Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals

Bellei, Ericles Andrei; Biduski, Daiana; Cechetti, Nathália Pinto; Marchi, Ana Carolina Bertoletti De

doi:10.1089/tmj.2017.0230

Cited by 32 publications

(24 citation statements)

References 41 publications

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“…In the context of FHS and primary care, digital technologies can assuage health care discrepancy, enabling the provision of integrated information on disease management, especially hypertension [44][45][46] . Using m-Health technologies represents an attractive option to improve health behaviors and outcomes given the widespread use of these technologies [47][48][49] . Feedback, workshops, and primary care offered by the FHS can be enhanced by using m-Health.…”

Section: Discussionmentioning

confidence: 99%

Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy

Debon

Bellei

Biduski

et al. 2020

Sci Rep

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Brazil's Family Health Strategy (FHS) leads public health policies and actions regarding community health, addressing arterial hypertension (AH) in primary care settings. In this scenario, the use of communication technologies becomes appropriate for the monitoring of patients with AH. To preliminary verify the intervention approach and the effects of using an m-Health application on the health conditions of patients with AH for a future study, we conducted a non-randomized, controlled, non-blind trial (N = 39), comparing the use of a mobile health app (m-Health) with conventional AH monitoring over 3 months. During the study, we promoted health information workshops to engage patients from both intervention and control groups. Pre and post-intervention, we compared measurements of systolic and diastolic blood pressure; food frequency questionnaire; Appraisal of Self-Care Agency Scale; blood tests of hemogram, creatinine, uric acid, sodium, potassium, lipid profile, and glycemia. Improvements were identified in both groups due to the workshops, including the reduction in total and non-HDL cholesterol, healthier consumption of salads and sugary drinks, and increased selfcare scores. Exclusively in the intervention group, which used the m-Health app, there was a change in systolic and diastolic pressure towards more adequate levels. In addition, the intervention group had improved levels of glucose and HDL cholesterol and reduced consumption of ultra-processed foods. In conclusion, the use of an m-Health app had positive effects on the health conditions of patients with AH under treatment within FHS, especially when combined with health information. On the context of FHS, the use of technology is encouraging supporting better health conditions. Arterial hypertension (AH) is one of the main modifiable risk factors for diseases of the circulatory system. With a high prevalence, AH is considered one of the most important public health problems. The World Health Organization estimates that about 600 million people have AH and, annually, 7.1 million individuals die from this disease, substantially burdening health systems 1. Among the AH modifiable factors, either by medication or by altering habits and behavior, there is obesity, sedentary lifestyle, eating habits, and stress. Controlling blood pressure can still be a challenge since, with everyday activities and lack of time, many people do not bother to maintain their normal blood pressure levels 2. Among the main non-medicinal recommendations that should be followed, there are healthy eating, physical activity, reduction of sodium and alcohol consumption, and non-consumption of tobacco 3 .

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Section: Discussionmentioning

confidence: 99%

Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy

Debon

Bellei

Biduski

et al. 2020

Sci Rep

Self Cite

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“…Given the scenario of limited resources in health care systems, the use of information communication and technology (ICT) for medical self‐care has become an increasingly popular topic in literature (Bellei, Biduski, Cechetti, & De Marchi, ; Bodenheimer, Lorig, Holman, & Grumbach, ; Gammon, Berntsen, Koricho, Sygna, & Ruland, ; McMillan, Kirk, Hewitt, & Macrury, ; Nundy et al, ; Pullar et al, ). In the case of diabetes self‐care, seven behaviours form the basis of diabetes self‐management, namely, healthy eating, being active, blood glucose monitoring, taking medication, problem‐solving, healthy coping, and reducing risks (American Association of Diabetes Educators, ).…”

Section: Introductionmentioning

confidence: 99%

Challenges for the adoption of ICT for diabetes self‐management in South Africa

Petersen

Brown

Pather

et al. 2019

E J Info Sys Dev Countries

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The increasing disease burden in developing countries inhibits the provision of quality care to citizens. However, the increased availability of information communication and technology (ICT) tools makes this a viable option for inclusion in primary health care. Even so, barriers are impeding the successful adoption and usage of ICT tools in health care contexts. This research focuses on one such context to identify the challenges and barriers for the adoption of ICT tools for diabetes self‐management in the Western Cape province of South Africa. The extended technology acceptance model (TAM) and four factors (educational, technological, economic, and sociocultural factors) were identified as a basis for investigation. Evidence was gathered from a sample of 131 diabetic patients using semistructured interviews. These factors, together with TAM constructs, explore how patients interact with ICT and their attitudes towards the use of ICT for diabetes self‐management. The results indicate that all four factors form barriers to ICT adoption for diabetes self‐management. These findings provide a basis to inform how future interventions at the primary health care level may be developed to overcome the identified barriers in efforts to integrate ICT tools into diabetic patients' daily self‐management routines.

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“…13 Although there are many reviews that attempt to assess the current state of mobile applications used in randomized clinical trials of T1D, to the best of our knowledge there are no apps or diabetes devices that collect data on SMBs and CTs in real-time and at the level of granularity that has been done with iDECIDE for this study. 14 The self-management survey and 30-day pilot test of iDECIDE is a continuation of previous work by the authors, 11,12 where we replaced semistructured interviews with a more detailed survey and paper-based logs with a smartphone app for self-tracking meals, alcohol, and exercise, and for reporting CTs. When comparing behaviors from the survey and the app, we found a high level of concordance when compensating for meals and a high level of discordance and variability for alcohol and exercise.…”

Section: Discussionmentioning

confidence: 99%

“…eating a snack or disconnecting from the pump to compensate for exercise). 10,13,14 Thus, we have limited insights into the cognitive processes associated with the management of their diabetes.…”

Section: Background and Significancementioning

confidence: 99%

Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors

et al. 2018

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Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals

Cited by 32 publications

References 41 publications

Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy

Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy

Challenges for the adoption of ICT for diabetes self‐management in South Africa

Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors

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