Evidence map›Paper›PMID 27118956›Full record

ArticleInternational journal of integrated care

Transitional care for the highest risk patients: findings of a randomised control study.

Kheng Hock Lee, Lian Leng Low, John Allen, Sylvaine Barbier, Lee Beng Ng, Matthew Joo Ming Ng, Wei Yi Tay, Shu Yun Tan

Registry-linked trialAbstract read
In one paragraph

Article in International journal of integrated care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02325752 (A Prospective Randomised Control Trial to Study the Effectiveness of a Health Service Innovation Using a Modified Virtual Ward Model to Prevent Unscheduled Readmission of High Risk Patients), which is not on this map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
–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.

NCT02325752 nacompletednot on this map

A Prospective Randomised Control Trial to Study the Effectiveness of a Health Service Innovation Using a Modified Virtual Ward Model to Prevent Unscheduled Readmission of High Risk Patients

TypeinterventionalSponsorSingapore General HospitalRan2011 to 2013Enrolled840ConditionsChronic DiseasesArmsIntervention
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Observational
  20. FAM-FACE-SG: a score for risk stratification of frequent hospital admitters.BMC medical informatics and decision making · 2017
    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

8 authors.

Kheng Hock LeeDepartment of Family Medicine & Continuing Care, Singapore General Hospital, Singapore and Family Medicine, Duke-NUS Graduate Medical School, Singapore.
Lian Leng LowDepartment of Family Medicine & Continuing Care, Singapore General Hospital, Singapore and Family Medicine, Duke-NUS Graduate Medical School, Singapore.
John AllenCentre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore.
Sylvaine BarbierCentre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore.
Lee Beng NgDepartment of Family Medicine & Continuing Care, Singapore General Hospital, Singapore and Family Medicine, Duke-NUS Graduate Medical School, Singapore.
Matthew Joo Ming NgDepartment of Family Medicine & Continuing Care, Singapore General Hospital, Singapore and Family Medicine, Duke-NUS Graduate Medical School, Singapore.
Wei Yi TayDepartment of Family Medicine & Continuing Care, Singapore General Hospital, Singapore and Family Medicine, Duke-NUS Graduate Medical School, Singapore.
Shu Yun TanDepartment of Family Medicine & Continuing Care, Singapore General Hospital, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterventions to prevent readmissions of patients at highest risk have not been rigorously evaluated. We conducted a randomised controlled trial to determine if a post-discharge transitional care programme can reduce readmissions of such patients in Singapore.

methodsWe randomised 840 patients with two or more unscheduled readmissions in the prior 90 days and Length of stay, Acuity of admission, Comorbidity of patient, Emergency department utilisation score ≥10 to the intervention programme (n = 419) or control (n = 421). Patients allocated to the intervention group received post-discharge surveillance by a multidisciplinary integrated care team and early review in the clinic. The primary outcome was the proportion of patients with at least one unscheduled readmission within 30 days after discharge.

resultsWe found no statistically significant reduction in readmissions or emergency department visits in patients on the intervention group compared to usual care. However, patients in the intervention group reported greater patient satisfaction (p < 0.001).

conclusionAny beneficial effect of interventions initiated after discharge is small for high-risk patients with multiple comorbidity and complex care needs. Future transitional care interventions should focus on providing the entire cycle of care for such patients starting from time of admission to final transition to the primary care setting.

trial registrationClinicaltrials.gov, no NCT02325752.

Indexed as

acuity of admissioncomorbidity of patientemergency department utilisation scoreintegrated carelength of stayreadmissionstransitional care

Identifiers

PMID27118956
PMCPMC4843175

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.