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Comparing a Digital Health Check With Traditional Nurse-Led Health Examinations Among Long-Term Unemployed
Venla Raussi1, Sari Kujala2, Iiris Hörhammer2
1Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
The STAR digital health check identified most, but not all, health challenges in long-term unemployed individuals compared to nurse assessments. Integrating measurements like blood pressure and cholesterol can enhance its clinical utility.
Area of Science:
- Digital health
- Public health
- Health services research
Background:
- Digital health checks screen population health behavior risks and aid healthcare professionals in patient risk estimation.
- Long-term unemployed individuals face elevated risks for lifestyle-related diseases.
Purpose of the Study:
- To evaluate the clinical utility of the STAR Duodecim Health Check and Coaching Program (STAR) for screening long-term unemployed individuals.
- To compare health challenges identified by the STAR digital health check against those identified by nurses during face-to-face assessments.
Main Methods:
- A comparison study involving 49 unemployed participants from two Finnish primary healthcare centers.
- Participants completed the STAR digital health check and a nurse's health check.
- Data collected via surveys; nurses identified top 3 health challenges, which were compared to STAR's findings using agreement percentages, sensitivity, specificity, and Cohen's kappa.
Main Results:
- STAR identified an average of 7.4 health challenges per participant, totaling 365.
- STAR identified all nurse-identified challenges in 53% of cases and at least two-thirds in 64% of cases.
- High agreement (Cohen's κ=0.877) for alcohol; moderate agreement for smoking (κ=0.440) and cholesterol (κ=0.457). STAR missed some challenges due to missing participant data on blood pressure, cholesterol, and waist circumference.
Conclusions:
- The STAR digital health check effectively identifies many health challenges but misses some critical ones, particularly those requiring specific measurements.
- Participant data gaps, especially for cardiovascular risk factors like blood pressure and cholesterol, limit STAR's comprehensive assessment.
- Integrating STAR with traditional health checks, including necessary measurements and professional dialogue, can improve risk assessment and streamline care for unemployed individuals.
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