Evidence map›Paper›PMID 35727611›Full record

ArticleJMIR aging2022

Associations Between Implementation of the Caregiver Advise Record Enable (CARE) Act and Health Service Utilization for Older Adults with Diabetes: Retrospective Observational Study.

Yaguang Zheng, Bonnie Anton, Juleen Rodakowski, Stefanie C Altieri Dunn, Beth Fields, Jacob C Hodges, Heidi Donovan, Connie Feiler, Grant Martsolf, Andrew Bilderback and 3 more

Abstract read
In one paragraph

Article in JMIR aging, 2022. 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. Meta-Analysis of the Effect of Nursing Intervention on Children with Type 2 Diabetes.Computational and mathematical methods in medicine · 2022
    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

13 authors.

Yaguang ZhengMeyers College of Nursing, New York University, New York, NY, United States.ORCID https://orcid.org/0000-0002-8400-1398
Bonnie AntonWolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-8766-6002
Juleen RodakowskiDepartment of Occupational Therapy, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-6397-8124
Stefanie C Altieri DunnWolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-0017-4687
Beth FieldsDepartment of Kinesiology, School of Education, University of Wisconsin-Madison, Madison, WI, United States.ORCID https://orcid.org/0000-0002-8192-7144
Jacob C HodgesWolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-9898-4148
Heidi DonovanSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-4889-8644
Connie FeilerHealthwise, Boise, ID, United States.ORCID https://orcid.org/0000-0002-0987-122X
Grant MartsolfSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-1942-8683
Andrew BilderbackWolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-3326-813X
Susan C MartinWolff Center at University of Pittsburgh Medical Center, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-9079-1349
Dan LiSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-6141-3827
Alton Everette JamesGraduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-2828-8969

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Technology Research in Chronic & Critical IllnessT32NR008857 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Young Ji Lee · 2005 to 2026
$4.0M
INFLUENCE OF STRATEGY TRAINING ON DISABILITY FOR OLDER ADULTS WITH MILD COGNITIVE IMPAIRMENTR01AG056351 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RODAKOWSKI, JULEEN · 2019 to 2023
$3.2M
Development and Validation of the Caregiver Hospital Assessment Tool (CHAT)R03AG062848 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI FIELDS, BETH · 2020 to 2021
$170k
NIA NIH HHS R01 AG056351NIA NIH HHS R03 AG062848NIDDK NIH HHS P30 DK111022NINR NIH HHS T32 NR008857
6 · The paper itself

Abstract

backgroundThe Caregiver Advise Record Enable (CARE) Act is a state level law that requires hospitals to identify and educate caregivers ("family members or friends") upon discharge.

objectiveThis study examined the association between the implementation of the CARE Act in a Pennsylvania health system and health service utilization (ie, reducing hospital readmission, emergency department [ED] visits, and mortality) for older adults with diabetes.

methodsThe key elements of the CARE Act were implemented and applied to the patients discharged to home. The data between May and October 2017 were pulled from inpatient electronic health records. Likelihood-ratio chi-square tests and multivariate logistic regression models were used for statistical analysis.

resultsThe sample consisted of 2591 older inpatients with diabetes with a mean age of 74.6 (SD 7.1) years. Of the 2591 patients, 46.1% (n=1194) were female, 86.9% (n=2251) were White, 97.4% (n=2523) had type 2 diabetes, and 69.5% (n=1801) identified a caregiver. Of the 1801 caregivers identified, 399 (22.2%) received discharge education and training. We compared the differences in health service utilization between pre- and postimplementation of the CARE Act; however, no significance was found. No significant differences were detected from the bivariate analyses in any outcomes between individuals who identified a caregiver and those who declined to identify a caregiver. After adjusting for risk factors (multivariate analysis), those who identified a caregiver (12.2%, 219/1801) was associated with higher rates of 30-day hospital readmission than those who declined to identify a caregiver (9.9%, 78/790; odds ratio [OR] 1.38, 95% CI 1.04-1.87; P=.02). Significantly lower rates were detected in 7-day readmission (P=.02), as well as 7-day (P=.03) and 30-day (P=.01) ED visits, among patients with diabetes whose identified caregiver received education and training than those whose identified caregiver did not receive education and training in the bivariate analyses. However, after adjusting for risk factors, no significance was found in 7-day readmission (OR 0.53, 95% CI 0.27-1.05; P=.07), 7-day ED visit (OR 0.63, 95% CI 0.38-1.03; P=.07), and 30-day ED visit (OR 0.73, 95% CI 0.52-1.02; P=.07). No significant associations were found for other outcomes (ie, 30-day readmission and 7-day and 30-day mortality) in both the bivariate and multivariate analyses.

conclusionsOur study found that the implementation of the CARE Act was associated with certain health service utilization. The identification of caregivers was associated with higher rates of 30-day hospital readmission in the multivariate analysis, whereas having identified caregivers who received discharge education was associated with lower rates of readmission and ED visit in the bivariate analysis.

Indexed as

CARE ActcaregiverdiabetesEHRselectronic health recordemergency department utilizationhospital readmissionolder adultsutilization

Identifiers

PMID35727611
PMCPMC9257609

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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.