Pandemic-Related Impairment in the Monitoring of Patients With Hypertension and Diabetes and the Development of a Digital Solution for the Community Health Worker: Quasiexperimental and Implementation Study

Christiane Correa Rodrigues Cimini; Junia Xavier Maia; Magda Carvalho Pires; Leonardo Bonisson Ribeiro; Vânia Soares de Oliveira E Almeida Pinto; James Batchelor; Antonio Luiz Pinho Ribeiro; Milena Soriano Marcolino

doi:10.2196/35216

Pandemic-Related Impairment in the Monitoring of Patients With Hypertension and Diabetes and the Development of a Digital Solution for the Community Health Worker: Quasiexperimental and Implementation Study

JMIR Med Inform. 2022 Mar 29;10(3):e35216. doi: 10.2196/35216.

Authors

Christiane Correa Rodrigues Cimini¹, Junia Xavier Maia², Magda Carvalho Pires³, Leonardo Bonisson Ribeiro², Vânia Soares de Oliveira E Almeida Pinto¹, James Batchelor⁴, Antonio Luiz Pinho Ribeiro⁵, Milena Soriano Marcolino²

Affiliations

¹ Medical School and Telehealth Center, Universidade Federal dos Vales do Jequitinhonha e Mucuri, Teófilo Otoni-MG, Brazil.
² Telehealth Center, Hospital das Clínicas, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
³ Department of Statistics, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
⁴ Clinical Informatics Research Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
⁵ Telehealth Center and Cardiology Service, Hospital das Clínicas, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

PMID: 35191842
PMCID: PMC8966891
DOI: 10.2196/35216

Abstract

Background: The restrictions imposed by the COVID-19 pandemic reduced health service access by patients with chronic diseases. The discontinuity of care is a cause of great concern, mainly in vulnerable regions.

Objective: This study aimed to assess the impact of the COVID-19 pandemic on people with hypertension and diabetes mellitus (DM) regarding the frequency of consultations and whether their disease was kept under control. The study also aimed to develop and implement a digital solution to improve monitoring at home.

Methods: This is a multimethodological study. A quasiexperimental evaluation assessed the impact of the pandemic on the frequency of consultations and control of patients with hypertension and DM in 34 primary health care centers in 10 municipalities. Then, an implementation study developed an app with a decision support system (DSS) for community health workers (CHWs) to identify and address at-risk patients with uncontrolled hypertension or DM. An expert panel assessment evaluated feasibility, usability, and utility of the software.

Results: Of 5070 patients, 4810 (94.87%) had hypertension, 1371 (27.04%) had DM, and 1111 (21.91%) had both diseases. There was a significant reduction in the weekly number of consultations (107, IQR 60.0-153.0 before vs 20.0, IQR 7.0-29.0 after social restriction; P<.001). Only 15.23% (772/5070) of all patients returned for a consultation during the pandemic. Individuals with hypertension had lower systolic (120.0, IQR 120.0-140.0 mm Hg) and diastolic (80.0, IQR 80.0-80.0 mm Hg) blood pressure than those who did not return (130.0, IQR 120.0-140.0 mm Hg and 80.0, IQR 80.0-90.0 mm Hg, respectively; P<.001). Also, those who returned had a higher proportion of controlled hypertension (64.3% vs 52.8%). For DM, there were no differences in glycohemoglobin levels. Concerning the DSS, the experts agreed that the CHWs can easily incorporate it into their routines and the app can identify patients at risk and improve treatment.

Conclusions: The COVID-19 pandemic caused a significant drop in the number of consultations for patients with hypertension and DM in primary care. A DSS for CHW has proved to be feasible, useful, and easily incorporated into their routines.

Keywords: COVID-19; clinical decision support systems; diabetes mellitus; hypertension; pandemic; patient care management; primary health care; telemedicine.

©Christiane Correa Rodrigues Cimini, Junia Xavier Maia, Magda Carvalho Pires, Leonardo Bonisson Ribeiro, Vânia Soares de Oliveira e Almeida Pinto, James Batchelor, Antonio Luiz Pinho Ribeiro, Milena Soriano Marcolino. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 29.03.2022.