Acceptability of a telecare intervention for persistent musculoskeletal pain

2016 ◽  
Vol 24 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Rebecca E Guilkey ◽  
Claire B Draucker ◽  
Jingwei Wu ◽  
Zhangsheng Yu ◽  
Kurt Kroenke
Keyword(s):  
Musculoskeletal Pain ◽  
Text Messaging ◽  
Pain Treatment ◽  
Median Number ◽  
Stepped Care ◽  
Free Text ◽  
Web Based ◽  
Patient Feedback ◽  
User Friendly ◽  
Patient Use

Introduction Persistent musculoskeletal pain is a prevalent, disabling, and often undertreated condition. This paper examines the acceptability of a telecare intervention for this condition. Methods The Stepped Care to Optimize Pain Care Effectiveness (SCOPE) intervention couples automatic symptom monitoring (ASM) with optimized analgesic care management by a nurse-physician team. Data from participants in the telecare intervention arm (n = 124) of a randomized control trial of SCOPE were analysed to determine the acceptability of the telecare intervention as indicated by patient use and satisfaction. Results Most (93.5%) patients completed at least one ASM report, selecting equally web-based (49%) or interactive voice-recorded (51%) reporting. The median number of ASM reports and nurse contacts per patient was 15 and 12, respectively. Of 12 demographic and clinical factors examined, none predicted the number of ASM reports, whereas nurse contacts were more frequent in patients with higher pain severity or receiving opioids. Only a minority of ASM reports required an expedited nurse call, with the most frequent alerts being for a medication change, a nurse call or side effects. Most (92%) patients rated ASM as easy to use and found the ASM reporting (76%) and nurse contacts (81%) very or moderately helpful. Nearly three-fourths of patients rated their overall pain treatment as good to excellent. The most common suggestions from patient feedback were for a free-text messaging function, more frequent nurse contact and less redundancy in ASM reporting items. Discussion Participants generally found the telecare intervention a user-friendly and helpful approach for treating persistent musculoskeletal pain.

scholarly journals NLP-Based Customer Loyalty Improvement Recommender System (CLIRS2)

2021 ◽  
Vol 5 (1) ◽  
pp. 4
Author(s):  
Katarzyna Anna Tarnowska ◽  
Zbigniew Ras
Keyword(s):  
Customer Loyalty ◽  
Recommender System ◽  
Opinion Mining ◽  
Structured Data ◽  
Free Text ◽  
Web Based ◽  
Knowledge Based ◽  
Mining Algorithm ◽  
Sentiment Score ◽  
User Friendly

Structured data on customer feedback is becoming more costly and timely to collect and organize. On the other hand, unstructured opinionated data, e.g., in the form of free-text comments, is proliferating and available on public websites, such as social media websites, blogs, forums, and websites that provide recommendations. This research proposes a novel method to develop a knowledge-based recommender system from unstructured (text) data. The method is based on applying an opinion mining algorithm, extracting aspect-based sentiment score per text item, and transforming text into a structured form. An action rule mining algorithm is applied to the data table constructed from sentiment mining. The proposed application of the method is the problem of improving customer satisfaction ratings. The results obtained from the dataset of customer comments related to the repair services were evaluated with accuracy and coverage. Further, the results were incorporated into the framework of a web-based user-friendly recommender system to advise the business on how to maximally increase their profits by introducing minimal sets of changes in their service. Experiments and evaluation results from comparing the structured data-based version of the system CLIRS (Customer Loyalty Improvement Recommender System) with the unstructured data-based version of the system (CLIRS2) are provided.

The Role of Web Based Accounting Online System 2.0 as the Company's Income and Expense Management

2017 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Nur Azizah ◽  
Dedeh Supriyanti ◽  
Siti Fairuz Aminah Mustapha ◽  
Holly Yang
Keyword(s):  
Financial Management ◽  
Accounting System ◽  
Bank Account ◽  
Web Based ◽  
Online System ◽  
Version 2.0 ◽  
User Friendly ◽  
The Impact ◽  
A Company

In a company, the process of income and expense of money must have a profit-generating goal base. The success of financial management within the company, can be monitored from the ability of the financial management in managing the finances and utilize all the opportunities that exist with as much as possible with the aim to control the company's cash (cash flow) and the impact of generating profits in accordance with expectations. With a web-based online accounting system version 2.0, companies can be given the ease to manage money in and out of the company's cash. It has a user friendly system with navigation that makes it easy for the financial management to use it. Starting from the creation of a company's cash account used as a cash account and corporate bank account on the system, deletion or filing of cash accounts, up to the transfer invoice creation feature, receive and send money. Thus, this system is very effective and efficient in the management of income and corporate cash disbursements.   Keywords:​Accounting Online System, Financial Management, Cash and Bank

Web-Based Peer and Self-Assessment System Design and Development for Elementary School Students

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Mehmet EMIN KORTAK
Keyword(s):  
Elementary School ◽  
Elementary School Students ◽  
Primary Schools ◽  
Peer Assessment ◽  
Assessment System ◽  
Assessment Process ◽  
School Students ◽  
Self Assessment ◽  
Web Based ◽  
User Friendly

This research aimed at designing and improving the web-based integrated peer and self- assessment. WesPASS (web-based peer-assessment system), developed in this research, allows students to assess their own or their peers’ performance and project assignments and to report about the result of these assessments so that they correct their assignments. This study employed design-based research. The participants included 102 fourth grade primary school students and their 4 teachers from 2 state and 2 private primary schools in Ankara, Kecioren (Turkey) who employed the system and were engaged in a questionnaire survey to assess its quality. The findings were analyzed through quantitative data analysis. The findings revealed that the system can be used by elementary school students for peer and self-assessment system. The participants stated that WesPASS is simple and user-friendly, and it accelerates the assessment process by employing information technology and allows to share opinions 

Patient feedback on a new method of consulting with the GP; an analysis of responses by users of online triage software

2018 ◽  
Vol 68 (suppl 1) ◽  
pp. bjgp18X696773
Author(s):  
Abi Eccles ◽  
Mike Hopper ◽  
Helen Atherton
Keyword(s):  
Free Text ◽  
Telephone Consultation ◽  
Face To Face ◽  
Potential Barriers ◽  
Online Consultation ◽  
Patient Feedback ◽  
Levels Of Use ◽  
Negative Perceptions ◽  
Context Dependent ◽  
Feedback Data

BackgroundOnline triage software is a new way to triage patients online that allows patients to describe their problem via an online form. A GP then contacts the patient to arrange either a face-to-face or telephone consultation.AimThis study aimed to explore use of online consultation software and gain insight into patients’ experiences of using online consultations, identifying potential barriers and facilitators to use.MethodThis is a mixed methods retrospective study analysing data about patient users and their associated feedback. Data from a sample of 5591 patients were quantitatively analysed to describe characteristics of users. 576 out of the 5591 users left free-text feedback comments on their experience of use. These were thematically analysed.ResultsThe highest levels of use were observed in 25–35-year olds and lowest from those aged >65. Key themes identified included convenience, consultation quality, appropriateness, resource-use and functionality. Within each, a range of subthemes were present representing both positive and negative perceptions, suggesting that experiences of using online triage varied and were often context-dependentConclusionThere are various advantages to online triage software, but these are context-dependent. Therefore, such applications should be offered as an additional way to contact the GP surgery, rather than a replacement for more established methods, to ensure appropriate and equal access for patients.

scholarly journals Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review

2021 ◽  
Vol 28 (1) ◽  
pp. e100262
Author(s):  
Mustafa Khanbhai ◽  
Patrick Anyadi ◽  
Joshua Symons ◽  
Kelsey Flott ◽  
Ara Darzi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Social Media ◽  
Natural Language Processing ◽  
Natural Language ◽  
Patient Experience ◽  
Language Processing ◽  
Performance Metrics ◽  
Free Text ◽  
Patient Feedback

ObjectivesUnstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of the literature on the use of natural language processing (NLP) and machine learning (ML) to process and analyse free-text patient experience data.MethodsDatabases were systematically searched to identify articles published between January 2000 and December 2019 examining NLP to analyse free-text patient feedback. Due to the heterogeneous nature of the studies, a narrative synthesis was deemed most appropriate. Data related to the study purpose, corpus, methodology, performance metrics and indicators of quality were recorded.ResultsNineteen articles were included. The majority (80%) of studies applied language analysis techniques on patient feedback from social media sites (unsolicited) followed by structured surveys (solicited). Supervised learning was frequently used (n=9), followed by unsupervised (n=6) and semisupervised (n=3). Comments extracted from social media were analysed using an unsupervised approach, and free-text comments held within structured surveys were analysed using a supervised approach. Reported performance metrics included the precision, recall and F-measure, with support vector machine and Naïve Bayes being the best performing ML classifiers.ConclusionNLP and ML have emerged as an important tool for processing unstructured free text. Both supervised and unsupervised approaches have their role depending on the data source. With the advancement of data analysis tools, these techniques may be useful to healthcare organisations to generate insight from the volumes of unstructured free-text data.

scholarly journals The Metano Modeling Toolbox MMTB: An Intuitive, Web-Based Toolbox Introduced by Two Use Cases

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 113
Author(s):  
Julia Koblitz ◽  
Sabine Will ◽  
S. Riemer ◽  
Thomas Ulas ◽  
Meina Neumann-Schaal ◽  
...  
Keyword(s):  
Metabolic Networks ◽  
Point Of View ◽  
Use Cases ◽  
Mathematical Methods ◽  
State Behavior ◽  
Web Based ◽  
Research Fields ◽  
Balance Analysis ◽  
Metabolic Models ◽  
User Friendly

Genome-scale metabolic models are of high interest in a number of different research fields. Flux balance analysis (FBA) and other mathematical methods allow the prediction of the steady-state behavior of metabolic networks under different environmental conditions. However, many existing applications for flux optimizations do not provide a metabolite-centric view on fluxes. Metano is a standalone, open-source toolbox for the analysis and refinement of metabolic models. While flux distributions in metabolic networks are predominantly analyzed from a reaction-centric point of view, the Metano methods of split-ratio analysis and metabolite flux minimization also allow a metabolite-centric view on flux distributions. In addition, we present MMTB (Metano Modeling Toolbox), a web-based toolbox for metabolic modeling including a user-friendly interface to Metano methods. MMTB assists during bottom-up construction of metabolic models by integrating reaction and enzymatic annotation data from different databases. Furthermore, MMTB is especially designed for non-experienced users by providing an intuitive interface to the most commonly used modeling methods and offering novel visualizations. Additionally, MMTB allows users to upload their models, which can in turn be explored and analyzed by the community. We introduce MMTB by two use cases, involving a published model of Corynebacterium glutamicum and a newly created model of Phaeobacter inhibens.

scholarly journals An Interactive Web Application for the Statistical Analysis of Continuous Glucose Monitoring Data in Epidemiological Studies

2021 ◽  
pp. 193229682098557
Author(s):  
Alysha M. De Livera ◽  
Jonathan E. Shaw ◽  
Neale Cohen ◽  
Anne Reutens ◽  
Agus Salim
Keyword(s):  
Continuous Glucose Monitoring ◽  
Web Application ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Epidemiological Studies ◽  
Interactive Software ◽  
Web Based ◽  
Software Applications ◽  
Visualization Of Data ◽  
User Friendly

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.

Pain and Psychological Outcomes Among Iraq and Afghanistan Veterans with Chronic Pain and PTSD: ESCAPE Trial Longitudinal Results

Pain Medicine ◽  
2020 ◽  
Vol 21 (7) ◽  
pp. 1369-1376
Author(s):  
Matthew J Bair ◽  
Samantha D Outcalt ◽  
Dennis Ang ◽  
Jingwei Wu ◽  
Zhangsheng Yu
Keyword(s):  
Chronic Pain ◽  
Musculoskeletal Pain ◽  
Pain Catastrophizing ◽  
Psychological Outcomes ◽  
Stepped Care ◽  
Chronic Musculoskeletal Pain ◽  
Pain Severity ◽  
Analysis Of Covariance ◽  
Escape Trial ◽  
Care Intervention

Abstract Objective To compare pain and psychological outcomes in veterans with chronic musculoskeletal pain and comorbid post-traumatic stress disorder (PTSD) or pain alone and to determine if veterans with comorbidity respond differently to a stepped-care intervention than those with pain alone. Design Secondary analysis of data from the Evaluation of Stepped Care for Chronic Pain (ESCAPE) trial. Setting Six Veterans Health Affairs clinics. Subjects Iraq and Afghanistan veterans (N = 222) with chronic musculoskeletal pain. Methods Longitudinal analysis of veterans with chronic musculoskeletal pain and PTSD or pain alone and available baseline and nine-month trial data. Participants randomized to either usual care or a stepped-care intervention were analyzed. The pain–PTSD comorbidity group screened positive for PTSD and had a PTSD Checklist–Civilian score ≥41 at baseline. Results T tests demonstrated statistically significant differences and worse outcomes on pain severity, pain cognitions, and psychological outcomes in veterans with comorbid pain and PTSD compared with those with pain alone. Analysis of covariance (ANCOVA) modeling change scores from baseline to nine months indicated no statistically significant differences, controlling for PTSD, on pain severity, pain centrality, or pain self-efficacy. Significant differences emerged for pain catastrophizing (t = 3.10, P < 0.01), depression (t = 3.39, P < 0.001), and anxiety (t = 3.80, P < 0.001). The interaction between PTSD and the stepped-care intervention was not significant. Conclusions Veterans with the pain–PTSD comorbidity demonstrated worse pain and psychological outcomes than those with chronic pain alone. These findings indicate a more intense chronic pain experience for veterans when PTSD co-occurs with pain. PTSD did not lead to a differential response to a stepped-care intervention.

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