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Development and initial testing of the self‐care of chronic illness inventory

Overview of attention for article published in Journal of Advanced Nursing, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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23 X users
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2 Wikipedia pages

Readers on

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218 Mendeley
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Article details
Title
Development and initial testing of the self‐care of chronic illness inventory
Published in
Journal of Advanced Nursing, July 2018
DOI 10.1111/jan.13775
Pubmed ID
Authors
Abstract

To develop and psychometrically test the Self-Care of Chronic Illness Inventory, a generic measure of self-care. Existing measures of self-care are disease-specific or behavior-specific; no generic measure of self-care exists. Cross-sectional survey. We developed a 20-item self-report instrument based on the Middle Range Theory of Self-Care of Chronic Illness, with three separate scales measuring Self-Care Maintenance, Self-Care Monitoring and Self-Care Management. Each of the three scales is scored separately and standardized 0 to 100 with higher scores indicating better self-care. After demonstrating content validity, psychometric testing was conducted in a convenience sample of 407 adults (enrolled from in-patient and out-patient settings at five sites in the United States and ResearchMatch. org. Dimensionality testing with confirmatory factor analysis preceded reliability testing. The Self-Care Maintenance scale (8 items, 2 dimensions: illness related and health promoting behavior) fit well when tested with a two-factor confirmatory model. Internal coherence reliability was estimated at .67. The Self-Care Monitoring scale (5 items, single factor) fit well and reliability was .81. The Self-Care Management scale (7 items, 2 factors: autonomous and consulting behavior), when tested with a two-factor confirmatory model, fit adequately. Internal coherence reliability was .71. A simultaneous confirmatory factor analysis on the combined set of items supported the more general model. The Self-Care of Chronic Illness Inventory is adequate in reliability and validity. We suggest further testing in diverse populations of patients with chronic illnesses. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer > Senior Lecturer 21 10%
Student > Master 16 7%
Student > Postgraduate 12 6%
Student > Bachelor 11 5%
Student > Ph. D. Student 11 5%
Other 38 17%
Unknown 109 50%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 76 35%
Medicine and Dentistry 10 5%
Unspecified 5 2%
Psychology 4 2%
Chemical Engineering 3 1%
Other 11 5%
Unknown 109 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 24 February 2024.
All research outputs
#2,334,600
of 27,791,244 outputs
Outputs from Journal of Advanced Nursing
#932
of 6,478 outputs
Outputs of similar age
#42,030
of 345,030 outputs
Outputs of similar age from Journal of Advanced Nursing
#28
of 92 outputs
Altmetric has tracked 27,791,244 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,478 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 85% 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 345,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 92 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 69% of its contemporaries.