Statistical Inference Research Articles

Guardian Knowledge in Primary Congenital Glaucoma: A Cross-Sectional Study

Précis: Guardian education level and frequency of surgical interventions are key determinants of knowledge in primary congenital glaucoma, highlighting the need for targeted educational strategies. Background: Management of congenital glaucoma poses unique challenges, particularly concerning the patient guardians’ understanding of the condition, which is crucial for treatment adherence and follow-up compliance. This study aimed to assess guardians’ knowledge levels and identify the influencing factors. Methods: This cross-sectional study included 103 guardians of pediatric patients with PCG. Participants with missing data were excluded from the study. The participants were assessed using a 20-question survey covering various aspects of glaucoma. Descriptive and inferential statistics were used for analysis. Results: The sample included 96 guardians, primarily females (80.2%). The children’s ages varied significantly, averaging approximately 44 months (SD = 39.8). The guardians predominantly had secondary education (34.4%) and most were housewives (77.1%). There was a positive correlation between higher education levels and the overall knowledge score of guardians (P = 0.006). Similarly, the guardian’s locality showed a positive correlation with knowledge scores, with urban guardians having higher scores than rural guardians. Additionally, there was a positive correlation between the number of surgical operations performed on the child and the guardians’ knowledge. For the subtotals, variables such as the child order among siblings and age of the child showed significant positive correlations, emphasizing the multifaceted influences on guardians’ understanding. In the multivariate analysis, the guardian’s education level showed a significant positive correlation for the Overall Score, as did the number of operations performed on the patient. Conclusions: The study revealed gaps in guardian knowledge, irrespective of educational level or other demographic factors. Guardians’ education level and the number of operations performed on the child are critical determinants of guardians’ understanding of congenital glaucoma. Traditional approaches to educational interventions may require re-evaluation, and there is a pressing need for targeted educational interventions.

Role of Cooperative Leadership in Driving Technological Innovation for Sustainable Solutions

This paper examines the critical role of leadership in fostering technological innovation within cooperatives, drawing from multiple recent studies across diverse sectors. The researcher set to determine the role of cooperative leadership in driving technological innovation and to evaluate how such leadership can facilitate the development and implementation of sustainable solutions within cooperative organizations. Descriptive survey research design was adopted for the study. To guide this study, research questions and hypothesis were formulated in line with the objectives of the study. The study was anchored on Diffusion of Innovations (DOI) Theory because of its relatedness. The instrument for data collection was a structured questionnaire. The sample size of the study was 150 selected cooperative leaders, cooperative members and external stakeholders in Awka South Local Government. Data collected were analyzed using both quantitative and qualitative methods. Inferential statistics such as chi-square tests was used to test the hypotheses. The findings revealed that there is a 5 % significant effect between strategic Cooperative leadership and technological innovation that can foster sustainable solutions within the Cooperative organization with a critical value of 5.991. The study therefore, recommends that cooperatives can strengthen their leadership capabilities, adopt innovative technologies, and achieve sustainable growth while remaining aligned with their core values.

Bridging theory and data: A computational workflow for cultural evolution

Cultural evolution applies evolutionary concepts and tools to explain the change of culture over time. Despite advances in both theoretical and empirical methods, the connections between cultural evolutionary theory and evidence are often vague, limiting progress. Theoretical models influence empirical research but rarely guide data collection and analysis in logical and transparent ways. Theoretical models themselves are often too abstract to apply to specific empirical contexts and guide statistical inference. To help bridge this gap, we outline a quality-assurance computational workflow that starts from generative models of empirical phenomena and logically connects statistical estimates to both theory and real-world explanatory goals. We emphasize and demonstrate validation of the workflow using synthetic data. Using the interplay between conformity, migration, and cultural diversity as a case study, we present coded and repeatable examples of directed acyclic graphs, tailored agent-based simulations, a probabilistic transmission model for longitudinal data, and an approximate Bayesian computation model for cross-sectional data. We discuss the assumptions, opportunities, and pitfalls of different approaches to generative modeling and show how each can be used to improve data analysis depending on the structure of available data and the depth of theoretical understanding. Throughout, we highlight the significance of ethnography and of collecting basic cultural and demographic information about study populations and call for more emphasis on logical and theory-driven workflows as part of science reform.

Investigating the role of the principal's individualized consideration and intellectual stimulation in shaping the academic performance of students in the secondary schools of Sidama Region, Ethiopia

The study sought to investigate the principal's perceptions and actions regarding individualized consideration and intellectual stimulation and their implications for students' academic progress. The study was guided by the following research question: How do school principals' transformational leadership strategies improve students' academic progress in Ethiopia's Sidama region? The study used a convergent parallel mixed research design. The data collection strategy was sound, with a modified questionnaire based on the MLQ used in the quantitative phase and an open-ended semi-structured interview in the qualitative phase. The study's dependent variable was student academic performance, while the independent variable was transformational leadership's individualized consideration (IC) and intellectual stimulation (IS) behaviors. The study's target participants were 95 principals and 5956 teachers. The survey used an appropriate sample approach, with 362 teachers and 91 principals from 24 public secondary schools. The qualitative phase involved ten principals and twenty teachers. The acquired data was analyzed using descriptive and inferential statistics. The study found that principals comprehend and practice transformational leadership behaviors. The study also revealed that the principal's individualized consideration and intellectual stimulation practices significantly impacted students' academic progress. The principal's self-assessment was r =.760 (p<.01), whereas the teachers' perception was r =.583 (p<.01).

Design of optimal concentrations for in vitro cytotoxicity experiments.

Concentration-dependent cytotoxicity experiments are frequently used in toxicology. Although it has been reported that an adequate choice of concentrations improves the quality of the statistical inference substantially, a recent literature review of three major toxicological journals has shown that the corresponding methods are rarely used in toxicological practice. In this study the performance of different sets of concentrations, also called designs, are analyzed, while the overall goal is to promote the advantages of optimal design procedures and to present a user-friendly guideline for planning new cytotoxicity concentration-response experiments. We compare the frequently used log-equidistant design to a Bayesian design, which is constructed by methods of optimum design theory. Using both a dense data set of concentration-cytotoxicity data of valproic acid (VPA) and regular assay data of 104 substances, the performance of the different designs is analyzed in two scenarios, where detailed previous knowledge on VPA is available or not. The results show that it is critical to apply a specific design strategy to determine optimal concentrations for cytotoxicity testing. In particular, the Bayesian design technique with and without incorporating pre-existing knowledge of a specific test substance resulted in a more precise statistical inference than the other used designs. Finally, we present a guideline for upcoming experiments and an accessible user-friendly Shiny app (see http://shiny.statistik.tu-dortmund.de:8080/app/occe ).

Prevalence and Determinants of Modern Contraceptive Use among Rohingya Women of Reproductive Age Residing in Refugee Camps in Bangladesh: A Cross-Sectional Survey

Background: Comprehensive studies on the determinants of modern contraceptive use in humanitarian settings are relatively uncommon in Bangladesh. The aim of this study was to examine the prevalence and determinants of modern contraceptive use among Rohingya women living in the refugee camp of Cox's Bazar, Bangladesh. Methods: A cross-sectional survey was conducted among 160 Rohingya refugee women aged 15-49 living in unregistered camps (Camps 7 and 14) in Ukhiya Upazila, Cox's Bazar. In the study, participants were selected using a convenience sampling method, and the sample size was calculated using the single population proportion formula. However, only 160 participants were recruited due to travel restrictions and safety measures implemented throughout Bangladesh during the COVID-19 pandemic. The data were gathered via a structured questionnaire. Results were summarized using both descriptive and inferential statistics and SPSS v.23 software was used for data analysis at 5% level of significance. Results: The prevalence of contraceptive use was found to be 41.9%. The most commonly used contraceptives were Injection Depot-Provera (65.7%) and Oral Contraceptive Pill (OCP) (28.4%) followed by implant (4.5%) and intrauterine device (IUD) (1.5%). Multivariate logistic regression revealed lower odds of modern contraceptive use among women who had more than a 1.5 year interval between the last two pregnancies (OR = 0.19; 95% CI = 0.07– 0.51) and higher odds were found who expressed a lack of desire for future pregnancies (OR = 13.69; 95% CI = 3.43–54.68). Community Health Workers (CHWs) (80.4%) were the main sources of information on modern contraceptives, whereas hospitals (83.6%) were the most accessible places to obtain contraceptives. Conclusion: Community health workers play a vital role in disseminating information, emphasizing the need for their training and involvement in relevant programs. These findings are crucial for shaping future research, policies, and reproductive health services in humanitarian settings.

The Effect of Virtual Laboratories on the Academic Achievement of Undergraduate Chemistry Students: Quasi-Experimental Study.

Experimentation is crucial in chemistry education as it links practical experience with theoretical concepts. However, practical chemistry courses typically rely on real laboratory experiments and often face challenges such as limited resources, equipment shortages, and logistical constraints in university settings. To address these challenges, computer-based laboratories have been introduced as a potential solution, offering electronic simulations that replicate real laboratory experiences. This study examines the effect of virtual laboratories on the academic achievement of undergraduate chemistry students and evaluates their potential as a viable alternative or complement to traditional laboratory-based instruction. A quasi-experimental design was implemented to examine the cause-and-effect relationship between instructional methods and student outcomes. The study involved 60 fourth-year BSc chemistry students from Dilla University, divided into 3 groups: a real laboratory group (n=20), which performed real laboratory experiments; a virtual group (n=20), which used virtual laboratory simulations; and a lecture group (n=20), which received lecture-based instruction. Quantitative data were collected through tests administered before and after the intervention to assess academic performance. The data analysis used descriptive and inferential statistics, such as means and SDs, 1-way ANOVA, the Tukey honestly significant difference test, and independent-sample t tests (2-tailed), with a P value of .05 set for determining statistical significance. Before the intervention, the results indicated no significant differences in academic achievement among the 3 groups (P=.99). However, after the intervention, notable differences were observed in student performance across the methods. The real laboratory group had the highest mean posttest score (mean 62.6, SD 10.7), followed by the virtual laboratory group (mean 55.5, SD 6.8) and the lecture-only group, which had the lowest mean score (mean 43.7, SD 11.5). ANOVA results confirmed significant differences between the groups (F2,57=18.429; P<.001). The Tukey post hoc test further revealed that the real laboratory group significantly outperformed the lecture-only group (mean difference 18.88; P<.001), while the virtual laboratory group also performed significantly better than the lecture-only group (mean difference 11.7; P=.001). However, no statistically significant difference was found between the real laboratory and virtual laboratory groups (mean difference 7.12; P=.07). In addition, gender did not significantly influence performance in the virtual laboratory group (P=.21), with no substantial difference in posttest scores between male and female students. These findings suggest that computer-based laboratories are a viable and effective alternative when real laboratories are unavailable, enhancing learning outcomes when compared with traditional lecture-based methods. Therefore, universities should consider integrating computer-based laboratories into their practical chemistry curricula to provide students with interactive and engaging learning experiences, especially when physical laboratories are inaccessible.

Transradial versus transfemoral access for mechanical thrombectomy: A single institution experience.

There has been debate in the literature regarding the adoption of a "radial-first" approach for mechanical thrombectomy (MT) in acute ischemic stroke (AIS). Conflicting reports suggest that transradial access (TRA) may allow for shorter times to reperfusion while others conclude that long-term functional outcomes may favor transfemoral access (TFA). Here, we report a single-institution experience with the adoption of TRA as the primary route for acute stroke intervention. We retrospectively reviewed a single-institution database of patients undergoing MT for AIS from March 2020 to April 2023. This time period was selected to capture the change in clinical practice at our institution from TFA to TRA. Primary and secondary outcomes included technical success, procedural complications, and long-term functional outcomes. Patients were stratified into two cohorts from initial access. Cohorts were compared utilizing inferential statistics. A total of 192 consecutive cases were identified, with 80 in the TFA cohort and 112 in the TRA cohort. There was no difference in outcomes with respect to time from puncture to recanalization, rates of successful recanalization (TICI ≥ 2b), number of passes, rates of symptomatic intracranial hemorrhage (sICH), modified Rankin scale (mRS) at discharge and 90 days, and 90-day mortality (p ≥ 0.05, all). The TRA had a higher rate of access conversion (p < 0.001), while the TFA cohort had a higher rate of access site complications (p < 0.05).

Improved estimation of the effective reproduction number with heterogeneous transmission rates and reporting delays.

In the face of an infectious disease, a key epidemiological measure is the basic reproduction number, which quantifies the average secondary infections caused by a single case in a susceptible population. In practice, the effective reproduction number, denoted as , is widely used to assess the transmissibility of the disease at a given time t. Real-time estimating this metric is vital for understanding and managing disease outbreaks. Traditional statistical inference often relies on two assumptions. One is that samples are assumed to be drawn from a homogeneous population distribution, neglecting significant variations in individual transmission rates. The other is the ideal case reporting assumption, disregarding time delays between infection and reporting. In this paper, we thoroughly investigate these critical factors and assess their impact on estimating . We first introduce negative binomial and Weibull distributions to characterize transmission rates and reporting delays, respectively, based on which observation and state equations are formulated. Then, we employ a Bayesian filtering for estimating . Finally, validation using synthetic and empirical data demonstrates a significant improvement in estimation accuracy compared to conventional methods that ignore these factors.

Statistical Inference of Uncertain Autoregressive Model via the Principle of Least Squares

In the study of uncertain autoregressive models, how to estimate the unknown parameters and uncertain disturbance term in the models is always a key problem. In view of this, this paper proposes a statistical inference method based on the principle of least squares to determine the unknown parameters and uncertain disturbance term in an uncertain autoregressive model, and designs a numerical algorithm to calculate the numerical solutions of the corresponding estimators. Then, the uncertain hypothesis test is used to verify the applicability of the estimated uncertain autoregressive model, and point forecast and interval forecast are also made for the time series of future moments. Finally, a case study of the Consumer Price Index for all items in U.S. cities is provided to illustrate the effectiveness of the approach proposed in this paper.

Statistical inference for lindley random walks with correlated increments

This paper studies statistical inference for a Lindley random walk model when the increment process driving the walk is strictly stationary. Lindley random walks govern customer waiting times in many queueing models and several natural and business processes, including snow depths, frozen soil depths, inventory quantities, etc. The probabilistic properties of a Lindley walk with time-correlated stationary changes are first reviewed. We provide a streamlined argument that the process has a proper limiting distribution when the mean of the incremental changes is negative, and that the Lindley process is strictly stationary when starting from this stationary distribution. Next, the Markov characteristics of the process are explored when the change process has a Markov structure of first or higher order. A derivation of the model's likelihood is given when the change process is a Gaussian autoregressive time series. An efficient particle filtering method for evaluating and optimizing the likelihood with Gaussian changes is then devised and studied via simulation.

Mathematical Formalization and Applications to Data with Excess of Zeros and Ones of the Unit-Proportional Hazard Inflated Models

In this study, we model the rate or proportion of a specific phenomenon using a set of known covariates. To fit the regression model, which explains the phenomenon within the intervals (0,1), [0,1), (0,1], or [0,1], we employ a logit link function. This approach ensures that the model’s predictions remain within the appropriate range of zero to one. In cases of inflation at zero, one, or both, the logit link function is similarly applied to model the dichotomous Bernoulli-type variable with a multinomial response. The findings demonstrate that the model yields a non-singular information matrix, ensuring valid statistical inference. This ensures the invertibility of the information matrix, allowing for hypothesis testing based on likelihood statistics regarding the parameters in the model. This is not possible with other asymmetric models, such as those derived from the skew-normal distribution, which has a singular information matrix at the boundary of the skewness parameter. Finally, empirical results show the model’s effectiveness in analyzing proportion data with inflation at zero and one, proving its robustness and practicality for analyzing bounded data in various fields of research.

Logistics Management and Service Delivery in Humanitarian Organisations in Kenya: A Case Study of Kenya Red Cross Society

The goal was to assess the effects of supplier management and information management on the KRCS’s service delivery. Goal-Setting Theory is the main theory, supported by resource-based view and institutional theory. The study targeted a population of 300 individuals using a descriptive research approach. A total of 171 individuals were chosen for the sample size using stratified random sampling. Data was acquired by means of surveys. Basic statistics were used to assess the quantitative data, and SPSS version 27 was used for data analysis. Tables were used to display the data. Inferential statistics were used to illustrate the link between the variables. Throughout the course of the study, the research investigation was guided by a few ethical criteria. The R2 values for the relationship between supplier management and service delivery were 0.642, indicating a positive association, and 0.499, suggesting that changes in supplier management may account for 49.9% of the variation in service delivery. fundamental correlation between service delivery and information management (R = 0.595), with an R2 value of 0.431, while the DV was service delivery. To ensure successful logistics management and service delivery, KRCS should improve supplier management and service delivery, which is necessary, and that they can balance organizational goals and priorities with the supplier's perspective on challenges. This will improve the efficiency and effectiveness of the processes that the KRCS and communities in need of support use. KRCS service delivery can be increased by using auto- technologies. Independent variable technologies are welcomed since they will make product marking more accurate and efficient, which will improve operations.

Evaluation of effect of person role fitness on mastery of soft skills among interns in Nakuru County Government, Kenya

This study aimed to evaluate the effect of person role fitness on mastery of soft skills among interns in Nakuru County Government, Kenya. The curriculum that most college graduates are exposed to largely offer hard skills, but important soft skills that would make them well-prepared for the work environment are lacking. The study used a descriptive research design. The study's population consisted of 1300 interns stationed at the Nakuru County Government during the month of August. A stratified random selection technique was employed to choose a sample of 102 interns, and data was collected using a structured self-administered questionnaire. Statistical Package for Social Sciences was used to examine the data and obtain both descriptive and inferential statistics. Pearson's product-moment correlation was used as an inferential statistic to determine the direction and strength of linear associations. Simple and multiple regression analyses were employed to assess the relationship between the variables. The study indicated that person role fitness substantially affected soft skills proficiency in Nakuru County Government (? = 1.139, Sig. &lt; 0.05). Thus, it was concluded that person role fitness is a significant factor of internship, which affects soft skills mastery among interns in the county. The study recommends that colleges operate in conjunction with the organisations or industries where the students are sent for their internship programs to ensure that the interns are well placed as per their professions in order to enhance soft skills mastery among the interns, as was evidenced by Nakuru County Government, Kenya.

Psychosocial predictors of attitude toward premarital sexual practice among university students, Ethiopia

ObjectivesPremarital sexual practice during adolescence may lead to different sexual and reproductive health problems, including HIV/AIDS. The objective of this study was to assess psychosocial predictors of attitudes toward premarital sex among Bahir Dar University students.MethodsA correlational design was used. A multi-stage sampling technique was used to select 375 respondents for the study, although the analysis was based on the 361 questionnaires that were returned from the field and found useful for analysis. Data was collected using a self-developed and modified instrument on standardized scales. The internal consistency of the Perception of Peer Pressure Scale was 0.83, while the self-esteem measuring scale had a reliability of 0.77. The internal consistency of the sexual attitude inventory scale was 0.97. The data were quantitatively analyzed using (inferential statistics) logistic regression, one sample t test, and an independent sample t test.ResultsThe findings of the study showed that all the psychological variables investigated were found to significantly predict premarital sexual relationships among the respondents. Male students with the experience of premarital sex have a higher level of self-esteem and exposure to peer pressure than their female counterparts. A study suggests that male students with the experience of premarital sex have a higher level of self-esteem and exposure to peer pressure than their female counterparts. Self-esteem negatively predicted attitudes toward premarital sex.ConclusionScaling up the level of school counseling, especially in the area of sexual adjustment and modification of the psychological variables investigated, was recommended.

Influence of Emerging Trends in Human Resource Management on Employee Performance of Nandi County Government, Nandi County, Kenya

There has been a rise of many emerging trends and issues in all sectors and organizations globally, and the human resource management field was not an exception. Therefore, this study sought to establish the influence of emerging trends in human resource management on employee performance within the Nandi County Government. The study was guided by the following objectives: to assess the influence of professional development and to determine the influence of information technology on employee performance. The findings of the study would enable the county government to understand how emerging trends influenced the performance of their employees and served as a reference point for prospective researchers. The study was anchored on the theory of performance and resource-based theory. It adopted both quantitative and qualitative research approaches. The study design was descriptive research design, and the target population was 222. The sampling adopted included stratified and simple random sampling techniques. The sample size of the study was 143, determined using the Yamane method. Structured questionnaires and interview guides were used to collect data, which were analyzed through descriptive and inferential statistics, including mean, standard deviation, and linear regression. The analyzed data were presented in tables, charts, and graphs. The study found that professional development emerged as a significant influencer, with a coefficient of 0.402 and a standardized coefficient of 0.421, suggesting a positive influence on employee performance through investments in professional growth. This influence is supported by a high t-value of 4.612 and a p-value of .000. Information technology similarly demonstrates a notable influence, with a coefficient of 0.383 and a standardized coefficient of 0.392. The statistical significance is reinforced by a t-value of 3.286 and a p-value of .000. The study concluded that employees perceived training programs related to the management information system positively. Further, the study concluded that there is a strong commitment among employees to pursue higher academic qualifications, indicating a culture of continuous learning within the Nandi County Government. The study recommended that comprehensive continuous learning programs be developed and implemented to encourage and support employees in pursuing higher academic qualifications and professional certifications. It also recommended that customized managerial training programs should be created to align with the specific competencies needed in the Nandi County Government Enhancing the IT infrastructure and accessibility in the County Government.

Designing and evaluating ECG interpretation software for undergraduate nursing students in Iran: a non-equivalent control group pretest-posttest design.

It is essential for nurses to interpret electrocardiograms accurately in cardiac care and emergency departments. Despite rigorous training, nursing students frequently encounter challenges in mastering electrocardiogram interpretation. The purpose of our study was to evaluate the effectiveness of an electrocardiogram interpretation software specifically designed for Iranian nursing students enrolled in undergraduate programs. A nonequivalent control group pretest-posttest design was conducted at Ramsar University of Medical Sciences in 2020. Using the census sampling method, 75 nursing students from the two educational hospitals were recruited. Participants were divided into two intervention groups and a control group according to their rotations at their respective hospitals. The software contains evidence-based guidelines, interactive learning modules, practice exercises, and real-life examples. Statistical analyses, including chi-square tests and t tests, were conducted using descriptive and inferential statistics. A comparison of the two groups according to demographic characteristics, such as sex, age, was not statistically significant (p > 0.05). The knowledge and skills of the individuals in the control group significantly improved in comparison to those before the intervention. The use of software enhanced students' ability to interpret electrocardiograms. Moreover, there was no statistically significant difference between the intervention and control groups in terms of knowledge and skills of electrocardiogram interpretation. Nursing students reported higher levels of satisfaction after using the software. Moreover, undergraduate nursing students were able to learn more using electrocardiogram interpretation software combined with traditional teaching methods. Combining these two methods in a blended learning approach can improve learning. This software can be integrated into nursing curricula to assist nursing students in interpreting electrocardiograms.

Relation of CXCL10 and CXCR3 Gene Polymorphisms with COVID-19 Severity and its Serum Biochemical Markers

CXCL10 (rs201830102) is a chemokine involved in immune cell recruitment, while its receptor, CXCR3 (rs779120264), mediates immune responses through the activation of T cells. These genes are critical in the immune response to viral infections, including COVID-19. The study aimed to explore the relationship between polymorphisms in the CXCL10 gene and CXCR3 receptor with disease severity in COVID-19 patients. In this cross-sectional analytical study, 100 COVID-19 patients were enrolled after ethical approval, and written informed consent was obtained from each participant. Polymorphisms in CXCL10 and CXCR3 were analyzed by sequencing, while biochemical and hematological parameters were assessed using appropriate methods. Descriptive and inferential statistics were employed to analyze continuous and categorical data. Significant associations were observed between severe COVID-19 cases and elevated levels of serum D-dimer, ferritin, random blood sugar (RBS), neutrophils, and erythrocyte sedimentation rate (ESR), along with reduced hemoglobin levels. Lymphocyte and platelet counts were significantly lower with increased disease severity. The wild genotype of CXCL10 was notably associated with elevated ferritin levels, suggesting that certain gene variants may offer protective effects. However, no significant correlation was found between CXCR3 and CXCL10 polymorphisms and other serum biomarkers. Our study confirmed a significant rise in serum D-dimer, ferritin, RBS, neutrophils, and ESR, along with a reduction in hemoglobin, lymphocyte, and platelet counts in severe COVID-19 cases compared to mild ones. Notably, mutations in the CXCL10 gene were linked to less severe COVID-19 outcomes.

Public acceptance of coercive measures in Nigerian mental health care.

For the first time, Nigeria has enacted a new mental health law that regulates the use of coercive measures in mental health care. The study aimed to investigate the extent to which the Nigerian public accepts the use of coercive measures in the treatment of people with mental health conditions and to understand the impact of stigma and other sociodemographic characteristics. A cross-sectional survey was conducted among 615 adult respondents from Nigeria's six geopolitical zones. The study instrument included a case-specific vignette, a social distance scale, and a brief sociodemographic form. Descriptive and inferential statistics were conducted with SPSS v.25 software. More than half of the study respondents agreed that the vignette character should be forced to go to the hospital if he refuses to go (65%, n = 400), and he should be forced to take medications at the psychiatric hospital (55.1%, n = 339). The least accepted coercive measure was Isolation (28.8%, n = 177). There were significant associations between social distance and the acceptance of involuntary admissions, forced medication, mechanical restraints, and isolation (p < .05). Social distance score was highest among respondents who agreed that the vignette character should be isolated (24.023 ± 5.503; F = 24.672, p < .001). The study highlights variations in public attitudes toward coercive psychiatric measures, within the Nigerian context compared to other countries. The lower acceptance rates for isolation as a coercive measure underscore the cultural importance of social interaction in Nigeria. The relatively recent implementation of Nigeria's Mental Health Act also suggests a potential gap in public knowledge regarding the criteria for coercive measures. Future research should aim to include diverse populations and consider longitudinal approaches to assess changes in public attitudes as awareness of mental health legislation increases.

Physiotherapists’ knowledge, attitude and practice of clinical prediction rules in low-back pain

Abstract Background and aim Clinical prediction rules (CPRs) are mathematical tools that are intended to guide clinicians in clinical decision making or predict a future outcome, but they seem rather unknown, under-utilized, or avoided by clinicians. This study aimed to assess knowledge, attitude, and practice of CPRs in low-back pain (LBP) among physiotherapists. Methods A cross-sectional study involving 45 consenting specialist musculoskeletal physiotherapists from three public-funded teaching hospitals in Nigeria was carried out. An adapted validated questionnaire on facilitators and barriers to CPRs utilization, and a socio-demographic proforma were used to collect data. Descriptive and inferential statistics were employed to analyze data. Alpha level was set at p &lt; 0.05. Results Respondents were mostly males (71.1%), married (64.4%) and first-degree holders (55.6%). Twenty-eight (62.2%) of the respondents had above-average knowledge of CPRs in LBP. Rates for positive attitude towards, and utilization of CPRs were 37.8% and 15.6%. Knowledge and attitude about CPRs in LBP were not significantly influenced by socio-demographic factors (p &gt; 0.05). However, there was a significant association between the utilization of CPRs and years of experience (χ2 = 10.339 p = 0.016). Conclusion Most Nigerian physiotherapists had above-average knowledge, but a negative attitude and low utilization of CPRs in LBP. Clinicians’ years of clinical experience influence the usage of CPR. There is a need to incorporate training in CPRs into undergraduate and continuous professional development programmes.