Quality Of Information Research Articles

Online interest in ADHD predicts ADHD medication prescriptions in Australia from 2004 to 2023: A time-series analysis revealing COVID-19-related acceleration.

Attention-deficit hyperactivity disorder (ADHD) medication prescriptions in Australia have grown sharply in recent years. We examined the association between online interest in ADHD and prescriptions. Monthly Pharmaceutical Benefits Scheme (PBS) and Repatriation PBS (RPBS) Item Reports of ADHD prescriptions and Australian ADHD-related Google Trends (GT) data (2004-2023) were sourced. We modelled the lagged effect of GT on ADHD medication prescriptions, using an autoregressive moving average model with autoregressive conditional heteroskedasticity, adjusting for COVID-19 lockdown effects. Results were compared to a model of GT for pain-related searches and PBS/RPBS opioid prescriptions, and counterfactual alternatives: (1) ADHD-related GT and opioid prescriptions and (2) pain-related GT and ADHD prescriptions. We descriptively analysed additional ADHD-related online news data. Annual prescriptions doubled from 1,424,904 in 2020 to 3,112,072 in 2023. ADHD medication prescriptions and ADHD-related GT considerably increased since the COVID-19 pandemic. GT had a statistically significant positive lagged association with ADHD prescriptions. Comparator models did not show statistically significant associations between GT and prescriptions. Online news data supported recently increased public interest in ADHD. ADHD-related online interest predicts increased ADHD prescriptions, which was accentuated during the pandemic. Studies are needed to evaluate causal pathways, health information quality and sociodemographic determinants.

Factors Impacting Undergraduate’s Satisfaction and Continuance Intention to Use Online Courses in Chengdu, China

Background and Aim: During the COVID-19 pandemic in China, the adoption of online education for college students uncovered various benefits and challenges, reflecting a distinct set of circumstances shaped by the global health crisis. This study aimed to evaluate the impact of pivotal factors—including learning involvement, validation, informational quality, system excellence, service standard, and user contentment on the overall assessment, and affect college students' commitment to ongoing participation in online courses. Materials and Methods: This study adopted a quantitative approach, collecting data through questionnaires distributed among the targeted demographic. To validate the hypotheses and analyze the data, A variety of methods were utilized, including the Index of Item–item-objective congruence (IOC) assessment, a preliminary study, Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Results: The results indicated that every component—engagement, confirmation, information quality, system quality, service quality, and satisfaction—had a positive impact on students' intention to continue with online courses, either directly or through mediating variables. Remarkably, satisfaction emerged as the most influential factor driving the desire to continue using online educational platforms. Conclusion: To enhance college students' ongoing engagement with online courses, efforts should concentrate on elevating aspects such as learning engagement, confirmation, information quality, system quality, and service quality.

Communicating cancer treatment with pictogram-based timeline visualizations.

This study evaluated the legibility, comprehension, and clinical usability of visual timelines for communicating cancer treatment paths. We examined how these visual aids enhance participants' and patients' understanding of their treatment plans. The study included 2 online surveys and 1 in-person survey with hematology cancer patients. The online surveys involved 306 and 160 participants, respectively, while the clinical evaluation included 30 patients (11 re-surveyed) and 24 medical doctors. Participants were assessed on their ability to understand treatment paths provided with audio information alone or with visual aids. The study also evaluated the comprehensibility of key treatment terms and the ability of patients to recall their cancer treatment paths. Visual representations effectively communicated treatment terms, with 7 out of 8 terms achieving over 85% transparency as pictograms, compared to 5 out of 8 for comics and 4 out of 8 for photos. Visual treatment timelines improved the proportion of correct responses, increased confidence, and were rated higher in information quality than audio-only information. In the clinical evaluation, patients showed good comprehension (mean proportion correct: 0.82) and recall (mean proportion correct: 0.71 after several weeks), and both patients and physicians found the visual aids helpful. We discuss that visual timelines enhance patient comprehension and confidence in cancer communication. We also discuss limitations of the online surveys and clinical evaluation. The importance of accessible visual aids in patient consultations is emphasized, with potential benefits for diverse patient populations. Visual aids in the form of treatment timelines improve the legibility and comprehension of cancer treatment paths. Both patients and physicians support integrating these tools into cancer treatment communication.

Can digital transformation decrease the debt concentration?

AbstractDigital transformation affects a firm's financial decisions. This study examines the relationship between digital transformation and debt concentration. Higher‐level corporate digital transformation significantly decreases debt concentration (i.e., firms prefer to choose multiple debt types). Moreover, this relationship is more pronounced for firms with lower accounting information quality, higher default risk, and higher bankruptcy costs. Additional analyses reveal that digital and institutional environments affect the relationship between digital transformation and debt concentration. This study contributes to existing literature by showing the impact of the integration of digital technology on firms' debt structures and the economy.

Electronic Patient-Reported Outcome System Implementation in Outpatient Cardiovascular Care

The integration of patient-reported outcome (PRO) assessments in cardiovascular care has encountered considerable obstacles despite their established clinical relevance. To assess the impact of a physician- and patient-friendly electronic PRO (ePRO) monitoring system on the quality of cardiovascular care in clinical practice. This open-label, multicenter, pilot randomized clinical trial was phase 2 of a multiphase study that was conducted from October 2022 to October 2023 and focused on the implementation and evaluation of an ePRO monitoring system in outpatient clinics in Japan. During phase 1 (conducted from December 2021 to March 2022), this ePRO monitoring system was developed at a single outpatient center using feedback from patients and physicians. Eligible patients were older than 18 years with a clinical diagnosis of heart failure (HF), atrial fibrillation (AF), or coronary artery disease (CAD). Participants were randomly assigned 1:1 to either the ePRO or control group. Statistical analysis was based on the intention-to-treat approach. Patients in the ePRO group were asked to complete the 12-item Kansas City Cardiomyopathy Questionnaire (KCCQ-12), Atrial Fibrillation Effect on Quality-of-Life Questionnaire (AFEQT), or Seattle Angina Questionnaire (SAQ) on smart tablets before their clinical examination. Results were reviewed by physicians at each outpatient visit. The control group received usual care consisting of medication management, lifestyle modification, and invasive procedures in accordance with clinical guidelines. Both groups had 5 monthly outpatient visits. Patient satisfaction, quality of information (QOI) provided by physicians, and disease knowledge were assessed using questionnaires (eg, Patient Satisfaction Questionnaire [PSQ]; score range: 5-25, with higher scores indicating greater patient satisfaction) at baseline and the fifth visit, over approximately 4 months. Of the 50 patients included, 48 (median [SD] age, 71.0 [62.3-75.0] years; 28 males [58.3%]) completed follow-up. The prevalence was 56.2% (n = 27) for HF, 75.0% (n = 36) for AF, and 10.4% (n = 5) for CAD. The distribution of PRO measures used was 21 patients (43.8%) for KCCQ-12, 24 (50.0%) for AFEQT, and 3 (6.2%) for SAQ. Compared with the control group, the ePRO group showed significant improvements in mean (SD) PSQ score (0.16 [2.06] vs 1.61 [1.75]; P = .01) and QOI score regarding treatment (-0.12 [0.53] vs 0.35 [0.71]; P = .01). The ePRO group exhibited a greater increase in the PSQ score regarding communication (-0.12 [0.53] vs 0.43 [0.90]; P = .01). In this randomized clinical trial, implementation of the ePRO monitoring system significantly enhanced patient-physician communication and the clarity of physicians' explanations about treatment. These findings suggest that the ePRO monitoring system is capable of supporting patient-centered cardiovascular care. University Hospital Medical Information Network Identifier: UMIN000049251.

Evaluation of Integrated Business Licensing System in Indonesia Using HOT-fit Model

Purpose: In an increasingly interconnected global economy, there is a growing recognition among governments of the importance of fostering an environment for businesses to thrive. Indonesia has introduced an integrated business licensing system that centralizes and automates the licensing and permitting processes, simplifying the journey for entrepreneurs, business owners, and government agencies. To multiply the benefits and effectiveness of the system, the government must assess the system to establish a firm basis for its ongoing advancement and enhancement. Methods: The evaluation of integrated business licensing system was conducted using the HOT-fit framework with the perspective of government agencies. Their involvement is crucial for effective licensing and supervision processes. Data was gathered through questionnaires and analyzed using the PLS-SEM method. Result: The findings revealed that system quality and service quality significantly influenced user satisfaction, whereas information quality, user satisfaction, organizational structure, and organizational environment positively impacted system usage. The results also showed that system usage and user satisfaction influenced net benefit. These results can be used to improve the system to match the government agencies’ expectations. Novelty: The novelty of this study lies in its research object which is an integrated system. This research provides insights for targeted improvements in technological, organizational, and human aspects of integrated system implementation.

Integrating a multi-dimensional deep convolutional neural network with optimized sample selection for landslide susceptibility assessment

ABSTRACT To address the errors of negative samples in landslide susceptibility modeling and traditional methods in exploring the regularities hidden in the evaluation factors, this paper proposes a stacking one- and three-dimensional Convolutional Neural Network (Stacking-1D-3D-CNN) landslide susceptibility assessment method considering sample optimization selection. First, in order to select negative samples rationally, this paper adopts the Relative Frequency Ratio combined with Certainty Factor Method (RFR-CFM) to determine the negative samples; secondly, the Stacking-1D-3D-CNN proposed is combined with RFR-CFM for the first time for landslide susceptibility assessment. In this work, the negative samples determined by RFR-CFM and the Information Quality Model (IQM) were combined with historical disaster points to form a total modeling sample, and modeled at different ratios. Finally, it is compared with several other models in terms of the landslide hazard susceptibility zoning results, prone zone statistics, and model performance. The findings show that the degree of spatial aggregation of training samples and testing samples has a much greater impact on the accuracy of landslide susceptibility modeling than the impact of their proportions. Furthermore, compared with other models, RFR-CFM-Stacking-1D-3D-CNN has the highest AUC value, precision, recall, F-score, and accuracy, which are 0.95, 0.83, 0.89, 0.85, and 84.76%, respectively, and the lowest RMSE and MAE, 0.39 and 0.15, respectively. This proves the RFR-CFM sample selection method’s rationality and the Stacking-1D-3D-CNN model’s effectiveness.

Cochlear Implant Electrode Placement and Music Perception

Cochlear implants enable improvements in speech perception, but music perception outcomes remain variable. Image-guided cochlear implant programming has emerged as a potential programming strategy for increasing the quality of spectral information delivered through the cochlear implant to improve outcomes. To perform 2 experiments, the first of which modeled the variance in music perception scores as a function of electrode positioning factors, and the second of which evaluated image-guided cochlear implant programming as a strategy to improve music perception with a cochlear implant. This single-center, prospective study recruited 50 adult patients with at least 6 months of cochlear implant listening experience and normal cochlear anatomy to participate in experiment 1 from 2013 to 2023. Data analysis was conducted from January to February 2024. Thirty-four of the 50 patients from experiment 1 also completed experiment 2. Cochlear implant programming using a computed tomography-guided electrode selection strategy. University of Washington Clinical Assessment of Music score, including subtests of pitch discrimination thresholds, isochronous familiar melody recognition, and timbre recognition. Of 50 participants, 20 (40%) were female, and the mean (SD) age was 57.7 (16.4) years. Experiment 1 suggested that better music perception abilities in the 50 participants were associated with patients who were younger and had a postlingual onset of deafness, as well as electrode arrays with a full scala tympani insertion, higher modiolar distance, and shallower insertion depth. Experiment 2 suggested improvements in melody recognition in the 34 participants using the image-guided cochlear implant programming strategy. Patients with apical electrodes that were deactivated were more likely to demonstrate an improvement in their pitch perception thresholds with the image-guided strategy, likely due to the low-frequency stimuli used in the University of Washington Clinical Assessment of Music. This study identified patient and device factors that were associated with music perception outcomes with a cochlear implant. These findings suggest that a personalized, image-guided approach to programming may improve music perception abilities for patients with cochlear implants.

The Significance of Information Quality for the Secondary Use of the Information in the National Healthcare Quality Registers in Finland.

Background The aim of the national healthcare quality registers is to monitor, assess, and improve the quality of care. The information utilized in quality registers must be of high quality to ensure that the information produced by the registers is reliable and useful. In Finland, one of the key sources of information for the quality registers is the national Kanta services. Objectives The objective of the study was to increase understanding of the significance of information quality for the secondary use of the information in the national healthcare quality registers and to provide information on whether the information quality of the national Kanta services supports the information needs of the national quality registers, and how information quality should be developed. Methods The research data was collected by interviewing six experts responsible for national healthcare quality registers, and it was analyzed using theory-driven qualitative content analysis based on the DeLone and McLean model. Results Based on the results, the relevance of the information in the Kanta services met the information needs of the national quality registers. However, due to the limited amount of structured information and deficiencies in the completeness of the information, relevant information could not be fully utilized. Deficiencies in information quality posed challenges in information retrieval and hindered drawing conclusions in reporting. Challenges in information quality did not diminish the intention to use the information when information was considered relevant. Solutions to improve information quality included structuring, development of documentation practices, patient information systems and quality assurance, as well as collaboration among stakeholders. Conclusions The Kanta services' information is relevant for the national healthcare quality registers, but developing the quality of the information, especially in terms of structures and completeness, is the key to fully enabling the secondary use of this information.

Vaccine hesitancy among health paraprofessionals: A mixed methods study.

The World Health Organization (WHO) defines vaccine hesitancy as "a delay in acceptance or refusal of vaccines despite availability of vaccination services". Vaccine hesitancy has also been declared a top threat to global health. Some employers imposed vaccine mandates during the Covid-19 pandemic resulting in health care employees resigning or being fired rather than receive a vaccine. Healthcare paraprofessionals such as certified nursing assistants, dietary and home health aides are among the most patient facing of all health care providers. Their beliefs and attitudes about vaccines are critical to how they communicate about vaccines with their patients. The objective of this project was to survey health care paraprofessionals to explore their thoughts and opinions about vaccines in general, and Covid-19 vaccines specifically. This was a 25 question, mixed methods, cross sectional email survey. Subjects were recruited from the mailing list of a non-profit organization in the Midwest. This organization is dedicated to bringing a face and a voice to healthcare paraprofessionals engaged in direct patient care. Most respondents were reasonably well informed about vaccines; had received one or more doses of indicated vaccines; used credible resources to learn about vaccines and believed physicians and pharmacists were the most trusted information sources. Qualitative results indicated that respondents expressed support for vaccines but that the support was often qualified in that a respondent may have had both pro and anti-vaccine opinions in the same response. They also expressed that communications about vaccines were often problematic. Additional vaccine-related continuing professional development for healthcare paraprofessionals appears to be indicated. Although attitudes towards vaccines were generally positive, respondents had concerns about the quality of vaccine information. Additional vaccine-related continuing professional development for healthcare paraprofessionals appears to be indicated.

Assessing the informational quality of TikTok videos on refractive surgery: a comparative study

Assessing the informational quality of TikTok videos on refractive surgery: a comparative study

Inhibitors and Enablers of Peer-To-Peer Mobile Payment Usage Intention

ABSTRACT With the rising popularity of social media-enabled applications, there has been a noticeable surge in mobile payment providers integrating social media functionalities into their platforms. This integration is evident in the emergence of peer-to-peer (P2P) mobile payment applications. By integrating IS Success Model and Status Quo Bias, our study examines the effects of enabling and inhibiting factors on users’ adoption intention to use P2P mobile payment. An online survey was conducted to obtain data. The findings show that enablers, which are system quality, information quality, service quality, and inhibitors represented by inertia all significantly influence users’ intention to use P2P mobile payment. Moreover, inertia is driven by sunk costs, benefit loss costs, and social norms. Our result not only contributes to the literature on mobile payments but also extends the generalizability of the dual-factor theory and IS Success Model, which is largely employed in the system usage context.

Pengaruh Kualitas Sistem, Kualitas Informasi, Kualitas Layanan Netflix Terhadap Kepuasan Pengguna di Instagram @Netflixid

This research is motivated by the development of information and communication technology, particularly media consumption in the entertainment industry. The Video on Demand (VOD) application Netflix is a pioneering service that is favored by the Indonesian community. In providing its services, Netflix must maintain high quality to compete and sustain its business. The aim of this research is to determine the influence of system quality, information quality, and Netflix service quality on users on Instagram @NetflixID. This study utilizes the Delone Mclean (2016) Information System Success Model. A quantitative approach is employed, with purposive sampling for data collection. Data was gathered through questionnaires, and data analysis was conducted using PLS-SEM with SmartPLS 4.0 program. The results of this research indicate that there is a positive and significant effect of system quality on user satisfaction, with an effect size of 30.1%, a t-statistic of 2.674, and a p-value of 0.004. There is a positive and non-significant effect of information quality on user satisfaction, with an effect size of 23.5%, a t-statistic of 1.926, and a p-value of 0.055. There is a positive and significant effect of service quality on user satisfaction, with an effect size of 34.1%, a t-statistic of 3.214, and a p-value of 0.002. There is a combined effect of system quality, information quality, and service quality on user satisfaction at 61.4%.

Celiac Disease in Children and YouTube: Do the Videos Contain Accurate Information?

Objective: Celiac disease (CD) is a gluten-associated enteropathy whose incidence has been increasing in recent years. Parents whose children are diagnosed with CD search for information about the disease via the internet. YouTube is one of the most frequently used platforms to access information due to the number of users and ease of access. This study aims to investigate how much quality and reliable information the most frequently viewed videos contain for families seeking information about celiac disease in children via YouTube. Materials and Methods: On November 13, 2023, a global search for "Celiac in Children" was conducted on YouTube. The first 150 videos were evaluated using the most frequently watched video filter, and 86 eligible videos were included in the study. Journal of the American Medical Association (JAMA), Global Quality Scale (GQS), and modified DISCERN (ModDISCERN) scoring were performed for quality and reliability of the videos. Results: Thirty-five of the videos (40.7%) were related to childhood CD. When analyzed according to the upload source, 67 (77.9%) were created by healthcare professionals (doctors, nurses, dietitians, etc.) and 19 (22.1%) by independent users. Of all videos, 62% were of very poor and poor quality (1 and 2 points). Videos created by healthcare professionals had higher JAMA scores, GQS scores, and ModDISCERN scores (P = < .001/P =< .001/P =< .001/P =< .001/P =< .001/P =< .001, respectively). Conclusion: The quality and reliability of the most frequently watched YouTube videos about CD in children were generally low. At this point, analyzing videos on medical topics by experts and adding them to the search algorithm according to the scores will help users access reliable information.

Evaluation of the quality, reliability, readability of websites on temporomandibular joint pain

ABSTRACT OBJECTIVE: This study aimed to evaluate the reliability, quality, and readability of websites providing information on temporomandibular joint pain. MATERIALS AND METHOD: An internet search was performed on Google Chrome (Google, Mountain View, California, USA) on June 9, 2023, with the keywords “jaw pain” and the links of the first 50 websites were saved. Four different evaluation tools the DISCERN instrument, The Ensuring Quality Information for Patients (EQIP), the Journal of the American Medical Association (JAMA) benchmark, Readability Index were used to evaluate 37 sites that met the inclusion criteria. SPSS 25 statistical software was used for the statistical analyses and p&amp;lt;0.05 was considered statistically significant. RESULTS: Within the scope of the study, the first 50 websites were registered and a total of 37 websites met the inclusion criteria and were evaluated. The mean values for DISCERN, EQIP, and the JAMA index were 2.05±0.911, 62.4±11.6 and 0.486±0.692, respectively. In addition, those with high credibility constituted %5.4 (n=2) of the total number of sites and %50 (n=1) of these sites were uploaded by private hospitals, and %50 (n=1) by blogs (web logs). CONCLUSION: Based on the findings of this study, it can be concluded that the quality, reliability and readability of websites providing information about jaw pain on the internet vary but are at a medium-low level. Professional associations and organizations, such as the Turkish Orthodontic Society (TOD), may conduct similar research and publish the results to ensure the quality and reliability of the information in publicly available online resources.

The implementation of IFRS electronic financial reporting – XBRL and usefulness of financial information: evidence from Jordanian finance industry

Purpose This study aims to compare the usefulness of financial information in the Jordanian finance industry before and after applying eXtensible Business Reporting Language (XBRL) as a new regulatory requirement under International Financial Reporting Standards (IFRS). Financial information usefulness is measured using the Nijmegen Centre for Economics (NiCE) disclosure index. This index examines IFRS-defined “qualitative characteristics of useful financial information”. These are relevance, faithful portrayal, understandability, comparison and timeliness. Design/methodology/approach To evaluate the formulated hypotheses, ordinary least squares regression analysis was used on a dataset consisting of 954 observations from the Jordanian financial industry, specifically the banking, insurance and real estate sectors, spanning the period from 2005 to 2022. The content analysis method has been used to quantify the extent of each characteristic of useful information disclosure. Findings The investigation validates that the utilisation of XBRL generally enhances the usefulness of financial information in terms of its “relevance, faithful representation, comparability, and timeliness”, although no association was found regarding the duration of understandability. To ensure effective adoption of XBRL in Jordan, it is essential to provide suitable infrastructure to XBRL suppliers and offer training to XBRL users. Practical implications This research advances the field and may be valuable in areas with minimal XBRL framework usage. This analysis can assist businesses in understanding how XBRL affects financial information quality in the age of technological adoption. The findings help regulators and policymakers monitor Jordanian enterprises’ technological adoption and propose IFRS-XBRL-compliant legislation. This could improve measurement and disclosure while protecting investors and integrity. Thus, this research shows that potential investors in Jordanian enterprises must understand and evaluate electronic financial report data. The findings affect business and policy, so executives, lawmakers and stockholders should evaluate them. As technology advances, practitioners and scholars must recognise XBRL’s potential to improve organisational values and effects. These findings can apply to Middle Eastern (ME) countries with similar institutional, cultural and accounting frameworks. Originality/value This study combines agency, signalling and stakeholders’ theories, motivational theories for technology adoption, institutional theories and technological acceptance theories to analyse how XBRL affects financial information. To the best of the author’s knowledge, no other scholarly study has examined how XBRL affects country-level financial information usefulness. This study illuminates XBRL’s country-level benefits and complements firm-level assessments. These are crucial for ME and Jordan’s economic growth. Jordanian data and the existing disclosure index of financial information usefulness are used for the first time to evaluate XBRL.

ESG Disclosure Assurance and Information Quality

ESG Disclosure Assurance and Information Quality

Increasing online consumer satisfaction with logistics service quality: A study in Riau islands province, Indonesia

This study's primary goal was to assess the influence of logistics service quality (LSQ) on online consumer satisfaction (CS) in the Province of Riau Islands, Indonesia. The investigation addresses the various dimensions of LSQ, consisting of the personnel contact quality (PCQ), timeliness delivery quality (TDQ), order discrepancy handling quality (ODHQ), information quality (IQ), and order condition quality (OCQ). Research questionnaires were sent to 500 consumers in the Province of Riau Island, and 344 responses were valid. The investigations employed multiple regression, reliability, and validity tests. All variables–LSQ dimension and CS showed satisfactory reliability and validity. The finding showed that the LSQ dimensions, consisting of PCQ, TDQ, ODHQ, IS, and OCQ, have a significant impact on CS. This study underscores the criticality for logistics companies to enhance their LSQ, as it significantly influences CS and boosts their competitiveness. This research's approach to exploring logistics services in the e-commerce industry is expected to make significant contributions to logistics service and CS in a more comprehensive study.

Understanding the adoption intention of financial data retrieval services: An empirical analysis of my data.

This study empirically analyzed the variables affecting the adoption intention of a financial data retrieval service (i.e. My Data) through the convergence of the stimulus-organism-response (S-O-R) model, the value-based adoption model (VAM), and the unified theory of acceptance and use of technology (UTAUT1). This approach examined the causal relationships where the characteristics of My Data services (stimulus) influence users' perceived benefit and sacrifice (proposed by VAM), as well as performance expectancy, effort expectancy, social influence, and facilitating conditions (proposed by UTAUT1) (organism), which in turn impact adoption intention (response). The results indicate that the three sub-factors of My Data service characteristics-system quality, information quality, and service quality have significant effects on perceived benefit, perceived sacrifice, performance expectancy, effort expectancy, social influence, facilitating conditions, and adoption intention. These findings provide both theoretical and practical insights for the development, diffusion, and activation strategies of My Data, while simultaneously validating the convergence model's effectiveness.

Data-Driven Strategic Approaches to Road Safety Management: Truth and Lies of Official Statistics

Approximately 1.25–1.30 million people die annually in road traffic accidents worldwide, and up to 50 million are injured. The UN General Assembly Resolution 74/229 emphasizes the utmost importance of addressing the issue of reducing road traffic accidents. Achieving the ambitious goal of reducing road traffic fatalities and injuries by at least 50% during 2021–2030 is associated with numerous challenges, one of which is ensuring the reliability of official statistics. The accuracy of official data in reflecting the actual situation depends on multiple factors: the quality of the data collection and identification system for road accidents, the responsibility of the officials, and, to a significant extent, the willingness and ability of those in charge to present desired outcomes as reality, thereby distorting the relevant statistics. The issue of inaccurate statistical data and its negative impact on subsequent socio-economic management processes has long been recognized. Different countries address this issue with varying degrees of success. Using data on the characteristics of the road traffic accident rate as an example, the problem of statistical data accuracy in Russia and African countries is considered. A comparison of such countries was chosen to illustrate the real problem of the low credibility of official statistical information available for analysis. Unfortunately, the low quality of statistical information does not allow for drawing accurate conclusions about the actual situation in Russia and African countries, and hence, competently and rationally managing socio-economic processes. This conclusion is based both on the analysis of the results of previous studies and on the original statistical analysis of officially available information.