Likert Rating Research Articles

Parent and Guardian Opinions on Obesity Medications Use in Adolescents with Obesity and Related Comorbidities.

Background: There are now four FDA-approved anti-obesity medications (AOMs) for youth ≥12 years, which can be effective therapies to treat obesity and obesity-related comorbidities. Objectives: This study describes parent/guardian (caregiver) openness to using AOMs for adolescents with obesity and evaluates factors that may contribute to openness. Methods: Caregivers of adolescents aged 12-17 years were surveyed. Self-reported height, weight, demographic information, family, and personal history of obesity or obesity-related comorbidities were collected. Participants rated their openness to starting an AOM for their child for obesity alone or obesity-related comorbidities on a 7-point Likert scale. A Likert rating of less than 4 was considered "less open" versus 4-7 was considered "more open." Results: A total of 344 participants completed the survey. Average openness toward AOM use for obesity as the only indication (as opposed to comorbid conditions) was 3.2 ± 1.74. Caregivers who were knowledgeable that the FDA-approved AOM use in adolescents had greater odds of being open to using these medications compared with caregivers who were not knowledgeable (odds ratio: 2.18; 95% confidence interval: 1.25-2.86). Conclusions: Caregivers reported openness to starting an AOM if they had prior knowledge of these medications, highlighting the need for family education on AOM use and indications.

The Relationship Between Self-Reported Nocturnal Cough Symptoms and Acoustic Cough Monitoring

ObjectiveThis pilot investigation explored the relationship between self-reported clinical cough symptoms and objective acoustic cough data in individuals with nocturnal chronic cough. MethodsTen participants diagnosed with chronic cough with a nocturnal component underwent two study sessions, approximately 1 week apart. Participants completed questionnaires regarding cough severity and their perceptions of using a smartphone application (app) to audio record cough. Between sessions, participants utilized the continuous audio recorder while sleeping. The relationship between the number of coughs captured at night and the self-reported impact of cough awakening during sleep were analyzed. ResultsWe found strong correlations (ρ = −0.78, −0.87) between formalized Leicester Cough Questionnaire scores and acoustically determined cough frequency. However, there were large differences between the average number of self-reported cough awakening events (0-3) and the number of acoustically recorded coughs (0-639). While users expressed comfort with recording and sharing acoustic data (4.8/5 Likert rating), concerns over confidentiality in daytime use were noted (4.1/5). ConclusionFormalized cough questionnaires provide insight into chronic cough at night but may fall short in quantifying the shear frequency of coughs patients are experiencing. Although continuous audio recordings via smartphone emerged as a comfortable means for patients to supply quantifiable data regarding the impact of chronic cough during sleep, future endeavors in cough acoustic monitoring should prioritize privacy considerations for daytime use and work to share information with health care providers.

The Essential Components of Adult Critical Care Neuroscience Nursing Orientation: A Delphi Study.

BACKGROUND: Critical care neuroscience nursing is a specialized field requiring a complex knowledge base and unique clinical orientation. A comprehensive orientation for nurses new to this specialty can improve retention, performance, and satisfaction. Critical care neuroscience orientations are often hospital based and regionally specific, and lack a systematic approach. The aim of this research was to obtain expert consensus on the essential components of a 12- to 18-week critical care neuroscience nursing orientation. METHODS: A Delphi methodology was used to collect expert consensus on the components of a critical care neuroscience nursing orientation. Electronic surveys were distributed to 161 neuroscience critical care orientation experts in 2 Delphi rounds. Participant demographic data and a Likert rating scale (1-5) of literature-based components of a critical care neuroscience orientation were collected. Participants identified additional critical care neuroscience orientation components that were not included in the listed components in round 1 or round 2 of the survey. RESULTS: Round 1 of the survey had 38 responses (23.6%), and round 2 had 23 responses (14.2%). The round 1 survey included 47 elements, and 36 of 47 met the a priori threshold of ≥75% consensus of being important or very important. Two additional elements resulted from write-in recommendations. In round 2, 38 elements were included in the survey, and 37 of 38 elements met consensus. Expert consensus on the essential components of a critical care neuroscience orientation included 37 elements divided among 5 major components. CONCLUSION: Expert consensus was achieved on the essential components of a 12- to 18-week adult critical care neuroscience nursing orientation. Five components and 37 elements were agreed upon by expert consensus.

Addressing the challenges towards the adoption of digital technologies in construction supply chain management

Supply chain management has shown to be an aspect of construction that is neglected, yet with great impact on project delivery time frames and the overall cost of construction projects. This research seeks to identify, assess, and propose solutions for the challenges hindering the adoption of digital technologies in construction supply chain management, hence creating a sustainable foundation for practitioners and relevant agencies to leverage the benefits of digital technologies in the management of construction supply chain. The literature review identified challenges of digital technology adoption in construction supply chain management, guiding subsequent research. A structured questionnaire captured demographic data and insights, with 171 industry professionals surveyed. Data analysis, including Likert scale ratings and Relative Impact/Feasibility Index, informed an Impact-Feasibility Matrix. This matrix categorized challenges and strategies into quadrants, aiding prioritization. A conceptual framework emerged, offering actionable insights for addressing adoption challenges. The study identified 14 challenges to digital technology adoption in construction supply chain management, ranked by respondents. These challenges were categorized based on their impact and feasibility, with strategies mapped accordingly. The resulting framework prioritizes High Impact/High Feasibility challenges for action, while Low Impact/Low Feasibility challenges may require further exploration. This strategic approach aims to address key hurdles efficiently, enhancing the adoption of digital technologies in construction supply management. The findings from this study will inform construction practitioners and relevant agencies about the challenges hindering the seamless integration of digital technologies into construction supply chain management and propose feasible strategies for addressing these challenges.

Exploration of Jlamprang Batik Motifs using Digital Printing Techniques to Apply Please on Men's Shirt

This research aims to find out 1) the development of the jlamprang batik motif, 2) the application and placement of pleats on men's shirts with the jlamprang batik motif, and 3) the finished results of the exploration of the jlamprang batik motif using digital printing techniques to apply pleats to men's shirts. This type of research is quantitative descriptive. Data collection is carried out using questionnaires or questionnaires. The instrument scale used is the Likert scale rating. The data analysis technique used is average value. This research resulted in a description of the process of developing the jlamprang batik motif, the application and placement of pleats on men's shirts with jlamprang batik motifs, the result was an exploration of the jlamprang batik motif using digital printing techniques to apply pleats to men's shirts.

Development and Implementation of the “Exercise is Medicine” Elective at an Osteopathic Medical School

Abstract Introduction Lifestyle changes are a powerful way to combat many chronic illnesses. However, education on appropriate instruction of physical activity appears to be insufficient among medical students. This manuscript highlights development, incorporation, and feedback of the Exercise is Medicine elective at the West Virginia School of Osteopathic Medicine. Materials and Methods Twenty-four medical students attended ten weekly sessions, each of which lasted 2 h and covered a different topic. Participants were selected based on previous experience with exercise-based medicine and their personal beliefs on incorporating it into clinical encounters. Outcomes were gathered using surveys consisting of the Likert Scale, rating, yes/no/maybe, and free text questions. Results Confidence in prescribing lifestyle changes increased (p < 0.0001) from pre- to post-elective. Feelings of incorporating course material into practice increased (p < 0.05) after the elective. Feelings that physicians could impact their patients’ physical activity did not change. Conclusion Implementation of the Exercise is Medicine elective was well received among students and increased student knowledge and confidence in prescribing lifestyle changes to a variety of patient populations.

Peer-led teaching with adjunctive virtual reality leads to increased confidence and engagement in surgical education amongst medical students

Abstract Purpose The aims of this study are to (1) evaluate the efficacy of peer-led teaching in post-surgical complications; (2) evaluate the role of virtual reality (VR) in peer-led teaching; and (3) assess the impact of performance-affecting factors (core knowledge coverage, quality of teaching, confidence in peer tutors, and engagement) in peer-led teaching with VR. Methods 30 medical students in clinical years of a 6-year Bachelor of Medicine and Bachelor of Surgery (MBChB) program participated in a peer-led tutorial and VR scenario on common post-surgical complications. Each tutorial consisted of two tutors and up to eight participants. Participants then answered a 13-item questionnaire using 5-point Likert scales. Results 28 (93%) participants showed marked improvement or remained at the previous ≥ 4 Likert rating for self-perceived experience and expertise after peer-led teaching (p < 0.05); and 30 (100%) after the VR scenario (p < 0.05). Increased confidence in peer tutors, quality of teaching and engagement correlated with improved confidence in VR and real-life post-surgical complications (p < 0.05). 24 (80%) participants felt performance pressure was diminished with VR simulation. Conclusions The use of peer-led teaching with VR scenarios increases medical student engagement in learning and confidence in dealing with post-surgical complications. Further long-term research with larger cohorts is recommended.

Insect pests of dried yam (Dioscorea sp.) chips and the perception of processors and marketers on their control

This survey was aimed at understanding the perception of Dried yam chips (DYC) Processors and Marketers on insect pests' infestation of DYC and their damage through the use of structured questionnaires. Data on socio-economic characteristics and technical information were analyzed using descriptive statistics such as frequency distribution, percentages, and means. Data on the perception of insect pests and measures of pest control were placed on a 3-point Likert Rating Scale (LRS). Analysis of variance (ANOVA) was done on the population density of the identified insects and significant mean values were compared using Fisher's Least Significant Difference. Seven insect pests; Prostephanus truncatus, Rhyzopertha dominica, Tribolium castaneum, Stegobium paniceum, Heterobostrychus aequalis, Sitophilus zeamais, Areacerus fasciculatus, and one natural enemy; Peregrinator biannulipes were associated with DYC. However, P. truncatus, R. dominica, and A. fasciculatus were the most prevalent insect pests, causing significant damage to DYC. Approximately, 49% of processors reportedly control insect infestation in DYC using conventional insecticides, 23% by re-drying, 14% by botanicals, and the others by removing affected DYC. These findings provide useful information for extension workers involved in community education, and intervention programs by government or non-governmental organizations including public health experts and researchers.

Ordinal regression models made easy: A tutorial on parameter interpretation, data simulation and power analysis.

Ordinal data such as Likert items, ratings or generic ordered variables are widespread in psychology. These variables are usually analysed using metric models (e.g., standard linear regression) with important drawbacks in terms of statistical inference (reduced power and increased type-1 error) and prediction. One possible reason for not using ordinal regression models could be difficulty in understanding parameters or conducting a power analysis. The tutorial aims to present ordinal regression models using a simulation-based approach. Firstly, we introduced the general model highlighting crucial components and assumptions. Then, we explained how to interpret parameters for a logit and probit model. Then we proposed two ways for simulating data as a function of predictors showing a 2 × 2 interaction with categorical predictors and the interaction between a numeric and categorical predictor. Finally, we showed an example of power analysis using simulations that can be easily extended to complex models with multiple predictors. The tutorial is supported by a collection of custom R functions developed to simulate and understand ordinal regression models. The code to reproduce the proposed simulation, the custom R functions and additional examples of ordinal regression models can be found on the online Open Science Framework repository ( https://osf.io/93h5j).

Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis.

Family health history (FHx) is an important predictor of a person's genetic risk but is not collected by many adults in the United States. This study aims to test and compare the usability, engagement, and report usefulness of 2 web-based methods to collect FHx. This mixed methods study compared FHx data collection using a flow-based chatbot (KIT; the curious interactive test) and a form-based method. KIT's design was optimized to reduce user burden. We recruited and randomized individuals from 2 crowdsourced platforms to 1 of the 2 FHx methods. All participants were asked to complete a questionnaire to assess the method's usability, the usefulness of a report summarizing their experience, user-desired chatbot enhancements, and general user experience. Engagement was studied using log data collected by the methods. We used qualitative findings from analyzing free-text comments to supplement the primary quantitative results. Participants randomized to KIT reported higher usability than those randomized to the form, with a mean System Usability Scale score of 80.2 versus 61.9 (P<.001), respectively. The engagement analysis reflected design differences in the onboarding process. KIT users spent less time entering FHx information and reported more conditions than form users (mean 5.90 vs 7.97 min; P=.04; and mean 7.8 vs 10.1 conditions; P=.04). Both KIT and form users somewhat agreed that the report was useful (Likert scale ratings of 4.08 and 4.29, respectively). Among desired enhancements, personalization was the highest-rated feature (188/205, 91.7% rated medium- to high-priority). Qualitative analyses revealed positive and negative characteristics of both KIT and the form-based method. Among respondents randomized to KIT, most indicated it was easy to use and navigate and that they could respond to and understand user prompts. Negative comments addressed KIT's personality, conversational pace, and ability to manage errors. For KIT and form respondents, qualitative results revealed common themes, including a desire for more information about conditions and a mutual appreciation for the multiple-choice button response format. Respondents also said they wanted to report health information beyond KIT's prompts (eg, personal health history) and for KIT to provide more personalized responses. We showed that KIT provided a usable way to collect FHx. We also identified design considerations to improve chatbot-based FHx data collection: First, the final report summarizing the FHx collection experience should be enhanced to provide more value for patients. Second, the onboarding chatbot prompt may impact data quality and should be carefully considered. Finally, we highlighted several areas that could be improved by moving from a flow-based chatbot to a large language model implementation strategy.

Assessing awareness of IoT-driven strategies for poultry management in mitigating increased ambient heat in Enugu, Nigeria

The study examined awareness level of Internet of Things (IoT)-driven strategies in mitigating impacts of increased ambient heat load in poultry pens by poultry farmers in a smart city like Enugu, Nigeria. With the rising challenges of climate change, increased ambient heat load within poultry pens poses a significant threat to poultry production. Understanding farmers’ perception of impact of increased ambient heat load and their awareness of IoT-driven strategies for its mitigation is crucial for sustainable poultry system management in smart cities. Multi-stage random sampling technique was used to select 240 poultry farmers from the three Local Government Areas that make up Enugu City. A structured questionnaire was used to collect data from the respondents. Descriptive statistics and Likert rating scale were used to analyze the data. The study identified socio-demographic factors influencing farmers’ perception of impact of increased heat load and awareness/ adoption of IoT-driven mitigation strategies. Education level (45% secondary education), access to information (29.2%) and financial resources (22.9%) were key determinants. The findings revealed varying levels of awareness among poultry farmers regarding IoT-driven strategies while the constraints faced by farmers in implementing sustainable IoT-driven mitigation strategies included lack of awareness, lack of funding/high initial investment, limited access to technology, inadequate training, poor extension contact, water availability and climate variability. The study concluded that majority of poultry farmers shared similar perceptions about the impact of increased ambient heat load on poultry species but however were not aware of many of the IoT-driven strategies to mitigate the impact and were limited by a number of constraints or challenges to adopting IoT-driven mitigation strategies which altogether could improve poultry production system and help to achieve animal protein security in a smart city like Enugu, Nigeria. The study further recommended enlightenment of poultry farmers on the impact of increased ambient heat load on poultry species and available/sustainable/harmonized IoT-enabled guidelines or solutions to mitigate heat load in smart cities’ poultry production system.

The Role of Sustainable Tourism in Enhancing Cultural Heritage Preservation: In-depth Analysis

Sustainable tourism is essential to improving the preservation of cultural property since it encourages ethical travel, helps local communities, and raises money for conservation initiatives. It guarantees the preservation of cultural treasures for future generations while promoting awareness and appreciation of them. In this paper, the relationship between sustainable tourism practice, environmental policies, tourist education, community involvement, tourism revenue allocation, and cultural heritage preservation were evaluated using structural equation modeling (SEM) analysis. Five hypotheses were developed and the dataset includes 232 respondents. A systematic questionnaire with a Likert scale rating was used to evaluate the data. As a result, latent construct validity and reliability were examined, and the structural model evaluated the connections between the constructs in the context of the suggested hypotheses. The structural model revealed that EP, STP, and TE are positively connected to the CHP, providing support for hypothesis 1: Cultural Heritage Preservation and Sustainable Tourism Practice (CHP→STP) and 3:Cultural Heritage Preservation and Environmental Policies (CHP→EP) are well supported and show no significant changes to enhancing heritage preservation.

Exploring Innovative Approaches to Managing Cultural Heritage for Economic Benefit

Cultural heritage management is essential for protecting the historical and cultural significance of sites while contributing to economic growth. This study's objective is to ascertain and evaluate modern management techniques for heritage sites that maximize economic benefits while ensuring sustainable protection. It seeks to discover methods that effectively stabilize heritage conservation with economic development goals. This study investigates the relationship between Economic benefits, Cultural preservation, Public Engagement, Community Impact, Sustainability of Management Practices, and Innovative approaches to managing cultural heritage utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM). A systematic questionnaire with a Likert scale rating was used to collect data from 450 populations. The measurement model assessed the validity and reliability of latent constructs, while the structural model analyzed the relationship between constructs based on the proposed hypotheses. The structural model revealed that EB, CP, and SMP are positively connected to the IMCH, between cultural heritages for economic benefit. (β = 0.55,0.50,and 0.56,p &lt; 0.05), providing well support for hypothesis 1, 2, and 5. The result shows there are no significant changes to managing cultural heritage for economic benefit.

Examining the Evolution of Digital Innovation and Its Impact on Organizational Growth

Organizational operations have been modified by using the rise of digital innovation, which has increased consumer interaction, accelerated efficiency, and stimulated overall growth. But obstacles like converting organizational adoption charges and a quickly evolving era would possibly make it more difficult to generalize effects across of different sectors and ancient intervals. To overcome these constraints, a thorough examination of the impact of digital innovation on organizational growth is carried out in this study. This study investigates the connection among Digital infrastructure (DI), Digital Innovation practices (DIP), Adoption of advanced digital technologies (ADT), Leadership support (LS), Organizational growth (OG), and Employee digital capabilities (EDS) utilizing Structural Equation Modeling (SEM) and CFA test. SEM is used to evaluate the causal pathways between constructs and the connections between latent variables and their indicators. CFA is a method used to validate the dimension model by examining the relationships between observed indicators and their underlying constructs. A systematic questionnaire with a Likert scale rating was used to collect data from 600 populations. The measurement model assessed the validity and reliability of latent constructs, while the structural model analyzed the relationship between constructs based on the proposed hypotheses. The structural model revealed that DI, LS, and ADT are positively connected to the DTP, and OG, between digital innovations on organizational growth. (β = 0.58,0.54,0.60 and 0.62,p &lt; 0.05), providing well support for hypotheses 1, 2, 4, and 5. The SEM and CFA confirm the robustness of these relationships. The findings underscore the critical role of digital infrastructure and leadership in driving effective digital practices and fostering growth.

A Delphi Panel Study for Public Education about Vascularized Composite Allograft Donation in the United States.

Introduction: Improving public awareness about the opportunity to become a vascularized composite allograft (VCA) donor is crucial to increasing access to organs. Prior research identified a need for comprehensive and comprehensible public education materials. A 2-round Delphi panel was conducted to garner US expert consensus on the topics and language to include in public education materials via an organ procurement organization-hosted website. Methods: The round 1 survey assessed the importance of educational topics and statements (n = 19) using 5-point Likert scales. The round 2 survey asked experts to rate new and repeated educational topics (n = 27). Open-ended comment boxes elicited experts' feedback and language revisions for educational statements. Responses were analyzed using descriptive statistics and rapid qualitative analysis. Findings: Eighteen experts responded to the round 1 survey and 15 to round 2. After round 2, 20 topics had mean (M) importance greater than neutral (M > 3.00) and were retained in the educational materials. The 5 most important topics by mean Likert ratings were: consent process for donation (M = 4.73), potential recipients (M = 4.73), most common vascularized composite organs transplanted (M = 4.47), purpose (M = 4.47), and definition (M = 4.47). Seven themes emerged from experts' open-ended comments about the importance and language of educational statements. Conclusions: Delphi panel findings identified expert-endorsed topics and educational statements for public education about vascularized composite organ donation via an educational website. Future research should assess the website's impact on public knowledge of VCA donation.

An Australian Community-Based Metabolic Dysfunction-Associated Steatotic Liver Disease Care Pathway for People with Type 2 Diabetes: Barriers and Considerations.

Although clinical guidelines endorse screening for metabolic dysfunction-associated steatotic liver disease (MASLD) with advanced fibrosis in people with type 2 diabetes (T2D), the feasibility of and barriers and considerations relevant to implementing this approach in the community remain unclear. Sequential adults with T2D attending selected community clinics during 2021-2023 were invited to receive a "liver health check" (n=543). A further 95 participants were referred directly from their general practitioner (GP) or self-referred to the study. A total of 302 participants underwent a point of care assessment of hepatic steatosis and stiffness (FibroScan) and were advised to see their GP to discuss the results. "Template" letters containing key results, their interpretation and advice about management of cardiometabolic risk, patient follow-up and referral criteria, were sent to participants' GPs. Referral to a tertiary liver clinic was advised in GP letters for 45 (15%) participants with an increased risk of clinically significant fibrosis (liver stiffness measurement ≥8), 15 participants with 'red flags' (eg splenomegaly, thrombocytopenia) and 2 with unsuccessful FibroScan examinations. A referral from GPs to the liver clinic was received for 27 (44%) of these 62 participants. Approximately 90% of GPs rated the "template" letters favourably on a Likert rating scale. The low rate of participation in the "liver health check" and liver clinic referral reflects a real-world scenario and may stem from societal under-recognition and engagement with MASLD, competing health priorities or under-appreciation of the link between liver fibrosis severity and mortality risk. Further studies need to address strategies to enhance participation in liver health assessments and determine their impact on liver-related morbidity/mortality and overall survival.

Assessment of factors influencing fuelwood utilization in Makurdi metropolis, Benue state, Nigeria

The study was conducted to assess the factors influencing the utilization of fuelwood in Makurdi metropolis due to the paucity of information on the factors in the area. Simple random sampling technique was used to select 125 people in 25 houses from five locations in the study area. Data for the study was obtained through a semi-structured questionnaire, interview, and personal observation. Field data was analyzed using descriptive, Likert scale rating and regression models. Results of analysis of field data show that seven tree species were utilized for fuelwood in the study area with Prosopis africana (34%) being the most preferred fuelwood spp utilized while Burkia africana (2.1%) was the least utilized fuelwood spp. The Multilinear regression model was selected as the best-fit model in explaining the factors influencing fuelwood utilization in the study area based on its high r2 value and low standard error estimated compared to the other three regression models. None of the socioeconomic variables investigated had a significant influence on fuelwood utilization (P &gt; 0.05). However, age, income, family size, unit price, and availability of the commodity positively influence fuelwood utilization in the study area. The socioeconomic factors were able to explain 67% of the variation in fuelwood utilization in Makurdi Metropolis. Fuelwood is highly utilized in the area. Therefore, the conservation of the preferred fuelwood tree species in community forests and agroforestry practices should be encouraged by the Government, Non-governmental organizations (NGOs), and private individuals to enhance the sustainability of the resource.

Perceptions of Prospective Physics Teachers on the Application of Statistics in Education

The Application of Statistics in Education (ASE) course is one of the courses attended by pre-service physics teachers to enable them deal with research data using statistical analysis. This study aims to analyse students' perceptions of the ASE material prior to attending the lectures. The research method employed is descriptive quantitative. The research sample consists of 37 students in the Physics Education study program who are taking the ASE course. Data were collected through the Student Perception towards Statistics Questionnaire (SPSQ) instrument, which comprises 40 statements with four Likert scale rating criteria: Strongly Agree, Agree, Disagree, and Strongly Disagree. The data were analysed using Rasch modeling, specifically Wright Map Analysis, to map participant perceptions, while the percentage agreement of participants was analysed based on four aspects of the SPSQ questionnaire. The results of the average percentage analysis of participants’ agreement for each aspect are: (1) attitude towards Statistics at 97.3%, categorized as very good, (2) the importance of Statistics in daily life and profession at 97.3%, categorized as very good, (3) the ability to process statistical data using data analytics tools at 37.84%, categorized as poor, and (4) the ability to apply Statistics in education at 8.8%, categorized as very poor. Furthermore, the Wright Map Analysis indicates that all participants had a favorable attitude and were eager to learn more about how statistics are implemented in education. They agreed that it is critical to master and be able to apply advanced statistics techniques in educational and research contexts.

Ferry Operators’ Perception on Influencing Factors of Ferry services in Lagos, Nigeria

Ferry operations and services are comprised of constituent factors that might be either simple or complex, depending on how they are regarded. Population density, frequency of service, fare, weather, operating cost and time, safety and cleanliness, and so on all play a role. This study aims to assess the factors which influence ferry operations and services in Lagos State with specific objectives to assess the socio-economic characteristics of the ferry operators; determine the level of supply of ferry by the operators; and identify the influencing factors of ferry ridership from Operators’ perspective. Primary and secondary data were source. However, a survey design method was deployed and used for the study. Trip survey was done daily; involved morning and evening traffic between 6:30 a.m. and 6:00 p.m. For boat/ferry operators, the sample size was 111. The data was analyzed using inferential and descriptive statistics; processed data from questionnaire results was evaluated hypothetically using the Pearson Chi-Square rule. The levels or ratings of supply factors were determined using a Likert rating scale. it was revealed that Ferry ridership is heavily influenced by operating time. Hypothesis tested revealed that ridership Fare does not have associative influence of the number of trips by the operators. The study concluded that supply determinants of ferry ridership and services contribute immensely to the level of ferry patronage and provisions. There is need to monitor irregularities that may crawl-into management and sustainability of water transport development in Lagos State and Nigeria as a whole.

Patient preferences for teleradiology services and remote image interpretation: An empirical study.

This study aims to examine patient preferences for teleradiology services and remote image interpretation. In this context, this study aims to address the following research questions: (i) How do patients perceive teleradiology services, focusing specifically on comfort, quality of care and satisfaction, communication and information, and accessibility and ease of use; (ii) How do patient demographics (age, gender, urban vs. rural residence) influence the perceptions on teleradiology services? A cross-sectional survey design is adopted in this study. The survey comprises five sections targeting demographic information, comfort, and preferences regarding remote image interpretation, perceived quality of care and satisfaction, communication and information clarity, and accessibility and technology aspects using five-point Likert scale ratings. A total of 406 patients (209 males and 197 females; 170 urban residents; 174 semi-urban residents, and 62 rural residents) using teleradiology services participated in the study. Participants reported high satisfaction with remote image interpretation (3.78 ± 1.19), quality of care (3.31 ± 1.19), understanding (3.84 ± 1.43), and user-friendliness (3.67 ± 1.29). Key issues were technical problems (3.81 ± 1.35), feedback difficulties (3.19 ± 1.58), privacy concerns (2.43 ± 1.46), and low awareness (2.37 ± 1.12). Urban participants scored significantly better in comfort, preferences, and communication than those from semi-urban and rural areas. Teleradiology design and implementation should be optimized to align with patient preferences and enhance overall satisfaction.