| Title |
Health-related quality of life in pregnant women living with HIV: a comparison of EQ-5D and SF-12
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, August 2017
|
| DOI | 10.1186/s12955-017-0731-8 |
| Pubmed ID | |
| Authors |
Xiaowen Wang, Guangping Guo, Ling Zhou, Jiarui Zheng, Xiumin Liang, Zhanqin Li, Hongzhuan Luo, Yuyan Yang, Liyuan Yang, Ting Tan, Jun Yu, Lin Lu |
| Abstract |
This paper investigates the properties and performance of the two generic measures, EQ-5D and SF-12, for Health-Related Quality of Life (HRQoL) assessments of pregnant women living with HIV in Kunming City, Yiliang County, Daguan County, Longchuan County, Tengchong County, Longling County and Fengqing County in Yunnan Province, China. As part of a screening programme for the prevention of mother-to-child transmission of HIV (PMTCT), a retrospective cross-sectional survey was conducted in the seven Maternal and Infant Health Care centers in Yunnan Province, China, between April and June of 2016. The demographic and HIV infection-related information used in the study was collected through questionnaires designed by the study's staff. HRQoL information was collected using two generic scales: EQ-5D and SF-12. A total sample of one hundred and one pregnant women with a mean age of 30.4 ± 5.1 years was investigated. Average time elapsed since infection diagnoses was 5.8 ± 3.4 years. Only one infant (1.0%) was HIV positive, and 56 (55.4%) infants were HIV negative. The HIV status of 44 (43.6%) infants was unknown. The relationship between the EQ-5D functional dimensions and the PCS-12 and the relationship between the EQ-5D anxiety/depression dimension and the MCS-12 were stronger. Those whose PCS-12 and MCS-12 scores were at the median or lower were classified as being in worse health, while those over the median were classified as being in better health. Respondents who reported no problem on each of the EQ-5D dimensions was divided according to the median SF-12 component scores. Those who scored at the median or lower than the median were classified as being in worse health, while those higher than the median were classified as being in better health. The VAS scores were also significantly different than the median split of the SF-12 scores for these subjects. EQ-5D and SF-12 showed a discrimination ability in measuring the HRQoL of pregnant women living with HIV. The construct validity was identified for EQ-5D and SF-12 in the study. The respective constructs of EQ-5D and EQ-VAS may not overlap. Pregnant women living with HIV in the study gave more weight to their mental health when they provided a total health rating in EQ-VAS. EQ-VAS could explain the limitations of the EQ-5D dimension scores with ceiling effects in the survey. The results of our study could help to determine the suitable HRQoL instruments for pregnant women living with HIV and provide evidence for the proper comparison of EQ-5D and SF-12. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 166 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 15% |
| Student > Master | 23 | 14% |
| Student > Bachelor | 17 | 10% |
| Researcher | 12 | 7% |
| Other | 8 | 5% |
| Other | 19 | 11% |
| Unknown | 62 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 20% |
| Psychology | 22 | 13% |
| Nursing and Health Professions | 18 | 11% |
| Agricultural and Biological Sciences | 7 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Other | 15 | 9% |
| Unknown | 66 | 40% |
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 30 August 2017.
All research outputs
#17,913,495
of 22,999,744 outputs
Outputs from Health and Quality of Life Outcomes
#1,512
of 2,186 outputs
Outputs of similar age
#226,388
of 315,743 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#38
of 61 outputs
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