scholarly journals The Impact of Pharmaceutical Side Effects on Audiological and Vestibular Measurements

2019 ◽  
Vol 40 (02) ◽  
pp. 097-103
Author(s):  
Robert DiSogra

AbstractThere are over 2,000 drugs with a combined total of over 400 side effects that could result in obtaining inaccurate case history information or inaccurate test results that may lead to misdiagnosing the patient's hearing or vestibular problem. The recommendations that are made could be inappropriate and thus can lead to management errors. A review of the auditory, vestibular, and cognitive side effects of many of the drugs patients take regularly (including drugs that can cause tinnitus) is provided. This article offers suggestions to obtain a more accurate case history. A review of preferred Web sites to obtain drug side effect information is included. Suggestions for improved communication strategies between the audiologist, the physician, the patient, and the pharmacist are highlighted.

2010 ◽  
Vol 19 (4) ◽  
pp. 98-102 ◽  
Author(s):  
Louise Gallagher

Dysphagia clinicians are aware that best practices guidelines recommend a medications review as part of the assessment process. This article aims to review the literature to date regarding the impact that medications may have on the physiology of swallowing. It is important to consider the side effects of all medications, not only medications listing swallowing difficulties as a known side effect. Medications that impact upon arousal, awareness, and xerostomia should also be considered as part of a comprehensive dysphagia evaluation. Speech-language pathologists should consider the pharmacist an integral dysphagia team member and a valuable resource.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e24080-e24080
Author(s):  
Eva Battaglini ◽  
David Goldstein ◽  
Susanna Park

e24080 Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a major yet poorly understood side effect of cancer treatment, leading to symptoms including numbness, tingling and pain. It can lead to cessation of effective treatment, long-term functional disability and reduced quality of life. Despite this, there is currently little understanding of its impact. Methods: The aim of the study was to investigate the impact of neurotoxic chemotherapy side effects on the lives of cancer survivors. Data was collected via an online survey covering demographics, cancer diagnosis and treatment, CIPN and other side effects of chemotherapy, using standardised measures to assess comorbidities, quality of life, physical activity, pain and CIPN symptoms. Results: Data was analysed from 986 respondents who were treated with neurotoxic therapies (83% female, 16% male), with mean age 59 years ( SD 10.7 years). A majority of respondents were treated for breast cancer (59%), 14% for colorectal cancer and 11% for multiple myeloma. Chemotherapy types received included paclitaxel (32%), docetaxel (32%) and oxaliplatin (13%), and respondents completed treatment a mean of 3.6 years ago. The majority of respondents (80%) reported experiencing neuropathic symptoms after finishing chemotherapy, with 77% reporting current CIPN. Those with CIPN reported functional impacts, with 23% reporting moderate to severe problems with hand function and 28% reporting moderate to severe walking difficulties. CIPN was second most commonly rated as the treatment side effect having the greatest impact, following fatigue. Respondents with high levels of current CIPN symptoms had poorer quality of life, more comorbid health conditions, higher BMI and more often received multiple neurotoxic chemotherapies than those with low levels of CIPN symptoms. In addition, respondents who reported meeting government physical activity guidelines had lower CIPN and higher quality of life scores than those who did not meet the guidelines. Regression analyses investigating the association between quality of life and clinical and sociodemographic characteristics resulted in a model with comorbid health conditions, CIPN symptoms, years since treatment, age and physical activity as significant predictors of quality of life. Conclusions: These findings suggest that CIPN has a lasting impact on cancer survivors, leading to decreases in quality of life, often occurring alongside poorer general health. This impact supports the need for further research to improve assessment, prevention and treatment.


Author(s):  
Lukas P. Staub ◽  
Suzanne Dyer ◽  
Sarah J. Lord ◽  
R. John Simes

Objectives: The aim of this study is to review how health technology assessments (HTA) of medical tests incorporate intermediate outcomes in conclusions about the effectiveness of tests on improving health outcomes.Methods: Systematic review of English-language test assessments in the HTA database from January 2005 to February 2010, supplemented by a search of the Web sites of International Network of Agencies for Health Technology Assessment (INAHTA) members.Results: A total of 149 HTAs from eight countries were assessed. Half evaluated tests for screening or diagnosis, a third for disease classification (including staging, prognosis, monitoring), and a fifth for multiple purposes. In seventy-one HTAs (48 percent) only diagnostic accuracy was reported, while in seventeen (11 percent) evidence of health outcomes was reported in addition to accuracy. Intermediate outcomes, mainly the impact of test results on patient management, were considered in sixty-one HTAs (41 percent). Of these, forty-seven identified randomized trials or observational studies reporting intermediate outcomes. The validity of these intermediate outcomes as a surrogate for health outcomes was not consistently discussed; nor was the quality appraisal of this evidence. Clear conclusions about whether the test was effective were included in approximately 60 percent of HTAs.Conclusions: Intermediate outcomes are frequently assessed in medical test HTAs, but interpretation of this evidence is inconsistently reported. We recommend that reviewers explain the rationale for using intermediate outcomes, identify the assumptions required to link intermediate outcomes and patient benefits and harms, and assess the quality of included studies.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Ciara Ní Dhubhlaing ◽  
Ailish Young ◽  
Laura J. Sahm

Clozapine is the only antipsychotic with evidence for efficacy in treatment of resistant schizophrenia but it carries a high side effect burden. Patient information is provided but may be poorly retained. This study aims to examine the impact of pharmacist counselling upon patient knowledge of clozapine. Outpatients, aged 18 years and over, attending St. Patrick’s University Hospital, Dublin, participated in this study between June and August 2015. The intervention consisted of pharmacist counselling on two occasions one month apart. Knowledge was assessed using a 28-point checklist devised from the currently available clozapine patient information sources, at baseline and after each counselling session. Ethics approval was obtained. Twenty-five participants (40% female; mean age 45.1 years, SD 9.82; 64% unemployed, 28% smokers) showed an improvement in knowledge scores of clozapine from baseline to postcounselling on each occasion with an overall improvement in knowledge score, from baseline to postcounselling at one month, of 39.43%; p<0.001. This study adds to the evidence that interventions involving pharmacist counselling can improve patient knowledge, whilst the specific knowledge gained relating to recognition of side effects may help patients towards more empowerment regarding their treatment.


2018 ◽  
Vol 9 (2) ◽  
pp. 22-35
Author(s):  
Hide-Fumi Yokoo ◽  
Maki Ikuse ◽  
Aries Roda D. Romallosa ◽  
Masahide Horita

Environmental policies may have a negative side effect on employment, often in a specific industry in the short run. Workers in regulated industries can be affected by losses in job-specific human capital. The informal sectors in developing countries are often associated with environmental pollution and thus targeted by such policies. Welfare loss due to this side effect can be problematic in developing countries, since they often lack safeguarding schemes, including unemployment insurance. Inducing workers in informal sectors to change their jobs can mitigate these negative side effects. This study examines efficient methods of inducing informal workers to change jobs. An alternative job is offered to informal workers at a dumpsite in the Philippines and whether changing the scheme of wage payment increases the acceptance of the offer is examined. The impacts of changing payment schemes are evaluated by using a randomized field experiment. The sampled 112 waste pickers each randomly receive one of four offers for an alternative job, and the number of those who accept the offer is observed to evaluate the impact of less frequent payment (i.e., once every three days instead of daily). Piece rates and fixed wages are also compared. Those offered less frequent payment are more likely to accept the job offer compared with those offered daily payment. This preferred payment scheme can mitigate the side effects of environmental policy and workers’ self-control problem related to savings, while minimizing moral hazard.


2019 ◽  
Vol 8 (2) ◽  
pp. 79 ◽  
Author(s):  
Gede Arya Bagus Arisudhana ◽  
Muchlis Achsan Udji Sofro ◽  
Untung Sujianto

Background: Antiretroviral (ARV) therapy is a lifelong treatment in people living with HIV/AIDS (PLWHA). Adherence is the key to the effectiveness of antiretroviral therapy. ARV have side effects that may affect patient adherence.Purpose: The purpose of this study was to examine the impact of ARV side effects on drug adherence in PLWHA.Methods: This study used cross-sectional approach. Sample size in this study was 78 consist of people who were recruited by purposive sampling. These subjects received ARV therapy in Tropical Disease and Infection Polyclinic at General Hospital of Dr. Kariadi SemarangResult : Result showed that eta2 is 0,525625. It means that ARV side effect has impact on ARV adherence. Most of the side effects reported by the respondents were nausea and dizziness. Some respondents also reported experiencing weakness, difficult to concentrate, and diarrhea. Conclusion : Side effects have impact on patient’s ARV therapy adherence. Therefore health care provider for PLWHA should be able to recognize and concern on ARV side effect management. 


1978 ◽  
Vol 47 (3_suppl) ◽  
pp. 1275-1280 ◽  
Author(s):  
Andreas Blaser

Judgmental tasks in person perception are related to the degree of confidence of the performing clinician. 10 judges were exposed to increments of video and/or case history information about 10 patients and were asked to rate the patients' characteristics after each phase as well as to indicate how confident they felt about their ratings. The results suggest that the level of confidence varies according to the information available (as found in other research), the item judged, and the personality of the judge. The impact of the mode of information did not become sufficiently clear.


2021 ◽  
Vol 36 (1) ◽  
pp. 281-289
Author(s):  
D. Mohanapriya ◽  
Dr.R. Beena

In the area of biology, text mining is commonly used since it obtains the unknown relationship among medicines, phenotypes and syndromes from much information. Enhanced Topic modeling with Improved Predict drug Indications and Side effects using Topic modelling and Natural language processing (ETP-IPISTON) has been employed to predict the drug-phenotype and drug-side effect association. Initially, corpus documents are collected from the literature data and the topics in the data are modeled using logistic Linear Discriminative Analysis (LDA) and Bi-directional Long-Short Term Memory-Conditional Random Field (BILSTM-CRF). From the sentences in the literature data, a dependency graph was constructed which discovered the relations between gene and drug. The product of the drug on phenotype rule was identified by the Gene Regulation Score (GRS) which creates the drug-topic probability matrix. The probability matrix and a syntactic distance measure was processed in Classification and Regression Tree (CART), Naïve Bayes (NB), logistic regression and Convolutional Neural Network (CNN) classifiers for estimating the drug-gene and drug-side effects. Besides the literature data, social media offers various promising resources with massive volume of data that can be useful in the drug-phenotype and drug-side effect association prediction. So in this paper, drug information with gene, disease and side effects are extracted from different social media such as Twitter, Facebook and LinkedIn and it can be used with the literature data to provide more relevant disease and drug relations. In addition to this, topic modeling with transfer learning is introduced to consider the element categories, probability of overlapping elements and deep contextual significance of a text for better modeling of topics. The topic modeling with transfer learning shares as much knowledge as possible between the literature data and social media information for topic modeling. The topics from social media and literature data are used for creating the drug-topic matrix. The probability matrix and syntactic distance measure are given as input to CART, NB, logistic regression and CNN for estimating the drug-gene and drug-side effect association. This proposed work is named as Enhanced Topic Modeling with Transfer Leaning- IPISTON (ETPTL-IPISTON). The simulation findings exhibit that the efficiency of ETPTL-IPISTON than the traditional methods.


2019 ◽  
Author(s):  
Farris Timimi ◽  
Sara Ray ◽  
Erik Jones ◽  
Lee Aase ◽  
Kathleen Hoffman

BACKGROUND In drug development clinical trials, there is a need for balance between restricting variables by setting eligibility criteria and representing the broader patient population that may use a product once it is approved. Similarly, although recent policy initiatives focusing on the inclusion of historically underrepresented groups are being implemented, barriers still remain. These limitations of clinical trials may mask potential product benefits and side effects. To bridge these gaps, online communication in health communities may serve as an additional population signal for drug side effects. OBJECTIVE The aim of this study was to employ a nontraditional dataset to identify drug side-effect signals. The study was designed to apply both natural language processing (NLP) technology and hands-on linguistic analysis to a set of online posts from known statin users to (1) identify any underlying crossover between the use of statins and impairment of memory or cognition and (2) obtain patient lexicon in their descriptions of experiences with statin medications and memory changes. METHODS Researchers utilized user-generated content on Inspire, looking at over 11 million posts across Inspire. Posts were written by patients and caregivers belonging to a variety of communities on Inspire. After identifying these posts, researchers used NLP and hands-on linguistic analysis to draw and expand upon correlations among statin use, memory, and cognition. RESULTS NLP analysis of posts identified statistical correlations between statin users and the discussion of memory impairment, which were not observed in control groups. NLP found that, out of all members on Inspire, 3.1% had posted about memory or cognition. In a control group of those who had posted about TNF inhibitors, 6.2% had also posted about memory and cognition. In comparison, of all those who had posted about a statin medication, 22.6% (<italic>P</italic>&lt;.001) also posted about memory and cognition. Furthermore, linguistic analysis of a sample of posts provided themes and context to these statistical findings. By looking at posts from statin users about memory, four key themes were found and described in detail in the data: memory loss, aphasia, cognitive impairment, and emotional change. CONCLUSIONS Correlations from this study point to a need for further research on the impact of statins on memory and cognition. Furthermore, when using nontraditional datasets, such as online communities, NLP and linguistic methodologies broaden the population for identifying side-effect signals. For side effects such as those on memory and cognition, where self-reporting may be unreliable, these methods can provide another avenue to inform patients, providers, and the Food and Drug Administration.


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