Dataset Information

Glycemic Control of Diabetes Mellitus Patients in Referral Hospitals of Amhara Region, Ethiopia: A Cross-Sectional Study.

ABSTRACT:

Background

Glycemic control is the level of glucose in diabetes patient. Evidence regarding glycemic control is scarce in resource-limited settings, and this study was conducted to generate information regarding the prevalence and predictors of glycemic control among diabetes mellitus patients attending their care from the referral hospitals of the Amhara region, Ethiopia.

Methods

A cross-sectional study design was implemented. A simple random sampling technique was used. Data were collected from March 2018 to January 2020. The data were collected using interviews, chart review, and blood samples. Hemoglobin A1c was measured using high-performance liquid chromatography. Data were entered into Epi-info software and analyzed by SPSS software. Descriptive statistics were used to estimate the prevalence of glycemic control; linear regression was used to identify the predictors of HbA1c.

Results

A total of 2554 diabetes patients were included giving for the response rate of 95.83%. The mean age of the study participants was 54.08 years [SD?(standard?deviation) ± 8.38?years]. The mean HbA1c of the study participants was 7.31% [SD ± 0.94%]. Glycemic control was poor in 55.32% [95% CI: 53.4%-57.25%] of diabetes patients. The glycemic control of diabetes patients was determined by BMI (? 0.1; [95% CI: 0.09-0.1]), type 2 diabetes (? -0.14; [95% CI: -0.11-0.16]), age (? 0.22; [95% CI: 0.02-0.024]), duration of the disease (? 0.04; [95% CI: 0.037-0.042]), the presence of hypertension (? 0.12; [95% CI:0.09-0.16]), regular physical exercise (? -0.06; [95% CI: -0.03-0.09]), medication adherence (? -0.16; [95% CI: -0.14-0.18]), and male (? 0.34; [95% CI: 0.31-.037]).

Conclusion

The glycemic control of diabetes patients was poor, and it needs the attention of decision-makers.

SUBMITTER: Feleke BE

PROVIDER: S-EPMC7834781 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Glycemic Control of Diabetes Mellitus Patients in Referral Hospitals of Amhara Region, Ethiopia: A Cross-Sectional Study.

Feleke Berhanu Elfu BE Feleke Teferi Elfu TE Kassahun Melkamu Beyene MB Adane Wondemu Gebrekirose WG Fentahun Netsanet N Girma Abel A Alebachew Alamirew A Misgan Eyaya E Desyibelew Hanna Demelash HD Bayih Mulat Tirfie MT Seid Omer O

BioMed research international 20210116

<h4>Background</h4>Glycemic control is the level of glucose in diabetes patient. Evidence regarding glycemic control is scarce in resource-limited settings, and this study was conducted to generate information regarding the prevalence and predictors of glycemic control among diabetes mellitus patients attending their care from the referral hospitals of the Amhara region, Ethiopia.<h4>Methods</h4>A cross-sectional study design was implemented. A simple random sampling technique was used. Data wer ...[more]

PMID: 33532494

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Project description:BackgroundInformation in health care is rapidly expanding and is updated very regularly, especially with the increasing use of technology in the sector. Due to this, health care providers require timely access to the latest scientific evidence anywhere. Smartphone medical apps are tools to access the latest reputable scientific evidence in the discipline. In addition, smartphone medical apps could lead to improved decision making, reduced numbers of medical errors, and improved communication between hospital medical staff.ObjectiveThe aim of this study was to assess smartphone medical app use and associated factors among physicians working at referral hospitals of the Amhara region, Ethiopia.MethodsAn institution-based cross-sectional study design was conducted among physicians working at 5 referral hospitals in the Amhara region, Ethiopia, from February 5 to May 27, 2019. A simple random sampling method was used to select 423 physicians. A self-administered questionnaire was used to collect the data and analyzed using SPSS, version 21 (IBM Corp). Binary and multivariable logistic regression analysis was performed to assess factors associated with smartphone medical app use among physicians. A value of P<.05, corresponding to a 95% CI, was considered statistically significant. The validity of the questionnaire was determined based on the view of experts and the reliability of it obtained by calculating the value of Cronbach alpha (α=.78).ResultsIn this study, most of the 417 respondents (375, 89.9%) had medical apps installed on their smartphones. Of those 375 respondents, 264 (70.4%) had used medical apps during clinical practice. The medical apps most commonly used by the respondents were UpToDate, Medscape, MedCalc, and Doximity. According to multivariable logistic regression analysis, attitude (adjusted odds ratio [AOR] 1.64, 95% CI 1.05-2.55), internet access (AOR 2.82, 95% CI 1.75-4.54), computer training (AOR 1.71, 95% CI 1.09-2.67), perceived usefulness of the app (AOR 1.64, 95% CI 1.05-2.54), information technology support staff (AOR 2.363, 95% CI 1.5-3.08), and technical skill (AOR 2.52, 95% CI 1.50-4.25) were significantly associated with smartphone medical app use.ConclusionsMost respondents have a smartphone medical app and have used it in clinical practice. Attitude, internet access, computer training, perceived usefulness of the app, information technology support staff, and technical skill are the most notable factors that are associated with smartphone medical app use by physicians.

Project description:BackgroundThe prevalence of metabolic syndrome is rising at an alarming rate and more common among Type 2 Diabetes Mellitus patients in the world. The risk for cardiovascular disease is greater among individuals who have a combination of Type 2 Diabetes Mellitus and metabolic syndrome compared to those who have either alone.ObjectiveTo assess the proportion of metabolic syndrome and lifestyle factors among Type 2 Diabetes Mellitus Patients in Dessie Referral Hospital, Amhara Region, Ethiopia.MethodsA hospital-based cross-sectional study was conducted from February to March 2017 among 343 randomly selected Type 2 Diabetes Mellitus patients. Three definitions of Metabolic syndrome were considered. Multivariable logistic regression analysis was conducted to identify factors associated with metabolic syndrome. Adjusted odds ratio (AOR) with 95% confidence intervals (CI) were reported to show the strength of association. Statistical significance was declared at P-value < 0.05.ResultThe proportion of metabolic syndrome was 50.3%, 59.4% and 64.5% according to 2005 International Diabetes Federation, revised ATP III and 2009 harmonized criteria, respectively. Being female (AOR = 2.43; 95% CI = 1.40, 4.21), consumption of red meat (AOR = 2.61; 95% CI = 1.28, 5.33), sedentary leisure time activity (AOR = 2.65; 95% CI = 1.47, 4.78), coffee intake (AOR = 0.43; 95% CI = 0.21, 0.86), BMI ≥ 25 kg/m2 (AOR = 9.59; 95% CI = 4.98, 18.47), 40-49 years of age (AOR = 2.74, 95% CI = (1.02, 7.37), 50-59 years of age (AOR = 4.22; 95% CI = 1.60, 11.11) and ≥70 years of age (AOR = 4.51, 95% CI = 1.44, 14.15) were significantly associated with metabolic syndrome.Conclusion and recommendationThe proportion of metabolic syndrome was high among Type 2 Diabetes Mellitus patients. Overweight and obesity, being female, age of respondent, intake of coffee, regular red meat consumption, and sedentary leisure-time activity were factors associated with metabolic syndrome. Counseling of Type 2 Diabetes Mellitus patients on the need for spending leisure time with activities, intake of coffee, control of body weight, and avoidance of regular red meat consumption is recommended.

Project description:BackgroundChronic kidney disease (CKD) is the severest form of kidney disease characterized by poor filtration. The magnitude of chronic kidney disease is trending upward in the last few years linked with the rapidly escalating cases of non-communicable chronic diseases, particularly diabetes mellitus. However, little is known about when this problem may occur, the incidence as well as predictors of chronic kidney disease among type-II diabetes mellitus patients. Thus, this study was conducted to determine the incidence, time to the occurrence, and predictors of chronic kidney disease in type-II diabetic patients attending the Amhara region referral hospitals, Ethiopia.MethodsA retrospective follow-up study was conducted involving 415 participants with type-II diabetes mellitus that enrolled in the chronic follow-up from 2012 to 2017. Multivariable shared Frailty Weibull (Gamma) survival model was employed considering the hospitals as a clustering variable. Model fitness was checked by both the Akaike information criteria (AIC) and log-likelihood. Factors having a p-value of ≤0.2 in the bi-variable analysis were considered to enter the multivariable model. Variables that had a p-value of <0.05 with its corresponding 95% confidence level were deemed to be significant predictors of chronic kidney disease.ResultsThe overall cumulative incidence of chronic kidney disease was 10.8% [95%; CI: 7.7-14.0%] with a median occurrence time of 5 years. The annual incidence rate was 193/10,000 [95%; CI: 144.28-258.78]. Having cardiovascular disease/s [AHR = 3.82; 95%CI: 1.4470-10.1023] and hypercholesterolemia [AHR = 3.31; 95% CI: 1.3323-8.2703] were predictors of chronic kidney disease.ConclusionOne out of every ten diabetic patients experienced chronic kidney disease. The median time to develop chronic kidney disease was five years. Hypercholesterolemia and cardiovascular diseases have escalated the hazard of developing CKD. Thus, health promotion and education of diabetic patients to optimize cholesterol levels and prevent cardiovascular disease is recommended to limit the occurrence of this life-threatening disease.

Project description:Background: Literatures revealed that healthcare-associated infections are still a great concern in many developing countries including in Ethiopia. Despite the development of detailed guidelines for infection control, they remain as a critical challenge for the public health sectors and the knowledge of standard precautions among healthcare workers in many developing countries is low and not properly applied. Hence, the present study tried to determine the level of knowledge about standard precautions among healthcare workers of Amhara region, Ethiopia.Methods: Institutional based cross-sectional study was conducted on a randomly selected public hospitals of Amhara region, Northwest Ethiopia from March 01-April 01/2017. A multistage sampling strategy was utilized to select 795 sampled healthcare workers. Data were collected using pretested self-administered questionnaire. The collected data entered using EpiData Version 3.1 statistical software and analyzed using SPSS version 20 statistical package. After using binary logistic regression, multivariable logistic regression analysis used to form the model. Variables which had statistically significant association with the outcome variable (P < 0.05) were identified as significant in the multivariable logistic regression analysis.Results: Almost half (49.2%) of the study participants were female healthcare workers. Three-fourth (74.3%) of the healthcare workers involved in the current study had good knowledge towards standard precautions. Good knowledge towards standard precautions refers to scoring correct responses to >?60% of knowledge items from the survey. Year of service (AOR: 0.27, 95% CI: 0.16 to 0.44), educational status (AOR: 1.7, 95% CI: 1.13 to 2.56) were among the predictor variables. In addition, physicians were 6.97 times more likely to be knowledgeable (AOR: 6.97, 95% CI 2.42 to 20.12) than laboratory technician/technology counterparts. Study participants working in medical, Gyn/obs, pediatrics wards, and OPD were about 2.23, 4.27, 2.81 and 2.52 times more likely to be knowledgeable than study participants working in surgical ward.Conclusions: Overall, the majority of healthcare workers had good knowledge of standard precautions. But variation in knowledge was detected across healthcare workers by hospital type and ward/units. This may help to design a solution by prioritizing the problem.

Project description:BackgroundApplying evidence-based practice during care provision is essential because it improves the quality of care, reduces health care costs, and increases patient and family satisfaction. However, information on evidence-based nursing practice and associated factors were not well studied and documented in the study area. Hence, this study aimed to assess utilization and associated factors of evidence-based practice among nurses working in Amhara Region Referral Hospitals, Ethiopia.MethodsAn institution-based cross-sectional study was conducted from March 18 to April 16, 2019, in Amhara Region Referral Hospitals. A simple random sampling technique was used to select 684 respondents. Data were collected using a pretested and self-administered questionnaire. Data were entered into Epi Info version 7.1.2.0 and exported to SPSS version 22.0 for analysis. The bivariable analysis was used primarily and variables with p-value < 0.2 were further examined using a multivariable logistic regression model to control con-founders. Then, variables' p-value < 0.05 with 95% CI was used to determine associated factors.ResultsFrom 684 proposed nurses, 671 of them completed the questionnaire giving 98.1% response rate. Of these, 55% (95% CI: 51.2, 58.9) of them had good evidence-based practice utilization. Variables including single (AOR = 1.662: 95% CI: 1.089-2.536), fewer work experience (AOR = 1.849: 95% CI: 1.049-3.257), good knowledge (AOR = 2.044: 95% CI: 1.406-2.972), effective communication skill (AOR = 2.537: 95% CI: 1.744-3.689), EBP training (AOR = 3.224 95% CI: 1.957-5.311), internet access (AOR = 1.655: 95% CI: 1.119-2.448) and evidence-based guideline availability (AOR = 1.827: 95% CI: 1.249-2.673) were found to be predictors of evidence-based practice utilization.ConclusionsThe study revealed that evidence-based practice utilization among nurses is low. Availing evidence-based guidelines in the work area, improving facilities' internet access, and building nurses' evidence-based practice competencies through either by giving separate training or incorporating as part of the curriculum would improve its utilization.

Project description:BACKGROUND:Active management of third stage of labor is the most indispensable intervention to avert post-partum hemorrhage which is one of the typical causes of maternal morbidity and mortality. Therefore, the aim of the study was to assess practice and factors associated with active management of third stage of labor among obstetric care providers in referral hospitals. METHODS:Institution based cross-sectional study design was conducted from April 1-30, 2018. Simple random sampling technique was used to select a total of 356 obstetric care providers. Data were collected using pretested, structured and self-administered questionnaires. Data were entered to Epi data version 3.1 statistical software and exported to SPSS 23 for analysis. Bivariate and multivariate logistic regression analyses were performed to identify associated factors. P value <0.05 with 95% confidence level were used to declare statistical significance. RESULT:This study revealed that practice of active management of third stage of labor was 61.2%. Age group of 20-30 years [AOR = 1.95 (95%CI;1.13-3.38)], Being male obstetric care provider [AOR = 1.74 (95%CI;1.03-2.94)], having work experience ?2 years [AOR = 1.95(95%CI;1.13-3.38)], availability of oxytocin [AOR = 5.46 (95%CI; 2.41-12.3)], having exposure to manage third stage of labor [AOR = 2.91(95%CI; 1.55-5.48)], and having good knowledge [AOR = 2.67 (95%CI; 1.46-4.90)], were the factors associated with practice. CONCLUSION:This study showed that practice of active management of third stage of labor was high. Age group between 20-30 years, being a male obstetric care provider, having ?2years work experience, availability of oxytocin, exposure to third stage management and having good knowledge were factors associated with practice. Therefore, all referral hospitals and concerned bodies need efforts to focus on providing training to increase health care provider's knowledge so as to sustain good practice through appropriate interventions.

Project description:Background:Over the past two decades, the prevalence of diabetes has increased faster in low- and middle-income countries than in high-income countries. Regardless of the instant growth in the prevalence of diabetes in Ethiopia, up-to-date data regarding glycemic control and related complications of diabetes is inadequate. This study aimed to identify glycemic control and chronic complications and their determinants among ambulatory diabetic patients at Mizan-Tepi University Teaching Hospital (MTUTH). Methods:We conducted facility-based cross-sectional study from February 25 to March 25, 2019, at Mizan-Tepi University Teaching Hospital. Patients' demographic data, diabetes complications, and treatments were collected using pretested questionnaire and data abstraction format. Data was entered by using Epidata manager 4.0.2.101, and statistical analysis was done by SPSS version 21. Bivariate logistic regression was done to see the association between independent variables and glycemic control and complication. Multivariable logistic regression analyses using backward selection were done to identify the predictors of poor glycemic control and complication at a P-value of <0.05. Results:One hundred ambulatory diabetic patients were included in this study. The mean duration of diabetes and the mean age of the participants were 3.95±5.85 and 46.66±15.53 years, respectively. About 71 (71%) of the studied diabetic patients had uncontrolled fasting blood glucose (FBG) level. More than half of the diabetic patients (59%) developed chronic complications of diabetes. Low medication adherence (adjusted odds ratio (AOR)=11.78, 95%CI: 1.09-17.17) and inappropriate doses in the first, second, and third clinic visits (AOR=7.70, 95%CI: 1.79-33.01; AOR=8.09, 95%CI: 1.90-34.33; AOR=4.34, 95%CI: 1.09-17.17), respectively, were independent predictors of uncontrolled FBG. No variable was found to be an independent predictor of chronic diabetic complication on multivariable logistic regression analyses. Conclusion:Poor glycemic control and diabetes complications among ambulatory diabetic patients were high. Low medication adherence and inappropriate doses in the first, second, and third clinic visits were independent predictors of poor glycemic control.

Dataset Information

Glycemic Control of Diabetes Mellitus Patients in Referral Hospitals of Amhara Region, Ethiopia: A Cross-Sectional Study.

Background

Methods

Results

Conclusion

Publications

Glycemic Control of Diabetes Mellitus Patients in Referral Hospitals of Amhara Region, Ethiopia: A Cross-Sectional Study.

Similar Datasets

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