Evidence map›Paper›PMID 35606137›Full record

Trial reportAnnals of family medicine

Reducing Readmission of Hospitalized Patients With Depressive Symptoms: A Randomized Trial.

Suzanne E Mitchell, Matthew Reichert, Jessica Martin Howard, Katherine Krizman, Alexa Bragg, Molly Huffaker, Kimberly Parker, Mary Cawley, Hannah Webb Roberts, Yena Sung and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

14 authors.

Suzanne E MitchellDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts Suzanne.Mitchell@bmc.org.
Matthew ReichertDepartment of Family Medicine, Boston Medical Center, Boston, Massachusetts.
Jessica Martin HowardDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.
Katherine KrizmanDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.
Alexa BraggDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.
Molly HuffakerDepartment of Family Medicine, Boston Medical Center, Boston, Massachusetts.
Kimberly ParkerDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.
Mary CawleyDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.
Hannah Webb RobertsDepartment of Family Medicine, Boston Medical Center, Boston, Massachusetts.
Yena SungDepartment of Family Medicine, Boston Medical Center, Boston, Massachusetts.
Jennifer BrownDepartment of Psychiatry, Mount Auburn Hospital, Cambridge, Massachusetts.
Larry CulpepperDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.
Howard J CabralDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Brian W JackDepartment of Family Medicine, Boston University School of Medicine, Boston, Massachusetts.

Funding

Reducing Hospital Readmission Among Medical Patients with Depressive SymptomsR01HS019700 · AHRQ · BOSTON MEDICAL CENTER · PI JACK, BRIAN WILLIAM · 2012 to 2016
$2.5M
AHRQ HHS R01 HS019700
6 · The paper itself

Abstract

purposeTo determine if hospitalized patients with depressive symptoms will benefit from post-discharge depression treatment with care transition support.

methodsThis is a randomized controlled trial of hospitalized patients with patient health questionnaire-9 score of 10 or more. We delivered the Re-Engineered Discharge (RED) and randomized participants to groups receiving RED-only or RED for Depression (RED-D), a 12-week post-discharge telehealth intervention including cognitive behavioral therapy, self-management support, and patient navigation. Primary outcomes were hospital readmission and reutilization rates at 30 and 90 days post discharge.

resultsWe randomized 709 participants (353 RED-D, 356 RED-only). At 90 days, 265 (75%) intervention participants had received at least 1 RED-D session (median 4). At 30 days, the intention-to-treat analysis showed no differences between RED-D vs RED-only in hospital readmission (9% vs 10%, incidence rate ratio [IRR] 0.92 [95% CI, 0.56-1.52]) or reutilization (27% vs 24%, IRR 1.14 [95% CI, 0.85-1.54]). The intention-to-treat analysis also showed no differences at 90 days in readmission (28% vs 21%, IRR 1.30 [95% CI, 0.95-1.78]) or reutilization (70% vs 57%, IRR 1.22 [95% CI, 1.01-1.49]). In the as-treated analysis, each additional RED-D session was associated with a decrease in 30- and 90-day readmissions. At 30 days, among 104 participants receiving 3 or more sessions, there were fewer readmissions (3% vs 10%, IRR 0.30 [95% CI, 0.07-0.84]) compared with the control group. At 90 days, among 109 participants receiving 6 or more sessions, there were fewer readmissions (11% vs 21%, IRR 0.52 [95% CI, 0.27-0.92]). Intention-to-treat analysis showed no differences between study groups on secondary outcomes.

conclusionsCare transition support and post-discharge depression treatment can reduce unplanned hospital use with sufficient uptake of the RED-D intervention.

Indexed as

Cognitive Behavioral TherapyPatient ReadmissionAftercareDepressionHumansPatient Dischargedepressionhospitalizationpatient dischargetelemedicine

Identifiers

PMID35606137
PMCPMC9199049

What OpenQuestion holds

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Registered trials

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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.