The success of behavioral economics in improving patient retention within an intensive primary care practice

被引:2
作者
Groden, Phillip [1 ]
Capellini, Alexandra [1 ]
Levine, Erica [2 ]
Wajnberg, Ania [3 ]
Duenas, Maria [3 ]
Sow, Sire [3 ]
Ortega, Bernard [3 ]
Medder, Nia [3 ]
Kishore, Sandeep [4 ]
机构
[1] Icahn Sch Med Mt Sinai, 1 Gustave L Levey Pl,Box 1199, New York, NY 10029 USA
[2] Icahn Sch Med Mt Sinai, Arnhold Inst Global Hlth, 1216 5th Ave,Box 1199, New York, NY 10029 USA
[3] Icahn Sch Med Mt Sinai, Dept Gen Internal Med, 1 Gustave L Levy Pl,Box 1087, New York, NY 10029 USA
[4] Univ Calif San Francisco, Sch Med, 533 Parnassus Ave, San Francisco, CA 94143 USA
关键词
High-cost populations; Chronic care; Patient retention; Behavioral economics; NO-SHOWS; MANAGEMENT; ENGAGEMENT; RISK; NEED;
D O I
10.1186/s12875-021-01593-8
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background A minority of the U.S. population comprises a majority of health care expenses. Health system interventions for high-cost populations aim to improve patient outcomes while reducing costly over-utilization. Missed and inconsistent appointments are associated with poor patient outcomes and increased health care utilization. PEAK Health- Mount Sinai's intensive primary care clinic for high-cost patients- employed a novel behavioral economics-based intervention to reduce the rate of missed appointments at the practice. Behavioral economics has accomplished numerous successes across the health care field; the effect of a clinic-based behavioral economics intervention on reducing missed appointments has yet to be assessed. Methods This was a single-arm, pre-post trial conducted over 1 year involving all active patients at PEAK Health. The intervention consisted of: a) clinic signage, and b) appointment reminder cards containing behavioral economics messaging designed to increase the likelihood patients would complete their subsequent visit; appointment cards (t1) were transitioned to an identical EMR template (t2) at 6 months to boost provider utilization. The primary objective, the success of scheduled appointments, was assessed with visit adherence: the proportion of successful over all scheduled appointments, excluding those cancelled or rescheduled. The secondary objective, the consistency of appointments, was assessed with a 2-month visit constancy rate: the percentage of patients with at least one successful visit every 2 months for 1 year. Both metrics were assessed via a chi(2) analysis and together define patient retention. Results The visit adherence rate increased from 74.7% at baseline to 76.5% (p = .22) during t1 and 78.0% (p = .03) during t2. The 2-month visit constancy rate increased from 59.5% at baseline to 74.3% (p = .01) post-intervention. Conclusions A low-resource, clinic-based behavioral economics intervention was capable of improving patient retention within a traditionally high-cost population. A renewed focus on patient retention- employing the metrics described here- could bolster chronic care efforts and significantly improve the outcomes of high-cost programs by reducing the deleterious effects of missed and inconsistent appointments.
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