Assessment of drug related problems among type 2 diabetes mellitus patients with hypertension in Hiwot Fana Specialized University Hospital, Harar, Eastern Ethiopia
Abstract:ObjectiveThis study was conducted to assess magnitude and pattern of drug related problems among patients with type 2 diabetes mellitus (T2DM) and hypertension.ResultsThis study identified 364 drug related problems (DRPs) across the three categories of drug related problems, giving an average of 1.8 DRPs per patient. The effect of drug treatment being not optimal 179 (49.2%), untreated indication and symptoms 77 (21.1%), unnecessary drug-treatment 39 (10.7%) and adverse drug reactions 69 (19%) were the most fr… Show more
“…This finding is in contrast to a study done in Jordan (81%) and Southeast Ethiopia (88%). 8,15 The difference might be due to the previous studies use of different DRPs identification and classification methods. Previous studies used the Cipolle and Strand classification method of DRPs, whereas the current study used the PCNE classification method.…”
Section: Discussionmentioning
confidence: 99%
“…The data collection tool was developed by reviewing different reports for important variables that have been used to assess drug-related problems and its predictors. 10,15,17 Patients were interviewed face-to face to fill out their socio-demographic and drug use-elated information. The main content of the tool included sociodemographic characteristics (age, sex, marital status, occupational status, educational status, smoking status, alcohol status, khat chewing) and clinical and drugrelated characteristics (family history, comorbidities, duration of diabetes, type of diabetes, status of glycemic control, complications, number of drugs prescribed, and type of drugs).…”
Section: Data Collection Tool and Proceduresmentioning
confidence: 99%
“…11,12 In Ethiopia, the majority of studies related to DRPs in diabetic patients were conducted among patients with type 2 diabetes. [13][14][15] However, understanding the magnitude of the DRPs and their predictors among patients with type 1 and type 2 diabetes would be important in achieving the desired therapeutic outcome. 16 In addition, it may be helpful to reveal the gap in pharmaceutical care service so as to empower the focus of healthcare providers and policy makers in designing strategies to prevent the occurrence of DRP.…”
Background: Patients with diabetes are vulnerable to experiencing drug-related problems. Thus, this study aimed to assess drug-related problems and their predictors among patients with diabetes attending the ambulatory clinic of Gebre Tsadik Shawo General Hospital. Methods: A cross-sectional study was conducted from September 1, 2019 to November 30, 2019. Drug-related problems were identified using the Pharmaceutical Care Network Europe version 5.01. Patient's written informed consent was obtained after explaining the purpose of the study. The data were collected using structured questionnaires and entered into Epi data version 4.0.2. Then, it was exported to SPSS version 21.0 for analysis. To identify predictors of the occurrence of drug-related problems, multiple stepwise backward logistic regression analysis was done. For the accuracy of data analysis, a 95% confidence interval was used, and statistical significance was considered at p-values <0.05. Results: From a total of 141 patients with diabetes included in the study, 58.2% of them had at least one drug-related problem during the 3-month study period. A total of 156 drugrelated problems were identified in 141 patients. Drug interactions (30.76%) and drug choice problems (25%) were the most common type of drug-related problems identified. Presence of disease comorbidity (AOR=4.12, 95% CI=1.71-9.91), poly-pharmacy (AOR=6.27, 95% CI=1.67-23.52) and more than 5 years diabetes duration (AOR=3.89, 95% CI=1.52-9.95) were independent predictors of drug-related problems. Conclusion: Drug-related problems were high among patients with diabetes in the study setting. Early detection of drug-related problems ensures the appropriateness of drug therapy. Therefore, a sustainable pharmaceutical care service is needed for early identification, prevention and resolution of drug-related problems.
“…This finding is in contrast to a study done in Jordan (81%) and Southeast Ethiopia (88%). 8,15 The difference might be due to the previous studies use of different DRPs identification and classification methods. Previous studies used the Cipolle and Strand classification method of DRPs, whereas the current study used the PCNE classification method.…”
Section: Discussionmentioning
confidence: 99%
“…The data collection tool was developed by reviewing different reports for important variables that have been used to assess drug-related problems and its predictors. 10,15,17 Patients were interviewed face-to face to fill out their socio-demographic and drug use-elated information. The main content of the tool included sociodemographic characteristics (age, sex, marital status, occupational status, educational status, smoking status, alcohol status, khat chewing) and clinical and drugrelated characteristics (family history, comorbidities, duration of diabetes, type of diabetes, status of glycemic control, complications, number of drugs prescribed, and type of drugs).…”
Section: Data Collection Tool and Proceduresmentioning
confidence: 99%
“…11,12 In Ethiopia, the majority of studies related to DRPs in diabetic patients were conducted among patients with type 2 diabetes. [13][14][15] However, understanding the magnitude of the DRPs and their predictors among patients with type 1 and type 2 diabetes would be important in achieving the desired therapeutic outcome. 16 In addition, it may be helpful to reveal the gap in pharmaceutical care service so as to empower the focus of healthcare providers and policy makers in designing strategies to prevent the occurrence of DRP.…”
Background: Patients with diabetes are vulnerable to experiencing drug-related problems. Thus, this study aimed to assess drug-related problems and their predictors among patients with diabetes attending the ambulatory clinic of Gebre Tsadik Shawo General Hospital. Methods: A cross-sectional study was conducted from September 1, 2019 to November 30, 2019. Drug-related problems were identified using the Pharmaceutical Care Network Europe version 5.01. Patient's written informed consent was obtained after explaining the purpose of the study. The data were collected using structured questionnaires and entered into Epi data version 4.0.2. Then, it was exported to SPSS version 21.0 for analysis. To identify predictors of the occurrence of drug-related problems, multiple stepwise backward logistic regression analysis was done. For the accuracy of data analysis, a 95% confidence interval was used, and statistical significance was considered at p-values <0.05. Results: From a total of 141 patients with diabetes included in the study, 58.2% of them had at least one drug-related problem during the 3-month study period. A total of 156 drugrelated problems were identified in 141 patients. Drug interactions (30.76%) and drug choice problems (25%) were the most common type of drug-related problems identified. Presence of disease comorbidity (AOR=4.12, 95% CI=1.71-9.91), poly-pharmacy (AOR=6.27, 95% CI=1.67-23.52) and more than 5 years diabetes duration (AOR=3.89, 95% CI=1.52-9.95) were independent predictors of drug-related problems. Conclusion: Drug-related problems were high among patients with diabetes in the study setting. Early detection of drug-related problems ensures the appropriateness of drug therapy. Therefore, a sustainable pharmaceutical care service is needed for early identification, prevention and resolution of drug-related problems.
“…Przeprowadzenie przeglądu lekowego u 62let niej pacjentki pozwoliło na wykrycie pięciu pro blemów lekowych. Podobnie jak w przypadku badania przeprowadzonego u pacjentów cho rych na cukrzycę typu 2. i nadciśnienie tętnicze, problemami, które zidentyfikowano były: nie skuteczna farmakoterapia, nieleczone wskazania i objawy, zbędne przyjmowanie leków oraz dzia łania niepożądane leków [5].…”
“…The prevalence of the 'toxic combination' of HTN and T2DM was reported to be equal to T2DM alone in Cameroon (9).HTN and T2DM are important risk factors for cardiovascular diseases which overlap and have a common pathophysiology (9)(10)(11) . Hypertension is common in individuals that have already developed T2DM (12).Projections indicate that by 2035, SSA will have 41 million people with T2DM (13). Other projections indicate that by 2025 ,125million people in SSA will have HTN (14).…”
BackgroundHypertension (HTN) and type 2 diabetes mellitus (T2DM) are reported to be on the increase in developing countries. In this study we investigated the epidemiology of the prevalence of HTN and T2DM and its correlates in a high density area. We carried out this study to assess the magnitude of the prevalence of HTN and T2DM so that we can query the drivers that are causing an increase conditions in these conditions.
MethodsWe conducted a cross-sectional study in Hatcliffe, a high density area (HDA) in Harare. We interviewed, bled, took anthropometric and measured blood pressure of 381 participants. We investigated HbA1c, blood pressure, BMI and prevalence of prehypertension, prediabetes, co-existence of HTN and T2DM. A geospatial analysis was carried out to ascertain distribution patterns of HTN and T2DM in Hatcliffe.
ResultsThe prevalence for prehypertension and prediabetes is higher than it is for full blown conditions of the HTN and T2DM. The prevalence of prehypertension was 35.4% and prediabetes was 29%.The prevalence of HTN in this study was 14.4% whilst that of T2DM was 3.93%. Out of the 55 participants that had developed HTN five had developed T2DM. There was no significant difference in the HTN and T2DM clusters.
ConclusionsThe prevalence for prehypertension and prediabetes is higher than it is for full blown conditions of the HTN and T2DM. This indicates the importance of having a strategy for reducing the number of prediabetes and prehypertensive cases so that cases of full blown T2DM and HTN remain low.
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