Evidence map›Paper›PMID 30794142›Full record

ArticleJournal of hospital medicine2019

Care Transitions Program for High-Risk Frail Older Adults is Most Beneficial for Patients with Cognitive Impairment.

Bjorg Thorsteinsdottir, Stephanie M Peterson, James M Naessens, Rozalina G Mccoy, Gregory J Hanson, Latonya J Hickson, Christina Yy Chen, Parvez A Rahman, Nilay D Shah, Lynn Borkenhagen and 4 more

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Outcomes of a Nursing Home-to-Community Care Transition Program.Journal of the American Medical Directors Association · 2021
    Article
  3. Article
  4. 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.

Bjorg ThorsteinsdottirDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Stephanie M PetersonDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.
James M NaessensDivision of Health Care Policy and Research, Mayo Clinic, Rochester, Minnesota.
Rozalina G MccoyDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Gregory J HansonDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Latonya J HicksonCenter for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.
Christina Yy ChenDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Parvez A RahmanCenter for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota.
Nilay D ShahKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Lynn BorkenhagenDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Anupam ChandraDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Rachel HavyerDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.
Aaron LeppinKnowledge and Evaluation Research Unit, Mayo Clinic, Rochester, Minnesota.
Paul Y TakahashiDivision of Primary Care Internal Medicine, Mayo Clinic, Rochester, Minnesota.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Mesenchymal stem cell senescence in diabetic nephropathy (K23 COVID Admin Supplement)K23DK109134 · NIDDK · MAYO CLINIC ROCHESTER · PI HICKSON, LATONYA J · 2016 to 2021
$1.0M
Evidence Based Encounter Decision Aid for Elderly Patients to Promote Shared Decision Making on Treatment Choice in End Stage Renal DiseaseK23AG051679 · NIA · MAYO CLINIC ROCHESTER · PI THORSTEINSDOTTIR, BJOERG · 2016 to 2020
$908k
Predicting the Risk of Severe Hypoglycemic and Hyperglycemic Events in Adults with DiabetesK23DK114497 · NIDDK · MAYO CLINIC ROCHESTER · PI MCCOY, ROZALINA GRUBINA · 2017 to 2021
$846k
NCATS NIH HHS UL1 TR000135NIA NIH HHS K23 AG051679NIDDK NIH HHS K23 DK109134NIDDK NIH HHS K23 DK114497
6 · The paper itself

Abstract

backgroundAlthough posthospitalization care transitions programs (CTP) are highly diverse, their overall program thoroughness is most predictive of their success.

objectiveTo identify components of a successful homebased CTP and patient characteristics that are most predictive of reduced 30-day readmissions.

designRetrospective cohort. PATIENTS: A total of 315 community-dwelling, hospitalized, older adults (≥60 years) at high risk for readmission (Elder Risk Assessment score ≥16), discharged home over the period of January 1, 2011 to June 30, 2013.

settingMidwest primary care practice in an integrated health system.

interventionEnrollment in a CTP during acute hospitalization. MEASUREMENTS: The primary outcome was all-cause readmission within 30 days of the first CTP evaluation. Logistic regression was used to examine independent variables, including patient demographics, comorbidities, number of medications, completion, and timing of program fidelity measures, and prior utilization of healthcare.

resultsThe overall 30-day readmission rate was 17.1%. The intensity of follow-up varied among patients, with 17.1% and 50.8% of the patients requiring one and ≥3 home visits, respectively, within 30 days. More than half (54.6%) required visits beyond 30 days. Compared with patients who were not readmitted, readmitted patients were less likely to exhibit cognitive impairment (29.6% vs 46.0%; P = .03) and were more likely to have high medication use (59.3% vs 44.4%; P = .047), more emergency department (ED; 0.8 vs 0.4; P = .03) and primary care visits (4.0 vs 3.0; P = .018), and longer cumulative time in the hospital (4.6 vs 2.5 days; P = .03) within 180 days of the index hospitalization. Multivariable analysis indicated that only cognitive impairment and previous ED visits were important predictors of readmission.

conclusionsNo single CTP component reliably predicted reduced readmission risk. Patients with cognitive impairment and polypharmacy derived the most benefit from the program.

Indexed as

Patient TransferRisk AssessmentAged, 80 and overCognitive DysfunctionEmergency Service, HospitalFemaleFrail ElderlyHospitalizationHouse CallsHumansMaleMidwestern United StatesPatient ReadmissionPolypharmacyRetrospective Studies

Identifiers

PMID30794142
PMCPMC6546541

What OpenQuestion holds

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Registered trials

None linked

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.