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Advantages and psychometric validation of proximal intensive assessments of patient-reported outcomes collected in daily life

Overview of attention for article published in Quality of Life Research, November 2015
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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77 Mendeley
Title
Advantages and psychometric validation of proximal intensive assessments of patient-reported outcomes collected in daily life
Published in
Quality of Life Research, November 2015
DOI 10.1007/s11136-015-1170-9
Pubmed ID
Authors

Eve B. Carlson, Nigel P. Field, Josef I. Ruzek, Richard A. Bryant, Constance J. Dalenberg, Terrence M. Keane, David A. Spain

Abstract

Ambulatory assessment data collection methods are increasingly used to study behavior, experiences, and patient-reported outcomes (PROs), such as emotions, cognitions, and symptoms in clinical samples. Data collected close in time at frequent and fixed intervals can assess PROs that are discrete or changing rapidly and provide information about temporal dynamics or mechanisms of change in clinical samples and individuals, but clinical researchers have not yet routinely and systematically investigated the reliability and validity of such measures or their potential added value over conventional measures. The present study provides a comprehensive, systematic evaluation of the psychometrics of several proximal intensive assessment (PIA) measures in a clinical sample and investigates whether PIA appears to assess meaningful differences in phenomena over time. Data were collected on a variety of psychopathology constructs on handheld devices every 4 h for 7 days from 62 adults recently exposed to traumatic injury of themselves or a family member. Data were also collected on standard self-report measures of the same constructs at the time of enrollment, 1 week after enrollment, and 2 months after injury. For all measure scores, results showed good internal consistency across items and within persons over time, provided evidence of convergent, divergent, and construct validity, and showed significant between- and within-subject variability. Results indicate that PIA measures can provide valid measurement of psychopathology in a clinical sample. PIA may be useful to study mechanisms of change in clinical contexts, identify targets for change, and gauge treatment progress.

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X Demographics

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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 11 14%
Researcher 8 10%
Student > Postgraduate 7 9%
Student > Bachelor 6 8%
Other 13 17%
Unknown 14 18%
Readers by discipline Count As %
Psychology 33 43%
Medicine and Dentistry 13 17%
Social Sciences 4 5%
Agricultural and Biological Sciences 2 3%
Neuroscience 2 3%
Other 6 8%
Unknown 17 22%
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 17 March 2016.
All research outputs
#7,224,902
of 22,836,570 outputs
Outputs from Quality of Life Research
#786
of 2,846 outputs
Outputs of similar age
#91,104
of 281,840 outputs
Outputs of similar age from Quality of Life Research
#17
of 59 outputs
Altmetric has tracked 22,836,570 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 2,846 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 281,840 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 66% of its contemporaries.
We're also able to compare this research output to 59 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 71% of its contemporaries.