Patient Specific Automatic Reminders in Primary Care - the EBMeDS Randomised Trial
Trial Snapshot
- Phase
- Phase 1
- Status
- Completed
- Sponsor
- Tampere University
- Enrollment
- 12,101
- Locations
- 2
- Primary Endpoint
- The number of reminders triggered (in relation to the number of eligible patients, Ri/Ni) during repeated Virtual Health Checks (VHCs)
Study Overview
Brief Summary
The purpose of this study is to analyze the effect of the Evidence-Based Medicine electronic Decision Support (EBMeDS) automatic reminders in primary health care.
Hypothesis (1)is that in the intervention group the total number of EBMeDS reminders will decrease compared to the control group.
Hypothesis (2) is that in the intervention group the quality measures will increase faster compared to the control group at follow-up time.
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Single Group
- Primary Purpose
- Health Services Research
- Masking
- Double (Participant, Investigator)
Eligibility Criteria
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •All residents of Sipoo who have patient ID number in the Mediatri electronic patient record system in Sipoo Health Centre
Exclusion Criteria
- •Those residents who's occupational health care is produced by Sipoo Health Centre
Outcomes
Primary Outcomes
The number of reminders triggered (in relation to the number of eligible patients, Ri/Ni) during repeated Virtual Health Checks (VHCs)
Time Frame: Follow-up time max one and half year
VHC will be performed once a week for the whole study population, beginning at baseline and before randomisation. The main outcome measure is Ri/Ni at follow-up time after commencement of the study where Ri is the total number of reminders triggered by the patient record data in intervention and in control group at the time of analysis, and Ni is the total number of patients.
Secondary Outcomes
- Specific clinical measures compared to an intervention and a control group
Investigators
Tiina Kortteisto
researcher
Tampere University