A systematic review of adherence to diabetes self‐care behaviours: Evidence from low‐ and middle‐income countries

Mogre, Victor; Johnson, Natalie; Tzelepis, Flora; Shaw, Jonathan E.; Paul, Christine

doi:10.1111/jan.14190

Cited by 69 publications

(80 citation statements)

References 89 publications

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“…This variation probably related to improved public awareness toward the benefit of physical activity to control chronic diseases including diabetes through weight reduction. 6,32,33 The overall prevalence of good adherence to self-care behaviors in this study was 42.7%. This finding was higher than the finding of a study conducted by Ayele; et al found 39.0% of diabetes patients adhered to recommended self-care practices.…”

Section: Discussionmentioning

confidence: 63%

<p>Predictors of Adherence to Self-Care Behavior Among Patients with Diabetes at Public Hospitals in West Ethiopia</p>

Oluma

Mosisa

Abadiga

et al. 2020

DMSO

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Background: Diabetes is a typical chronic disease that needs integrated and multifaceted approaches. Self-care practices are fundamental to achieve good blood glucose control and prevent long-term complications. Therefore, the aim of the study was to determine the level and predictors of adherence to self-care behavior among patients with diabetes on follow-up at public hospitals of western Ethiopia. Patients and Methods: The cross-sectional study design was employed on a sample of 423 diabetic patients on follow-up at public hospitals of western Ethiopia. A systematic random sampling method was employed. The data were entered into Epi data version 3.1 and exported into Statistical Package for the Social Sciences window version 24 for analysis. All variables significant at p-value <0.05 in the bivariable were entered in multivariate regression analysis. Backward stepwise goodness of fit was used to ascertain the suitable variables in multiple linear regression analysis. Finally, multivariate linear regression analysis with adjusted B, CI at 95%, and the significance level was set at p <0.05. All predictive variables were reported in terms of adjusted R2. Results: The overall mean and standard deviation of adherence to self-care behavior was 23.09 ±6.55. Among the study participants, 42.70% had good self-care behavior. Selfefficacy (B=0.106, p<0.001), home blood glucose test (B=0.075, p<0.001), exercise per week (0.035, P<0.002), meal planning (B=0.039, P<0.001), dietary restriction (B=0.077, P<0.001), duration of diabetes<4 years (B=0.030, P<0.013), non-pharmacological intervention (B=0.055, P<0.011), and good appetite (B=0.039, P<0.045) were significant variables associated with adherence to self-care behaviors. Conclusion: The overall level of adherence to self-care behavior was low. Therefore, we recommended that it is better if the national health policymaker focused on dietary management modality that engages patients' behavior change to develop self-care practices and closely monitoring of glucose level. Also, we recommended an additional longitudinal study incorporating a qualitative study that focused on behavioral changes.

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Section: Discussionmentioning

confidence: 63%

<p>Predictors of Adherence to Self-Care Behavior Among Patients with Diabetes at Public Hospitals in West Ethiopia</p>

Oluma

Mosisa

Abadiga

et al. 2020

DMSO

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“…On the other hand, the losses relating to achieving glycemic control are less explained by inadequacy of health systems' resources and mostly linked to barriers to patients' adherence. There are several factors that may affect the level of adherence Apart from the limited access to support services, which has been reported as a leading health system's barrier to adherence and lack of health insurance, medicines, and affordability of dietary recommendations ( 60 ), there are difficulties of changing long-term behaviors or changing food choices and eating habits based on cultural meaning of food, social pressure, and so on ( 61 , 62 ). This finding underlines the need for understanding the barriers and facilitators of patients' attitudes toward self-care in order to design population-adjusted approaches to influence human behavior.…”

Section: Health Care Models’ Performancementioning

confidence: 99%

The Challenges in the Development of Diabetes Prevention and Care Models in Low-Income Settings

2020

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In low-and middle-income countries (LMICs), the burden of non-communicable diseases such as diabetes is rapidly rising, overpassing the existing burden of communicable diseases. Patients with diabetes living in low-income communities face unique challenges related to lack of awareness, difficulty in accessing health care systems and medications, and consequently failure in achieving optimal diabetes management and preventing complications. Effective diabetes prevention and care models could help reduce the rising burden by standardizing guidelines for prevention and management, improving access to care, engaging community and peers, improving the training of professionals and patients and using the newest technology in the management of the disease. In this article, we review the latest research and evidence on effective models of diabetes prevention and diabetes care delivery in low-income settings. We also provide existing evidence relating to the effectiveness of these models in low-resource contexts, with the aim to highlight characteristics and strengths that make their implementation successful and long-lasting.

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“…Type 1 Diabetes (Dm1) is a chronic metabolic condition caused by an absolute insulin deficiency [ 1 ] brought about by the autoimmune destruction of pancreatic β-cells. Treatment includes behavioral and metabolic self-care measures [ 2 ] like proper nutrition, avoidance of toxic habits such as tobacco and alcohol consumption, and regular physical exercise [ 3 ]. It also includes insulin administration, self-monitoring of blood glucose, and the detection and treatment of hypoglycemia [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Personality Prototypes in People with Type 1 Diabetes and Their Relationship with Adherence

Sánchez-Urbano

Pino

Herruzo

2021

IJERPH

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Type 1 diabetes (Dm1) is a chronic endocrine and metabolic disease that affects the whole person and requires active, decisive treatment. However, personality traits may influence a patient’s adherence to treatment guidelines. The objective of this work is firstly to identify the 3 Asendorpf personality prototypes (resilient, undercontrolled and overcontrolled) in a sample of Dm1 individuals and determine whether there are any differences in comparison with a control sample; and, secondly, to study their association with adherence to self-care guidelines using both physiological indicators (HbA1C) and self-report measures. To achieve these objectives, a descriptive cross-sectional study was carried out. The sample comprised 294 participants, of whom 104 were people with Dm1 and 190 were controls. The participants, aged between 14 and 34 years, were classified by their scores in NEO-FFI-R, according to the personality characteristics inherent to Asendorpf’s prototypes. Asendorpf’s 3 prototypical personality patterns were found both in the group of people with Dm1 and in the control sample. These patterns showed different degrees of association with adherence to self-care guidelines for this disease and with psychological health factors. Importance should therefore be attached to the personality traits and Asendorpf prototypes of people with Dm1 when proposing interventions to address medical, psychological, and behavioral aspects.

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A systematic review of adherence to diabetes self‐care behaviours: Evidence from low‐ and middle‐income countries

Cited by 69 publications

References 89 publications

<p>Predictors of Adherence to Self-Care Behavior Among Patients with Diabetes at Public Hospitals in West Ethiopia</p>

<p>Predictors of Adherence to Self-Care Behavior Among Patients with Diabetes at Public Hospitals in West Ethiopia</p>

The Challenges in the Development of Diabetes Prevention and Care Models in Low-Income Settings

Personality Prototypes in People with Type 1 Diabetes and Their Relationship with Adherence

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