Evidence map›Paper›PMID 37157039›Full record

ArticleJournal of general internal medicine2023

Effect of Chronic Disease Home Telehealth Monitoring in the Veterans Health Administration on Healthcare Utilization and Mortality.

Nicholas M Mohr, J Priyanka Vakkalanka, Andrea Holcombe, Knute D Carter, Kimberly D McCoy, Heidi M Clark, Jeydith Gutierrez, Kimberly A S Merchant, George J Bailey, Marcia M Ward

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.8field-weighted citation impact, top 5% 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, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
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

10 authors at 2 institutions in 1 country.

Nicholas M MohrDepartment of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA. nicholas-mohr@uiowa.edu.ORCID 0000-0003-0497-5828
J Priyanka VakkalankaDepartment of Emergency Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
Andrea HolcombeOffice of Rural Health, Veterans Rural Health Resource Center-Iowa City, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Knute D CarterDepartment of Biostatistics, University of Iowa College of Public Health, Iowa City, IA, USA.
Kimberly D McCoyOffice of Rural Health, Veterans Rural Health Resource Center-Iowa City, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Heidi M ClarkOffice of Rural Health, Veterans Rural Health Resource Center-Iowa City, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Jeydith GutierrezOffice of Rural Health, Veterans Rural Health Resource Center-Iowa City, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Kimberly A S MerchantDepartment of Health Management and Policy, University of Iowa College of Public Health, Iowa City, IA, USA.
George J BaileyOffice of Rural Health, Veterans Rural Health Resource Center-Iowa City, Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Marcia M WardDepartment of Health Management and Policy, University of Iowa College of Public Health, Iowa City, IA, USA.
University of Iowa · USIowa City VA Health Care System · US

Funding

HRSA HHS U3G RH40003
6 · The paper itself

Abstract

backgroundThe high prevalence of chronic diseases, including congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM), accounts for a large burden of cost and poor health outcomes in US hospitals, and home telehealth (HT) monitoring has been proposed to improve outcomes.

objectiveTo measure the association between HT initiation and 12-month inpatient hospitalizations, emergency department (ED) visits, and mortality in veterans with CHF, COPD, or DM.

designComparative effectiveness matched cohort study. PATIENTS: Veterans aged 65 years and older treated for CHF, COPD, or DM. MAIN MEASURES: We matched veterans initiating HT with veterans with similar demographics who did not use HT (1:3). Our outcome measures included a 12-month risk of inpatient hospitalization, ED visits, and all-cause mortality. KEY

resultsA total of 139,790 veterans with CHF, 65,966 with COPD, and 192,633 with DM were included in this study. In the year after HT initiation, the risk of hospitalization was not different in those with CHF (adjusted odds ratio [aOR] 1.01, 95% confidence interval [95%CI] 0.98-1.05) or DM (aOR 1.00, 95%CI 0.97-1.03), but it was higher in those with COPD (aOR 1.15, 95%CI 1.09-1.21). The risk of ED visits was higher among HT users with CHF (aOR 1.09, 95%CI 1.05-1.13), COPD (1.24, 95%CI 1.18-1.31), and DM (aOR 1.03, 95%CI 1.00-1.06). All-cause 12-month mortality was lower in those initiating HT monitoring with CHF (aOR 0.70, 95%CI 0.67-0.73) and DM (aOR 0.79, 95%CI 0.75-0.83), but higher in COPD (aOR 1.08, 95%CI 1.00-1.16).

conclusionsThe initiation of HT was associated with increased ED visits, no change in hospitalizations, and lower all-cause mortality in patients with CHF or DM, while those with COPD had both higher healthcare utilization and all-cause mortality.

Indexed as

Diabetes MellitusHeart FailurePulmonary Disease, Chronic ObstructiveTelemedicineChronic DiseaseCohort StudiesHospitalizationHumansPatient Acceptance of Health CareVeterans Healthchronic diseasediabetes mellitusheart failurepulmonary disease, chronic obstructivetelemedicine

Identifiers

PMID37157039
PMCPMC10682298
OpenAlexW4375861574

What OpenQuestion holds

Textmetadata
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.