Digital Feedback Systems Research Articles

Implementation of Measurement-Based Care in Mental Health Service Settings for Youth: A Systematic Review.

Measurement-Based Care (MBC) is the systematic use of patient-reported data to inform care decisions and monitor treatment progress. MBC has been shown to improve patient outcomes across medical and mental health treatment settings for adults and youth. While many studies have examined the use of MBC in specific care settings, few have focused on the implementation of MBC among youth populations or across care settings. While a review has shown that use of MBC benefits youth, no published reviews exist that summarize the successful strategies and barriers to implementation models across studies in youth service settings. To address these gaps, the present systematic review (N = 25 studies) focuses on the implementation of MBC across four youth service settings, including outpatient mental health centers, medical centers/pediatric clinics, schools, and clinical psychology training clinics. Results suggest that few studies employ consistent implementation models or strategies to guide efforts. Further, there is significant overlap in the successful strategies employed as well as the barriers to implementation of MBC across youth service settings, at the client, clinician, and organizational levels. Broadly, the authors recommend on the basis of findings that future implementation work in youth service settings: incorporate comprehensive training in the use of MBC for clinicians; incorporate stakeholder feedback into the implementation process for initial and sustained use; employ digital measurement feedback systems to deliver MBC that allow for real-time feedback and continuous technical support; and employ a health equity lens in implementation efforts to help address disparities in access to and use of MBC so that all youth and families may benefit from this evidence-based practice.

Addressing Sexual Harassment in Nigerian Higher Institutions Through the Feasibility of a Digital Anonymous Feedback System

Sexual harassment remains a persistent and pervasive issue in Nigerian higher institutions, yet incidents often go unreported due to fear, stigma, and distrust in existing reporting mechanisms. This study investigates the feasibility and effectiveness of introducing a digital anonymous feedback system for students as a proactive measure to curb sexual harassment on university campuses. The aim is to provide students with a safe and confidential platform to report incidents of harassment, thereby empowering them to speak out without fear of retaliation. Using a quantitative research approach, a questionnaire was administered to students from selected Nigerian federal universities to gather data on their perceptions of sexual harassment reporting, the potential impact of an anonymous digital feedback system, and recommendations for addressing the issue. Findings reveal significant barriers to traditional reporting systems, including fear of reprisal and lack of trust in institutional responses. However, there is strong support among students for implementing an anonymous digital feedback system, with confidentiality and accessibility cited as key benefits. Based on the findings, it is recommended that Nigerian higher institutions prioritize the introduction of digital anonymous feedback systems, dedicate sections of their websites for lecturer ratings and anonymous reporting, and conduct awareness and training programs on sexual harassment prevention, including claims verification measures. By implementing these strategies, universities can create safer and more inclusive learning environments where students feel empowered to report sexual harassment without fear of reprisal.

Efficacy of Real-Time Feedback Exercise Therapy in Patients Following Total Hip Arthroplasty: Protocol for a Pilot Cluster-Randomized Controlled Trial.

Osteoarthritis of the hip joint is an increasing functional and health-related problem. The most common surgical treatment is hip replacement to reduce pain and improve function. Rehabilitation after total hip arthroplasty (THA) is not regulated in Austria and mostly depends on the patient's own initiative and possibilities. Functional deficits, such as valgus thrust of the leg, functional Trendelenburg gait, or Duchenne limp, are characteristic symptoms before and, due to the performance learning effect prior to surgery, also after the operation. Addressing these deficits is possible through neuromuscular-focused exercise therapy. The efficacy of such therapy relies significantly on the quality of performance, the frequency of exercise, and the duration of engagement. Enhancing sustainability is achievable through increased motivation and real-time feedback (RTF) on exercise execution facilitated by digital feedback systems. This study will be performed to quantify the medium-term effectiveness of digital home exercise feedback systems on functional performance following THA. A clinical trial with a cluster-randomized, 2-arm, parallel-group design with an 8-week intervention phase and subsequent follow-ups at 3 and 6 months postsurgery will be conducted. Feedback during exercising will be provided through a blended-care program, combining a supervised group exercise program with a self-developed digital feedback system for home exercise. In total, 70 patients will be recruited for baseline. The primary outcome parameters will be the frontal knee range of motion, pelvic obliquity, and lateral trunk lean. Secondary outcomes will be the sum scores of patient-reported outcomes and relevant kinematic, kinetic, and spatiotemporal parameters. The trial started in January 2024, and the first results are anticipated to be published by June 2025. RTF-supported home exercise is expected to improve exercise execution quality and therapeutic adherence compared to using paper instructions for excise guidance. The anticipated findings of this study aim to offer new insights into the effect of a blended-care program incorporating digital RTF on exercise therapy after unilateral THA, in addition to knowledge on the functional status 3 and 6 months postsurgery, for further improvement in the development of rehabilitation guidelines following THA. ClinicalTrials.gov: NCT06161194; https://clinicaltrials.gov/study/NCT06161194. PRR1-10.2196/59755.

Improving Emergency Service Quality and Patient Safety Through the Use of Cross-Sectoral Digital Feedback Systems - An Overview.

Feedback is essential for personal and professional development, also in emergency services. However, EMS usually ends at the interface with the emergency department, thus, the long-term effect of initiated emergency measures often remains unclear for emergency personnel. Digital, data-driven tools providing systematic feedback on patients' outcome may be valuable to improve emergency service quality and patient safety. To provide an overview about current approaches for cross-sectoral digital feedback systems in EMS. Literature review in PubMed/MEDLINE and Google Scholar in accordance with the PRISMA statement. The search resulted in 567 articles out of which only three were identified as eligible. In only one study cross-sectoral feedback was used to improve quality. Although feedback is described as a method for improving the quality of the rescue service and feedback is also considered in the description of the requirements for digitization, there seems to be no technical implementation of a cross-sectoral feedback system so far.

Factors affecting vaccination demand in Indonesia: a secondary analysis and multimethods national assessment

ObjectivesVaccine hesitancy remains a major barrier to immunisation coverage worldwide. We explored influence of hesitancy on coverage and factors contributing to vaccine uptake during a national measles–rubella (MR) campaign in...

Giving away some of their powers! Towards learner agency in digital assessment and feedback

Digital assessment and feedback have been a growing area of research and practice in the past decade in higher education. Within this theme, research has been published highlighting the importance of learner agency in the assessment and feedback process as a way to develop assessment literacy in contrast with the existing lecturer-led approach. In this research, we aimed to find out whether lecturers are willing to let go of some of the power they currently have in the digital assessment and feedback process and how they see opportunities for agency being developed in the digital assessment and feedback systems. We collected data from 10 sandpits with 58 lecturers in which, using a storytelling technique and one mock-up of a digital assessment and feedback system, we discussed and critiqued an assessment scenario intending to collect perceptions about digital assessment and feedback and the constraints felt by lecturers in their assessment practice. Based on these perceptions, we identify recommendations that may improve digital assessment and feedback systems and practices. We discuss the data and the recommendations based on three clusters of themes: (i) preparation for the assessment, (ii) formative feedback and (iii) feedback post-submission.

Deep Learning Control for Digital Feedback Systems: Improved Performance with Robustness against Parameter Change

Training data for a deep learning (DL) neural network (NN) controller are obtained from the input and output signals of a conventional digital controller that is designed to provide the suitable control signal to a specified plant within a feedback digital control system. It is found that if the DL controller is sufficiently deep (four hidden layers), it can outperform the conventional controller in terms of settling time of the system output transient response to a unit-step reference signal. That is, the DL controller introduces a damping effect. Moreover, it does not need to be retrained to operate with a reference signal of different magnitude, or under system parameter change. Such properties make the DL control more attractive for applications that may undergo parameter variation, such as sensor networks. The promising results of robustness against parameter changes are calling for future research in the direction of robust DL control.

Customer Loyalty in the Sharing Economy Platforms: How Digital Personal Reputation and Feedback Systems Facilitate Interaction and Trust between Strangers

Customer Loyalty in the Sharing Economy Platforms: How Digital Personal Reputation and Feedback Systems Facilitate Interaction and Trust between Strangers

“As good as your word”: face-threat mitigation and the use of instructor nonverbal cues on students’ perceptions of digital feedback

ABSTRACTResearch has established that students often consider the delivery of instructor feedback to be a face-threatening event. To minimize the potential negative effects of feedback, verbal and nonverbal face-threat mitigation (FTM) strategies are utilized by instructors. Advances in digital feedback systems, like online documents and learning management platforms, allow instructors to add nonverbal elements, such as profile pictures or emojis, to this feedback. Two mixed-method studies were employed to investigate the role of these nonverbal cues in digital feedback. Study 1 (N = 236) employed a 2 by 2 experiment (presence or absence of FTM tactics by presence or absence of instructor picture), showing that FTM strategies have substantial positive impact on feedback and instructor perceptions, and that the inclusion of instructor pictures with this feedback has no effect. Study 2 (N = 218) utilized a 2 by 2 experimental design (presence or absence of FTM tactics by presence or absence of matched-valence emojis). Results confirm main effects of FTM techniques (mitigation strategies lead to positive effects), but the addition of emojis had no perceptible influence. Implications for technology-driven instructional feedback are discussed.

A Digital Feedback System to Support Implementation of Measurement-Based Care by School-Based Mental Health Clinicians

Evidence supports the utility of measurement-based care (MBC) to improve youth mental health outcomes, but clinicians rarely engage in MBC practices. Digital measurement feedback systems (MFS) may reflect a feasible strategy to support MBC adoption and sustainment. This pilot study was initiated to evaluate the impact of a MFS and brief consultation supports to facilitate MBC uptake and sustainment among mental health clinicians in the education sector, the most common mental health service delivery setting for youth. Following an initial training in MBC, 14 clinicians were randomized to either a digital MFS and brief consultation supports or control. Baseline ratings of MBC attitudes, skill, and use were collected. In addition, daily assessment ratings tracked 2 core MBC practices (i.e., assessment tool administration, provision of feedback) over a 6-month follow-up period. Clinicians in the MFS condition demonstrated rapid increases in both MBC practices, whereas the control group did not significantly change. For clinicians in the MFS group, consultation effects were significant for feedback and approached significance for administration. Over the follow-up period, average decreases in the current study were moderate with only 1 of the 2 outcome variables (administration) decreasing significantly. Inspection of individual clinician trajectories revealed substantial within-group trend variation. MFS may represent an effective MBC implementation strategy beyond initial training, although individual clinician response is variable. Identifying feasible and impactful implementation strategies is critical given the ability of MBC to support precision health care.

Capabilities and Characteristics of Digital Measurement Feedback Systems: Results from a Comprehensive Review.

Measurement feedback systems (MFS) are a class of health information technology (HIT) that function as an implementation support strategy for integrating measurement based care or routine outcome monitoring into clinical practice. Although many MFS have been developed, little is known about their functions. This paper reports findings from an application of health information technology-academic and commercial evaluation (HIT-ACE), a systematic and consolidated evaluation method, to MFS designed for use in behavioral healthcare settings. Forty-nine MFS were identified and subjected to systematic characteristic and capability coding. Results are presented with respect to the representation of characteristics and capabilities across MFS.

Beam dynamics in synchrotrons with digital wideband transverse feedback systems

Current researches on beam dynamics in synchrotrons with digital wideband transverse feedback systems are reviewed. Particular attention is given to quantitative and qualitative regularities in frequency shifts and decrements of coherent betatron oscillation damping when feedback loop signals are digitally processed. Theoretical predictions are compared with the experimental data obtained at the Large Hadron Collider.

Beam stability in synchrotrons with digital transverse feedback systems in dependence on beam tunes

The beam stability problem in synchrotrons with a digital transverse feedback system (TFS) is studied. The TFS damper kicker (DK) corrects the transverse momentum of a bunch in proportion to its displacement from the closed orbit measured at the location of the beam position monitor (BPM). It is shown that the area and configuration of the beam stability separatrix depend on the beam tune, the feedback gain, the phase balance between the phase advance from BPM to DK and the phase response of the feedback chain at the betatron frequency.

Predictive control of fast output—sampled digital feedback systems via a polynomial approach

This paper describes the synthesis of model-based predictive controllers for multivariable digital feedback systems in which the plant output signals are measured at a faster rate than the controls are applied. In contrast with the recent literature devoted to multirate sampled-data system theory, where state-variable system representations are used exclusively, a polynomial modelling approach that exploits the frequency and switch decomposition techniques established in the 1950s is adopted. It is demonstrated that the principal advantage of fast output signal-sampled predictive control algorithms lies in their potential to suppress process and, particularly, measurement noise disturbances.

Polynomial LQG synthesis of subrate digital feedback systems

The paper describes the optimal synthesis of digital feedback systems in which the plant output signal is sampled at a faster rate than the control is activated. The design methodology is predicated upon the extension of the `polynomial equations' approach to multirate-sampled configurations via the use of input-output models constituting sets of cyclically time-varying difference equations.

Polynomial LQG design of subrate digital feedback systems via frequency decomposition

This paper describes the optimal synthesis of digital feedback systems in which the measured variable is sampled at a faster rate than the control is activated. Combining the ‘polynomial equations’ approach with frequency decomposition, the design methodology deals entirely with pulse-transfer function models and, computationally, requires only the solution of scalar spectral factorization and pole-placement problems. The relative influence of the ‘subrate’ LQG controller on closed-loop performance is assessed from results engendered by a series of numerical examples. Copyright © 2000 John Wiley & Sons, Ltd.

A Microprocessor Self-(Re)Training System on Computerized Automation

Some of the topics studied in discrete-time control are abstract. Also, the industrial applications of computerized automatic control suffer an inadequate functioning of system users due to lack of (re)training.The recent availability of microprocessors and screens now makes the provision of such a training facility a real possibility. An informatic “BOOK” is conceved to offer direct “hand-on” experience of operating on-line digital (micro)computer control feedback systems and the provision of analysing the efficacy of a range of different digital control algorithms, thus allowing basic concepts to be more immediately related to a realistic or simulated online control environment. The contents of each “page” of the “book” allows for a living dialogue and the training's autonomous success; this “book” gives us one of the possibilities how to integrate training on discrete-time control into systems design and implementation.

Matrix Representation of the Multiplying Properties of Binary Rate Multipliers

An exact representation of the multiplying property of a binary rate multiplier (BRM) is derived. The equations are in a simple matrix form with a common multiplier matrix, the order and elements of which are easily predicted for BRM's of any given bit magnitude. Equations are developed for particular input constraints and may be combined when more than one input constraint condition exists. The equations are of a form which is particularly useful in the analysis of digital feedback systems using BRM's.