Research Article (Open access) |
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SSR Inst. Int. J. Life Sci., 8(3): 3010-3016, May 2022
Hope
and Quality of the Life of People Living with HIV: A Cross-Sectional Study at
ART Center, Bagalkot, Karnataka
Kavita Patil1, Shriharsha C2*, Deelip
S Natekar3
1M.Sc
Nursing, Department of Psychiatric Nursing, BVVS Sajjalashree
Institute of Nursing Sciences, Navanagar, Bagalkot, Karnataka, India
2Professor
& HOD, Department of Psychiatric Nursing, BVVS Sajjalashree
Institute of Nursing Sciences, Navanagar, Bagalkot, Karnataka, India
3Principal,
BVVS Sajjalashree Institute of Nursing Sciences, Navanagar, Bagalkot, Karnataka,
India
*Address for Correspondence: Dr. Shriharsha C, Professor & Head, Deptartment of Psychiatric
Nursing, BVVS Sajjalashree Institute of Nursing
Sciences, Navanagar, Bagalkot,
Karnataka- 587102, India
E-mail: kavita.kp47@gmail.com
ABSTRACT Background: HIV/AIDS emerged as the most important public health issue of the late
twentieth and early twenty-first centuries. Hope & Quality of life (QoL) of People living with HIV/AIDS are affected by
multiple socio-demographic variables as a major predictor of Hope & QoL.
Methods:
This cross-sectional descriptive survey
research design included a sample of 430 PLHIV attending the ART centre, District
Government Hospital, Bagalkot. Data were collected
using the self-report method and Hospital records by socio-demographic
questionnaire, Herths
Hope Scale and WHO QOLHIV-BREF
scale. Pearson's
Correlations, chi-square test and multiple linear regression analysis were
used.
Results: A
significant positive association was found between Hope and QoL
among PLHIV (r= 0.483, p<0.001). A
significant regression equation (F429, 42= 1.842, R2=0.167,
p<0.01). Married status i.e.
married, Occupation i.e. doing Labor work has positively and 3rd and
4th clinical-stage have negatively predicted Hope of PLHIV. A Non
significant regression equation (F429,42=1.37,
R2=0.13, p<0.05). Being a private employee had positively
and Heterosexual had negatively
predicted and remained determinants have not predicted QoL
among PLHIV and there was a
significant association found between marital status and remained variables are
not associated with Hope. There was a significant negative relationship found
between Family monthly income and a positive relationship found between the
duration of HIV and QoL. Marital status is
significantly associated with QoL.
Conclusions: The
overall findings reveals that a significant positive correlation between Hope
and QoL among PLHIV. There was a significant
association found between marital status with Hope.
There was a significant negative relationship found between Family monthly
income and positive relationship found Duration of HIV and QoL.
Keywords:
ART
Centre, Hope, Heterosexual, PLHIV,
Predictors and Quality of life
INTRODUCTION
Human
immunodeficiency virus (HIV) infection /Acquired immunodeficiency syndrome
(AIDS) is one of the serious public health problems with a severe impact on
various facets of human life.[1] At present, in the world, around
36.9 million people are suffering from HIV/AIDS. [2] Every year
around 2 million people are infected by this virus.[2]
With an HIV prevalence of 0.3% in the
adult population, India has an estimated 2.1 million people living with HIV.[3]
In Karnataka 2.5 lakh people are living with
HIV. Out of which 65,053 are undergoing antiretroviral therapy (ART) at 47 ART
centres in the State.[4]
An estimated
38·6 million people living with HIV-1 worldwide, while about 25 million have
died already.[5] Most of the
studies from the country have found that HIV is prevalent at about 2% in
prisoners which is much higher than the prevalence in the general population.[6,7]
These estimates mask the dynamic nature of this evolving epidemic about
temporal changes, geographic distribution, magnitude, viral diversity, and mode
of transmission. Today, there is no region of the world untouched by this pandemic.[8]
Since the availability of
antiretroviral treatments (ART), HIV has been turned from a fatal disease to a
manageable chronic disease. Hence, People Living with HIV (PLHIV) have longer
life spans, which creates new challenges for health care systems.[9] A person living with HIV has to cope
with a range of HIV-related symptoms for their entire life. Symptoms may be
related to the infection itself, co-morbid illnesses or iatrogenic effects from
HIV-related medications.[10,11] Many HIV patients struggle with
numerous social problems such as stigma, discrimination, poverty, depression,
substance abuse, and cultural beliefs which can affect their QOL.[12]
Depression is most prevalent in people living with HIV. Stressful life events
experienced by PLHIV again increase the risk of development of depression by
three to five times more. Hence HIV/AIDS infection compromises the quality of
life in PLHIV.[13]
Assessing hope
and quality of life (QOL) and its predictors are useful for documenting the
patients' perceived burden of chronic disease, tracking changes in health over
time, and assessing the effects of treatment. Because many socio-demographic
and clinical variables influence the Hope & QOL of People with HIV/AIDS,
the present study aims at assessing the Hope & Quality of life of people
living with HIV/AIDS at the ART centre, Bagalkot.
MATERIAL
AND METHODS
Study
Design and Participants- It is a descriptive cross-sectional
study that was conducted between 07 February 2019 to 20
February 2019. A convenient sample of 430 people living with HIV (PLHIV)
coming for follow up counseling at ART Centre, District Government Hospital, Bagalkot were selected for the study. PLHIV, who meet
inclusion criteria were included in the study. PLHIV, who were not on ART within
the last 3 months were excluded because the information from them was asked
based on their last 1-2 months of experience. PLHIV with severe opportunistic
infection were also excluded from the study.
Instruments
Herth’s Hope Scale- The
level of hope was measured by using the Hearth’s Hope Scale. This is a 30- item
scale and it is 4 point scale. Response options range from 0 to 3 for each item
(0= Never applies to me, 1= Seldom applies to me, 2= Sometimes applies to me
and 3= Often applies to me.
Note following
items need to be reverse scored; 6, 10, 13, 17, 22 & 26. Overall scores range between
0 (min) and 90 (max), hence higher
the score better the level of hope. The scale was translated to Kannada and
then back-translated to English. Cronbach’s α of
0.792 was obtained by administering the scale to 30 PLHIV.
Quality
of Life (WHO Quality of Life–HIV BREF)- Quality
of life was measured using the World Health Organization (WHO) Quality of Life
(QOL) HIV short version (WHOQOL-HIV BREF)9, a 31-item scale that
assesses the quality of life of PLHIV in six domains: physical quality of life,
psychological quality of life, independence, social relationships, environment
quality of life, and spirituality/religion/personal beliefs. Overall scores range between 31 (minimum) and
155 (maximum), hence higher the score, better the quality of life. The scale
was validated in various settings across the globe including in India [10,11]. The scale was translated to Kannada and then
back-translated to English. Cronbach’s α of
0.891 was obtained by administering the scale to 30 PLHIV.
Socio-demographic
Variables and Clinical characteristics- Socio-demographic and
clinical variables included age, gender (male/female/transgender), religion,
occupation, educational status, no. of children, monthly income of the family,
current marital status, type of family, family history of HIV, area of
Residence, CD4 count, HIV status of spouse, duration of time with HIV
infection, duration of time on ART, history of suicidal attempts, history of
alcohol abuse.
Data
collection procedures- Prior permissions were taken from
relevant institutions before the beginning of the data collection procedure.
The study participants were identified during the study period at the ART
centre, District Government Hospital, Bagalkot. Every
HIV infected person who fulfilled the inclusion criteria was approached for
data collection. Consent was obtained by the interviewers before participants
underwent the structured interview, which lasted approximately 20 to 30
minutes. All the information collected
was based on the patient's self-report, but the information related to CD4
count and clinical staging were obtained from the medical records.
Inclusion
Criteria- The study includes the People living with HIV/AIDS:
ü Who
is with a current diagnosis of HIV/AIDS
ü Who
is aged between 18- 50 years and who can read and write Kannada/ English
ü Who
is on ART and whose CD4 count has been done during the last month
Exclusion
criteria- The study excludes the People living with HIV/AIDS:
ü Who
is suffering from severe illness and unable to provide data
ü Who
is not on ART within the last 3 months and who is not willing to give written
consent
Statistical
Analysis- Data analyses were performed using SPSS v25.
Descriptive univariate statistics such as frequencies
and percentages were used for categorical variables and means (M) and standard
deviations (SD) were used for continuous variables. Associations between Hope
and QOL were assessed using Pearson’s correlation coefficients. Multiple
regression models were used to find the significant predictors of Hope and QOL.
All significance levels reported are two-sided.
Ethical
consideration- The study was approved by the
Institutional Ethical Clearance Committee and permission was taken from the
Karnataka State AIDS Prevention Society, Bangalore. Informed consent was
obtained from each participant.
RESULTS
Description
of Sample in terms of their socio-demographic and clinical characteristics- Table
1 depicts that the maximum score of Hope among PLHIV is 90, and the minimum
score is 34. The mean and SD of Hope score is 67.01 (SD= 14.044). The result
shows that the maximum score of QoL among PLHIV is
144, and the minimum score is 52. The mean and SD of the QoL
score is 109.68 (SD= 14.11).
Table
1: Socio-demographic and clinical
characteristics of PLHIV (N=430)
S. No. |
Variables |
Mean |
SD |
1 |
Age (Years) |
40.42 |
11.228 |
2 |
Family monthly income |
8081.63 |
6594.524 |
3 |
CD4 count |
564.90 |
308.465 |
4 |
Duration of HIV infection (Years) |
7.09 |
4.263 |
5 |
Duration of ART treatment (Years) |
6.18 |
3.736 |
6 |
Sex |
||
|
Male |
137 |
31.8 |
|
Female |
293 |
68.0 |
7 |
Religion |
||
|
Hindu |
401 |
93.0 |
|
Muslim |
27 |
6.3 |
|
Christian |
2 |
0.5 |
8 |
Educational status |
||
|
Up to 7th standard |
348 |
80.93 |
|
Secondary education |
56 |
13.02 |
|
Pre-university education |
18 |
4.18 |
|
Graduation |
7 |
1.62 |
|
Post graduation& above |
1 |
0.2 |
9 |
Marital Status |
||
|
Married |
347 |
80.5 |
|
Unmarried |
36 |
8.4 |
|
Widow/Widower |
38 |
8.8 |
|
Separated |
9 |
2.1 |
10 |
Having children |
||
|
Yes |
363 |
84.4 |
|
No |
67 |
15.6 |
11 |
Occupation |
||
|
Unemployed |
13 |
3.0 |
|
Housewife |
77 |
17.9 |
|
Labour work |
251 |
58.2 |
|
Agriculture |
28 |
6.5 |
|
Driver |
11 |
2.6 |
|
Business |
16 |
3.7 |
|
Private employee |
22 |
5.1 |
|
Govt. Employee |
9 |
2.1 |
12 |
Type of family |
||
|
Joint |
166 |
38.5 |
|
Nuclear |
264 |
61.3 |
13 |
Area of residence |
||
|
Rural |
353 |
81.9 |
|
Urban |
77 |
17.9 |
14 |
Family history of HIV* |
||
|
Husband HIV positive |
184 |
42.7 |
|
Wife HIV positive |
22 |
5.1 |
|
Parents HIV positive |
10 |
2.3 |
|
Child/children HIV positive |
4 |
0.9 |
|
No family history |
209 |
48.5 |
15 |
Mode of Transmission |
||
|
Heterosexual |
209 |
48.5 |
|
Blood transfusion/ Needle prick |
8 |
1.9 |
|
Homosexual |
2 |
0.5 |
|
Unknown |
208 |
48.3 |
16 |
Clinical Staging |
||
|
Stage I |
273 |
63.3 |
|
Stage II |
143 |
33.2 |
|
Stage III |
13 |
3.0 |
|
Stage IV |
1 |
0.2 |
17 |
History of suicidal attempts |
||
|
Yes |
34 |
7.9 |
|
No |
396 |
91.9 |
18 |
History of alcohol abuse |
||
|
Yes |
28 |
6.5 |
|
No |
402 |
93.3 |
M=
Mean, SD= Standard deviation, N= Number of PLHIV, %= Percentage of PLHIV, ART=
Antiretroviral treatment, PLHIV= People living with HIV/AIDS
Since the
population was not normally distributed with respect to both Hope score
(Shapiro- Wilk value= 0.96, p<0.05) and Quality of
life score (Shapiro- Wilk value= 0.98, p<0.05). Non-parametric test i.e.
Spearman's Rank order test was used to find the correlation between Hope and
Quality of life. Findings reveal that there exists a significant positive
correlation between Hope and Quality of life scores (r=0.0483, p<0.01) (Table 2).
Table
2: Correlation
between Hope and Quality of life Scores of PLHIV (N=430)
Correlation
between Hope and Quality of life |
|
Spearman’s
Rho |
0.483** |
**p<0.01
Multiple
linear regression analysis- Socio-demographic and
clinical characteristics of PLHIV were entered into the multiple linear
regression models as independent variables with Hope and Quality of Life as
dependent variables.
The multiple
linear regression carried out to find the determinants (Predictors) of hope
among PLHIV revealed a significant regression equation (F429, 42= 1.842,
R2=0.167, p<0.01).
Married status i.e. married (t= 2.113, p<0.05)
and Occupation i.e. being Coolie or doing Labour work
(t= 2.310, p<0.05) has positively predicted the hope of PLHIV. Third
clinical stage (t= -2.433, p<0.05)
and Fourth clinical stage (t= -2.211, p<0.05)
have negatively predicted Hope of PLHIV (Table 3).
Table
3: Multiple
linear regression model of Hope of PLHIV (N=430)
S.No |
Determinants
(Predictors) |
Standardized
Coefficients ( β) |
t
value |
P-value |
1 |
Married |
0.336 |
2.113 |
0.035* |
2 |
Cooli |
0.238 |
2.310 |
0.021* |
3 |
HIV Stage 3 |
-0.122 |
-2.433 |
0.015* |
4 |
HIV Stage 4 |
-0.108 |
-2.211 |
0.028* |
*p<0.05
The Multiple
Linear Regression carried out to find the determinants (predictors) of Quality
of life among PLHIV revealed a Non-significant regression equation (F429,
42= 1.37, R2=0.13, p<0.05). Being private Employee, (t= 2.099, p<0.05) had positively predicted
Quality of life among PLHIV. Heterosexual
(t= -1.985, p<0.05) had a negatively
predicted Quality of life among PLHIV (Table 4).
Table
4: Multiple
linear regression model of quality of life of PLHIV (N=430)
S.
No |
Determinants
(Predictors) |
Standardized
Coefficients ( β) |
T-value |
P-value |
1 |
Private
Employee |
0.138 |
2.099 |
0.036* |
2 |
Heterosexual |
-0.457 |
-1.985 |
0.048* |
*p<0.05
DISCUSSION-
This cross-sectional study included a sample
of 430 PLHIV attending the ART centre, District Government Hospital, Bagalkot to assess the Hope & QoL
of PLHIV and its predictors. Most of the PLHIV (68.0%) were
females. This study is consistent and supported by Huang et al. [14] in China. Similar findings were observed
where most of the PLHIV (65%) were Females. This study was supported
by Shriharsha and Rentela [15]
at Bagalkot, where most of the PLHIV (64.7%) were
females. This study is supported by Jonas
et al. [16] in South Africa,
where most of the PLHIV (74%) were females. The majority (93.0%) of PLHIV was
belonging to the Hindu religion. This study is consistent and supported by Shriharsha and Rentela [17]
at Bagalkot, where the majority of PLHIV (76%) were
Hindu.[17] Most (80.93%) of
PLHIV were educated Up to 7th standard. Results revealed that most
of them (80.5%) PLHIV were married. This study is consistent and supported by
Charles et al. [18] at
Chennai, where most of the PLHIV (69%) were married. Findings
revealed that the majority of the PLHIV (81.9%) were from rural areas. This
study is consistent and supported with the study conducted by Somashekar and Vijaykumar [19]
Results show that 36% of people are from rural areas.
This study is
consistent and supported with the study conducted by Weldsilase
et al.
[20] in Southwest Ethiopia. Results show that 54.7% of people are
from rural areas findings revealed that the mean and SD of Hope score is 67.01±14.04. This is consistent
with that found in many other Indian studies. Findings revealed that the
majority of the PLHIV 73.1% had
Good Quality of life. This is consistent and supported with the study conducted
by Nyamathi et al.
[21].
The
results showed that low QOL score; on a scale from 0 to 3, the mean QOL score
was 0.38 (SD=0.30).
Findings reveal
that there exists a significant positive correlation between Hope and Quality
of life scores (r=0.0483, p<0.01).
The findings are consistent and
supported with the study conducted by Fang et al.
[22]. The results showed that resilience mediating the associations between life stress
and physical, emotional, and functional/global well-being among PLHIV.
Assessment of levels of QoL among PLHIV reveals that the majority of PLHIV (73.1%) had good QoL.
The findings of the present study are
consistent and supported with the study conducted by Ossei-Yeboah
et al.
[23]. The result showed that 79.75% of PLHIV had good QoL.
The findings of the present study are consistent with the study
conducted by Yadav [24] in Nepal. The
results showed that a positive correlation exists between hope and quality of
life. A significant regression equation (F429,42= 1.842, R2=0.167,
p<0.01). Married status i.e. married, Occupation i.e. doing Labor work
has positively and 3rd and 4th clinical-stage have
negatively predicted Hope of PLHIV. A Non significant regression equation (F429,42=1.37,R2=0.13,
p<0.05).
A Non
significant regression equation (F429,42=1.37, R2=0.13, p<0.05). Being private
Employee had positively and Heterosexual had negatively predicted and remained
determinants have not predicted QoL among PLHIV. There was a significant association
found between marital status and remained variables that are not associated with
Hope. There was a significant negative relationship found between Family
monthly income and a positive relationship found between duration of HIV and QoL. Marital status is significantly associated with QoL.
The findings
of the present study are consistent with the study conducted
by Wani and Sankar [25]
in Jammu and Kashmir, India. The results showed that two demographical
variables gender and marital status are negatively significant correlated with
social support and quality of life. There was a significant
association found between marital status and remained variables that are not
associated with Hope. There was a significant negative relationship found
between Family monthly income and a positive relationship found between the
duration of HIV and QoL. Marital status is
significantly associated with QoL.
CONCLUSIONS-
Hope
and QoL of People living with HIV/AIDS have been
affected by several variables. Efforts should be made for comprehensive
treatment of PLHIV to enhance their Hope quality of life, especially by primary
care providers.
Intervention can
be provided to improve the Hope and Quality of life among PLHIV. As the Hope
improves the Quality of life strategies can be implemented to inculcate hope in
PLHIV that in turn improves the Quality of life among PLHIV and presents a
study basis for future experimental studies.
CONTRIBUTION
OF AUTHORS
Research
concept- Kavita
Patil, Dr. Shriharsha C
Research
design- Kavita Patil, Dr. Shriharsha C
Supervision-
Dr. Shriharsha C, Dr. Deelip
S Natekar.
Materials-
Kavita Patil
Data
collection- Kavita Patil
Data
analysis and interpretation- Kavita
Patil, Dr. Shriharsha C
Literature
search- Kavita
Patil
Writing
article- Kavita Patil
Critical
review- Dr. Shriharsha C, Dr. Deelip S Natekar
Article
editing- Kavita
Patil, Dr. Shriharsha C
Final
approval- Dr. Shriharsha C, Dr. Deelip S Natekar
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