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Cross-cultural validation of the educational needs assessment tool into Chinese for use in severe knee osteoarthritis

Overview of attention for article published in Patient preference and adherence, May 2018
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Title
Cross-cultural validation of the educational needs assessment tool into Chinese for use in severe knee osteoarthritis
Published in
Patient preference and adherence, May 2018
DOI 10.2147/ppa.s163492
Pubmed ID
Authors

Huiwen Zhao, Zhe Dong, Fei Xie, Guanxin Wang, Zhihua Wen, Lixia Zhang, Mwidimi Ndosi, Wen Luo

Abstract

Patient education is an integral part of the management of osteoarthritis. The educational needs assessment tool (ENAT) was developed in the UK to help direct needs-based patient education in rheumatic diseases. The aim of the study was to adapt and validate the ENAT into Chinese, for use in severe knee osteoarthritis (KOA). This cross-cultural validation study took two phases: 1) adaptation of the ENAT into Chinese (CENAT) and 2) validation of the CENAT. The Construct validity was determined using factor analysis and criterion-related validity by comparing data from CENAT with data from different self-efficacy scales: patient-physician interactions scale (PEPPI-10), self-efficacy for rehabilitation outcome scale (SER), and the self-efficacy for exercise scale (SEE). The sample comprised 196 patients, with mean age 63.6±8.7 years, disease duration was11.5 years, and 57.1% were female. The CENAT was found to have high internal consistency. The CENAT had weak correlations with the Chinese versions of PEPPI r=0.40, SER r=0.40, and SEE r=0.39. There were no correlations with age r=-0.03 or disease duration r=-0.11. The ENAT translated well into Chinese and has evidence of validity in KOA. Future studies will further inform its usefulness in clinics, community, and online settings.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Student > Doctoral Student 4 9%
Student > Ph. D. Student 3 7%
Student > Bachelor 3 7%
Lecturer > Senior Lecturer 2 5%
Other 8 18%
Unknown 16 36%
Readers by discipline Count As %
Nursing and Health Professions 10 23%
Medicine and Dentistry 7 16%
Business, Management and Accounting 2 5%
Arts and Humanities 2 5%
Economics, Econometrics and Finance 1 2%
Other 3 7%
Unknown 19 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 May 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Patient preference and adherence
#1,432
of 1,757 outputs
Outputs of similar age
#264,938
of 339,234 outputs
Outputs of similar age from Patient preference and adherence
#40
of 45 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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