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Abstract

Introduction

Quality of life (QoL) is a vital healthcare indicator among people living with human immunodeficiency virus (PLWHA). Assessing the effects of comorbidities on QoL among PLWHA is of clinical and public health importance. This study compared the QoL of comorbid and non-comorbid PLWHA at St. Gerard’s Catholic Hospital (SGCH), Kaduna.

Methods

This was a prospective cross-sectional study of 178 conveniently selected and stratified comorbid PLWHA and 172 non-comorbid PLWHA receiving care at the facility. Data was collected using a structured, interviewer-administered instrument. The QoL scores were statistically compared using the Mann‒Whitney U test. P<0.05 was considered statistically significant for all the analyses.

Results

Most respondents were aged 35 – 54 years (65.2% and 66.4% for comorbid and non-comorbid patients respectively), were female (70.8% and 69.2% for comorbid and non-comorbid patients respectively) and married (67.4% and 59.3% for comorbid and non-comorbid patients respectively). For all QoL domains (perception of QoL and general health, physical health, psychological health, level of independence, social relationship, environment, and spirituality/religion/personal beliefs), there was evidence the distribution of values was significantly lower in the comorbid PLWHA compared to the non-comorbid PLWHA (p<0.001), with the largest difference seen for physical health. The mean physical health (interquartile range) was 9 (7-10) and 17 (15-19) for comorbid and non-comorbid PLWHA respectively. The most prevalent comorbidities among the PLWHA were hypertension 97 (54.49%) and diabetes 36 (20.22%).

Conclusion

Non-comorbid PLWHA had better QoL than comorbid PLWHA in all the QoL domains and the greatest difference was observed in physical health. Special efforts should be made to improve the QoL of comorbid PLWHA.

Keywords

HIV/AIDS quality of life comorbidity NCDs Nigeria

Background

Human immunodeficiency virus (HIV) is a chronic disease that affects all human races; however, recent developments in its treatment have led to remarkable outcomes.¹ Globally, HIV is the second-largest epidemic, with 37.7 million people living with it as of the year 2020. Approximately 39% of new cases are found in sub-Saharan Africa each year. In comparison, the prevalence of HIV in Nigeria is currently estimated at 1.4% and ranks fourth in the world in terms of HIV burden.² The prevalence of HIV in Kaduna State ranges between 1.1% and 1.4%.³ The high prevalence of HIV in this region may pose substantial health challenges in the community, which may aggravate the presence of comorbidities.

Comorbidity in HIV has been defined as “a disease outside the scope of an acquired immunodeficiency syndrome-associated (AIDS-defining) illness”.⁴ The comorbidities among people living with HIV/AIDS (PLWHA) include hypertension, diabetes mellitus, and hepatitis B, among others. Some of these comorbidities occur as a result of HIV infection, i.e., vascular and renal diseases, associated risk factors, potential coinfections (hepatitis C), or even antiretroviral toxicity (diabetes and liver disease).^5-7 The risk of these comorbidities increases with increasing HIV severity.⁴ The presence of comorbidities among PLWHA has been reported to impact their quality of care, quality of life (QoL), prognosis and cost of care, among other factors. In addition, it is considered one of the major causes of death and disability among this population of patients.⁸

It is predicted that comorbidity with noncommunicable diseases (NCDs) will increase in developing countries, including Nigeria.⁹ The patient needs associated with the increase in comorbidities can potentially overwhelm the fragile healthcare systems in these countries. Additionally, the funding of HIV/AIDS programs in these countries, which is primarily through international donor interventions without considering NCDs, has been noted: “would only end up in preventing death from HIV, but not death of the patients”.¹⁰

In Nigeria, PLWHA continually receive suitable HIV care, treatment, and services. Notably, they have life expectancies almost similar to those of people living without HIV.¹¹ However, PLWHA with comorbidities have considerably lower QoL than non-comorbid PLWHA and the general population.^12,13 QoL is a vital healthcare indicator among people living with chronic diseases, including HIV, and its measurement is important given the increasing incidence of NCDs in developing countries.¹¹

Therefore, comorbidities among PLWHA are not only of clinical importance but also critical public health concerns.¹⁴ Thus, understanding their prevalence in developing countries is a priority for policy and practice.

Studies on QoL, particularly in Nigeria have often focused on HIV or comorbidities alone, thereby leaving a gap in understanding how comorbidities affect QoL of PLWHA compared to non-comorbid PLWHA.^11,15-18 Thus, to address this gap, this study aimed to compare the QoL between comorbid and non-comorbid PLWHA and assess the prevalence of comorbid conditions among PLWHA at St. Gerard's Catholic Hospital (SGCH), Kaduna. This study is relevant for the formulation of policies that adequately address the emerging needs of PLWHA and accompanying comorbidities so that present care services can be improved by healthcare administrators and stakeholders.

Methods

Study setting

Kaduna is one of the most cosmopolitan states in Nigeria; it harbours people from all parts of the country and is easily accessible from all the geopolitical zones of the country. The study was conducted at the ART Clinic of SGCH, Kaduna, located in Kaduna South Local Government Area of Kaduna State, northwestern Nigeria. Despite being a faith-based secondary healthcare facility, it caters to the healthcare needs of people within the Kaduna metropolis and neighbouring communities, irrespective of religious belief, ethnicity, and socioeconomic or educational status. It also serves as a referral centre for different primary healthcare facilities in Kaduna South. The ART Clinic was established in 2006 and provides comprehensive HIV services, including diagnosis, counselling, treatment and prevention of HIV.¹⁵ It operates outpatient clinics Mondays through Fridays and serves a population of 3,874 PLWHA.

Study population and eligibility criteria

All PLWHA who were at least 18 years of age, were accessing HIV care at the facility, consented to participate in the study and completed the questionnaire were included, with or without comorbidities. However, those who did not meet these criteria were excluded from participation in the study.

Study design

This prospective, cross-sectional study involved a sample of PLWHA attending the ART clinic of SGCH during the study period.

Description of the study instrument

The data collection instrument for this study was the World Health Organization Quality of Life assessment instrument (WHOQOL-BREF), which was developed and validated by the WHOQOL Group and is available in different languages.¹⁹ The WHOQOL-HIV BREF instrument comprises 26 items that measure the following six broad domains: physical health, psychological health, social relationships, level of independence, spirituality and the environment. It assesses individuals’ perceptions in the context of their culture and value systems and their personal goals, standards and concerns.²⁰ For this study, sociodemographic information and the presence of comorbidities were also added. The instrument has been validated in Nigeria and has reported Cronbach's alpha values ranging from 0.70 to 0.90 for various domains, which indicates excellent internal consistency.²¹

Sample size determination

A sample size of 350 was determined using the Raosoft online sample size calculator available online at https://www.raosoft.com/samplesize.html.²² The calculation was performed with a 5% margin of error, 95% confidence level, a response distribution of 50% and a population size of 3,874 PLWHA attending the facility based on the hospital records.

Sampling technique

PLWHA who consented to participate in the study were stratified into comorbid and non-comorbid sampling frames to avoid selection bias. A convenient sampling technique was subsequently used to select the required number of patients from the two strata.

Data collection

Data from PLWHA who met the eligibility criteria and provided consent were collected using the WHOQOL-HIV BREF questionnaire. Through the supervision of the principal researcher, trained research assistants administered the questionnaire from May 2023 through October 2023. Data on comorbidities were collected from the respondent’s medical records.

Data analysis

The data collected were analysed and categorized into domains as described by the originator of the tool, WHOQOL. The WHOQOL-HIV-BREF scores for both groups were not normally distributed (Shapiro‒Wilk test, p < 0.05); therefore, a statistical comparison of the median scores of the QoL domains among the comorbid and non-comorbid PLWHA was conducted using the Mann‒Whitney U test. The Mann‒Whitney U test, interquartile range and effect size, rank-biserial correlation (r), were computed to explore the potential association between comorbidities and QoL. The effect size ranges from -1 to 1 in magnitude, and the higher the value is, the larger the size of the effect. A positive (+) or negative (-) sign indicates the direction of the difference, in which the positive values indicate that the comorbid group tends to have higher ranks, while negative values indicate the non-comorbid group has higher ranks. Generally, r>0.5 or r<-0.5 indicates a large effect, in other words, a large difference in the distributions of the two groups. A 2-tailed asymptotic p ≤ 0.05 was considered statistically significant for all the analyses. The results were expressed descriptively in tabular form. All analyses were performed using Statistical Package for Social Sciences (SPSS) version 26.

Ethics

Ethical approval was granted by the Health Research and Ethics Committee of SGCH, Kaduna (approval no. SGCH/NHREC/11/04/2023). All participants provided informed written consent prior to their participation in the study.

Results

The majority of the participants (34.6%) were in the 35–44 years age group, followed by the 45–54 years age group (31.1%). The youngest age group (18–24 years) accounted for 7.1% of the participants, whereas the oldest age group (>65 years) made up 4.3% of the sample. The sample was predominantly female (70.0%). Most of the participants (63.4%) were married, 18.3% were single, and 18.3% were separated or divorced. The majority of the participants (85.7%) were Christians, 10.0% were Muslims, and 4.3% followed other religious beliefs. The highest level of education attained by the participants was secondary school (37.1%), followed by primary school (46.6%). A small proportion had tertiary-level education (1.1%), 14.3% had no formal education, and 0.9% had informal education. Approximately 43.7% of the participants had a monthly income below the minimum wage (₦30,000), 38.6% earned the minimum wage, and 17.7% had an income above the minimum wage. Almost 51% of the sample had comorbidities, 50.86%, with other diseases in addition to HIV (Table 1).

Table 1.

Sociodemographic information of the patients enrolled in the study, n = 350.

Sociodemographic variable	Number	Percentage (%)
Age (years)
18 – 24	25	7.1
25 – 34	24	6.9
35 – 44	121	34.6
45 – 54	109	31.1
55 – 64	56	16.0
>65	15	4.3
Gender
Male	105	30.0
Female	245	70.0
Marital status
Single	64	18.3
Married	222	63.4
Separate	64	18.3
Religion
Islam	35	10.0
Christianity	300	85.7
Others	15	4.3
Highest level of education
None	50	14.3
Primary school	163	46.6
Secondary school	130	37.1
Tertiary level	4	1.1
Informal education	3	0.9
Average monthly income
Below minimum wage (₦30,000)	153	43.7
Minimum wage (₦30,000)	135	38.6
Above minimum wage (₦30,000)	62	17.7
Presence of comorbidity
Yes	178	50.86
No	172	49.14

Most of the respondents in both groups were within the age of 35 – 54 years which accounts for 65.2% and 66.4% for comorbid and non-comorbid patients respectively. Most respondents in both categories of PLWHA were females [comorbid 126 (70.8%) and non-comorbid 119 (69.2%)] and Christians [comorbid 150 (84.3%) and non-comorbid 150 (87.2%)]. The majority of them were married; 120 (67.4%) comorbid respondents and 102 (59.3%) non-comorbid respondents and only 1 (0.6%) and 3 (1.7%) of the comorbid and non-comorbid respondents, respectively, attended tertiary education.

Similarly, 73 (43.7%) and 80 (46.5%) comorbid and non-comorbid respondents, respectively, had an income below the minimum wage (<₦30,000). Most of the respondents had been living with HIV for more than a decade; 95 (53.4%) were comorbid, and 100 (58.1%) were non-comorbid. Only 12 (6.7%) and 7 (4.1%) of the comorbid and non-comorbid respondents, respectively, visited the clinic more than seven times in a year. Age, sex, marital status, highest level of education, income and spousal HIV status were statistically associated with the presence of comorbidity. Other sociodemographic information and the level of statistical association with the presence of comorbidity are presented in Table 2.

Table 2.

Statistical associations between the sociodemographic variables of comorbid and non-comorbid PLWHA receiving care at SGCH, Kaduna (n=350).

	Number of patients, n (%)			P value
Sociodemographic variable	Comorbid	Non-comorbid	Total	P value
Age (years)
18 – 24	9(5.1)	16(9.3)	25(7.1)	.008
25 – 34	7(3.9)	17(9.9)	24(6.9)
35 – 44	56(31.5)	65(37.8)	121(34.6)
45 – 54	60(33.7)	49(28.5)	109(31.1)
55 – 64	34(19.1)	22(12.8)	56(16.0)
>65	12(6.7)	3(1.7)	15(4.3)
Total, n (%)	178(100)	172(100)	350(100)
Gender
Male	52(29.2)	53(30.8)	105(30.0)	.417
Female	126(70.8)	119(69.2)	245(70.0)
Total, n (%)	178(100)	172(100)	350(100)
Marital status
Single	22(12.4)	42(24.2)	64(18.3)	.014
Married	120(67.4)	102(59.3)	222(63.4)
Separate	36(56.3)	28(43.8)	64(18.3)
Total, n (%)	178(100)	172(100)	350(100)
Religion
Islam	22(12.4)	13(7.6)	35(10.0)	.245
Christianity	150(84.3)	150(87.2)	300(85.7)
Others	6(3.4)	9(5.2)	15(4.3)
Total, n (%)	178(100)	172(100)	350(100)
Highest level of education
None	39(21.9)	11(6.4)	50(14.3)	.001
Primary school	80(44.9)	83(48.3)	163(46.6)
Secondary school	56(31.5)	74(43.0)	130(37.1)
Tertiary level	1(0.6)	3(1.7)	4(1.1)
Informal education	2(1.1)	1(0.6)	3(0.9)
Total, n (%)	178(100)	172(100)	350(100)
Average monthly income
Below minimum wage (₦30,000)	73(43.7)	80(46.5)	153(43.7)	.001
Minimum wage (₦30,000)	58(32.6)	77(44.8)	135(38.6)
Above minimum wage (₦30,000)	47(26.4)	15(8.7)	62(17.7)
Total, n (%)	178(100)	172(100)	350(100)
Duration of HIV since diagnosis
<1 year	2(1.1)	8(4.7)	10(2.9)	.123
1 – 5 years	29(16.3)	25(14.5)	54(15.4)
6 – 10 years	52(29.2)	39(22.7)	91(26.0)
>10 years	95(53.4)	100(58.1)	195(55.7)
Total, n (%)	178(100)	172(100)	350(100)
Spousal HIV status
Positive	111 (62.4)	76(44.2)	187(53.4)	.008
Negative	37 (20.8)	57(33.1)	94(26.9)
I don’t know	13(7.3)	16(9.3)	29(8.3)
I am not married	17(9.6)	23(13.4)	40(11.4)
Total, n (%)	178(100)	172(100)	350(100)
Frequency of clinic visits in a year
1 – 2	40 (22.5)	43(25.0)	83(23.7)	.524
3 – 4	103(57.9)	105(61.0)	208(59.4)
5 – 6	23(12.9)	17(9.9)	40(11.4)
>7	12(6.7)	7(4.1)	19(5.4)
Total, n (%)	178(100)	172(100)	350(100)

P values were assessed using the Chi-square test, and p values <0.05 were considered statistically significant.

For all QoL domains, the distribution of values was significantly lower in the comorbid PLWHA compared to the non-comorbid PLWHA (p<0.001) and had a large effect size (r>0.5). Medians, IQRs and Mann-Whitney U test results exploring potential differences in the distribution of values between groups are displayed in Table 3.

Table 3.

Comparison of quality-of-life domains between comorbid and non-comorbid PLWHA receiving care at SGCH, Kaduna (n=350) using the Mann‒Whitney U test.

	Comorbid PLWHA, n=178		Non-comorbid PLWHA, n=172
Quality of life domain	Median score	25 - 75% IQR	Median score	25 - 75% IQR	U	Effect size, r	P - value
Overall perception of QoL and general health	6.00	6.00 – 12.00	16.00	16.00 – 18.00	2114.00	-0.756	0.0001
Physical health	9.00	7.00 – 10.00	17.00	15.00 – 19.00	593.50	-0.833	0.0001
Psychological health	10.40	7.20 – 12.80	16.00	14.40 – 16.80	1614.50	-0.775	0.0001
Level of independence	10.00	8.00 – 13.00	16.00	15.00 – 17.00	1917.00	-0.759	0.0001
Social relationship	13.00	7.00 – 15.00	16.00	15.00 – 17.00	6167.50	-0.519	0.0001
Environment	10.00	7.00 – 11.50	15.00	13.50 – 16.50	1768.50	-0.766	0.0001
Spirituality/Religion/Personal beliefs	10.00	8.00 – 13.00	17.00	15.00 – 19.00	3260.00	-0.683	0.0001

P values were expressed as 2-tailed asymptotic values and p < 0.05 were considered statistically significant, where U represents the Mann‒Whitney U test, IQR represents the interquartile range, and the negative (-) sign on “r” indicates that median scores for non-comorbid patients are higher than the corresponding values for comorbid patients.

The most prevalent comorbidities among the respondents were hypertension 97 (54.49%) and diabetes 36 (20.22), as shown in Table 4.

Table 4.

Comorbidities observed among comorbid PLWHA receiving care at SGCH, Kaduna (n=178).

Comorbidity, N=178	Frequency, n (%)
Diabetes mellitus	36(20.2)
Hypercholesterolemia	3(1.7)
Hypertension	97(54.5)
Rheumatoid arthritis	10(5.6)
Gout	1(0.6)
Mania and depression	1(0.6)
Insomnia	2(1.1)
Anxiety	4(2.2)
Chronic hepatitis B/C	2(1.1)
Hypertension + Hypercholesterolemia	1(0.6)
PUD	13(7.3)
Seizure+DM+Rheumatoid Arthritis	1(0.6)
Pyelonephritis	1(0.6)
HTN+ Rheumatoid Arthritis	1(0.6)
HTN+PUD	1(0.6)
Anxiety+Mania	1(0.6)
HTN+Insomnia+Anxiety	1(0.6)
Insomina+HBV	2(1.1)

HTN = hypertension, PUD = peptic ulcer disease, HBV = hepatitis B virus, DM = diabetes mellitus

Discussion

Most respondents in both categories were females. In addition to females having a high prevalence of HIV in Nigeria, possibly because of early sexual debut, they do readily present themselves for studies, likely because of their unemployed status, as they are not required to fend for the family in the study setting, they have the luxury of time to participate in a study.^16,23 The high number of Christians in both categories of respondents might not be unrelated to the fact that the facility is a Christian faith-based hospital.

Only a few of the respondents had a tertiary education, with the majority having a primary education. This is lower than the findings reported in Zaria, Kaduna State, and could be attributed to poor socioeconomic level, low literacy level in the study environment and possibly because the facility is a secondary healthcare hospital; those possessing tertiary education might prefer to receive their care from tertiary facilities where experts are in abundance or utilize the differentiated service delivery model.^17,24

Age and education are statistically associated with the presence of comorbidity because, with advancing age, one becomes more susceptible to being diagnosed with a chronic disease.¹⁷ Those with higher education levels could have less chronic disease than those without education or with only primary education. Education can be associated with compliance with advice on a healthy lifestyle, thereby reducing the propensity of one being affected by a chronic disease.¹⁸ Similarly, those with a lower income do not have the financial ability to live a healthy lifestyle, properly manage stress and meet basic needs of life. Therefore, they are at risk of developing a chronic disease. Those with a higher income can afford to modify the risk factors for chronic disease and, as such, are less vulnerable to developing a chronic disease.²⁵

Our findings revealed that non-comorbid respondents had a higher distribution of scores in all the QoL domains compared to comorbid respondents and a statistically significant association between the presence of comorbidity and low QoL was observed. The difference could be due to the burden of severe symptoms associated with chronic diseases, which impairs QoL.²⁶ The presence of two or more chronic diseases negatively affects the QoL of PLWHA.^13,27 Similarly, the effect of comorbidity on the QoL of PLWHA depends on the severity of their symptoms.²⁸ Chronic diseases were found to reduce QoL among PLWHA, particularly by diminishing their physical QoL.²⁹ This plausibly explains why the difference in the physical domain of the QoL among the two categories in this study was greater than that in the other domains and why it also had the lowest scores in the comorbid PLWHA.

In this study, the domain with the highest median score among comorbid PLWHA was social relationships, followed by psychological health, level of independence, environment and spirituality/religion/personal beliefs. In contrast, the non-comorbid PLHWHA had the highest median score on the physical health and spirituality/religion/personal beliefs domains. Findings from a similar study in Jordan reported that the respondents had better QoL scores in the spirituality/religion/personal beliefs domain, psychological health domain and physical health domain.³⁰ The scores of non-comorbid PLWHA partly mirrored the findings from North Central Nigeria, where the respondents had high scores in the psychological, physical and spiritual domains.³¹ The high scores observed in social relationships reflect the emotional, financial and safety support that families, especially spouses, offer to their HIV-positive partners living with comorbidities, as married persons enjoy high social support.¹¹ Similarly, non-discrimination, no stigmatization, wide acceptance in the community and the availability of social support may also be responsible for the improved score of the social relationship domain.^32,33 The role of social support in improving QoL, as reported by Mengistu and colleagues, was also observed in this study.³⁴

Although religion was found to improve the QoL of PLWHA in Southeast Nigeria, the high score in the spiritual domain of comorbid PLWHA could be explained by the perception that people are more religious and spiritual when challenged with problems beyond their capacity.^35,36 This may also indicate a good perception of religion because, in a similar study in Jordan, the respondents recognized the role of spirituality in improving QoL and supported the integration of spiritual support in HIV/AIDS care, even though this integration was not obtainable in this study’s setting.³⁰

The results indicate that non-comorbid PLWHA had a significantly higher distribution of scores across all QoL domains than comorbid PLWHA, with large effect sizes observed for all domains. These findings suggest that the presence of comorbidities has a substantial negative impact on the QoL of these patients, which may affect their treatment outcomes. Furthermore, the significant differences across all QoL domains emphasize the need for integrated care approaches that address both HIV and comorbid conditions.

The study revealed hypertension, diabetes and rheumatoid arthritis as the most prevalent comorbidities among PLWHA. This is in sharp contrast to a study in New York City, which reported chronic pulmonary diseases and renal disease as the most prevalent conditions among PLWHA.³⁷ In the United Kingdom, hepatitis, mental health disorders and cardiovascular disease are the most prevalent comorbidities.⁴ In developing countries, cardiovascular diseases occur in more than one-third of PLWHA attending clinics.³⁸ Obimakinde and colleagues reported hypertension, arthritis and tuberculosis as common comorbidities in southwestern Nigeria.¹⁷ This could be due to variations in the study setting and the sample population included in the studies.³⁸

A higher prevalence of comorbidities among PLWHA was reported in Ethiopia.³⁹ The low prevalence of hypertension, diabetes mellitus and other comorbidities among the respondents might be due to the small number of doctors attending to the patients, as there were only two doctors in the facility. The acute shortage of doctors could result in missed diagnoses coupled with the language barrier between the doctors and the patients. While only patients with complaints during clinic visits are attended to by the doctors, patients fail to recognize symptoms of chronic diseases due to low literacy levels, which may lead to poor health-seeking behaviour and patients' refusal to report symptoms and denial of the diagnosis of a comorbid condition due to pill burden and the financial burden associated with the management of chronic diseases. These are not far-fetched considering the poverty in the area and the number of pills taken for HIV and opportunistic infections despite the availability of fixed-dose combinations and the dispensing of free antiretroviral medicines to patients, many lack health insurance.^40-42

Recognizing the prevalent comorbidities and their associations with poorer QoL among PLWHA highlights the importance of prioritizing chronic disease management in the provision of care and services for such people. The insights gained should therefore facilitate the design of efficient, effective and tailored interventions to prevent and manage comorbidities among PLWHA while also improving their QoL, especially that of comorbid PLWHA. Future research should focus on developing targeted interventions that increase the overall well-being of comorbid HIV patients, thereby improving their QoL and overall well-being.

The presence of comorbidities among PLWHA often leads to a decreased QoL, which may lead to increased healthcare costs and resource utilization. This will assist policymakers in adopting integrated care models that address both HIV and other chronic conditions simultaneously. In addition, this ensures that healthcare resources are distributed based on the complexity of patient needs.^43,44

Limitations and strengths of the study

A convenience sampling method was used in this study, which may introduce selection bias and limit the generalizability of the findings to a wider population sample of PLWHA. While the sample size of 350 is arguably adequate for statistical analysis, it might nevertheless not be large enough to fully capture the full diversity of PLWHA, especially those with rare comorbid conditions. The cross-sectional nature of this study may restrict our ability to infer causality between comorbidities and QoL in these patients. Additionally, the use of self-reported data for QoL assessments may lead to response bias, as participants either overreported or underreported their QoL due to social desirability. Confounding variables such as adherence to antiretroviral therapy and nutritional status were not accounted for in this study, which could influence QoL outcomes. Even though the WHOQOL-HIV BREF instrument has excellent validity in Nigeria, cultural differences can still exist and influence how participants interpret and respond to QoL questions, which may affect the validity of the results.

Despite these limitations, our study has the following strengths. Though the cross-sectional nature of the study provides only snapshots of differences in QoL between comorbid and non-comorbid PLWHA at specific times, as a prospective study, it reduces recall bias and provides more accurate data as events occur. In addition, the WHOQOL-HIV BREF questionnaire, a well-validated instrument for measuring QoL among PLWHA was used. This instrument assesses several domains of QoL and therefore offers a global perspective on the participants' overall health. The study also contributes to the broader understanding of how comorbidities impact the QoL of PLWHA in a Nigerian context.

Conclusion

The study revealed that non-comorbid PLWHA had better QoL than did comorbid PLWHA in all aspects of the QoL domains, and the greatest difference was observed in physical health. A higher median score of QoL domains among comorbid PLWHA was observed in social relationships, spirituality/religion/personal beliefs and overall perceptions of QoL and general health domains, whereas physical health had the lowest score. Among the non-comorbid PLWHA, the highest median score reported was in the physical health, psychological health and independence domains, and the lowest score was in the social relationship domain. Hypertension, diabetes mellitus and rheumatoid arthritis are the most common comorbidities observed in the facility. We therefore recommend the integration of chronic disease management into HIV/AIDS care, and special efforts should be made to improve the QoL of comorbid PLWHA.

Footnotes

Acknowledgements

We would like to thank the research assistants who conducted the data collection of the study.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iDs

Dalhatu Muhammad Ahmad

Shuaibu Aliyu

References

Deeks

Lewin

Havlir

. The end of AIDS: HIV infection as a chronic disease. The Lancet [Internet]. 2013;382(9903):1525–1533. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058441/

UNAIDS . Joint United Nations Programme on HIV/AIDS (UNAIDS) DATA [Internet]. 2021 [cited 2024 Feb 12]. Available from: https://www.unaids.org/sites/defaults/files/media_assest/JC3032AIDSDatabook2021En.pdf

UNAIDS . Joint United Nations Programme on HIV/AIDS (UNAIDS) DATA [Internet]. 2021 [cited 2024 Feb 12]. Available from: https://www.unaids.org/en/resources/presscentre/pressreleaseandstatementarchive/2019/march/20190314nigeria

Lorenc

Ananthavarathan

Lorigan

Banarsee

Jowata

Brook

. The prevalence of comorbidities among people living with HIV in Brent: a diverse London Borough. London Journal of Primary Care. 2014;6(4):84–90.

Valderas

Starfield

Sibbald

Salisbury

Roland

. Defining Comorbidity: Implications for Understanding Health and Health Services. The Annals of Family Medicine [Internet]. 2009;7(4):357–363. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713155/

Goulet

Fultz

Rimland

Butt

Gibert

Rodriguez-Barradas

, et al.

Aging and infectious diseases: Do Patterns of Comorbidity Vary by HIV Status, Age, and HIV Severity?

Clinical Infectious Diseases. 2007;45(12):1593–1601.

Turner

Bansi

Gilson

Gazzard

Walsh

Pillay

, et al. The prevalence of hepatitis C virus (HCV) infection in HIV-positive individuals in the UK - trends in HCV testing and the impact of HCV on HIV treatment outcomes. Journal of Viral Hepatitis. 2009;17(8):569–577.

Armstrong

Charland

. Burden of illness of hepatitis C from a managed care organization perspective. Current Medical Research and Opinion. 2004;20(5):671–679.

Islam

SMS

Purnat

Phuong

NTA

Mwingira

Schacht

Fröschl

. Non-Communicable Diseases (NCDs) in developing countries: a symposium report. Globalization and Health [Internet]. 2014;10(1). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267750/

10.

Emanuel

. PEPFAR and Maximizing the Effects of Global Health Assistance. JAMA. 2012;307(19).

11.

Laura Onyekonwu

Chinyelu Onyeka

Chidimma Brenda

Nkemdilim Ijoma

Nneka Unaogu

Obinwanne Onwuekwe

, et al. Chronic HIV infection and health related quality of life in resource poor settings-an assessment from South East Nigeria. African Health Sciences. 2020;20(1):102–113.

12.

Miners

Phillips

Kreif

Rodger

Speakman

Fisher

, et al. Health-related quality-of-life of people with HIV in the era of combination antiretroviral treatment: a cross-sectional comparison with the general population. The lancet HIV [Internet]. 2014;1(1):e32-40. Available from: https://pubmed.ncbi.nlm.nih.gov/26423814/

13.

Mills

Bakanda

Birungi

Chan

Ford

Cooper

, et al. Life Expectancy of Persons Receiving Combination Antiretroviral Therapy in Low-Income Countries: A Cohort Analysis From Uganda. Annals of Internal Medicine. 2011;155(4):209.

14.

Narayan

KMV

Ali

del Rio

Koplan

Curran

. Global Noncommunicable Diseases — Lessons from the HIV–AIDS Experience. New England Journal of Medicine. 2011;365(10):876–878.

15.

Bolakale

Taju

Olubukola

. Suicidality among HIV patients in a treatment center in Kaduna metropolis, Nigeria. Sahel Medical Journal. 2016;19(4):196.

16.

Suleiman

Yahaya

Olaniyan

Sule

Sufiyan

. Determinants of health-related quality of life among human immunodeficiency virus positive (HIV-positive) patients at Ahmadu Bello University teaching hospital, Zaria, Nigeria- 2015. BMC Public Health. 2020;20(1).

17.

Obimakinde

Adebusoye

Achenbach

Ogunniyi

Olaleye

. Going Beyond Giving Antiretroviral Therapy: Multimorbidity in Older People Aging with HIV in Nigeria. AIDS Research and Human Retroviruses. 2020;36(3):180–185.

18.

Nkporbu

Ojule

Stanley

. Correlation of Socio-Demographic and Clinical Factors with Quality of Life (QOL) Among Subjects Living with HIV in Port Harcourt, Nigeria. Archives of Infectious Diseases & Therapy. 2019;3(2).

19.

The Whoqol Group . The World Health Organization quality of life assessment (WHOQOL): Development and general psychometric properties. Social Science & Medicine. 1998;46(12):1569–1585.

20.

World Health Organization . WHOQOL-HIV Instrument: Scoring and coding for the WHOQOL-HIV instruments [Internet]. World Health Organization; 2012 [cited 2024 Feb 12]. Available from: https://www.who.int/publications/i/item/WHO-MSD-MER-Rev-2012-03

21.

Ohaeri

Olusola

. The WHOQOL-HIV BREF: A psychometric evaluation of the quality of life in HIV-infected patients in Nigeria. Quality of Life Research. 2006;15(5):803–811.

22.

Raosoft . Sample Size Calculator by Raosoft, Inc [Internet]. 2023 [cited 2024 Feb 12]. Available from: https://www.raosoft.com/samplesize.html

23.

Federal Republic of Nigeria Global AIDS Response Country Progress Report [Internet]. 2014 [cited 2024 Feb 12]. Available from: https://www.unaids.org/sites/default/files/country/documents/NGAnarrativereport2014.pdf

24.

Sanwo

Persaud

Nwaokoro

Idemudia

Akpan

Toyo

, et al. Differentiated service delivery models among PLHIV in Akwa Ibom and Cross River States, Nigeria during the COVID‐19 pandemic: descriptive analysis of programmatic data. Journal of the International AIDS Society. 2021;24(S6).

25.

Sommer

Griebler

Mahlknecht

Thaler

Bouskill

Gartlehner

, et al. Socioeconomic inequalities in non-communicable diseases and their risk factors: an overview of systematic reviews. BMC Public Health. 2015 Sep 18;15(1).

26.

Yoah

Nicholas

Nkem

Niji

Sidvezem

Peter

, et al. Impact of Non-Communicable Diseases on The Quality of Life of HIV Patients on Antiretroviral Therapy in Fako Division. Advance Research in Sciences. 2023 Jun 28;1(2):1–5.

27.

Deribew

Tesfaye

Hailmichael

Negussu

Daba

Wogi

, et al. Tuberculosis and HIV co-infection: its impact on quality of life. Health and Quality of Life Outcomes. 2009 Dec;7(1).

28.

Banda

Mwale

Chimwala

Malimusi

Chisati

. Common impairments and functional limitations of HIV sequelae that require physiotherapy rehabilitation in the medical wards at Queen Elizabeth Central Hospital, Malawi: A cross sectional study. Malawi Medical Journal. 2019;31(3):171–176.

29.

Gillis

Cooper

Rourke

Rueda

O’Brien

Collins

, et al. Impact of hepatitis B and C co-infection on health-related quality of life in HIV positive individuals. Quality of Life Research. 2012;22(7):1525–1535.

30.

Algaralleh

Altwalbeh

Al-Tarawneh

. Health-Related Quality of Life Among Persons Living with HIV/AIDS in Jordan: An Exploratory Study. HIV/AIDS - Research and Palliative Care. 2020;Volume 12:897–907.

31.

Fatiregun

Mofolorunsho

Osagbemi

. Quality of Life of People Living with HIV/AIDS in Kogi State, Nigeria. Benin Journal of Postgraduate Medicine. 2009;11(1).

32.

Liu

Weber

Robison

Jacobson

Gange

. Assessing the effect of HAART on change in quality of life among HIV-infected women. Aids Research and Therapy. 2006;3(1).

33.

Moyo

Sigwadhi

Carries

Mkhwanazi

Bhana

Bruno

, et al. Health-related quality of life among people living with HIV in the era of universal test and treat: results from a cross-sectional study in KwaZulu-Natal, South Africa. 2024.

34.

Mengistu

Hareru

Shumye

Yimer

Sisay

Kaso

, et al. Health related quality of life and its association with social support among people living with HIV/AIDS receiving antiretroviral therapy in Ethiopia: a systematic review and meta-analysis. Health and Quality of Life Outcomes. 2022;20(1).

35.

Amadi

Odinka

Obiechina

Ofoefuna

Chukwu

Aguocha

. Improving the Quality of Life of People Living with HIV/AIDS: A Cross-Sectional Study of the Role of Religion. Nigerian Journal of Clinical Practice. 2023;26(5):574–580.

36.

Folasire

Irabor

Folasire

. Quality of life of People living with HIV and AIDS attending the Antiretroviral Clinic, University College Hospital, Nigeria. African Journal of Primary Health Care & Family Medicine. 2012;4(1).

37.

Rowell-Cunsolo

Bellerose

Liu

. Trends in Comorbidities Among Human Immunodeficiency Virus–Infected Hospital Admissions in New York City from 2006–2016. Clinical Infectious Diseases [Internet]. 2020 Nov 27 [cited 2024 Feb 1];73(7):e1957–e1963. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678437/

38.

Tilahun

NiH

Brian

Setswe

Elliott

Nanayakkara

. Epidemiology of comorbidity of HIV/AIDS and non-communicable diseases in developing countries: a systematic review. Journal of Global Health Care Systems. 2012;2(1):1–12.

39.

Woldesemayat

. Chronic Diseases Multimorbidity among Adult People Living with HIV at Hawassa University Comprehensive Specialized Hospital, Southern Ethiopia. International Journal of Chronic Diseases. 2020:1–9.

40.

Van Duin

Conde

Wijnen

Evers

Gonzalez-Rodriguez

Govers

, et al. The impact of comorbidities on costs, utilities and health-related quality of life among HIV patients in a clinical setting in Bogotá. Expert Review of Pharmacoeconomics & Outcomes Research. 2016;17(3):303–310.

41.

Ahmad

Abonyi

Chukwudi Ugwuonah

Okon

Aliyu

Uzairue

, Lucero-Prisno III, DE. HIV Patients’ Satisfaction with Pharmaceutical Care at a Nigerian Tertiary Healthcare Facility During the Covid-19 Pandemic. Journal of the International Association of Providers of AIDS Care (JIAPAC). 2023;22:232595822311590.

42.

Ahmad

Lucero-Prisno

III DE

. The new National Health Insurance Act of Nigeria: How it will insure the poor and ensure universal health coverage. Population Medicine. 2022;4(December):1–2.

43.

Taiwo

Romdhani

Lafeuille

Bhojwani

Milbers

Donga

. Treatment and comorbidity burden among people living with HIV: a review of systematic literature reviews. Journal of drug assessment. 2022;12(1):1–11.

44.

Youle

Trueman

Simpson

. Health Economics in HIV Disease. Pharmacoeconomics. 1999;15(Supplement 1):1–12.

Comparison of the quality of life of comorbid and non-comorbid people living with HIV/AIDS in a Nigerian secondary healthcare facility

Abstract

Introduction

Methods

Results

Conclusion

Keywords

Background

Methods

Study setting

Study population and eligibility criteria

Study design

Description of the study instrument

Sample size determination

Sampling technique

Data collection

Data analysis

Ethics

Results

Discussion

Limitations and strengths of the study

Conclusion

Footnotes

Acknowledgements

Declaration of conflicting interests

Funding

ORCID iDs

References