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Lai DJ, Liu Z, Johnston E, Dikomitis L, D'Oliveira T, Shergill S. Exploring the effectiveness of eHealth interventions in treating Post Intensive Care Syndrome (PICS) outcomes: a systematic review. Crit Care 2024; 28:317. [PMID: 39334262 PMCID: PMC11428403 DOI: 10.1186/s13054-024-05089-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 09/08/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND It remains unclear how to optimise critical care rehabilitation to reduce the constellation of long-term physical, psychological and cognitive impairments known as Post Intensive Care Syndrome (PICS). Possible reasons for poor recovery include access to care and delayed treatment. eHealth could potentially aid in increasing access and providing consistent care remotely. Our review aimed to evaluate the effectiveness of eHealth interventions on PICS outcomes. METHODS Studies reporting eHealth interventions targeting Post Intensive Care Syndrome outcomes, published in Medline, CINAHL, PsycINFO, Embase, and Scopus from 30th January 2010 to 12th February 2024, were included in the review. Study eligibility was assessed by two reviewers with any disagreements discussed between them or resolved by a third reviewer. Study quality and risk of bias were assessed using the Mixed Method Appraisal Tool. Further to the identification of effective strategies, our review also aimed to clarify the timeline of recovery considered and the outcomes or domains targeted by the interventions. RESULTS Thirteen studies were included in our review. Study duration, eHealth intervention delivery format, and outcome measures varied considerably. No studies reported a theory of behavioural change and only one study was co-produced with patients or carers. Most studies were conducted in the early post-discharge phase (i.e., < 3 months) and had feasibility as a primary outcome. The cognitive domain was the least targeted and no intervention targeted all three domains. Interventions targeting the psychological domain suggest generally positive effects. However, results were underpowered and preliminary. Though all studies were concluded to be feasible, most studies did not assess acceptability. In studies that did assess acceptability, the main facilitators of acceptability were usability and perceived usefulness, and the main barrier was sensitivity to mental health and cognitive issues. CONCLUSION Our systematic review highlighted the promising contributions of eHealth with preliminary support for the feasibility of interventions in the early stages of post-critical care rehabilitation. Future research should focus on demonstrating effectiveness, acceptability, the cognitive domain, and multi-component interventions.
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Affiliation(s)
- Daniel Jie Lai
- Canterbury Christ Church University, Canterbury, UK
- National Institute of Health and Care Research, Applied Research Collaboration Kent, Surrey and Sussex, UK
| | - Zhao Liu
- School of Computing, University of Kent, Canterbury, UK
- College of Software and Big Data, Inner Mongolia Electronic Information Technical College, Hohhot, Inner Mongolia, China
| | - Elaine Johnston
- Maidstone and Tunbridge Wells NHS Trust, Kent, UK
- Kent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, UK
| | - Lisa Dikomitis
- Kent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, UK
- Centre for Health Services Studies, University of Kent, Canterbury, UK
| | - Teresa D'Oliveira
- Canterbury Christ Church University, Canterbury, UK
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Sukhi Shergill
- Kent and Medway Medical School, University of Kent and Canterbury Christ Church University, Canterbury, UK.
- Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK.
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Nakanishi N, Liu K, Hatakeyama J, Kawauchi A, Yoshida M, Sumita H, Miyamoto K, Nakamura K. Post-intensive care syndrome follow-up system after hospital discharge: a narrative review. J Intensive Care 2024; 12:2. [PMID: 38217059 PMCID: PMC10785368 DOI: 10.1186/s40560-023-00716-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 12/28/2023] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND Post-intensive care syndrome (PICS) is the long-lasting impairment of physical functions, cognitive functions, and mental health after intensive care. Although a long-term follow-up is essential for the successful management of PICS, few reviews have summarized evidence for the efficacy and management of the PICS follow-up system. MAIN TEXT The PICS follow-up system includes a PICS follow-up clinic, home visitations, telephone or mail follow-ups, and telemedicine. The first PICS follow-up clinic was established in the U.K. in 1993 and its use spread thereafter. There are currently no consistent findings on the efficacy of PICS follow-up clinics. Under recent evidence and recommendations, attendance at a PICS follow-up clinic needs to start within three months after hospital discharge. A multidisciplinary team approach is important for the treatment of PICS from various aspects of impairments, including the nutritional status. We classified face-to-face and telephone-based assessments for a PICS follow-up from recent recommendations. Recent findings on medications, rehabilitation, and nutrition for the treatment of PICS were summarized. CONCLUSIONS This narrative review aimed to summarize the PICS follow-up system after hospital discharge and provide a comprehensive approach for the prevention and treatment of PICS.
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Affiliation(s)
- Nobuto Nakanishi
- Division of Disaster and Emergency Medicine, Department of Surgery Related, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki, Chuo-Ward, Kobe, 650-0017, Japan
| | - Keibun Liu
- Critical Care Research Group, The Prince Charles Hospital, 627 Rode Rd, Chermside, QLD, 4032, Australia
- Institute for Molecular Bioscience, The University of Queensland, 306 Carmody Rd, St Lucia, QLD, 4067, Australia
- Non-Profit Organization ICU Collaboration Network (ICON), 2-15-13 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Junji Hatakeyama
- Department of Emergency and Critical Care Medicine, Osaka Medical and Pharmaceutical University, 2-7 Daigaku-Machi, Takatsuki, Osaka, 569-8686, Japan
| | - Akira Kawauchi
- Department of Critical Care and Emergency Medicine, Japanese Red Cross Maebashi Hospital, 389-1, Asakura-Machi, Maebashi-Shi, Gunma, 371-0811, Japan
| | - Minoru Yoshida
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, 2-16-1, Sugao, Miyamae-Ku, Kawasaki, Kanagawa, 216- 8511, Japan
| | - Hidenori Sumita
- Clinic Sumita, 305-12, Minamiyamashinden, Ina-Cho, Toyokawa, Aichi, 441-0105, Japan
| | - Kyohei Miyamoto
- Department of Emergency and Critical Care Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama, Wakayama, 641-8509, Japan
| | - Kensuke Nakamura
- Department of Critical Care Medicine, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004, Japan.
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