scholarly journals Protocol for an experimental study to Design and Evaluate a Personalized Human Centered Dietary Decision Support System for use among diabetics in an Indian Setting. (Preprint)

2019 ◽  
Author(s):  
Dinesh Kumar ◽  
Ashok Bhardwaj ◽  
Shruti Sharma ◽  
Bhavya Malhotra ◽  
Chioma Amadi ◽  
...  
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support System ◽  
Support System ◽  
Diabetes Management ◽  
Intervention Group ◽  
Control Group ◽  
Diet Record ◽  
Study Participants

BACKGROUND Human-centered dietary decision support systems are fundamental to diabetes management, and they address limitations of existing diet management systems. OBJECTIVE The objective of the proposed study is to evaluate the use of an interactive telephone-linked Personalized Human Centered Decision Support System for facilitating the delivery of personalized nutrition care for diabetic patients METHODS A Quasi-experimental trial was conducted between the period of June and December, 2018. Study participants were recruited from: Community Health Center, Dharamshala, Kangra (urban population); and Model Rural Health Unit, Haroli Block, Una (rural population). Eligible participants included: adults aged 30 years and above; having both controlled and uncontrolled diabetes; agreeing to participate in the study; available for follow-up interview; and having telephone or computer at home. Diabetic status assessed by physician diagnosis. Individuals with mental or physical challenges affecting their ability to use an electronic diet record, those who were not available for a telephone follow-up, or involved in other protocols related to dietary assessments, were excluded. The study participants were randomized into two groups: Intervention (Telephone-linked Dietary Decision Support System); and Control group (Paper-based diet record). Study participants in the intervention group recorded their daily dietary intake using a telephone-linked Personalized Human Centered Dietary Decision Support System (PHCDDSS), and also received personalized feedback/diet education via SMS. Study participants in the control group were provided with only a paper-based diet record for documenting their daily dietary intake. Follow-up visits were conducted at months 3 and 6 from the baseline, in both groups. Differences in diabetes knowledge, attitudes and practices (KAP) will be measured across groups. RESULTS Baseline data collection is now completed. Follow up data collection for months 3 and 6 is ongoing, and is expected to be completed by October, 2019. CONCLUSIONS We anticipate that the intervention group will show a significant change in nutrition knowledge, attitudes and practices (KAP), satisfaction with care, and overall diabetes management. We also expect to see urban rural-differences across the groups. The uniqueness of our nutrient data capture process is demonstrated through its cultural and contextually relevant features: diet capture in both English and Hindi, diet conversion into its caloric components, sustained diet data collection and participant adherence through telephone-linked care, and auto-generated reminders. CLINICALTRIAL Not registered

Design and evaluation of a wireless decision-support system for heart rate variability study in haemodialysis follow-up procedures

2007 ◽  
Vol 88 (3) ◽  
pp. 273-282 ◽  
Author(s):  
José García ◽  
Jesús D. Trigo ◽  
Álvaro Alesanco ◽  
Pedro Serrano ◽  
Javier Mateo ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Variability Study

Follow-up Intervention: Its Effect on Compliance Behavior to a Diabetes Regimen

1990 ◽  
Vol 16 (4) ◽  
pp. 291-295 ◽  
Author(s):  
Angela L. Estey ◽  
Meng H. Tan ◽  
Karen Mann
Keyword(s):  
Home Visit ◽  
Diabetes Management ◽  
Glycosylated Hemoglobin ◽  
Intervention Group ◽  
Dependent Diabetes Mellitus ◽  
Control Group ◽  
Standard Protocol ◽  
Weight Changes ◽  
Telephone Calls

This study tested the hypothesis that follow-up intervention (by telephone calls and home visit) affects compliance in patients with non-insulin-dependent diabetes mellitus (NIDDM). Sixty NIDDM patients were randomly assigned to two groups—a control group, which received the standard protocol (3-day educational program and a review session 1 month after the program); and an intervention group, which received the standard protocol as well as a series offour telephone calls and one home visit by a registered nurse over a 3-month period. Compliance to prescribed regimens was determined by analyzing three sets of data: changes in pre- to poststudy glycosylated hemoglobin (HbA1c) values; changes in pre- to poststudy weight; and frequency with which self-monitoring of blood glucose (SMBG) was practiced. Results showed that SMBG practice was significantly better for the intervention group. No significant differences were seen in poststudy HbA 1c values and weight changes between the two groups. Follow-up inter vention by telephone calls and home visit can enhance patient compliance to certain aspects of the prescribed diabetes management plan.

scholarly journals Application of Weighted Product (WP) Method in Decision Support of Unmer Madiun Rector Election

2020 ◽  
Vol 3 (2) ◽  
pp. 74
Author(s):  
Pradityo Utomo ◽  
Arief Budiman
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support System ◽  
Support System ◽  
System Development ◽  
Computing Time ◽  
Secondary Data ◽  
Product Method ◽  
Selection Parameters ◽  
Feasibility Test

<em>Universitas Merdeka Madiun (UNMER Madiun) is a private campus in Madiun, East Java, led by a Chancellor. The Chancellor served for four years. Prospective Chancellors choose through Senate consideration. The selection parameters include Curriculum Vitae, Vision and Mission, and Feasibility Test. In giving attention, debates often occur in Senate meetings. Based on this, this study created a system based on information technology that can help in making decisions. Decision Support System made using the Weighted Product method. Because in terms of computing time is faster than other SPK methods, so it is faster in making decisions. The criteria used to determine decisions using the assessment parameters used in the 2019 Chancellor election. The flow of this research starts from the stage of data collection, library research, making a decision support system, and testing the system. At the stage of data collection, it was done by collecting secondary data such as the parameter parameters in the selection of the Chancellor, which then is used for the criteria data. Furthermore, in making decision support systems using prototyping system development methods. After the system is created, the system tested. For the results of this study have been successfully applied Weighted Product method to support the decision of the Chancellor selection. Furthermore, the system that has tested using the BlackBox method evaluates the success of the system. Based on the results of system testing, the success rate of SPK that has made 100% successful results.</em>

scholarly journals Smart Diabetic Screening and Managing Software, A Novel Decision Support System

2018 ◽  
Vol 8 (3Sep) ◽  
Author(s):  
M Ghoddusi Johari ◽  
M H Dabaghmanesh ◽  
H Zare ◽  
A R Safaeian ◽  
Gh Abdollahifard
Keyword(s):  
Diabetes Mellitus ◽  
Decision Support ◽  
Chronic Disease ◽  
Decision Support System ◽  
Support System ◽  
Diabetes Care ◽  
Diabetes Management ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Diabetic Screening

Background: Diabetes is a serious chronic disease, and its increasing prevalence is a global concern. If diabetes mellitus is left untreated, poor control of blood glucose may cause long-term complications. A big challenge encountered by clinicians is the clinical management of diabetes. Many IT-based interventions such ad CDSS have been made to improve the adherence to the standard care for chronic diseases.Objective: The aim of this study is to establish a decision support system of diabetes management based on diabetes care guidelines in order to reduce medical errors and increase adherence to guidelines.Materials and Methods: To start the process, at first the existing guidelines in the field of diabetes mellitus such as ADA 2017 and AACE guideline 2017 were reviewed, and accordingly, flowcharts and algorithms for screening and managing of diabetes were designed. Then, it was passed on to the information technology team to design software.Results: The most significant outcome of this research was to establish a smart diabetic screening and managing software, which is an important stride to promote patients' health status, control diabetes and save patients' information as an important and reliable source. Conclusion: Health care technologies have the potential to improve the quality of diabetes care through IT-based intervention, such as clinical decision support systems. In a chronic disease like diabetes, the critical component is the disease management. The advantages of this web-based system are on-time registration, reports of diabetic prevalence, uncontrolled diabetes, diabetic complications and reducing the rate of mismanagement of diabetes, so that it helps the physicians in order to manage the patients in a better way.

scholarly journals A Development of Decision Support Systems Selection of Employee Acceptance Using Weighted Product Method

2019 ◽  
Vol 1 (2) ◽  
pp. 87-97
Author(s):  
Arief Herdiansah ◽  
Nurdiana Handayani ◽  
Alfan Kurniawan
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support System ◽  
Support System ◽  
Design Research ◽  
Selection Process ◽  
System Development ◽  
Methods Development ◽  
Product Method ◽  
The Right

Employee selection is an activity to get human resources for a company. Researchers conducted research at PT. Gajah Tunggal Tbk where currently the selection process still uses the conventional method, the current assessment of participants uses technical and non-technical tests with interview methods but at present the company does not yet have a standardized weighting of values tested, so companies sometimes have difficulty determining who should receive from the test participants. Based on the above conditions, researchers conducted decision support system design research using the Weighted Product method to assist companies in getting the right employees according to the employees' technical needs and abilities. Decision support system development refers to the results of data collection using qualitative and quantitative data collection methods. Development of decision support system is built based on the waterfall system development model using the PHP programming language. The system testing method uses the black box method. The design of decision support system from the recruitment selection generator from this study is expected to be a reference for the selection process of employees in similar industries with the place of research conducted by researchers.

scholarly journals A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Louise Fleng Sandal ◽  
Cecilie K. Øverås ◽  
Anne Lovise Nordstoga ◽  
Karen Wood ◽  
Kerstin Bach ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Decision Support ◽  
Pilot Study ◽  
Decision Support System ◽  
Support System ◽  
Self Management ◽  
Low Back

SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PRIORITAS PEMBANGUNAN DAERAH MENERAPKAN METODE PREFERENCE SELECTION INDEX (PSI)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Martina Klarasia Siahaan ◽  
Mesran Mesran ◽  
Sumiaty Adelina Hutabarat ◽  
Joli Afriany
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Data Collection ◽  
Decision Support System ◽  
Support System ◽  
System Development ◽  
Selection Index ◽  
Fund Allocation ◽  
Collection Data ◽  
Psi Method

This study aims to determine development priorities in 2018 Kota Medan District covering planning, use and evaluation of village development. This study uses qualitative research, with a case study strategy. The technique of collecting data is done by interviews, observation and documentation. Test the validity of data by triangulating data sources and data collection techniques. Data analysis uses determination techniques through data collection, data reduction, data presentation and conclusion. Evaluations for the Village Fund for 2017 include constraints faced during the implementation of development and allocation of village funds such as a lack of sense of responsibility between village officials in managing village funds, people who care about development are still few, and there is a lack of meetings to deliver information on village fund allocation to the community. The decision support system for determining village development priorities has stages, starting from selecting criteria, aspects to assessments that have been set, decision making difficulties in determining priorities and calculating weights. Related to this, the Preference Selection Index (PSI) method can be used to solve the problem. The results of the process are in the form of village rankings as a recommendation for decision making to choose as suitable occupies the designated fields. The results of the system supplementation, it was concluded that the use of this method can help the process of making prioritization of development, can be studied, quite easy to use, and produce information used.Keywords: Decision Support System, Development Priority, PSI

624-P: Sustained Effect in Diabetes Management Using a Digital Workflow and Decision Support System in Home Health Care

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 624-P
Author(s):  
JULIA KOPANZ ◽  
LARA K. SCHOLLE ◽  
KATHARINA M. LICHTENEGGER ◽  
GISELA AMBROSCH ◽  
ANGELA LIBISELLER ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Decision Support System ◽  
Home Health Care ◽  
Support System ◽  
Diabetes Management ◽  
Home Health ◽  
Digital Workflow ◽  
Sustained Effect
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