scholarly journals Prevalence of potential drug- drug interactions and associated factors among outpatients and inpatients in Ethiopian Hospitals: a systematic review and Meta-analysis of observational studies

2020 ◽  
Author(s):  
Wondim Ayenew ◽  
Getahun Asmamaw ◽  
Arebu Issa
Keyword(s):  
Systematic Review ◽  
Drug Interaction ◽  
Drug Interactions ◽  
Associated Factors ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Potential Drug ◽  
Comorbid Disease ◽  
Factors Associated ◽  
Drug Drug Interaction

Abstract Background: Drug-drug interaction is an emerging threat to public health. Currently, there is an increase in comorbid disease, polypharmacy, and hospitalization in Ethiopia. Thus, the possibility of drug-drug interaction occurrence is high in hospitals. This study aims to summarize the prevalence of potential drug-drug interactions and associated factors in Ethiopian hospitals.Methods: A literature search was performed by accessing legitimate databases in PubMed/MEDLINE, Google Scholar, and Research Gate for English-language publications. To fetch further related topics advanced search was also applied in Science Direct and HINARI databases. The search was conducted on August 3 to 25, 2019. All published articles available online until the day of data collection were considered. Outcome measures were analyzed with Open Meta Analyst and CMA version statistical software. Der Simonian and Laird’s random effect model, I2 statistics, and Logit event rate were also performed.Results: A total of 14 studies remained eligible for inclusion in systematic review and meta-analysis. From the included studies, around 8,717 potential drug-drug interactions were found in 3,259 peoples out of 5,761 patients. The prevalence of patients with potential drug-drug interactions in Ethiopian hospitals was found to be 72.2% (95% confidence interval: 59.1%, 85.3%). Based on severity, the prevalence of major, moderate, and minor potential drug-drug interaction was 25.1%, 52.8%, 16.9%, respectively, also 1.27% for contraindications. The factors associated with potential drug-drug interactions were related to patient characteristics such as polypharmacy, age, comorbid disease, and hospital stay.Conclusions: There is a high prevalence of potential drug-drug interactions in Ethiopian hospitals. Polypharmacy, age, comorbid disease, and hospital stay were the risk factors associated with potential drug-drug interactions.

scholarly journals Prevalence of potential drug- drug interactions and associated factors among outpatients and inpatients in Ethiopian Hospitals: a systematic review and Meta-analysis of observational studies

2020 ◽  
Author(s):  
Wondim Ayenew ◽  
Getahun Asmamaw ◽  
Arebu Issa
Keyword(s):  
Systematic Review ◽  
Drug Interactions ◽  
Hospital Stay ◽  
Associated Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Potential Drug ◽  
Comorbid Disease ◽  
Factors Associated

Abstract Background: Drug-drug interaction is an emerging threat to the public health. In Ethiopia, there is high possibility of occurrence of drug-drug interactions in the hospitals. This is because of increased comorbid disease, increased polypharmacy, and increased hospitalization. Therefore, this study aims to summarize the prevalence of potential drug-drug interactions and associated factors in Ethiopian hospitals. Methods: Literature search was performed through accessing legitimate databases in PubMed/MEDLINE, Google Scholar and Research Gate for English-language publications. Advanced search strategies were applied in Science Direct and HINARI to identify any additional papers and published reviews and to retrieve relevant findings closely related to prevalence of potential drug- drug interactions and associated factors with it. The search was conducted from August 3-25, 2019 and all published articles available online until the day of data collection were considered. The pooled estimate of the outcome measure were analyzed by Open Meta Analyst advanced software. By considering clinical heterogeneity among original studies, Der Simonian and Laird’s random effect model were used. I2 statistics were used to assess heterogeneity among each studies. The publication bias was assessed by CMA version-3 software and presented with funnel plot of standard error and precision with Logit event rate. Results: A total of 14 studies were included for systematic review and meta-analysis. From 14 studies, 5761 patients were included and a total of 8717 potential drug- drug interactions were found in 3259 of patients. The prevalence patients with potential drug- drug interactions in Ethiopian Hospitals were found to be 72.2% (95% confidence interval: 59.1%, 85.3%). Based on severity, the prevalence of potential drug- drug interactions were 25.1%, 52.8%, 16.9% and 1.27% for major, moderate, minor potential drug- drug interactions and contraindications respectively. The factors associated with potential drug- drug interactions were related to patient characteristics such as polypharmacy, age, comorbid disease and hospital stay. Conclusions: There is a high prevalence of potential drug- drug interactions in Ethiopian Hospitals. Polypharmacy, age, comorbid disease and hospital stay were the risk factors associated with potential drug- drug interactions.

scholarly journals Prevalence of potential drug- drug interactions and associated factors among outpatients and inpatients in Ethiopian Hospitals: a systematic review and Meta-analysis of observational studies

2020 ◽  
Author(s):  
Wondim Ayenew ◽  
Getahun Asmamaw ◽  
Arebu Issa
Keyword(s):  
Systematic Review ◽  
Drug Interactions ◽  
Hospital Stay ◽  
Associated Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Potential Drug ◽  
Comorbid Disease ◽  
Factors Associated

Abstract Background: Drug-drug interaction is an emerging threat to the public health. In Ethiopia, there is high possibility of occurrence of drug-drug interactions in the hospitals. This is because of increased comorbid disease, increased polypharmacy, and increased hospitalization. Therefore, this study aims to summarize the prevalence of potential drug-drug interactions and associated factors in Ethiopian hospitals. Methods: Literature search was performed through accessing legitimate databases in PubMed/MEDLINE, Google Scholar and Research Gate for English-language publications. Advanced search strategies were applied in Science Direct and HINARI to identify any additional papers and published reviews and to retrieve relevant findings closely related to prevalence of potential drug- drug interactions and associated factors with it. The search was conducted from August 3-25, 2019 and all published articles available online until the day of data collection were considered. The pooled estimate of the outcome measure were analyzed by Open Meta Analyst advanced software. By considering clinical heterogeneity among original studies, Der Simonian and Laird’s random effect model were used. I2 statistics were used to assess heterogeneity among each studies. The publication bias was assessed by CMA version-3 software and presented with funnel plot of standard error and precision with Logit event rate. Results: A total of 14 studies were included for systematic review and meta-analysis. From 14 studies, 5761 patients were included and a total of 8717 potential drug- drug interactions were found in 3259 of patients. The prevalence patients with potential drug- drug interactions in Ethiopian Hospitals were found to be 72.2% (95% confidence interval: 59.1%, 85.3%). Based on severity, the prevalence of potential drug- drug interactions were 25.1%, 52.8%, 16.9% and 1.27% for major, moderate, minor potential drug- drug interactions and contraindications respectively. The factors associated with potential drug- drug interactions were related to patient characteristics such as polypharmacy, age, comorbid disease and hospital stay. Conclusions: There is a high prevalence of potential drug- drug interactions in Ethiopian Hospitals. Polypharmacy, age, comorbid disease and hospital stay were the risk factors associated with potential drug- drug interactions.

scholarly journals Prevalence of potential drug- drug interactions and associated factors among outpatients and inpatients in Ethiopian Hospitals: a systematic review and Meta-analysis of observational studies

2020 ◽  
Author(s):  
Wondim Ayenew ◽  
Getahun Asmamaw ◽  
Arebu Issa
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Drug Interactions ◽  
Health Care System ◽  
Associated Factors ◽  
Meta Analysis ◽  
Potential Drug ◽  
Comorbid Disease ◽  
Factors Associated ◽  
Care System

Abstract Background A very few number of studies are available regarding the evaluation of potential drug- drug interactions in Sub-Saharan Africa. This is also a problem in Ethiopian health care system. Now a days, in Ethiopia polypharmacy is increased due to comorbid conditions in the hospital health care system, a large number of patients are treated in the outpatient setting and also hospitalized and there is a high possibility for drug- drug interactions. Therefore, this study aims to summarize the prevalence of potential drug- drug interactions and associated factors in hospitals, both among hospitalized patients and outpatients in Ethiopia.Method Literature search was performed through accessing legitimate databases in PubMed/MEDLINE, Google Scholar and Research Gate for English-language publications. Advanced search strategies were applied in Science Direct and HINARI to identify any additional papers and published reviews and to retrieve relevant findings closely related to prevalence of potential drug- drug interactions and associated factors with it. The search was conducted from August 22-25, 2019 and all published and unpublished articles available online until the day of data collection were considered.Results A total of 14 studies were included for systematic review and meta-analysis. From 14 studies, 5761 patients were included and a total of 8717 potential drug- drug interactions were found in 3259 of patients. The prevalence patients with potential drug- drug interactions in Ethiopian Hospitals were found to be 72.2% (95% confidence interval: 59.1%, 85.3%). Based on severity, the prevalence of potential drug- drug interactions were 25.1%, 52.8%, 16.9% and 1.27% for major, moderate, minor potential drug- drug interactions and contraindications respectively. The factors associated with potential drug- drug interactions were related to patient characteristics such as polypharmacy, age, comorbid disease and hospital stay.Conclusion There is a high prevalence of potential drug- drug interactions in Ethiopian Hospitals. From this the most prevalent drug- drug interactions were moderate severity, 52.8%. Polypharmacy, age, comorbid disease and hospital stay were the risk factors associated with potential drug- drug interactions.

Evaluation of Potential Drug–Drug Interactions in Adults in the Intensive Care Unit: A Systematic Review and Meta-Analysis

Drug Safety ◽  
2019 ◽  
Vol 42 (9) ◽  
pp. 1035-1044 ◽  
Author(s):  
Mary Grace Fitzmaurice ◽  
Adrian Wong ◽  
Hannah Akerberg ◽  
Simona Avramovska ◽  
Pamela L. Smithburger ◽  
...  
Keyword(s):  
Systematic Review ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Drug Interactions ◽  
Meta Analysis ◽  
Potential Drug

Potential Drug Interactions— Fact or Fallacy?

1975 ◽  
Vol 9 (11) ◽  
pp. 586-590 ◽  
Author(s):  
Curtis D. Black ◽  
Nicholas G. Popovich
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Patient Care ◽  
Clinical Studies ◽  
Literature Search ◽  
Potential Drug ◽  
Careful Evaluation ◽  
Current Drug ◽  
Drug Drug Interaction

At present, the pharmacist is faced with a perplexing number of potential drug interactions as they relate to patient care. The purpose of the investigation was to evaluate current drug-drug interaction literature, specifically gastrointestinal drug interactions. Literature search and review evaluated the authoritative basis on which conclusions were made. From this, a review was written to illustrate fallacies and misconceptions that could be derived from the literature with the intent it would serve as a guide in interpreting and evaluating drug-drug interactions. The overall study illustrates the vast need for careful evaluation of drug interaction literature before erroneous recommendations are made on conceivably inconclusive clinical studies.

scholarly journals A Minimal Information Model for Potential Drug-Drug Interactions

2021 ◽  
Vol 11 ◽  
Author(s):  
Harry Hochheiser ◽  
Xia Jing ◽  
Elizabeth A. Garcia ◽  
Serkan Ayvaz ◽  
Ratnesh Sahay ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Best Practice ◽  
Task Force ◽  
Information Model ◽  
Potential Drug ◽  
Community Group ◽  
Drug Drug Interaction ◽  
Potential Interactions ◽  
Minimal Information

Despite the significant health impacts of adverse events associated with drug-drug interactions, no standard models exist for managing and sharing evidence describing potential interactions between medications. Minimal information models have been used in other communities to establish community consensus around simple models capable of communicating useful information. This paper reports on a new minimal information model for describing potential drug-drug interactions. A task force of the Semantic Web in Health Care and Life Sciences Community Group of the World-Wide Web consortium engaged informaticians and drug-drug interaction experts in in-depth examination of recent literature and specific potential interactions. A consensus set of information items was identified, along with example descriptions of selected potential drug-drug interactions (PDDIs). User profiles and use cases were developed to demonstrate the applicability of the model. Ten core information items were identified: drugs involved, clinical consequences, seriousness, operational classification statement, recommended action, mechanism of interaction, contextual information/modifying factors, evidence about a suspected drug-drug interaction, frequency of exposure, and frequency of harm to exposed persons. Eight best practice recommendations suggest how PDDI knowledge artifact creators can best use the 10 information items when synthesizing drug interaction evidence into artifacts intended to aid clinicians. This model has been included in a proposed implementation guide developed by the HL7 Clinical Decision Support Workgroup and in PDDIs published in the CDS Connect repository. The complete description of the model can be found at https://w3id.org/hclscg/pddi.

scholarly journals Incidence and Factors Associated with Postoperative Delayed Hyponatremia after Transsphenoidal Pituitary Surgery: A Meta-Analysis and Systematic Review

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Cheng-Chi Lee ◽  
Yu-Chi Wang ◽  
Yu-Tse Liu ◽  
Yin-Cheng Huang ◽  
Peng-Wei Hsu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Associated Factors ◽  
Wide Spectrum ◽  
Meta Analysis ◽  
Hospital Readmissions ◽  
Pituitary Surgery ◽  
Factors Associated ◽  
Transsphenoidal Pituitary Surgery ◽  
Factor Evaluation ◽  
Retrospective Nature

Introduction. Postoperative delayed hyponatremia is a complication associated with transsphenoidal pituitary surgery. Due to a wide spectrum of symptoms, the reported incidence and predictors of postoperative delayed hyponatremia vary among studies, and this deserves to be reviewed systematically. Methods. PubMed, EMBASE, and CENTRAL databases were searched until September 1, 2020. Studies were included when (1) the event number of delayed hyponatremia after transsphenoidal pituitary surgery was reported, or (2) the associated factors of such complication were evaluated. Results. A total of 27 studies were included for meta-analysis. The pooled incidence of overall and symptomatic delayed hyponatremia was 10.5% (95% confidence interval (CI) = 7.4–14.7%) and 5.0% (95% CI = 3.6–6.9%), respectively. No overt variations of the pooled estimates were observed upon subgroups stratified by endoscopic and microscopic procedure, publication year, and patients’ age. In addition, 44.3% (95% CI = 29.6–60.2%) of unplanned hospital readmissions within 30 days were caused by delayed hyponatremia. Among the predictors evaluated, older age was the only significant factor associated with increased delayed hyponatremia (odds ratio = 1.16, 95% CI = 1.04–1.29, P  = 0.006). Conclusion. This meta-analysis and systematic review evaluated the incidence of postoperative delayed hyponatremia and found it as a major cause of unplanned readmissions after transsphenoidal pituitary surgery. Older patients are more prone to such complications and should be carefully followed. The retrospective nature and heterogeneity among the included studies and the small number of studies used for risk factor evaluation might weaken the corresponding results. Future prospective clinical studies are required to compensate for these limitations.

scholarly journals Routine health information utilization and associated factors among health care workers in Ethiopia: A systematic review and meta-analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254230
Author(s):  
Birye Dessalegn Mekonnen ◽  
Senafekesh Biruk Gebeyehu
Keyword(s):  
Systematic Review ◽  
Health Information ◽  
Associated Factors ◽  
Health Workers ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Scale Up ◽  
Supportive Supervision ◽  
Information Utilization

Background Utilization of routine health information plays a vital role for the effectiveness of routine and programed decisions. A proper utilization of routine health information helps to make decisions based on evidence. Considerable studies have been done on the utilization of routine health information among health workers in Ethiopia, but inconsistent findings were reported. Thus, this study was conducted to determine the pooled utilization of routine health information and to identify associated factors among health workers in Ethiopia. Methods Search of PubMed, HINARI, Global Health, Scopus, EMBASE, web of science, and Google Scholar was conducted to identify relevant studies from October 24, 2020 to November 18, 2020. The Newcastle-Ottawa scale tool was used to assess the quality of included studies. Two reviewers extracted the data independently using a standardized data extraction format and exported to STATA software version 11 for meta-analysis. Heterogeneity among studies was checked using Cochrane Q and I2 test statistics. The pooled estimate of utilization of routine health information was executed using a random effect model. Results After reviewing 22924 studies, 10 studies involving 4054 health workers were included for this review and meta-analysis. The pooled estimate of routine health information utilization among health workers in Ethiopia was 57.42% (95% CI: 41.48, 73.36). Supportive supervision (AOR = 2.25; 95% CI: 1.80, 2.82), regular feedback (AOR = 2.86; 95% CI: 1.60, 5.12), availability of standard guideline (AOR = 2.53; 95% CI: 1.80, 3.58), data management knowledge (AOR = 3.04; 95% CI: 1.75, 5.29) and training on health information (AOR = 3.45; 95% CI: 1.96, 6.07) were identified factors associated with utilization of routine health information. Conclusion This systematic review and meta-analysis found that more than two-fifth of health workers did not use their routine health information. This study suggests the need to conduct regular supportive supervision, provision of training and capacity building, mentoring on competence of routine health information tasks, and strengthening regular feedback at all health facilities. In addition, improving the accessibility and availability of standard set of indicators is important to scale-up information use.

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