Evidence map›Paper›PMID 35211958›Full record

ArticleJournal of the American Geriatrics Society2022

Risk from delayed or missed care and non-COVID-19 outcomes for older patients with chronic conditions during the pandemic.

Maureen Smith, Mary Vaughan Sarrazin, Xinyi Wang, Peter Nordby, Menggang Yu, Allie J DeLonay, Jonathan Jaffery

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  9. The Role of Telepharmacy in the Delivery of Clinical Pharmacy Services Following the COVID-19 Pandemic: A Descriptive Report.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2024
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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

7 authors.

Maureen SmithDepartment of Population Health Sciences, University of Wisconsin - Madison School of Medicine and Public Health, Madison, Wisconsin, USA.ORCID 0000-0003-4370-000X
Mary Vaughan SarrazinDepartment of Internal Medicine, College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Xinyi WangHealth Innovation Program, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Peter NordbyHealth Innovation Program, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Menggang YuDepartment of Biostatistics and Medical Informatics, University of Wisconsin - Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Allie J DeLonayHealth Innovation Program, University of Wisconsin-Madison School of Medicine and Public Health, Madison, Wisconsin, USA.
Jonathan JafferyOffice of Population Health, UW Health, Madison, Wisconsin, USA.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
NCATS NIH HHS 9 U54 TR000021NCATS NIH HHS UL1 TR002373NCRR NIH HHS UL1 RR025011Patient-Centered Outcomes Research Institute HSD-1603-35039the Wisconsin Partnership ProgramUniversity of Wisconsin School of Medicine and Public Health's Health Innovation Program (HIP)
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic, patients with chronic illnesses avoided regular medical care, raising concerns about long-term complications. Our objective was to identify a population of older patients with chronic conditions who may be at risk from delayed or missed care (DMC) and follow their non-COVID outcomes during the pandemic.

methodsWe used a retrospective matched cohort design using Medicare claims and electronic health records at a large health system with community and academic clinics. Participants included 14,406 patients over 65 years old with two or more chronic conditions who had 1 year of baseline data and up to 9 months of postpandemic follow-up from March 1, 2019 to December 31, 2020; and 14,406 matched comparison patients from 1 year prior. Risk from DMC was defined by 13 indicators, including chronic conditions, frailty, disability affecting the use of telehealth, recent unplanned acute care, prior missed outpatient care, and social determinants of health. Outcomes included mortality, inpatient events, Medicare payments, and primary care and specialty care visits (in-person and telehealth).

resultsA total of 25% of patients had four or more indicators for risk from DMC. Per 1000 patients annually, those with four or more indicators had increased mortality of 19 patients (95% confidence interval, 4 to 32) and decreased utilization, including unplanned events (-496 events, -611 to -381) and primary care visits (-1578 visits, -1793 to -1401).

conclusionsOlder patients who had four or more indicators for risk from DMC had higher mortality and steep declines in inpatient and outpatient utilization during the pandemic.

Indexed as

COVID-19AgedChronic DiseaseHumansMedicarePandemicsRetrospective StudiesSARS-CoV-2United StatesCOVID-19 pandemicdelayed careMedicaremultiple chronic conditions

Identifiers

PMID35211958
PMCPMC9106879

What OpenQuestion holds

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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.