scholarly journals Refill adherence and self-reported adverse drug reactions and sub-therapeutic effects: a population-based study

2013 ◽  
Vol 22 (12) ◽  
pp. 1317-1325 ◽  
Author(s):  
Khedidja Hedna ◽  
Staffan Hägg ◽  
Karolina Andersson Sundell ◽  
Max Petzold ◽  
Katja M. Hakkarainen
Keyword(s):  
Adverse Drug Reactions ◽  
Population Based ◽  
Therapeutic Effects ◽  
Drug Reactions ◽  
Population Based Study ◽  
Refill Adherence

scholarly journals Urgent Hospital Admissions Caused by Adverse Drug Reactions and Medication Errors—A Population-Based Study in Spain

2020 ◽  
Vol 11 ◽  
Author(s):  
Gina Mejía ◽  
Miriam Saiz-Rodríguez ◽  
Beatriz Gómez de Olea ◽  
Dolores Ochoa ◽  
Francisco Abad-Santos
Keyword(s):  
Medication Errors ◽  
Adverse Drug Reactions ◽  
Hospital Admissions ◽  
Population Based ◽  
Drug Reactions ◽  
Population Based Study

scholarly journals Potentially inappropriate prescribing and adverse drug reactions in the elderly: a population-based study

2015 ◽  
Vol 71 (12) ◽  
pp. 1525-1533 ◽  
Author(s):  
Khedidja Hedna ◽  
Katja M. Hakkarainen ◽  
Hanna Gyllensten ◽  
Anna K. Jönsson ◽  
Max Petzold ◽  
...  
Keyword(s):  
Adverse Drug Reactions ◽  
Inappropriate Prescribing ◽  
The Elderly ◽  
Population Based ◽  
Potentially Inappropriate Prescribing ◽  
Drug Reactions ◽  
Population Based Study

scholarly journals Incidence of fatal adverse drug reactions: a population based study

2008 ◽  
Vol 65 (4) ◽  
pp. 573-579 ◽  
Author(s):  
Karin Wester ◽  
Anna K. Jönsson ◽  
Olav Spigset ◽  
Henrik Druid ◽  
Staffan Hägg
Keyword(s):  
Adverse Drug Reactions ◽  
Population Based ◽  
Drug Reactions ◽  
Population Based Study

scholarly journals Methodological framework to identify possible adverse drug reactions using population-based administrative data

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 258
Author(s):  
Brian C. Sauer ◽  
Jonathan Nebeker ◽  
Shuying Shen ◽  
Randall Rupper ◽  
Suzanne West ◽  
...  
Keyword(s):  
Administrative Data ◽  
Adverse Drug Reactions ◽  
Conditional Logistic Regression ◽  
Acetylcholinesterase Inhibitors ◽  
Population Based ◽  
Crossover Design ◽  
Transient Effects ◽  
Drug Reactions ◽  
Medication Therapy ◽  
Respiratory Disturbance

Purpose: We present a framework for detecting possible adverse drug reactions (ADRs) using the Utah Medicaid administrative data. We examined four classes of ADRs associated with treatment of dementia by acetylcholinesterase inhibitors (AChEIs): known reactions (gastrointestinal, psychological disturbances), potential reactions (respiratory disturbance), novel reactions (hepatic, hematological disturbances), and death.Methods: Our cohort design linked drug utilization data to medical claims from Utah Medicaid recipients. We restricted the analysis to 50 years-old and older beneficiaries diagnosed with dementia-related diseases. We compared patients treated with AChEI to patients untreated with anti-dementia medication therapy. We attempted to remove confounding by establishing propensity-score-matched cohorts for each outcome investigated; we then evaluated the effects of drug treatment by conditional multivariable Cox-proportional-hazard regression. Acute and transient effects were evaluated by a crossover design using conditional logistic regression.Results: Propensity-matched analysis of expected reactions revealed that AChEI treatment was associated with gastrointestinal episodes (Hazard Ratio [HR]: 2.02; 95%CI: 1.28-3.2), but not psychological episodes, respiratory disturbance, or death. Among the unexpected reactions, the risk of hematological episodes was higher (HR: 2.32; 95%CI: 1.47-3.6) in patients exposed to AChEI. AChEI exposure was not associated with an increase in hepatic episodes. We also noted a trend, identified in the case-crossover design, toward increase odds of experiencing acute hematological events during AChEI exposure (Odds Ratio: 3.0; 95% CI: 0.97 - 9.3).Conclusions: We observed an expected association between AChEIs treatment and gastrointestinal disturbances and detected a signal of possible hematological ADR after treatment with AChEIs in this pilot study. Using this analytic framework may raise awareness of potential ADEs and generate hypotheses for future investigations. Early findings, or signal detection, are considered hypothesis generating since confirmatory studies must be designed to determine if the signal represents a true drug safety problem.

scholarly journals Refill Adherence in Relation to Substitution and the Use of Multiple Medications: A Nationwide Population Based Study on New ACE-Inhibitor Users

PLoS ONE ◽  
2016 ◽  
Vol 11 (5) ◽  
pp. e0155465
Author(s):  
Pernilla J. Bjerkeli ◽  
Anna K. Jönsson ◽  
Eva Lesén ◽  
Ann-Charlotte Mårdby ◽  
Karolina Andersson Sundell
Keyword(s):  
Ace Inhibitor ◽  
Population Based ◽  
Population Based Study ◽  
Refill Adherence

Adverse Drug Reactions in Elderly Hospitalized Patients: A 12-Year Population-Based Retrospective Cohort Study

2012 ◽  
Vol 46 (7-8) ◽  
pp. 960-971 ◽  
Author(s):  
Khokan C Sikdar ◽  
Jeffrey Dowden ◽  
Reza Alaghehbandan ◽  
Don MacDonald ◽  
Peizhong Peter Wang ◽  
...  
Keyword(s):  
Cohort Study ◽  
Adverse Drug Reactions ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Population Based ◽  
Hospitalized Patients ◽  
Drug Reactions ◽  
Elderly Hospitalized Patients
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