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Implementation of a systematic approach to diabetes in primary care in Bahia, Brazil improves metabolic outcomes: PRODIBA—Programa de Interiorização da Assistência ao Diabetes na Bahia (Project for Dissemination of Diabetes Care in the State of Bahia)
Author(s) -
ChavesFonseca R. M.,
Matos O. S.,
Lordelo Roberta A.,
Abreu M.,
Farias M. G.,
Coutinho J. F.,
Ribeiro M. N.,
MatteoniAthayde L.,
Lessa I.,
Pousada J.,
Oliveira M.,
Lopes C.,
Strock E.,
Mazze R.
Publication year - 2009
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.2008.02656.x
Subject(s) - medicine , glycated haemoglobin , diabetes mellitus , body mass index , primary care , blood pressure , type 2 diabetes , cohort , health professionals , diabetes management , randomized controlled trial , metabolic control analysis , health care , physical therapy , family medicine , gerontology , endocrinology , economic growth , economics
Background Staged Diabetes Management (SDM) improves glycaemic control and reduces diabetes‐related complications in primary care. Methods An 18‐month randomized controlled cohort study was conducted in two municipalities in the state of Bahia, Brazil, involving 100 patients with Type 2 diabetes in each municipality. In one municipality, healthcare professionals were trained to use SDM customized protocols for clinical decisions and, in the other municipality, no protocols for diabetes care were implemented. We hypothesized that, in the municipality with SDM trained professionals, patients would have better outcomes, including a fall in glycated haemoglobin (HbA 1c ). Results Improvements in some metabolic parameters were observed in the SDM group, including a 22% decrease in mean random glucose, a significant 15% decrease in mean HbA 1c , a 6% decrease in systolic blood pressure and an 11% decrease in diastolic blood pressure. There were no differences in body mass index and lipid profile. Conclusions SDM customized algorithms are effective, practical and easy to use in primary healthcare teams with very limited resources.