Literature DB >> 32546982

Factors Affecting Adherence to Co-Trimoxazole Preventive Therapy in HIV/AIDS Patients Attending an Antiretroviral Therapy Clinic in Ethiopia University Hospital: A Cross-Sectional Study.

Gashaw Binega Mekonnen1, Surafel Ashenafi Addis2.   

Abstract

PURPOSE: This study aimed to assess the factors that affect adherence to co-trimoxazole preventive therapy (CPT) among human immunodeficiency virus (HIV)-positive adults in an antiretroviral therapy (ART) clinic at the University of Gondar Compressive Specialized Teaching Hospital (UOGCSTH).
METHODS: A hospital-based cross-sectional study was conducted from March 1 to April 30, 2018, at the ART clinic at UOGCSTH. Data were collected using face-to-face interviews with pretested and standard questionnaires. Binary and multivariable logistic regression analyses were used to assess the association between different variables. P<0.05 was used to declare the association.
RESULTS: The prevalence of adherence to CPT by self-reporting measurement was 205 (67.8%). Factors such as level of education, taking street drugs (alcohol and khat), spouse knowledge about clients on CPT, knowledge of the benefit of CPT, duration of CPT, missed dose, got proper information on how to take CPT, and counseling done on refill were found to be significantly associated with adherence to CPT. CONCLUSION AND RECOMMENDATIONS: The overall adherence to CPT was fair in our study. To improve the adherence, continuous education and counseling, giving group service support for clients and having a separate counseling room are some of the possible solutions.
© 2020 Mekonnen and Addis.

Entities:  

Keywords:  Ethiopia; HIV/AIDS; University of Gondar; adherence; co-trimoxazole preventive therapy; factors

Year:  2020        PMID: 32546982      PMCID: PMC7250296          DOI: 10.2147/PPA.S252805

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.711


Introduction

HIV is one of the most common health crises ever faced by humankind.1,2 HIV destroys and impairs the immune cells and causes a depletion of CD4 T cells, resulting in conditions called opportunistic infections (OIs), and more than 90% of these are responsible for acquired immune deficiency syndrome (AIDS) morbidity and mortalities.3 High early morbidity and mortality have been observed in a number of ART programs in Sub-Saharan Africa.4,5 In Ethiopia, the total prevalence rate of HIV in 2017 among adults was 1%, and the estimated total people living with HIV/AIDS (PLWHA) accounted for 722 248 and 15,600 people died from AIDS-related illness.6 Early diagnosis, prophylaxis, and treatment of opportunistic infections evidently indicated that improving the quality and length of life of people living with HIV, even before the start of highly active antiretroviral treatment. However, OI continues to cause mortality and morbidity in HIV/AIDS patients still after ART. Most patients do not have a constant response to ART for several reasons, such as less adherence, drug side effects, drug interactions, or initial gaining of a drug-resistant of HIV.3,5 Co-trimoxazole is a fixed-dose combination of two antimicrobial drugs (sulfamethoxazole and trimethoprim) offers a synergistic effect with a broad spectrum of antimicrobial action that covers a variety of bacterial, fungal, and protozoan infections. CPT is a feasible, well-tolerated, widely available, cost-effective intervention to reduce HIV-related morbidity and mortalities related to OIs.5–8 Adherence to CPT has been found to reduce the incidence of OIs and other AIDS-related illnesses. As a result, there is an improvement in the quality of life and increased life expectancy of people infected with HIV. Many studies on CPT revealed that reductions in mortality of between 25% and 46%, reduced OIs as well as rates of hospitalization, weight loss, diarrhea, and malaria, have been reported in low - and middle-income countries.4,9 Therefore, adherence affects the outcome, but achieving and maintaining good adherence is a considerable challenge. This has been a remarkable challenge in HIV/AIDS patients, among whom suboptimal adherence has been reported in a study.9 CPT is self-administered, and therefore, adherence cannot be insured. Adherence to CPT has been low and opportunistic infections continue to be the major cause of mortality and morbidity in HIV, accounting for 47% of AIDS-related deaths.10,11 Adequate initial and ongoing counseling is critical to achieving good adherence. Initial counseling can help patients to identify factors that may interfere with adherence while ongoing counseling both reinforce positive trends and allow for the detection of an emerging issue.10 Several factors affect the level of adherence to CPT like personal related factors such as lack of means of transport, level of education, knowledge of couple, poor knowledge on the benefit of CPT, alcohol or illicit substances, and stress.,12–14 drug-related perceiving medicines as toxic to the body, duration of CPT, missed dose, and added drugs;12–15 and health-center-related factors such as clinics were too far to attend monthly to pick up the tablets, counseling system, and stock out.12,14,15 Identification of a cause that affects adherence to CPT may help for improve adherence. Hence, to the best of our search done, no prior study has been conducted on the factor that affecting of adherence to CPT among HIV/AIDS patients on treatment in UoGCSTH. Thus, adherence to CPT in adult HIV patients in this region is poorly understood, and the most crucial factors for improving adherence are not yet fully investigated. The aim of the present investigation was to assess factors that influence adherence to CPT among HIV-positive adult individuals in the ART clinic at UoGCSTH. Therefore, the findings will be used by the hospital health team and other program implementers to enhance adherence to CPT among HIV/AIDS patients.

Methods

Study Setting and Design

A hospital-based prospective cross-sectional study was conducted at the UoGCSTH ART clinic from March 1 to April 30, 2018. The hospital serves 7 million people in its catchment area of northwest Ethiopia, and it is the largest tertiary hospital in the region. UoGCSTH is located 750 km northwest of the national capital, Addis Ababa. It has both inpatient and outpatient departments. ART clinics is the one among these outpatient clinics and provide health care services for 8681 adult HIV/AIDS patients, of which 5100 are currently on ART and 1000 HIV/AIDS patients on CPT. The UoGCSTH serves more than five million people in the North Gondar zone and people of neighboring zones.

Sample Size Calculation and Sampling Technique

The sample size was calculated based on a single population proportion formula by considering the proportion 50% with 95% confidence interval and with a 5% margin of error, and the sample size drawn was n=384. Since the sample was taken from the total population of 1000 PLWHA who had been taking CPT, that is, less than 10,000, the sample size was adjusted to n=274. Finally, with the addition of 10% non-response, a total of 302 participants were included. During the introduction survey, 5100 PLWHA medical records were screened. Of these, 1000 patients were on CPT. Of 1000 eligible patients for the study, we selected 302 participants using a systematic random sampling technique with an interval (k-value) 3. Randomly, one number was selected from 1 to 3 by the lottery method, and the unique medical registration number of patients was selected in every 3rdunit of registered HIV patients from the ART logbook registration. We invited every three patients attending the ART Clinic to participate in an interview until the required sample was recruited. The next patient registration number was taken to avoid repetition if the medical registration number was redundant; the patient did not meet the inclusion criteria or did not have scheduled follow-up during the study period.

Inclusion and Exclusion Criteria

Those randomly selected HIV patients aged ≥18 years, on CPT, who willing gave informed consent and visited the clinic from March 1 to April 30, 2018, for follow-up were included. However, those patients who were difficult to communicate were excluded from the study.

Study Variables

The dependent variable was adherence to CPT. Independent variables included socioeconomic and demographic (age, sex, occupation, marital status, level of education), patient-related factors (level of education, knowledge of couple, poor knowledge on the benefit of CPT, alcohol or illicit substances, and stress), drug-related factors (availability, adverse drug reactions, duration of CPT, missed dose, and additional drugs), and health service factors (clinics were too far to attend monthly to pick up the tablets, counseling system, and stock out).

Data Collection Method

Data on participants’ socio-demographic characteristics, patient-related factors, drug-related factors, and health-facility-related factors were collected through face-to-face interviews using a structured questionnaire. The magnitude of adherence to CPT was measured using self-reported measurements.17 Two data collectors who are 2 B.Sc nurses and one supervisor, B. Pharmacy, were recruited from ART clinics. Data collectors and supervisors were trained intensively for two days by the principal investigator on the contents of the questionnaire, data collection methods, and ethical concerns.

Data Quality Assurance

The data collection tool was developed from different kinds of literatures.11,12,15 The questions were translated into Amharic with modifications and back-translated to English to retain its original meaning and so as to maintain an unbiased response. The filled questionnaire was checked daily for completeness by the principal investigator. A pretest was done on some of the patients approximately 5% (15) of the sample to make ensure that the study was feasible in this way and to see if the data collection format was appropriate and consistent when gathering the intended information.

Operational Definitions

CPT- is a feasible, inexpensive, and well-tolerated method of using co-trimoxazole intervention in people living with HIV/AIDS to reduce HIV/AIDS-related morbidities and mortalities caused by various bacteria, fungi, and protozoa.15,16 Good adherence: taking greater than 95% prescribed dose of co-trimoxazole.17 Poor adherence: less than 95% missed greater than 3 doses per 30 doses of co-trimoxazole.17

Data Processing and Analysis

The collected data were coded, cleared, and checked for completeness, entered into a computer using Epi Info 7 software and analyzed using statistical packages for social sciences Version 21 statistical software computer program. Statistical analyses were performed using SPSS v.21 (SPSS Inc., Chicago, IL, USA). Frequencies, percentages, mean, and standard deviations were used to describe the variables. Binary logistic regression was used to see the association between independent and dependent variables. Odds ratios were used to see the strength of the association. In this research, there are many potential variables that might have a relation to the outcome and among each other. So, if we included all these variables in the multivariable regression model, confounding, and interaction effect might highly bias our estimate and hence we preferred to use the recommended variable selection method. That is, variables that had a p-value of less than 0.25 at the bivariate analysis were considered for multivariate regression analysis, and those variables with a P-value less than 0.05 were as cut-off points for determining statistical significance.

Ethical Considerations

The study was conducted after ethical clearance and informed verbal consent was acceptable and approved by the Institutional Review Board of the School of Pharmacy, University of Gondar. Informed consent was also obtained from each respondent after the purpose of the study had been explained. They were also informed that participation was voluntary and they could withdraw from the study at any stage if they desired. Participant’s confidentiality was guaranteed by not recording their personal identifiers on the questionnaire. And that this study was conducted in accordance with the Declaration of Helsinki.

Results

Socio-Demographic Characteristics of the Respondents

A total of 302 patients were included in this study. The mean age of the study participants was 37.3 years with SD of ± 11.8 years. One hundred eighty-three (60.6%) participants were female. 146 (48.3%) participants were married, and the majority 284 (94%) were Amhara in ethnicity and Orthodox Christians 259 (85.8%). 149 (49.3%) respondents were primary schools. The majority of 212 (70.2 %) of the participants were employed. All of these are shown in Table 1.
Table 1

Socio-Demographic Characteristics of the Participants

CharacteristicsFrequency (N)Percentage (%)
Age (mean± SD)37.3 (± 11.8)
SexMale11939.4
Female18360.6
EducationHigh school and above7023.2
Primary school14949.3
Illiterate8327.5
Marital statusSingle8026.5
Married14648.3
Separated/divorced/widowed7625.2
ReligionOrthodox25985.8
Muslim3912.9
Protestant41.3
OccupationUnemployed21270.2
Employed9029.8
EthnicityAmhara28494.0
Oromo31.0
Tigria155

Abbreviation: SD, standard deviation.

Socio-Demographic Characteristics of the Participants Abbreviation: SD, standard deviation.

Prevalence of Adherence

The magnitude of adherence to CPT was measured using self-reported measurements. Our results showed that 205 (67.8%) participants were adhering to CPT over the past 30 days. 205 of respondents had missed only one dose and 97 (32.2%) reported missing more than three doses within the past one month. Of these, 62 (63.9%) of the respondents reported that they had missed pills due to forgot to take the pill, development of side effect 15 (15.5), lack of transport 12 (12.4%), and perceived or actual lack of effect (8.2%).

Factors Affecting Adherence to CPT

Association Between Socio-Demographic Factors with Adherence to CPT

The identified socio-demographic factors that contributed to the adherence to CPT were the level of education. However, the other variables were not statistically significant. The level of education of the participants at P= value 0.002 significantly affected the adherence to CPT. Participants high school and above were 2.4 times more likely to adhere to CPT than primary school, and illiterate participants are presented in Table 2.
Table 2

Socio-Demographic Factors of Participants with Adherence to CPT

VariablesFrequencyCOR at 95% CIAOR at 95% CIP-value
AdherentNon-Adherent
Sex
 Male109460.403(0.75-0.092)0.723 (0.396–1.980)0.935
 Female96421.000
Religion
 Orthodox170890.958(0.85-0.092)0.109(0.85-0.097)0.831
 Muslim3270.705(0.35-0.063)0.409(0.55-0.064)0.912
 Protestant311.000
Level of education
 High school and above6731.107(1.75–7.79)2.403(1.35–7.92)0.002**
 Primary school112370.941(0.25-0.042)0.513(0.75-0.081)0.832
 Illiterate26571.000
Marital status
 Married110360.403(0.75-0.092)0.821(0.13-0.092)0.68
 Single/divorced/widowed95611.000
Occupation
 Employed52381.403(1.32–5.92)0.052(0.32–0.56)0.47
 Unemployed153591.000

Note: ** p<0.01

Abbreviations: AOR, adjusted odds ratio; COR, crude odds ratio; 95% CI, ninety-five percent confidence interval.

Socio-Demographic Factors of Participants with Adherence to CPT Note: ** p<0.01 Abbreviations: AOR, adjusted odds ratio; COR, crude odds ratio; 95% CI, ninety-five percent confidence interval.

Patient-Related Factors

Patients’ adherence to prescribed drug regimens has been shown to be greatly influenced by individual behavior patterns that have a direct attitude on how well the patient sticks to their medication. Thirty-four (11.3%) of the participants reported appealing to drugs and other substance abuse. The results of this study revealed that alcohol was the most widely used substance among the respondents at 30 (88.2%), followed by Khat 4 (11.8%), and when asked why they engaged in drug use, 25 (73.5%) of the respondents who reported using drugs gave psychosocial stress as their main reason for doing so, 6 (17.7%) of them reported habit development over time even before infection with HIV/AIDS, as shown in Figure 1.
Figure 1

Frequencies of street drug intakes and reasons by participants.

Frequencies of street drug intakes and reasons by participants. Out of 146 married participants, 130 (68.5%) were aware of their partner’s HIV status. And 110 (84.6%) spouse knew they were taking co-trimoxazole pills, whereas 20 (13.4%) did not know that their spouse was taking CPT. Among 302 participants, 268 (88.7%) participants had another member of their family knew about their HIV status. 116 (38.4%) respondents had another family member on CPT. Of these, 102 (87.9%) of the respondents reported that they had taken co-trimoxazole pills for opportunistic infection related to HIV, 8 (6.9%) for treatment of urinary tract infection, and 6 (5.2%) for respiratory disease treatment.

Association Between Person-Related Factors with Adherence to CPT

Participants who took street drugs were such as alcohol and khat 1.3 times less likely to adhere to CPT than those who did not. Having a spouse aware of the participants being on CPT was 1.2 times to adhere to CPT than the spouse not aware of CPT [Table 3]
Table 3

Patient-Related Factors of Participants with Adherence to CPT

VariablesFrequency (N)COR at 95% CIAOR at 95% CIP-value
AdherentNon-Adherent
Use of street drugs
 Yes7270.431 (1.178–1.616)1.312(0.111–0.253)0.003**
 No198701.000
Spouse knowledge about client HIV status
 Yes120100.340 (1.166–1.694)0.240(0.730–0.932)0.873
 No1241.000
Spouse knowledge about client on CPT
 Yes90201.089 (1.010–1.761)1.201(1.301–9.573)0.045*
 No1641.000
Other family member know of your HIV status
 Yes202661.875(0.103–34.131)1.063 (0.0450.178)0.720
 No3041.000
Any other family member taking co-trimoxazole
 Yes102140.581 (0.076–6.124)0.664(0.049–6.528)0.996
 No103831.000

Notes: *p<0.05, ** p<0.01

Abbreviations: AOR, adjusted odds ratio, COR, crude odds ratio, 95% CI, ninety-five percent confidence interval.

Patient-Related Factors of Participants with Adherence to CPT Notes: *p<0.05, ** p<0.01 Abbreviations: AOR, adjusted odds ratio, COR, crude odds ratio, 95% CI, ninety-five percent confidence interval.

Drug-Related Factors

The majority of participants 268 (88.7%) knew taking CPT as beneficial, of which 223 (83.2%) knew they were taking the medication to alleviate signs and symptoms are presented in Figure 2.
Figure 2

Participant’s knowledge of the benefits of CPT.

Participant’s knowledge of the benefits of CPT.

Duration of CPT

Of the total participants, 103 (34%) had been on CPT for less than 6months, 65 (21.5) had CPT 6–12months, and 134 (44.4%) had been on CPT for more than two years. The mean duration of the program was 1.7 years ± 0.83year.

Other Drugs Taken by the Participants

Two hundred and seventy-two (90.15) of 302 participants were concurrently taking other drugs. Of these, two hundred forty-two (88.9%) were taking ARTs and 30 (11.2%) participants were on other drugs, and ARTs are summarized in Figure 3.
Figure 3

Other drugs taken by participants.

Other drugs taken by participants.

Drug-Related Factors of Participants with Adherence to CPT

Participants perceived CPT to be beneficial were 1.36 times more likely to adhere to CPT than those who did not. Participants who had been on CPT for less than six months, 1.12 times more likely to adhere to CPT than those who had been more than six months. Participants who missed CPT were 1.2 times less likely to adhere to CPT. However, other variables were not statistically significant, as shown Table 4.
Table 4

Drug-Related Factors of Participants with Adherence to CPT

VariablesFrequencyCOR at 95% CIAOR at 95% CIP-value
AdherentNon-Adherent
Benefit from CPT
 Yes198700.940 (1.103–8.994)1.360 (1.166–1.683)0.003**
 No7271.000
Duration on CPT
 <6 months73300.531(1.034–17.694)1.120(1.185–11.504)0.036*
 >6 months132671.000
Any other drug
 Yes183890.693 (0.066–0.471)0.935 (0.351–0.694)0.083
 No12181.000
Missing of dose
 Yes12851.340 (1.166–1.694)1.210(0.330-0.962)0.026*
 No193121.000

Notes: *p<0.05, ** p<0.001.

Abbreviation: AOR, adjusted odds ratio; COR, crude odds ratio; 95% CI, ninety-five percent confidence interval.

Drug-Related Factors of Participants with Adherence to CPT Notes: *p<0.05, ** p<0.001. Abbreviation: AOR, adjusted odds ratio; COR, crude odds ratio; 95% CI, ninety-five percent confidence interval.

Health-Facility-Related Factors

One hundred thirty-one (43.4%) participants lived over 5 kilometers from the hospital. The majority of the participants 278 (92.1%) said received a regular supply of CPT and did not encounter any difficulties accessing the drug from the facility. One hundred twenty-two (40.4%) participants considered the time taken to see the doctor as long. Moreover, 95 (31.5%) of the participants considered the information given by the health care provider during the clinical visit not adequate, and again 142 (47.1%) participants said they were not given counseling during refill are presented in Table 5.
Table 5

Health-Facility-Related Factors in CPT

VariableFrequency (N)Percentage (%)
Distance from the hospital
 <5 km16156.4%
 >5km14143.4%
Drug availability for refills
 Always27892.1
 No247.9
Time taken to see doctors for treatment
 Long12240.4
 Not long18059.6
Proper information on how to take a drug
 Yes20769.5
 No9531.5
Counseling done on refill
 Yes16052.9
 No14247.1
Health-Facility-Related Factors in CPT

Association Between Health-Center-Related Factors with Adherence to CPT

Participants got proper information by the health care provider during the clinical visit 2.3 times more likely to adhere to CPT than those participants not got proper information. Participants got counseling during refill 1.6 times more likely to adhere to CPT than those who did not. However, other variables were not statistically significant are presented with Table 6.
Table 6

Health-Facility-Related Factors of Participants with Adherence to CPT

VariablesFrequencyCOR at 95% CIAOR at 95% CIP-value
AdherentNon-Adherent
Distance from the hospital
 <5 km98430.822 (0.322–2.104)1.023 (0.335–3.124)0.953
 >5km107541.000
 Drug availability for refill
 Yes1890.6027(0.810–4.172)0.071 (0.597–0.925)0.683
 No161.000
Time taken to see doctors for treatment
 Long102200.901 (0.132–2.104)0.033 (0.814–1.021)0.992
 Not long123571.000
Proper information on how to take a drug
 Yes180271.375 (0.322–2.104)2.315(1.009–7.625)0.008**
 No25701.000
Counseling done on refill
 Yes142180.822 (0.322–2.104)1.623(1.335–19.124)0.038*
 No63791.000

Notes: *p<0.05, ** p<0.001.

Abbreviations: AOR, adjusted odds ratio; COR, crude odds ratio; 95% CI, ninety-five percent confidence interval.

Health-Facility-Related Factors of Participants with Adherence to CPT Notes: *p<0.05, ** p<0.001. Abbreviations: AOR, adjusted odds ratio; COR, crude odds ratio; 95% CI, ninety-five percent confidence interval.

Discussion

Medication adherence is an emergent concern in healthcare systems, health care providers, and others because of the facts that low adherence to the course of therapy is a major problem, mostly in patients with chronic diseases like HIV/AIDS. It is common and associated with compromised treatment effectiveness, adverse effects, mortality, and higher expenses on the health care system.18–20 Adherence is defined as taking medications or interventions correctly according to prescription. With any drug use, drug effectiveness is directly proportional to the patient’s level of adherence. Strict adherence is vital for successful CPT. Event exposing patients to CPT for a longer period is more likely to influence adherence to CPT.21–23 There are different methods for evaluating the prevalence of adherence.23 These include direct methods such as biologic markers and body fluid assays, or indirect methods such as self-report, interview, pill counts, and pharmacy records, or a combination of these methods may be employed. Of these alternatives, self-report is the most widely used for adults in developing countries.24 Given its ease of implementation and use of already existing resources.24–26 At this time, there are no gold standard methods for assessing adherence.25 In the present study, the adherence of CPT by self-reported measurement was 205 (67.8%). This finding was consistent with those similar studies done in Uganda 65.7%12 and the University of Gondar.16 However, this finding is lower than that of a study conducted in the MUJHU AIDS clinic at Mulago hospital 77.6%.14 This may to differences in study settings and the majority of the participants’ caregivers in the MUJHU AIDS clinic at Mulago hospital lives in the city. Adherence to CPT is influenced by several factors. They range from socio-demographic factors, patient-related factors, drug-related and health-related factors. Among the socio-demographic characteristics, such as high school and above education, participants had 2.4 times more likely to adhere to CPT than primary and illiterate participants [AOR 95% CI 2.403 (1.35–7.92) (P=0.002)]. This may be due to the fact that the more educated patients are good knowledge about their CPT. Participants who took street drugs like alcohol and khat were 1.3 times less likely to adhere to CPT than those who did not take. This result was consistent with the study done in Uganda.12 This may be a street drug like alcohol and khat consumption resulting in poor memory, high forgot, and little attention given to adherence to CPT. Having a spouse aware of the participants being on CPT was 1.2 times to adhere to CPT than the spouse not aware of CPT. This result was consistent with the study done in Uganda.12 This might be the spouse’s support for their clients to enhance adherence to CPT. Those patients who had knowledge of the benefit of CPT were 1.36 times more likely to adhere to CPT than those who did not. This finding was in agreement with those similar studies done in Uganda.12 Participants who had been on CPT for less than 6 months were 1.12 times more likely to adhere to CPT than those who had been more than six months. However, this finding was not in agreement with the study done in Uganda.12 This may be because exposing patients to CPT for a longer period is more likely to affect adherence to CPT. Participants got proper information by the health care provider during the clinical visit 2.3 times more likely to adhere to CPT than those participants not get proper information. Clients who took counseling during refill were1.6 times more likely to adhere to CPT than those who did not take counseling. This finding was in agreement with those similar studies done in Uganda.12 This may be due to patients getting adequate counseling, and clear information on CPT is a greater chance of adherence to CPT. However, distance from the hospital, drug availability for refill, and time taken to see doctors for treatment was not significantly associated with adherence to CPT. To our knowledge, this is the first study to assess factors that affect adherence to CPT in adult HIV-infected patients in Ethiopia university hospitals, so this study can provide baseline information. However, there were some limitations to the present study that has to be considered. The possible limitations of the present study were: this is a cross-sectional study design, whereby claims about the directionality of a causal relationship between the dependent and independent variables cannot be verified. The questionnaire was administered through face-to-face interviews by trained nurses in ART clinics, which may increase the respondents’ inclination to give socially acceptable answers. Moreover, in this study, adherence was measured using self-report, which can potentially lead to recall bias by the respondents, which should be taken into consideration while interpreting the results. Moreover, the study was assessed using only a quantitative method.

Conclusion

The findings of this study found that the prevalence of adherence by self-report was relatively good. The level of education, spouse knowledge on CPT, knowledge of the benefit of CPT, takes street drugs, duration of CPT, proper information on how to take a drug, and counseling during refill, independently affected CPT adherence. To improve the adherence, continuous education and counseling, giving group service support for clients and having a separate counseling room are some of the possible solutions.
  16 in total

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Journal:  Int J Clin Pharm       Date:  2014-02

7.  Electronic reminders to improve medication adherence--are they acceptable to the patient?

Authors:  Laura Sahm; Aoife MacCurtain; John Hayden; Cicely Roche; Helen L Richards
Journal:  Pharm World Sci       Date:  2009-12

8.  Medication adherence among patients with chronic conditions in Italy.

Authors:  Francesco Napolitano; Paola Napolitano; Italo Francesco Angelillo
Journal:  Eur J Public Health       Date:  2015-08-11       Impact factor: 3.367

Review 9.  Antiretroviral therapy adherence and retention in care in middle-income and low-income countries: current status of knowledge and research priorities.

Authors:  Jean B Nachega; Edward J Mills; Mauro Schechter
Journal:  Curr Opin HIV AIDS       Date:  2010-01       Impact factor: 4.283

10.  Factors associated with coverage of cotrimoxazole prophylaxis in HIV-exposed children in South Africa.

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Journal:  PLoS One       Date:  2013-05-07       Impact factor: 3.240

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