2021
DOI: 10.2196/18872
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Development and Implementation of a Decision Support System to Improve Control of Hypertension and Diabetes in a Resource-Constrained Area in Brazil: Mixed Methods Study

Abstract: Background The low levels of control of hypertension and diabetes mellitus are a challenge that requires innovative strategies to surpass barriers of low sources, distance, and quality of health care. Objective The aim of this study is to develop a clinical decision support system (CDSS) for diabetes and hypertension management in primary care, to implement it in a resource-constrained region, and to evaluate its usability and health care practitioner satisfaction. … Show more

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Cited by 27 publications
(42 citation statements)
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“…This mixed methods study was a substudy of the Charming Project that took place in 34 primary health care centers (PHCCs) in 10 municipalities of Mucuri Valley: Ataléia, Catuji, Crisólita, Frei Gaspar, Itaipé, Ladainha, Novo Oriente de Minas, Ouro Verde de Minas, Setubinha, and Teófilo Otoni [ 13 ]. Mucuri Valley is part of the Northeast Macro-Region of Minas Gerais, Brazil, with a territorial extension of 24,781.5 km 2 and a population of 516,073 inhabitants, marked by drastic socioeconomic contrasts, high rates of illiteracy and poverty, and low rates of control of hypertension and DM [ 14 ].…”
Section: Methodsmentioning
confidence: 99%
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“…This mixed methods study was a substudy of the Charming Project that took place in 34 primary health care centers (PHCCs) in 10 municipalities of Mucuri Valley: Ataléia, Catuji, Crisólita, Frei Gaspar, Itaipé, Ladainha, Novo Oriente de Minas, Ouro Verde de Minas, Setubinha, and Teófilo Otoni [ 13 ]. Mucuri Valley is part of the Northeast Macro-Region of Minas Gerais, Brazil, with a territorial extension of 24,781.5 km 2 and a population of 516,073 inhabitants, marked by drastic socioeconomic contrasts, high rates of illiteracy and poverty, and low rates of control of hypertension and DM [ 14 ].…”
Section: Methodsmentioning
confidence: 99%
“…Data were obtained through the usual medical and nursing consultation procedures, recorded in the software developed in the study [ 13 ]. Variables of interest were sociodemographic data (age, sex, education, income), clinical data (hypertension, DM, stroke, peripheral arterial disease, coronary artery disease, heart failure, alcoholism, physical inactivity, smoking), laboratory data (glycated hemoglobin [HbA 1c ]), physical examination measures (systolic BP [SBP] and diastolic BP [DBP]), and follow-up data (number of consultations performed).…”
Section: Methodsmentioning
confidence: 99%
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“…CDSSs should not be an extension of their work, rather they should serve as a support for the development of more advanced CDSS frameworks. Indeed, according to the results of the systematic literature on controlling diabetes and hypertension with CDSSs, 63 a variety of sources agreed that such systems were useful in promoting prevention, supporting treatment, and improving patient care. However, doctors claim that they have caused significant delays in everyday practice.…”
Section: Meaningful Algorithms To Minimize Alert Overridementioning
confidence: 99%
“…Questions were focused on aesthetics, utilization (2 questions), relevance (2 questions), and adoption (1 question). Each item was assessed through a Likert-scale [6,7]. Other elements could be added in free-text comment.…”
Section: Evaluation Of the Clinical Decision Support Systemmentioning
confidence: 99%