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Data for improvement and clinical excellence: report of an interrupted time series trial of feedback in long-term care

Overview of attention for article published in Implementation Science, November 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters

Citations

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8 Dimensions

Readers on

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52 Mendeley
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Title
Data for improvement and clinical excellence: report of an interrupted time series trial of feedback in long-term care
Published in
Implementation Science, November 2014
DOI 10.1186/s13012-014-0161-5
Pubmed ID
Authors

Anne E Sales, Corinne Schalm, Melba Andrea B Baylon, Kimberly D Fraser

Abstract

BackgroundThere is considerable evidence about the effectiveness of audit coupled with feedback for provider behavior change, although few feedback interventions have been conducted in long-term care settings. The primary purpose of the Data for Improvement and Clinical Excellence-Long-Term Care (DICE-LTC) project was to assess the effects of a feedback intervention delivered to all direct care providers on resident outcomes. Our objective in this report is to assess the effect of feedback reporting on rates of pain assessment, depression screening, and falls over time.MethodsThe intervention consisted of monthly feedback reports delivered to all direct care providers, facility and unit administrators, and support staff, delivered over 13 months in nine LTC units across four facilities. Data for feedback reports came from the Resident Assessment Instrument Minimum Data Set (RAI) version 2.0, a standardized instrument mandated in LTC facilities throughout Alberta. The primary evaluation used an interrupted time series design with a comparison group (units not included in the feedback intervention) and a comparison condition (pressure ulcers). We used segmented regression analysis to assess the effect of the feedback intervention.ResultsThe primary outcome of the study, falls, showed little change over the period of the intervention, except for a small increase in the rate of falls during the intervention period. The only outcome that improved during the intervention period was the proportion of residents with high pain scores, which decreased at the beginning of the intervention. The proportion of residents with high depression scores appeared to worsen during the intervention.ConclusionsMaintaining all nine units in the study for its 13-month duration was a positive outcome. The feedback reports, without any other intervention included, did not achieve the desired reduction in proportion of falls and elevated depression scores. The survey on intention to change pain assessment practice which was conducted shortly after most of the feedback distribution cycles may have acted as a co-intervention supporting a reduction in pain scores. The processing and delivery of feedback reports could be accomplished at relatively low cost because the data are mandated and could be added to other intervention approaches to support implementation of evidence-based practices.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 7 13%
Student > Master 5 10%
Professor 5 10%
Lecturer 3 6%
Other 11 21%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Psychology 7 13%
Nursing and Health Professions 6 12%
Social Sciences 5 10%
Computer Science 2 4%
Other 4 8%
Unknown 12 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2022.
All research outputs
#6,153,168
of 20,793,985 outputs
Outputs from Implementation Science
#1,123
of 1,673 outputs
Outputs of similar age
#71,342
of 251,025 outputs
Outputs of similar age from Implementation Science
#91
of 153 outputs
Altmetric has tracked 20,793,985 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,673 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 251,025 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.