The UARTO psychosocial assessments also sought to measure several potentially related constructs, including self-blame for HIV status, depression symptom severity, enacted stigma, health-related quality of life, and HIV-related symptom burden. We measured self-blame by asking participants whether they agreed (yes/no) with the statement, “It is my own fault that I am HIV-positive.” To measure depression symptom severity, we used the 15-item Hopkins Symptom Checklist for Depression [31 (link)]. Following prior studies of depression in Uganda, we modified the depression scale for the local context by adding a 16th item, “feeling like I don’t care about my health” [32 ]. Each item is scored on a four-point Likert-type scale ranging from 1 to 4, and the total scale score is computed as the average of the 16 items. To assess enacted stigma, which refers to overt acts of HIV-related discrimination [29 (link)], we asked participants whether or not they had ever experienced (yes/no) any one of 13 different events, including spousal abandonment, discrimination in health care settings, loss of housing, threats of violence, or physical assault. Health-related quality of life was measured with the Medical Outcomes Study-HIV Health Survey (MOS-HIV) mental health summary (MHS) and physical health summary (PHS) scores. The MOS-HIV consists of 35 items grouped into 11 domains, and higher MHS and PHS scores reflect a better health-related quality of life [33 (link)–35 (link)]. The individual domains are scored as summated rating scales from 0–100, and the overall MHS and PHS scores are transformed to t-scores with a mean of 50 and a standard deviation of 10. For HIV-related symptom burden, we inquired about whether or not participants had experienced, in the previous month, any of 29 potentially HIV-related symptoms (e.g., “tremors or shakes,” “problems with weight loss or wasting,” “change in the way your body looks such as fat deposits or weight gain,” “skin problems, such as rash, dryness, or itching,” “hair loss or changes in the way your hair looks,” “enlarged bumps in your neck, armpits, or groin,” etc.). Among participants who had experienced a particular symptom, the extent to which they found each symptom bothersome was scored on a four-point Likert-type scale ranging from 0 to 4. These variables were used to create an equally weighted average of the z-scores [36 ], with the sign of the aggregate measure oriented so that greater values of the symptom index are associated with a greater symptom burden.
Measuring Internalized HIV Stigma and Related Constructs
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Corresponding Organization :
Other organizations : Center for Global Health, Massachusetts General Hospital, University of California, San Francisco, Mbarara University of Science and Technology
Protocol cited in 18 other protocols
Variable analysis
- None explicitly mentioned
- Internalized AIDS-Related Stigma (measured by the Internalized AIDS-Related Stigma Scale)
- Self-blame for HIV status
- Depression symptom severity (measured by the Hopkins Symptom Checklist for Depression)
- Enacted stigma (measured by experiences of discrimination)
- Health-related quality of life (measured by the MOS-HIV mental health summary and physical health summary scores)
- HIV-related symptom burden (measured by the experience and bother of 29 potentially HIV-related symptoms)
- None explicitly mentioned
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!