A scoping review of feeding decision aids for patients with advanced dementia
10.3760/cma.j.cn115682-20230202-00323
- VernacularTitle:晚期痴呆患者喂养方式决策辅助工具的范围综述
- Author:
Hongling XIA
1
;
Yurong XING
;
Wenhui XU
;
Xiaoxiao WANG
;
Yayi ZHAO
;
Yaping DING
Author Information
1. 南京医科大学护理学院，南京 211166
- Keywords:
Dementia;
Feeding;
Decision support techniques;
Scoping review
- From:
Chinese Journal of Modern Nursing
2023;29(24):3349-3355
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To carry out a scoping review on feeding decision aids in patients with advanced dementia, clarify the characteristics, functions, and application effects of the tools, so as to provide reference for further clinical research.Methods:The research on feeding decision aids for patients with advanced dementia was systematically searched on China National Knowledge Infrastructure (CNKI) , VIP, WanFang Data, and the China Biomedical Literature Library, PubMed, Web of Science, Embase, and Cochrane Library. The search period was from database establishment to August 2022. Two researchers independently selected literature based on inclusion and exclusion criteria, extracted, summarized and analyzed data from the included literature.Results:A total of 8 decision aids were included. The main types included web-based decision aids, paper text decision support manuals, audio manual form decision aids, and a combination of various forms of decision aids. Decision aids provided dementia feeding related information to patients and surrogate decision-makers, analyzed the advantages and disadvantages of different feeding methods, helped clarify their value preferences, and assisted them in making feeding decisions. The evaluation of application effectiveness mainly included outcome indicators such as knowledge, decision conflict, decision regret, decision satisfaction, frequency of doctor-patient communication, and acceptability and effectiveness of decision aids.Conclusions:Decision aids have played a positive role in selecting feeding methods for dementia patients and surrogate decision-makers. Under the background of "Internet + nursing service", we can learn from the experience of foreign research and make full use of artificial intelligence technology to explore scientific and feasible personalized decision aids, so as to provide demand based decision support for patients and their surrogate decision-makers and improve the quality of decisions.
