BACKGROUND:Patients with multiple chronic conditions are at high risk for potentially avoidable hospitalizations, which may be reduced by care coordination and self-management support. Medical assistants are an increasingly available resource for patient care in primary care practices. OBJECTIVE: To determine whether protocol-based care management delivered by medical assistants improves care in patients at high risk for future hospitalization in primary care. DESIGN: Two-year cluster randomized clinical trial. (Current Controlled Trials: ISRCTN56104508). SETTING: 115 primary care practices in Germany. PATIENTS: 2076 patients with type 2 diabetes, chronic obstructive pulmonary disease, or chronic heart failure and a likelihood of hospitalization in the upper quartile of the population, as predicted by an analysis of insurance data. INTERVENTION: Protocol-based care management, including structured assessment, action planning, and monitoring delivered by medical assistants, compared with usual care. MEASUREMENTS: All-cause hospitalizations at 12 months (primary outcome) and quality-of-life scores (12-Item Short Form Health Survey [SF-12] and EuroQol instrument [EQ-5D]). RESULTS:Included patients had an average of 4 co-occurring chronic conditions. All-cause hospitalizations did not differ between groups at 12 months (risk ratio [RR], 1.01 [95% CI, 0.87 to 1.18]) and 24 months (RR, 0.98 [CI, 0.85 to 1.12]). Quality of life (differences, 1.16 [CI, 0.24 to 2.08] on SF-12 physical component and 1.68 [CI, 0.60 to 2.77] on SF-12 mental component) and general health (difference on EQ-5D, 0.03 [CI, 0.00 to 0.05]) improved significantly at 24 months. Intervention costs totaled $10 per patient per month. LIMITATION: Small number of primary care practices and low intensity of intervention. CONCLUSION: This low-intensity intervention did not reduce all-cause hospitalizations but showed positive effects on quality of life at reasonable costs in high-risk multimorbid patients. PRIMARY FUNDING SOURCE: AOK Baden-Württemberg and AOK Bundesverband.
RCT Entities:
BACKGROUND:Patients with multiple chronic conditions are at high risk for potentially avoidable hospitalizations, which may be reduced by care coordination and self-management support. Medical assistants are an increasingly available resource for patient care in primary care practices. OBJECTIVE: To determine whether protocol-based care management delivered by medical assistants improves care in patients at high risk for future hospitalization in primary care. DESIGN: Two-year cluster randomized clinical trial. (Current Controlled Trials: ISRCTN56104508). SETTING: 115 primary care practices in Germany. PATIENTS: 2076 patients with type 2 diabetes, chronic obstructive pulmonary disease, or chronic heart failure and a likelihood of hospitalization in the upper quartile of the population, as predicted by an analysis of insurance data. INTERVENTION: Protocol-based care management, including structured assessment, action planning, and monitoring delivered by medical assistants, compared with usual care. MEASUREMENTS: All-cause hospitalizations at 12 months (primary outcome) and quality-of-life scores (12-Item Short Form Health Survey [SF-12] and EuroQol instrument [EQ-5D]). RESULTS: Included patients had an average of 4 co-occurring chronic conditions. All-cause hospitalizations did not differ between groups at 12 months (risk ratio [RR], 1.01 [95% CI, 0.87 to 1.18]) and 24 months (RR, 0.98 [CI, 0.85 to 1.12]). Quality of life (differences, 1.16 [CI, 0.24 to 2.08] on SF-12 physical component and 1.68 [CI, 0.60 to 2.77] on SF-12 mental component) and general health (difference on EQ-5D, 0.03 [CI, 0.00 to 0.05]) improved significantly at 24 months. Intervention costs totaled $10 per patient per month. LIMITATION: Small number of primary care practices and low intensity of intervention. CONCLUSION: This low-intensity intervention did not reduce all-cause hospitalizations but showed positive effects on quality of life at reasonable costs in high-risk multimorbid patients. PRIMARY FUNDING SOURCE: AOK Baden-Württemberg and AOK Bundesverband.
Authors: Charlotte C Poot; Eline Meijer; Annemarije L Kruis; Nynke Smidt; Niels H Chavannes; Persijn J Honkoop Journal: Cochrane Database Syst Rev Date: 2021-09-08
Authors: Jade Schrijver; Anke Lenferink; Marjolein Brusse-Keizer; Marlies Zwerink; Paul Dlpm van der Valk; Job van der Palen; Tanja W Effing Journal: Cochrane Database Syst Rev Date: 2022-01-10
Authors: Joana Mora; Miren David Iturralde; Lucía Prieto; Cristina Domingo; Marie-Pierre Gagnon; Catalina Martínez-Carazo; Anna Giné March; Daniele De Massari; Tino Martí; Marco Nalin; Francesca Avolio; Jean Bousquet; Esteban de Manuel Keenoy Journal: BMC Health Serv Res Date: 2017-05-05 Impact factor: 2.655