Understanding Patient Costs in Swedish Primary Care
Author Information
Author(s): Sven G Engström, Lennart Carlsson, Carl-Johan Östgren, Gunnar H Nilsson, Lars A Borgquist
Primary Institution: Linköping University, Sweden
Hypothesis
The study aims to explore the usefulness of the morbidity risk adjustment system Adjusted Clinical Groups (ACG) in explaining and estimating patient costs in Swedish primary health care.
Conclusion
The ACG system is a significant factor in explaining individual patient costs in primary health care, while age and gender contribute only minimally.
Supporting Evidence
- ACG weights explained 37.7% of the variance in patient costs.
- Age and gender together explained only 11.4% of the costs.
- The mean cost per patient was higher at one health care centre compared to the other.
Takeaway
This study shows that understanding the different health issues patients have can help predict how much their care will cost, and that just knowing their age and gender isn't enough.
Methodology
A cross-sectional observational study using data from electronic patient records at two primary health care centres in Sweden.
Potential Biases
The accuracy of the ACG system is sensitive to how well physicians record diagnoses.
Limitations
The study was limited by only including patients with at least one registered diagnosis, which may not fully represent the entire patient population.
Participant Demographics
Patients from two primary health care centres in southeastern Sweden, with a mean age of 45.8 years at one centre and 36.4 years at the other.
Statistical Information
P-Value
<0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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