Inform Quality Improvement Research Articles

Improving Quality of Information: Does Integrated Reporting matter? Evidence from Sri Lankan Listed Companies

This study examines the information quality of Integrated Reporting (IR) adopted companies compared to non-adopted companies. Information Quality was measured in terms of the decision usefulness approach based on fundamental Qualitative Characteristics (QCs) of financial information. Data were collected through annual reports of listed companies of 26 IR-adopters and 27 non-adopters for 2010 (pre-adoption year) and 2019 (post-adoption year). The results revealed IR-adopters have significantly improved information quality from 2010 to 2019 compared to non-adopters. Also, there is a significant positive relationship between the information quality of IR-adopters with the number of years of experience in IR.
 Our novel QCs-based quality measurement index provides numerical measures for evaluating information quality. The study shows that IR has achieved its overall objective of improving information quality in the Sri Lankan context. Thus, it provides moral confidence for the firms expecting to adopt IR to improve their information quality in the future.

Judicial independence and corporate employment: Evidence from China

We investigate how firms respond to strengthening of judicial independence by examining employment decisions following staggered judicial independence reform in China. We provide robust evidence that the reform leads to salient promotion in employee numbers. Alleviated financing frictions, increased labor demand and improved information quality are three plausible channels that allow independent judicial system to promote corporate employment. Further, we find the reform improves firms’ labor investment efficiency. We estimate that employment effect translates into economically important outcomes in innovation outputs and firm performance. Our paper provides new insights into the real effects of judicial independence on labor allocation and the economy.

A cluster randomised controlled trial, process and economic evaluation of quality improvement collaboratives aligned to a national audit to improve the care for people with diabetes (EQUIPD): study protocol

BackgroundPeople with type 1 diabetes and raised glucose levels are at greater risk of retinopathy, nephropathy, neuropathy, cardiovascular disease, sexual health problems and foot disease. The UK National Institute for Health and Care Excellence (NICE) recommends continuous subcutaneous ‘insulin pump’ therapy for people with type 1 diabetes whose HbA1c is above 69 mmol/mol. Insulin pump use can improve quality of life, cut cardiovascular risk and increase treatment satisfaction. About 90,000 people in England and Wales meet NICE criteria for insulin pumps but do not use one. Insulin pump use also varies markedly by deprivation, ethnicity, sex and location. Increasing insulin pump use is a key improvement priority.Audit and feedback is a common but variably effective intervention. Limited capabilities of healthcare providers to mount effective responses to feedback from national audits, such as the National Diabetes Audit (NDA), undermines efforts to improve care. We have co-developed a theoretically and empirically informed quality improvement collaborative (QIC) to strengthen local responses to feedback with patients and carers, national audits and healthcare providers. We will evaluate whether the QIC improves the uptake of insulin pumps following NDA feedback.MethodsWe will undertake an efficient cluster randomised trial using routine data. The QIC will be delivered alongside the NDA to specialist diabetes teams in England and Wales. Our primary outcome will be the proportion of people with type 1 diabetes and an HbA1c above 69 mmol/mol who start and continue insulin pump use during the 18-month intervention period. Secondary outcomes will assess change in glucose control and duration of pump use. Subgroup analyses will explore impacts upon inequalities by ethnicity, sex, age and deprivation. A theory-informed process evaluation will explore diabetes specialist teams’ engagement, implementation, fidelity and tailoring through observations, interviews, surveys and documentary analysis. An economic evaluation will micro-cost the QIC, estimate cost-effectiveness of NDA feedback with QIC and estimate the budget impact of NHS-wide QIC roll out.DiscussionOur study responds to a need for more head-to-head trials of different ways of reinforcing feedback delivery. Our findings will have implications for other large-scale audit and feedback programmes.Trial registrationISRCTN82176651 Registered 18 October 2022.

Information Quality Improvement With Task Selection Algorithm For IoT Energy Harvesting Devices

The purpose of study is to propose a task selection algorithm that both keeps information quality and saves power consumption in IoT energy harvesting devices. The proposed algorithm not only keeps stable information quality but saves power loss also. The sensor node operation is divided into four tasks depending on the input data including battery capacity, solar panel charging current, and input sensor data variation. The task selector based on a neural network consists of an input layer, a hidden layer of 20 neurons, and an output layer. The proposed algorithm is different from the predefined task algorithm, which mainly focused on deep sleep mode or scheduled tasks. Our proposed algorithm helps the sensor node to be more adaptive to the environment based on real-time execution at each node. The collected information amount varies according to the input data variation. The experiment results show that the proposed algorithm collects higher quality information at large input data variation. The battery lifetime is also improved by up to 22%.

The Measure of an Outcome: Comparing Norming and Stacking to Benchmark the Effectiveness of Brain Injury Rehabilitation Services.

Practitioners have a clinical, ethical, academic, and economic responsibility to dispassionately consider how effective their services are. Approaches to measure how "good" or "bad" healthcare is include clinical audit, satisfaction surveys, and routine outcome measurement. However, the process of comparing the clinical outcomes of a specific service against the 'best' services in the same specialism, also known as benchmarking, remains challenging, and it is unclear how it affects quality improvement. This paper piloted and compared two different approaches to benchmarking to assess clinical outcomes in neurorehabilitation. Norming involved comparing routine measures of clinical outcome with external validators. Stacking involved pooling and comparing internal data across several years. The analyses of routine clinical outcome data from 167 patients revealed significant differences in the patient characteristics of those admitted to the same service provider over time, but no differences in outcomes achieved when comparing with historical data or with external reference data. These findings illustrate the potential advantages and limitations of using stacking and norming to benchmark clinical outcomes, and how the results from each approach might be used to evaluate service effectiveness and inform quality improvement within the field of brain injury rehabilitation.

The value of information disclosure: Evidence from mask consumption in China

We study the effect of information provision on defensive expenditures, using China’s roll-out of air pollution information as a quasi-natural experiment. With a unique dataset of high-frequency mask purchase transactions, our difference-in-differences estimates show that the provision of air pollution information increases expenditures on PM2.5 respirators by 32%, which is mainly driven by improved information quality and the addition of PM2.5 index. The effect is enhanced by increased attention to pollution alerts and it is more pronounced during heavily polluted days. Our results shed light on the benefits of information provision through inducing defensive expenditures to reduce air pollution exposure.

Personal Branding for the Mayor of Palu via the TikTok Account @hadiantorasyid

This research aims to find out how the Mayor of Palu is personally branded through the TikTok account @hadiantorasyid. The type of qualitative descriptive research with the basic case study of the research. Through the purposive sampling technique, four informants were selected, namely the Mayor of Palu, the Special Staff of the Mayor of Palu, the Chairman of the Media Center, and the Videographer of the Mayor of Palu, with data collection techniques through observation, interviews, and documentation. The results of this research show the Values and Vision, the presence of leaders who are close to their audiences, and the vision of building the City of Palu. Moral values, maintaining morals so as not to harm other parties. Be consistent, and consistently upload Content. Specialization, good exercise, and public speaking skills by the Mayor. Hobbies and Skills, Good Sports and Public Speaking by the Mayor. Authority, The supreme authority to regulate and enforce any rules. Relevant, showing the information and achievements of the Mayor clearly. Visibility, consistent major character. Persistence, the team's efforts to build Personal branding through TikTok social media. Acts of Kindness, the nature and character of the original Mayor. Content Quality Improvement, improve information quality with clear audio and clear images.

Economic policy uncertainty, audit quality, and earnings manipulation

ABSTRACT This study examines how audit quality is related to the risk of earnings management when economic policy uncertainty increases. After analyzing 10,524 firm-year samples in Korea from 2012 to 2019, we find that when economic policy uncertainty is high, audit quality, measured by audit fees, audit hours, revised disclosure of financial reports, and discretionary accruals, increases. This implies that auditors increase audit quality at a time of economic policy uncertainty, which results in the improvement in financial information quality. Also, we find that during periods of high economic policy uncertainty, companies with high risk of earnings manipulation disclose higher quality financial information, but pay less audit fees. This suggests that auditors who audit firms with high risk of earnings manipulation adjust to increased audit risk by putting more effort into improving financial information quality, but such increased audit efforts are not reflected in audit fees. The results of the study imply that auditors’ efforts to control audit risks contribute to improving financial information quality in the presence of earnings manipulation risk where information asymmetry increases due to economic policy uncertainty.

Do outcomes for patients with hospital-acquired Acute Kidney Injury (H-AKI) vary across specialties in England?

BackgroundAcute Kidney Injury (AKI) is a common and serious clinical syndrome. There is increasing recognition of heterogeneity in observed AKI across different clinical settings. In this analysis we have utilised a large national dataset to outline, for the first time, differences in burden of hospital acquired AKI (H-AKI) and mortality risk across different treatment specialities in the English National Health Service (NHS).MethodsA retrospective observational study was conducted using a large national dataset of patients who triggered a biochemical AKI alert in England during 2019. This dataset was enriched through linkage with NHS hospitals administrative and mortality data. Episodes of H-AKI were identified and attributed to the speciality of the supervising consultant during the hospitalisation episode in which the H-AKI alert was generated. Associations between speciality and death in hospital or within 30 days of discharge (30-day mortality) was modelled using logistic regression, adjusting for patient age, sex, ethnicity, socioeconomic status, AKI severity, season and method of admission.ResultsIn total, 93,196 episodes of H-AKI were studied. The largest number of patients with H-AKI were observed under general medicine (21.9%), care of the elderly (18.9%) and general surgery (11.2%). Despite adjusting for differences in patient case-mix, 30-day mortality risk was consistently lower for patients in surgical specialities compared to general medicine, including general surgery (OR 0.65, 95% CI 0.61 to 0.7) and trauma and orthopaedics (OR 0.52, 95% CI 0.48 to 0.56). Mortality risk was highest in critical care (OR 1.78, 95% CI 1.56 to 2.03) and oncology (OR 1.74, CI 1.54 to 1.96).ConclusionsSignificant differences were identified in the burden of H-AKI and associated mortality risk for patients across different specialities in the English NHS. This work can help inform future service delivery and quality improvement activity for patients with AKI across the NHS.

Barriers to Telemedicine Use: Qualitative Analysis of Provider Perspectives During the COVID-19 Pandemic.

Though telemedicine is a promising approach for removing barriers to care and improving access for patients, telemedicine use for many medical specialties has decreased from its peak during the acute COVID-19 public health crisis. Understanding the barriers and facilitators to the maintenance of web-based visits-one key component of telemedicine-is critical for ensuring the continuous availability of this service for patients. The purpose of this study is to describe medical providers' perceived barriers and facilitators to the continued use of web-based visits to inform quality improvement efforts and promote sustainability. We performed a qualitative content analysis of free-text responses from a survey of medical providers administered from February 5-14, 2021, at a large, midwestern academic institution, including all providers from medical professions that offered telemedicine (eg, physicians, residents or fellows, nurse practitioners, physicians assistants, or nurses) who completed at least 1 web-based visit from March 20, 2020, to February 14, 2021. The primary outcome was the experience of providing web-based visits, including barriers and facilitators to continued usage of web-based visits. Survey questions included 3 major domains: quality of care, technology, and satisfaction. Responses were coded using qualitative content analysis and further analyzed through a matrix analysis to understand the providers' perspectives and elucidate key barriers and facilitators of web-based visit usage. Of 2692 eligible providers, 1040 (38.6%) completed the survey, of whom 702 were providers from medical professions that offered telemedicine. These providers spanned 7 health care professions and 47 clinical departments. The most common professions represented were physicians (486/702, 46.7%), residents or fellows (85/702, 8.2%), and nurse practitioners (81/702, 7.8%), while the most common clinical departments were internal medicine (69/702, 6.6%), psychiatry (69/702, 6.6%), and physical medicine and rehabilitation (67/702, 6.4%). The following 4 overarching categories of provider experience with web-based visits emerged: quality of care, patient rapport, visit flow, and equity. Though many providers saw web-based visits as a tool for improving care access, quality, and equity, others shared how appropriate selection of web-based visits, support (eg, patient training, home devices, and broadband access), and institutional and nationwide optimization (eg, relaxation of licensing requirements across state borders and reimbursement for phone-only modalities) were needed to sustain web-based visits. Our findings demonstrate key barriers to the maintenance of telemedicine services following the acute public health crisis. These findings can help prioritize the most impactful methods of sustaining and expanding telemedicine availability for patients who prefer this method of care delivery.

What drives the adoption of online health communities? An empirical study from patient-centric perspective

BackgroundOnline health communities (OHCs) provide platforms for patients to seek advice from physicians and receive professional suggestions online. It can improve the efficiency of patients’ diagnosis of simple diseases and alleviate hospital congestion. However, few empirical studies have comprehensively explored the factors influencing patients’ intention to use OHCs through objective data. This study aims to fill this gap by identifying key factors that influence patients’ acceptance of OHCs and proposing effective ways to promote the applications of OHCs in China.MethodsBased on the Unified Theory of Acceptance and Usage of Technology (UTAUT), extended with additional constructs identified with patients’ information demands in OHCs, this study developed a research model and proposed nine hypotheses. An online survey involving 783 valid responses was conducted in China to collect data to validate the proposed model. Confirmatory factor analysis and partial least squares (PLS) path model were conducted for instrument validation and hypothesis testing.ResultsPrice value, eHealth literacy, and performance expectancy are the most prominent constructs in the study context. Interestingly, relation quality was also found to have a significant positive relationship with behavioral intention.ConclusionsBased on these findings, OHC operators need to create a user-friendly platform, improve information quality, set reasonable prices, and establish consummate security systems. Physicians and related organizations can raise awareness and assist patients in developing the skills to appropriately comprehend and utilize information in OHCs. This study contributes to both technology adoption theory and practice.

Opioid Dispensing After Cesarean Delivery in British Columbia: A Historical Cohort Analysis From 2004 to 2019

(Can J Anesth/J Can Anesth. 2022;69:997–1006) Opioids have been overprescribed in North America, including in the field of obstetrics, over the past two decades. Cesarean delivery (CD) is the most common inpatient surgery performed in Canada and opioids are commonly prescribed at discharge to post-CD patients. In 2008, a warning was issued by Health Canada against the use of codeine in mothers who were breastfeeding. A recent study based in the United States found that opioid prescribing practices varied most by the hospital, rather than current recommendations or patient factors. This study used the Surgical Quality Outcome Reports (SQOR) study and the SQOR Extension Study to identify post-CD prescribing patterns among hospitals, hospital type, and hospital location, to inform quality improvement efforts.

Application of blockchain in enterprise financing: literature review and knowledge framework

PurposeIn recent years, the application of blockchain in enterprise financing has become a hot topic in academic research. This study aims to review the existing literature, construct a knowledge framework for this research topic and propose an agenda for future research.Design/methodology/approachBased on 181 papers published from 2016 to 2020 in core journal databases in China and abroad, this study used bibliometric tools to identify and analyze an overview of literature publications, research hotspot trends and research theme clustering. This study also qualitatively analyzes literature from the dimensions of enabling mechanisms, multitechnology synergy, challenges, theoretical perspectives and research methods.FindingsThis study presents the research progress of blockchain applications in direct financing, bank credit, supply chain finance and other financing modes and analyzes the similarities and differences between domestic and international literature. This study also reveals enabling mechanisms of blockchain in enterprise financing, reflected as information quality improvement (data elements), trust mechanism innovation (business process) and collaboration structure enhancement (network structure). The study found several challenges (e.g. technological uncertainty, data security and organizational change) and trends (e.g. integrated innovation of multiple digital technologies). Additionally, the authors identified several gaps and opportunities for further research.Research limitations/implicationsThis study adopts a strict strategy of selecting search terms when retrieving the literature, leading to the exclusion of certain papers on this topic.Practical implicationsThis study provides valuable insights into the innovative development of enterprise financing modes enabled by blockchain and emphasizes that managers should clarify the applicable boundaries and necessary conditions of blockchain innovation in different financing scenarios to match technological innovation with industrial expectations.Originality/valueThis study constructs a knowledge framework on this topic based on a comprehensive review of existing research and proposes several important issues for future research based on the identified research gaps.

Surgeon-level versus hospital-level quality variance in kidney cancer surgery.

To determine whether variance in kidney cancer surgery quality indicators (QIs) is most impacted by surgeon-level or hospital-level factors in order to inform quality improvement initiatives. The ICES and Veterans Affairs (VA) databases were queried for patients undergoing surgery for localized kidney cancer. Kidney cancer surgery QIs were defined within each cohort. Quality of care was benchmarked at a surgeon- vs. hospital-level to identify statistical outliers, using available clinicopathological data to adjust for differences in case-mix. Variance between surgeons and hospitals was calculated for each QI using a random-effects model. The QI with the greatest amount of variance explained by hospital and surgeon-level factors was proportion of cases performed with minimally invasive surgery (MIS). The majority of this variance was due to surgeon-level factors for both the VA and ICES cohorts. The proportion of cases performed using an MIS approach was also the QI with the greatest number of outlier hospitals and surgeons compared to the average performance. The proportion of partial nephrectomies performed for patients at risk of chronic kidney disease was the QI with the greatest amount of variance due to hospital-level factors for the ICES cohort. The proportion of localized kidney cancer cases performed using an MIS approach is the QI requiring the greatest attention. Quality improvement initiatives should focus on surgeon-level factors to increase the number of MIS cases being performed for patients with localized renal masses.

Augmenting project ECHO for opioid use disorder with data-informed quality improvement

BackgroundNational opioid-related overdose fatalities totaled 650,000 from 1999 to 2021. Some of the highest rates occurred in New Hampshire, where 40% of the population lives rurally. Medications for opioid use disorder (MOUD; methadone, buprenorphine, and naltrexone) have demonstrated effectiveness in reducing opioid overdose and mortality. Methadone access barriers disproportionally impact rural areas and naltrexone uptake has been limited. Buprenorphine availability has increased and relaxed regulations reduces barriers in general medical settings common in rural areas. Barriers to prescribing buprenorphine include lack of confidence, inadequate training, and lack of access to experts. To address these barriers, learning collaboratives have trained clinics on best-practice performance data collection to inform quality improvement (QI). This project sought to explore the feasibility of training clinics to collect performance data and initiate QI alongside clinics’ participation in a Project ECHO virtual collaborative for buprenorphine providers.MethodsEighteen New Hampshire clinics participating in a Project ECHO were offered a supplemental project exploring the feasibility of performance data collection to inform QI targeting increased alignment with best practice. Feasibility was assessed descriptively, through each clinic’s participation in training sessions, data collection, and QI initiatives. An end-of-project survey was conducted to understand clinic staff perceptions of how useful and acceptable they found the program.ResultsFive of the eighteen health care clinics that participated in the Project ECHO joined the training project, four of which served rural communities in New Hampshire. All five clinics met the criteria for engagement, as each clinic attended at least one training session, submitted at least one month of performance data, and completed at least one QI initiative. Survey results showed that while clinic staff perceived the training and data collection to be useful, there were several barriers to collecting the data, including lack of staff time, and difficulty standardizing documentation within the clinic electronic health record.ConclusionsResults suggest that training clinics to monitor their performance and base QI initiatives on data has potential to impact clinical best practice. While data collection was inconsistent, clinics completed several data-informed QI initiatives, indicating that smaller scale data collection might be more attainable.

Prioritizing patient experience: Validation of the person-centered contraceptive counseling measure as a performance measure

ObjectiveA performance measure assessing how often patients experience patient-centered contraceptive counseling can inform quality improvement in contraceptive care and enable efforts to enhance equity in the provision of this care. We sought to test the validity and reliability of the Person-Centered Contraceptive Counseling (PCCC) measure as a performance measure, in preparation for application for endorsement from the National Quality Forum. Study designWe combined data from two research studies, a statewide quality improvement assessment, and a dedicated data collection effort at nine sites, all collected between 2009 and 2019 at 22 total sites in the United States, to evaluate the validity and reliability of the four-item PCCC measure aggregated at the provider and facility level. We scored the PCCC dichotomously as a "top-box" score of 20 versus less than 20. We assessed reliability using the Spearman-Brown coefficient, and validity by comparing scores on the PCCC to aggregated scores on single-item measures of patient satisfaction. ResultsWe included 22 facilities and 34 providers in the analyses. The average PCCC top-box score by provider and facility was 81% and 79%, respectively. We found adequate reliability with panel sizes of 20–50. PCCC scores were strongly associated with the single-item measures of satisfaction. There were notable disparities by race/ethnicity and language (Spanish vs English) in PCCC scores. DiscussionThe PCCC is a valid and reliable performance measure for use at the provider and facility level. The development and use of the measures of patient experience, like the PCCC, is critical for prioritizing patient-centeredness in reproductive health care. ImplicationsThe PCCC measure can facilitate the identification of gaps and disparities in patient-centered contraceptive counseling and enable quality improvement to promote quality, equitable contraceptive care. Using this measure provides the opportunity to enhance patient experience of care and build trust between contraceptive providers and the communities they serve.

The complex evolution of information quality improvement in competitive market

Information is important market resource. High-quality information is beneficial to increase enterprise’s reputation and reduce consumer’s verification cost. This paper constructs a two-layer dynamic model, in which enterprises simultaneously conduct price and information game. The goal of profit maximization integrates two types of games into one system. The complex evolution of the two-layer system are studied by equilibrium analysis, stability analysis, bifurcation diagram, entropy and Lyapunov exponent. It is found that improving the information quality through regulations will increase involution and reduce stability of the market. Then, the block chain technology is introduced into the model for improving information quality of the market. It is found that increasing enterprises’ willingness to adopt block chain can improve the information quality quickly and effectively, and that is verified by entropy value. Therefore, the application and promotion of new technologies are more effective than exogenous regulations for improving information quality in market.

Estimation of Camera’s Noise by Uniform Target Segmentation

This article proposes a method for evaluating digital camera noise. The method allows to estimate all four noise components: light and dark fixed-pattern (spatial) and temporal noise. We need to register only two scenes: dark and uniform light. Dark spatial and dark temporal noise is measured from two dark frames. Light temporal and light spatial noise is estimated from two light frames using automatic segmentation of a uniform target (ASUT). Noise of visible range (silicon) cameras of four types was measured: consumer Canon EOS M100, machine vision PixeLink PL-B781F, microscope Retiga R6, and scientific MegaPlus II ES11000. Obtained noise values are equal to that ones for the EMVA Standard 1288 within the value spread. The difference is 0.1% (dark temporal), 1.0% (dark spatial), 1.3% (light spatial), and 2.5% (light temporal) only. The proposed method provides a fast and accurate camera noise estimation. This can be used to improve information quality and speed of light registration systems.

Rates and predictors of hospital and emergency department care after catheter ablation of atrial fibrillation.

Although atrial fibrillation (AF) ablation has become increasingly safer, rehospitalization and emergency department (ED) evaluations can occur in the postablation period. Better understanding of the frequency, causes, and predictors for hospitalization and ED evaluation after ablation are needed, particularly as same-day discharge programs expand. The Optum Clinformatics database was used to define rates, causes, and predictors of hospital and ED care after AF ablation performed between January 2016 and May 2019. Primary outcomes were all-cause hospital and ED care within 30 days of discharge. Independent predictors of all-cause ED and hospital admissions care were determined via logistic regression. Of the 18 848 patients in this study, the mean age was 67.5 ± 10 years, 37.9% were female, and the mean CHA2 DS2 -VASc score was 3.27 ± 1.84. Within 30 days of AF ablation, 1440 of 18 848 patients (7.6%) required hospital care of which 15% had >1 admission; 7.9% required ED care of which 28.6% had >1 ED visit. The most common reasons for hospital admission (which occurred on average 12.3 days after discharge) were supraventricular tachycardia (SVT) or AF (33.2%), heart failure (12.7%), and infection (12.2%). The most common reasons for ED care were SVT/AF (15.0%), noncardiac chest pain (13.3%), and noninfectious respiratory illness (12.2%). Age, female sex, ablation in an inpatient setting, and co-morbidities were associated with increased risk of rehospitalization. Age, female sex, patient comorbidities, and non-use of direct oral anticoagulation were associated with increased risk of ED visit. Approximately 7%-8% of patients require unplanned hospitalization or ED care after AF ablation, most commonly due to SVT/AF. Predictors of unscheduled care include patient age, sex, and several patient comorbidities. This study can inform quality improvement initiatives by identifying common causes for unscheduled care.

Effects of government electronic service quality on citizen satisfaction with integrated service delivery in urban areas

In the effort to achieve good and effective public services to gain public satisfaction and trust, the use of public electronic services (e-services) is expected to improve service quality. Public e-services offer better options for processing digital data. With increasing internet access, the use of e-services as a vehicle for delivering various public services is a promising development in the public sector. By maintaining and improving service quality, especially in the public sector, the use of internet/online services or public e-services will make users feel more satisfied and increase public trust. This study aims to determine the effect of electronic service quality on citizen satisfaction with public e-services. A quantitative research methodology was adopted. Data was collected by distributing online questionnaires to users of public e-service applications, totaling 150 respondents in Bandung, Indonesia. The sampling technique used was a purposive, non-probability-based sampling method. The data analysis technique was Structural Equation Modeling (SEM) using Smart software. The test results show that information quality, data security, and data privacy have a significant effect on e-service quality, which, in turn, has implications for citizen satisfaction. Based on the results of this study, we advise public e-services institutions to maintain and improve the quality of e-services by improving information quality, data security, and data privacy to increase user trust in public e-services.