Muscat Francesca, Camilleri Liberato, Attard Conrad, Lungaro Mifsud Stephen
Department of Physiotherapy, Faculty of Health Sciences, University of Malta, MSD 2090 Msida, Malta.
Statistics and Operations Research, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.
J Clin Med. 2023 Jan 24;12(3):919. doi: 10.3390/jcm12030919.
(1) Objective: To identify the assessment tools and outcome measures used to assess older adults for inpatient rehabilitation. (2) Design: Scoping review. (3) Data sources: ProQuest, PEDro, PubMed, CINAHL Plus with full text (EBSCO), Cochrane Library and reference lists from included studies. (4) Review method: The inclusion of studies covering patients aged >60, focusing on rehabilitation assessments delivered in hospitals in community settings. Studies reporting on rehabilitation specifically designed for older adults-testing for at least one domain that affects rehabilitation or assessments for admission to inpatient rehabilitation-were also included. Results were described both quantitatively and narratively. (5) Results: 1404 articles were identified through selected databases and registers, and these articles underwent a filtering process intended to identify and remove any duplicates. This process reduced the number to 1186 articles. These, in turn, were screened for inclusion criteria, as a result of which 37 articles were included in the final review. The majority of assessments for geriatric rehabilitation were carried out by a multidisciplinary team. Multiple studies considered more than one domain during assessment, with a high percentage evaluating a specific outcome measure used in geriatric rehabilitation. The most common domains assessed were function, cognition and medical status-with communication, vision and pain being the least common. A total of 172 outcome measures were identified in this review, with MMSE, BI, FIM and CCI being the most frequent. (6) Conclusions: This review highlights the lack of standardised approaches in existing assessment processes. Generally, older-adult-rehabilitation assessments struggle to capture rehabilitation potential in a holistic manner. Hence, a predictive model of rehabilitation for assessing patients at the initial stages would be useful in planning a patient-specific programme aimed at maximising functional independence and, thus, quality of life.
(1) 目的：确定用于评估老年住院患者康复情况的评估工具和结局指标。(2) 设计：范围综述。(3) 数据来源：ProQuest、PEDro、PubMed、含全文的CINAHL Plus（EBSCO）、Cochrane图书馆以及纳入研究的参考文献列表。(4) 综述方法：纳入涵盖60岁以上患者的研究，重点关注社区环境中医院提供的康复评估。还纳入了专门为老年人设计的康复研究——至少针对一个影响康复的领域进行测试或针对住院康复入院评估的研究。结果采用定量和描述性方式呈现。(5) 结果：通过选定的数据库和登记处共识别出1404篇文章，这些文章经过筛选以识别和去除任何重复项。这一过程将文章数量减少至1186篇。进而对这些文章进行纳入标准筛选，最终有37篇文章纳入综述。老年康复的大多数评估由多学科团队进行。多项研究在评估过程中考虑了多个领域，有很高比例的研究评估了老年康复中使用的特定结局指标。评估的最常见领域是功能、认知和医疗状况，而沟通、视力和疼痛是最不常见的领域。本综述共识别出172个结局指标，其中MMSE、BI、FIM和CCI最为常见。(6) 结论：本综述凸显了现有评估过程中缺乏标准化方法。总体而言，老年康复评估难以全面把握康复潜力。因此，在初始阶段评估患者的康复预测模型将有助于制定针对患者的计划，以最大限度地提高功能独立性，从而提高生活质量。
