Quality Survey Research Articles

Association Between Air Microbiological Exposure With Sick Building Syndrome (SBS) among College Dormitory Students in Public University

Introduction: Microbiological pollutants in indoor air can lead to sick building syndrome (SBS). A conducive academic environment in university dormitories requires healthy indoor air quality to enhance student performance. This study aimed to determine the association between indoor air microbiological exposure and SBS among college dormitory students at a public university. Methods: A cross-sectional study was conducted among 112 male and female college dormitory students who stayed in the public university dormitory for more than three months. Respondents were given a self-administered questionnaire-based NIOSH Indoor Environmental Quality Survey. 14 houses were selected for the measurement of indoor air quality which included PM2.5, PM10, relative humidity (%), temperature (°C), air velocity (m/s), indoor bacterial concentration (cfu/m3), and indoor mould concentration (cfu/m3). Results: Higher percentages of SBS symptoms were reported among female (94.6%) college dormitory students compared to male (82.1%). A significant difference in itching symptom on the arms and forearms was found among individuals of different genders (p<0.05). Indoor air parameters such as temperature (OR = 2.56, 95% CI = 2.66-9.87), relative humidity (OR = 1.77, 95% CI = 1.54 – 5.79), indoor bacteria concentration (OR=2.28, 95% CI = 2.48 – 10.93), and indoor mould concentration (OR=2.59, 95% CI = 1.75 – 8.98) were significantly associated with the recent SBS symptoms. Multiple logistic regression showed that the most significant predictor of SBS was indoor mould concentration. Conclusion: Exposure to high concentrations of indoor bacteria and mould, high temperatures, and high relative humidity influenced the prevalence of SBS among college dormitory students. Further assessment and preventive action need to be taken to reduce the exposure of indoor air microbiological to the students.

Goodness Of Fit Test In Structural Equation Modeling with Unweighted Least Square (ULS) Estimation Method

Structural equation model (SEM) is a multivariate analysis method that is used to describe a linear relationship simultaneously between indicator variables and latent variables. There are several estimation methods in SEM, one of them is Unweighted Least Square (ULS). The method doesn‟t have specific assumptions about the distribution of variables. This study aims to estimate the model using the ULS method and see the influence of employee competency variables and library facilities on the quality of service at the University of Lampung library. Survey of quality of service in the library of Lampung University is used in the research. Based on the results of the study, it is found that from the three suitability tests, namely the overall model test, the structural model test and the measurement model test using ULS estimation give good results in explaining the compatibility between the model and observation results.

OrthoPass: Long-term Outcomes following Implementation of an Orthopaedic Patient Handoff Template.

Standardized handoff tools improve communication and patient care; however, their widespread use in surgical fields is lacking. OrthoPass, an orthopaedic adaptation of I-PASS, was developed in 2019 to address handoff concerns and demonstrated sustained improvements across multiple handoff domains over an 18-month period. We sought to characterize the longitudinal effect and sustainability of OrthoPass within a single large residency program 3.5 years after its implementation. This mixed methods study involved electronic handoff review for quality domains in addition to survey distribution and evaluation. We conducted comparative analyses of handoff adherence and survey questions as well as a thematic analysis of provider-free responses. We evaluated 146 electronic handoffs orthopaedic residents, fellows, and advanced practice providers 3.5 years after OrthoPass implementation. Compared with 18-month levels, adherence was sustained across five of nine handoff domains and was markedly improved in two domains. Furthermore, provider valuations of OrthoPass improved regarding promoting communication and patient safety (83% versus 70%) and avoiding patient errors and near misses (72% versus 60%). These improvements were further substantiated by positive trends in Agency for Healthcare Research and Quality Surveys on Patient Safety Culture hospital survey data. Thematic analysis of free responses shared by 37 providers (42%) generated favorable, unfavorable, and balanced themes further contextualized by subthemes. At 3.5 years after its introduction, OrthoPass continues to improve patient handoff quality and to support provider notions of patient safety. Although providers acknowledged the benefits of this electronic handoff tool, they also shared unique insights into several drawbacks. This feedback will inform ongoing efforts to improve OrthoPass.

Psychosocial Well-Being of Siblings of Pediatric Patients in Palliative Home Care.

Despite the proposed high burden of siblings of children and adolescents with life-limiting conditions receiving pediatric palliative care (PPC) at home, little is known about their psychosocial well-being. In this prospective, cross-sectional trial siblings of patients of a large pediatric palliative home care team were asked to answer the KINDL survey of health-related quality of life, the strengths and difficulties questionnaire (SDQ) to assess problems and resources of children and adolescents as well as the LARES questionnaire, a potential tool for early screening of distress in siblings of chronically ill children. The results of the KINDL total and subdomains as well of the SDQ-subdomains were compared to recent German normative data using multiple t-tests. In total, 44 siblings (28 female; age 7-18 years, mean 11.8 ± 3.03) of 29 families participated in this study. The subgroup which matches the age range of current normative data of 11-17 years old siblings (n=25) reported a significant lower total quality of life as measured by KINDL in comparison to normative data. Subscale analyses revealed a significant lower physical and psychological well-being and self-esteem. Siblings of PPC patients yielded significant higher scores in the subdomain prosocial behavior compared to normative data as measured by the SDQ. Siblings of children receiving PPC in a home care setting are at risk for a relevant impairment of their health-related quality of life. Future studies should address the potential for possible interventions specific for this population-at-risk.

Milk Quality Prediction Using Machine Learning

Milk is the main dietary supply for every individual. High-quality milk shouldn't contain any adulterants. Dairy products are sold everywhere in society. Yet, the local milk vendors use a wide range of adulterants in their products, permanently altering the evaporated. Using milk that has gone bad can have serious health consequences. On October 18 of this year, the Food Safety and Standards Authority of India (FSSAI), the nation's top food safety authority, released the final result of the National Milk Safety and Quality Survey (NMSQS) and declared the milk readily available in India to be "mostly safe." According to an FSSAI survey, 68.4% of the milk in India is tainted. The quality of milk cannot be checked by any equipment or special system. Milk that has not been pasteurized has not been treated to get rid of harmful bacteria. Infected raw milk may contain Salmonella, Campylobacter, Cryptosporidium, E. coli, Listeria, Brucella, and other dangerous pathogens. These microorganisms pose a major risk to your family's health. Manually analyzing the various milk constituents can be very challenging when determining the quality of the milk. Analyzing and discovering with the aid of machine learning can help with this endeavor. Here a machine learning-based milk quality prediction system is developed. The proposed technology has shown 99.99% classification accuracy.

IOT: Key Automation Solution to Efficate the Lean System in Manufacturing Industry

The research paper is based on the secondary data of the published literature review. The paper is informative to the current and future techno-functional trends and transformations required in the industry for its growth. The research study is to make aware of the use of automation technologies like the Internet of Things (IoT) as an efficient and effective solution to lean implementation in the manufacturing and engineering industry. The research study is done to understand the strategic techniques and their applications of lean manufacturing systems. And add to it the use of technologies like Industrial IoT (IIoT), which will help the manufacturing industry to smoothly implement lean system. The study uses secondary data only and is kept for future research on quality and quantitative survey aspects to study the impact and effectiveness on financial performance and human resource productivity using automation for lean manufacturing systems.

The effect of a workplace wellness program on disability, function and pain in healthcare providers workers with low back pain-outcomes of 3040 academic health center employees.

(1) Identification of musculoskeletal risk factors for healthcare providers suffering low back pain (LBP) and the creation of risk profiles for those individuals and (2) analyze the impact of a workplace wellness program on healthcare providers who suffer from low back pain. A total of 3040 employees at an academic healthcare center underwent a computer-adaptive survey of health-related quality of life (HRQOL), biometric tests, and a disability and functional movement assessment as part of the workplace wellness program (WWP). Clinical interventions with a rehabilitation specialist were offered to employees identified as at risk for low back pain. Data collected were analyzed using descriptive methods and multivariable regressions to address the study objectives. Of the 3040 healthcare providers enrolled in this study, 77% identified with non-specific LBP with greater weakness, numbness, reduced flexibility, and physical activity. The major predictive risk factors for LBP were Patient-Reported Outcomes Measurement Information System (PROMIS) pain interference score, PROMIS fatigue, previous work injury, flexibility, numbness, PROMIS social function, level of education, and BMI. Healthcare providers with LBP who completed the WWP improved in most dimensions of HRQOL and disability and functional outcomes. A high proportion of healthcare providers suffer from LBP as a result of the nature of their work. Disability and functional outcomes measurements and PROMIS results quantitatively assess healthcare providers with LBP. Organizations can develop injury mitigation programs to target employees at high risk of LBP using the risk factors we identify. Completion of the WWP was associated with improvements in disability, HRQOL and functional measures.

ANALISIS PELAYANAN RUMAH SAKIT UMUM DENGAN PERBANDINGAN ANTARA METODE ALGORITMA KMEANS, DAN K-MEDOIDS CLUSTERING

Hospitals are part of a health system that aims to provide comprehensive individual health services. Services include inpatient, outpatient, and emergency care. Hospitals must provide high-quality services according to existing standards and serve all levels of society. Understanding customers' needs, wants, and demands will provide Another factor that affects the quality of health services is the availability of resources and service facilities during the insurance period. Lack of continuity of service affects the efficiency and quality of the relationship. The quality of health services is also strongly influenced by the ease of information and timeliness of public hospital services. Based on data from 341 hospital service quality surveys, the results obtained from the K-Means algorithm method are 2.701288, while the results obtained in the K-Methoids Clustering method are 2.17, where the General Hospital service questionnaire is a very satisfied category. A comparison of the results of the K-Means and K-Medoids methods aims to make it easier to measure customer satisfaction.

High-frequency dissolved oxygen dynamics in an urban estuary, the Long Island Sound.

The seasonal occurrence of deep-water hypoxia in western Long Island Sound (LIS) has been documented for decades by water quality cruise surveys and fixed mooring buoys. While previous studies have focused on factors modulating bottom dissolved oxygen (DO) at subtidal timescales, here we analyze continuous timeseries data from a moored buoy during summers 2021 and 2022 to examine factors controlling high-frequency fluctuations in surface and bottom DO at diurnal and semidiurnal timescales. Fluctuations in surface DO at diurnal timescales are associated with biological production, while fluctuations in bottom DO near semidiurnal timescales are associated with horizontal advection of DO by tides from the upper East River tidal strait into western LIS. Results from timeseries analysis are supported by weekly cruise surveys that resolve horizontal and vertical DO gradients in the western narrows. However, inferences regarding the duration of hypoxia during a given summer vary across datasets in part because weekly survey data do not resolve dominant timescales of variability within a particular summer. While prior studies have illustrated the importance of nutrient loading, stratification, and wind in controlling the development of hypoxia, the results presented here demonstrate the role of tidal advection in modulating hypoxia in far western LIS. Despite stronger stratification in 2021, the duration of hypoxia was 11.1 days shorter compared to 2022 in part due to greater advection of DO by tidal currents that intermittently increased bottom DO near the buoy. Furthermore, five-year averaged hypoxic area in the western narrows has increased since 2017, which highlights the spatially variable response of DO to nutrient load reductions. Future analysis of hypoxia in LIS should focus on leveraging high-frequency information contained in continuous datasets to improve estimates of hypoxia based on less temporally resolved water quality surveys.

“Great food, but the noise?”: Relationship between perceived sound quality survey and non acoustical factors in one hotel restaurant in Italy

The empirical assessment of the quality of the sound landscape in restaurants and how it affects the overall customer experience has only recently begun to be addressed. Noise from recreational activities, such as discos, restaurants, bars, hotels, etc., characterizes the soundscape of tourist centers, where there is a need to ensure the coexistence of noisy commercial activities and the right to rest of citizens customers of accommodation facilities, often already compromised by traffic. Although there is a renewed sensitivity to the issue of noise, restaurants are often characterized by poor acoustics and a poor multi-sensory perception of comfort. This article examines the noise levels of a hotel’s dining room in an Italian tourist resort during lunch and dinner hours. The study included aspects related to the acoustics, lighting, and quality of the location, also for the assessment of the perception of comfort obtained was given to customers a questionnaire of satisfaction during the meal, every day for a week. Considering the correlation between the three components of the soundscape, namely people, sound, and the environment under consideration, this study aims to explore the effects of the soundscape on sound restoration for accommodation facilities in tourist resorts.

Importance of indoor environmental quality surveys for evaluating renovation effects

Evaluating indoor environmental quality (IEQ) after renovations is crucial, as it notably impacts occupant satisfaction and productivity. Here, we aimed to analyze the differences in IEQ evaluation before and after the renovation of old heating, ventilation, and air conditioning (HVAC) equipment on one floor of a research institute building in Korea. To evaluate the renovation effect, sensor measurements and surveys were used to conduct both quantitative and qualitative analyses. The consistency and accuracy of the data were maintained by permitting the same occupants to assess IEQ before and after the renovation using an online survey system. Additionally, to verify the renovation effect, IEQ evaluations were also performed between renovated and not renovated floors during the same period. Statistical analysis revealed that HVAC renovation improved relative humidity and air quality among quantitative IEQ parameters and increased thermal comfort, total satisfaction, and productivity among occupants. The proposition suggests that showcasing enhanced IEQ will have a substantial impact on promoting widespread acceptance and adoption of building renovations. In particular, the analysis showed that surveys are a comprehensive and diverse method for learning about IEQ improvements after renovations.

Evaluating the Quality of Pain Management Satisfaction Among Oncology Patients in a Hospital Setting: Psychometric Properties of the Arabic Version of Pain Care Quality Survey.

The purpose of this mixed-methods psychometric study was to translate and adapt the Arabic Pain Care Quality (APainCQ) Survey to Arabic and to measure the quality of pain care provided to Arab patients. This study used an iterative, mixed-methods approach that employed cognitive interviews, expert content analysis, and factor analysis to develop the APainCQ Survey. The study was conducted at Dubai Hospital, Dubai Health Authority, United Arab Emirates. Arabic-speaking patients admitted to the oncology/hematology inpatient units with a minimum 24-hour stay were eligible for the study. The sample consisted of 155 patients. The iterative exploratory factor analysis process resulted in the sequential removal of three items. The results of the significant Bartlett test (P < .001) of sphericity and Kaiser-Meyer-Olkin test of 0.93 for both the health care team scale and the nurse scale. The total variance explained was 76.17% for the health care team scale and 60.91% for the nurse scale, which explained 56.51% for factor 1 with 14 items and 4.40% for factor 2. Regarding internal consistency reliability, Cronbach's alpha and McDonald's omega for the health care team scale and nurse scale were high; both values were .95. Internal consistency reliability of pain assessment and pain management subscales of nurse scales were also high, with values of 0.96 and 0.79, respectively. Moreover, there was a moderate correlation (r = 0.66; P < .001) between the two subscales in the nurse scale. This study provides evidence that the APainCQ is a reliable and valid measure of pain dimensions, including pain management and monitoring. This APainCQ scale can potentially expand research and clinical assessment in the Arab world.

COVID-19 GEÇİRİP İYİLEŞMİŞ KİŞİLER VE KONTROLLERDE COVID-19 PANDEMİSİNİN FİZİKSEL VE SOSYAL ETKİLERİNİN KARŞILAŞTIRILMASI: BİR VAKA KONTROL ÇALIŞMASI

Purpose: To compare the fatigue and dyspnea level, respiratory function, mental fatigue, sleep quality, and social influence of the COVID-19 pandemic in convalescent and controls and to explore the relationship between these characteristics in both groups.&#x0D; Methods: A total of 352 participants, including COVID-19 convalescent (n=176) and controls (n=176), participated in this study. The following instruments were used by online technologies: Visual Analog Scale (VAS) to investigate fatigue and dyspnea level, Single Breath Counting (SBC) test to measure respiratory function, Wood Mental Fatigue Inventory (WMFI) to evaluate mental fatigue, Pittsburg Sleep Quality Index (PSQI) to assess the sleep quality and Social Influences Survey Questionnaire (SISQ) to investigate social influences of the pandemic. &#x0D; Results: COVID-19 convalescents reported higher levels of tiredness, dyspnea, and mental fatigue than controls (p

Analysis of pharmaceutical service quality and satisfaction level of healthcare and social security agency patients at Hadji Boejasin Pelaihari Hospital

Background: Pharmaceutical services are services that are provided directly and responsibly to patients, related to medicines, to achieve accurate results that enhance patient quality of life. Hospitals are required to provide health services that meet optimal service standards. The quality of service in the hospital is very important because, with good service, patient satisfaction will also have a positive impact on the hospital. Objective: The purpose of this research is to analyze the quality of pharmaceutical services and the level of satisfaction of BPJS patients at Hadji Boejasin Pelaihari Hospital. Method: A cross-sectional survey design with a targeted sampling design was used in this study. The research method was a questionnaire containing structured questions to quantify each variable studied. Results: According to the quality survey results, pharmaceutical services were 85.96% (according) and 14.03% (not appropriate), while patient satisfaction had a reliability dimension of 78.63% (very satisfied), responsiveness of 77.82% (very satisfied), assurance of 83.01% (very satisfied), empathy of 80.47% (very satisfied), and tangible of 82.53% (very satisfied). Conclusion: From the average of the five dimensions, a result of 547.4 was obtained with an average patient satisfaction index of 80.49%

An Evaluation of Sun-Glint Correction Methods for UAV-Derived Secchi Depth Estimations in Inland Water Bodies

This study investigates the application of unoccupied aerial vehicles (UAVs) equipped with a Micasense RedEdge-MX multispectral camera for the estimation of Secchi depth (SD) in inland water bodies. The research analyzed and compared five sun-glint correction methodologies—Hedley, Goodman, Lyzenga, Joyce, and threshold-removed glint—to model the SD values derived from UAV multispectral imagery, highlighting the role of reflectance accuracy and algorithmic precision in SD modeling. While Goodman’s method showed a higher correlation (0.92) with in situ SD measurements, Hedley’s method exhibited the smallest average deviation (0.65 m), suggesting its potential in water resource management, environmental monitoring, and ecological modeling. The study also underscored the quasi-analytical algorithm (QAA) potential in estimating SD due to its flexibility to process data from various sensors without requiring in situ measurements, offering scalability for large-scale water quality surveys. The accuracy of SD measures calculated using QAA was related to variability in water constituents of colored dissolved organic matter and the solar zenith angle. A practical workflow for SD acquisition using UAVs and multispectral data is proposed for monitoring inland water bodies.

Analysis of Royal Prima Hospital service with a comparison between the K-Means Algorithm method and K-Medoids Clustering

Hospitals are an integral component of the health system, aimed at providing comprehensive individual healthcare. This includes inpatient, outpatient, and emergency services. For hospitals to be competitive, it is imperative that they offer high-quality services, adhere to standards, and serve all demographics. Drawing data from 341 Hospital Service Quality Surveys, the development of hospitals allows patients to determine which institution best meets their care needs. One of the challenges is ensuring patient satisfaction, thus building trust in the provided services. Factors influencing the quality of health services include the availability of resources, service facilities during the insurance period, ease of accessing information, and timeliness of services. The Royal Prima Medan Hospital emphasizes the utmost importance of public safety in its services. The study aims to understand the influence of responsibility and reliability on insurance company safety. This research is a descriptive analytical study conducted at the Royal Prima Medan Hospital, located at Puskesmas Padang Bulan. Data collection methods ranged from observation, questionnaires, interviews, documentation to literature review. The analysis compared the results of the K-Means and K-Methoids Clustering algorithms, with the K-Means method yielding five clusters and a satisfaction score of 2.701288, while the K-Methoids method resulted in two clusters with a satisfaction score of 2.71. The comparative analysis revealed that the K-Methoids Clustering method produces fewer clusters than the K-Means method.

How do we PI? Results of an EAST quality, patient safety, and outcomes survey

BackgroundQuality improvement is a cornerstone for any verified trauma center. Conducting effective quality and performance improvement, however, remains a challenge. In this study, we sought to better explore the landscape...

Assessment of Visual Habituation Measured With the Halo & Glare Simulator and Its Impact on Patient Satisfaction Following Quadrifocal IOL Implantation.

To evaluate the levels of habituation and its influence on outcome satisfaction in patients who underwent bilateral multifocal intraocular lens (IOL) implantation. A total of 24 patients underwent bilateral multifocal IOL implantation surgery with the AcrySof IQ PanOptix trifocal diffractive IOL (Alcon Laboratories, Inc) following cataract extraction or for refractive purposes. Data were collected 3 and 6 months after surgery, which included subjective refraction, corrected and uncorrected visual acuity (distance, intermediate, near), a contrast sensitivity test, simulation with the Halo & Glare Simulator (Carl Zeiss Meditec AG), two visual quality surveys, and a slit-lamp examination by an ophthalmologist. All patients were spectacle independent for distance vision and 92% (n = 22) needed no visual aid for near vision. Minor visual acuity improvement was detected between both examinations at monocular uncorrected distance visual acuity (P = .025). Improvements of presence, size, and intensity of visual disturbances were not statistically significant, but overall patient satisfaction (P = .009) and Weber-Contrast sensitivity under mesopic conditions (P = .029) increased significantly. Diffractive multifocal IOLs are a stable treatment for presbyopia and/or cataract with a high spectacle independence rate. Visual disturbances caused by their optics do not decrease significantly between 3 and 6 months after surgery. Habituation and neuroadaptation play a significant role in patient satisfaction and contrast sensitivity during and possibly beyond that period. [J Refract Surg. 2023;39(8):510-517.].

Estimating the prevalence of poor-quality anti-TB medicines: a neglected risk for global TB control and resistance

ObjectivesTuberculosis (TB) remains a major global public health problem, especially with the recent emergence of multidrug-resistant TB and extensively drug-resistant TB. There has been little consideration of the extent of...

Quality and Safety Practices Among Academic Obstetrics and Gynecology Departments.

The objective was to quantify resources devoted to quality and patient safety initiatives, to document the development and use of key performance indicator reports regarding patient outcomes and patient feedback, and to assess the culture of safety within academic obstetrics and gynecology departments. Chairs of academic obstetrics and gynecology departments were asked to complete a quality and safety assessment survey. Surveys were distributed to 138 departments, yielding 52 completed responses (37.7%). Five percent of departments reported including a patient representative on a quality committee. Most committee leaders (60.5%) and members (67.4%) received no compensation. Formal training was required in 28.8% of responding departments. Most departments monitored key performance metrics for inpatient outcomes (95.9%). Leaders scored their departments' culture of safety highly. Most departments provided no protected time to faculty devoted to quality efforts, generation of key performance indicators for inpatient activities was prevalent and integrating patient and community input remain unrealized opportunities.