Process Mining on National Health Care Data for the Discovery of Patient Journeys of Older Adults.

Objective: Understanding the longitudinal patterns of health care utilization among older adults is crucial for designing effective patient journeys and enhancing care coordination across settings. This study aims to uncover the most common patient journeys of older adults.

Design: This explorative study used process mining techniques to analyze national health care data from 2017 to 2019, focusing on patient care journeys of older adults (aged ≥65 years) in the Netherlands.

Differentiating Between Home Care Types to Identify Older Adults at Risk of Adverse Health Outcomes in the Community.

Objectives: Acute hospitalization, recurrent admissions, institutionalization, and death are important adverse health outcomes. Older adults receiving home care are especially at risk of these outcomes, yet it remains unclear if this risk differs between older adults receiving different types of home care and older adults not receiving home care.

Design: Retrospective cohort study using national claims data from 2019.

Receiving home care forms and the risk for emergency department visits in community-dwelling Dutch older adults, a retrospective cohort study using national data.

Background: Older adults receiving home care have a higher risk of visiting the emergency department (ED) than community-dwelling older adults not receiving home care. This may result from a higher incidence of comorbidities and reduced functional autonomy in home care recipients. Since people receive different types of home care because of their different comorbidities and autonomy profiles, it is possible that distinguishing between the form of home care can help identify subpopulations with different risks for ED visits and help develop targeted interventions.

Forecasting call and chat volumes at online helplines for mental health.

Background: Each year, many help seekers in need contact health helplines for mental support. It is crucial that they receive support immediately, and that waiting times are minimal. In order to minimize delay, helplines must have adequate staffing levels, especially during peak hours.