&lt;p&gt;Associations of different adherences in patients with type 2 diabetes mellitus&lt;/p&gt;

Klinovszky, Andrea; Kiss, István Márton; Papp-Zipernovszky, Orsolya; Lengyel, Csaba; Buzás, Norbert

doi:10.2147/ppa.s187080

Cited by 31 publications

(26 citation statements)

References 49 publications

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“…The results of research carried out by Basińska et al, in which the respondents placed the strongest health locus of control in the internal dimension, and the weakest in the chance [13], are different. Similar results were presented in the research conducted by Klinovszky et al, where the respondents most strongly indicated the important role of internal health control; secondly, they located health control in other people, and lastly in chance [14].…”

Section: Discussionsupporting

confidence: 88%

Health locus of control among patients with type 2 diabetes – preliminary test results

Czyżowicz¹,

Wojtas²,

Szydło³

et al. 2019

ppiel

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Introduction: Diabetes is an increasing problem of contemporary societies. In chronic diseases, the patient's approach has a significant impact on self-care, treatment, and prevention of complications. It is related to the concept of internal or external health locus of control. Aim of the study: The aim of the study was to investigate health locus of control among type 2 diabetes patients. Material and methods: The study involved 70 patients with type 2 diabetes, hospitalised in the Clinical Department of Metabolic Diseases at the University Hospital in Krakow. The Multidimensional Health Locus of Control scale (MHLC)-version B and the authors' questionnaire were used to examine the health locus of control. Statistical analysis was carried out using Statistica 13.1, and p < 0.05 was the significance level. Results: The highest result was obtained in the area of locus of control in the external dimension-the influence of other people, followed by the internal dimension. The lowest result was obtained in the area of health locus of control in chance. Locus of health control in the external dimension correlated with the age and education level of the respondents and the support they received, as well as with their reactions to the diagnosis. Both the internal and external dimensions of health locus of control correlated with the knowledge of the respondents about hypoglycaemia and hyperglycaemia. Conclusions: The results of our own research indicate the necessity of taking actions aimed at strengthening the internal sense of health control in patients with type 2 diabetes.

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Section: Discussionsupporting

confidence: 88%

Health locus of control among patients with type 2 diabetes – preliminary test results

Czyżowicz¹,

Wojtas²,

Szydło³

et al. 2019

ppiel

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“…Effective self‐management is essential to prevent diabetes‐associated complications and includes significant lifestyle changes related to diet, activity and monitoring (American Association of Diabetes Educators, 2014). Individuals’ adherence to such changes varies with their perceived health locus of control, diabetes self‐efficacy and length of time with their type 2 diabetes diagnosis (Klinovszky, Kiss, Papp‐Zipernovszky, Lengyel, & Buzás, 2019). Facilitators and barriers to effective diabetes self‐management behaviours vary among individuals and can change over time (Harvey, Dopson, McManus, & Powell, 2015).…”

Section: Introductionmentioning

confidence: 99%

Making sense of blood glucose data and self‐management in individuals with type 2 diabetes mellitus: A qualitative study

Despins

Wakefield

2020

Journal of Clinical Nursing

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Aims and objectives To describe individuals' with type 2 diabetes mellitus sense‐making of blood glucose data and other influences impacting self‐management behaviour. Background Type 2 diabetes mellitus prevalence is increasing globally. Adherence to effective diabetes self‐management regimens is an ongoing healthcare challenge. Examining individuals’ sense‐making processes can advance staff knowledge of and improve diabetes self‐management behaviour. Design A qualitative exploratory design examining how individuals make sense of blood glucose data and symptoms, and the influence on self‐management decisions. Methods Sixteen one‐on‐one interviews with adults diagnosed with type 2 diabetes mellitus using a semi‐structured interview guide were conducted from March–May 2018. An inductive–deductive thematic analysis of data using the Sensemaking Framework for Chronic Disease Self‐Management was used. The consolidated criteria for reporting qualitative research (COREQ) checklist were used in completing this paper. Results Three main themes described participants’ type 2 diabetes mellitus sense‐making and influences on self‐management decisions: classifying blood glucose data, building mental models and making self‐management decisions. Participants classified glucose levels based on prior personal experiences. Participants learned about diabetes from classes, personal experience, health information technology and their social network. Seven participants expressed a need for periodic refreshing of diabetes knowledge. Conclusion Individuals use self‐monitored glucose values and/or HbA1C values to evaluate glucose control. When using glucose values, they analyse the context in which the value was obtained through the lens of personal parameters and expectations. Understanding how individuals make sense of glycaemic data and influences on diabetes self‐management behaviour with periodic reassessment of this understanding can guide the healthcare team in optimising collaborative individualised care plans. Relevance to clinical practice Nurses must assess sense‐making processes in self‐management decisions. Periodic “refresher” diabetes education may be needed for individuals with type 2 diabetes mellitus.

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“…Patient–physician relationship and family support also play the major role in patients’ self-care adherence.14 Some studies have reported that self-efficacy and positive attitude also can minimize the barriers to self-care adherence towards management of diabetes 14,15. Health belief and patient attitude towards management of diabetes may be affected by inadequate knowledge about diabetes, inability to understand doctor’s instruction and fear on the side effect of long-term medication.16 Alongside, improvement on self-care adherence and minimization of their barriers can be achieved by focusing on diabetic education and self-management support programs to the specific population.15…”

Section: Introductionmentioning

confidence: 99%

<p>Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study</p>

Pokhrel

Shrestha

Timilsina

et al. 2019

JMDH

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PurposeThe patient believes in adherence to medication rather than to self-care adherence and lifestyle changes for the management of diabetes. This study was carried out to establish the association of self-care adherence and their barriers in poor glycemic control in our diabetic population.Patients and methodsThis cross-sectional study was conducted among 480 already diagnosed diabetes outpatients attended in our two hospitals. Glycaemic control was defined by levels of HbA1c. Socio-demographic data, lifestyle variables and anthropometric measurements were recorded using a standard questionnaire. Fasting blood glucose, HbA1c and lipid profiles were estimated using the manufacturer’s guideline. Student’s t-test and one-way ANOVA were used for comparison between different groups and the correlation was established by Spearman correlation. Risk factors associated with poor glycaemic control were verified by logistic regression analysis.ResultsThe mean HbA1c of the study population was 7.4±1.3% and 65.4% had poor glycaemic control with mean 8.0±1.1%. Higher HbA1c levels were significantly associated with duration of diabetes, a number of drugs used, patient–physician relationship and knowledge about diabetes. The poor glycaemic control was significantly associated with low adherence of following the meal plan, regular medication and regular exercising (p<0.001). Among all the barriers, a too busy schedule for following the meal plan, taking medications and exercising regularly was significantly correlated with HbA1c levels. Multivariable logistic regression analysis showed irregular meal plan (OR=5.27), irregular exercise (OR=2.25), number of medication used (OR= 0.19) and lesser extent patient–physician relationship (OR=2.68) were independent risk factors for poor glycaemic control.ConclusionThe poor glycaemic control was associated with poor adherence to self-care adherence and their barriers in our diabetic population. Integrated knowledge on diabetes management should be targeted to improve glycaemic control in our communities.

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<p>Associations of different adherences in patients with type 2 diabetes mellitus</p>

Cited by 31 publications

References 49 publications

Health locus of control among patients with type 2 diabetes – preliminary test results

Health locus of control among patients with type 2 diabetes – preliminary test results

Making sense of blood glucose data and self‐management in individuals with type 2 diabetes mellitus: A qualitative study

<p>Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study</p>

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