4 manori dr final presentation for sessions 2014
DESCRIPTION
ÂTRANSCRIPT
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Impact of HIV/AIDS on the Quality Of Life
A Cross Sectional Study among Patients Receiving Antiretroviral Therapy from a Peripheral STD Clinic in
Sri Lanka
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P.H.M.P Bandara¹, A.A.I.N Jayasekara¹ S.N Jayasuriya², J. Ranatunga²
1. National STD/AIDS Control Programme, Sri Lanka. 2. STD Clinic, Teaching Hospital Colombo North, Sri Lanka
210/27/2014
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Introduction
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Background of the study• With the miraculous effects of Anti Retroviral
Therapy, HIV has become just another chronic disease; having minimal impact on the life expectancy of an affected individual.
• On the other hand, increasingly health care planners are recognizing that measures of disease alone are insufficient determinants of health status.
• Therefore, Complementary Health Status Measures are required to determine HIV health status
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Complementary Health Status Measures
Health Status Measures
Functional HealthStatus
Health & Well being
Objective Subjective
These measures are multi-level & multi-dimensional
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Quality of Life(QOL) measure
Health Status Measures
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Quality Of Life (QOL)
“An individual’s perception of their position in
life in the context of the cultural & value
systems in which they live and in relation to
their goals, expectations, standards &
concerns”
- World Health Organization
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Objectives
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Objectives
1. To assess the quality of life of HIV positive patients who are on ARV for more than six months under four main domains (Physical, Psychological, Social & Environmental)
2. To establish possible associations of each of the above domains with • Socio-demographic characteristics• Selected clinical parameters
• Based on literature review & conceptual framework
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Methodology
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Details of the study
Study designCross Sectional study
Study settingSTD Clinic, Ragama
• Total Number of adult HIV patients registered – 108• Number on ART – 59 / Number on ART for >6/12 – 47 • Total number of Children (<12 years)- 04
Study populationAll HIV positive adult outpatients who are on ART for more thansix months
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Inclusion & Exclusion criteria
• Inclusion Criteria• All HIV positive patients who are on ART for >6/12
• Exclusion Criteria• HIV positive patients who are still not started on ART• HIV positive patients who are on ART for <6/12• Children less than 12 years
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Study Methodology
• Study Instrument• Interviewer administered pre-tested questionnaire
• Sample Size: • Forty seven (47) patients
• Selection & training of the Interviewer• Interviewer – Trained nursing officer (Not involved in
HIV patient management)
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Study Methodology contd….
• Focus on validity of data• Training of the Interviewer• Random supervisions of the Interviewer
• Study Duration• Period of two months
• Data extraction• Clinical data extraction was done by the Investigators using the
clinic records
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Questionnaire• Questionnaire - WHOQOL-Bref (Sinhala) instrument • Process of Translation & modification• Pre testing of the questionnaire
• Training of the interviewer – by the Principal Investigator
• WHOQOL-BREF, an abbreviated version of the WHOQOL-100(WHOQOL-100 quality of life assessment was developed by the WHOQOL group with 15 international field centres, simultaneously, in an attempt to develop a quality of life assessment that would be applicable cross-culturally)
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Scoring system of the questions
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Summarizing into domains
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Process of calculating the transformed score from the raw score
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Transformedscore
= Actual raw domain score- lowest possible raw domain scorePossible raw domain score range x100
Analysis• Extraction using SPSS v20• One way Analysis of Variance (ANOVA)
• Significant difference between some selected clinical data & the socio-demographic variables on QOL domains
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Results
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Characteristics of study sample
• The mean age of the study population was 44.23 years (range 27-68 years)(SD 10.4)
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Gender
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29.70%
70.20%
Distribution of study population by Gender
Female
Male
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Marital Status
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21.20%
59.50%
0
4.30%8.50%6.30%
Distribution of the study population by the Marital Status
Single
Married
Livingto
Seperated
Divorced
Widowed
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Highest level of Education
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2.10%
17.00%
57.5%
14.90%8.50%
0%
Distribution of study population by highest level of Education
1-5
6-10
GCEOL
GCEAL
DIPdeg
NoSchooling
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Monthly Income
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12.80%12.80%
53.20%
21.20%
Distribution of study population by Monthly Income
Less than 10000
10000-20000
20000-50000
More than 50000
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Current Occupation
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4.30%12.70%
0%
6.40%
29.80%
44.70%
2.10%
0%
Distribution of the study population by Current Occupation
Unemployed
Self
Student
Executive
MiddleLevelEmployed
Labourer
Retired
UnableToWork
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Mode of transmission of HIV
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76.50%
23.50%
Distribution of the mode of Transmission of HIV infection of the study population
heterosexual
homosexual/bisexual
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Stage at Diagnosis of infection
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46.80%
4.30%
27.70%
21.20%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
1
2
3
4
Percentage
WHO
clin
ical
stag
e
Distribution of Stage at Diagnosis of the Infection
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Reported opportunistic infections
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50%
6%
7%
2%
13%
22%
0% 10% 20% 30% 40% 50% 60%
No OIs
Oesophagal candidiasia
Oral Candidiasis
Other OIs
PCP Pneumonia
TB
Percentage
Opp
orun
istic
Infe
cton
Distribution of reported Opportunistic Infections
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Medical co-morbidities
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2.00%
2.00%
10.00%
2.00%
2.00%
76%
2.00%
4.00%
0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00%
CKD
CLD
Diabetes
Hypertension
Hypercholoestreolaemia
None
Asthma
Other
Percentage
Med
ical
Co-
mor
bidi
ties
Distribution of Medical Co-morbidities
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Results Contd……
• The overall QOL mean score on a scale of 0-100 was 74.38
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Comparison of Mean Scores
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86.8
74.17
57.13
79.41
0
10
20
30
40
50
60
70
80
90
100
Physical Psychological Social Environmental
Mea
n sc
ore
QOL domain
Mean Score four domains of QOL
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Social domain observation
Three facets of social domain have been assessed
Observed:Low satisfaction related to sexual activity
Need further analysis
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Significance of physical health attributes
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0.922
0.851
0.829
0.735
0.67
0.548
0.512
0.508
0.431
0.318
0.079
0.026
0.004
0.001
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Age
Occupation
Gender
Medical Co-morbidities
CD4 at diagnosis
Marital Status
Income
Level of education
ARV Regimen
Side effects of ARV
Stage at diagnosis
Viral load
Adherence
CD4 at present
p-Value
Varia
ble
of in
tere
stDistribution of p-values for clinical & socio demographic parameters in the
Physical health domain
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Significance of Psychological health attributes
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0.793
0.556
0.494
0.492
0.426
0.407
0.232
0.163
0.12
0.03
0.007
0.001
0.001
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Gender
Alcohol
Recreational drug use
Mode of transmission
Marital Status
Medical Co-morbidities
Occupation
Age
Level of education
Stage at diagnosis
Side effects of ARV
Income
Adherence
p-Value
Varia
le o
f int
eres
t
Distribution of p-values for clinical & socio demographic parameters in the Psychology domain
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Significance of Social Relationship domain parameters
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0.995
0.987
0.828
0.814
0.548
0.522
0.309
0.15
0.03
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1.1
Gender
Recreational drug use
Income
Mode of transmission
Age
Alcohol
Occupation
Marital Status
Level of education
p-Value
Varia
ble
of in
tere
st
Distribution of p-values for clinical & socio demographic parameters in the Social Relationship domain
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Significance of Environment domain parameters
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0.253
0.538
0.747
0.079
0.345
0.034
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Age
Gender
Marital Status
Level of education
Occupation
Income
p-Value
Varia
ble
of in
tere
st
Distribution of p-values for clinical & socio demographic parameters in the Environment domain
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Analysis & Results
• Significantly better QOL scores in the Physical Health domain (p=0.01) with respect to
• CD4 count• > 95% adherence
• Significantly better QOL scores in the Psychology domain (p=0.01) with respect to
• >95% adherence• Income• ARV
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Results Cont.No associations were observed with;• Socio demographic parameters
• Age• Gender• Marital status• Occupation
• Clinical parameters• Duration of ARV medications• Current ARV regimen• Alcohol and recreational drugs
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Inter-domain correlationDomain Parameter Physical health Psychology Social Environmental
Physical health domain Transformed score
Pearson Correlation .567** .178 .713**
p-value (2-tailed) .000 .231 .000N 47 47 47
Psychological domain Transformed score
Pearson Correlation .567** .158 .671**
p-value (2-tailed) .000 .290 .000N 47 47 47
Social domain Transformed score
Pearson Correlation .178 .158 .297*
p-value (2-tailed) .231 .290 .042N 47 47 47
Environment Domain Transformed score
Pearson Correlation .713** .671** .297*
p-value (2-tailed) .000 .000 .042N 47 47 47
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Inter Domain Correlation
• Environmental domain attributes are positively correlated with Physical and Psychological domainattributes at 1% significance
• Psychological domain attributes are positively correlated with Physical domain attributes at 1% significance
Detailed study on Inter-attribute correlation across the above domain pairs will provide specific clues in
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ConclusionTesting at 1% Significance level,
QOL of HIV patients is associated with;• Income • Current CD4 count• Drug adherence• Side effects of ARV
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Recommendations
1. National cohort analysis of patients on ART should be done annually to assess the ART outcome
2. QOL assessment should be integrated into the HIV management protocols
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Future Scope
• Detailed analysis of each domain• To find relative contribution of each component• To address the facets with low contribution
• Comparison of QOL of different cohorts in different ART centers in Sri Lanka
• To assess the significance in order to take necessary actions to improve QOL
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Limitations
• Small sample size
• Relatively low sample size of females ( 70% vs 30%)
• Quality of life of children could not be assessed
• Need a separate tool for that
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Acknowledgement
• Staff at the STD Clinic Ragama
• Co-researchers• Dr Jayadarie Ranatunga• Dr Niroshan Jayasekara• Dr Subashini Jayasuriya
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References1. Development of the World Health Organization WHOQOL-BREF quality of life assessment. The WHOQOL Group. Psychol Med. 1998;28:551–8.
2. Clayson DJ, Wild DJ, Quarterman P, Duprat-Lomon I, Kubin M, Coons SJ. A comparative review of health related quality of life measures for use in HIV/AIDS clinical trials. Pharmacoeconomics. 2006;24:751–65.
3. Fauci AS. The AIDS Epidemic: Considerations for the 21st Century. N Engl J Med. 1999;341:1046–50.
4. Walker N, Grassly NC, Garnett GP, Stanecki KA, Ghys PD. Estimating the global burden of HIV/AIDS: What do we really know about the HIV pandemic? Lancet. 2004;363:2180–5.
5. Beck EJ, Miners AH, Tolley K. The cost of HIV treatment and care: A global review. Pharmacoeconomics. 2001;19:13–39.
6. Halloran J. Increasing survival with HIV: Impact on nursing care. AACN Clin Issues. 2006;17:8–17.
7. Kassutto S, Maghsoudi K, Johnston MN, Robbins GK, Burgett NC, Sax PE, et al. Longitudinal analysis of clinical markers following antiretroviral therapy initiated during acute or early HIV Type I infection. ClinInfect Dis. 2006;42:1024–31.
8. Aranda-Naranjo B. Quality of life in HIV-positive patient. J Assoc Nurses AIDS Care. 2004;15:20–7.
9. Hays RD, Cunningham WE, Sherbourne CD, Wilson IB, Wu AW, Cleary PD, et al. Health-related quality of life in patients with human immunodeficiency virus infection in the United States: Results from the HIV Cost and Services Utilization Study. Am J Med. 2000;108:714–22.
10. Mannheimer SB, Matts J, Telzak E, Chesney M, Child C, Wu AW, et al. Quality of life in HIV-infected individuals receiving antiretroviral therapy is related to adherence. AIDS Care. 2005;17:10–22.
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Thank You
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