title: An economic analysis of a nurse-led telephone triage service.
abstract: Telephone nurse lines help callers to select the most appropriate site and level of care for acute conditions. We examined whether compliance with nurse recommendations was associated with lower average health care expenditure, and identified the employer characteristics associated with higher than average savings. Telephone calls to a nurse-led help line made by commercial health plan members who worked for large employers were identified. The callers' intention before calling and the nurse recommendation regarding site/level of care were recorded. Compliance was determined using medical claims during a 30-day post-call observation period and was based on adherence to nurse recommendations. A total of 132,509 calls during 2012 were identified for the study. Nurse recommendations were that 31% of the callers seek a higher level of care than mentioned at the start of the call, 25% use a lower level of care and 44% pursue their originally intended level of care. After regression-based adjustment, the average medical expenditures were compared between compliers and non-compliers. Overall, 57% of callers were compliant with nurse recommendations. The average expenditures were $328 lower among compliant callers. A logistic regression analysis identified employer characteristics positively associated with achieving higher than average savings. These were having a low employee-to-dependent ratio, a headquarters in the Western region of the US, a low prospective health risk score, and participation by the employer in a targeted communication campaign. Compliance with the triage recommendations resulted in lower average health care expenditures, and several characteristics were positively associated with achieving higher savings.
authors: Optum Consumer Solutions Group, Golden Valley, Minnesota, USA jessica.navratil-strawn@optum.com.
authors: Jessica L
authors: JL
authors: Navratil-Strawn
authors: Optum Consumer Solutions Group, Ann Arbor, Michigan, USA.
authors: Ronald J
authors: RJ
authors: Ozminkowski
authors: Optum Consumer Solutions Group, Phoenix, Arizona, USA.
authors: Stephen K
authors: SK
authors: Hartley
mesh_terms: D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D003142:Communication; D005260:Female; D017048:Health Care Costs / Q000706:statistics & numerical data*; D015277:Hotlines / Q000191:economics; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009723:Nurse-Patient Relations; D015403:Nursing Evaluation Research; D010349:Patient Compliance / Q000706:statistics & numerical data; D017060:Patient Satisfaction; D057184:Practice Patterns, Nurses' / Q000706:statistics & numerical data; D011446:Prospective Studies; D019114:Remote Consultation / Q000191:economics / Q000379:methods*; D014218:Triage / Q000191:economics* / Q000458:organization & administration / Q000592:standards; D055815:Young Adult