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Development of internalized and personal stigma among patients with and without HIV infection and occupational stigma among health care providers in Southern China

Overview of attention for article published in Patient preference and adherence, November 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
22 Mendeley
Title
Development of internalized and personal stigma among patients with and without HIV infection and occupational stigma among health care providers in Southern China
Published in
Patient preference and adherence, November 2016
DOI 10.2147/ppa.s112771
Pubmed ID
Authors

Jing Li, Sawitri Assanangkornchai, Lin Lu, Manhong Jia, Edward McNeil, Jing You, Virasakdi Chongsuvivatwong

Abstract

HIV/AIDS-related stigma is a major barrier of access to care for those infected with HIV. The aim of this study was to examine, validate, and adapt measuring scales of internalized, personal, and occupational stigma developed in Africa into a Chinese context. A cross-sectional study was conducted from January to September 2015 in Kunming, People's Republic of China. Various scales were constructed on the basis of the previous studies with modifications by experts using exploratory and confirmatory factor analyses (EFA + CFA). Validation of the new scales was done using multiple linear regression models and hypothesis testing of the factorial structure invariance. The numbers of subjects recruited for the development/validation samples were 696/667 HIV-positive patients, 699/667 non-HIV patients, and 157/155 health care providers. EFA revealed a two-factor solution for internalized and personal stigma scales (guilt/blaming and being refused/refusing service), which were confirmed by CFA with reliability coefficients (r) of 0.869 and 0.853, respectively. The occupational stigma scale was found to have a three-factor structure (blaming, professionalism, and egalitarianism) with a reliability coefficient (r) of 0.839. Higher correlations of factors in the HIV patients (r=0.537) and non-HIV patients (r=0.703) were observed in contrast to low-level correlations (r=0.231, 0.286, and 0.266) among factors from health care providers. The new stigma scales are valid and should be used to monitor HIV/AIDS stigma in different groups of Chinese people in health care settings.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 23%
Student > Master 5 23%
Researcher 4 18%
Student > Ph. D. Student 4 18%
Professor 1 5%
Other 1 5%
Unknown 2 9%
Readers by discipline Count As %
Psychology 5 23%
Social Sciences 5 23%
Nursing and Health Professions 3 14%
Arts and Humanities 1 5%
Business, Management and Accounting 1 5%
Other 4 18%
Unknown 3 14%

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 14 December 2016.
All research outputs
#3,701,382
of 8,769,477 outputs
Outputs from Patient preference and adherence
#305
of 837 outputs
Outputs of similar age
#98,658
of 246,258 outputs
Outputs of similar age from Patient preference and adherence
#17
of 48 outputs
Altmetric has tracked 8,769,477 research outputs across all sources so far. This one has received more attention than most of these and is in the 57th percentile.
So far Altmetric has tracked 837 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 63% 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 246,258 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 59% of its contemporaries.
We're also able to compare this research output to 48 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 64% of its contemporaries.