Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease
Persons living with human immunodeficiency virus (HIV) are living longer; therefore, they are more likely to suffer significant morbidity due to potentially treatable liver diseases. Clinical evidence suggests that the growing number of individuals living with HIV and liver disease may have a poorer...
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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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Series: | AIDS Research and Treatment |
Online Access: | http://dx.doi.org/10.1155/2012/169645 |
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author | Wendy A. Henderson Angela C. Martino Noriko Kitamura Kevin H. Kim Judith A. Erlen |
author_facet | Wendy A. Henderson Angela C. Martino Noriko Kitamura Kevin H. Kim Judith A. Erlen |
author_sort | Wendy A. Henderson |
collection | DOAJ |
description | Persons living with human immunodeficiency virus (HIV) are living longer; therefore, they are more likely to suffer significant morbidity due to potentially treatable liver diseases. Clinical evidence suggests that the growing number of individuals living with HIV and liver disease may have a poorer health-related quality of life (HRQOL) than persons living with HIV who do not have comorbid liver disease. Thus, this study examined the multiple components of HRQOL by testing Wilson and Cleary’s model in a sample of 532 individuals (305 persons with HIV and 227 persons living with HIV and liver disease) using structural equation modeling. The model components include biological/physiological factors (HIV viral load, CD4 counts), symptom status (Beck Depression Inventory II and the Medical Outcomes Study HIV Health Survey (MOS-HIV) mental function), functional status (missed appointments and MOS-HIV physical function), general health perceptions (perceived burden visual analogue scale and MOS-HIV health transition), and overall quality of life (QOL) (Satisfaction with Life Scale and MOS-HIV overall QOL). The Wilson and Cleary model was found to be useful in linking clinical indicators to patient-related outcomes. The findings provide the foundation for development and future testing of targeted biobehavioral nursing interventions to improve HRQOL in persons living with HIV and liver disease. |
format | Article |
id | doaj-art-720d9323295f4e4ba75649b48f60c8d6 |
institution | Kabale University |
issn | 2090-1240 2090-1259 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
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series | AIDS Research and Treatment |
spelling | doaj-art-720d9323295f4e4ba75649b48f60c8d62025-02-03T01:03:47ZengWileyAIDS Research and Treatment2090-12402090-12592012-01-01201210.1155/2012/169645169645Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver DiseaseWendy A. Henderson0Angela C. Martino1Noriko Kitamura2Kevin H. Kim3Judith A. Erlen4Biobehavioral Unit, National Institute of Nursing Research, National Institutes of Health, DHHS, 10 Center Drive, Room 2-1339, Bethesda, MD 20892, USABiobehavioral Unit, National Institute of Nursing Research, National Institutes of Health, DHHS, 10 Center Drive, Room 2-1339, Bethesda, MD 20892, USABiobehavioral Unit, National Institute of Nursing Research, National Institutes of Health, DHHS, 10 Center Drive, Room 2-1339, Bethesda, MD 20892, USASchool of Education, University of Pittsburgh, 5918 Wesley W. Posvar Hall, 230 South Bouquet Street, Pittsburgh, PA 15261, USADepartment of Health and Community Systems, School of Nursing, University of Pittsburgh, 415 Victoria Building, 3500 Victoria Street, Pittsburgh, PA 15261, USAPersons living with human immunodeficiency virus (HIV) are living longer; therefore, they are more likely to suffer significant morbidity due to potentially treatable liver diseases. Clinical evidence suggests that the growing number of individuals living with HIV and liver disease may have a poorer health-related quality of life (HRQOL) than persons living with HIV who do not have comorbid liver disease. Thus, this study examined the multiple components of HRQOL by testing Wilson and Cleary’s model in a sample of 532 individuals (305 persons with HIV and 227 persons living with HIV and liver disease) using structural equation modeling. The model components include biological/physiological factors (HIV viral load, CD4 counts), symptom status (Beck Depression Inventory II and the Medical Outcomes Study HIV Health Survey (MOS-HIV) mental function), functional status (missed appointments and MOS-HIV physical function), general health perceptions (perceived burden visual analogue scale and MOS-HIV health transition), and overall quality of life (QOL) (Satisfaction with Life Scale and MOS-HIV overall QOL). The Wilson and Cleary model was found to be useful in linking clinical indicators to patient-related outcomes. The findings provide the foundation for development and future testing of targeted biobehavioral nursing interventions to improve HRQOL in persons living with HIV and liver disease.http://dx.doi.org/10.1155/2012/169645 |
spellingShingle | Wendy A. Henderson Angela C. Martino Noriko Kitamura Kevin H. Kim Judith A. Erlen Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease AIDS Research and Treatment |
title | Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease |
title_full | Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease |
title_fullStr | Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease |
title_full_unstemmed | Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease |
title_short | Symptom Status Predicts Patient Outcomes in Persons with HIV and Comorbid Liver Disease |
title_sort | symptom status predicts patient outcomes in persons with hiv and comorbid liver disease |
url | http://dx.doi.org/10.1155/2012/169645 |
work_keys_str_mv | AT wendyahenderson symptomstatuspredictspatientoutcomesinpersonswithhivandcomorbidliverdisease AT angelacmartino symptomstatuspredictspatientoutcomesinpersonswithhivandcomorbidliverdisease AT norikokitamura symptomstatuspredictspatientoutcomesinpersonswithhivandcomorbidliverdisease AT kevinhkim symptomstatuspredictspatientoutcomesinpersonswithhivandcomorbidliverdisease AT judithaerlen symptomstatuspredictspatientoutcomesinpersonswithhivandcomorbidliverdisease |