Factors Associated With Glycemic Control among Type 2 Diabetes Patients Attending Mathari National Teaching Hospital, Nairobi Kenya

Nduati, Ngoyo James

doi:10.15226/2374-6890/3/6/00162

Cited by 21 publications

(25 citation statements)

References 17 publications

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“…This raises concern as poorly controlled diabetes puts the patients at risk of complications [38]. Other studies on T2DM patients have reported even a lower proportion of patients with controlled HbA1c [38][39][40]. The results on the effect of mobile phone communication in this study are similar to those made in other studies [41][42][43] where the communication did not have a significant effect.…”

Section: Discussionsupporting

confidence: 84%

“…The proportion of subjects with well-controlled HbA1c was relatively low in both the intervention and control groups, and mobile phone communication did not have a significant effect in the control. This raises concern as poorly controlled diabetes puts the patients at risk of complications [38]. Other studies on T2DM patients have reported even a lower proportion of patients with controlled HbA1c [38][39][40].…”

Section: Discussionmentioning

confidence: 99%

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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: 84%

Section: Discussionmentioning

confidence: 99%

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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“…The result of this study showed that the level of glycemic control among type II diabetic patients is 71.4% which is consistent with the finding at Dessie Referral Hospital (70.8%), Jimma University Teaching Hospital (70.9%), Turkey (67.5), Myanmar (72.1%), and Saudi Arabia (74.9%) [ 12 , 20 , [30] , [31] , [32] ]. On the other hand, it is below than the study conducted at Tikur Anbessa Hospital (80%), South Africa (83.8%), Kenya (81.6%), India (91.8%), and Palestine (80.5%) [ [33] , [34] , [35] , [36] , [37] ]. On the other hand, it is higher than the study done at Zambia (61.3%), Limmu Genet Hospital (63.8%), Suhul Hospital (63.5%), Nigeria (55%), Ayider Specialized hospital (48.7%) and Shenen Gibe Hospital (59.2%) [ 21 , [38] , [39] , [40] , [41] , [42] ].…”

Section: Discussionmentioning

confidence: 80%

Level of glycemic control and its associated factors among type II diabetic patients in debre tabor general hospital, northwest Ethiopia

et al. 2020

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Introduction Poor glycemic control is the major risk factor for the development of acute and chronic diabetes complications. There are limited studies on the level of glycemic control and its associated factors among diabetic patients. So, this study aimed to assess the level of glycemic control and its associated factors among type II DM patients in Debre Tabor General Hospital. Methods An institution based cross sectional study was conducted from November 1–30, 2017. Totally, 413 diabetic patients selected by systematic random sampling. The three months average fasting blood glucose was used to determine glycemic control. Regressions were fitted to identify associated factors. A p-value <0.05 was used to declare statistical significance. Result A total of 398 study participants were participated in the study with a response rate of 96.4%. Among 398 type II DM patients, 284 (71.4%) had poor glycemic control. Patient’s educational status (able to read and write; AOR = 3.0, 95%CI (1.5, 5.7), (primary education; AOR = 4.5, 95%CI (1.8, 10.9), and (secondary education; AOR = 5.7, 95% CI (2.9, 11.2)))), family history of DM (AOR = 2.3, 95%CI (1.4, 3.9)), duration of DM since diagnosis (AOR = 0.3, 95% CI (0.1, 0.9)), and dietary adherence (AOR = 2.4, 95% CI (1.4, 4.1)) were associated factors to had good glycemic control. Conclusion Poor glycemic control was high. Educational status, family history of DM, duration of DM, and dietary adherence were the associated factors of glycemic control. Appropriate attention shall be given for glycemic control especially for patients with a longer duration. Health promotion related to medical recommendations is a cross-cutting intervention for diabetic patients and should be provided for all type II diabetic patients.

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“…Diabetes self-management education complements diabetes medication, which has failed to control blood glucose despite its accessibility and proven efficacy in many type 2 diabetic patients (HBA1c ≤ 6.5%). An estimated 80% of type 2 diabetes patients in Kenya 5 and Cape Town, South Africa, respectively 6 have poor glycaemic control contributing to an increase in diabetes complications. This increase necessitates effective diabetes prevention and control measures including DSME, especially noting that a 1-point improvement of HbA1c is associated with a 20% and 30% – 40% decrease in macro-vascular and micro-vascular complications, respectively.…”

Section: Introductionmentioning

confidence: 99%

Effect of diabetes self-management education on glycaemic control among type 2 diabetic patients at a family medicine clinic in Kenya: A randomised controlled trial

Gathu

Shabani

Kunyiha

et al. 2018

Afr. j. prim. health care fam. med.

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BackgroundDiabetes self-management education (DSME) is a key component of diabetes care aimed at delaying complications. Unlike usual care, DSME is a more structured educational approach provided by trained, certified diabetes educators (CDE). In Kenya, many diabetic patients are yet to receive this integral component of care. At the family medicine clinic of the Aga Khan University Hospital (AKUH), Nairobi, the case is no different; most patients lack education by CDE.AimThis study sought to assess effects of DSME in comparison to usual diabetes care by family physicians.SettingFamily Medicine Clinic, AKUH, Nairobi.MethodsNon-blinded randomised clinical trial among sub-optimally controlled (glycated haemoglobin (HbA1c) ≥ 8%) type 2 diabetes patients. The intervention was DSME by CDE plus usual care versus usual care from family physicians. Primary outcome was mean difference in HbA1c after six months of follow-up. Secondary outcomes included blood pressure and body mass index.ResultsA total of 220 diabetes patients were screened out of which 140 met the eligibility criteria and were randomised. Around 96 patients (69%) completed the study; 55 (79%) in the DSME group and 41 (59%) in the usual care group. The baseline mean age and HbA1c of all patients were 48.8 (standard deviation [SD]: 9.8) years and 9.9% (SD: 1.76%), respectively. After a 6-month follow-up, no significant difference was noted in the primary outcome (HbA1c) between the two groups, with a mean difference of 0.37 (95% confidence interval: -0.45 to 1.19; p = 0.37). DSME also made no remarkable change in any of the secondary outcome measures.ConclusionFrom this study, short-term biomedical benefits of a structured educational approach seemed to be limited. This suggested that offering a short, intensified education programme might have limited additional benefit above and beyond the family physicians’ comprehensive approach in managing chronic conditions like diabetes.

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Factors Associated With Glycemic Control among Type 2 Diabetes Patients Attending Mathari National Teaching Hospital, Nairobi Kenya

Cited by 21 publications

References 17 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

Level of glycemic control and its associated factors among type II diabetic patients in debre tabor general hospital, northwest Ethiopia

Effect of diabetes self-management education on glycaemic control among type 2 diabetic patients at a family medicine clinic in Kenya: A randomised controlled trial

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