Type 1 diabetes mellitus: can coaching improve health outcomes?

Magalhães, Thais Pereira Costa; Fóscolo, Rodrigo Bastos; Soares, Aleida Nazareth; Reis, Janice Sepúlveda

doi:10.20945/2359-3997000000058

Cited by 6 publications

(2 citation statements)

References 13 publications

(18 reference statements)

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“…When used in such a way, shared decision making is key to successful therapeutic relationships-those between patients and their HCPs-and, ultimately, patients' adherence and achievement of treatment aims [8]. Several studies have demonstrated that patients' improvement in HbA 1c (glycated hemoglobin) and perceived diabetes competence are associated with a medical environment where clinicians encourage patients' autonomy [9,10].…”

Section: The Potential Of Shared Decision Makingmentioning

confidence: 99%

Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study

Bradway¹,

Giordanengo²,

Joakimsen³

et al. 2020

JMIR Res Protoc

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Background There is rising demand for health care’s limited resources. Mobile health (mHealth) could be a solution, especially for those with chronic illnesses such as diabetes. mHealth can increases patients’ options to self-manage their health, improving their health knowledge, engagement, and capacity to contribute to their own care decisions. However, there are few solutions for sharing and presenting patients’ mHealth data with health care providers (HCPs) in a mutually understandable way, which limits the potential of shared decision making. Objective Through a six-month mixed method feasibility study in Norway, we aim to explore the impacts that a system for sharing patient-gathered data from mHealth devices has on patients and HCPs during diabetes consultations. Methods Patients with diabetes will be recruited through their HCPs. Participants will use the Diabetes Diary mobile phone app to register and review diabetes self-management data and share these data during diabetes consultations using the FullFlow data-sharing system. The primary outcome is the feasibility of the system, which includes HCP impressions and expectations (prestudy survey), usability (System Usability Scale), functionalities used and data shared during consultations, and study-end focus group meetings. Secondary outcomes include a change in the therapeutic relationship, patient empowerment and wellness, health parameters (HbA1c and blood pressure), and the patients’ own app-registered health measures (blood glucose, medication, physical activity, diet, and weight). We will compare measures taken at baseline and at six months, as well as data continuously gathered from the app. Analysis will aim to explain which measures have changed and how and why they have changed during the intervention. Results The Full Flow project is funded for 2016 to 2020 by the Research Council of Norway (number 247974/O70). We approached 14 general practitioner clinics (expecting to recruit 1-2 general practitioners per clinic) and two hospitals (expecting to recruit 2-3 nurses per hospital). By recruiting through the HCPs, we expect to recruit 74 patients with type 2 and 33 patients with type 1 diabetes. Between November 2018 and July 2019, we recruited eight patients and 15 HCPs. During 2020, we aim to analyze and publish the results of the collected data from our patient and HCP participants. Conclusions We expect to better understand what is needed to be able to share data. This includes potential benefits that sharing patient-gathered data during consultations will have on patients and HCPs, both individually and together. By measuring these impacts, we will be able to present the possibilities and challenges related to a system for sharing mHealth data for future interventions and practice. Results will also demonstrate what needs to be done to make this collaboration between HCPs and patients successful and subsequently further improve patients’ health and engagement in their care.

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Section: The Potential Of Shared Decision Makingmentioning

confidence: 99%

Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study

Bradway¹,

Giordanengo²,

Joakimsen³

et al. 2020

JMIR Res Protoc

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“…These complications, if recurrent, can lead to serious medical problems including neurological damage, kidney disease, vision loss, and vascular damage, as well as reduced quality of life [5]. Despite the risks generated by poor management, more than 70% of people with T1DM maintain HbA1c levels above 7%, and less that 20% of them are able to achieve optimal control over blood glucose [5,6]. One of the main reasons that patients experience above-target glycemic control is the challenge of managing diabetes [7].…”

Section: Introductionmentioning

confidence: 99%

Psychotherapeutic Interventions to Improve Psychological Adjustment in Type 1 Diabetes: A Systematic Review

Resurrección

Navas-Campaña

Gutiérrez-Colosía

et al. 2021

IJERPH

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Background: International clinical practice guidelines highlight the importance of improving the psychological and mental health care of patients with Type 1 diabetes mellitus (T1DM). Psychological interventions can promote adherence to the demands of diabetes self-care, promoting high quality of life and wellbeing. Methods: A systematic review was carried out to determine whether psychological treatments with a specific focus on emotional management have an impact on glycemic control and variables related to psychological adjustment. Comprehensive literature searches of PubMed Medline, Psycinfo, Cochrane Database, Web of Science, and Open Grey Repository databases were conducted, from inception to November 2019 and were last updated in December 2020. Finally, eight articles met inclusion criteria. Results: Results showed that the management of emotions was effective in improving the psychological adjustment of patients with T1DM when carried out by psychologists. However, the evidence regarding the improvement of glycemic control was not entirely clear. When comparing adolescent and adult populations, findings yielded slightly better results in adolescents. Conclusions: More rigorous studies are needed to establish what emotional interventions might increase glycemic control in this population.

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