BACKGROUND: There is a need for randomized, prospective trials of case management interventions with resource utilization analyses. OBJECTIVES: To determine whether algorithm-driven telephone care by nurses improves lipid control in patients with diabetes. DESIGN: Prospective, randomized, controlled trial. PARTICIPANTS: Adults with diabetes at a federally funded community health center were randomly assigned to intervention (n = 381) or usual-care (n = 381) groups. INTERVENTIONS: Nurses independently initiated and titrated lipid therapy and promoted behavioral change through motivational interviewing and self-management techniques. Other parameters of diabetes care were addressed based on time constraints. MAIN MEASURES: The primary outcome was the proportion of patients with a low-density lipoprotein (LDL) less than 100 mg/dL. Secondary outcomes included the number of hospital admissions, total hospital charges per patient, and the proportion of patients meeting other lipid, glycemic, and blood pressure guidelines. KEY RESULTS: The percent of patients with an LDL < 100 mg/dL increased from 52.0% to 58.5% in the intervention group and decreased from 55.6% to 46.7% in the control group (P < .01). Average cost per patient to the healthcare system was less for the intervention group ($6600 vs $9033, P = .03). Intervention patients trended toward fewer hospital admissions (P = .06). The intervention did not affect glycemic and blood pressure outcomes. CONCLUSIONS: Nurses can improve lipid control in patients with diabetes in a primarily indigent population through telephone care using moderately complex algorithms, but a more targeted approach is warranted. Telephone-based outreach may decrease resource utilization, but more study is needed.
BACKGROUND: There is a need for randomized, prospective trials of case management interventions with resource utilization analyses. OBJECTIVES: To determine whether algorithm-driven telephone care by nurses improves lipid control in patients with diabetes. DESIGN: Prospective, randomized, controlled trial. PARTICIPANTS: Adults with diabetes at a federally funded community health center were randomly assigned to intervention (n = 381) or usual-care (n = 381) groups. INTERVENTIONS: Nurses independently initiated and titrated lipid therapy and promoted behavioral change through motivational interviewing and self-management techniques. Other parameters of diabetes care were addressed based on time constraints. MAIN MEASURES: The primary outcome was the proportion of patients with a low-density lipoprotein (LDL) less than 100 mg/dL. Secondary outcomes included the number of hospital admissions, total hospital charges per patient, and the proportion of patients meeting other lipid, glycemic, and blood pressure guidelines. KEY RESULTS: The percent of patients with an LDL < 100 mg/dL increased from 52.0% to 58.5% in the intervention group and decreased from 55.6% to 46.7% in the control group (P < .01). Average cost per patient to the healthcare system was less for the intervention group ($6600 vs $9033, P = .03). Intervention patients trended toward fewer hospital admissions (P = .06). The intervention did not affect glycemic and blood pressure outcomes. CONCLUSIONS: Nurses can improve lipid control in patients with diabetes in a primarily indigent population through telephone care using moderately complex algorithms, but a more targeted approach is warranted. Telephone-based outreach may decrease resource utilization, but more study is needed.
Authors: Jennifer L St Sauver; David O Warner; Barbara P Yawn; Debra J Jacobson; Michaela E McGree; Joshua J Pankratz; L Joseph Melton; Véronique L Roger; Jon O Ebbert; Walter A Rocca Journal: Mayo Clin Proc Date: 2013-01 Impact factor: 7.616
Authors: Judy Quan; Alexandra K Lee; Margaret A Handley; Neda Ratanawongsa; Urmimala Sarkar; Samuel Tseng; Dean Schillinger Journal: Popul Health Manag Date: 2015-06-23 Impact factor: 2.459
Authors: Rashid L Bashshur; Gary W Shannon; Brian R Smith; Dale C Alverson; Nina Antoniotti; William G Barsan; Noura Bashshur; Edward M Brown; Molly J Coye; Charles R Doarn; Stewart Ferguson; Jim Grigsby; Elizabeth A Krupinski; Joseph C Kvedar; Jonathan Linkous; Ronald C Merrell; Thomas Nesbitt; Ronald Poropatich; Karen S Rheuban; Jay H Sanders; Andrew R Watson; Ronald S Weinstein; Peter Yellowlees Journal: Telemed J E Health Date: 2014-06-26 Impact factor: 3.536