scholarly journals Quality of Information Regarding Repair Restorations on Dentist Websites: Systematic Search and Analysis

10.2196/17250 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e17250
Author(s):  
Philipp Kanzow ◽  
Amelie Friederike Büttcher ◽  
Annette Wiegand ◽  
Falk Schwendicke
Keyword(s):  
Decision Making ◽  
Risk Of Bias ◽  
Shared Decision ◽  
Linear Modeling ◽  
Quality Of Information ◽  
Generalized Linear Modeling ◽  
Functional Aspects ◽  
German Speaking ◽  
Generic Quality

Background Repairing instead of replacing partially defective dental restorations represents a minimally invasive treatment concept, and repairs are associated with advantages over complete restoration replacement. To participate in the shared decision-making process when facing partially defective restorations, patients need to be aware of the indications, limitations, and advantages or disadvantages of repairs. Patients are increasingly using the internet to gain health information like this online. Objective We aimed to assess the quality of German-speaking dentist websites on repairs of partially defective restorations. Methods Three electronic search engines were used to identify German-speaking websites of dental practices mentioning repairs. Regarding information on repairs, websites were assessed for (1) technical and functional aspects, (2) comprehensiveness of information, and (3) generic quality and risk of bias. Domains 1 and 3 were scored using validated tools (LIDA and DISCERN). Comprehensiveness was assessed using a criterion checklist related to evidence, advantages and disadvantages, restorations and defects suitable for repairs, and information regarding technical implementation. Generalized linear modeling was used to assess the impact of practice-specific parameters (practice location, practice setting, dental society membership, and year of examination or license to practice dentistry) on the quality of information. An overall quality score was calculated by averaging the quality scores of all three domains and used as primary outcome parameter. Quality scores of all three domains were also assessed individually and used as secondary outcomes. Results Fifty websites were included. The median score of quality of information was 23.2% (interquartile range [IQR] 21.7%-26.2%). Technical and functional aspects (55.2% [IQR 51.7%-58.6%]) showed significantly higher quality than comprehensiveness of information (8.3% [IQR 8.3%-16.7%]) and generic quality and risk of bias (3.6% [IQR 0.0%-7.1%]; P<.001/Wilcoxon). Quality scores were not related to practice-specific parameters (P>.05/generalized linear modeling). Conclusions The quality of German-speaking dentist websites on repairs was limited. Despite sufficient technical and functional quality, the provided information was neither comprehensive nor trustworthy. There is great need to improve the quality of information to fully and reliably inform patients, thereby allowing shared decision making.

scholarly journals Quality of Information Regarding Repair Restorations on Dentist Websites: Systematic Search and Analysis (Preprint)

2019 ◽  
Author(s):  
Philipp Kanzow ◽  
Amelie Friederike Büttcher ◽  
Annette Wiegand ◽  
Falk Schwendicke
Keyword(s):  
Decision Making ◽  
Risk Of Bias ◽  
Shared Decision ◽  
Linear Modeling ◽  
Quality Of Information ◽  
Generalized Linear Modeling ◽  
Functional Aspects ◽  
German Speaking ◽  
Generic Quality

BACKGROUND Repairing instead of replacing partially defective dental restorations represents a minimally invasive treatment concept, and repairs are associated with advantages over complete restoration replacement. To participate in the shared decision-making process when facing partially defective restorations, patients need to be aware of the indications, limitations, and advantages or disadvantages of repairs. Patients are increasingly using the internet to gain health information like this online. OBJECTIVE We aimed to assess the quality of German-speaking dentist websites on repairs of partially defective restorations. METHODS Three electronic search engines were used to identify German-speaking websites of dental practices mentioning repairs. Regarding information on repairs, websites were assessed for (1) technical and functional aspects, (2) comprehensiveness of information, and (3) generic quality and risk of bias. Domains 1 and 3 were scored using validated tools (LIDA and DISCERN). Comprehensiveness was assessed using a criterion checklist related to evidence, advantages and disadvantages, restorations and defects suitable for repairs, and information regarding technical implementation. Generalized linear modeling was used to assess the impact of practice-specific parameters (practice location, practice setting, dental society membership, and year of examination or license to practice dentistry) on the quality of information. An overall quality score was calculated by averaging the quality scores of all three domains and used as primary outcome parameter. Quality scores of all three domains were also assessed individually and used as secondary outcomes. RESULTS Fifty websites were included. The median score of quality of information was 23.2% (interquartile range [IQR] 21.7%-26.2%). Technical and functional aspects (55.2% [IQR 51.7%-58.6%]) showed significantly higher quality than comprehensiveness of information (8.3% [IQR 8.3%-16.7%]) and generic quality and risk of bias (3.6% [IQR 0.0%-7.1%]; <i>P</i>&lt;.001/Wilcoxon). Quality scores were not related to practice-specific parameters (<i>P</i>&gt;.05/generalized linear modeling). CONCLUSIONS The quality of German-speaking dentist websites on repairs was limited. Despite sufficient technical and functional quality, the provided information was neither comprehensive nor trustworthy. There is great need to improve the quality of information to fully and reliably inform patients, thereby allowing shared decision making.

Optimizing patient adherence to stroke rehabilitation: A mixed method telerehabilitation trial (Preprint)

2021 ◽  
Author(s):  
Isabelle Gaboury ◽  
Michel Tousignant ◽  
Hélène Corriveau ◽  
Matthew Menear ◽  
Guylaine Le Dorze ◽  
...  
Keyword(s):  
Decision Making ◽  
Shared Decision Making ◽  
Stroke Rehabilitation ◽  
Patient Adherence ◽  
Interprofessional Collaboration ◽  
Interdisciplinary Collaboration ◽  
Control Group ◽  
Shared Decision ◽  
The Impact

BACKGROUND Strong evidence supports beginning stroke rehabilitation as soon as the patient’s medical status has stabilized and continuing following discharge from acute care. However, adherence to rehabilitation treatments over the rehabilitation phase has been shown to be suboptimal. OBJECTIVE Objective: The aim of this study is to assess the impact of a telerehabilitation platform on stroke patients’ adherence to a rehabilitation plan and on their level of reintegration to normal social activities, in comparison with usual care. The primary outcome is patient adherence to stroke rehabilitation (up to 12 weeks), which is hypothesized to influence reintegration to normal living. Secondary outcomes for patients include functional recovery and independence, depression, adverse events related to telerehabilitation, use of services (up to 6 months), perception of interprofessional shared decision making, and quality of services received. Interprofessional collaboration as well as quality of interprofessional shared decision making will be measured on clinicians. METHODS In this interrupted time series with a convergent qualitative component, rehabilitation teams will be trained to develop rehabilitation treatment plans that engage the patient and family, while taking advantage of a telerehabilitation platform to deliver the treatment. The intervention will entail 220 patients to receive stroke telerehabilitation with an interdisciplinary group of clinicians (telerehabilitation) versus face-to-face, standard of care (n = 110 patients). RESULTS Results: Our Research Ethics Board has approved the study in June 2020. Data collection for the control group is underway, with another year planned before we begin the intervention phase. CONCLUSIONS This study will contribute to minimize both knowledge and practice gaps, while producing robust, in-depth data on the factors related to the effectiveness of telerehabilitation in a stroke rehabilitation continuum. Findings will inform best practices guidelines regarding telecare services and the provision of telerehabilitation, including recommendations regarding effective interdisciplinary collaboration regarding stroke rehabilitation. CLINICALTRIAL ClinicalTrials.gov NCT04440215

Improving the Perception of Patient-Centered Wellness in a Virtual Population During the COVID-19 Pandemic

2021 ◽  
pp. JDNP-D-20-00078
Author(s):  
Sybilla Myers ◽  
Christopher Kennedy
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Shared Decision Making ◽  
Cognitive Theory ◽  
Well Being ◽  
Mobile App ◽  
Shared Decision ◽  
Patient Centered ◽  
The Social

BackgroundPerceived health-related quality of life (HRQOL) is fundamental to well-being and is a meaningful way to measure physical and mental health.Local ProblemNo standard method exists for measuring perceived HRQOL during the COVID-19 pandemic in participants as they attempt to improve their self-determined wellness goals. An implementation plan that considers the social distancing limitations imposed can be used to predict an individual’s likelihood of long-term success.MethodsDuring the four, 2-week plan-do-study-act (PDSA) cycles, the Social Cognitive Theory model informed the implementation of the four core interventions. To guide iterative changes, the data was analyzed through Excel and run charts.InterventionsThe four core interventions were the shared decision-making tool (SDMT), health mobile app tool (HMAT), wellness tracker tool (WTT), and the team engagement plan.ResultsAmong 28 participants, perceived quality of life increased by 70%, engagement in shared decision-making increased to 82%, app use and confidence increased to 85%, and goal attainment reached 81%.ConclusionsThe SDMT, health app, and wellness tracker created a methodical plan of accountability for increasing participant wellness. The contextual barrier of the COVID-19 pandemic added a negative wellness burden which was mitigated by creating a patient-centered culture of wellness.

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

scholarly journals Quality Assurance in Knowledge Data Warehouse

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Noisy Data ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Quality Of Information ◽  
External Data ◽  
Existing Data

Knowledge discovery is the process of adding knowledge from a large amount of data. The quality of knowledge generated from the process of knowledge discovery greatly affects the results of the decisions obtained. Existing data must be qualified and tested to ensure knowledge discovery processes can produce knowledge or information that is useful and feasible. It deals with strategic decision-making for an organization. Combining multiple operational databases and external data create the data warehouse. This treatment is very vulnerable to incomplete, inconsistent, and noisy data. Data mining provides a mechanism to clear this deficiency before finally stored in the data warehouse. This research tries to give technique to improve the quality of information in the data warehouse.

scholarly journals Refusal to Travel in the National Ambulance Service. A Patient Care Report examination.

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Eamonn Byrne ◽  
Sasha Selby ◽  
Paul Gallen ◽  
Alan Watts
Keyword(s):  
Decision Making ◽  
Patient Care ◽  
Shared Decision Making ◽  
Vital Signs ◽  
Ambulance Service ◽  
Guidance Document ◽  
Shared Decision ◽  
Clinical Guidance ◽  
Decision Making Model

<p><strong>Introduction</strong></p><p>Every patient has the right to refuse treatment and, or transport (RTT) to hospital (1). The National Ambulance Service (NAS) has operated under a clinical guidance document that requires an assessment of patient capacity and a baseline amount of data to be gathered on every patient to facilitate the patient making an informed decision (2,3). An increase in the rate of non-conveyance of patients and refusal to travel calls as well as an increasing number of complaints prompted a quality improvement initiative based on improving and facilitating a shared decision-making model.</p><p><strong>Aim</strong></p><p>For patients who RTT, to establish a baseline quality of information collected and recorded on a Patient Care Report.</p><p><strong>Methods</strong></p><p>All NAS incidents closed with a refusal of treatment or transport, from 1<sup>st</sup> Jan 2017 to 9<sup>th</sup> November 2017 were identified from National Emergency Operation Centre (NEOC). A random selection of 75 Patient care reports (52 Paper and 23 Electronic) were identified and reviewed. Compliance with the refusal to travel guidance document was measured.</p><p><strong>Results</strong></p><p>31% of paper PCR’s reviewed were missing a complete set of vital signs. An average of 48.4 % (Median 48.4% Range 36.5% to 61.5%) were missing a complete second set of vital signs. 17.3% of combined forms were missing the patient’s chief complaint and 38.7% had no practitioner clinical impression entered. 24% had no capacity assessment completed.</p><p><strong>Conclusion</strong></p><p>Clinical information recorded by NAS staff did not meet the clinical guidance document requirements. It is impossible to assess what information was given to a patient to facilitate a shared decision-making model. The quality of NAS documentation can be improved for patients who refuse to travel.</p>

scholarly journals Evaluating COVID-19 Vaccination Website using DISCERN and QUality Evaluation Scoring (QUEST) Tools

2021 ◽  
Author(s):  
Akash Gajanan Prabhune ◽  
Aishwarya Mallavaram ◽  
Sachin Bhat ◽  
Samridhi Pandey ◽  
Ayesha Mehar Shagufta ◽  
...  
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Ease Of Use ◽  
Average Score ◽  
Quality Of Information ◽  
Member States ◽  
Critical Information ◽  
Minor Elements ◽  
Selection Of

Abstract Background: The objective of this paper was to evaluate the COVID-19 vaccine registration website across UN-recognized member states for their portal quality, reliability, Ease Use and help to the general population in informed decision making.Methods: 12 UN member states (Countries) were selected based on the inclusion and exclusion criteria mentioned in the methodology section of this paper. PPS technique was used for sampling and selection of 12 countries from 193 UN member states. Post selection of UN member states the study used 2 step evaluation techniques, Step 1 The DISCERN checklist consists of 16 questions in three sections and is aimed to assess the reliability of information and quality of information; Step 2 The QUEST tool consists of 6 items with a subitem, Authorship, Attribution, Conflict of Interest, Complementarity, Currency, Tone. The authors developed a standard set of instructions for evaluating Vaccination Portals to bring uniformity in understanding and context setting.Results: DISCERN tool overall reliability score on the Likert scale of 0 to 5 was 4 (SD ± 1.28). On Quality of information regarding treatment choices, the average score was 3.4 (SD ± 1.67). The QUEST tool on ease of use, concision, and comprehensiveness demonstrated an average score of 18.1 (SD ± 8.3) out of 28.The vaccine registration portal of the Czech Republic was found to be most informative and was able to provide a piece of scientifically valid information on safety, efficacy, long-term short effects, choice of vaccine with attributable authors details. India, Bangladesh, Nigeria, South Africa scored relatively low to missing critical information on the website. The United Arab Emirates, Republic of South Korea, Indonesia, Australia, and Argentina had minor elements missing.Conclusions: COVID-19 vaccination portals vary in the quality of information and many were found unable to provide critical information for decision making on getting vaccinated

Knowledge-Intensive Entrepreneurship in the Economy of the European Union

2014 ◽  
pp. 43-52
Author(s):  
G. Olevsky
Keyword(s):  
Decision Making ◽  
Knowledge Production ◽  
The European Union ◽  
Quality Of Information ◽  
The Matrix ◽  
Knowledge Intensive ◽  
Knowledge Intensive Entrepreneurship ◽  
The Eu

The article studies role of knowledge in business and analyzes tendencies of the formation of knowledge-intensive entrepreneurship (business) in the EU. It is shown that for small and medium-sized enterprises prospects of expansion of knowledge production and sales of products and services are associated with the internationalization of business. The author proposes the matrix of decision-making entrepreneurs, depending on the completeness and quality of information at their disposal on the market.

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