Literature DB >> 33427686

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.

Milena Soriano Marcolino1,2, João Antonio Queiroz Oliveira1,2, Christiane Corrêa Rodrigues Cimini3, Junia Xavier Maia2, Vânia Soares Oliveira Almeida Pinto3, Thábata Queiroz Vivas Sá2, Kaique Amancio1,2, Lissandra Coelho3, Leonardo Bonisson Ribeiro2, Clareci Silva Cardoso4, Antonio Luiz Ribeiro1,2.   

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.
METHODS: This mixed methods study is a substudy of HealthRise Brazil Project, a multinational study designed to implement pilot programs to improve screening, diagnosis, management, and control of hypertension and diabetes among underserved communities. Following the identification of gaps in usual care, a team of clinicians established the software functional requirements. Recommendations from evidence-based guidelines were reviewed and organized into a decision algorithm, which bases the CDSS reminders and suggestions. Following pretesting and expert panel assessment, pilot testing was conducted in a quasi-experimental study, which included 34 primary care units of 10 municipalities in a resource-constrained area in Brazil. A Likert-scale questionnaire evaluating perceived feasibility, usability, and utility of the application and professionals' satisfaction was applied after 6 months. In the end-line assessment, 2 focus groups with primary care physicians and nurses were performed.
RESULTS: A total of 159 reminders and suggestions were created and implemented for the CDSS. At the 6-month assessment, there were 1939 patients registered in the application database and 2160 consultations were performed by primary care teams. Of the 96 health care professionals who were invited for the usability assessment, 26% (25/96) were physicians, 46% (44/96) were nurses, and 28% (27/96) were other health professionals. The questionnaire included 24 items on impressions of feasibility, usability, utility, and satisfaction, and presented global Cronbach α of .93. As for feasibility, all professionals agreed (median scores of 4 or 5) that the application could be used in primary care settings and it could be easily incorporated in work routines, but physicians claimed that the application might have caused significant delays in daily routines. As for usability, overall evaluation was good and it was claimed that the application was easy to understand and use. All professionals agreed that the application was useful (score 4 or 5) to promote prevention, assist treatment, and might improve patient care, and they were overall satisfied with the application (median scores between 4 and 5). In the end-line assessment, there were 4211 patients (94.82% [3993/4211] with hypertension and 24.41% [1028/4211] with diabetes) registered in the application's database and 7960 consultations were performed by primary health care teams. The 17 participants of the focus groups were consistent to affirm they were very satisfied with the CDSS.
CONCLUSIONS: The CDSS was applicable in the context of primary health care settings in low-income regions, with good user satisfaction and potential to improve adherence to evidence-based practices. ©Milena Soriano Marcolino, João Antonio Queiroz Oliveira, Christiane Corrêa Rodrigues Cimini, Junia Xavier Maia, Vânia Soares Oliveira Almeida Pinto, Thábata Queiroz Vivas Sá, Kaique Amancio, Lissandra Coelho, Leonardo Bonisson Ribeiro, Clareci Silva Cardoso, Antonio Luiz Ribeiro. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.01.2021.

Entities:  

Keywords:  clinical decision support systems; diabetes mellitus; evidence-based practice; hypertension; patient care management; primary health care; telemedicine

Mesh:

Year:  2021        PMID: 33427686      PMCID: PMC7834943          DOI: 10.2196/18872

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


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