs. Notifications reflect an institutionally structured reporting ecology rather than a uniform indicator of need. Divergent framing and inverse timing across channels suggest that volume changes can signal shifts in visibility and access at intake, with implications for interpretation, resource allocation, and prevention planning. • Daily data show strong weekday–weekend and school-holiday seasonality. • Reporter–reason profiles indicate specialization across frontline actors. • Education-linked peaks coincide with lower emergency volume thereafter. • Results inform intake planning, triage, staffing, and calendar-aware resourcing.
Zhu et al. (Wed,) studied this question.