Patterns Of Compliance Research Articles

Evaluation of a new classification system for measuring the progression of ocular cystinosis: an analysis of 64 patients

AimsTo analyse the correlation between the physician categories defined by the 3C classification (crystal-complication-compliance) and the ocular manifestations of nephropathic cystinosis.MethodsThe last visit data of 64 patients aged between 2...

Ocular disorders and compliance to protective eyewear among quarry workers in Akamkpa local government area of cross river state, Nigeria

The quarry industry over time has played a pivotal role in the transformation of the physical environment but with attendant negative effects on workers. This study ascertained the pattern of work related ocular disorders and compliance to protective eye devices among quarry workers in Akamkpa LGA, Cross River State Nigeria. This descriptive cross sectional study employed the use of a structured interview followed by a comprehensive external examination of the eyes of the subjects by qualified eye care practitioners. Data generated was analysed using the Statistical Product for Service Solution (SPSS) version 25.0. Results were presented descriptively using tables and figures. The study took place in 8 quarry sites located in 4 communities randomly selected and involved 184 subjects randomly selected comprising of 140 (76.09%) males and 44 (23.91%) females. The age of the participants ranged from 18-60 years with a mean age of 32.03±2.23 (SD). The study revealed that predominant ocular symptoms experienced were blurry vision (31.5%), itchy eyes (27.94%), ocular irritation/ grittiness (15.55%), eye/ headaches (12.46%) and discharges (9.61%). The most common ocular surface anomalies observed were pterygium (41.80%), corneal scar/ ulceration (18.03%) and allergic conjunctivitis (16.39%), while the most frequent type of eye injuries reported were superficial foreign bodies, blunt trauma and superficial ocular abrasion accounting for 50.92%,30.06% and 11.04% respectively. Injuries due to quarrying activities were more common among labourers (41.10% and 29.45% among stone crushers and stone processors respectively), while workers with less than 5 years work experience reported more work related eye injury (74.85%) with broken stones (80.39%) accounting for most of the injuries. Similarly, a majority (94.7%) of the participants had knowledge of Personal Protective Eye Devices (PPEDs) only 26.44% had the appropriate PPEDs and just 30.43% of them complied regularly with their usage during work. There was a statistically significant association between work experience and the occurrence of work related ocular injuries (p>0.001) but the use of PPEDs has no statistically significant association with the occurrence of eye injuries. The study concluded that workers at the Akamkpa quarry, Nigeria suffered various types of work related ocular anomalies and while a majority of them had prior knowledge of the benefits of PPEDs, the level of availability and utilization is relatively low and recommended health education and strict enforcement of safety regulations.

The dramaturgical infrastructure of counter-summitry – ethnographic insights from the Glasgow climate conference

ABSTRACT The annual UN climate conferences synchronize major social worlds, including politics, media, business, science, and law. They therefore attract anyone interested in high-profile performances such as protest action. With the post-Paris turn in global environmental governance, scholarly interest in theatrical aspects of climate governance is increasing. Activism at climate conferences, however, has not yet been studied through a dramaturgical lens. We propose the concept of ‘dramaturgical infrastructure’ to complement Goffman’s focus on self-presentation with the material and immaterial context beyond the micro-level of situated interactional practices. Based on fieldwork at the 2021 climate conference in Glasgow, we describe how activists draw on and mobilize a dramaturgical infrastructure of scripts, spaces, rituals, and requisites for their performances, and how this results in role-taking on the Glasgow stage. We identify the roles of the watchdog, the participant, the disrupter, and the connector, each with distinctive patterns of compliance with or distancing from post-Paris climate governance and the news media. The dramaturgical perspective suggests that climate conferences provide encounters that educate activists to be aware of the component of self-presentation in their activism and to design performances for high public, policy, and media attention.

MSME taxpayer compliance in Pekanbaru from the perspective of tax understanding, tax sanctions and tax socialization

The tax authorities in Indonesia continue to make extensive efforts to increase tax revenue, which is the main source of state revenue. This extensification focuses on increasing individual tax revenue, especially in the Micro, Small, and Medium Enterprises (MSMEs) sector. This study aims to analyze the effect of tax understanding, tax sanctions, and tax socialization on the level of taxpayer compliance of MSMEs in Pekanbaru. The study uses a quantitative method with the Structural Equation Model (SEM) approach. Data were obtained through an online questionnaire survey from MSME business actors in Pekanbaru City. A purposive sampling technique was used to select 32 respondents as research samples. The sample criteria include business actors domiciled in Pekanbaru who calculate and pay taxes independently and meet MSME criteria based on applicable regulations. The study results indicate that tax understanding and tax sanctions positively affect the level of taxpayer compliance of MSMEs in Pekanbaru. However, tax socialization does not show a significant effect on taxpayer compliance. This study provides insight into tax compliance patterns outside Java that can be considered when making regulations by the tax authorities in Indonesia.

Dynamic Prediction of Recidivism in Violence in Community-Based Schizophrenia Spectrum Disorder Patients: A Joint Model

To construct a model for predicting recidivism in violence in community-based schizophrenia spectrum disorder patients (SSDP) by adopting a joint modeling method. Based on the basic data on severe mental illness in Southwest China between January 2017 and June 2018, 4565 community-based SSDP with baseline violent behaviors were selected as the research subjects. We used a growth mixture model (GMM) to identify patterns of medication adherence and social functioning. We then fitted the joint model using a zero-inflated negative binomial regression model and compared it with traditional static models. Finally, we used a 10-fold training-test cross validation framework to evaluate the models' fitting and predictive performance. A total of 157 patients (3.44%) experienced recidivism in violence. Medication compliance and social functioning were fitted into four patterns. In the counting model, age, marital status, educational attainment, economic status, historical types of violence, and medication compliance patterns were predictive factors for the frequency of recidivism of violence (P<0.05). In the zero-inflated model, age, adverse drug reactions, historical types of violence, medication compliance patterns, and social functioning patterns were predictive factors for the recidivism in violence (P<0.05). For the joint model, the average value of Akaike information criterion (AIC) for the train set was 776.5±9.4, the average value of root mean squared error (RMSE) for the testing set was 0.168±0.013, and the average value of mean absolute error (MAE) for the testing set was 0.131±0.018, which were all lower than those of the traditional static models. Joint modeling is an effective statistical strategy for identifying and processing dynamic variables, exhibiting better predictive performance than that of the traditional static models. It can provide new ideas for promoting the construction of comprehensive intervention systems.

Factors Affecting Patients' Atttendance for Periodontal Follow-up Visits after Crown Lengthening Surgery.

To assess adherence to follow-up maintenance visits among patients who had previously undergone crown-lengthening surgery and investigate the different factors impacting their compliance. A total of 314 patients were identified for follow-up appointments. Based on their responses, participants were categorised into four groups: attendees, non-attendees, refusals, and unreachable. Furthermore, data on sociodemographic factors (age, sex, nationality, marital status, education, occupation, and residential area), medical history, dental history (including missing teeth, implants, or orthodontic treatment history), and past appointment attendance (average yearly appointments, missed appointment percentage, and last appointment date) were collected and analysed to understand their influence on patient compliance. In a sample of 314 patients, 102 (32.5%) attended the appointments successfully. Improved attendance rates were significantly associated with being female, Saudi Arabian, married, and employed (p < 0.05). Moreover, patients with a high frequency of annual appointments and a recent history of appointments exhibited better compliance. None of the analysed dental factors affected the attendance rates. About one-third of patients who had undergone crown lengthening surgery were compliant with the follow-up visits. Different factors influenced this compliance pattern to varying extents, with more efforts needed to enhance patients' commitment to these visits.

Recurrent disease detection after resection of pancreatic ductal adenocarcinoma using a recurrence-focused surveillance strategy (RADAR-PANC): protocol of an international randomized controlled trial according to the Trials within Cohorts design

BackgroundDisease recurrence remains one of the biggest concerns in patients after resection of pancreatic ductal adenocarcinoma (PDAC). Despite (neo)adjuvant systemic therapy, most patients experience local and/or distant PDAC recurrence within 2 years. High-level evidence regarding the benefits of recurrence-focused surveillance after PDAC resection is missing, and the impact of early detection and treatment of recurrence on survival and quality of life is unknown. In most European countries, recurrence-focused follow-up after surgery for PDAC is currently lacking. Consequently, guidelines regarding postoperative surveillance are based on expert opinion and other low-level evidence. The recent emergence of more potent local and systemic treatment options for PDAC recurrence has increased interest in early diagnosis. To determine whether early detection and treatment of recurrence can lead to improved survival and quality of life, we designed an international randomized trial.MethodsThis randomized controlled trial is nested within an existing prospective cohort in pancreatic cancer centers in the Netherlands (Dutch Pancreatic Cancer Project; PACAP) and the United Kingdom (UK) (Pancreas Cancer: Observations of Practice and survival; PACOPS) according to the “Trials within Cohorts” (TwiCs) design. All PACAP/PACOPS participants with a macroscopically radical resection (R0-R1) of histologically confirmed PDAC, who provided informed consent for TwiCs and participation in quality of life questionnaires, are included. Participants randomized to the intervention arm are offered recurrence-focused surveillance, existing of clinical evaluation, serum cancer antigen (CA) 19–9 testing, and contrast-enhanced computed tomography (CT) of chest and abdomen every three months during the first 2 years after surgery. Participants in the control arm of the study will undergo non-standardized clinical follow-up, generally consisting of clinical follow-up with imaging and serum tumor marker testing only in case of onset of symptoms, according to local practice in the participating hospital. The primary endpoint is overall survival. Secondary endpoints include quality of life, patterns of recurrence, compliance to and costs of recurrence-focused follow-up, and the impact on recurrence-focused treatment.DiscussionThe RADAR-PANC trial will be the first randomized controlled trial to generate high level evidence for the current clinical equipoise regarding the value of recurrence-focused postoperative surveillance with serial tumor marker testing and routine imaging in patients after PDAC resection. The Trials within Cohort design allows us to study the acceptability of recurrence-focused surveillance among cohort participants and increases the generalizability of findings to the general population. While it is strongly encouraged to offer all trial participants treatment at time of recurrence diagnosis, type and timing of treatment will be determined through shared decision-making. This might reduce the potential survival benefits of recurrence-focused surveillance, although insights into the impact on patients’ quality of life will be obtained.Trial registrationClinicaltrials.gov, NCT04875325. Registered on May 6, 2021.

Exploring the link between public health compliance and voting patterns in the 2020 U.S. presidential election

IntroductionThe COVID-19 pandemic has significantly impacted society and politics, particularly in the context of the 2020 U.S. presidential election. Public officials' unpreparedness resulted in skepticism regarding government responses. Additionally, health inequities and political polarization profoundly influenced voter attitudes and behaviors.MethodsThis study employs statistical techniques to examine voting patterns, leveraging data from the 2021 African American COVID-19 Vaccine Polls (AACVP) alongside the 2020 Collaborative Multiracial Post-Election Survey (CMPS). Specifically, it utilizes logistic regression and t-tests to dissect and understand the dichotomous electoral decisions made by voters between Donald Trump and Joe Biden in the U.S. presidential election. The research analyzes the nuances of the electorate's behavior by considering many factors that may influence the binary vote decision.ResultsT-tests revealed significant mean differences in voting patterns based on public health compliance, with less compliant individuals more likely to vote for Trump and more compliant individuals favoring Biden. Logistic regression analysis showed a substantial statistical correlation between public health compliance and voting preferences, independent of confounding variables.DiscussionThe study confirmed that public health compliance during the pandemic impacted voting behavior, with a divide based on attitudes toward health measures. This reflected broader societal divisions, suggesting that public health behaviors are linked with political identities. Additionally, media sources and racial identity significantly influenced voting decisions.

Effectiveness of bracing to achieve curve regression in adolescent idiopathic scoliosis.

To systematically evaluate whether bracing can effectively achieve curve regression in patients with adolescent idiopathic scoliosis (AIS), and to identify any predictors of curve regression after bracing. Two independent reviewers performed a comprehensive literature search in PubMed, Ovid, Web of Science, Scopus, and Cochrane Library to obtain all published information about the effectiveness of bracing in achieving curve regression in AIS patients. Search terms included "brace treatment" or "bracing," "idiopathic scoliosis," and "curve regression" or "curve reduction." Inclusion criteria were studies recruiting patients with AIS undergoing brace treatment and one of the study outcomes must be curve regression or reduction, defined as > 5° reduction in coronal Cobb angle of a major curve upon bracing completion. Exclusion criteria were studies including non-AIS patients, studies not reporting p-value or confidence interval, animal studies, case reports, case series, and systematic reviews. The GRADE approach to assessing quality of evidence was used to evaluate each publication. After abstract and full-text screening, 205 out of 216 articles were excluded. The 11 included studies all reported occurrence of curve regression among AIS patients who were braced. Regression rate ranged from 16.7% to 100%. We found evidence that bracing is effective in achieving curve regression among compliant AIS patients eligible for bracing, i.e. curves of 25° to 40°. A similar effect was also found in patients with major curve sizes ranging from 40° to 60° when combined with scoliosis-specific exercises. There was also evidence showing that a low apical vertebral body height ratio, in-brace correction, smaller pre-brace Cobb angle, and daily pattern of brace-wear compliance predict curve regression after bracing. Bracing provides a corrective effect on scoliotic curves of AIS patients to achieve curve regression, given there is high compliance rate and the incorporation of exercises.

Regional route guidance with realistic compliance patterns: Application of deep reinforcement learning and MPC

Solving link-based route guidance problems for large-scale networks is computationally challenging and faces practical issues, such as spatial–temporal data coverage. Thus, regional route guidance has emerged as a promising strategy, which utilizes regional approaches (i.e., network-level macroscopic traffic models) to capture traffic dynamics. Existing regional route guidance models have mainly focused on macroscopic flows and aggregated splitting rates, employing uniformly sampled vehicles as controllable targets. These models, however, overlook the inherent nature of individual drivers’ compliance. It may deteriorate the guidance performance as existing route guidance models cannot effectively generate customized route plans for compliant vehicles. This paper aims to introduce a regional route guidance framework with the utilization of different solution approaches, i.e. model-based and data-driven, considering the compliance pattern. In particular, MPC-based and deep reinforcement learning-based schemes are proposed for the information service provider to send customized route plans to compliant individuals. Within each solution approach, different route guidance strategies are developed for specific purposes and evaluated through numerical experiments under low- and high-congestion scenarios. Besides, the trade-off between total travel time and average trip length is studied, wherein the balance reward in a deep reinforcement learning-based approach enables controllable agents to reduce trip costs while compromising partial system utility. The findings indicate the effectiveness of the proposed strategies in alleviating network congestion. Additionally, multi-agent approaches outperform single-agent ones, highlighting the benefits of cooperative decision-making in traffic management.

Patterns of individual compliance with anthelmintic treatment for soil-transmitted helminth infections in southern Ethiopia over six rounds of community-wide mass drug administration.

The mainstay of soil-transmitted helminth (STH) control is repeated mass drug administration (MDA) of anthelmintics to endemic populations. Individual longitudinal compliance treatment patterns are important for identifying pockets of infected individuals who remain untreated and serve as infection reservoirs. The Geshiyaro Project censused the study population in Wolaita, Ethiopia at baseline in 2018. Individual longitudinal compliance was recorded for six rounds of community-wide MDA (cMDA). The probability distribution of treatment frequency was analysed by age and gender stratifications. Probabilities of transmission interruption for different compliance patterns were calculated using an individual-based stochastic model of Ascaris lumbricoides transmission. The never-treated (0.42%) population was smaller than expected from a random positive binomial distribution. The observed compliance frequency was well described by the beta-binomial distribution. Preschool-age children (odds ratio [OR] 10.1 [95% confidence interval {CI} 6.63 to 15.4]) had the highest never-treated proportion of the age groups. Conversely, school-age children (SAC) and adults (OR 1.03 [95% CI 0.98 to 1.09]) had the highest always-treated proportion of the age groups. The study reports the largest dataset of individual longitudinal compliance to cMDA for STH control. Clear pattens are shown in the age-dependent distribution of individual compliance behaviour. The impact of compliance on the probability of elimination is significant, highlighting the importance of recording the full frequency distribution, not just the never-treated proportion.

Compliance Trajectory and Patterns of COVID-19 Preventive Measures, Japan, 2020-2022.

COVID-19 remains a global health threat. Compliance with nonpharmaceutical interventions is essential because of limited effectiveness of COVID-19 vaccines, emergence of highly contagious variants, and declining COVID-19 antibody titers over time. We evaluated compliance with 14 nonpharmaceutical intervention-related COVID-19 preventive behaviors, including mask wearing, ventilation, and surface sanitation, in a longitudinal study in Japan using 4 waves of Internet survey data obtained during 2020-2022. Compliance with most preventive behaviors increased or remained stable during the 2-year period, except for surface sanitation and going out behaviors; compliance with ventilation behavior substantially decreased in winter. Compliance patterns identified from latent class analysis showed that the number of persons in the low compliance class decreased, whereas those in the personal hygiene class increased. Our findings reflect the relaxation of mobility restriction policy in Japan, where the COVID-19 pandemic continues. Policymakers should consider behavioral changes caused by new policies to improve COVID-19 prevention strategies.

CORPORATE TAX COMPLIANCE AND MEDIATING ROLE OF PERSONAL TAX COMPLIANCE AMONG MALAYSIAN IN-HOUSE TAX PROFESSIONALS

Studies relating to tax compliance disclose that there is much likelihood of the corporate tax compliance behaviour getting influenced by the tax compliance behaviour of the in-house tax professionals. However, no studies have investigated the nexus between the personal tax compliance and the corporate tax compliance so far. Therefore, this study aims at investigating the link between the above two tax compliance behaviours and the mediating effect of the personal tax compliance behaviour of the in-house tax professionals on their corporate tax compliance behaviour. A sequential explanatory design is chosen to collect data from 392 in-house tax professionals through a survey questionnaire, and the findings obtained from the survey are supported further by the supplementary findings made by nine (9) tax experts from the tax authority, tax agency, and tax scholars of the institutions in Malaysia. Structural equation modelling is used to analyse the data taken from the findings that reveal that the factors that contribute to the tax compliance behaviour have strong influence on the personal tax compliance of the in-house tax professionals. Interestingly, their tax compliance behaviour strongly influences their corporate tax compliance as well. Further, the bootstrapping test reveals that personal tax compliance behaviour has a significant indirect effect on the corporate tax compliance. The empirical findings give a clue to the tax authorities to identify the root cause for the corporate tax non-compliance by investigating the decision makers’ tax compliance pattern. The researchers of the future studies are encouraged to follow the same method of data collection, along with the sequential explanatory design, and to consider the moderation effect of the financial constraints on the tax compliance behaviour.

ADAPTING BEHAVIORAL PATTERNS OF TOURISTS TO THE COVID-19 PROCESS: WHO ARE ACCEPTORS, OPPONENTS AND SUBMISSIVES

The purpose of this research was to analyze how tourists react to the process during health crisis periods and to what extent they adapt themselves to the pandemic. Therefore, the mixed method approach was used to address the research problem. Firstly, the observation technique was used as the data collection tool in the qualitative step of the study, and then a scale was developed in accordance with the data acquired from the qualitative part. In the qualitative stage of the study, 3 different types of tourist adaptation emerged, including “Acceptors, Submissives and Opponents”. In the second stage of the research, a 5-point Likert-type scale consisting of 26 items was developed to measure 3 types of compliance patterns. The results of the research indicate that the scale can be used in different application areas although the research focused on the COVID-19 pandemic, and that the reactions of the tourists to the procedures applied during the pandemic may differ from each other although it has emerged as a universal problem. Lastly, the different tourist behaviors emerging during the COVID-19 pandemic are highly important for tourist enterprises to develop various applications for tourists and to consider how they can adapt to this process.

Patient Compliance Patterns on Therapeutic Success of Type 2 Diabetes Mellitus Medication at La Temmamala Hospital in Sopping, South Sulawesi

Patient compliance is a determining factor for successful therapy, especially for long-term treatment such as diabetes mellitus. Purpose: The aim of this study was to determine the level of adherence and the influence of the characteristics of patients with type 2 diabetes mellitus in using drugs at the Regional General Hospital of La Temmamala, Soppeng. Thirty respondents who met the entry criteria in this study. Data were obtained prospectively. Respondents were interviewed using a demographic questionnaire and an MMAS-8 questionnaire (Morisky Medication Adherence Scale-8). The results of the study showed low compliance level of 43.3%, medium 36.7%, and high 20.0%. Exercising status, co-morbidities, regimen therapy, and checking fasting blood sugar gave significant results on the level of adherence (p&lt;0.05). other factors such as level of educational factors, profession, duration of diagnosis, dietary pattern, smoking, and the varian drug had no effect on compliance (p&gt;0.05). Compliance of most respondents was low (43.3%). Exercise status, comorbidities, regimen therapy, and fasting blood sugar test results are the factors that affect adherence.

Pattern of Compliance and Efficacy of Repetitive Transcranial Magnetic Stimulation Protocol for Treating Major Depressive Disorder Among Treatment Participants and Completers: A Report From Iran.

Since the introduction of the Food and Drug Administration (FDA)-approved repetitive transcranial magnetic stimulation (rTMS) intervention in 2008, a breakthrough has been made in treating major depressive disorder (MDD). However, many sessions of treatment and its cost make it inconvenient for those who seek treatment, especially in large cities as well as in developing countries. A total of 22 patients (out of initial 24 referrals) who met diagnostic and statistical manual of mental disorders, 4th edition (DSM IV) criteria for MDD were enrolled in the study. All subjects had to fail at least one prior treatment for depression. The patients received the FDA-approved protocol of high-frequency (10 Hz) rTMS over the left dorsolateral prefrontal cortex. Seventeen out of twenty-two cases showed significant improvements after two weeks of treatment. Only six patients continued their treatments for the next two to four weeks. We have replicated other studies showing that the use of rTMS is effective for many patients with MDD without major side effects and their improvements are measurable mostly after two weeks. Our data highlight the importance of the application of more convenient protocols that require fewer sessions on fewer days to help with compliance and outcome, particularly in large populated cities and countries, such as Iran going through economic hardship. Repetitive transcranial magnetic stimulation (rTMS) is effective for treating major depresion.Improvemens are measurable after 2 weeks of treating with rTMS.Compliance is a major factorto for completing rTMS protocols. Major depression is one of the most common psychiatric disorders leading to debilitating course causing significant burden for the society. Many cases with major depression are resistent to treatment as they try multiple interventions with no success. This condition is also called refractory depression. rTMS is a novel intervention introduced first almost two decades ago to treat refractory depression among some other psychiatric disorders. In this intervention pulses generated by magnetic stimulation over the brain leads to improvement is depression. As this treatment is safe with no pain and discomfort there have been much interest in the field to use it more frequently. rTMS is usually done over 15-30 sessions with its maximum effects appearing within the first two weeks of treatment. The number of sessions is a potential factor contributing to poor compliance in some cases especially those living in large metropolitan areas. In this paper we explored compliance and effect of treatment within the first two weeks among a group of patients in a private outpatient clinic of a large metropolitan area.

Prediction of Early Dropouts in Patient Remote Monitoring Programs

The analysis of medical data is a significant opportunity worldwide for national health systems to reduce costs and at the same time improve healthcare. The utilization of these technologies is done in the context of monitoring health issues, counting health goals, as well as for recording medical data. In such a context, early detection of users at risk of lower compliance rates and patterns of use of a health monitoring application suggesting a risk of abandonment is an invaluable opportunity to implement tailored intervention strategies aimed at recovering and avoiding abandonment thoughts. This study aims to identify patterns of early dropout in users of an application for mobile intervention, having access to a database of users who have experienced the impact of a digital monitoring application to improve their quality of life for at least 6 months. At the experimental stage, many different approaches for early dropout prediction were implemented with a different set of features. Specifically, the current study proposes a methodology using the Neighborhood Cleaning Rule and a specific classification algorithm based on the Stacked Generalization learning method to predict the early abandonment of users of the health monitoring application. The results showed that the proposed algorithm was able to predict the early dropout of users from the application with an accuracy of 97.6%, making it reliable enough to be used as an early warning system.

Evaluation of prescribing pattern of drugs and compliance to standard treatment guidelines in patients of chronic hepatitis B: a prospective observational study

Background: Hepatitis B is a major global health problem. Chronic hepatitis B is characterized by hepatic inflammation, necrosis and persistence of HbsAg for at least 6 months. Chronic liver disease is more predictably associated with impaired metabolism of drugs than acute liver dysfunction. Prescribing drugs in patients with chronic hepatitis B is challenging because of concerns that the drug may exacerbate the liver disease. There is also the fear that the altered liver state may change metabolism and excretion of the drug. Methods: A cross-sectional prospective study was conducted involving patients diagnosed with chronic hepatitis B at the liver clinic outpatient department (OPD) of AIIMS Bhopal. A total of 102 patients with chronic hepatitis B who met the inclusion criteria were recruited in the study. Results: Out of 102 prescriptions, 492 drugs were prescribed for the 102 patients. Out of 102 patients, 81 patients (81.66%) were on entecavir monotherapy and rest 21 patients (18.34%) were on tenofovir disoproxil fumarate (TDF) monotherapy. Of the 102-prescription issued, 92.15% (94/102) were compliant and 7.85% (8/102) were noncompliant. Conclusions: Entecavir was the most common antiviral drug prescribed, followed by tenofovir in patients of chronic hepatitis B. Spironolactone plus torasemide combination was the most common fixed dose combination used among study participants. Liver cirrhosis followed by portal hypertension was the most common complication. Majority of prescriptions were compliant with recommendations for pharmacotherapy and safety guidelines in patients of chronic hepatitis B.

Reassessing social trust: gossip, self-policing, and Covid-19 risk communication in Norway

This article analyses patterns of compliance with COVID-19 regulations in Southwest Norway. Based on ethnographic fieldwork and a series of interviews, we contrast grassroots discourses with the Norwegian government’s own emphasis on ‘trust’ in its risk communication strategies. As opposed to the official claim that Norwegians complied with COVID-19 emergency regulations because they trusted the authorities, the evidence suggests that citizens complied more due to the informal pressure of their peers. Affective reciprocity and moral judgement, including the dynamics of kinship sociability in which they are expressed, here acquire a critical analytical dimension. In dialogue with dominant theories of trust in risk studies, we argue that such relational aspects of everyday life should be taken into consideration as essential factors for any health risk mitigation strategy.

MP37-15 PERCUTANEOUS TIBIAL NEUROMODULATION INITIAL THERAPY COMPLIANCE AND SUBSEQUENT THIRD-LINE TREATMENT PATTERNS

You have accessJournal of UrologyCME1 Apr 2023MP37-15 PERCUTANEOUS TIBIAL NEUROMODULATION INITIAL THERAPY COMPLIANCE AND SUBSEQUENT THIRD-LINE TREATMENT PATTERNS Priya Padmanabhan, Bernadette Zwaans, Ryan Boldt, and Charlotte Wu Priya PadmanabhanPriya Padmanabhan More articles by this author , Bernadette ZwaansBernadette Zwaans More articles by this author , Ryan BoldtRyan Boldt More articles by this author , and Charlotte WuCharlotte Wu More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003275.15AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Percutaneous Tibial Neuromodulation (PTNM) is a therapy for Overactive Bladder (OAB) delivered over 12 consecutive weekly sessions. However, little is known about the application and adherence of this treatment in a real-world setting. This analysis aims to summarize patients’ time to complete treatment course and examine trends of third-line therapy use--Sacral Neuromodulation (SNM) and Botox®--during and after the treatment course. METHODS: Optum’s Clinformatics® Data Mart (CDM) Database and CMS Research Identifiable File (RIF) healthcare claims were queried for adults diagnosed with urgency, frequency and urge incontinence and underwent PTNM treatment during 2019—allowing for a 1-year follow-up period. Patients were required to have continuous enrollment and pharmacy coverage. PTNM treatment within 30 days of a previous treatment was defined as part of the initial therapy. Compliance was defined as 12 PTNM-related visits. Primary outcomes were percentage of compliant PTNM-related visits within 1 year and total number of patients with SNM and Botox® within the same year, segmented by 12-, 15-, 22-, and 52-week periods. RESULTS: 3,087 patients were included from CDM and 9,727 patients from RIF data. Completion of initial treatment (12 treatments) increased over time; 16% at week 12 to 42% by week 52 and 24% to 38% for CDM and RIF data, respectively (Figure 1; both p<0.001). Similarly, utilization of third-line therapy increased over time and was higher for non-compliant patients: 0.2% of compliant and 0.8% of non-compliant CDM patients used Botox within 12 weeks. However, 4.9% of compliant and 6.4% of non-compliant CDM patients used Botox within 52 weeks; p=0.035. Similarly, SNM implant within 12 weeks was <1% for CDM patients, and within 52 weeks were 1.2% of compliant and 2.6% of non-compliant patients; p=0.002. Patients in the RIF data followed similar trends. CONCLUSIONS: Most patients are not compliant with the recommended treatment regimen of 12 PTNM treatments in 12 weeks. Non-compliant patients were more likely to pursue third-line treatment options. Signaling the effectiveness of PTNM therapy for patients with OAB symptoms may be severely underestimated. This is valuable in consideration of implantable tibial technology. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e520 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Priya Padmanabhan More articles by this author Bernadette Zwaans More articles by this author Ryan Boldt More articles by this author Charlotte Wu More articles by this author Expand All Advertisement PDF downloadLoading ...