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. Author manuscript; available in PMC: 2014 Dec 30.
Published in final edited form as: J Acquir Immune Defic Syndr. 2013 May 1;63(1):42–50. doi: 10.1097/QAI.0b013e318286ce49

Randomized Clinical Trial of HIV Treatment Adherence Counseling Interventions for People Living with HIV and Limited Health Literacy

Seth C Kalichman 1, Chauncey Cherry 1, Moira O Kalichman 1, Christina Amaral 1, Denise White 1, Tamar Grebler 1, Lisa A Eaton 1, Dean Cruess 1, Mervi A Detorio 2, Angela M Caliendo 3, Raymond F Schinazi 2
PMCID: PMC4279917  NIHMSID: NIHMS444303  PMID: 23337369

Abstract

Background

Limited health literacy is a known barrier to medication adherence among people living with HIV. Adherence improvement interventions are urgently needed for this vulnerable population.

Purpose

This study tested the efficacy of a pictograph-guided adherence skills building counseling intervention for limited literacy adults living with HIV.

Methods

Men and women living with HIV and receiving antiretroviral therapy (ART, N=446) who scored below 90% correct on a test of functional health literacy were partitioned into marginal and lower literacy groups and randomly allocated to one of three adherence-counseling conditions: (a) pictograph-guided adherence counseling, (b) standard adherence counseling, or (c) general health improvement counseling. Participants were followed for 9-months post-intervention with unannounced pill count adherence and blood plasma viral load as primary endpoints.

Results

Preliminary analyses demonstrated the integrity of the trial and more than 90% of participants were retained. Generalized estimating equations showed significant interactions between counseling conditions and levels of participant health literacy across outcomes. Participants with marginal health literacy in the pictograph-guided and standard-counseling conditions demonstrated greater adherence and undetectable HIV viral loads compared to general health counseling. In contrast and contrary to hypotheses, participants with lower health literacy skills in the general health improvement counseling demonstrated greater adherence compared to the two adherence counseling conditions.

Conclusions

Patients with marginal literacy skills benefit from adherence counseling regardless of pictographic tailoring and patients with lower literacy skills may require more intensive or provider directed interventions.

Keywords: HIV Treatment, Adherence Intervention, Health Literacy

Introduction

HIV epidemics remain concentrated in the poorest and most disadvantaged communities. Significant advances in antiretroviral therapy (ART) result in better management of HIV infection but these benefits are not equally shared by all people living with HIV. (1, 2) Among factors known to impede medication adherence are poor health literacy skills, particularly difficulty reading and interpreting medical information. (3) While the most prevalent reasons for missing medications are based on memory lapses, poor-literacy skills preclude the use of written reminders and other verbal systems commonly used to enhance adherence.(4) Patients with lower-literacy skills may not understand the repercussions of non-adherence, which can lead to intentionally missing medications to relieve side-effects, taking drug holidays, or cleansing their body. (59) Indeed, impediments to adherence may account for the poorer health outcomes consistently observed in lower-literacy medical populations.(10, 11)

The association between health literacy and ART adherence appears quite robust (7, 1218) Unfortunately, few adherence interventions have addressed literacy skills and we are not aware of any ART adherence interventions tailored for limited literacy populations tested in controlled trials.(1921) The purpose of the current research was to test a pictograph-guided patient education and skills-building intervention to improve ART adherence for people with marginal and lower literacy skills. We designed a counseling intervention for use in clinical care with minimal demands on reading skills and pictographically presented treatment-relevant information. We tested the pictograph-guided intervention in comparison to both standard adherence counseling and time-matched general health improvement counseling. We hypothesized that for patients with lower-literacy skills, pictograph-guided counseling would result in greater use of adherence skills, HIV suppression and ART adherence compared to both standard adherence and general health improvement counseling. We also hypothesized that the benefits of pictograph-guided counseling would not be observed in patients with marginal literacy skills.

Methods

Participants and setting

Participants were men and women recruited from AIDS services and community outreach in Atlanta, GA a city with among the fastest growing HIV epidemics in the United States. (22) The study commenced November 2008, enrollment ended in April 2011, and follow-ups were completed April 2012.

Ethical review

This trial was registered with ClinicalTrials.gov, identifier NCT01061762. All study protocols were approved by the University of Connecticut IRB and a Federal Certificate of Confidentiality was obtained from the National Institutes of Health. There were two adverse events that were unrelated to study activities: participant injuries sustained while coming to the study.

Overview of intervention conditions

The three experimental conditions in this trial were implemented using matched operational protocols and procedures. All interventions were conducted at the same community-based research site. The three counseling conditions were grounded in Social-Cognitive Theory of behavior change (23, 24) and designed for use in HIV treatment settings. The interventions were formatted to deliver two 60 min. one-on-one counseling sessions over two weeks and a third 30 min. booster session two weeks later. The same interventionists delivered all three manual-based and patient-education flipchart driven counseling conditions. All counselors received extensive training in each condition and attended weekly supervision.

Pictograph-guided adherence counseling

Following the initial formative study period, we designed a treatment adherence intervention tailored for people with lower-health literacy skills. This intervention was extensively pilot tested in a Phase-I trial described elsewhere. (25) The content of the intervention relied on pictographic information particularly relevant to an individual’s medication regimen. The intervention concentrated on delivering the most relevant information for treatment adherence including the importance of following prescribed instructions for each drug. We also included motivational enhancement techniques including providing direct feedback on participant health status and training in self-monitoring skills for changes in adherence and viral load. We tailored medication instructions to lower levels of reading literacy, including the use of memory cues for fitting medications into daily routines using strategies described in earlier research. (26)

A primary aim of the intervention was to integrate intensive interactions with pictograph-guided instructions. (27) The intervention materials were developed with minimal words, modeled after similar interventions that have been effective in other areas of health promotion (e.g., (27, 28) The intervention sessions were guided by a tabletop flipchart that moved the counselor and participant together through each intervention component. In addition, a pocket-size pamphlet was developed to represent the participant’s medication regimen, as well as dosing times and administration instructions. The counselor and participant therefore created an individualized adherence plan within the context of two counseling sessions. Participants were given an array of adherence tools of their choosing, including pillboxes, watch alarms, reminder notes etc. The adherence tools were discussed in the context of current medications and current efforts to remain adherent. Planning and problem solving skills were central to the goals of the counseling sessions. The third and final session was a booster that applied problem solving strategies to challenging situations that occurred since the previous session (two weeks earlier). Situations in which medications may have been missed or not taken on schedule were recreated and role-played for problem solving with the aim of improving future adherence.

Standard adherence counseling

As a comparison condition, we included interactive counseling that delivered educational information about HIV treatments, viral suppression, side effects, and the role of adherence in preventing viral resistance. The standard counseling was guided by a participant education flipchart that included brief verbal descriptions of concepts that the participant and counselor could read together as they talked. Text was used throughout the materials that included illustrations of HIV infection processes and comic strips depicting the HIV disease process as an alien invasion. Problem solving skills were applied to situations that create challenges for medication adherence. Participants were given a pillbox and discussed how they could use it and other tools to improve adherence. The third session was a brief booster guided by challenges to adherence that the participant experienced during the previous two weeks.

General health improvement counseling

The control arm was contact-matched non-contaminating health improvement counseling for individuals living with HIV. This condition concentrated on improving general health and well-being in relation to living with HIV. The first session focused on understanding nutrition in terms of food groups including how to read a food label and relate nutritional information to diet and food choices. The second session focused on stress reduction, relaxation and exercise to improve health and well-being. The session ended with participants setting personal health goals and selecting health improvement tools such as pillboxes, pedometers, hand-squeeze balls, and nutrition guides. The third session was a brief booster that discussed and problem solved barriers to achieving personal health improvement goals.

Measures

Reading literacy

Reading-literacy was assessed at screening with the reading comprehension scale of the Test of Functional Health Literacy in Adults [TOFHLA, (29, 30)] The scale is timed and includes 50 multiple-choice items, in which selecting the correct word among four options completes sentences from standard medical instructions. Scores ranged from 0 to 50 with the percent correct computed for the total score.

Numeracy literacy

We also administered the TOFHLA Numeracy Scale that assesses numerical reasoning for medical instructions.(30) For the purposes of the current study, the Numeracy Scale was used to internally validate literacy groups based on the TOFHLA reading comprehension scale.

Vision

Participants were asked a series of questions regarding their vision and use of corrective lenses. Participants who complained of blurred vision during reading were offered non-prescription reading glasses.

Computerized interviews

For self-report instruments participants completed 30 min. audio-computerized self-interviewing (ACASI) at baseline and 3-month and 9-month post-intervention follow-ups. (13, 14) Participants reported demographic information, the date they tested HIV positive, and their income/disability status. We also assessed 14 HIV-related symptoms of 2-weeks duration. (15) Adherence strategies and skills were also assessed to serve as secondary outcomes. (31) Specifically, participants indicated whether they had used 13 common memory-based strategies for improving medication adherence. (32, 33)

Baseline viral load and CD4 counts

We used a participant assisted method for collecting baseline chart abstracted viral load and CD4 cell counts from participants’ medical records. Participants were given a form that requested their doctor’s office to provide results and dates of their most recent viral load and CD4 cell counts. The form included a place for the provider’s office stamp or signature to assure authenticity.

Primary outcomes: HIV RNA viral load and ART adherence

HIV RNA viral load

Participants provided blood specimens to test for HIV (RNA) viral load at the final follow-up assessment. Blood samples were provided at the project offices using standard phlebotomy and were couriered to the lab for processing. Whole blood specimens in EDTA tube (Becton Dickinson) were centrifuged at 500 g for 10 min within 4 hrs of collection. The plasma was recovered and aliquoted into 1 ml samples and stored at −70°C. Prior to August 2010 HIV-1 viral load was determined using the ultra-sensitive version of the Amplicor HIV-1 Monitor Test (Roche Diagnsotics, Indianapolis, IN), with a lower limit of quantification of 50 copies/ml. From August 2010 forward HIV-1 viral load was measured using the RealTime HIV-1 assay (Abbott Molecular) with a lower limit of quantification of 40 copies/ml. For consistency across assays and baseline chart values, we defined undetectable viral load as less than 50 copies/ml.

ART adherence

HIV treatment adherence was monitored with monthly-unannounced telephone-based pill counts. Unannounced pill counts are a reliable and valid measure of ART adherence when conducted in participants’ homes and on the telephone (34, 35), including demonstrated reliability and validity among people with poor literacy skills.(3638) Unannounced pill counts are an objective measure of adherence, not subject to reporting biases. In order for participants to fabricate their pill counts they would have to mentally calculate missed doses into missed pills since the last unannounced call which occurred a month earlier while also knowing how many pills they should have taken and how many pills they had counted on the previous call, an exceedingly difficult task. Participants were provided with a free cell phone that restricted service for project contacts and emergency use. Following the initial office-based training in the pill counting procedure, participants were called every 21 to 35 days at unscheduled times by a phone assessor. Pharmacy information from pill bottles was also collected to verify the number of pills dispensed between calls. Adherence was calculated as the ratio of pills counted relative to pills prescribed, taking into account the number of pills dispensed. The first three pill counts occurred prior to the baseline assessment allowing us to calculate pre-intervention adherence.

Sample size

A moderate effect size (d=.35) was used to calculate statistical power for both primary endpoints.(39, 40) We assumed 80% retention and estimated a sample of 140 for each primary outcome to achieve 90% chance of detecting differences between groups.

Recruitment and enrollment

We notified AIDS service providers and infectious disease clinics throughout Atlanta about the study opportunity. Interested persons phoned the research site to schedule an intake appointment. People living with HIV and taking ART were enrolled in a run-in study to screen for literacy skills. Participants with TOFHLA scores below 90% correct were recruited for participation in the trial. We selected this liberal cut-off to screen out individuals with higher reading ability while minimizing the exclusion of lower-literacy participants. The additional study entry criteria were (a) age 18 or older and (b) proof of positive HIV status and current use of ART with a photo ID matching a current ART prescription bottle.

Literacy groups

Within the sample, we defined marginal literacy as scoring between 85% and 90% correct on the TOFHLA and lower-literacy as scoring below 85% correct (29) Marginal / lower literacy was treated as a blocking variable in all outcome analyses.

Randomization and blinding

Following the baseline assessment and the first three unannounced phone assessments, the Project Manager randomly assigned participants to conditions. Allocation was accomplished using an automated randomization generator accessed at www.randomizer.org. Randomization was not breached throughout the trial. Recruitment, screening, office-based assessment, and telephone assessment staff remained blinded to condition throughout the study and interventionists never conducted assessments.

Statistical analyses

We first examined differences between conditions on demographic and health characteristics using analyses of variance (ANOVA) for continuous measures and contingency table chi-square tests for categorical variables. We also used procedures suggested by Jurs and Glass (41) to test baseline equivalence between conditions and effects of attrition on dependent measures.

Primary and secondary outcome analyses used an intent-to-treat approach where all available follow-up data from participants was included in the analyses regardless of their exposure to the intervention sessions. Primary outcome analyses for adherence and viral load used generalized estimating equations (GEE) with unstructured working correlation matrixes. All outcome analyses controlled for baseline values. Counseling condition, literacy level, time of assessment, and all interactions were entered as model effects. Planned contrasts with least significant difference adjustment were used to test for simple effects. Adherence outcomes represent over-dispersed count data and therefore used Poisson distribution. To simplify interpretation of results we report the 95% ART adherence outcomes at each assessment point. For viral load outcomes, we performed GEE models for both the log-values (continuous scale) and dichotomously coded detectable/undetectable (binomial). Finally, secondary outcomes for adherence strategies at 3- and 9-month post-intervention follow-ups were analyzed using logistic regression models for use or non-use of each strategy among participants who did not report using the strategy at baseline. We also created a composite score for total aggregated adherence strategies reported at the 3- and 9-month follow-ups. Differences between intervention and literacy groups for aggregated strategies were tested using ANOVA, controlling for number of strategies used at baseline. All main outcome analyses and planned comparisons defined statistical significance as p < .05.

Results

Preliminary analyses showed that there were no differences between intervention conditions at baseline. (see Table 1). Participants’ ART regimens included Nucleoside Reverse Transcriptase Inhibitors (RTIs, N =404, 90%), Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs, N = 51, 11%), Protease Inhibitors (PIs, N = 296, 66%), Integrase inhibitors (N = 38, 9%), and multi-class single pills (N = 83, 18%). ART classes were proportional across conditions as were the number of pills and doses taken per day and there were no differences on baseline measures of adherence, viral load, or behavioral skills. Marginal literacy participants were younger (M = 46.0, SD = 8.0) and had more years of education (M = 12.5, SD = 1.6) than lower-literacy participants [M = 48.0, SD = 7.9, t(444) = 2.6, p < .01; M = 11.6, SD = 1.8, t(444) = 5.09, p < 01, respectively]. The literacy groups did not differ on any other demographic characteristics.

Table 1.

Baseline demographic and health characteristics of clinical trial participants.

Characteristic Pictograph Guided (N = 148) Standard Adherence (N = 157) General Health Improvement (N = 141) F p

M SD M SD M SD
Age 46.7 7.3 47.0 8.4 47.8 8.3 0.6 ns
Years of education 12.0 1.7 12.0 1.8 11.9 1.8 0.5 ns
Years since testing HIV+ 14.0 7.4 13.6 7.3 13.0 6.6 0.7 ns
HIV symptoms 5.1 3.1 5.0 3.1 4.9 3.0 0.1 ns
CD4 cell count 411 313.2 404 250.2 437 288.9 0.5 ns
Number of pills/day 3.0 1.4 2.8 1.2 2.8 1.1 1.3 ns
% Correct reading literacy 72.2 22.9 73.9 20.8 72.4 21.4 0.3 ns
% Correct numeracy literacy 64.1 25.4 67.7 27.3 64.3 26.2 0.9 ns

N % N % N % X2

Men 104 70 115 73 91 65
Women 44 30 42 27 50 36 2.7 ns
African-American 137 93 152 97 132 94 2.8 ns
Currently unemployed 42 28 50 32 38 27 6.4 ns
Disabled status 96 65 95 60 100 71
Income < $10,000 year 101 69 111 71 105 75 1.1 ns
TOFLA < 85% correct 86 58 84 53 57 40 1.2 ns
CD4 count < 200 cell/cc 39 26 39 25 30 21 1.1 ns
Medication doses/day
1 74 50 89 57 76 54
2 74 50 67 43 64 46 0.9 ns
Number HIV Hospitalizations
0 66 45 69 44 61 43 1.7 ns
1 21 14 28 18 29 21
2 13 9 18 12 26 18
3+ 48 37 42 26 25 18
Knows CD4 count 115 78 128 82 118 84 1.7 ns
Knows viral load 108 73 116 74 105 75 0.1 ns
Alcohol in the past 3 months 69 47 77 50 59 42 5.5 ns
Brings someone to doctor to help with reading 28 17 21 13 18 12 2.4 ns

Assisted with completing medical forms 54 34 62 38 51 33 0.7 ns
Wears reading glasses 98 62 107 66 101 67 0.8 ns
Experiences difficulty reading 74 50 77 47 81 53 1.7 ns

As shown in Figure 1, counseling session attendance was proportional across conditions: 96% of participants attended at least one counseling session and 86% attended all three sessions. The trial retained over 92% of participants randomized to conditions for ACASIs and 90% for monthly telephone assessments; 78% (n=348) completed all 9 monthly post-intervention assessment calls (Mean = 8.3, SD=1.6). Two participants were known to have died during the trial, three withdrew and three moved out of state. Attrition was proportional for the two conditions at 3- and 9-month follow-ups. Planned attrition analyses did not find differences between participants retained and lost by condition.

Figure 1.

Figure 1

Flow chart of participants in the randomized clinical trial of ART adherence for people with lower health literacy. ART = Antiretroviral therapy; ACASI = Audio computer assisted self-interview; UPC = Unannounced pill count; TOFHLA = Test of Functional Health Literacy for Adults;

HIV RNA viral load primary outcomes

The mean log-values for HIV RNA viral load at baseline and follow-ups for the counseling conditions and literacy groups are shown in Table 2. Analyses indicated that there were no main effects at the follow-up viral load testing for counseling conditions, Wald X2(2) = 0.45, p > .1, or literacy groups, Wald X2(1) = 1.88, p > .1. However, there was a significant counseling condition by literacy group interaction, Wald X2(2) = 6.80, p < .03. The condition by literacy group interaction effect was also significant for participants achieving undetectable viral loads nine months after counseling, Wald X2(2) = 2.05, p < .01 (see Figure 2). Among the marginal literacy participants who had a detectable viral load at baseline, 40% of the pictograph-guided and 45% of the standard adherence counseling conditions achieved an undetectable viral load at the follow-up, compared to 33% of the general health improvement condition. In contrast, for the lower-literacy participants only 28% who received pictograph-guided counseling who had detectable viral loads at baseline achieved an undetectable viral load at the follow-up compared to 35% of participants in the standard adherence counseling and 40% of those in the general health improvement condition.

Table 2.

Log-viral load and proportion of participants achieving 95% adherence at baseline and follow-up unannounced pill counts for the three intervention conditions.

Marginal Literacy Participants Pictograph Guided Standard Adherence General Health Improvement

M SD M SD M SD
Baseline viral load 2.10 0.72 2.18 0.98 1.98 0.64
9-month viral load1 2.07a 0.95 2.08a 0.90 2.25b 0.96

N % N % N %

Baseline adherence 19 30 25 34 18 34
1-month adherence 23 42 30 42 20 41
2-month adherence 29 55a 32 45b 24 49b
3-month adherence 24 44 29 42 20 42
4-month adherence 28 53a 27 40b 18 38b
5-month adherence 22 42 26 41 19 41
6-month adherence 24 47 26 42 21 45
7-month adherence 19 31 19 26 14 25
8-month adherence 21 35 23 31 19 35
9-month adherence 20 45 22 37 21 45

Lower Literacy Participants M SD M SD M SD

Baseline viral load 2.08 0.81 2.23 1.00 2.10 0.81
9-month viral load1 2.29a 1.19 2.25a 1.14 2.00b 0.88

N % N % N %

Baseline adherence 28 33 28 34 33 39
1-month adherence 31 43a 36 51b 47 61c
2-month adherence 26 34a 38 55b 40 54b
3-month adherence 30 41 33 48 37 51
4-month adherence 32 44a 30 43a 40 56b
5-month adherence 26 36 34 51 36 52
6-month adherence 29 42 32 50 31 45
7-month adherence 17 21 28 33 27 32
8-month adherence 30 36 36 43 33 40
9-month adherence 28 45 30 44 39 57

Note:

a,b, c

Different letter superscripts indicate significant group differences;

1

Main effect on viral load for intervention condition, Wald X2 = 0.45, ns; Interaction effect on viral load for intervention x literacy group controlling for baseline, Wald X2 = 6.80, p < .05.

Figure 2.

Figure 2

Percent participants with undetectable HIV RNA viral loads (< 50 copies/ml) at 9-months follow-up for people with marginal and lower health literacy randomized to three ART adherence counseling interventions.

Treatment adherence primary outcomes

Table 2 shows the percentages of participants in each condition within literacy groups who achieved greater than 95% adherence at each time point. GEE models for monthly-unannounced pill count adherence indicated that there were no main effects for condition or literacy group, although there was a main effect for time, Wald X2 (8) = 19.72, p < .01. Paralleling the viral load outcomes, there was a significant intervention condition by literacy group interaction effect, Wald X2(2) = 5.93, p < .05. Planned comparisons showed that significant differences between conditions were observed at the 1-month follow-up, Wald X2(2) = 4.66, p < .05, 2-month follow-up, Wald X2(2) = 4.73, p < .05, and 4-month follow-up, Wald X2(2) = 4.75, p < .05. Results showed that among marginal health literacy participants, the pictograph-guided and standard adherence counseling conditions demonstrated greater adherence compared to the general health improvement counseling. The difference between the pictographic and standard conditions was not significant. In contrast, lower-literacy participants in the general health improvement counseling condition demonstrated greater adherence than those in the pictograph-guided and standard adherence counseling.

Behavioral adherence strategy secondary outcomes

Results of logistic regression models testing the use and non-use of 13 behavioral adherence strategies controlling for baseline use and including literacy group, indicated significant intervention condition differences at the 3-month follow-up. (see Table 3) Analysis of the behavioral strategy composite measure indicated a main effect for condition, F(2, 426) = 3.40, p < .05; the two adherence counseling interventions used significantly more strategies than the health improvement counseling condition. There was also a significant intervention condition by literacy group interaction, F(2, 426) = 3.1, p < .05; lower literacy participants in the pictograph-guided and standard counseling conditions used more strategies than the health improvement condition. However, among the marginal literacy participants, the pictograph-guided counseling condition reported greater use of adherence strategies compared to the standard and health improvement counseling conditions.

Table 3.

Behavioral strategies for medication adherence among participants in the three intervention conditions.

3-Month Follow-up Pictograph Guided (N = 158) Standard Adherence (N = 163) General Health Improvement (N = 151) OR p
N % N % N %
Pill Box 102 73 82 54 65 49 0.56 .01
Kept medications in an easily seen place 103 72 99 65 79 59 0.62 .01
Used a case or bag 98 69 91 60 80 60 0.85 ns
Clock/timer 53 37 36 24 33 25 0.56 .01
Watch alarm 45 31 30 20 28 21 0.62 .05
Friend or family 46 32 44 29 42 31 0.95 ns
Meal time 92 65 94 62 76 57 0.79 ns
Bed time 83 58 101 67 72 54 0.89 ns
Routine activity 75 52 77 51 55 41 0.75 ns
Moved medications 44 31 49 32 34 25 0.87 ns
Written notes/post its 22 15 16 10 20 15 0.99 ns
Calendar 51 36 59 39 42 31 0.90 ns
Reminders 35 25 35 23 20 15 0.58 .01
Total strategies (M,SD)
Total Sample 5.9a 3.1 5.3a 3.0 4.8b 3.2 3.4a .05
Lower Literacy 6.1a 3.0 5.6a 3.4 4.7b 3.5 3.1b .05
Marginal Literacy 5.7a 3.2 5.0b 3.6 4.9b 2.9
9-Month Follow-up
Pill Box 80 61 73 49 63 48 0.64 .05
Kept medications in an easily seen place 93 71 99 67 76 58 0.74 ns
Used a case or bag 88 67 96 65 74 56 0.80 ns
Clock/timer 49 37 38 25 22 16 0.37 .01
Watch alarm 38 29 42 28 18 14 0.61 .01
Friend or family 37 28 43 29 36 27 0.90 ns
Meal time 79 60 89 60 70 53 0.84 ns
Bed time 73 55 95 65 74 56 0.83 ns
Routine activity 63 48 75 51 49 37 0.69 .05
Moved medications 41 31 4 30 36 27 0.97 ns
Written notes/post its 17 13 20 13 18 13 0.85 ns
Calendar 47 25 53 35 39 30 0.88 ns
Reminders 27 21 31 21 21 16 0.75 ns
Total strategies (M,SD)
Total Sample 5.5a 3.0 5.3a 3.3 4.5b 3.1 2.70a ns
Lower Literacy 5.6a 3.0 5.5a 3.5 4.3b 3.2
Marginal Literacy 5.5a 3.0 5.1a 2.9 4.8b 2.9 3.4b .05

Note:

a

F-test for main effect of intervention condition;

b

F-test for interaction effect of intervention x literacy group.

Similar results were observed at the 9-month follow-up. The pictograph-guided counseling condition reported the greatest use of strategies. The main effect for intervention condition was not significant, F(2, 409) = 2.70, p < .06. However, the intervention condition by literacy group interaction was significant, F(2, 409) = 3.40, p < .05; lower literacy participants in the pictograph-guided and standard adherence counseling interventions again reported more use of adherence strategies than the general health counseling condition, whereas among marginal literacy participants, the pictograph-guided counseling condition reported more adherence strategies than the standard adherence and general health counseling conditions.

Discussion

Similar to past research, we observed poor ART adherence among persons with marginal and lower health literacy (18). To our knowledge this is the first randomized clinical trial of an ART adherence improvement intervention for people with poor literacy skills. We designed an intervention using established principles for enhancing health communication and education for medical patients with lower health literacy. (10, 27) The experimental ART counseling was guided by pictographic representations of HIV disease processes, actions of ART in suppressing HIV, and consequences of ART non-adherence. The intervention underwent extensive preliminary testing and demonstrated promising outcomes in a pilot study. (25) For participants with marginal levels of health literacy, the current findings failed to show any added benefit of the pictograph-guided counseling for adherence improvement beyond those observed from a standard approach to adherence counseling. Among participants with lower health literacy, neither the pictographic nor the standard adherence counseling demonstrated positive outcomes. This unexpected pattern of results suggests that individuals who demonstrate modest health literacy deficits can benefit from brief and focused adherence counseling. However, persons who experience more difficulty reading and understanding health information may require more intensive provider directed approaches to adherence.

The current trial was conducted in a city in the southeastern United States that may not be generalizable to other cities and regions. Generalizability was also limited by recruiting with outreach and referral procedures. Thus, while our sample extends across multiple clinics, our convenience sample cannot be considered representative of people living with HIV receiving care. Another limitation of the study was our use of self-reported measures of medication adherence strategies. The primary behavioral endpoint in this study was ART adherence measured by unannounced phone-based pill counts, which has not shown evidence of assessment reactivity. (37) Nevertheless, we cannot rule out the potential for monthly assessment calls prompting participant adherence across conditions. It is also possible that the literacy groups were confounded by unmeasured characteristics including neurocognitive disorders. In addition, we did not differentiate changes in viral load attributable to poor adherence from viral load increases resulting from treatment failure. With these limitations in mind, we believe that the current trial results have implications for HIV treatment adherence interventions for limited literacy adults.

HIV infections are most prevalent in low-income, disadvantaged communities. Poor health literacy likely plays a predominant role in HIV treatment outcomes and health disparities. (42) Results from the current study encourage screening patients for basic health literacy skills in risk assessments for difficulties adhering to treatment. Patients who do not experience difficulty reading as well as those who are less proficient readers may benefit from brief skills-based adherence counseling. However, patients who are unable to read and those who read with greater difficulty will require closer clinical monitoring and may benefit from more intensive approaches to adherence such as modified direct observation therapies, blister-packs, and mobile medication alert systems. (43) Literacy skills are associated with verbal memory, planning skills, motor speed and other neurocognitive functions that can all interfere with adherence. (44) Interventions are therefore still needed to achieve optimal ART adherence and positive treatment outcomes for patients with lower health literacy skills.

Footnotes

Financial disclosures and conflicts of interest:

This project was supported by the National Institute of Mental Health (NIMH) grant R01-MH82633, Kalichman, PI. Detorio, Caliendo, and Schinazi were supported by the Center for AIDS Research, Emory University School of Medicine, National Institutes of Health (NIH) grant P30 AI050409; Detorio and Schinazi were supported by the Department of Veterans Affairs.

No conflicts reported.

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