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1,962 result(s) for "Drug-Related Side Effects and Adverse Reactions - prevention "
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A 12-gene pharmacogenetic panel to prevent adverse drug reactions: an open-label, multicentre, controlled, cluster-randomised crossover implementation study
The benefit of pharmacogenetic testing before starting drug therapy has been well documented for several single gene–drug combinations. However, the clinical utility of a pre-emptive genotyping strategy using a pharmacogenetic panel has not been rigorously assessed. We conducted an open-label, multicentre, controlled, cluster-randomised, crossover implementation study of a 12-gene pharmacogenetic panel in 18 hospitals, nine community health centres, and 28 community pharmacies in seven European countries (Austria, Greece, Italy, the Netherlands, Slovenia, Spain, and the UK). Patients aged 18 years or older receiving a first prescription for a drug clinically recommended in the guidelines of the Dutch Pharmacogenetics Working Group (ie, the index drug) as part of routine care were eligible for inclusion. Exclusion criteria included previous genetic testing for a gene relevant to the index drug, a planned duration of treatment of less than 7 consecutive days, and severe renal or liver insufficiency. All patients gave written informed consent before taking part in the study. Participants were genotyped for 50 germline variants in 12 genes, and those with an actionable variant (ie, a drug–gene interaction test result for which the Dutch Pharmacogenetics Working Group [DPWG] recommended a change to standard-of-care drug treatment) were treated according to DPWG recommendations. Patients in the control group received standard treatment. To prepare clinicians for pre-emptive pharmacogenetic testing, local teams were educated during a site-initiation visit and online educational material was made available. The primary outcome was the occurrence of clinically relevant adverse drug reactions within the 12-week follow-up period. Analyses were irrespective of patient adherence to the DPWG guidelines. The primary analysis was done using a gatekeeping analysis, in which outcomes in people with an actionable drug–gene interaction in the study group versus the control group were compared, and only if the difference was statistically significant was an analysis done that included all of the patients in the study. Outcomes were compared between the study and control groups, both for patients with an actionable drug–gene interaction test result (ie, a result for which the DPWG recommended a change to standard-of-care drug treatment) and for all patients who received at least one dose of index drug. The safety analysis included all participants who received at least one dose of a study drug. This study is registered with ClinicalTrials.gov, NCT03093818 and is closed to new participants. Between March 7, 2017, and June 30, 2020, 41 696 patients were assessed for eligibility and 6944 (51·4 % female, 48·6% male; 97·7% self-reported European, Mediterranean, or Middle Eastern ethnicity) were enrolled and assigned to receive genotype-guided drug treatment (n=3342) or standard care (n=3602). 99 patients (52 [1·6%] of the study group and 47 [1·3%] of the control group) withdrew consent after group assignment. 652 participants (367 [11·0%] in the study group and 285 [7·9%] in the control group) were lost to follow-up. In patients with an actionable test result for the index drug (n=1558), a clinically relevant adverse drug reaction occurred in 152 (21·0%) of 725 patients in the study group and 231 (27·7%) of 833 patients in the control group (odds ratio [OR] 0·70 [95% CI 0·54–0·91]; p=0·0075), whereas for all patients, the incidence was 628 (21·5%) of 2923 patients in the study group and 934 (28·6%) of 3270 patients in the control group (OR 0·70 [95% CI 0·61–0·79]; p <0·0001). Genotype-guided treatment using a 12-gene pharmacogenetic panel significantly reduced the incidence of clinically relevant adverse drug reactions and was feasible across diverse European health-care system organisations and settings. Large-scale implementation could help to make drug therapy increasingly safe. European Union Horizon 2020.
Evaluation of geriatric assessment and management on the toxic effects of cancer treatment (GAP70+): a cluster-randomised study
Older adults with advanced cancer are at a high risk for treatment toxic effects. Geriatric assessment evaluates ageing-related domains and guides management. We examined whether a geriatric assessment intervention can reduce serious toxic effects in older patients with advanced cancer who are receiving high risk treatment (eg, chemotherapy). In this cluster-randomised trial, we enrolled patients aged 70 years and older with incurable solid tumours or lymphoma and at least one impaired geriatric assessment domain who were starting a new treatment regimen. 40 community oncology practice clusters across the USA were randomly assigned (1:1) to the intervention (oncologists received a tailored geriatric assessment summary and management recommendations) or usual care (no geriatric assessment summary or management recommendations were provided to oncologists) by means of a computer-generated randomisation table. The primary outcome was the proportion of patients who had any grade 3–5 toxic effect (based on National Cancer Institute Common Terminology Criteria for Adverse Events version 4) over 3 months. Practice staff prospectively captured toxic effects. Masked oncology clinicians reviewed medical records to verify. The study was registered with ClinicalTrials.gov, NCT02054741. Between July 29, 2014, and March 13, 2019, we enrolled 718 patients. Patients had a mean age of 77·2 years (SD 5·4) and 311 (43%) of 718 participants were female. The mean number of geriatric assessment domain impairments was 4·5 (SD 1·6) and was not significantly different between the study groups. More patients in intervention group compared with the usual care group were Black versus other races (40 [11%] of 349 patients vs 12 [3%] of 369 patients; p<0·0001) and had previous chemotherapy (104 [30%] of 349 patients vs 81 [22%] of 369 patients; p=0·016). A lower proportion of patients in the intervention group had grade 3–5 toxic effects (177 [51%] of 349 patients) compared with the usual care group (263 [71%] of 369 patients; relative risk [RR] 0·74 (95% CI 0·64–0·86; p=0·0001). Patients in the intervention group had fewer falls over 3 months (35 [12%] of 298 patients vs 68 [21%] of 329 patients; adjusted RR 0·58, 95% CI 0·40–0·84; p=0·0035) and had more medications discontinued (mean adjusted difference 0·14, 95% CI 0·03–0·25; p=0·015). A geriatric assessment intervention for older patients with advanced cancer reduced serious toxic effects from cancer treatment. Geriatric assessment with management should be integrated into the clinical care of older patients with advanced cancer and ageing-related conditions. National Cancer Institute
Clinical impact of pharmacogenetic profiling with a clinical decision support tool in polypharmacy home health patients: A prospective pilot randomized controlled trial
In polypharmacy patients under home health management, pharmacogenetic testing coupled with guidance from a clinical decision support tool (CDST) on reducing drug, gene, and cumulative interaction risk may provide valuable insights in prescription drug treatment, reducing re-hospitalization and emergency department (ED) visits. We assessed the clinical impact of pharmacogenetic profiling integrating binary and cumulative drug and gene interaction warnings on home health polypharmacy patients. This prospective, open-label, randomized controlled trial was conducted at one hospital-based home health agency between February 2015 and February 2016. Recruitment came from patient referrals to home health at hospital discharge. Eligible patients were aged 50 years and older and taking or initiating treatment with medications with potential or significant drug-gene-based interactions. Subjects (n = 110) were randomized to pharmacogenetic profiling (n = 57). The study pharmacist reviewed drug-drug, drug-gene, and cumulative drug and/or gene interactions using the YouScript® CDST to provide drug therapy recommendations to clinicians. The control group (n = 53) received treatment as usual including pharmacist guided medication management using a standard drug information resource. The primary outcome measure was the number of re-hospitalizations and ED visits at 30 and 60 days after discharge from the hospital. The mean number of re-hospitalizations per patient in the tested vs. untested group was 0.25 vs. 0.38 at 30 days (relative risk (RR), 0.65; 95% confidence interval (CI), 0.32-1.28; P = 0.21) and 0.33 vs. 0.70 at 60 days following enrollment (RR, 0.48; 95% CI, 0.27-0.82; P = 0.007). The mean number of ED visits per patient in the tested vs. untested group was 0.25 vs. 0.40 at 30 days (RR, 0.62; 95% CI, 0.31-1.21; P = 0.16) and 0.39 vs. 0.66 at 60 days (RR, 0.58; 95% CI, 0.34-0.99; P = 0.045). Differences in composite outcomes at 60 days (exploratory endpoints) were also found. Of the total 124 drug therapy recommendations passed on to clinicians, 96 (77%) were followed. These findings should be verified with additional prospective confirmatory studies involving real-world applications in larger populations to broaden acceptance in routine clinical practice. Pharmacogenetic testing of polypharmacy patients aged 50 and older, supported by an appropriate CDST, considerably reduced re-hospitalizations and ED visits at 60 days following enrollment resulting in potential health resource utilization savings and improved healthcare. ClinicalTrials.gov NCT02378220.
Prevention of serious events in adults 65 years of age or older: A comparison between high-dose and standard-dose inactivated influenza vaccines
•Randomized trial of high-dose vs. standard-dose influenza vaccines in older adults.•High-dose vaccine decreased the risk of serious cardio-respiratory events.•The relative effectiveness against serious pneumonia was 39.8%. A recent study showed that a high-dose inactivated influenza vaccine (IIV-HD) was 24.2% more efficacious than a standard-dose inactivated influenza vaccine (IIV-SD) in preventing laboratory-confirmed symptomatic influenza in adults ≥65 years. Here we evaluate the effectiveness of IIV-HD compared to IIV-SD in preventing serious illnesses considered potential sequelae or complications of influenza infection. The original study was a double-blind, randomized, active-controlled, multicenter trial. Participants were adults ≥65 years randomized to receive IIV-HD or IIV-SD, and followed for 6–8 months post-vaccination for the occurrence of influenza and serious adverse events (SAEs). SAEs were events: leading to death or hospitalization (or its prolongation); considered life-threatening or medically important; or resulting in disability. For the present analysis, reported SAEs were classified as possibly related to influenza by three blinded physicians and rates per 1000 participant-seasons were calculated. Relative vaccine effectiveness (rVE) was estimated as (1−Rate Ratio)×100. 31,989 participants were enrolled, with 15,991 and 15,998 randomized to receive IIV-HD and IIV-SD, respectively. IIV-HD was significantly more effective than IIV-SD in preventing SAEs possibly related to influenza overall (rVE, 17.7%; 95% confidence interval [CI], 6.6–27.4%) and serious pneumonia (rVE, 39.8%; 95% CI, 19.3–55.1%). Borderline significance was observed for the efficacy of IIV-HD relative to IIV-SD for the prevention of all-cause hospitalizations (rVE, 6.9%; 95% CI, 0.5–12.8%). Compared to IIV-SD, IIV-HD reduced the risk of SAEs possibly related to influenza. The observed relative effectiveness against serious pneumonia is particularly noteworthy considering the burden of influenza and pneumonia in older adults.
Impact of medication reconciliation and review and counselling, on adverse drug events and healthcare resource use
Background Adverse drug events from preventable medication errors can result in patient morbidity and mortality, and in cost to the healthcare system. Medication reconciliation can improve communication and reduce medication errors at transitions in care. Objective Evaluate the impact of medication reconciliation and counselling intervention delivered by a pharmacist for medical patients on clinical outcomes 30 days after discharge. Setting Sultan Qaboos University Hospital, Muscat, Oman. Methods A randomized controlled study comparing standard care with an intervention delivered by a pharmacist and comprising medication reconciliation on admission and discharge, a medication review, a bedside medication counselling, and a take-home medication list. Medication discrepancies during hospitalization were identified and reconciled. Clinical outcomes were evaluated by reviewing electronic health records and telephone interviews. Main outcome measures Rates of preventable adverse drug events as primary outcome and healthcare resource utilization as secondary outcome at 30 days post discharge. Results A total of 587 patients were recruited (56 ± 17 years, 57% female); 286 randomized to intervention; 301 in the standard care group. In intervention arm, 74 (26%) patients had at least one discrepancy on admission and 100 (35%) on discharge. Rates of preventable adverse drug events were significantly lower in intervention arm compared to standard care arm (9.1 vs. 16%, p = 0.009). No significant difference was found in healthcare resource use. Conclusion The implementation of an intervention comprising medication reconciliation and counselling by a pharmacist has significantly reduced the rate of preventable ADEs 30 days post discharge, compared to the standard care. The effect of the intervention on healthcare resource use was insignificant. Pharmacists should be included in decentralized, patient-centred roles. The findings should be interpreted in the context of the study’s limitations.
Randomized controlled trial parallel-group on optimizing community pharmacist’s care for the elderly: The influence of WhatsApp-Email delivered clinical case scenarios
Drug-related problems (DRPs) significantly threaten the safety of the elderly. In order to improve pharmacists' ability to minimize these events, novel educational interventions that consider the current challenges in clinical practice are crucial. The primary objective is to assess the impact of two unique educational interventions on pharmacists' ability to identify DRPs. A total of 127 community pharmacies in the United Arab Emirates (UAE) were recruited and randomly allocated to one of three arms using a 1:1:1 allocation ratio. While a series of clinical case scenarios (N = 24) related to elderly care were established and validated and sent to pharmacists in Active Group A over a 3-month period, lengthy research articles focused on medication safety in elderly were emailed to pharmacists in Active Group B. The control group pharmacist received no intervention. Then, pharmacists self-reported the number, categories, and severity of DRPs and pharmacist recommendations. The incidence of DRPs identified by pharmacists was 10.8% in Active Group A, 2.0% in the Control Group (p = 0.011), and 3.8% in Active Group B (p = 0.014). A significant difference was observed in the proportion of DRP types between Active Group A and the Control Group. The most common DRPs in Active Group A were avoidable medication (14.7%) and untreated disease (9.2%). Pharmacists in Active Group A (37.2%) and Active Group B (32.3%) most commonly intervened by recommending the cessation of medication, while the most common intervention in the Control Group was recommending a decrease in dose (29.8%). The mean cost reduction per patient was highest in Active Group A (31.3 ±11.8 $), followed by Active Group B (20.8 ±8.6 $) and the Control Group (19.6 ±9.5 $). The mean time needed to resolve a DRP was shortest in Active Group A (7.3 ±3.5 minutes), followed by Active Group B (9.8 ±4.2 minutes) and the Control Group (9.8 ±5.7 minutes). Using WhatsApp to deliver clinical scenarios was effective in improving pharmacists' ability to identify and address DRPs in elderly patients, resulting in faster resolution and higher cost savings.
Impact of pharmacist-led intervention for reducing drug-related problems and improving quality of life among chronic kidney disease patients: A randomized controlled trial
Chronic kidney disease (CKD) patients suffer from different comorbid conditions and are prone toward drug-related problems (DRPs) which affect their clinical parameters as well as quality of life (QoL). This study was aimed to evaluate the impact of clinical pharmacist-led interventions on the mean number of DRPs and the mean QoL score difference per patient DRPs in CKD patients. An open-labeled, randomized control trial performed from April 2023 to July 2023 in the nephrology unit of a tertiary care setting in Peshawar Pakistan. Those patients who met the inclusion criteria were randomized into two groups 1:1, i.e., control and intervention group. Clinical pharmacists identified the DRPs at baseline using Pharmaceutical Care Network Europe (PCNE) 9.1 guidelines. The QoL of patients were assessed at baseline and endpoint by using the Functional Assessment of Non-Life-Threatening Conditions (FANLTC) questionnaire. A total of 100 patients were recruited having 50 in each group. The pharmacist identified a total of n = 230 DRPs in the intervention group, majority of the DRPs were attributed to inappropriate drug selection according to guidelines/formulary\"; \"inappropriate combinations of drugs or with herbal medications or dietary supplements\"; and situations where \"too many different drugs or active ingredients were prescribed\". There was 46.52% reduction in the DRPs while comparing baseline and endpoint interventions suggested by pharmacist in the intervention group. The clinical pharmacist provided interventions in order to resolve the DRPs, and 37.40% interventions were accepted and fully implemented; 31.30% of the interventions were accepted and partially implemented. The clinical pharmacist identification and proposed intervention for DRPs contributed to a statistically significant improvement in QoL, from mean ±  SD scored 58.64 ±  9.10 at the baseline to 74.48 ± 10.11 at the endpoint, with a p-value of < 0.001. A significant improvement in the QoL and laboratory parameters for patients with CKD following clinical pharmacist-led interventions having proposed interventions were implemented successfully from baseline to endpoint; however, a considerable number of proposed interventions were not accepted and implemented.
Pharmacists’ interventions improve health-related quality of life of rural older person on warfarin: a randomized controlled trial
Warfarin therapy can significantly affect patients’ quality of life and cause therapy discontinuation. This study aimed to investigate the effect of the pharmacists’ interventions on the health-related quality of life (HRQoL) in older rural patients on warfarin therapy. Eligible older patients from rural area of Croatian province Slavonia were randomized into the intervention and control groups and followed for six months. Repeated education and a follow-up plan were provided to the participants in the intervention group, and if needed, the pharmacist intervened to optimize warfarin therapy. Secondary analysis on HRQoL data are presented here. Main outcome measure was Duke anticoagulation satisfactions scale questionnaire score. In total, 131 participants finished the study (median age 73 years; 51.1% male). Participants in the intervention group scored significantly lower (median being 86.5 and 66.0 in the control and intervention groups, respectively; p < 0,001), indicating higher HRQoL. Adverse drug reactions and pharmacist’s intervention were identified as predictive factors for patients’ HRQoL (r 2  = 65.5%, P < 0.001). The study demonstrated that community pharmacist’s interventions can improve HRQoL of older patients taking warfarin what is of particular significance for patients living in rural areas with less accessible healthcare and lower socio-economic status. Clinicaltrials.gov (ID: NCT03212898), 11/07/2017, retrospectively registered.
The effect of emergency department pharmacists on drug overuse and drug underuse in patients with an ADE-related hospitalisation: a controlled intervention study
Background Drug overuse or drug underuse are the most common causes of adverse drug events and can lead to hospital admissions. Using clinical pharmacists in the emergency department may improve patient safety as they are specialised in recognising of adverse drug events and tackling drug overuse and drug underuse. This study tested the effect of an emergency department pharmacist on the number of medication changes for drug overuse and drug underuse taking place in patients with an adverse drug event-related hospitalisation following an emergency department visit. Methods A multicenter prospective non-randomized controlled intervention study was conducted in a university hospital and a general teaching hospital. Trained emergency department pharmacists included patients in the intervention group with a hospital admission related to an adverse drug event. The interdisciplinary intervention consisted of a pharmacist-led medication review, patient counselling regarding medication, and information transmission to general practitioners and community pharmacies after discharge. The control patients were also admitted after an emergency department visit and received the usual care. The primary outcome was the number of medication changes for drug overuse and drug underuse that took place during hospital admission and persisted 6 months thereafter. Poisson regression analysis was used to estimate the difference in these medication changes between the intervention group and the control group. Results A total of 216 patients were included (intervention group 104, control group 112). In the intervention group, 156 medication changes for drug overuse and drug underuse persisted 6 months after admission compared to 59 in the control group (adjusted rate ratio 1.22 [95%CI 1.01-1.49] p  = 0.039). Conclusion Emergency department pharmacists do contribute to reduction of drug overuse and drug underuse of medication in patients with a hospitalisation related to adverse drug events after an emergency department visit.
Evaluating the Safety of an Educational Deprescribing Intervention: Lessons from the Optimize Trial
Background Patients, family members, and clinicians express concerns about potential adverse drug withdrawal events (ADWEs) following medication discontinuation or fears of upsetting a stable medical equilibrium as key barriers to deprescribing. Currently, there are limited methods to pragmatically assess the safety of deprescribing and ascertain ADWEs. We report the methods and results of safety monitoring for the OPTIMIZE trial of deprescribing education for patients, family members, and clinicians. Methods This was a pragmatic cluster randomized trial with multivariable Poisson regression comparing outcome rates between study arms. We conducted clinical record review and adjudication of sampled records to assess potential causal relationships between medication discontinuation and outcomes. This study included adults aged 65+ with dementia or mild cognitive impairment, one or more additional chronic conditions, and prescribed 5+ chronic medications. The intervention included an educational brochure on deprescribing that was mailed to patients prior to primary care visits, a clinician notification about individual brochure mailings, and an educational tip sheets was provided monthly to primary care clinicians. The outcomes of the safety monitoring were rates of hospitalizations and mortality during the 4 months following brochure mailings and results of record review and adjudication. The adjudication process was conducted throughout the trial and included classifications: likely, possibly, and unlikely. Results There was a total of 3012 (1433 intervention and 1579 control) participants. There were 420 total hospitalizations involving 269 (18.8%) people in the intervention versus 517 total hospitalizations involving 317 (20.1%) people in the control groups. Adjusted risk ratios comparing intervention to control groups were 0.92 [95% confidence interval (CI) 0.72, 1.16] for hospitalization and 1.19 (95% CI 0.67, 2.11) for mortality. Both groups had zero deaths “likely” attributed to a medication change prior to the event. A total of 3 out of 30 (10%) intervention group hospitalizations and 7 out of 35 (20%) control group hospitalizations were considered “likely” due to a medication change. Conclusions Population-based deprescribing education is safe in the older adult population with cognitive impairment in our study. Pragmatic methods for safety monitoring are needed to further inform deprescribing interventions. Trial Registration NCT03984396. Registered on 13 June 2019