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How does comorbidity influence healthcare costs? A population-based cross-sectional study of depression, back pain
John Carstensen1, David Andersson, Malin André
1Division of Health and Society, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Insights
Comorbidity of back pain and depression significantly reduces healthcare costs, with increased primary care visits leading to lower overall expenses and hospitalizations. This highlights the economic benefits of integrated care for these conditions.
Area of Science:
- Healthcare Economics
- Public Health
- Clinical Epidemiology
Background:
- Comorbidity significantly impacts patient healthcare costs.
- Understanding cost drivers for conditions like back pain, depression, and osteoarthritis is crucial for resource allocation.
- The interplay between these specific conditions and healthcare expenditure requires detailed analysis.
Purpose of the Study:
- To analyze the influence of comorbidity among patients with back pain, depression, and osteoarthritis on healthcare costs.
- To specifically examine the distribution of costs across primary care, specialist care, hospitalizations, and pharmaceuticals.
- To identify potential cost-saving strategies through coordinated care models.
Main Methods:
- A population-based cross-sectional study was conducted in the County of Östergötland, Sweden.
- Data from 266,354 individuals (aged 20-75) in 2006 were extracted from local healthcare and national drug prescription registers.
- Regression models, including interactions for age, sex, other health conditions, and education, were used to estimate comorbidity effects on healthcare costs.
Main Results:
- Back pain was the most diagnosed condition, followed by depression and osteoarthritis.
- The highest comorbidity subgroup was back pain and depression (772 patients).
- Patients with comorbid back pain and depression exhibited significantly lower total healthcare costs (SEK 11,806 reduction), with increased primary care visits and reduced hospitalizations.
Conclusions:
- Comorbid back pain and depression are associated with substantial reductions in total and hospital healthcare costs.
- A modest increase in primary healthcare visits for these patients correlated with significant cost savings.
- Findings underscore the value of analyzing comorbidity cost effects and optimizing primary and secondary care coordination.
Objectives:
To analyse how comorbidity among patients with back pain, depression and osteoarthritis influences healthcare costs per patient. A special focus was made on the distribution of costs for primary healthcare compared with specialist care, hospital care and drugs.
Design:
Population-based cross-sectional study.
Setting:
The County of Östergötland, Sweden.
Patients:
Data on diagnoses and healthcare costs for all 266 354 individuals between 20 and 75 years of age, who were residents of the County of Östergötland, Sweden, in the year 2006, were extracted from the local healthcare register and the national register of drug prescriptions.
Main Outcome Measures:
The effects of comorbidity on healthcare costs were estimated as interactions in regression models that also included age, sex, number of other health conditions and education.
Results:
The largest diagnosed group was back pain (11 178 patients) followed by depression (7412 patients) and osteoarthritis (5174 patients). The largest comorbidity subgroup was the combination of back pain and depression (772 patients), followed by the combination of back pain and osteoarthritis (527 patients) and the combination of depression and osteoarthritis (206 patients). For patients having both a depression diagnosis and a back pain diagnosis, there was a significant negative interaction effect on total healthcare costs. The average healthcare costs among patients with depression and back pain was SEK 11 806 lower for a patient with both diagnoses. In this comorbidity group, there were tendencies of a positive interaction for general practitioner visits and negative interactions for all other visits and hospital days. Small or no interactions at all were seen between depression diagnoses and osteoarthritis diagnoses.
Conclusions:
A small increase in primary healthcare visits in comorbid back pain and depression patients was accompanied with a substantial reduction in total healthcare costs and in hospital costs. Our results can be of value in analysing the cost effects of comorbidity and how the coordination of primary and secondary care may have an impact on healthcare costs.
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