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数字化支持的护理管理方案对减少痴呆患者家庭照顾者未满足需求的效果:一项群组随机对照试验(GAIN)的研究方案。

Effectiveness of a digitally supported care management programme to reduce unmet needs of family caregivers of people with dementia: study protocol for a cluster randomised controlled trial (GAIN).

机构信息

German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Rostock, Germany.

German Center for Neurodegenerative Diseases (DZNE), site Rostock/Greifswald, Greifswald, Germany.

出版信息

Trials. 2021 Jun 16;22(1):401. doi: 10.1186/s13063-021-05290-w.

Abstract

BACKGROUND

Up to two-thirds of dementia care is provided by family caregivers who often experience high burden, little support and adverse health outcomes. Enabling and supporting family caregivers to provide care at home prevents early institutionalisation of the person with dementia and alleviates the economic burden of dementia in the long term. General practitioners (GPs), as the first point of contact, have a key role in identifying and managing burden and care needs of family caregivers. However, in routine care, this opportunity is often limited by time constraints and even if caregiver needs are recognised, detailed information about regionally available support and advice on healthcare services is often lacking.

METHODS

This is a cluster randomised, controlled trial investigating the clinical use and cost-effectiveness of a digitally supported care management programme for caregivers of people with dementia (PwD). Five hundred family caregivers will be randomised at GP offices, specialist practices and memory clinics, with about n=250 participants per arm. Participants are eligible if they are the primary family caregiver of a PwD, are at least 18 years of age and provide informed consent. Participants in the intervention group will receive an individualised care management plan, which will be carried out by qualified study nurses in collaboration with the treating GP. All participants will receive a baseline assessment and a 6-months follow-up assessment. Participants in the wait-list control group will receive usual care. Starting at the 6 months' follow-up, the former controls will also receive an individualised management plan. Primary outcomes are the number of unmet needs (incl. the Camberwell Assessment of Need for the Elderly, CANE) and health-related quality of life (EQ-5D-5L) at 6 months. Secondary outcomes include caregiver burden (Zarit Burden Interview, ZBI), social support (Lubben Social Network Scale, LSNS), the use of medical and non-medical services (Questionnaire for the Use of Medical and Non-Medical Services, FIMA) and resource utilisation (Resource Utilisation in Dementia, RUD). The primary analysis will be based on intention-to-treat. Between- and within-group analyses and a cost-effectiveness analysis will be conducted to estimate the effect of the tablet PC-based care management programme. This trial is funded by the German Federal Joint Committee (G-BA) Innovation Fund.

DISCUSSION

The findings of this trial will be useful in informing and improving current healthcare system structures and processes to support family dementia caregivers within routine care practices.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04037501 . Registered on 30 July 2019.

摘要

背景

多达三分之二的痴呆症护理由家庭照顾者提供,他们通常负担过重、支持甚少,且健康状况不佳。使家庭照顾者能够在家中提供护理,可以防止痴呆症患者过早入院,并从长期来看减轻痴呆症的经济负担。全科医生(GP)作为第一联系点,在识别和管理家庭照顾者的负担和护理需求方面发挥着关键作用。然而,在常规护理中,由于时间限制,这种机会往往受到限制,即使认识到照顾者的需求,关于地区可用支持的详细信息和有关医疗保健服务的建议也往往缺乏。

方法

这是一项针对痴呆症患者(PwD)家庭照顾者的数字支持护理管理计划的临床使用和成本效益的集群随机对照试验。将在全科医生办公室、专科诊所和记忆诊所对 500 名家庭照顾者进行随机分组,每组约 250 名参与者。如果他们是 PwD 的主要家庭照顾者,年龄至少为 18 岁并表示同意,则有资格参加。干预组的参与者将获得个性化的护理管理计划,该计划将由合格的研究护士与主治 GP 合作实施。所有参与者都将进行基线评估和 6 个月的随访评估。等候名单对照组的参与者将接受常规护理。从 6 个月的随访开始,以前的对照组也将获得个性化的管理计划。主要结果是 6 个月时未满足的需求数量(包括坎伯韦尔老年人需求评估,CANE)和健康相关生活质量(EQ-5D-5L)。次要结果包括照顾者负担(Zarit 负担访谈,ZBI)、社会支持(Lubben 社会网络量表,LSNS)、医疗和非医疗服务的使用(医疗和非医疗服务使用问卷,FIMA)和资源利用(痴呆症资源利用,RUD)。主要分析将基于意向治疗。将进行组间和组内分析以及成本效益分析,以估计基于平板电脑的护理管理计划的效果。该试验由德国联邦联合委员会(G-BA)创新基金资助。

讨论

该试验的结果将有助于为当前的医疗保健系统结构和流程提供信息并加以改进,以支持常规护理实践中的家庭痴呆症照顾者。

试验注册

ClinicalTrials.gov NCT04037501。于 2019 年 7 月 30 日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c5c/8207586/b607b28a6b3b/13063_2021_5290_Fig1_HTML.jpg

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