Applying time series modeling to assess the dynamics and forecast monthly reports of abuse, neglect and/or exploitation involving a vulnerable adult.

ABSTRACT:

Background

Application of time series modeling to predict reports related to maltreatment of vulnerable adults can be helpful for efficient early planning and resource allocation to handle a high volume of investigations. The goal of this study is to apply: (1) autoregressive integrated moving average (ARIMA) time series modeling to fit and forecast monthly maltreatment reports accepted for assessment reported to adult protective services (APS), and (2) interrupted time series analysis to test whether the implementation of intake hubs have a significant impact in the number of maltreatment reports after the implementation period.

Methods

A time series analysis on monthly APS intake reports was conducted using administrative data from SC Child and Adult Protective Services be

SUBMITTER: Soto-Ramirez N 

PROVIDER: S-EPMC7278192 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature