With the growing cost of health care in the United States, the need to improve efficiency and efficacy has become increasingly urgent. There has been a keen interest in developing interventions to effectively coordinate the typically fragmented care of patients with many comorbidities. Evaluation of such interventions is often challenging given their long-term nature and their differential effectiveness among different patients. Furthermore, care coordination interventions are often highly resource-intensive. Hence there is pressing need to identify which patients would benefit the most from a care coordination program. In this work, Dr. Jared Huling and HIP Investigators Dr. Menggang Yu and Dr. Maureen Smith introduced a subgroup identification procedure for long-term interventions whose effects are expected to change smoothly over time.
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