Evidence map›Paper›PMID 25401992›Full record

ArticlePloS one2014

Service use and costs for people with long-term neurological conditions in the first year following discharge from in-patient neuro-rehabilitation: a longitudinal cohort study.

Diana Jackson, Paul McCrone, Iris Mosweu, Richard Siegert, Lynne Turner-Stokes

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07391449 (Heart Rate Variability Guided Optimization of Physical Activity and Exercise Prescription to Enhance Rehabilitation Outcomes in Individuals With Knee Osteoarthritis), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT07391449 nanot yet recruitingnot on this mapstarted 2027, after this paper: background citation

Heart Rate Variability Guided Optimization of Physical Activity and Exercise Prescription to Enhance Rehabilitation Outcomes in Individuals With Knee Osteoarthritis (HOPE-OA Trial)

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2027 to 2029Enrolled240ConditionsKnee OsteoarthritisArmsHRV-guided home exercise prescription, Traditional Home Exercise
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Virtual reality and brain computer interface in neurorehabilitation.Proceedings (Baylor University. Medical Center) · 2016
    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

5 authors.

Diana JacksonKing's College London, Faculty of Life Sciences & Medicine, Department of Palliative Care, Policy and Rehabilitation, London, United Kingdom.
Paul McCroneKing's College London, Institute of Psychiatry, Psychology & Neuroscience, Health Services and Population Research Department, London, United Kingdom.
Iris MosweuKing's College London, Institute of Psychiatry, Psychology & Neuroscience, Health Services and Population Research Department, London, United Kingdom.
Richard SiegertAUT University, School of Public Health and Psychosocial Studies and School of Rehabilitation and Occupational Studies, Centre for Person Centred Research, Auckland, New Zealand.
Lynne Turner-StokesKing's College London, Faculty of Life Sciences & Medicine, Department of Palliative Care, Policy and Rehabilitation, London, United Kingdom; Regional Rehabilitation Unit, Northwick Park Hospital, London, United Kingdom.

Funding

Department of Health 08/1809/235
6 · The paper itself

Abstract

backgroundKnowledge of the configuration and costs of community rehabilitation and support for people with long-term neurological conditions (LTNCs) is needed to inform future service development and resource allocation. In a multicentre prospective cohort study evaluating community service delivery during the year post-discharge from in-patient neuro-rehabilitation, a key objective was to determine service use, costs, and predictors of these costs.

methodsPatients consecutively admitted over one year to all nine London specialised (Level 1) in-patient neuro-rehabilitation units were recruited on discharge. They or their carers completed postal/web-based questionnaires at discharge and six and twelve months later, providing demographic data and measures of impairment, disability, service needs and provision. This paper describes health and social care service use, informal care and associated costs. Regression models using non-parametric boot-strapping identified predictors of costs over time.

resultsOverall, 152 patients provided consistent data. Mean formal service costs fell significantly from £13,290 (sd £19,369) during the first six months to £9,335 (sd £19,036) from six-twelve months, (t = 2.35, P<0.05), mainly due to declining health service use. At six months, informal care was received on average for 8.2 hours/day, mean cost £14,615 (sd 23,305), comprising 52% of overall care costs. By twelve months, it had increased to 8.8 hours per day, mean cost £15,468 (sd £25,534), accounting for 62% of overall care costs. Being younger and more disabled predicted higher formal care costs, explaining 32% and 30% of the variation in costs respectively at six and twelve months.

conclusionCommunity services for people with LTNCs carry substantial costs that shift from health to social care over time, increasing the burden on families. Prioritising rehabilitation services towards those in greatest need could limit access to others needing on-going support to promote their independence and reduce their reliance on families. This argues for greater investment in future rehabilitation services.

Indexed as

Health Care CostsHealth ServicesAdultCohort StudiesFemaleHumansLondonLongitudinal StudiesMaleMiddle AgedNervous System DiseasesPatient DischargePersons with DisabilitiesTime Factors

Identifiers

PMID25401992
PMCPMC4234538

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Registered trials

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.