Information System Quality Research Articles

Cluster Analysis Reveals Distinct Subgroups with Severe Pain in Sickle Cell Disease: A Cross-Sectional Study Using the Grndad Multi-Center Registry

Introduction: Sickle cell disease (SCD) affects millions worldwide and is characterized by episodic severe pain, impacting quality of life and leading to significant healthcare utilization. Yet, clinicians face significant challenges in treating pain in individuals with SCD due to heterogeneity in pain experiences and pain impact. Improved understanding of the clinical characteristics of individuals with SCD who are at risk for developing severe pain is necessary to better manage pain and develop novel and personalized pain interventions. The objectives of this study were to (1) identify distinct pain subgroups based on demographic and psychosocial characteristics and (2) evaluate the relationship between the subgroups and pain impact. Methods: We performed a hierarchical cluster analysis on a cross-sectional sample of adults living with SCD enrolled in the Global Research Network Data and Discovery (GRNDaD) registry who had completed the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) surveys. Classification variables for clustering included SCD subtype (SS/Sβ 0-thalassemia [SCA] vs SC/Sβ +-thalassemia [variant]), sex, age, presence of chronic pain, frequency of SCD pain episodes, and social and emotional functioning. Results: There were 472 adult participants included in the analysis. The overall sample was 59% female with a median age of 33 (IQR 26-42 years). Five distinct subgroups were identified: Subgroup 1 (n=117, 100% SCA subtype, 100% female, median age 33, high chronic pain and pain episodes, and poor social and emotional functioning), Subgroup 2 (n=98, 100% variant subtype, 65% female, median age 34, high chronic pain and pain episodes, poor social and emotional functioning), Subgroup 3 (n=141, 100% SCA, 100% male, median age 30, moderate chronic pain, high pain episodes, and low-normal social and emotional functioning), Subgroup 4 (n=41, 100% variant, 54% female, median age 40, low chronic pain and pain episodes, normal social and emotional functioning), and Subgroup 5 (n=75, 100% SCA, 100% female, median age 34, no chronic pain, low pain episodes, and normal social and emotional functioning). All subgroups differed significantly (p<0.05) with respect to pain impact/interference, with Subgroups 1-3 demonstrating worse pain impact. Additionally, significant differences in hospitalization, education and income, total hemoglobin and fetal hemoglobin levels were noted between the subgroups. Hydroxyurea use was similar in the three clusters with SCA (subgroups 1 and 2). Conclusion: To our knowledge, this analysis represents the largest pain subgroup analysis in SCD. Subgroups with worse pain impact were characterized by poorer social and emotional functioning, implying that psychosocial factors are strongly associated with pain outcomes in individuals with SCD. Moreover, variations in pain impact based on sex and SCD subtype suggest these factors are associated with differences in pain outcomes. Additionally, we found that the presence of chronic pain is associated with higher pain impact, increased healthcare utilization, and more frequent pain episodes. The study should be interpreted with consideration of the following limitations: (1) cross-sectional design, which limits the ability to establish causality or directionality between the various associations, and (2) reliance on self-reported measures that may be subject to recall and reporting biases. Nevertheless, these findings highlight the heterogeneity in pain experiences and suggest that multimodal interventions may be critical in addressing the pain and psychosocial burden for individuals with SCD. Longitudinal studies are needed to further validate these findings and explore how pain profiles may change over time in individuals with SCD.

Assessing the Success of Village Asset Management Systems: An Employee Perspective

This study aims to examine the success of Village Asset Management Systems (VAMS). The measurement uses the Delone McLean success model (D&M model), which provides six interrelated dimensions of information system success: system quality, information quality, service quality, intention to use, user satisfaction, and net benefits. 112 respondents who had used the VAMS application were surveyed, and data was analyzed using the structural equation modeling (SEM) technique. We find that information quality, system quality, and service quality are significant determinants to increase the VAMS application's user satisfaction. The intention to use positively impacts user satisfaction of the VAMS application. Furthermore, both intention to use and user satisfaction effectively increase the net benefits of the VAMS application. On the other hand, although system quality has no impact on the intention to use VAMS applications, interestingly, when we did a split sample test based on the knowledge transfer method in the VAMS implementation process, all dimensions on the D&M model were well-proven and validated. Finally, this study also demonstrates that information quality and service quality positively affect intentions to use the VAMS application in the context of a mandatory government information system.

Influence Quality System Information Management and Utilization of Information Technology to Effectiveness System Information Accountancy

The purpose of this study was to determine the effect of the quality of information systems, information systems management, and the use of information technology on the effectiveness of accounting information systems at PT. Ody Lestary Medan, either partially or simultaneously. This study uses a quantitative approach with multiple linear analysis techniques while the data collection technique in this study uses a questionnaire. As for the results of the research partially, the quality of information systems do not affect the effectiveness of accounting information systems. The results of this study concluded that simultaneously there is an influences of Information System quality, Information System Management and Utilization of Accounting Information Technology at PT. Ody Lestary Medan, this can seen by the value of fcount 44,770 > Ftable 2.93. the coefficient of determination (R square) obtained is 0.822, this result means that 82.2% of the Effectiveness of Accounting Information Systems variable can be explained by the variables of Quality of Information Systems, Information Systems Management and Utilization of Accounting Information technology, while the remaining 17.8% is explained by other variable not examined.

Are Local Government Information Systems in Indonesia Successfully Implemented?

The increasing development of information and communication technology has an impact on changes in all fields including the government sector which is marked by the enactment of a new policy, namely the Minister of Home Affairs Regulation Number 70 of 2019 concerning Regional Government Information Systems (SIPD). This study evaluates the success of implementing the Local Government Information System (SIPD) application in the Metro City Local Government through the IS Success Model. The Grand Theory used in this research is the Information Success Model. The variables in this study use constructs from the IS Success Model, including information quality, system quality, service quality, user satisfaction, and usage benefits. The sampling technique in this study uses non-probability sampling which uses Purposive Sampling with several criteria for respondents so that a sample of 93 respondents is obtained. Data analysis in this study used SPSS version 26 with path analysis testing. The results showed that information quality, service quality, and user satisfaction had a positive effect on user benefits but not system quality. In this study, user satisfaction mediates between the independent and dependent variables.

An analysis of users’ continuous use intention of academic library social media using the WeChat public platform as an example

PurposeThis study aims to discover the factors which influence user satisfaction levels and their continuous use intention (CUI) of academic library social media, and then considers how to promote and improve further work on library social media to reduce user churn and increase user satisfaction.Design/methodology/approachAn updated DeLone and McLean information systems success (D&M ISS) model and the expectation confirmation model for information systems continuance (ECM-ISC) with new variables of emotions are used to examine the factors which influence user satisfaction levels and CUI of academic library social media through 445 questionnaires. Partial least squares structural equation modelling was used to analyse the data and presented in tables.FindingsThe results show that information quality, system quality and emotions affect user satisfaction and CUI, and reveal that emotions can affect that most obviously.Research limitations/implicationsThe WeChat public platform is mainly used in China, so the study only focuses on Chinese academic libraries. There are still limitations on the settings of observed variables which cannot cover all the causes of users’ positive and negative emotions. In addition, although the respondents of this questionnaire can represent academic library users, 445 samples are still fairly low in contrast to the great number of academic library WeChat public platform users.Originality/valueThis study integrates ECM-ISC and D&M ISS models, adds positive and negative emotions as new variables, to broaden the application scope of these models, and demonstrates the applicability of these two models in the fields of researching academic library social media, expanding and deepening related theories above. This also provides practical reference for academic libraries on how to improve user satisfaction and CUI of academic library social media and academic library WeChat public platforms, promoting the development of academic library social media.

Information and Communication Systems' Impact on Healthcare Quality: Insights from Medical City Complex Employees

This descriptive analytical study investigates the pivotal role of information and communication systems in enhancing the quality of medical services, drawing upon the perspectives of employees at Medical City Complex. Employing a semi-experimental approach with 40 participants from the Department of Medicine, the research delves into the understanding of information and communication systems and quality medical care. The study employs a three-section questionnaire, encompassing demographic information, dimensions of healthcare quality, and dimensions of information and communication systems. Validity and reliability of the questionnaire were rigorously established. The findings unveil significant trends, particularly in factors such as age and years of service, illustrating their links to healthcare quality and information and communication systems. Detailed analyses of healthcare quality dimensions (Tangibles, Reliability, and Assurance) and information system aspects (Management, Organization, and Information Technology) are presented. The study concludes by elucidating the impact of independent variables on dependent variables, providing invaluable insights for future research and decision-making in the healthcare sector, ultimately enhancing the quality of medical care and information systems.
 Highlights:
 
 Investigates the impact of information and communication systems on medical service quality.
 Utilizes a semi-experimental approach with 40 Department of Medicine employees.
 Highlights the influence of age and years of service on healthcare quality and information systems.
 
 Keywords: Healthcare Quality, Information and Communication Systems, Employee Perspectives, Validity and Reliability, Healthcare Improvement

The Adoption of Information System Technology in Piloting the Current State of Health Institution in Tier Three Nations

This article is a pragmatic approach on the evaluation and implementation of the health information system as directed in assisting medical institutions to store patients’ health record in an electronic based method. In order to manage lots of information, the health information system comes in handy to sort data, processes and people. The system which consists of a set of interrelated components gathers, stores, and disseminates health or organizational related information of individuals working in the same health sector. All around the world the applications of digital health technology have become vital tools of modern information technology which has aided in the smooth and efficient delivery of quality healthcare. Studies have shown that the success of the electronic health information system implementation in developing countries is still low, and various reasons have however been identified as the cause of this poor outcome. This article is a pragmatic approach on the evaluation of information system technology adoption in the Nigerian health sector. The work focuses on factors that will determine the successful implementation of the health information system in health institutions in Nigeria, and how these factors can be enhanced using the Information System Quality Dimensions (Service Quality, System Quality, and Information Quality) as findings from this study show that attention should be on updating and upgrading the Information System quality dimensions (service Quality, Information Quality, and System Quality) since it reveals that there is a high dependence on these dimensions to bridge the research gap; as results show that there is an overall correlation between the analyzed variables.

The Relationship between AI Adoption Intensity and Internal Control System and Accounting Information Quality

This study develops an empirical model for accounting information systems’ quality. The paper identifies the manufacturing industry, intensity of artificial intelligence (AI) adoption and internal control system quality as critical factors for the accounting information system quality. It empirically tests their relative importance, as well as the interrelationships between each variable. We use technology domain theory as a theoretical lens because it encompasses key interrelationships between technology, organization science and cognitive processes necessary to explain the complex relationship between different organizational artifacts. A survey was conducted using managers of 381 firms from different economic sectors. The findings demonstrate a statistically significant relationship between the intensity of AI adoption and the manufacturing industry and the internal control system quality, which in turn contributes to the accounting information system quality.

Using Patient-Reported Outcome Measures to Identify Factors Associated with Impaired Physical Function in Younger and Older Adults Living with Sickle Cell Disease

Background Improvements in disease management techniques have led to increases in the life expectancy of individuals with sickle cell disease (SCD). Despite the increasing number of older adults with SCD (defined as age ≥ 40 years), there is limited data on how symptoms experienced by this population such as pain, sleep, depression, and fatigue impact how they function day-to-day. In this study, we sought to determine which modifiable patient-reported factors most strongly correlate with patient reported physical function in adults with SCD. Understanding factors associated with impaired physical function will provide targets for future interventional studies to improve function. Methods We conducted a cross-sectional study at a single academic sickle cell center. Participants completed the Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me) Stiffness Impact and Sleep Impact surveys and the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function, Pain Intensity, Pain Interference, Fatigue, Cognitive Function, and Emotional Distress measures. For ASCQ-Me, higher scores imply better self-reported health. For PROMIS, higher scores mean higher levels of the concept being measured. Relationships between the variables thought to influence SCD experience were explored using analytical networks and centrality measures (INSIGHTS, Nanbar Health's data analysis and 3D visualization tool) that built upon calculated pairwise Spearman correlations of the non-normal variable set. Results Surveys were administered to 92 participants with 97% of participants completing all surveys. The mean score for each item was obtained across all participants. Scores were then stratified by age group and t-tests were performed to compare scores on results between groups for each ASCQ-Me and PROMIS measure. Across those who completed both surveys, the mean age was 43 (SD 13.7). The mean age for older adults was 54 (SD 8.6) and the mean age for younger adults was 30 (SD 5.5). More participants were female (58%) than male (42%). Genotypes included HbSS (58%), HbSβ 0-thalassemia (5%), HbSC, (24%), and HbSβ +-thalassemia (13%). The mean score on PROMIS Physical Function for all participants was 48.7 with 18% of responders reporting impaired physical function (score ≤ 40). Older adults had lower mean scores on PROMIS Physical Function (46.4) vs. for younger adults (51.6, p <0.05). The strongest correlations were between PROMIS Physical Function and ASQME Stiffness Impact (r s= 0.66; p<0.001), PROMIS Pain Intensity (r s= -0.61; p<0.001), PROMIS Pain Interference, (r s= -0.61; p<0.001), and ASCQ-Me Fatigue (r s = -0.55; p<0.001). There was a moderate positive correlation between PROMIS Physical Function and ASCQ-Me Sleep Impact (r s= 0.40; p<0.001) and PROMIS Cognitive Function (r s=0.36 p < 0.001) implying better sleep and better cognitive function were associated with better patient reported physical function. Lastly, better physical function had a low-moderate association with PROMIS Emotional Distress (r s= - 0.24; p < 0.05). We assessed relationships between all of the patient-reported outcome measures and found that the strongest relationships were between Pain Intensity and Pain Interference (r s= 0.69), Pain Intensity and Stiffness (r s= -0.67), and Fatigue and Cognitive Function (r s= -0.69). There was no central node identified (Figure). Conclusion Each factor evaluated in this study showed a statistically significant and clinically meaningful relationship to patient reported physical function. One of our major findings was that when mapped against each other, there was no central node explaining the identified correlations between the variables assessed. These results suggest that physical functioning is multifactorial and that there exist multiple modifiable factors that may influence function in people with SCD. Factors associated with physical function will serve as targets for future interventional studies to maintain and improve function in adults with SCD.

Title: The Impact of Recent Vaso-Occlusive Crisis on Health-Related Quality of Life in Adults with Sickle Cell Disease

Introduction: Sickle cell disease (SCD) is characterized by vaso-occlusive crises (VOCs) and a progressive clinical course, often leading to end organ damage and mortality. Individuals living with SCD with recurrent VOCs experience daily life disruptions due to recurrent pain crises, debilitating chronic pain and fatigue, which substantially impair health-related quality of life (HRQoL). The impact of a recent VOC on HRQoL has not been quantified. We investigated HRQoL impacts in adults with SCD who experienced a recent VOC (< 1 week) in comparison to overall adults with SCD with recurrent VOCs. Methods: A mixed-methods study was conducted to quantify the HRQoL, work impacts, and perceived health inequalities of individuals with SCD with recurrent VOCs. The study consisted of qualitative interviews and an online longitudinal survey administered at 3 timepoints (month 0, 3, and 6) in the US, UK, France, Germany, and Italy. Patient advocacy groups used multi-channel outreach to invite participants, who were required to meet the eligibility criteria and provide consent. Key eligibility criteria included recurrent VOCs defined as ≥ 2 VOCs/year in each of the 2 years prior to enrollment requiring a medical facility interaction and administration of pain medication or red blood cell transfusion. The survey included multiple patient-reported outcome (PROs) measures: the Functional Assessment of Cancer Therapy - Bone Marrow Transplant (FACT-BMT) inclusive of the FACT-General (FACT-G), EuroQol- 5 Dimension 5-Level (EQ-5D-5L), 11-point pain numerical rating scale (NRS), Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me), and the Work Productivity and Activity Impairment (WPAI) questionnaire. In this post-hoc analysis study participants with a current or recent VOC (< 1 week ago) were identified based on ASCQ-Me responses (herein referred to as recent VOC). The HRQoL impact of a recent VOC was assessed by descriptively comparing PRO scores between those with a recent VOC and the overall population of adults with SCD with recurrent VOCs (herein referred to as overall population). Results: The survey was completed by 142 participants with SCD (≥ 18 years) with 139 providing time since last VOC living in the US (n=82) and UK, Germany, France, and Italy (n=57). Fifty-six (40.3%) reported a recent VOC and had a similar mean age (35.7 vs. 35.3 years) and hydroxyurea use in the past month (58.9% vs. 61.9%) compared with the overall population. A higher proportion of those with a recent VOC were unemployed or unable to work due to SCD (76.8% vs. 64.7%). The mean EQ-5D VAS (0-100 scale, 100=best health) among those with a recent VOC was 49.2 (SD: 14.2), which was 16.2% and 38.8% lower relative to the overall study population (58.7 [SD: 19.4]) and the US general population (80.4 [SD: 15.6]), respectively. The overall mean EQ-5D health utility US index score (0.59 [SD: 0.27]) was much lower than the US general population (0.85 [SD: 0.21]) and further reduced among those with a recent VOC by 0.11 (0.48 [SD: 0.25]). The FACT-G total mean score was 53.6 (SD: 14.3) (0-108 scale, 108=best HRQoL) among those with a recent VOC representing a clinically meaningful reduction compared with the overall population (62.5 [SD:18.1]); with all FACT-G domain scores negatively impacted by a recent VOC. Based on the WPAI, those employed with a recent VOC (n=15) reported a mean of 35.4% (SD: 35.8%) absenteeism and 62.5% (SD: 21.8%) presenteeism, which were higher than the overall study population (24.7% [SD: 27.1%] and 42.0% [SD: 27.8%)], respectively). In the past 12 months, those with a recent VOC had a greater mean number of emergency room visits (9.6 [SD: 12.6] vs 6.2 [SD: 8.8]), hospitalizations with overnight stays (6.0 [SD: 5.7] vs. 4.0 [SD: 4.5]), and days overnight in the hospital (21.8 days [SD: 32.9] vs. 14.7 [SD: 24.7]) compared to the overall population. Conclusions: Despite current treatments, nearly 40% of adults with SCD in the surveyed population experienced a recent VOC (< 1 week), which has significant negative impacts on HRQoL and functional status, including the ability to work. These results demonstrate the substantial humanistic burden of those living with SCD with recurrent VOCs and the additional impairment of a recent VOC. Novel treatments that reduce or eliminate VOCs may provide an opportunity to improve health inequalities, HRQoL, and address unmet needs in this patient population.

Quality of Care Among Emerging Adults with Sickle Cell Disease Using the Ascq-ME Qoc Measure: Baseline ST3P-up Study Data Results

ASCQ-Me ® ( Adult Sickle Cell Quality of Life Measurement Information System) is a disease specific patient-reported outcome measurement system to evaluate and track the physical, mental, and social well-being of adults living with sickle cell disease (SCD). It includes a mixed format ASCQ-Me Quality of Care (QOC) measure which aims to quantitatively, and qualitatively, understand the way adults living with SCD experience healthcare. The ASCQ-Me QOC measure follows the Donabedian's model that evaluates health services research around structure, process, and outcomes of healthcare system interactions.1 Prior and ongoing research report that adults with SCD avoid going to the emergency department (ED) for acute symptoms.2,3 Poor provider knowledge and understanding of SCD feeds a misperception as drug seeking and heightens the structural inequities and racial stigma of living with the disease.4 This is further compounded by poor adherence to acute triage guidelines, disbelief in patient reports of pain and of their usual care plan, severe delays in receiving acute care, poor provider patient communication and distrust. The Sickle Cell Trevor Thompson Transition Project (ST3P-UP), a multicenter, comparative effectiveness study of a structured education-based transition program +/- peer mentoring to improve acute care utilization for SCD ages 16-26y was conducted at 14 SCD clinical sites.5 Each site was required to engage a community-based organization (CBO) and had established community advisory boards (CABs) focused on collaborative partnerships to improve access to and experience of care. The study captured baseline and longitudinal reports of patients' experiences with health care using the ASCQ-Me QOC measure on all enrolled participants with annual rescoring as part of routine care. ST3P-UP study demographics: N=291, mean age 18.8y (SD1.5); 52% F; 96% Black; 3.6 acute care visits/yr. at baseline (range 0-31, SD4.9). Over 84% of participants reported being usually or always satisfied with the QOC when care was needed right away. Overall health care was rated between 7-10 (10 = best care possible) by 83%; 73% reported they usually or always were able to access care right away when needed while 78% usually or always waited <2h to receive treatment for their acute pain. These reports were equivalent to that reported when SCD experts care for SCD patients. QOC scores for ED care were higher than previously published and also better than anecdotal reports. Specifically, patients reported that they felt the doctors (84% of the time) and nurses (83% of the time) usually or always seemed to really care about them and that when they needed care right away, they were treated with courtesy and respect by clerks and receptionists usually or always 87% of the time. Only 11% of participants reported that providers were able to only help their pain “a little or not at all” and that providers “ did not” or “only slightly” believed their report of pain, respectively. Participants were usually or always satisfied with the care received in the ED 94.1% of the time. However, a bad experience continues to drive the decision to avoid going to the ED for care in 63% of participants. A previous report by Kanter et al cited only 51% of adults with SCD were usually or always satisfied with the ED care received and 52% indicated a bad experience in the ED led them to decide to avoid seeking care.6 These results demonstrate a surprisingly higher satisfaction with the quality, process and outcomes of ED care delivered and less discrepancy between ambulatory vs. ED care than expected compared to published and anecdotal reports. This could reflect the bias of ST3P-UP study enrollment and a younger patient population with ~25% having <1 baseline acute visits /yr. ST3P-UP sites had existing strong partnerships with providers, a local CBO and established CABs thus care may not be generalizable to the broader SCD care ecosystem. While longitudinal survey results will be important as comparison, our data highlights the value of objectively quantifying ambulatory and ED experiences soon after a visit to gain quantitative insights into these experiences. Our results do not obviate the need for subjective reports on specific experiences however both types of data can guide local and systemic improvement efforts with attention on identifying subpopulations differently affected and interventions that lower the risk for poor QOC experiences.

Improvements in Health-Related Quality of Life after Exagamglogene Autotemcel in Patients with Severe Sickle Cell Disease

Background: Severe sickle cell disease (SCD), which is characterized by recurrent vaso-occlusive crises (VOCs), has a substantial negative impact on health-related quality of life (HRQoL). Exagamglogene autotemcel (exa-cel) is a one-time, non-viral, ex vivo CRISPR/Cas9 gene-edited autologous cell therapy in phase 3 clinical trials that has been shown to eliminate VOCs. Here, we report HRQoL data from a pre-specified interim analysis of the exa-cel CLIMB SCD-121 study. Methods: CLIMB SCD-121 is an ongoing phase 3 trial of a single dose of exa-cel in patients ages 12-35 years with SCD and a history of ≥2 VOCs/year in each of the 2 years prior to screening. Changes in patient reported outcomes measures EuroQol Quality of Life Scale 5 dimensions 5 levels of severity (EQ-5D-5L, including descriptive system and visual analog scale [VAS]), Functional Assessment of Cancer Therapy Bone Marrow Transplant (FACT-BMT, including FACT-General [FACT-G] and bone marrow transplant subscale [BMTS]), Adult Sickle Cell Quality of Life Measurement Information System (ASCQ-Me), and the 11-point pain Numerical Rating Scale (NRS ) were assessed from baseline through month 24 as a secondary endpoint in the trial. Data is presented as of 10 Feb 2023 for the 17 adult patients (aged ≥18-35 years) who had been followed for ≥16 months after exa-cel infusion. Results: Substantial and clinically meaningful improvements exceeding minimal clinically important difference (MCID) thresholds were observed in all assessed patient reported outcomes measures. At baseline, the EQ-5D-5L health utility US index (n=17; mean [SD]: 0.71 [0.23]) and EQ VAS (63.5 [22.5]) scores were lower than the US general population norm and similar to baseline scores reported for adult SCD patients with recurrent VOCs. By month 6, both EQ-5D-5L health utility US index score and EQ VAS score showed substantial improvements, which were maintained through month 24 (mean changes [SD] at month 24 [n=8]: 0.23 [0.20]; MCID 0.078 and 28.3 [16.2]; MCID 7 to 10, respectively). FACT-G Total Score improved from baseline at month 24 (mean [SD] change at month 24 [n=8]: 29.8 [17.2]; MCID 3 to 7), with improvements observed in all 4 subscales (physical, social/family, emotional, and functional well-being). BMTS score improved by month 6 and was sustained through month 24 (mean [SD] change at month 24 [n=8]: 3.9 [5.7]; MCID 2 to 3). All subscales of the ASCQ-Me, including emotional (mean [SD] change [n=7] 17.7 [9.8]), social (23.8 [6.7]), stiffness (7.9 [12.9]), and sleep impact (8.4 [8.3]), demonstrated clinically meaningful improvements from baseline through month 24. For the ASCQ-Me pain-related subscales evaluating pain impact, pain episode frequency and pain severity, the largest numerical improvement was observed in pain episode frequency (mean [SD] change at month 24 [n=8]: -22.8 [8.2]; MCID -5). Improvements in the pain NRS were observed by month 12 and sustained through Month 24 (mean [SD] change at month 24 [n=8]: -1.8 [3.1]; MCID -1). Conclusion: Adults infused with exa-cel reported sustained and clinically meaningful improvements in their HRQoL, with improvements observed across different instruments and domains, including physical, emotional, social/family, and functional well-being, pain experience, and overall health status. These results demonstrate the broad clinical benefits of exa-cel in patients with SCD.

Information Quality of Business Intelligence Systems: A Maturity-based Assessment

Background: The primary role of a Business Intelligence (BI) system is to provide information to decision-makers within an organization. Moreover, it is crucial to acknowledge that the quality of this information is of greatest significance. Several studies have extensively discussed the importance of information quality in information systems, including BI. However, there is relatively little discussion on the factors influencing 'Information quality”. Objective: This study aimed to address this literature gap by investigating the determinants of BI maturity that impacted information quality. Methods: A maturity model comprising three dimensions was introduced, namely Data quality, BI infrastructure, and Data-driven culture. Data were collected from 84 companies and were analyzed using the SEM-PLS approach. Results: The analysis showed that maturity had a highly positive influence on Information Quality, validating the relevance of the three proposed determinant factors. Conclusion: This study suggested and strongly supported the importance and relevance of Data quality, BI infrastructure, and Data-driven culture as key dimensions of BI maturity. The robust statistical relationship between maturity and information quality showed the effectiveness of approaching the systems from a maturity perspective. This investigation paved the way for exploring additional dimensions that impact Information quality. Keywords: BI infrastructure, BI maturity, Data-driven culture, Data quality, Information quality.

Bridging artificial intelligence-based services and online impulse buying in E-retailing context

Artificial Intelligence (AI) often refers to computational agents that act intelligently. This paper explores the impact of AI-servicer quality performance on online impulse buying through information quality, system quality, and utilitarian and hedonic motivations. Primary data from 470 online shoppers in China were collected through an online survey. Structural equation modeling was employed. Our results indicate that AI service performance positively influences the information quality and system quality of shopping websites. Furthermore, system quality and information quality positively affect online impulse buying. However, the impact of system quality on online impulse buying is more significant for customers with higher hedonic motivations. The effect of information quality on impulse buying is more significant for customers with higher utilitarian motivations. This study contributes to the services and consumer behaviour literature. It extends stimulus-organism-response (SOR) theory in the AI context by examining the role of AI-based services provided by shopping websites in influencing online impulse buying.

The nexus between quality of customer relationship management systems and customers' satisfaction: Evidence from online customers’ reviews

Customer Relationship Management (CRM) is a method of management that aims to establish, develop, and improve relationships with targeted customers in order to maximize corporate profitability and customer value. There have been many CRM systems in the market. These systems are developed based on the combination of business requirements, customer needs, and industry best practices. The impact of CRM systems on the customers' satisfaction and competitive advantages as well as tangible and intangible benefits are widely investigated in the previous studies. However, there is a lack of studies to assess the quality dimensions of these systems to meet an organization's CRM strategy. This study aims to investigate customers' satisfaction with CRM systems through online reviews. We collected 5172 online customers' reviews from 8 CRM systems in the Google play store platform. The satisfaction factors were extracted using Latent Dirichlet Allocation (LDA) and grouped into three dimensions; information quality, system quality, and service quality. Data segmentation is performed using Learning Vector Quantization (LVQ). In addition, feature selection is performed by the entropy-weight approach. We then used the Adaptive Neuro Fuzzy Inference System (ANFIS), the hybrid of fuzzy logic and neural networks, to assess the relationship between these dimensions and customer satisfaction. The results are discussed and research implications are provided.

The Influence of Management Information System Transition on Individual Impact Mediated by Perceived Ease of Use and Usefulness

Objectives: The aim of the research is to reveal how perceived usefulness and ease of use can bridge the gap among the impacts on individuals of information quality, system quality, and service quality.Methodology: This study uses a quantitative method to assess the theoretical model by asking several questions linked to Google Forms. This study utilized a quantitative analysis instrument by SmartPLS software. Partial Least Square-Structural Equation Modelling utilizes data analysis. The population of this study were employees at PT KIMI which moved to manufacture tire products in West Java with a total sample of 75 respondents. The data analysis used is the Partial Least Square-Structural Equation Model (PLS-SEM) by SmartPLS 3.0 software. The initial phase in data analysis is to summarize figures on the respondents' descriptions. The subsequent phase is to gauge the validity and reliability through discriminant validity and reliability tests.Finding: The study results showed that employees' perceived usefulness and ease of use mediate the relationship between information quality, system quality, and individual impact. Conversely, the service quality could not directly influence individual impact through perceived usefulness. Perceived ease of use and usefulness serially mediate the relationship between system quality, service quality, and individual impact. Conclusion: The perceived ease of use and usefulness variables can serially mediate the relationship between system quality and service quality on individual impact. Users of information systems will feel a more significant personal impact if perceived usefulness and ease of use are implemented to achieve comfortable working.

The Influence of Information System Quality and Information Quality on User Satisfaction of Presence Application through Perceived Usefulness on Regional Secretariat of Malang District Government

Taking into account the urgency regarding Civil Servant Discipline, the Government issued Government Regulation of the Republic of Indonesia Number 94 of 2021 concerning State Civil Apparatus regarding Civil Servants who must comply with the provisions of PNS discipline to ensure the maintenance of order in the smooth implementation of their duties. The Ministry of Communication and Information created an Android-based attendance application to support this regulation. This study discusses the presence of application user satisfaction which is influenced by the quality of information systems, information quality, and perceived usefulness. This study used the Slovin sampling method with 203 users as samples. Data were analyzed using SPSS 26. Data analysis techniques used were descriptive analysis, classic assumption test, t-test, and path analysis. The results of the study concluded that information system quality and information quality significantly affect perceived usefulness, information system quality and information quality affect user satisfaction, and perceived usefulness affects user satisfaction. The mediation results show that perceived usefulness can mediate the influence of information system quality and information quality on user satisfaction.

Islamic Perspective in E-Service Quality-based Knowledge Sharing on Islamic Hospital Employee Performance Improvement

Technological developments now greatly affect the activities of health organizations and are expected to encourage better hospital performance. One of the efforts that can be made to increase employee knowledge related to technological developments is through knowledge sharing. Measuring the quality of hospital management information systems from the user’s point of view using the e-service quality method. The study aims to determine the effect of knowledge sharing and e-service quality information systems on employee performance in Islamic hospitals that have followed global budget rules in West Java. This research uses a quantitative method with a causal research type. Information is collected directly from the field to find out the opinion of the respondents on the object being studied. The researchers used judgment sampling with the number of samples obtained using the Bernoulli method with an error of 5% so that the minimum number of respondents was 128. The research data were obtained through the results of interviews and questionnaires. The data were processed, analyzed, and then conclusions were drawn using the cross-sectional method. The results of the analysis show that both knowledge sharing and e-service quality are in good category and employee performance is in the very good category. The variables of knowledge sharing and e-service quality both partially and simultaneously have a positive and significant effect on employee performance with a moderate effect.
 Keywords: e-service quality, employee performance, Islamic hospital, knowledge sharing

DETERMINASI KUALITAS INFORMASI AKUNTANSI PADA PERUSAHAAN NON-KEUANGAN BADAN USAHA MILIK NEGARA GO PUBLIC

The objective of this study is to find out of effect the use of information technology, user expertise, and quality of information system toward the quality of accounting information. It was conducted on a sample of non-financial companies of state owned companies that are listed on the Indonesia Stock Exchange. The data collected for the study came from a survey that was sent out to the finance and accounting staff members of the company. The study was conducted using a statistical method known as SEM by SmartPLS. The results of the analysis revealed that the information system's quality significantly affected the quality of accounting information, but not for the use of information technology and user expertise.

Predicting the Intention to Use Learning Analytics for Academic Advising in Higher Education

Learning analytics (LA) is a rapidly growing educational technology with the potential to enhance teaching methods and boost student learning and achievement. Despite its potential, the adoption of LA remains limited within the education ecosystem, and users who do employ LA often struggle to engage with it effectively. As a result, this study developed and assessed a model for users’ intention to utilize LA dashboards. The model incorporates constructs from the “Unified Theory of Acceptance and Use of Technology”, supplemented with elements of personal innovativeness, information quality, and system quality. The study utilized exploratory research methodology and employed purposive sampling. Participants with prior experience in LA technologies were selected to take part in the study. Data were collected from 209 academic staff and university students in Malaysia (59.33% male) from four top Malaysian universities using various social networking platforms. The research employed “Partial Least Squares Structural Equation Modeling” to explore the interrelationships among the constructs within the model. The results revealed that information quality, social influence, performance expectancy, and system quality all positively impacted the intention to use LA. Additionally, personal innovativeness exhibited both direct and indirect positive impacts on the intention to use LA, mediated by performance expectancy. This study has the potential to offer valuable insights to educational institutions, policymakers, and service providers, assisting in the enhancement of LA adoption and usage. This study’s contributions extend beyond the present research and have the potential to positively impact the field of educational technology, paving the way for improved educational practices and outcomes through the thoughtful integration of LA tools. The incorporation of sustainability principles in the development and deployment of LA tools can significantly heighten their effectiveness, drive user adoption, and ultimately nurture sustainable educational practices and outcomes.