Evidence map›Paper›PMID 33902569›Full record

ArticleBMC health services research2021

Readmissions and costs among younger and older adults for targeted conditions during the enactment of the hospital readmission reduction program.

Chi-Hua Lu, Collin M Clark, Ryan Tober, Meghan Allen, Walter Gibson, Edward M Bednarczyk, Christopher J Daly, David M Jacobs

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

8 authors.

Chi-Hua LuDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
Collin M ClarkDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
Ryan ToberDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
Meghan AllenDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
Walter GibsonDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
Edward M BednarczykDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
Christopher J DalyDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA.
David M JacobsDepartment of Pharmacy Practice, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, 316 Pharmacy Building, Buffalo, NY, USA. dmjacobs@buffalo.edu.ORCID http://orcid.org/0000-0001-9240-7067

Funding

Institutional Career DevelopmentKL2TR001413 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI DUBOCOVICH, MARGARITA L · 2015 to 2024
$4.2M
Integrative Informatics Approach to Predict Readmissions and Improve Outcomes in COPDK23HL153582 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JACOBS, DAVID · 2021 to 2025
$962k
NCATS NIH HHS KL2 TR001413NHLBI NIH HHS K23 HL153582
6 · The paper itself

Abstract

backgroundThe Hospital Readmissions Reduction Program (HRRP) was introduced to reduce readmission rates among Medicare beneficiaries, however little is known about readmissions and costs for HRRP-targeted conditions in younger populations. The primary objective of this study was to examine readmission trends and costs for targeted conditions during policy implementation among younger and older adults in the U.S.

methodsWe analyzed the Nationwide Readmission Database from January 2010 to September 2015 in younger (18-64 years) and older (≥65 years) patients with acute myocardial infarction (AMI), heart failure (HF), pneumonia, and acute exacerbations of chronic obstructive pulmonary disease (AECOPD). Pre- and post-HRRP periods were defined based on implementation of the policy for each condition. Readmission rates were evaluated using an interrupted time series with difference-in-difference analyses and hospital cost differences between early and late readmissions (≤30 vs. > 30 days) were evaluated using generalized linear models.

resultsOverall, this study included 16,884,612 hospitalizations with 3,337,266 readmissions among all age groups and 5,977,177 hospitalizations with 1,104,940 readmissions in those aged 18-64 years. Readmission rates decreased in all conditions. In the HRRP announcement period, readmissions declined significantly for those aged 40-64 years for AMI (p < 0.0001) and HF (p = 0.003). Readmissions decreased significantly in the post-HRRP period for those aged 40-64 years at a slower rate for AMI (p = 0.003) and HF (p = 0.05). Readmission rates among younger patients (18-64 years) varied within all four targeted conditions in HRRP announcement and post-HRRP periods. Adjusted models showed a significantly higher readmission cost in those readmitted within 30 days among younger and older populations for AMI (p < 0.0001), HF (p < 0.0001), pneumonia (p < 0.0001), and AECOPD (p < 0.0001).

conclusionReadmissions for targeted conditions decreased in the U.S. during the enactment of the HRRP policy and younger age groups (< 65 years) not targeted by the policy saw a mixed effect. Healthcare expenditures in younger and older populations were significantly higher for early readmissions with all targeted conditions. Further research is necessary evaluating total healthcare utilization including emergency department visits, observation units, and hospital readmissions in order to better understand the extent of the HRRP on U.S. healthcare.

Indexed as

Heart FailureMyocardial InfarctionAdolescentAdultAgedHospitalizationHumansMedicareMiddle AgedPatient ReadmissionUnited StatesYoung AdultCostsHRRPNRDReadmissionsTargeted conditionsYounger adults

Identifiers

PMID33902569
PMCPMC8077835

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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.