Evidence map›Paper›PMID 34614517›Full record

ArticleApplied clinical informatics2021

Consequences of Rapid Telehealth Expansion in Nursing Homes: Promise and Pitfalls.

Kimberly R Powell, Gregory L Alexander

Abstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

2 authors.

Kimberly R PowellSinclair School of Nursing, University of Missouri, Columbia, Missouri, United States.
Gregory L AlexanderSchool of Nursing, Columbia University, New York, New York, United States.

Funding

A National Report of Nursing Home Quality Measures and Information TechnologyR01HS022497 · AHRQ · UNIVERSITY OF MISSOURI-COLUMBIA · PI ALEXANDER, GREGORY L. · 2013 to 2021
$2.7M
AHRQ HHS R01 HS022497RO1HS022497 Agency for Healthcare Research and Quality
6 · The paper itself

Abstract

backgroundExpectations regarding use and potential benefits of telehealth (TH) in nursing homes (NHs) are high; however, unplanned and unexpected consequences can occur as a result of major policy and technological changes.

objectivesThe goal of this study was to elicit stakeholder perspectives of consequences of rapid TH expansion in NHs.

methodsUsing a qualitative descriptive design, we drew a sample based on findings from a national study examining trends in NH information and technology (IT) maturity, including TH use. We used maximum variation sampling to purposively select participants who (1) participated in our IT maturity survey for two consecutive years, (2) completed year 1 of the IT maturity survey prior to TH expansion (before March 6, 2020) and year 2 after TH expansion (after March 6, 2020), (3) represented a broad range of facility characteristics, and (4) were identified as an end user of TH or responsible for TH implementation. Using six questions from the IT maturity survey, we created a total TH score for each facility and selected participants representing a range of scores.

resultsInterviews were conducted with (

conclusionClinicians and NH administrators should consider leveraging the desirable consequences of rapid TH expansion and implement mitigation strategies to address the undesirable/unanticipated consequences.

Indexed as

Nursing HomesTelemedicineCommunicationHumansInformation TechnologySurveys and Questionnaires

Identifiers

PMID34614517
PMCPMC8494527

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.