Evidence map›Paper›PMID 37885042›Full record

ArticleImplementation science communications2023

Randomized controlled trial of tailored audit with feedback in VHA long-term care settings.

Jennifer Kononowech, Winifred Scott, Zach Landis-Lewis, Anne E Sales

Open access · goldAbstract read
In one paragraph

Article in Implementation science communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Jennifer KononowechCenter for Clinical Management Research, VA Ann Arbor Healthcare System, 2800 Plymouth Rd, Ann Arbor, MI, 48109, USA. Jennifer.Kononowech@va.gov.ORCID http://orcid.org/0000-0002-9683-6739
Winifred ScottGeriatrics and Extended Care Data and Analysis Center, VA Palo Alto Health Care System, 3801 Miranda Ave, Palo Alto, CA, 94304, USA.
Zach Landis-LewisUniversity of Michigan Medical School, 300 N. Ingalls Street, Ann Arbor, MI, 48109, USA.
Anne E SalesCenter for Clinical Management Research, VA Ann Arbor Healthcare System, 2800 Plymouth Rd, Ann Arbor, MI, 48109, USA.
VA Ann Arbor Healthcare System · USUniversity of Michigan · USVA Palo Alto Health Care System · US

Funding

Quality Enhancement Research Initiative QUE 15-288
6 · The paper itself

Abstract

backgroundThe Long-Term Care QUERI program supported implementation of the Life-Sustaining Treatment Decisions Initiative in US Veterans Health Administration long-term care settings. The program worked with eleven Community Living Centers (CLCs) and twelve Home-Based Primary Care (HBPC) programs to increase rates of completed templates, using audit with feedback. We distributed monthly feedback reports to site champions showing the number of Veterans with appropriate documentation. Although feedback reports are a common implementation tool, little is known about the most effective ways to design, distribute, and support them. We sought to test tailoring reports with tips using site-specific data, as well as national comparator data.

methodsWe conducted a cluster randomized controlled trial of monthly feedback reports utilizing site-tailored tips and national comparator data compared to our original feedback reports that included only graphical and numerical data. CLC and HBPC team members were invited to participate in brief surveys each quarter to determine if they had received and used the feedback reports. The outcome for CLC residents was the percent with a completed LST template any time prior to the 14th day of their stay. The outcome for HBPC residents was the percent of Veterans with a completed LST template by their second HBPC visit.

resultsThe response rate to the survey ranged between 6.8 and 19.3% of staff members across the CLC and HBPC sites with 12.8-25.5% of survey respondents reporting that they had seen the feedback reports. The linear regression models showed no significant association between receiving the enhanced feedback reports and having a higher documentation completion rate.

conclusionsReceiving feedback reports tailored to sites by including tips based on baseline context assessments and qualitative findings, and reports showing national comparator data, did not have an impact on the number of Veterans with a completed LST template. Having a higher proportion of CLC or HBPC team members view the reports was not associated with an increase in LST template completion. These findings suggest that tailored audit with feedback may not have been effective at the program level, although the proportion of respondents who reported seeing the reports was small.

Indexed as

Audit and feedbackImplementationLife-sustaining treatmentsQuality improvementTailoring feedbackUser-centered design

Identifiers

PMID37885042
PMCPMC10601134
OpenAlexW4387965458

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.