Evidence map›Paper›PMID 31211418›Full record

ArticleJournal of the American Geriatrics Society2019

Predicting Risk of Potentially Preventable Hospitalization in Older Adults with Dementia.

Donovan T Maust, H Myra Kim, Claire Chiang, Kenneth M Langa, Helen C Kales

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Predicting unplanned admissions to hospital in older adults using routinely recorded general practice data: development and validation of a prediction model.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
  4. Article
  5. Article
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  7. Article
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  10. 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.

Donovan T MaustDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan.ORCID 0000-0003-4740-2640
H Myra KimDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Claire ChiangDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan.
Kenneth M LangaInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Helen C KalesDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Andrzej T Galecki · 2004 to 2026
$29.2M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
Dementia Prevalence over Time: Proximate Causes and ConsequencesR01AG053972 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 2016 to 2021
$4.9M
Patient, Caregiver, and Regional Drivers of Potentially Inappropriate Medical Care for Dementia: Building the Foundation for State Dementia PolicyR01AG056407 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MAUST, DONOVAN T · 2018 to 2021
$2.1M
Preventable Hospitalization in Dementia: The Impact of Neuropsychiatric SymptomsK08AG048321 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MAUST, DONOVAN T · 2014 to 2017
$700k
NIA NIH HHS K08 AG048321NIA NIH HHS K08AG048321NIA NIH HHS P30 AG024824NIA NIH HHS P30AG024824NIA NIH HHS P30 AG053760NIA NIH HHS P30AG053760NIA NIH HHS R01 AG053972NIA NIH HHS R01AG053972NIA NIH HHS R01 AG056407NIA NIH HHS R01AG056407
6 · The paper itself

Abstract

objectivesReducing potentially preventable hospitalization (PPH) among older adults with dementia is a goal of Healthy People 2020, yet no tools specifically identify patients with dementia at highest risk. The objective was to develop a risk prediction model to identify older adults with dementia at high imminent risk of PPH.

designA 30-day risk prediction model was developed using multivariable logistic regression. Patients from fiscal years (FY) 2009 to 2011 were split into development and validation cohorts; FY2012 was used for prediction.

settingCommunity-dwelling older adults (≥65 years of age) with dementia who received care through the Veterans Health Administration.

participantsThere were 1 793 783 participants. MEASUREMENTS: Characteristics associated with hospitalization risk were (1) age and other demographic factors; (2) outpatient, emergency department, and inpatient utilization; (3) medical and psychiatric diagnoses; and (4) prescribed medication use including changes to psychotropic medications (eg, initiation or dosage increase). Model discrimination was determined by the C statistic for each of the three cohorts. Finally, to determine whether predicted 30-day risk strata were stable over time, the observed PPH rate was calculated out to 1 year.

resultsIn the development cohort, .6% of patients experienced PPH within 30 days. The C statistic for the development cohort was .83 (95% confidence interval [CI] = .83-.84) and .83 in the prediction cohort (95% CI = .82-.84). Patients in the top 10% of predicted 30-day PPH risk accounted for more than 50% of 30-day PPH admissions in all three cohorts. In addition, those predicted to be at elevated 30-day risk remained at higher risk throughout a year of follow-up.

conclusionIt is possible to identify older adults with dementia at high risk of imminent PPH, and their risk remains elevated for an entire year. Given the negative outcomes associated with acute hospitalization for those with dementia, healthcare systems and providers may be able to engage these high-risk patients proactively to avoid unnecessary hospitalization. J Am Geriatr Soc 67:2077-2084, 2019.

Indexed as

Risk AssessmentAgedAged, 80 and overAge FactorsBlack or African AmericanBlack PeopleDementiaEmergency Service, HospitalFemaleHospitalizationHumansMaleModels, StatisticalPsychotropic DrugsUnited StatesVeteransPsychotropic Drugsdementiapotentially preventable hospitalizationrisk prediction

Identifiers

PMID31211418
PMCPMC6896207

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.