Dataset Information

Drug-related problems among patients with infectious disease admitted to medical wards of Wollega University Referral Hospital: Prospective observational study.

ABSTRACT:

Introduction

Drug-related problems can affect the treatment outcomes of hospitalized patients and outpatients that lead to morbidity and mortality. Despite this, there were scanty of studies among patients with infectious diseases in Ethiopia. As the result, this study was tried to assess the magnitude and determinants of drug therapy problems among infectious disease patients admitted to the medical wards of Wollega University Referral Hospital.

Methods

A prospective observational study was conducted from May to August 2019. The prevalence and types of drug- related therapy problems were studied using the Pharmaceutical Care Network Europe Foundation classification system, and adverse drug reaction was assessed by using the Naranjo algorithm. Multivariable logistic regression analysis was used to determine the predictors of drug-related problems, and a significant association was declared if p-value?ResultOf the 172 study participants, 106 (61.6%) were males, and the patient's mean age was 39.1?±?14.31?years. Over the study period, 123 (71.51%) patients had drug-related problems. Need for additional drug therapy was the widely occurred drug-related problem that accounts for 107 (22.77%), and the most common drug-associated with the drug therapy problem was ceftriaxone (77 (44.77%)). This inappropriate use of ceftriaxone might be due to the preference of physicians to prescribe this broad spectrum antibiotic in which it was prescribed for the majority of the infectious disease etiology. Polypharmacy (adjusted odds ratio (AOR)?=?2.505, 95% confidence interval (CI): 1.863-11.131), length of hospital stay???7?days (AOR?=?4.396, 95% CI: 1.964-7.310), and presence of co-morbidity (AOR?=?2.107, 95% CI: 1.185-4.158, p?=?0.016) were determinants of drug-related problems.

Conclusion

The magnitude of drug-related problems was found to be high. Hence, the clinical pharmacy service should be established to tackle inappropriate indications, ineffective drug therapy, and adverse drug events in the study area.

SUBMITTER: Bekele F

PROVIDER: S-EPMC7841694 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Drug-related problems among patients with infectious disease admitted to medical wards of Wollega University Referral Hospital: Prospective observational study.

Bekele Firomsa F Fekadu Ginenus G Bekele Kumera K Dugassa Dinka D Sori Jiregna J

SAGE open medicine 20210122

<h4>Introduction</h4>Drug-related problems can affect the treatment outcomes of hospitalized patients and outpatients that lead to morbidity and mortality. Despite this, there were scanty of studies among patients with infectious diseases in Ethiopia. As the result, this study was tried to assess the magnitude and determinants of drug therapy problems among infectious disease patients admitted to the medical wards of Wollega University Referral Hospital.<h4>Methods</h4>A prospective observationa ...[more]

PMID: 33552517

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Project description:Introduction Currently, COVID-19 contributes to mortality and morbidity in developed as well as in developing countries since December 2019. However, there is scarcity of evidence regarding the incidence and predictors of death among patients admitted with COVID-19 in developing country including Ethiopia, where the numbers of deaths are under-reported. Hence, this study aimed to assess the incidence and predictors of death among patients admitted with COVID-19 in Wollega University Referral Hospital (WURH), western Ethiopia. Methods An institution based retrospective cohort study design was conducted among 318 patients admitted with COVID-19 in WURH treatment center. Patients who were tested positive for COVID-19 by using rRT-PCR test and admitted with the diagnosis of severe COVID-19 cases from September 30, 2020 to June 10, 2021 were a source population. Epidata version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression analysis was used to determine factors associated with mortality from COVID-19. Multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of mortality from COVID-19 at p-value < 0.05. Results A total of 318 patients were included in final analysis with mean age of 44 (SD±16.7) years and about two third (67.9%) were males. More than half (55.7%) of patients had no comorbidity on admission. The majority, 259 (81.45%) of patients recovered from COVID-19 and 267 (84%) of patients were censored at the end of follow up. The incidence rate of mortality was 14.1 per/1000 (95%CI: 10.7, 18.5) person days observation. Age ≥ 59 years (AHR: 5.76, 95%CI: 2.58, 12.84), low oxygen saturation (AHR: 2.34, 95% CI: (2.34, 4.17), and delayed presentation (AHR: 5.60, 95%CI: 2.97, 10.56) were independent predictors of mortality among COVID-19 patients. Conclusion The mortality rate of COVID-19 pandemic was high in the study area, and most of death was happened during the first 10 days. Being old age, low oxygen saturation and delayed presentation were factors which predict mortality due to COVID-19. Hence, strengthening the health care delivery system to satisfy the need of the patients should get due attention to reduce the incidence of mortality from COVID-19 cases.

Project description:BackgroundThe neonatal period is the most vulnerable time for survival in which children face the highest risk of dying in their lives. Neonatal mortality (NM) remains a global public concern, especially in sub-Saharan African (SSA) countries. Although, better progress has been made in reducing NM before 2016, Ethiopia is currently one of the top ten countries affected by NM. Studies are limited to secondary data extraction in Ethiopia which focus only on survival status during admission, and no study has been conducted in the study area in particular.ObjectiveTo assess the survival status and predictors of neonatal mortality among neonates admitted to the NICU of WURH and Nekemte Specialized Hospital, Western Ethiopia.MethodsAn institution-based prospective cohort study was conducted among a cohort of 412 neonates admitted to the NICU of WURH and Nekemte Specialized Hospital from September 1, 2020 to December 30, 2020. All neonates consecutively admitted to the NICU of the two hospitals during the study period were included in the study. Data entry was performed using Epidata version 3.0 and the analysis was performed using STATA version 14. A Kaplan Meier survival curve was constructed to estimate the cumulative survival probability. A cox proportional hazards regression model was used to identify the predictors of NM. Hazard Ratios with 95% CI were computed and all the predictors associated with the outcome variable at p-value ≤ 0.05 in the multivariable cox proportional hazards analysis were declared as a significant predictor of NM.ResultsA total of 412 neonates were followed for a median of 27 days with an IQR of 22-28 days. During the follow-up period, a total of 9249 person day observations (PDO) were detected. At the end of follow-up, 15.3% of neonates died with an overall incidence rate of death 6.81/1000 PDO. The median time to death was 10 days, and the highest incidence rate of death was observed during the first week of the neonatal period. The study found that rural residence (AHR = 2.04, 95%CI: 1.14, 3.66), lack of ANC visits (AHR = 7.77, 95%CI: 3.99, 15.11), neonatal hypothermia (AHR = 3.04, 95%CI: 1.36, 6.80), and delayed initiation of breastfeeding (AHR = 2.26, 95% CI: 1.12, 4.56) as independent predictors of NM. However, a decreased number of pregnancies decrease the risk of NM.Conclusions and recommendationsThe incidence rate of neonatal death was high particularly in the first week of life in the study area. The study found that lack of ANC visit, neonatal hypothermia, increased number of pregnancies, rural residence, and delayed initiation of breastfeeding positively predicted NM. Therefore, there is a need to encourage programs that enhance ANC visits for pregnant mothers and community-based neonatal survival strategies, particularly for countryside mothers.

Project description:IntroductionDespite its alarming spread throughout the world, no effective drug and vaccine is discovered for COVID-19 so far. According to WHO, the recovery time from COVID-19 was estimated to be 2 weeks for patients with mild infection, and 3 to 6 weeks for those with serious illnesses. A studies regarding the median recovery time and its predictors are limited globally and specifically in Ethiopia. Therefore, the aim of this study was to estimate the median time to recovery from COVID-19 and its predictors among COVID-19 cases admitted to WURH, Western Ethiopian.MethodsThis was a hospital-based retrospective cohort study conducted among 263 adult patients admitted with COVID-19 in WURH treatment center from March 29, 2020 through September 30, 2020. Epidata version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression model was fitted to determine factors associated with recovery time. A variable with P-value ≤ 0.25 at bivariable Cox regression analysis were selected for multivariable Cox proportional model. Multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of time to recovery from COVID-19 at P-value < 0.05.ResultsThe mean age of patient was 36.8 (SD± 10.68) years. At the end of follow up, two hundred twenty seven observations were developed an event (recovered) with median time to recovery of 18 days with IQR of 10-27 days. The overall incidence rate of recovery was of 4.38 per 100 (95% CI: 3.84, 4.99) person-days observations. Being older age (AHR = 1.59, 95% CI: 1.02, 2.49), presence of fever on admission (AHR = 1.78, 95% CI: 1.21, 2.62), and comorbidity (AHR = 0.56, 95% CI, 0.34, 0.90) were found to have statistically significant association with recovery time.Conclusion and recommendationsIn general, the median recovery time of patients with COVID-19 cases was long, and factors such as older age group, presence of fever, and comorbidity was an independent predictors of delayed recovery from COVID-19. Intervention to further reduce recovery time at treatment center has to focus on patients those shows symptoms and with comorbidities.

Project description:BackgroundAdverse drug events (ADEs) are an important public health problem with considerable clinical and economic costs. However there are limited studies of ADE incidence in adult inpatients in low-income countries, particularly in Ethiopia. Hence, this study aimed to assess the incidence of adverse drug events and associated factors in patients hospitalized in the medical wards of Wolaita Sodo University teaching referral hospital (WSUTRH).MethodsA prospective observational study was conducted involving 240 patients admitted to the medical wards of WSUTRH. A checklist was used for data collection, while standard tools were employed for assessing the probability and characterization of ADEs. A multifaceted approach involving daily chart review, patient interview, attendance at ward rounds and/or meetings, and staff reports were employed to collect the data. To identify factors independently associated with ADEs, logistic regression analysis was conducted using Stata version 15.ResultsPatients were followed from ward admission to discharge, accounting for 2200 patient-days of hospital stay. Overall, 976 medications were ordered during the hospital stay. Sixty-four ADEs were identified with an incidence of approximately 27 per 100 admissions and 29 per 1000 patient days. Of the total ADEs, 59% were preventable. Regarding the severity, 2% of the ADEs were severe, while 54% were moderate. The risk of ADEs increased with longer hospital stay (LOHS) (p = 0.021), in patients with blood and immune disease diagnosis (p = 0.001), use of cardiovascular medicines (p = 0.028), and an increase in the number of medications prescribed (p = 0.021).ConclusionsIn this study, ADEs were identified in about one-quarter of the participants. Longer hospital stays, blood and immune diseases, cardiovascular medicines use, and multiple medication use had increased the likelihood of ADE occurrences. The majority of the ADEs were preventable, indicating the existence of a window of opportunity to ensure patient safety.

Project description:BackgroundDrug-related problem is any event involving drug therapy that may interfere in a patient's desired clinical outcome. It has been pointed out that hospitalized pediatric patients are particularly prone to drug-related problems. Thus, this study aimed to assess drug-related problems and its predictors among pediatric patients diagnosed with infectious diseases admitted to Jimma University Medical Center, Southwest Ethiopia.MethodologyA prospective observational study was conducted among pediatric patients with infectious diseases admitted to the Jimma University Medical Center. Drug-related problems were classified based on Cipolle, Morley, and Strand's drug-related problems classification method. The patient's specific data were collected using a structured questionnaire. Data were entered into Epi data version 4.0.2 and then exported to statistical software package version 21.0 for analysis. To identify predictors of drug-related problems occurrence, multiple stepwise backward logistic regression analysis was done. Statistical significance was considered at a p-value < 0.05.ResultsOf the total 304 participants, 226 (74.3%) of them had at least one drug-related problem during their hospital stay. A total of 356 drug-related problems were identified among 226 patients. Anti-infective medication was the major class of drug involved in drug-related problems. Noncompliance (28.65%) and dose too low (27.53%) were the most common type of drug-related problems identified. Presence of disease comorbidity (adjusted odds ratio = 3.39, 95% confidence interval = 1.89-6.08), polypharmacy (adjusted odds ratio = 3.16, 95% confidence interval = 1.61-6.20), and more than 6 days stay in hospital (adjusted odds ratio = 3.37, 95% confidence interval = 1.71-6.64) were independent predictors for the occurrence of drug-related problems..ConclusionDrug-related problems were high among pediatric patients with infectious disease in the study setting. The presence of comorbidity, polypharmacy, and prolonged hospital stay were predictors of drug-related problems in this finding. Therefore, to prevent these problems, the collaboration of clinical pharmacists, pediatricians, and other health care professionals is needed during the provision of pharmaceutical care.

Dataset Information

Drug-related problems among patients with infectious disease admitted to medical wards of Wollega University Referral Hospital: Prospective observational study.

Introduction

Methods

Conclusion

Publications

Drug-related problems among patients with infectious disease admitted to medical wards of Wollega University Referral Hospital: Prospective observational study.

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