Journal
MILBANK QUARTERLY
Volume 88, Issue 2, Pages 240-255Publisher
WILEY-BLACKWELL
DOI: 10.1111/j.1468-0009.2010.00597.x
Keywords
Predictive modeling; impactibility; hospital avoidance; equity; access
Funding
- Commonwealth Fund
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Methods: This research used semistructured interviews with representatives of thirty American organizations that build, use, or appraise predictive models for health care. Findings: Impactibility models may refine the output of predictive models by (1) giving priority to patients with diseases that are particularly amenable to preventive care; (2) excluding patients who are least likely to respond to preventive care; or (3) identifying the form of preventive care best matched to each patient's characteristics. Conclusions: Impactibility models could improve the efficiency of hospital-avoidance programs, but they have important implications for equity and access.
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