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Evaluation of the Relationship Between Individual Well-Being and Future Health Care Utilization and Cost
60
Citations
19
References
2012
Year
Quality Of LifeFamily MedicineHealth OutcomesPrimary CarePrior CostPublic HealthHealth Services ResearchHealth PolicyOutcomes ResearchEconomic EvaluationHealthcare ValueWellness MeasurementHealth Care DeliveryNursingHealth EconomicsHealth Care CostHospital UtilizationMedicinePatient SatisfactionEmergency Medicine
Escalating health care expenditures highlight the need to identify modifiable predictors of short-term utilization and cost. Thus, the predictive value of individual well-being scores was explored with respect to 1-year health care expenditures and hospital utilization among 2245 employees and members of a health plan who completed the Well-Being Assessment (WBA). The relationship between well-being scores and hospital admissions, emergency room (ER) visits, and medical and prescription expenditures 12-months post WBA was evaluated using multivariate statistical models controlling for participant characteristics and prior cost and utilization. An inverse relationship existed between well-being scores and all measured outcomes (P≤0.01). For every point increase in well-being on a 100-point scale, respondents were 2.2% less likely to have an admission, 1.7% less likely to have an ER visit, and 1.0% less likely to incur any health care costs. Among those who did incur cost, each point increase in well-being was associated with 1% less cost, and individuals with low well-being scores (≤50) had 2.7 times the median annual expenditure of individuals with high well-being (>75) ($5172 and $1885, respectively). Also, well-being proved lowest among respondents who incurred more than $20,000, and was highest among those who incurred ≤$5000, with median scores of 71.1 and 80.3, respectively. These results indicate that individual well-being is a strong predictor of important near-term health care outcomes. Thus, well-being improvement efforts represent a promising approach to decrease future health care utilization and expenditures.
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