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ORIGINAL ARTICLE  
Year : 2019  |  Volume : 44  |  Issue : 2  |  Page : 118-124
 

World Health Organization dimensions of adherence to antiretroviral therapy: A study at antiretroviral therapy centre, Aligarh


1 Department of Community Medicine, Jawaharlal Nehru Medical College and Hospital, Aligarh Muslim University, Aligarh, Uttar Pradesh, India
2 Department of Medicine, Jawaharlal Nehru Medical College and Hospital, Aligarh Muslim University; Nodal Officer, ART Centre, Aligarh, Uttar Pradesh, India

Date of Submission03-Jun-2018
Date of Acceptance05-Mar-2019
Date of Web Publication27-Jun-2019

Correspondence Address:
Dr. Yasir Alvi
172, Panchwati, Airport Road, Nayapura, Bhopal, Madhya Pradesh
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijcm.IJCM_164_18

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   Abstract 


Introduction: With the availability of antiretroviral therapy (ART) and subsequent change in the HIV/AIDS disease dynamic to a chronic manageable disease, adherence studies have received increasing attention. However, there is a paucity of studies that have considered World Health Organization (WHO) dimensions of adherence to ART. Therefore, this study was conducted with the objectives of determining the prevalence of adherence and the association of various factors across five WHO dimensions to adherence. Methods: A cross-sectional study was carried out at the ART Centre, Aligarh. A total of 440 adult patients, taking treatment from the ART Centre, Aligarh were selected. A self-reported instrument of missing pills was used to measure adherence. Various factors across five WHO dimensions were studied. Results: Prevalence of adherence in our study was 81.3%. Among the five dimensions of adherence, distance from home (odds ratio [OR] 0.980; 95% confidence interval [CI] 0.964–0.997) among socioeconomic determinants, frequent adherence counseling (OR 8.737; 95% CI 4.076–18.727) among health system-related, drug regimen (OR 2.202; 95% CI 1.023–4.738) and absence of side effects (OR 3.293; 95% CI 1.473–7.365) among therapy related, absence of substance abuse (OR 2.747; 95% CI 1.209–6.243), and perceived change in health status (OR 4.196; 95% CI 1.613–10.915) among patient-related dimension were found to be significantly associated with adherence to ART, while clinical condition dimension did not play a significant role. Conclusion: The ART adherence rate is still below satisfactory levels for long-term viral load suppression. WHO multidimensional approach – which was found to be quite relevant in our study setting – could be applied to effectively solve the adherence problem in our country.


Keywords: Adherence, antiretroviral therapy, HIV, patient compliance


How to cite this article:
Alvi Y, Khalique N, Ahmad A, Khan HS, Faizi N. World Health Organization dimensions of adherence to antiretroviral therapy: A study at antiretroviral therapy centre, Aligarh. Indian J Community Med 2019;44:118-24

How to cite this URL:
Alvi Y, Khalique N, Ahmad A, Khan HS, Faizi N. World Health Organization dimensions of adherence to antiretroviral therapy: A study at antiretroviral therapy centre, Aligarh. Indian J Community Med [serial online] 2019 [cited 2019 Jul 23];44:118-24. Available from: http://www.ijcm.org.in/text.asp?2019/44/2/118/261502





   Introduction Top


The Joint United Nations Programme on HIV and AIDS (UNAIDS) aim of “Ending the AIDS” epidemic by 2030 cannot be accomplished without the due care, support, and treatment of 2.12 million people living with HIV (PLHA) in India.[1] With new infection falling to half since 2001, India's progress in curbing the epidemic is laudable, especially when compared to neighboring countries like Pakistan, where it grew eightfold during the same time period.[1],[2] Establishment of antiretroviral therapy (ART) Centre as a service delivery point providing free ART, played a pivotal role in controlling the deadly infection and reducing it to a chronic manageable disease. To obtain maximum benefits, as with other chronic diseases, a good compliance in the form of optimal adherence (at least 95%) has to be maintained.[3],[4] The consequences of poor adherence to treatment often leads to poor health outcomes and increased healthcare costs and also contributes to antimicrobial resistance.[3]

Contrary to popular perception that patients are the main source of the “problem of compliance,” the current understanding acknowledges that a systems' approach is needed to understand the phenomenon. The World Health Organization (WHO) has made a significant contribution to the understanding of adherence by asserting adherence as a multidimensional phenomenon governed by the interplay of five sets of factors, also known as “dimensions.”[3] These five dimensions include socioeconomic factors, patient-related factors, clinical condition-related factors, therapy-related factors, and healthcare system-related factors [Figure 1]. Across these dimensions, there are multiple factors which may vary among different populations/settings and could be used to design specific policies that can improve adherence in the national and local context.[3] Despite the advantages of these dimensions in terms of its systematic approach, to the best of our knowledge, there has not been a substantial study that has attempted to measure them from India and other developing countries. Therefore, this study was conducted with two objectives: (1) To determine the prevalence of adherence among ART patients and (2) To find the association of various factors across the five WHO dimensions affecting adherence.
Figure 1: Five dimensions of adherence to antiretroviral therapy

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   Methods Top


Study setting and population

This was a cross-sectional study, conducted over a period of 12 months, from July 2015 to June 2016. All adult (>18 years) HIV/AIDS-infected patients, taking ART from ART centre, Jawaharlal Nehru Medical College, Aligarh, were eligible for the study. The exclusion criteria were (1) patients who have taken ART for <6 months, (2) patients on 2nd line ART, (3) patients suffering from any acute medical condition during the study, and (4) any psychiatric condition owing to which a patient could not give valid consent.

Sampling

The sample size was calculated using the formula, n = 4p (1 − p)/d2, wherepstood as the prevalence and d as the absolute precision (taken as 10%). Based on WHO rigorous reviews, which found adherence to average at 50%,[3] the sample size came out to be 400. However, presuming a nonresponse rate of 10%, we planned to recruit 440 patients. Preparing the sampling frame from the list of the patients reporting to ART centre on the day of data collection (done thrice a week), we performed systematic random sampling for selecting the sample population. After taking into account the daily average attendances at ART centre, the sampling interval was calculated to be 10. The first number was chosen randomly, after which every tenth patient in the sampling frame was selected for data collection. If the selected patient was not eligible for this study or had been interviewed earlier, the next patient from the sampling frame was taken for the interview without disturbing the list of patients.

Study instruments

The data were collected by face-to-face interview using a predesigned and pretested questionnaire administered in local language. All the interviews were conducted by same interviewer. The determinants of adherence were analyzed across the five dimensions of adherence as given by WHO, adapted with minor modifications [Figure 1]. For measuring adherence, we used a self-reported instrument of missing pills, modified from Adult AIDS Control Trial Group questionnaire to assess adherence over the last 30 days.[5] Self-report tools have been extensively used internationally as well as in the Indian setup in the past.[6],[7],[8],[9],[10] The data we obtained through self-reporting were further verified by pill-count, to increase the accuracy of the assessment. Patients were considered “Adherent” if they reported to have taken 95% or more of prescribed pills, while those who reported taking <95% of prescribed pills were labeled as “nonadherent” in accordance with National AIDS Control Organization (NACO) guidelines.[4] Depression was measured by the Hindi version of Patient Health Questionnaire-9 which has been validated for Indian settings.[11] Socioeconomic status was measured by Modified B G Prasad's classification.[12]

Statistics analysis

The data were entered and analyzed in IBM SPSS version 20 (SPSS Inc., Armonk, NY).[13] The categorical variables and proportions were represented by a percentage (%) along with 95% confidence interval (CI) that was calculated by Agresti-Coull methord.[14] Association between various factors and adherence was done by logistic regression, and all those variables which were significant were further analyzed using multiple logistic regression, through “enter” method. Probability (p) was kept at 5% level of significance.

Ethics

As the study involved HIV/AIDS patients, utmost importance was given to ethics. Before its commencement, the study was approved by Institutional Ethics and Research Advisory Committee, JN Medical College, AMU, Aligarh. An informed written consent was taken from each selected participant to confirm willingness. The actual study was preceded by an individual rapport building session, where the purpose of the study and its implications were explained. The participants were assured about their privacy and confidentiality. Appropriate health education, adequate counseling, and referral, whenever needed, were provided to all the patients after the interview.


   Results Top


During the study period, 440 patients were enrolled. Out of them, six patients were unable to complete the interview; therefore, 434 patients were analyzed finally. Reasons for nonparticipation were withdrawal of consent before completing the interview (n = 3), citing time constraints (n = 2), and noncooperation (n = 1).

Sociodemographic and clinical characteristics

A total of 434 patients (262 males, 170 females, and 2 transgenders) were interviewed during the study period. The mean age of the sampled population was 39.02 ± 9.82 years. Majority of them were married (65.4%), of a nuclear family (62.7%), Hindu (88.9%) by religion, and lived in a rural area (73.7%). Only 67.8% patients were literate, whereas only 66.8% of the study population were employed. About two-third belonged to lower socioeconomic Class (IV and V, Mod. BG Prasad). Majority of the participants were asymptomatic (Stage I WHO staging) with a mean CD4 cell count of 384.57 ± 179.54 cu. mm. In the previous 30 days, 81 (18.7%) patients gave history of substance abuse and 70 (16.1%) patients suffered from depression. Most of the participants were taking a fixed-dose combination either of Tenofovir, Lamivudine, and Efavirenz (50.9%) or Zidovudine, Lamivudine, and Efavirenz (45.2%). Side effects from antiretrovirals were reported by 18.7% of the participants during previous 30 days. The majority (388/434) of the patients perceived benefit from the ART.

Adherence to antiretroviral therapy

The prevalence of adherence to ART among the study participants during the last 30 days was found to be 81.3% (353/434) (95% CI 77.4–84.7). Among nonadherents (81/434), the majority (72.8%) had missed only a few pills, while 5.1% reported having taken less than half of their prescribed drug [Table 1].
Table 1: Distribution of patients attending antiretroviral therapy center on the basis of pattern of adherence

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Five dimensions of adherence

To study the factors associated with adherence to ART, first, an unadjusted odds ratio (OR) for selected socioeconomic, patients' related, clinical condition-related, therapy related and healthcare system-related factors [Figure 1] were calculated. In univariate analysis, the adherence to ART was significantly associated with factors across all the five WHO dimensions of adherence as shown in [Table 2].
Table 2: Univariate analysis of various factors among five dimensions affecting adherence to antiretroviral therapy

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All the factors that were significant in univariate analysis were further analyzed by multiple logistic regression. Distance from home (OR 0.980; 95% CI 0.964–0.997) among socioeconomic dimension; frequent adherence counseling (OR 8.737; 95% CI 4.076– 18.727) among health system-related; non-Efavirenz-based drug regimen (OR 2.202; 95% CI 1.023–4.738) and absence of side effects (OR 3.293; 95% CI 1.473–7.365) among therapy related; and absence of substance abuse (OR 2.747; 95% CI 1.209–6.243) and perceived change in health status (OR 4.196; 95% CI 1.613–10.915) among patient-related dimension were found to be significantly associated with adherence to ART [Table 3].
Table 3: Multivariate analysis of various factors among five dimensions affecting adherence to antiretroviral therapy

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   Discussion Top


The purpose of the study was to determine the prevalence of adherence to ART and factors affecting it across the five dimensions. The prevalence of adherence to ART in our study population was found to be 81.3%. Among the five dimensions of adherence, we found socioeconomic, health system-related, therapy-related, and patient-related dimensions to be significantly affecting adherence, while clinical condition dimension was found to play less of a role.

As far as the prevalence of adherence to ART is concerned, a similar prevalence was reported in Central India (89.1%) and West Bengal (87%).[6],[15] A multicentric study among the Indian population found a pooled adherence of 75.5%.[16] Studies from other part of Asia also reported similar findings.[17],[18] Although most of these studies are in line with our study findings, some Indian studies have also reported higher rates of adherence, ranging from 90% to 93%.[9],[19] Further comparison with these studies is difficult due to the differences in instruments used for assessing adherence, together with other methodological, settings-related, and clinical differences.

Among the socioeconomic dimension of adherence, we found the greater the distance patients have to travel, the higher the chance for nonadherence to the treatment. The association of distance to ART centre and adherence has been documented from different parts of the world[20],[21],[22] although some studies failed to demonstrate this association.[15],[18],[23] Apart from the distance, none of socioeconomic factors were found to be significantly associated – which is in concordance with the various studies done in India, as most of these studies were done in similar centers getting free ART from NACO.[8],[15],[23],[24] Among the therapy-related dimension, we found nonadherence to be significantly associated with (a) Drug-related side effect and (b) Efavirenz-combined therapy. This supports the findings of previous studies.[16],[21],[25],[26] The side effects to drug are known and proven determinant of adherence to chronic therapy.[3] The patients taking Efavirenz-combined therapy were twice more nonadherent to their treatment as compared to those who were taking other drug combinations. This could be due to the Efavirenz-associated side effects, although the association of adherence and Efavirenz was significant even after adjusting for side effects. Therefore, a regular screening and management of side effects is vital to ensure good compliance.

Counseling of patients emphasizing on adherence was the strongest determinant of adherence, which was the part of health system-related dimension. Apart from history of ever being counseled, months since the last counseling session attended was also significantly associated with adherence to ART. The importance of a regular counseling has been stressed by many researchers as this established trust, boosts confidence, motivates the patients, and strengthens the patient–provider relationship.[8],[15],[16] In addition, regular counceling session also provides an opportunity to screen and manage side effect of drugs - another significant factor associated with adherence in our study. Therefore, we believe that a strong, effective, and regular counseling of ART patients could significantly improve the adherence of ART, as others have also suggested.[27] Among the patient-related factors dimension, we found that those patients who gave the history of substance abuse in last 6 months had about three times higher chances of nonadherence to ART. Substance abuse has been labeled as one of the stronger predictors of nonadherence to ART by WHO and others.[3],[28] The patients who reported to have any perceived benefit from ART were about four times likely to be adherent to ART as compared to those who did not, replicating the findings of previous studies from India and internationally, though studies in eastern part of India by Saha et al., had differing results.[6],[15],[27],[29] However, Saha et al., measured adherence by different instrument – which has been questioned for overestimation of adherence.[6] We did not find any of the clinical condition-related factors having a significant effect on adherence. Varied results have been documented, with some demonstrating a significant effect of lower CD4 levels and presence of depression on adherence;[7],[9],[10],[15] others failed to show any relationship between disease characteristics and symptomatology with adherence.[21],[30]

Limitations

Our study also had a few limitations. First, it was a cross-sectional study done in a hospital setting, restricting its generality, though most of the patients of HIV/AIDS in India avail treatment from these ART centers only. Second, we refrain from making any causal claims because of the study design, as the temporality cannot be ascertained. Third, selection bias may have occurred as we interviewed only the patients who reported to ART centre. Furthermore, by excluding patients who have taken <6 months of treatment, we may exclude a lot of patients, although they are unlikely to be a chronically managed patient, in which WHO dimensions of adherence are applicable.


   Conclusion Top


We conclude that adherence to ART in a low-middle income country like India is still below than the satisfactory levels for long-term viral load suppression. We also conclude that the WHO multidimensional approach to study adherence is especially relevant to developing countries, with significant relationship between adherence and many of these factors. Finally, given the importance of counselling, increasing its frequency and incorporating it with screening for side-effects, adherence for ART can be improved.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
   References Top

1.
National AIDS Control Organization, National Institute of Medical Statistics. Annual Report 2016-17. New Delhi: National AIDS Control Organization, National Institute of Medical Statistics; 2017.  Back to cited text no. 1
    
2.
UNAIDS. Pakistan's President Affirms Commitment to Increase HIV Efforts. UNAIDS 2014. Available from: http://www.unaids.org/en/resources/presscentre/featurestories/2014/april/20140430pakistan/. [Last accessed on 2017 July 31].  Back to cited text no. 2
    
3.
Sabaté E. Adherence to Long-term Therapies – Evidence for Action. Geneva: World Health Organization; 2003.  Back to cited text no. 3
    
4.
NACO, National Institute of Medical Statistics. Antiretroviral Therapy Guidelines for HIV-Infected Adults and Adolescents Including Post-Exposure Prophylaxis. New Delhi: NACO, National Institute of Medical Statistics; 2007.  Back to cited text no. 4
    
5.
Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B, et al. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: The AACTG adherence instruments. Patient Care Committee & Adherence Working Group of the Outcomes Committee of the Adult AIDS Clinical Trials Group (AACTG). AIDS Care 2000;12:255-66.  Back to cited text no. 5
    
6.
Saha R, Saha I, Sarkar AP, Das DK, Misra R, Bhattacharya K, et al. Adherence to highly active antiretroviral therapy in a tertiary care hospital in West Bengal, India. Singapore Med J 2014;55:92-8.  Back to cited text no. 6
    
7.
Sinha S, Bhattacharya M, Adhish SV. A cross-sectional study on adherence to anti-retrovirals among HIV/AIDS patients in Delhi under the national ART programme. Health and population–Perspectives and Issues 2011;34:87-106.  Back to cited text no. 7
    
8.
Lal V, Kant S, Dewan R, Rai SK, Biswas A. A two-site hospital-based study on factors associated with nonadherence to highly active antiretroviral therapy. Indian J Public Health 2010;54:179-83.  Back to cited text no. 8
[PUBMED]  [Full text]  
9.
Sarna A, Pujari S, Sengar AK, Garg R, Gupta I, Dam JV. Adherence to antiretroviral therapy & its determinants amongst HIV patients in India. Indian J Med Res 2008;127:28-36.  Back to cited text no. 9
[PUBMED]  [Full text]  
10.
Shah B, Walshe L, Saple DG, Mehta SH, Ramnani JP, Kharkar RD, et al. Adherence to antiretroviral therapy and virologic suppression among HIV-infected persons receiving care in private clinics in Mumbai, India. Clin Infect Dis 2007;44:1235-44.  Back to cited text no. 10
    
11.
Kochhar PH, Rajadhyaksha SS, Suvarna VR. Translation and validation of brief patient health questionnaire against DSM IV as a tool to diagnose major depressive disorder in Indian patients. J Postgrad Med 2007;53:102-7.  Back to cited text no. 11
[PUBMED]  [Full text]  
12.
Vasudevan J, Mishra AK, Singh Z. An update on Prasad's BG socioeconomic scale: May 2016. Int J Res Med Sci 2016;44:4183-6.  Back to cited text no. 12
    
13.
IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp. 2011.  Back to cited text no. 13
    
14.
Epi Tools – Epidemiological Calculator: Calculate Confidence Limits for a Sample Proportion N.D. Available from: http://www.epitools.ausvet.com.au/content.php?page=CIProportion. [Last accessed on 2017 Nov 09].  Back to cited text no. 14
    
15.
Shukla M, Agarwal M, Singh JV, Tripathi AK, Srivastava AK, Singh VK, et al. Nonadherence to antiretroviral therapy among people living with HIV/AIDS attending two tertiary care hospitals in district of Northern India. Indian J Community Med 2016;41:55-61.  Back to cited text no. 15
[PUBMED]  [Full text]  
16.
Joshi B, Chauhan S, Pasi A, Kulkarni R, Sunil N, Bachani D. Level of suboptimal adherence to first line antiretroviral treatment & its determinants among HIV positive people in India. Indian J Med Res 2014;140:84-95.  Back to cited text no. 16
[PUBMED]  [Full text]  
17.
Wang H, He G, Li X, Yang A, Chen X, Fennie KP, et al. Self-reported adherence to antiretroviral treatment among HIV-infected people in central China. AIDS Patient Care STDS 2008;22:71-80.  Back to cited text no. 17
    
18.
Weaver ER, Pane M, Wandra T, Windiyaningsih C, Herlina, Samaan G. Factors that influence adherence to antiretroviral treatment in an urban population, Jakarta, Indonesia. PLoS One 2014;9:e107543.  Back to cited text no. 18
    
19.
George C, Yesoda A, Jayakumar B, Lal L. A prospective study evaluating clinical outcomes and costs of three NNRTI-based HAART regimens in Kerala, India. J Clin Pharm Ther 2009;34:33-40.  Back to cited text no. 19
    
20.
Mills EJ, Nachega JB, Bangsberg DR, Singh S, Rachlis B, Wu P, et al. Adherence to HAART: A systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med 2006;3:e438.  Back to cited text no. 20
    
21.
Shigdel R, Klouman E, Bhandari A, Ahmed LA. Factors associated with adherence to antiretroviral therapy in HIV-infected patients in Kathmandu district, Nepal. HIV AIDS (Auckl) 2014;6:109-16.  Back to cited text no. 21
    
22.
Arage G, Tessema GA, Kassa H. Adherence to antiretroviral therapy and its associated factors among children at South Wollo Zone Hospitals, Northeast Ethiopia: A cross-sectional study. BMC Public Health 2014;14:365.  Back to cited text no. 22
    
23.
Cauldbeck MB, O'Connor C, O'Connor MB, Saunders JA, Rao B, Mallesh VG, et al. Adherence to anti-retroviral therapy among HIV patients in Bangalore, India. AIDS Res Ther 2009;6:7.  Back to cited text no. 23
    
24.
Pahari S, Roy S, Mandal A, Kuila S, Panda S. Adherence to anti-retroviral therapy and factors associated with it: A community based cross-sectional study from West Bengal, India. Indian J Med Res 2015;142:301.  Back to cited text no. 24
[PUBMED]  [Full text]  
25.
Surilena S, Valeri J. Knowledge of HIV-AIDS a dominant factor of antiretroviral therapeutic adherence in women with HIV-AIDS. Univ Med 2015;34:129-37.   Back to cited text no. 25
    
26.
Glass TR, De Geest S, Weber R, Vernazza PL, Rickenbach M, Furrer H, et al. Correlates of self-reported nonadherence to antiretroviral therapy in HIV-infected patients: The Swiss HIV cohort study. J Acquir Immune Defic Syndr 2006;41:385-92.  Back to cited text no. 26
    
27.
Obirikorang C, Selleh PK, Abledu JK, Fofie CO. Predictors of adherence to antiretroviral therapy among HIV/AIDS patients in the upper West Region of Ghana. ISRN AIDS 2013;2013:873939.  Back to cited text no. 27
    
28.
Poudel KC, Buchanan DR, Amiya RM, Poudel-Tandukar K. Perceived family support and antiretroviral adherence in HIV-positive individuals: Results from a community-based positive living with HIV study. Int Q Community Health Educ 2015;36:71-91.  Back to cited text no. 28
    
29.
Demessie R, Mekonnen A, Amogne W, Shibeshi W. Knowledge and adherence to antiretroviral therapy among adult people living with HIV/AIDS at tikur anbessa specialized hospital, Ethiopia. Int J Basic Clin Pharmacol 2014;3:320-30.  Back to cited text no. 29
    
30.
Shailesh P, Kantharia SL, Mamta V, Hitesh S, Pradeep G. A study to determine factors affecting the adherence to anti retroviral therapy (ART) among the patients attending ART center, New Civil Hospital Surat (NCHS), India. Int J Res Med 2015;4:1-7.  Back to cited text no. 30
    


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