American Journal of Nursing Science
Volume 5, Issue 5, October 2016, Pages: 169-174

 Case Report

Therapy and Health System-Related Factors Influencing Adherence to ART Treatment among HIV/AIDS Patients in Embu Teaching and Referral Hospital Comprehensive Care Clinic

Evangeline Kananu Njue Mugoh1, *, Ephantus Kabiru1, Joyce Mwaniki2

1Department of Community Health, Kenyatta University, Nairobi, Kenya

2Department of Plant Sciences, Kenyatta University, Nairobi, Kenya

Email address:

(E. K. N. Mugoh)
(E. Kabiru)
(J. Mwaniki)

*Corresponding author

To cite this article:

Evangeline Kananu Njue Mugoh, Ephantus Kabiru, Joyce Mwaniki. Therapy and Health System-Related Factors Influencing Adherence to ART Treatment Among HIV/AIDS Patients in Embu Teaching and Referral Hospital Comprehensive Care Clinic. American Journal of Nursing Science. Vol. 5, No. 5, 2016, pp. 169-174. doi: 10.11648/j.ajns.20160505.11

Received: July 26, 2016; Accepted: August 4, 2016; Published: August 21, 2016


Abstract: Adherence to antiretroviral therapy is a major predictor of the survival of individuals living with HIV/AIDS. Appropriate use of antiretroviral (ARV’s) has improved the health of many human immunodeficiency virus (HIV) positive individuals. The effectiveness of HIV treatment depends on sustenance of high levels of adherence to ARV; however, ARV regimens are often complicated and can be affected by varying dosing schedules, failing to have proper dietary requirements and patients developing adverse effects. The objective of this study was to determine therapy and health system related factors influencing adherence to Anti-retroviral drugs among adult HIV/ AIDS patients in Embu County Teaching and Referral Hospital Comprehensive Care Clinic. The study applied cross sectional descriptive design with stratified random sampling used to obtain relative proportion of male and female adult respondents in the sample population. 332 HIV positive patients were chosen from a total of 1694 patients who were active in ART for more than one year. A semi-structured interview schedules was used to obtain patients view on various dimension or ART services at the facility. ART adherence was at 48.2%. There was significant association between adherence to ART treatment and the type of drug a respondent was in with AZT, ddl, NFV having the highest proportion of sub-optimal adherence to treatment while respondents on D4T, 3TC, NVP had the lowest proportion of sub-optimal adherence to treatment. Convenience of the facilities for people with chronic ailments and waiting time at the facilities were reported to be good (73.0%) and excellent (75.3%) respectively.

Keywords: ART Adherence, Treatment-Related Factors, Health System Factors


1. Introduction

1.1. Background Information

More than 1.5 million people were infected with HIV in Kenya by the year 2005 but in the year 2012, 1.6 million people were living with HIV with a prevalence rate of 6.1% [1, 2]. Kenyan new HIV infections are estimated to have stabilized at an average of 89,000 among adults and about 11,000 among children annually. However progress has been made with HIV prevalence dropping from 10.5% in 1996 to 6.1% in 2012 although HIV continues to contribute the highest mortality rates, increase households burden and straining national health systems [2]. In the Kenya Aids Strategic Framework 2014/2015 – 2018/2019, Kenya aims at reducing new HIV infections by 75% and reduce AIDS related mortality by 25% in the next five years [3]. In addition, Kenya’s Vision 2030 aims at achieving comprehensive HIV prevention, treatment and care.

Of the 1.6 million PLHIV, 656,359 were on ART against estimated 902,302 in 2014 (141,608 children and 760,694 adults) PLHIV needing ART according to WHO 2009 guidelines [4] while according to the Kenya AIDs Indicator Survey 2014, 78.4% of adults and 42.5% of children eligible for ART coverage were receiving treatment as of year 2013 [5]. The low uptake in children was because of poor awareness on the part of parents and caregivers than non-availability of drugs. Despite this wide coverage there have been concerns with adherence to treatment [6, 7, 8].

1.2. Problem Statement

Non-adherence to ART may result in regimen failure, immune suppression, emergence of resistant viral strains, limited future treatment options and higher treatment costs [9]. In low-resource settings where ART access continues to increase, the implications of non-adherence are great, as few second line regimens are available to those who develop resistance and experience treatment failure [10]. Several studies in Kenya have documented varied levels of ART adherence ranging from 17% to 91% [6, 11, 7]. Embu County, as of 2014, had an HIV prevalence of 3.7% with 80.8% (3718 out of 4600) of adult PLHIV eligible for ART having access to treatment [12]. However there was no documented study on the influence of treatment and health system factors on adherence levels among HIV adult patients in Embu County Teaching and Referral Hospital. Therefore this study sought to explore therapy and health system related factors that influence adherence to ART among AIDS patients in Embu

1.3. Objectives

i.  To establish the effect of ART drugs and treatment of co-infections on adherence to ART treatment among AIDS patients.

ii.  To determine how health care facilities and health care providers influence adherence to ART among AIDS patients.

2. Literature Review

2.1. ART Therapy

Any levels of adherence below 95% have been associated with poor suppression of HIV viral load and a lowering of CD4 count leading to disease progression and development of drug resistance [13]. Evidence suggests that adherence greater than 95% is necessary to adequately suppress viral replication and produce a durable response and stop disease progression [14]. ART is a complex treatment that is characterized by pill burden, dietary, fluid restrictions and timing of medication intake. The complexity of drug regimens is one of the causes of non-adherence among patients; in addition, daily dosing regimens of taking drugs three times or more are associated with non-adherence [15]. According to a study by Curioso, et al [16], it was found that having a fixed routine and the use of reminder tools enhanced adherence to ART among patients. The pill burden is a major challenge since combination of ART is used and it often contains 2–20 pills that have to be taken in a day together with the other factors to be considered like timing of dosages and food requirements [17]. A study by Wakibi et al [7] found that 17% patients observed that ART therapy was disruptive in their life.

Although ART drugs have been provided free of charge since 2009 in Kenya, however, ART associated costs including prescription and diagnostic testing remain as cost barriers [7]. It is estimated that retention on ART treatment costing in Kenya consists 50% ART medications while 15% consists of non-ART medications and 15% consists of laboratory tests [18]. This shows that despite provision of free ART, patients have to foot more than 30% of the costs associated with adhering to treatment in addition to other costs such as transportation.

2.2. Interpersonal Relationships with Health Providers

Effective treatment relationships are characterized by an atmosphere in which alternative therapeutic means are explored, the regimen is negotiated, adherence is discussed, and follow-up is planned [19]. Cohesive partnerships and effective interpersonal communication make it possible for patients and physicians to work together to help patients follow mutually agreed-upon recommendations in addition to promoting greater patient satisfaction with medical care, which in turn fosters higher levels of adherence [20]. Positive and open relationships with their medical providers as an important adherence facilitator while also feeling comfortable to ask questions, talk about challenges, and feeling a part of decision making with one's medical provider play a key role in facilitating adherence. Achieving optimal adherence requires the commitment of both patient and provider, however, low quality of patient-provider relationship affects adherence to ART [21]. Lack of trust or dislike of a patient health care-provider, social isolation, negative publicity regarding HAART or the medical establishment, discouraging social network are impediment to ARV adherence [8].

3. Methodology

This was a descriptive cross sectional research that utilized quantitative research method of data collection and analysis conducted in Embu Teaching and Referral Hospital comprehensive care clinic among HIV adult that were active on ART for more than one year.A sample of 332 patients was used. Stratified sampling was used to sample patients. Data was collected using face-to-face interviews using structured questionnaires. Quality control measures were employed including pre-test, validity and reliability checks.

Authority to carry out the study was sought from NACOSTI. Approval to conduct research was sought from Kenyatta University Ethical Review Committee; and clearance from Embu Teaching and Referral Hospital and Embu County authorities. Respondents consented to participate with confirmation of confidentiality. Collected data was cross-checked for completeness and any missing entries corrected upon completion of each interview.

Data coding, entry and analysis was done using the SPSS version 20 software. The questionnaires were inspected to detect errors and omissions and corrected immediately. Data was analyzed using descriptives including frequencies and percentages and Chi-square tests for inferential. Findings were presented as text, graphs and tables.

4. Findings and Discussion

4.1. Adherence to ART Treatment

Both methods of evaluating adherence indicated that 160 patients had optimal adherence to treatment as shown in Table 1. However there were 11 patients which according to pill count had sub-optimal adherence to treatment while they evaluated themselves as having 100% adherence. And therefore because the pill-counts is considered the most 'objective' of the approach to assessing ART adherence, the 160 (48.2%) were considered to have had optimal ART adherence and the rest having sub-optimal adherence to ART. This was different from a study by Kidder et al [22] where in a much higher figure 84.6% of 30-days optimal adherence was reported in a longitudinal group-randomized trial in Kenya. A study done in Pumwani Hospital by Karanja [6] reported higher levels of adherence, where 91% of the respondents showed perfect adherence levels between 95 and 100% according to hospital records as opposed to this study in Embu comprehensive care clinic. Similar findings were made among HIV patients attending Moi Teaching and Referral Hospital where it was reported that the overall adherence levels based on timing of taking ARVs was low for all respondents 43.2%, clearly indicated that there were serious barriers to adherence [11]. A much lower adherence rate (17%) was observed in two public health facilities in Nairobi [7].

Table 1. Comparison between Self-report using visual analogue and Pill Count.

Self-report adherence in the last one month using visual analogue Adherence to ART treatment (pill count)
Sub-optimal Optimal
10 cm 11 160
9 cm 118 0
8 cm 31 0
<=7 cm 12 0

4.2. Influence of Quality of Treatment Services and ART Drugs on Adherence to ART

4.2.1. Quality of Treatment Services

The respondents reported excellent availability of ARV The respondents reported excellent availability of ARV services at the hospital/CCC (59.6%); good TB counseling (56.3%); excellent ART drugs counseling (56.0%); good nutritional counseling (52.7%) and excellent adherence counseling (59.3%) as shown in Table 2. This showed that there was sufficient availability of quality counseling and therefore not a hindrance to ART adherence. Various studies have documented that patient education and counseling facilitated medication adherence [10, 9, 23]. However it has been argued that availability of these counseling services in limited resource settings like Kenya is constrained by shortage of health workers which imply that the health workers are overworked hence cannot provide quality counseling [24]. A study in Ethiopia noted that some ART nurses did not have empathy and rushed when writing prescriptions, without addressing patients’ concerns about their treatment [9]. Similar findings were also made in Nairobi where it was reported that when counseling services were available at early intensive adherence counseling when a patient is being started on HAART, it resulted in a significant reduction in poor adherence and virologic failure [25].

Table 2. ART Services offered in the facility.

ART Services Excellent Good Average Poor
Overall availability of ARV services at the CCC 198 (59.6) 124 (37.3) 9 (2.7) 1 (0.3)
TB counselling 68 (20.5) 187 (56.3) 46 (13.9) 31 (9.3)
ART drugs counselling 186 (56.0) 113 (34) 30 (9) 3 (0.9)
Nutritional Counselling 115 (34.6) 175 (52.7) 40 (12) 2 (0.6)
Adherence counselling 197 (59.3) 109 (32.8) 24 (7.2) 2 (0.6)

4.2.2. Treatment of Co-infections

As indicated in Table 3, majority of the respondents did not know about the charges for dermatological, ENT, psychiatric treatment services. However, majority of those who knew about the existence of treatment of co-infection services considered that these services were offered at higher charges except for dermatological treatment services which were mostly considered free of charge. A study in Botswana showed that adherence was higher when cost was not an obstacle and poor patients were able to achieve excellent rates of adherence when they had access to free laboratory monitoring and subsidized ART [26]. Similar findings was also made in a study in Cameroon where it was observed that although ART drugs were provided free of charge, other related services were still funded by out-of-pocket payments hence a cause of non-adherence [27].

Table 3. Treatment of co-infections charges.

High Reasonable Low Don't know Free of charge
Dermatological treatment 75 (22.6) 13 (3.9) 9 (2.7) 148 (44.6) 87 (26.2)
ENT treatment 86 (25.9) 48 (14.5) 9 (2.7) 175 (52.7) 14 (4.2)
Ophthalmological treatment 119 (35.8) 104 (31.3) 17 (5.1) 79 (23.8) 13 (3.9)
Psychiatric treatment 96 (28.9) 72 (21.7) 17 (5.1) 141 (42.5) 6 (1.8)

4.2.3. Type of ART Drugs and Adherence

Respondents on Zidovudine (AZT), Didanosure (ddl), Nelfinavir (NFV) had the highest proportion of sub-optimal adherence to treatment 4 (80%) and the lowest proportion of optimal adherence 1 (20%) while respondents on Stavudine (D4T), Lamivudine (3TC), Efavirenz (EFV) had the highest proportion of optimal adherence 33 (66%) as shown in Figure 1. There was significant association (Chi-square p-value =.034) between adherence to ART treatment and the type of drug a respondent was in. This difference could be explained by the scheduling of different combination or the side effects associated with each combination [28]. different findings were reported in Ethiopia where relatively higher proportion of patients who missed ART was among the groups on D4T+3TC+EFV (18.2%) while 14.5% missed TDF-3TC-EFVand 12.5% missed AZT-3TC- NVP [29]. Similar findings were made in Southern Malawi where it was found out that although patients are currently being transferred from the old regimen (Tenofovir) to the new regimen (Efavirenz), side effects were still a common reason their patients reported missing medication doses [30].

Figure 1. Adherence by ART treatment.

As shown in Table 4, accessibility to the health facility was reported to be good by 167 (50.3%) of the respondents. Convenience of the facilities for people with chronic ailments was rated to be good by 154 (46.4%) respondents while the waiting time at the facilities was reported to be average by 128 (38.6%) respondents. The general state of the infrastructure at the health facility was rated to be good by 148 (44.6%) respondents, and general cleanliness was also rated to be good 161 (39.5%). However the privacy/confidentiality during examination at the facility/CCC was reported to be poor 105 (31.6%). These findings contradicted several other studies observed that distance to treatment centre is of great concern to PLHIV and one of the key factors preventing adherence [31, 32]. This was in contradiction with other studies done in Zimbabwe by Skovdal et al [33] and Biadgilign et al [34] in Ethiopia where waiting time and opening hours were found to be a hindrance to adherence to ARV treatment.

Table 4. Health care facilities rating.

Health care facilities rating Excellent Good Average Poor
Physical accessibility of facility 111 (33.4) 167 (50.3) 47 (14.2) 7 (2.1)
Waiting time at the facility 75 (22.6) 118 (35.5) 128 (38.6) 11 (3.3)
Convenience of facilities for people with chronic ailments 68 (20.5) 154 (46.4) 55 (16.6) 55 (16.5)
Privacy/confidentiality during examination at the facility/CCC 75 (22.6) 76 (22.9) 76 (22.9) 105 (31.6)
General state of the infrastructures 70 (21.1) 148 (44.6) 79 (23.8) 35 (10.5)
General cleanliness 161 (48.5) 131 (39.5) 39 (11.7) 1 (0.3)

4.2.4. Respondents’ Perception of Healthcare Workers

According to Table 5, it was revealed that accessibility to health personnel in the facility were reported to be excellent (52.6%) while quality of time spent by doctors addressing the respondent’s needs (76.8%) were reported as excellent and provision of health education was reported as good (55.1%). Similar findings were made by Karanja [6] where she observed that most of the Pumwani Hospital CCCs participants, 63% take less than an hour queuing before being attended by a health care provider during clinic appointments, 73% rated the services delivered at the clinic as good, and 99% indicated that they trust the health care providers. This finding also contradicts a study in India which indicated that up to a quarter of patients visited health centre and did not meet the counselors but just collected the drugs from pharmacy and left [35]. Similar findings were made in Zambia where HIV patients reported to have spent quality and right amount of time with healthcare workers [36]. A study in Ethiopia found out that dissatisfaction with healthcare services were major reasons for patients being non-adherent [9].

Table 5. Respondents’ Perception of Healthcare workers.

Healthcare workers rating Excellent Good Average Poor
Quality of time spent by doctors 255 (76.8) 59 (17.8) 13 (3.9) 5 (1.5)
Accessibility of health personnel 99 (29.9) 174 (52.6) 41 (12.4) 17 (5.1)
Provision of health education 183 (55.1) 122 (36.7) 23 (6.9) 4 (1.2)

5. Conclusions

1.  There was significant association between adherence to ART treatment and the type of drug a patient was taking with AZT, ddl, NFV having the highest proportion of sub-optimal adherence to treatment while patients on D4T, 3TC, NVP had the lowest proportion of sub-optimal adherence to treatment.

2.  The attitude of the patient towards the health provider was rated excellent and the general condition of the infrastructures was found to be good however the privacy/confidentiality during examination at the facility/CCC was poor.

Recommendations

1.  The study recommends that the hospital needs to improve the infrastructure so as to boost privacy in the clinic so that patients can be able to discuss their issues with clinicians without fear of being heard by other patients during service provision.

2.  Finally the study recommends although that ART and TB drugs were consistently available, the hospital should ensure availability of other necessary drugs for opportunistic infections and provision of free laboratory tests for the HIV patients‚ taking into consideration that most of the patients socio-economic status are very low therefore making them have difficulties in affording even the cheapest treatment.

Acknowledgments

The authors of this publication "Therapy-Related and Health System-Related Factors Influencing Adherence to ART Treatment among HIV/AIDS Patients in Embu Teaching and Referral Hospital Comprehensive Care Clinic" would like to thank Kenyatta University for supervision; Embu County Teaching and Referral Hospital for permission and Exactitude Research Consultants (Ltd) for data management services.

Competing Interests

All authors declare that: there are no significant competing financial, professional or personal interests that might have influenced the performance or presentation of the work described in this manuscript.

Conflict of Interest

All authors report no conflicts of interest in this publication.

Authors’ Contributions

Authors made substantial contributions to conception and design, and/or acquisition of data, and/or analysis and interpretation of data.


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