Evidence map›Paper›PMID 35043397›Full record

ArticleHealth services research2022

Effects of a nursing home telehealth program on spending and utilization for Medicare residents.

Suhui Evelyn Li, Mynti Hossain, Boyd Gilman, Lauren V Forrow, Katie M Lee, Randall Brown

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.6field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Nursing Home-Sensitive Hospitalizations and the Relevance of Telemedicine: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. 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 2 institutions in 2 countries.

Suhui Evelyn LiMathematica Inc., Princeton, New Jersey, USA.ORCID 0000-0001-6123-6947
Mynti HossainMathematica Inc., Ann Arbor, Michigan, USA.
Boyd GilmanMathematica Inc., Cambridge, Massachusetts, USA.ORCID 0000-0002-2240-8168
Lauren V ForrowStatistical consultant at Mathematica Inc., Oxford, UK.
Katie M LeeMathematica Inc., Washington, District of Columbia, USA.
Randall BrownMathematica Inc., Princeton, New Jersey, USA.
Mathematica Policy Research · USMathematical Institute of the Slovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effects of eLongTermCare (eLTC), a telehealth program implemented by an integrated health system in 45 nursing homes across the Midwest, on the use of acute hospital services and total expenditures for Medicare residents. DATA SOURCES: Minimum Data Set, Medicare fee-for-service claims, and enrollment data from 2013 to 2018. STUDY

designWe used a longitudinal difference-in-differences design to estimate the changes in outcomes for treatment beneficiaries before and after participating in the eLTC program, relative to changes for the matched comparison beneficiaries over the same period. We measured outcomes over a 24-month follow-up period, including total Medicare spending, emergency department (ED) visits, hospitalizations, and the likelihood of readmission. DATA COLLECTION/EXTRACTION

methodsUsing administrative data, we identified treatment beneficiaries who stayed at participating nursing facilities during the program period and matched comparison beneficiaries with similar baseline characteristics from non-participating facilities in the same geographic locations. PRINCIPAL

findingsFor long-term care residents, the eLTC program led to an estimated reduction of 73 ED visits per 1000 beneficiaries (p < 0.01, 8.6% effect) over the two-year follow-up period. The estimated effects for this group were concentrated among beneficiaries who entered the nursing home after program startup, with sizable reductions in hospitalizations, ED visits, and spending. For skilled care residents, the program was associated with an estimated reduction of 85 ED visits per 1000 beneficiaries (p = 0.03, 9.7% effect), but had no discernible effect on their hospitalizations or total Medicare spending.

conclusionsTelehealth can be a valuable tool for nursing homes to enhance care coordination and provide timely access to care, leading to lower spending for nursing home residents. Future research needs to explore payment methods that encourage telehealth expansion in nursing homes.

Indexed as

MedicareTelemedicineAgedFee-for-Service PlansHumansNursing HomesSkilled Nursing FacilitiesUnited Stateshealth care costsMedicarenursing homesprogram evaluationtechnology adoption/diffusion/usetelehealthutilization of services

Identifiers

PMID35043397
PMCPMC9441287
OpenAlexW4205999777

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.