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The challenge of recruiting in primary care for a trial of telemonitoring in asthma: an observational study

Overview of attention for article published in Pragmatic and Observational Research, August 2012
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Title
The challenge of recruiting in primary care for a trial of telemonitoring in asthma: an observational study
Published in
Pragmatic and Observational Research, August 2012
DOI 10.2147/por.s34380
Pubmed ID
Authors

Shweta Malhotra, Stanley D Musgrave, Hilary Pinnock, David Price, Dermot P Ryan

Abstract

Achieving target recruitment in randomized controlled trials (RCTs) is challenging. This paper compares our experience of recruiting for an RCT with the predictions made in our proposal. Participating UK primary care practices searched their computer databases to identify patients (12 years and over) with asthma who may be poorly controlled. Postal invitations were sent to all patients identified. Respondees were prescreened by phone, to assess their asthma control and establish their mobile phone suitability. Potentially eligible patients were booked for a trial recruitment visit. We recruited 288 patients (2.4% of those invited) across 32 practices, with a total list size of 311,926 patients. This compares to our predicted recruitment of 312 patients from a population of 72,000 patients in six to eight practices. In addition to the recognized problem of poor response rates, the major challenges were insufficiently discriminating computer searches and incompatibilities between mobile phone handsets, networks and the asthma application. Our data have implications for clinicians, managers, and researchers in primary care. Researchers in this area may wish to consider our data when designing their recruitment strategies. Improved coding of asthma morbidity data in clinical practice would ease identification of poorly controlled patients, both for clinical interventions and recruitment to trials. If telehealth is to become mainstream, there needs to be standardization of applications, operating platforms, and network capabilities.

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Lecturer 2 7%
Researcher 2 7%
Other 3 11%
Unknown 9 33%
Readers by discipline Count As %
Medicine and Dentistry 10 37%
Nursing and Health Professions 4 15%
Psychology 2 7%
Computer Science 2 7%
Unknown 9 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 August 2012.
All research outputs
#14,841,451
of 25,748,735 outputs
Outputs from Pragmatic and Observational Research
#1
of 1 outputs
Outputs of similar age
#101,310
of 179,842 outputs
Outputs of similar age from Pragmatic and Observational Research
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.5. This one scored the same or higher as 0 of them.
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