Lithium and Erectile Dysfunction: An Overview

Lithium has been a mainstay of therapy for patients with bipolar disorders for several decades. However, it may exert a variety of adverse effects that can affect patients’ compliance. Sexual and erectile dysfunction has been reported in several studies by patients who take lithium as monotherapy or combined with other psychotherapeutic agents. The exact mechanisms underlying such side effects of lithium are not completely understood. It seems that both central and peripheral mechanisms are involved in the lithium-related sexual dysfunction. Here, we had an overview of the epidemiology of lithium-related sexual and erectile dysfunction in previous clinical studies as well as possible pathologic pathways that could be involved in this adverse effect of lithium based on the previous preclinical studies. Understanding such mechanisms could potentially open a new avenue for therapies that can overcome lithium-related sexual dysfunction and improve patients’ adherence to the medication intake.

Determinants of Accessibility of Hypertensive Drugs by Adult Patients Under Sustainable Development Goal Three in Nairobi City County, Kenya

Hypertension is noted to be the easiest non-communicable disease to diagnose treat and monitor if proper health systems are put in place to ensure hypertensive drugs are accessible to hypertensive patients who need them daily. It is estimated that prevalence rate of hypertension in Kenya range from 13 % to 50 % and only 1 in 5 of the diagnosed are on hypertensive medicines. Lack of medication intake leads to uncontrolled hypertension resulting to more serious health complications which result to premature deaths. Previous studies have provided little information on the determinants of hypertensive drugs accessibility to patients. An enquiry on the availability of hypertensive drugs in public hospitals is worthwhile because hypertension has become an important social problem. This study has investigated the determinants of accessibility of hypertensive drugs by adult patients who are supposed to have uninterrupted medication intake for a healthy living. The concept of essential drugs was adopted for this study. This concept of essential drugs contained essential medicines list (EML) and the eight elements of primary health care of 1978 with a goal to ensure equal access to medicines. Descriptive design has been adopted for the study. The targeted population of 6329 hypertensive patients in public health facilities within Nairobi County. Yamane formula was used to get the sample size, which will be a total of 394 patients. Systemic random sampling procedure was employed for the study. A questionnaire tool of data collection was used for data collection. The collected data was there after coded and analyzed using Statistical Package for Social Sciences (SPSS) both for descriptive statistics (frequencies and percentages) and inferential statistics (correlation analysis). Data is presented using pie charts tables and figures. The study revealed that accessibility of medication in Nairobi city county health facilities is contributed by lack of medication in the facilities.

Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot

In this work, the subtractive mountain clustering algorithm has been adapted to the problem of natural languages processing in view to construct a chatbot that answers questions posed by the user. The implemented algorithm version allosws for the association of a set of words into clusters. After finding the centre of every cluster — the most relevant word, all the others are aggregated according to a defined metric adapted to the language processing realm. All the relevant stored information (necessary to answer the questions) is processed, as well as the questions, by the algorithm. The correct processing of the text enables the chatbot to produce answers that relate to the posed queries. Since we have in view a chatbot to help elder people with medication, to validate the method, we use the package insert of a drug as the available information and formulate associated questions. Errors in medication intake among elderly people are very common. One of the main causes for this is their loss of ability to retain information. The high amount of medicine intake required by the advanced age is another limiting factor. Thence, the design of an interactive aid system, preferably using natural language, to help the older population with medication is in demand. A chatbot based on a subtractive cluster algorithm is the chosen solution.

Anti-CGRP monoclonal antibodies in chronic migraine with medication overuse: real-life effectiveness and predictors of response at 6 months

Background In daily practice, anti-CGRP monoclonal antibodies (MAbs) may be useful in chronic migraine (CM) with medication overuse (MO), but data is limited. We evaluated their effectiveness in a real-life clinical cohort. Methods This is a prospective study conducted in CM patients with and without medication overuse treated with monthly MAbs during 6 months (erenumab/galcanezumab). We collected headache characteristics, including acute medication intake, through an electronic diary. We compared patients (1) with and without MO at baseline, (2) with and without ongoing MO after treatment, defining MO resolution as < 10 or 15 days/month of acute medication intake, according to analgesic type, during the 6-month treatment. Results Of 139 CM patients completing 6-month treatment with anti-CGRP MAbs, 71.2% (99/139) had MO at baseline. After 6 months, patients with and without MO at baseline had significant and similar proportions of ≥50% reduction in migraine days/month (MO: 63.6% vs. non-MO: 57.5%, p = 0.500). 60.6% (60/99) no longer satisfied MO definition. Reduction in headache frequency compared to baseline occurred in both MO-ongoing and MO-resolution group, although those who stopped overusing had a greater improvement (headache days/month: − 13.4 ± 7.6 vs. -7.8 ± 7.2, p < 0.0001). No differences in MO resolution were observed according to the MAbs used. Baseline lower pain severity was associated with MO resolution (OR [95%]:0.236[0.054–0.975]; p = 0.049). Conclusions In real-life anti-CGRP MAbs are as effective in CM patients with MO as in patients without it and facilitate MO cessation. Reduction in headache frequency and acute medication days/month occurs regardless of whether patients stop overusing or not.

Subtractive Mountain Clustering Algorithm Applied to a Chatbot to Assist Elderly People in Medication Intake

Errors in medication intake among elderly people are very common. One of the main causes for this is their loss of ability to retain information. The high amount of medicine intake required by the advanced age is another limiting factor. Thence, the design of an interactive aid system, preferably using natural language, to help the older population with medication is in demand. A chatbot based on a subtractive cluster algorithm, included in unsupervised learned models, is the chosen solution since the processing of natural languages is a necessary step in view to construct a chatbot able to answer questions that older people may pose upon themselves concerning a particular drug. In this work, the subtractive mountain clustering algorithm has been adapted to the problem of natural languages processing. This algorithm version allows for the association of a set of words into clusters. After finding the centre of every cluster — the most relevant word, all the others are aggregated according to a defined metric adapted to the language processing realm. All the relevant stored information is processed, as well as the questions, by the algorithm. The correct processing of the text enables the chatbot to produce answers that relate to the posed queries. To validate the method, we use the package insert of a drug as the available information and formulate associated questions.

Prevalence and sociodemographic correlates of medication intake adherence among primary health-care users in Albania

Background: Evidence about the magnitude and determinants of medication intake adherence among patients and the general population in Southeastern Europe is scant. Aims: To assess the prevalence and sociodemographic correlates of medication intake adherence among adult primary health-care (PHC) users in Albania. Methods: A cross-sectional study was conducted in 2018–2019 in a representative sample of 1553 adult PHC users (response: 94%) selected probabilistically from 5 major regions of Albania. There were 849 (55%) women and 704 (45%) men, with a mean age 54.6 (16.4) years. A structured interviewer-administered questionnaire inquired about medication intake adherence prescribed by family physicians, and sociodemographic characteristics. Binary logistic regression was used to assess the sociodemographic correlates of medication intake adherence. Results: Three hundred (19.8%) participants did not take the prescribed medication. In multivariable-adjusted logistic model, significant correlates of nonintake of medication included rural residence, low educational level, unemployment and low economic level. Among these 300 participants, 273 (91%) considered the high cost of the drugs as a reason for not taking the medication. Conclusion: We found a high prevalence of nonintake of medication prescribed by family physicians. Decision-makers and policy-makers in Albania and elsewhere should consider the provision of essential drugs free of charge or at low cost to low socioeconomic groups and other vulnerable and marginalized population categories, because the costs of noncompliance will eventually be higher.

Implementation of a Real-Time Medication Intake Monitoring Technology Intervention in Community Pharmacy Settings: A Mixed-Method Pilot Study

Innovative dispensing products offering real-time medication intake monitoring are being developed to address medication non-adherence. However, implementation of these interventions within the workflow of a community pharmacy is unknown. The purpose of this study was to explore factors affecting implementation of a real-time adherence-monitoring, multidose-dispensing system in community pharmacies. A mixed-method study was conducted with pharmacy staff, who packaged and dispensed medications in smart multidose packages and monitored real-time medication intake via web-portal. Pharmacy staff participated in semi-structured interviews. The Technology Acceptance Model, Theory of Planned Behaviour and Capability, Opportunity, Motivation, Behaviour Model informed the interview guide. Interview transcripts were analyzed thematically and findings were mapped back to the frameworks. The usability was assessed by the System Usability Scale (SUS). Three pharmacists and one pharmacy assistant with a mean of 19 years of practice were interviewed. Three themes and 12 subthemes were generated. Themes included: pharmacy workflow factors, integration factors, and pharmacist-perceived patient factors. The mean SUS was found to be 80.63. Products with real-time adherence monitoring capabilities are valued by pharmacists. A careful assessment of infrastructure—including pharmacy workload, manpower and financial resources—is imperative for successful implementation of such interventions in a community pharmacy setting.

Medication Intake, Perceived Barriers, and Their Correlates Among Adults With Type 1 and Type 2 Diabetes: Results From Diabetes MILES – The Netherlands

PurposeThe purpose of this study is to investigate medication intake, perceived barriers and their correlates in adults with type 1 or type 2 diabetes.MethodsIn this cross-sectional study, 3,383 Dutch adults with diabetes (42% type 1; 58% type 2) completed the 12-item ‘Adherence Starts with Knowledge’ questionnaire (ASK-12; total score range: 12-60) and reported socio-demographics, clinical and psychological characteristics and health behaviors. Univariable and multivariable logistic regression analyses were used.ResultsAdults with type 1 diabetes had a slightly lower mean ASK-12 score (i.e. more optimal medication intake and fewer perceived barriers) than adults with non-insulin-treated type 2 diabetes. After adjustment for covariates, correlates with suboptimal intake and barriers were fewer severe hypoglycemic events and more depressive symptoms and diabetes-specific distress. In type 2 diabetes, correlates were longer diabetes duration, more depressive symptoms and diabetes-specific distress.ConclusionsAdults with type 1 diabetes showed slightly more optimal medication intake and fewer perceived barriers than adults with non-insulin treated type 2 diabetes. Correlates differed only slightly between diabetes types. The strong association with depressive symptoms and diabetes-specific distress in both diabetes types warrants attention, as improving these outcomes in some people with diabetes might indirectly improve medication intake.

Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity

Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility. While a clinical setting allows the estimation of gait speed under controlled conditions that present functional capacity, gait speed in real-life conditions provides the actual performance of the patient. The goal of this study was to investigate objectively under what conditions during daily activities, patients perform as well as or better than in the clinic. To this end, we recruited 27 Parkinson’s disease (PD) patients and measured their gait speed by inertial measurement units through several walking tests in the clinic as well as their daily activities at home. By fitting a bimodal Gaussian model to their gait speed distribution, we found that on average, patients had similar modes in the clinic and during daily activities. Furthermore, we observed that the number of medication doses taken throughout the day had a moderate correlation with the difference between clinic and home. Performing a cycle-by-cycle analysis on gait speed during the home assessment, overall only about 3% of the strides had equal or greater gait speeds than the patients’ capacity in the clinic. These strides were during long walking bouts (>1 min) and happened before noon, around 26 min after medication intake, reaching their maximum occurrence probability 3 h after Levodopa intake. These results open the possibility of better control of medication intake in PD by considering both functional capacity and continuous monitoring of gait speed during real-life conditions.