Evidence map›Paper›PMID 39399568›Full record

ArticleNeurology. Clinical practice2025

Novel Post-Neurointensive Care Recovery Clinic: Design, Utilization, and Clinician Perspectives.

Julia M Carlson, Galina Gheihman, Kristi Emerson, Haitham S Alabsi, W Taylor Kimberly, Michael J Young, David J Lin

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Julia M CarlsonDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0003-4650-5330
Galina GheihmanDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0003-1599-3271
Kristi EmersonDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-9624-555X
Haitham S AlabsiDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0001-6354-4679
W Taylor KimberlyDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-2519-8530
Michael J YoungDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0001-6661-0811
David J LinDepartment of Neurology (JMC, GG, KE, HSA, WTK, MJY, DJL), and Center for Neurotechnology and Neurorecovery (KE), Massachusetts General Hospital, Harvard Medical School, Boston.ORCID https://orcid.org/0000-0002-6575-9849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Despite increasing interest in post-intensive care unit (ICU) clinical care and management, there have been limited descriptions focused on the post-neurologic (neuro)-ICU population. Here, we describe the design of a post-neuro-ICU Neurorecovery Clinic (NRC) and present data collected regarding the clinic's population, referrals, visits, and clinician satisfaction. Methods: This is a single-institution experience with a NRC designed to provide an infrastructure for post-ICU care to patients recovering from acute neurologic disorders or systemic conditions with neurologic sequelae. The clinic offers 2 visit types with different frequencies: a weekly visit and a monthly multidisciplinary visit. This study assessed clinical utilization and clinician perspectives regarding the clinic. Data on clinic referrals, no-show frequency, visit types, and diagnoses for both weekly and monthly visits were collected. A survey was conducted to assess clinician satisfaction and perspectives. Qualitative thematic analysis was performed to identify major themes among survey free responses. Results: In a 2-year period, 225 patients were referred from the Massachusetts General Hospital neuro-ICU to the NRC. Of those, 105 (47%) were seen in clinic for at least one visit. The most common reasons for loss to follow-up were no shows (38%) and noncontracted insurance (21%). Twenty percent of visits were in-person (the rest were by telehealth). Forty-eight percent were new patients compared with return visits. The most common diagnoses were other (36%), ischemic stroke (26%), and traumatic brain injury (17%). An additional monthly multidisciplinary clinic has seen 14 patients with one no show. Clinicians found their experience in the NRC valuable. Identified benefits included interdisciplinary collaboration, being a more well-rounded and better clinician, improving effectiveness in managing post-ICU problems, and influencing ICU prognosis. Clinicians' greatest challenge was navigating resource limitations for patients. Discussion: A postneuro-ICU NRC is a feasible model of care delivery for patients after severe acute neurologic disorders. Patients with a broad variety of diagnoses were seen in a 2-year period. Providers valued their clinic time and experiences. Future studies should evaluate whether this model of care improves patients' postneuro-ICU outcomes.

Identifiers

PMID39399568
PMCPMC11464235

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.