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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development and psychometric testing of a theory-based tool to measure self-care in diabetes patients: the Self-Care of Diabetes Inventory
|
|---|---|
| Published in |
BMC Endocrine Disorders, October 2017
|
| DOI | 10.1186/s12902-017-0218-y |
| Pubmed ID | |
| Authors |
Davide Ausili, Claudio Barbaranelli, Emanuela Rossi, Paola Rebora, Diletta Fabrizi, Chiara Coghi, Michela Luciani, Ercole Vellone, Stefania Di Mauro, Barbara Riegel |
| Abstract |
Self-care is essential for patients with diabetes mellitus. Both clinicians and researchers must be able to assess the quality of that self-care. Available tools have various limitations and none are theoretically based. The aims of this study were to develop and to test the psychometric properties of a new instrument based on the middle range-theory of self-care of chronic illness: the Self-Care of Diabetes Inventory (SCODI). Forty SCODI items (5 point Likert type scale) were developed based on clinical recommendations and grouped into 4 dimensions: self-care maintenance, self-care monitoring, self-care management and self-care confidence based on the theory. Content validity was assessed by a multidisciplinary panel of experts. A multi-centre cross-sectional study was conducted in a consecutive sample of 200 type 1 and type 2 diabetes patients. Dimensionality was evaluated by exploratory factor analyses. Multidimensional model based reliability was estimated for each scale. Multiple regression models estimating associations between SCODI scores and glycated haemoglobin (HbA1c), body mass index, and diabetes complications, were used for construct validity. Content validity ratio was 100%. A multidimensional structure emerged for the 4 scales. Multidimensional model-based reliabilities were between 0.81 (maintenance) and 0.89 (confidence). Significant associations were found between self-care maintenance and HbA1c (p = 0.02) and between self-care monitoring and diabetes complications (p = 0.04). Self-care management was associated with BMI (p = 0.004) and diabetes complications (p = 0.03). Self-care confidence was a significant predictor of self-care maintenance, monitoring and management (all p < 0.0001). The SCODI is a valid and reliable theoretically-grounded tool to measure self-care in type 1 and type 2 DM patients. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 25% |
| Australia | 1 | 13% |
| Cyprus | 1 | 13% |
| Netherlands | 1 | 13% |
| United States | 1 | 13% |
| Spain | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 13% |
| Student > Ph. D. Student | 16 | 10% |
| Student > Bachelor | 16 | 10% |
| Lecturer | 10 | 6% |
| Student > Doctoral Student | 9 | 5% |
| Other | 37 | 22% |
| Unknown | 57 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 53 | 32% |
| Medicine and Dentistry | 20 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Engineering | 5 | 3% |
| Social Sciences | 5 | 3% |
| Other | 17 | 10% |
| Unknown | 61 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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
#4,351,201
of 25,389,532 outputs
Outputs from BMC Endocrine Disorders
#146
of 868 outputs
Outputs of similar age
#73,039
of 335,003 outputs
Outputs of similar age from BMC Endocrine Disorders
#6
of 10 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 868 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 83% 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 335,003 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 78% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.