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Should we embed randomized controlled trials within action research: arguing from a case study of telemonitoring

Overview of attention for article published in BMC Medical Research Methodology, June 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Should we embed randomized controlled trials within action research: arguing from a case study of telemonitoring
Published in
BMC Medical Research Methodology, June 2016
DOI 10.1186/s12874-016-0175-6
Pubmed ID
Authors

Karen Day, Timothy W. Kenealy, Nicolette F. Sheridan

Abstract

Action research (AR) and randomized controlled trials (RCTs) are usually considered to be theoretically and practically incompatible. However, we argue that their respective strengths and weaknesses can be complementary. We illustrate our argument from a recent study assessing the effect of telemonitoring on health-related quality of life, self-care, hospital use, costs and the experiences of patients, informal carers and health care professionals in two urban hospital services and one remote rural primary care service in New Zealand. Data came from authors' observations and field notes of discussions with three groups: the healthcare providers and healthcare consumers who participated in the research, and a group of 17 researchers and collaborators. The consumers had heart failure (Site A, urban), airways disease (Site B, urban), and diabetes (Site C, rural). The research ran from 2008 (project inception) until 2012 (project close-off). Researchers came from a wide range of disciplines. Both RCT and AR methods were recognised from early in the process but often worked in parallel rather than together. In retrospect, we have mapped our observed research processes to the AR cycle characteristics (creation of communicative space, democracy and participation, iterative learning and improvement, emergence, and accommodation of different ways of knowing). We describe the context, conduct and outcomes of the telemonitoring trial, framing the overall process in the language of AR. Although not fully articulated at the time, AR processes made the RCT sensitive to important context, e.g. clinical processes. They resulted in substantive changes to the design and conduct of the RCT, and to interpretation and uptake of findings, e.g. a simpler technology procurement process emerged. Creating a communicative space enabled co-design between the researcher group and collaborators from the provider participant group, and a stronger RCT design. It appears possible to enhance the utility of RCTs by explicitly embedding them in an AR framework to shape stronger RCT design. The AR process and characteristics may enable researchers to evaluate telehealth while enhancing rather than compromising the quality of an RCT, where research results are returned to practice as part of the research process. Australian New Zealand Clinical Trials Registry, reference ACTRN12610000269033 .

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 <1%
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 14%
Student > Bachelor 28 12%
Student > Ph. D. Student 27 12%
Researcher 26 12%
Student > Doctoral Student 13 6%
Other 32 14%
Unknown 69 31%
Readers by discipline Count As %
Nursing and Health Professions 43 19%
Medicine and Dentistry 40 18%
Psychology 17 8%
Social Sciences 15 7%
Agricultural and Biological Sciences 5 2%
Other 27 12%
Unknown 79 35%
Attention Score in Context

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 27 June 2016.
All research outputs
#7,697,099
of 23,577,654 outputs
Outputs from BMC Medical Research Methodology
#1,125
of 2,081 outputs
Outputs of similar age
#121,744
of 342,504 outputs
Outputs of similar age from BMC Medical Research Methodology
#14
of 33 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 45th percentile – i.e., 45% 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 342,504 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 64% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.