Evidence map›Paper›PMID 29634614›Full record

ArticleAmerican journal of physical medicine & rehabilitation2018

A Risk Scoring System for the Prediction of Functional Deterioration, Institutionalization, and Mortality Among Medicare Beneficiaries.

Heather F McClintock, Jibby E Kurichi, Pui L Kwong, Dawei Xie, Margaret G Stineman, Hillary R Bogner

Abstract read
In one paragraph

Article in American journal of physical medicine & rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Heather F McClintockFrom the Department of Public Health, College of Health Sciences, Arcadia University, Glenside, Pennsylvania (HFM); and Center for Clinical Epidemiology and Biostatistics (JEK, PLK, DX, HRB), and Departments of Physical Medicine and Rehabilitation (MGS) and Family Medicine and Community Health (HRB), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jibby E Kurichi
Pui L Kwong
Dawei Xie
Margaret G Stineman
Hillary R Bogner

Funding

Ambulatory Care Access and QualityR01HD074756 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2013 to 2017
$2.0M
Course and risk factors for depression in late lifeR01MH082799 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BOGNER, HILLARY R · 2009 to 2010
$798k
NICHD NIH HHS R01 HD074756NIMH NIH HHS R01 MH082799
6 · The paper itself

Abstract

objectiveWe sought to develop a risk scoring system for predicting functional deterioration, institutionalization, and mortality. Identifying predictors of poor health outcomes informs clinical decision-making, service provision, and policy development to address the needs of persons at greatest risk for poor health outcomes.

designThis is a cohort study with 21,257 community-dwelling Medicare beneficiaries 65 yrs and older who participated in the 2001-2008 Medicare Current Beneficiary Survey. Derivation of the model was conducted in 60% of the sample and validated in the remaining 40%. Multinomial logistic regression model generated β coefficients, which were used to create a risk scoring system. Our outcome was instrumental activity of daily living stage transitions (stable/improved function and functional deterioration), institutionalization, or mortality for 2 yrs of follow-up.

resultsA total of 18 factors were identified for functional deterioration (P < 0.05). In the derivation cohort, the likelihood of functional deterioration ranged from 6.27% to 33.51%, risk of institutionalization from 0.07% to 12.13%, and risk of mortality from 2.13% to 31.83%, in comparison with stable/improved function.

conclusionsA risk scoring system predicting Medicare beneficiaries' risk of functional deterioration, institutionalization, and mortality based on demographic and clinical indicators may feasibly be developed with implications for healthcare delivery.

Indexed as

Disability EvaluationActivities of Daily LivingAgedAged, 80 and overCohort StudiesFemaleGeriatric AssessmentHumansIndependent LivingInstitutionalizationLogistic ModelsMaleMedicareRisk AssessmentSurveys and QuestionnairesUnited States

Identifiers

PMID29634614
PMCPMC6148394

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.