Evidence map›Paper›PMID 27801713›Full record

ArticleNursing research

Multiple Chronic Conditions and Hospitalizations Among Recipients of Long-Term Services and Supports.

Janet H Van Cleave, Brian L Egleston, Katherine M Abbott, Karen B Hirschman, Aditi Rao, Mary D Naylor

Open access · greenAbstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
1.3field-weighted citation impact, top 14% of its field
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, 3 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  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

6 authors at 1 institution in 2 countries.

Janet H Van CleaveJanet H. Van Cleave, PhD, RN, is Assistant Professor, New York University Rory Meyers College of Nursing. Brian L. Egleston, PhD, is Associate Research Professor, Biostatistics Facility, Fox Chase Cancer Center, Philadelphia, Pennsylvania. Katherine M. Abbott, PhD, MGS, is Assistant Professor of Gerontology, Miami University, Oxford, Ohio. Karen B. Hirschman, PhD, MSW, is NewCourtland Term Chair in Health Transitions Research and Research Associate Professor of Nursing, University of Pennsylvania School of Nursing, Philadelphia. Aditi Rao, PhD, RN, is Director of Nursing Practice, Hospital of the University of Pennsylvania, Philadelphia. Mary D. Naylor, PhD, RN, FAAN, is Marian S. Ware Professor in Gerontology, Director, NewCourtland Center for Transitions and Health, University of Pennsylvania, Philadelphia.
Brian L Egleston
Katherine M Abbott
Karen B Hirschman
Aditi Rao
Mary D Naylor
Apple (Israel) · IL

Funding

Individualized Care for At Risk Older AdultsT32NR009356 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Lauren M Massimo, MARY D NAYLOR · 2007 to 2026
$7.8M
Health Related Quality of Life: Elders in Long-Term CareR01AG025524 · NIA · UNIVERSITY OF PENNSYLVANIA · PI NAYLOR, MARY D · 2006 to 2010
$2.8M
NIA NIH HHS R01 AG025524NINR NIH HHS T32 NR009356
6 · The paper itself

Abstract

backgroundAmong older adults receiving long-term services and supports (LTSS), debilitating hospitalizations is a pervasive clinical and research problem. Multiple chronic conditions (MCCs) are prevalent in LTSS recipients. However, the combination of MCCs and diseases associated with hospitalizations of LTSS recipients is unclear.

objectiveThe purpose of this analysis was to determine the association between classes of MCCs in newly enrolled LTSS recipients and the number of hospitalizations over a 1-year period following enrollment.

methodsThis report is based on secondary analysis of extant data from a longitudinal cohort study of 470 new recipients of LTSS, 60 years and older, receiving services in assisted living facilities, nursing homes, or through home- and community-based services. Using baseline chronic conditions reported in medical records, latent class analysis was used to identify classes of MCCs and posterior probabilities of membership in each class. Poisson regressions were used to estimate the relative ratio between posterior probabilities of class membership and number of hospitalizations during the 3-month period prior to the start of LTSS (baseline) and then every 3 months forward through 12 months.

resultsThree latent MCC-based classes named Cardiopulmonary, Cerebrovascular/Paralysis, and All Other Conditions were identified. The Cardiopulmonary class was associated with elevated numbers of hospitalizations compared to the All Other Conditions class (relative ratio [RR] = 1.88, 95% CI [1.33, 2.65], p < .001).

conclusionOlder LTSS recipients with a combination of MCCs that includes cardiopulmonary conditions have increased risk for hospitalization.

Indexed as

AgedAged, 80 and overAssisted Living FacilitiesCohort StudiesFemaleHome Care ServicesHospitalizationHumansLongitudinal StudiesLong-Term CareMaleMiddle AgedMultiple Chronic ConditionsNursing HomesUnited States

Identifiers

PMID27801713
PMCPMC5147488
OpenAlexW2546991842

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.