Glycaemic control status among type 2 diabetic patients and the role of their diabetes coping behaviours: a clinic-based study in Tripoli, Libya

Ashur, Sana Taher; Shah, Shamsul Azhar; Bosseri, Soad; Fah, Tong Seng; Shamsuddin, Khadijah

doi:10.3402/ljm.v11.31086

Cited by 41 publications

(57 citation statements)

References 33 publications

(56 reference statements)

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“…Most of respondents in this study were married. This is consistent with another study in Coastal Kenya where 77% of the respondents were married and another in Tripoli, Libya where 76.9% were married [29,30]. However the results are lower than a study in India on T2DM where 98.7% of the respondents were married while another study in Ethiopia on T2DM patients showed 65.1% as married [31,32].…”

Section: Discussionsupporting

confidence: 85%

Effect of Using Mobile Phone Communication on Morbidity and Health Seeking Behavior of Type 2 Diabetes Mellitus Patients at Kitui County Referral Hospital, Kenya

Wairimu¹,

Makokha²,

Kyallo³

2019

IJDE

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There is an increasing prevalence of Type 2 Diabetes Mellitus (T2DM) in Kenya. This is despite the implementations of various interventions to prevent and manage the condition. Despite increasing use of mobile phone communication in Kenya, this technology has not been utilized in management of T2DM, though it has been applied in other countries. The objective of this study was to determine the effect of using mobile phone communication on the morbidity and health seeking behavior of T2DM patients. The study was conducted among 138 patients attending the diabetes clinic at Kitui County Referral Hospital. A pretested questionnaire was used to collect data on socio economic characteristics, morbidity status and health seeking behavior at the baseline and after mobile phone based intervention. There was a greater decline in morbidity in the experimental group (35.8% to 22.4%) compared to the control group (31% to 29.6%). The difference between groups was significant (OR=0.48; 95% CI= 0.27-0.85), p<0.05). The proportion of respondents with controlled blood pressure (BP) increased in experimental group (44.8% to 49.3%) compared to a reduction in the control group (53.5% to 47.9%). The effect of the intervention was significant (p<0.05). Self-monitoring of blood glucose (SMBG) increased from 32.8% to 41.8% in experimental group while it reduced from 39.4% to 31% in control group. The effect of the intervention was statistically significant (p<0.05). This study concludes that use of mobile phone communication led to significant decrease in morbidity prevalence and an increase in the proportion of T2DM patients that carried out self-monitoring of blood glucose in T2DM patients while it did not have a significant effect on glycemic control, diabetes clinic attendance and monitoring of feet health.

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Section: Discussionsupporting

confidence: 85%

Effect of Using Mobile Phone Communication on Morbidity and Health Seeking Behavior of Type 2 Diabetes Mellitus Patients at Kitui County Referral Hospital, Kenya

Wairimu¹,

Makokha²,

Kyallo³

2019

IJDE

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“…Ten included studies evaluated foot care among diabetes patients from which two studies investigated foot care only (Shown in Table ). Six studies (Al‐Amer et al, ; Ashur et al, ; Assah et al, ; Bhandari & Kim, ; Mogre, Abanga, et al, ; Mosha & Rashidi, ) reported foot care adherence according to the mean number of days diabetes patients adhered to foot care recommendations; mean days ranged from 2.2–4.3 days in a week. Huang et al () reported a mean foot care practice score of 77.47% among Chinese persons with diabetes (higher scores indicate better self‐perceived overall foot care).…”

Section: Resultsmentioning

confidence: 99%

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

Mogre

Johnson

Tzelepis

et al. 2019

Journal of Advanced Nursing

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Aims To determine diabetes patient's adherence to five self‐care behaviours (diet, exercise; medication, self‐monitoring of blood glucose [SMBG] and foot care) in low‐ and middle‐income countries. Design Systematic review. Data sources We searched MEDLINE, CINAHL, PUBMED, SCOPUS, PsycINFO, EMBASE, Cochrane library and EMCARE for the period January 1990 – June 2017. Review Methods Title, abstract and full text screening were done according to eligibility criteria. A narrative synthesis of the literature was conducted. Results A total of 7,109 studies were identified of which 27 met the review eligibility criteria and were included. All the studies used self‐report of adherence to diabetes self‐care. Studies reported adherence rates in two major forms: (a) mean number of days participants performed a recommended dietary behaviour/activity during the past week; and (b) proportions of participants adhering to a recommended self‐care behaviour. Mean number of days per week participants adhered to a self‐care behaviour ranged from 2.34.6 days per week for diet, 5.5–6.8 days per week for medication, 1.8–5.7 days per week for exercise, 0.2–2.2 days per week for SMBG and 2.2–4.3 days per week for foot care. Adherence rates ranged from 29.9%–91.7% for diet, 26.0%–97.0% for medication taking, 26.7%–69.0% for exercise, 13.0%–79.9% for self‐monitoring of blood glucose and 17.0%–77.4% for foot care. Conclusion Although most diabetes patients do not adhere to recommended self‐care behaviours, adherence rates vary widely and were found to be high in some instances. Impact Health services in low‐ and middle‐income countries should monitor adherence to diabetes self‐care behaviours rather than assume adherence and resources should be invested in improving adherence to the self‐care behaviours. Large‐scale accurate monitoring of adherence to diabetes self‐care behaviour is needed and consideration should be given to choice of measurement tool for such exercise.

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“…The study instruments have been previously used by other studies [6][7][8][9][10][11][12][13][14][15][16].…”

Section: Mosleh Et Almentioning

confidence: 99%

“…The other part covered patient clinical characteristics data including medical history, type II diabetes duration, body mass index, smoking status, and any medications. The medical history question was presented to the participant as a list of illnesses with a dichotomous (yes/no) response [6,7]. All participants were asked to state their current antidiabetic treatment to investigate the antidiabetic therapy type as well as insulin treatment during the past 1 year.…”

Section: Sociodemographic and Health Questionnairementioning

confidence: 99%

“…The first seven items were yes/no questions while the eighth item was answered on a 5-point Likert scale. Scores can range from zero to eight, with one score given for each "No" answer except for item number five where one score was given for a "Yes" answer, and the eighth item with zero given for "all the time" and one score for "never/rarely" [6,7,12,13,26].…”

Section: Self-care Management Scalementioning

confidence: 99%

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Predictors of Good Glycemic Control Among Type Ii Diabetes Patients in Palestine

Mosleh

Aziz

Ali

et al. 2017

Asian J Pharm Clin Res

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Objectives: The aim of this study is to assess glycemic control and its relationship with patient characteristics, health-care system factors, and self-care management in type II diabetes patients. Methods:A retrospective cross-sectional study was conducted among 330 type II diabetes patients who met the inclusion criteria and whose medical records covered a period of 1 year. Data concerning patient characteristics, health-care system factors, self-care management, and available last reading of hemoglobin A1c (HbA1c) were collected through personal interviews and a medical records' review using structured questionnaires and data collection forms. Good glycemic control was defined as HbA1c ≤7%. To assess the results, the Statistical Package for Social Sciences (version 16) was used to undertake descriptive, univariate, and multivariate analyses. Results:The mean±standard deviation age was 60±9.7 years. More than half of the participants were male (51.2%), and the majority had additional chronic diseases (88.5%). Of the total 271 participants whose HbA1c levels have been monitored, 16.7% had good glycemic control. Multivariate analysis showed that unemployment was significantly related to a decreased odds of good glycemic control (odds ratio=0.34; 95% confidence interval=0.12-0.98; p<0.05). Conclusion:The study noted that the proportion of patients with good glycemic control was low, a result comparable to studies from many countries. Further investigation and improvement of inappropriate health-care system factors and self-care management together with educational programs that emphasize the importance of self-care management and the health-care providers' role would be of great benefit in glycemic control.

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Glycaemic control status among type 2 diabetic patients and the role of their diabetes coping behaviours: a clinic-based study in Tripoli, Libya

Cited by 41 publications

References 33 publications

Effect of Using Mobile Phone Communication on Morbidity and Health Seeking Behavior of Type 2 Diabetes Mellitus Patients at Kitui County Referral Hospital, Kenya

Effect of Using Mobile Phone Communication on Morbidity and Health Seeking Behavior of Type 2 Diabetes Mellitus Patients at Kitui County Referral Hospital, Kenya

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

Predictors of Good Glycemic Control Among Type Ii Diabetes Patients in Palestine

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