All-cause hospital admission
Conditions
Interventions
Group 1: A health advisor determines which participants to contact over the phone during the study to inquire regarding their health status. To assist with this, the health advisor has access to the C
Sponsors
Philips GmbH Market DACH
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Insured at the TK. At least 18 years of age. A minimum care level (Pflegegrad) of 1. A maximum care level (Pflegegrad) of 4.
Exclusion criteria
Exclusion criteria: Severe dementia, severe psychiatric disorders or other severe medical conditions that exclude participation (including severe hearing impairment, severe motor impairment, and severe cognitive or mental disorders). Resident of a stationary facility. Currently admitted to hospital / rehabilitation, or planned to be admitted to hospital or rehab during the study for a period exceeding 3 weeks per admission.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Determine whether the intervention group shows a reduction in the number of hospital admissions after an 8-month intervention period (based on reimbursement records at the TK). | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Determine whether the intervention group shows a reduction in the number of hospitalization admissions following an emergency department visit compared to the control group. 2. Determine whether an equal number of ambulatory (GP) visits is observed in both the intervention group and the control group. 3. Determine whether an equal number of specialist visits is observed in both the intervention group and the control group. 4. Determine whether the intervention group shows a reduction in hospital-related costs compared to the control group. The compared costs include costs for emergency transport, inpatient and outpatient costs, and costs related to interventions, but does not include ambulatory costs. 5. Determine whether the intervention group shows a reduction in healthcare costs (consisting of costs for hospital transport, inpatient and outpatient costs, and ambulatory costs) compared to the control group. 6. Determine whether the intervention group shows a reduction in the number of days admitted to the hospital. 7. Collect qualitative data regarding the interventions performed by the health advisors and subscriber satisfaction with the PERS device and service; this includes the number / rate of interventions performed, the types of interventions performed, follow-up actions defined by medical professionals, and subscriber satisfaction with the interventions. 8. Determine the performance statistics (AUC, PPV) of the CareSage predictive model. 9. Improvement of the CareSage predictive model. Outcomes 1-6 are determined through reimbursement records. Outcome 7 is determined through questionnaires over the course of the study. Outcomes 8, 9 are determined using call center data. | — |
Countries
Germany
Contacts
Public ContactMarten Pijl
Philips Research
Outcome results
None listed