Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning

2011 ◽  
Author(s):  
Philip Worrall ◽  
Thierry Chaussalet
Keyword(s):  
Long Term Care ◽  
Care Planning ◽  
Term Care ◽  
Web Based ◽  
Model View Controller ◽  
Web Based System ◽  
Model View

Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Cloud System ◽  
Evidence Based ◽  
Methodological Study ◽  
Term Care ◽  
Web Based ◽  
Care Facilities ◽  
Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

Palliative care provision in long-term care facilities differs across Europe: Results of a cross-sectional study in six European countries (PACE)

2019 ◽  
Vol 33 (9) ◽  
pp. 1176-1188 ◽  
Author(s):  
Maud ten Koppel ◽  
Bregje D Onwuteaka-Philipsen ◽  
Lieve Van den Block ◽  
Luc Deliens ◽  
Giovanni Gambassi ◽  
...  
Keyword(s):  
Palliative Care ◽  
Advance Care Planning ◽  
Long Term Care ◽  
Care Planning ◽  
Care Provision ◽  
Cross Sectional ◽  
Term Care ◽  
Care Facilities ◽  
Advance Care

Background: While the need for palliative care in long-term care facilities is growing, it is unknown whether palliative care in this setting is sufficiently developed. Aim: To describe and compare in six European countries palliative care provision in long-term care facilities and to assess associations between patient, facility and advance care planning factors and receipt and timing of palliative care. Design: Cross-sectional after-death survey regarding care provided to long-term care residents in Belgium, England, Finland, Italy, the Netherlands and Poland. Generalized estimating equations were used for analyses. Setting/participants: Nurses or care assistants who are most involved in care for the resident. Results: We included 1298 residents in 300 facilities, of whom a majority received palliative care in most countries (England: 72.6%–Belgium: 77.9%), except in Poland (14.0%) and Italy (32.1%). Palliative care typically started within 2 weeks before death and was often provided by the treating physician (England: 75%–the Netherlands: 98.8%). A palliative care specialist was frequently involved in Belgium and Poland (57.1% and 86.7%). Residents with cancer, dementia or a contact person in their record more often received palliative care, and it started earlier for residents with whom the nurse had spoken about treatments or the preferred course of care at the end of life. Conclusion: The late initiation of palliative care (especially when advance care planning is lacking) and palliative care for residents without cancer, dementia or closely involved relatives deserve attention in all countries. Diversity in palliative care organization might be related to different levels of its development.

Long-Term Care Planning as a Cultural System

2004 ◽  
Vol 16 (2) ◽  
pp. 35-48 ◽  
Author(s):  
Patricia M. San Antonio ◽  
Robert L. Rubinstein
Keyword(s):  
Long Term Care ◽  
Care Planning ◽  
Term Care ◽  
Cultural System

scholarly journals What matters to me – a web-based preference elicitation tool for clients in long-term care: a user-centred design

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Catharina M. van Leersum ◽  
Albine Moser ◽  
Ben van Steenkiste ◽  
Marion Reinartz ◽  
Esther Stoffers ◽  
...  
Keyword(s):  
Long Term Care ◽  
Preference Elicitation ◽  
Term Care ◽  
Web Based ◽  
User Centred Design ◽  
What Matters

scholarly journals Understanding the Context for Long-Term Care Planning

2015 ◽  
Vol 73 (3) ◽  
pp. 349-368 ◽  
Author(s):  
Ila H. Broyles ◽  
Nina R. Sperber ◽  
Corrine I. Voils ◽  
R. Tamara Konetzka ◽  
Norma B. Coe ◽  
...  
Keyword(s):  
Long Term Care ◽  
Care Planning ◽  
Term Care

The Impact of a Shared Decision-Making Training Program on Dementia Care Planning in Long-Term Care

2018 ◽  
Vol 64 (4) ◽  
pp. 1123-1135 ◽  
Author(s):  
Elena Mariani ◽  
Rabih Chattat ◽  
Giovanni Ottoboni ◽  
Raymond Koopmans ◽  
Myrra Vernooij-Dassen ◽  
...  
Keyword(s):  
Decision Making ◽  
Training Program ◽  
Shared Decision Making ◽  
Long Term Care ◽  
Dementia Care ◽  
Care Planning ◽  
Shared Decision ◽  
Term Care ◽  
The Impact

scholarly journals What matters to me – A web-based preference elicitation tool for clients in long-term care: a user-centred design

2020 ◽  
Author(s):  
Catharina Margaretha van Leersum ◽  
Albine Moser ◽  
Ben van Steenkiste ◽  
Marion Reinartz ◽  
Esther Stoffers ◽  
...  
Keyword(s):  
Long Term Care ◽  
Well Being ◽  
Preference Elicitation ◽  
End Users ◽  
Term Care ◽  
Web Based ◽  
User Centred Design ◽  
Care Services ◽  
What Matters

Abstract Background: During the process of decision-making for long-term care, clients are often dependent on informal support and available information about quality ratings of care services. However, clients do not take ratings into account when considering preferred care, and need assistance to understand their preferences. A tool to elicit preferences for long-term care could be beneficial. Therefore, the aim of this qualitative descriptive study is to understand the user requirements and develop a web-based preference elicitation tool for clients in need of long-term care. Methods: We applied a user-centred design in which end-users influence the development of the tool. The included end-users were clients, relatives, and healthcare professionals. Data collection took place between November 2017 and March 2018 by means of meetings with the development team consisting of four users, walkthrough interviews with 21 individual users, video-audio recordings, field notes, and observations during the use of the tool. Data were collected during three phases of iteration: Look and feel, Navigation, and Content. A deductive and inductive content analysis approach was used for data analysis. Results: The layout was considered accessible and easy during the Look and feel phase, and users asked for neutral images. Users found navigation easy, and expressed the need for concise and shorter text blocks. Users reached consensus about the categories of preferences, wished to adjust the content with propositions about well-being, and discussed linguistic difficulties. Conclusion: By incorporating the requirements of end-users, the user-centred design proved to be useful in progressing from the prototype to the finalized tool ‘What matters to me’. This tool may assist the elicitation of client’s preferences in their search for long-term care.

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