Co- and Multimorbidity Patterns in Primary Care
Author Information
Author(s): Gunter Laux, Thomas Kuehlein, Thomas Rosemann, Joachim Szecsenyi
Primary Institution: University of Heidelberg
Hypothesis
The study aims to describe co- and multimorbidity as well as health care utilization based on episodes of care.
Conclusion
The study found a strong correlation between age, gender, multimorbidity, and health care utilization.
Supporting Evidence
- Patients' age had a stronger impact on health care utilization than gender.
- Multimorbidity significantly affected the number of encounters and prescriptions.
- The study utilized a large sample size of 39,699 patients.
Takeaway
Older people often have more health problems, and this study looked at how many different illnesses patients have and how often they visit the doctor.
Methodology
Data were collected from 39,699 patients in 17 general practices using the International Classification of Primary Care (ICPC) and analyzed using multiple linear regression.
Potential Biases
Potential selection bias due to voluntary participation of GPs.
Limitations
The study may have selection bias due to voluntary participation of GPs and the limited number of practices.
Participant Demographics
40.4% male and 59.6% female, average age 48.8 years.
Statistical Information
P-Value
<0.0001
Statistical Significance
p<0.0001
Digital Object Identifier (DOI)
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