Skip to main content
Journal of Pharmaceutical Health Care and Sciences logoLink to Journal of Pharmaceutical Health Care and Sciences
. 2024 Jun 5;10:27. doi: 10.1186/s40780-024-00349-7

Factors associated with incomplete adherence to integrase strand transfer inhibitor-containing single-tablet regimen among Japanese people living with HIV

Yusuke Kunimoto 1, Shinichi Hikasa 2, Masashi Ishihara 3, Mariko Tsukiji 4, Kazuko Nobori 5, Takeshi Kimura 6, Kenta Onishi 7, Yuuki Yamamoto 8, Kyohei Haruta 9, Yohei Kasiwabara 10, Kenji Fujii 11, Masahide Fukudo 1,✉
PMCID: PMC11151521  PMID: 38840139

Abstract

Background

People living with human immunodeficiency virus (PLWH) require high rates of medication adherence to antiretroviral therapy (ART) for a successful treatment outcome. Understanding the factors associated with incomplete adherence among those receiving integrase strand transfer inhibitor-containing single-tablet regimens (INSTI-STRs) is crucial for improving treatment outcomes. This study aimed to identify the factors contributing to incomplete ART adherence among Japanese PLWH receiving INSTI-STRs.

Methods

This multicenter cross-sectional study was conducted at 11 Japanese institutions as an anonymous survey. ART adherence was assessed using a self-reported questionnaire. We defined incomplete ART adherence as missing ≥ 1 dose of antiretroviral drugs (ARVs) over the past month. The factors associated with incomplete ART adherence were assessed using logistic regression analysis. Additionally, we investigated the associations between patients’ satisfaction score with and need for ARVs and their adherence to ART.

Results

The final analysis included data of 387 patients who were treated with INSTI-STRs. Multivariate logistic regression demonstrated significant association of younger age (adjusted odds ratio [aOR], 0.79; 95%confidence interval [CI]: 0.64–0.99 for each 10-year increment) with incomplete ART adherence. Additionally, female sex (aOR, 3.98; 95%CI: 1.36–11.60); depressive symptoms (mild depression: aOR, 1.68; 95%CI: 1.001–2.82, moderate depression: aOR, 2.98; 95%CI: 1.35–6.53, and severe depression: aOR, 8.73; 95%CI: 1.38–55.00 vs. minimal depression); were also significantly associated with incomplete ART adherence when compared with the reference categories. Concomitant medication usage was significantly associated with a lower rate of incomplete ART adherence (1–4 medications: aOR, 0.53; 95%CI: 0.31–0.89 and ≥ 5 medications: aOR, 0.30; 95%CI: 0.13–0.70 vs. no concomitant medication usage). In the incomplete ART adherence group, satisfaction scores for various aspects were significantly lower. Furthermore, a lower proportion of patients in the incomplete ART adherence group preferred the option of “taking tablets daily and visiting the hospital every 3 months,” compared to those in the complete ART adherence group (p = 0.008).

Conclusions

This study demonstrated that factors associated with incomplete ART adherence include younger age, female sex, no concomitant medication, and depressive symptoms. Despite ART simplification, incomplete adherence among PLWH receiving INSTI-STRs, remains a challenge, requiring additional actions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40780-024-00349-7.

Keywords: HIV, Antiretroviral therapy, Antiretroviral drug, Integrase strand transfer inhibitor, Single-tablet regimen, ART adherence, Japan

Background

People living with human immunodeficiency virus (PLWH) require extremely high levels of medication adherence to antiretroviral therapy (ART) for a successful treatment outcome [1]. In addition, several reports have indicated that ART non-adherence is associated with adverse clinical outcomes, such as residual inflammatory responses in PLWH, even when the HIV viral load is suppressed [2–4]. The simplification of ART since the advent of the single-tablet regimen (STR), which is a form of HIV treatment that combines multiple drugs into one daily pill, has positively impacted medication adherence and treatment satisfaction among PLWH [5–10]. According to current HIV treatment guidelines, integrase strand transfer inhibitor-containing STRs (INSTI-STRs) are primarily recommended as the initial treatment regimen [11]. Although some treatments are exceptions, most ARTs still require daily oral medication intake, and maintaining medication adherence is a critical therapeutic concern. Previous studies have indicated that incomplete ART adherence (< 100%) can negatively impact patients’ prognosis and inflammatory status [2, 12]. Therefore, aiming for complete ART adherence may provide greater benefits to PLWH.

ART non-adherence has been reported to be associated with age, sex, education level, employment status, treatment factors, disease factors, patients’ satisfaction with ART, and mental health status [6, 13–19]. However, no studies have focused on INSTI-STRs, which are currently the mainstream treatment strategies. Furthermore, each country or region may have characteristics that may serve as barriers to treatment, and limited studies exist on the factors contributing to ART non-adherence in Japanese patients [13]. Consequently, it is essential to identify individual regional factors associated with ART non-adherence. This study aimed to investigate the factors associated with incomplete ART adherence among Japanese PLWH, receiving treatment with INSTI-STRs. Additionally, we investigated the relationships between patients’ satisfaction with antiretroviral drugs (ARVs), their needs for ARVs, and ART adherence.

Methods

Study design and patients

This multicenter cross-sectional study was an anonymous survey conducted from April 2021 to December 2021 through self-reported questionnaires distributed at 11 institutions across Japan. Patients eligible for this study had to meet all of the following criteria: 1) aged 20 years or older, 2) having reading and writing ability in Japanese, and 3) have been receiving current ART for more than 4 weeks. Patients with unanswered questions, those with erroneous information, or those who did not provide consent to participate in this study were excluded. All study participants provided written informed consent. Questionnaires were distributed manually. Participation in the survey was voluntary, and confidentiality was maintained throughout the study and analysis. The protocol of this study was approved by the institutional review board at Sapporo Medical University (322–301) and all other participating research centers.

Measurements

Medication adherence to ART

Medication adherence to ART was assessed using self-reported questions on the frequency of missing ARV doses over the past month. Complete ART adherence was defined as having no missing doses of ARVs, while incomplete ART adherence was defined as having missed one or more doses of ARVs.

HIV Treatment Satisfaction Questionnaire: Status (HIVTSQs)

Data were collected in patient-completed questionnaire forms using the Japanese versions of the HIVTSQs for assessing satisfaction with ART [20–22]. Each item on the HIVTSQs was scored on a Likert scale ranging from 0 (least satisfied) to 6 (most satisfied). We calculated the total score for the HIVTSQs by summing the scores for items 1–11, resulting in a possible range of 0–66. The higher and lower scores indicated more and less satisfaction with treatment, respectively.

Patient Health Questionnaire-9 (PHQ-9)

Depressive symptoms were measured using the Japanese versions of the PHQ-9 [23–25]. The PHQ-9 is a nine-item questionnaire assessing depressive symptoms over the past 2 weeks, with participants rating each symptom’s frequency on a scale from 0 (not at all) to 3 (nearly every day). The scores for the PHQ-9 were calculated as the sum of the score for each item, with a total score ranging from 0 to 27. The total scores on the PHQ-9 were classified according to levels of depression severity as follows: 0–4 (minimal), 5–9 (mild), 10–14 (moderate), 15–19 (moderately severe), and 20–27 (severe). Higher scores indicated greater depressive symptoms.

Satisfaction with the ARV questionnaire

The questionnaire, designed specifically for assessing satisfaction with ARV use includes seven items covering different aspects, such as size, feeling while receiving ARV, color, taste, portability, daily oral therapy, and co-payment [26]. Patients responded to the question of “How satisfied are you with the anti-HIV medications you are currently taking?” on a 7-point Likert scale (0 = not satisfied at all, 1 = not satisfied, 2 = somewhat unsatisfied, 3 = good, 4 = somewhat satisfied, 5 = satisfied, and 6 = very satisfied), to indicate their satisfaction with using ARVs.

Questionnaire on the needs for future drug formulation for PLWH taking ARVs

PLWH needs were assessed using a tailored questionnaire focusing on future ARV formulation, considering factors such as dosage form and dosing frequency [26]. Patients responded to the question, “What type of anti-HIV drugs would you like to use based on your experience?” by selecting from a list of options that reflected their treatment preferences.

Data collection

Data collection was conducted on the date of questionnaire completion, with all information sourced from the patients' hospital's electronic medical records. Self-administered questionnaires were completed by patients and submitted or collected via mail. Demographic and clinical data included age, sex, education level, employment status, CD4 cell count, HIV RNA levels, history of acquired immunodeficiency syndrome diagnosis, time on ART, current ART regimen, and use of concomitant medications. These variables were selected based on previous investigations on factors associated with ART adherence [14, 16, 17, 19]. Education level was divided into two categories: vocational school/college of technology/university and lower; HIV RNA levels were classified into < 50 and ≥ 50 copies/mL groups; current ART regimen was categorized based on the type of INSTI and the presence of dietary restrictions; and the dietary requirements of the regimen were classified as food required and not required with ART. Duration of ART was classified as, < 5, 5–9, and ≥ 10 years), and the number of concomitant medications as 0, 1–4, and ≥ 5, both based on categories used in previous studies [27, 28].

Statistical methods

Continuous data are presented as medians (interquartile ranges). Categorical variables are presented as frequencies and percentages. The Mann–Whitney U-test was used to compare continuous variables. The chi-square test or Fisher’s exact test was used to compare categorical variables. Binary logistic regression analysis was performed to examine associations between demographics, clinical data, HIVTSQs score, PHQ-9 score, and incomplete ART adherence. Subsequently, factors exhibiting a potentially significant level (p < 0.1) in the binomial logistic regression analysis were included in the multivariate model. Notably, the variance inflation factors (VIFs) of all variables to be included in the multivariate logistic regression analysis were evaluated, and all variables with VIF > 5 were excluded. Complete case analysis was performed because the missing data were < 5% [29]. Statistical significance was defined as p < 0.05 for a two-sided test. All statistical analyses were performed using JMP Pro version 15 (SAS Institute, Cary, NC, USA).

Results

Demographic and clinical characteristics

Among the 704 patients who agreed to participate in this study, data from 387 patients using INSTI-STRs with no unanswered or erroneous responses to the adherence question were included in the final analysis. A flowchart of the enrollment of study patients is presented in Supplemental Figure S1 in Additional file 1. Table 1 shows the demographic and clinical characteristics of the study patients. The treatment regimen for 387 patients is detailed in Supplemental Table S1 in Additional file 2. The mean age of the patients was 47.5 years. Most patients were male (95.6%), and HIV-RNA was undetectable (< 50 copies/mL) in most individuals (97.4%).

Table 1.

Demographic and clinical characteristicsa

Characteristics
Number of patients 387
Age (years), median (IQR) 47.0 (39.0–54.0)
Sex, n (%)
 Male 370 (95.6)
 Female 17 (4.4)
Education levelb, n (%)
 Primary school/Secondary school 146 (37.7)
 Vocational school/College of Technology/University 239 (61.8)
 Missing data 2 (0.5)
Employment statusb, n (%)
 Employed 308 (79.6)
 Unemployed 63 (16.3)
 Missing data 16 (4.1)
CD4 cell count (cells/µL), median (IQR) 570 (434–752)
HIV-RNA < 50 copies/mL, n (%)
 Yes 377 (97.4)
 No 10 (2.6)
Prior AIDS diagnosisb, n (%)
 Yes 124 (32.0)
 No 262 (67.7)
 Missing data 1 (0.3)
Time on ART (years), n (%)
  < 5 121 (31.3)
 5–9 122 (31.5)
  ≥ 10 144 (37.2)
INSTIs in the current regimenc, n (%)
 Bictegravir 203 (52.5)
 Dolutegravir 162 (41.9)
 Elvitegravir 22 (5.7)
Food requirements for the regimen, n (%)
 Yes 30 (7.8)
 No 357 (92.2)
Number of concomitant medications, n (%)
 None 187 (48.3)
 1–4 143 (37.0)
  ≥ 5 57 (14.7)
Total score of HIVTSQsb, median (IQR) 59 (53–65)
Depression leveld, n (%)
 Minimal 197 (50.9)
 Mild 127 (32.8)
 Moderate 36 (9.3)
 Moderately severe 20 (5.2)
 Severe 7 (1.8)

Abbreviations: AIDS Acquired immunodeficiency syndrome, ART Antiretroviral therapy, INSTI Integrase strand transfer inhibitor, HIVTSQs HIV treatment satisfaction questionnaire: status, PHQ-9 Patient health questionnaire-9

aData are expressed as number (%) or median (IQR)

bMissing data/nonresponses were excluded for the following variables: educational level (n = 2), employment status (n = 16), prior AIDS diagnosis (n = 1), and total score of HIVTSQs (n = 6)

cThe sum may not equal 100% due to rounding to the second decimal place for each item in the table

dThe total scores on the PHQ-9 were classified according to levels of depression severity as follows: 0–4 (minimal), 5–9 (mild), 10–14 (moderate), 15–19 (moderately severe), and 20–27 (severe)

Binary logistic regression analysis of factors associated with incomplete ART adherence

Incomplete ART adherence was observed in 34.1% of patients. The results of univariate and multivariate logistic regression analyses are presented in Table 2. Univariate analysis demonstrated significant association of younger age (odds ratio [OR] 0.68, 95%confidence interval [CI]: 0.56–0.82 for each 10-year increment, p < 0.001), female sex (OR 2.90, 95%CI: 1.08–7.81, p = 0.035), higher CD4 cell count (OR 1.11, 95%CI: 1.02–1.21 for each 100 cells/µL increment, p = 0.014), lower total HIVTSQs score (OR 0.97, 95%CI: 0.94–0.99 for each 1-point increment, p = 0.011), depressive symptoms (moderate depression: OR 2.37, 95%CI: 1.15–4.89, p = 0.020 and severe depression: OR 6.62, 95%CI: 1.25–35.15, p = 0.027 vs minimal depression) with incomplete ART adherence. Concomitant medication was significantly associated with a lower rate of incomplete ART adherence (using 1–4: OR 0.46, 95%CI: 0.29–0.74, p = 0.001 and using ≥ 5: OR 0.34, 95%CI: 0.17–0.69, p = 0.003).

Table 2.

Univariate and multivariate logistic regression analysis of the factors associated with incomplete ART adherence

Variable Complete ART adherence (n = 255) Incomplete ART adherence (n = 132) Unadjusted OR (95% CI) p valuea Adjusted OR (95% CI) p valuea
Age (years)b, median (IQR) 48.0 (41.0–56.0) 44.5 (36.0–49.0) 0.68 (0.56–0.82)  < 0.001 0.79 (0.64–0.99) 0.038
Sex, n (%) 0.035 0.012
 Male 248 (97.3) 122 (92.4) 1.00 (reference) 1.00 (reference)
 Female 7 (2.7) 10 (7.6) 2.90 (1.08–7.81) 3.98 (1.36–11.60)
Education level c, n (%) 0.649
 Primary school/Secondary school 98 (38.4) 48 (36.4) 0.90 (0.58–1.40)
 Vocational school/College of Technology/University 155 (60.8) 84 (63.6) 1.00 (reference)
 Missing data 2 (0.8) 0
Employment status c,d, n (%) 0.300
 Employed 199 (78.0) 109 (82.6) 1.00 (reference)
 Unemployed 45 (17.6) 18 (13.6) 0.73 (0.40–1.32)
 Missing data 11 (4.3) 5 (3.8)
CD4 cell count (cells/µL) b, median (IQR) 565 (404–732) 616.5 (477.5–786.5) 1.11 (1.02–1.21) 0.014 1.09 (0.997–1.20) 0.058
HIV-RNA < 50 copies/mL, n (%) 0.691
 Yes 249 (97.6) 128 (97.0) 1.00 (reference)
 No 6 (2.4) 4 (3.0) 1.30 (0.36–4.68)
Prior AIDS diagnosis c, n (%) 0.104
 Yes 89 (34.9) 35 (26.5) 1.00 (reference)
 No 166 (65.1) 96 (72.7) 1.47 (0.92–2.34)
Missing data 0 1 (0.8)
Time on ART (years), n (%) 0.612
  < 5 76 (29.8) 45 (34.1) 1.15 (0.69–1.90) 0.592
 5–9 84 (32.9) 38 (28.8) 0.88 (0.52–1.47) 0.618
  ≥ 10 95 (37.3) 49 (37.1) 1.00 (reference)
INSTIs in the current regimen, n (%) 0.425
 Bictegravir 138 (54.1) 65 (49.2) 1.00 (reference)
 Dolutegravir 105 (41.2) 57 (43.2) 1.15 (0.74–1.78) 0.524
 Elvitegravir 12 (4.7) 10 (7.6) 1.77 (0.73–4.31) 0.209
Food requirements for the regimen, n (%) 0.758
 Yes 19 (7.5) 11 (8.3) 1.13 (0.52–2.45)
 No 236 (92.5) 121 (91.7) 1.00 (reference)
Number of concomitant medications, n (%)  < 0.001 0.006
 None 105 (41.2) 82 (62.1) 1.00 (reference) 1.00 (reference)
 1–4 105 (41.2) 38 (28.8) 0.46 (0.29–0.74) 0.001 0.53 (0.31–0.89) 0.016
  ≥ 5 45 (17.6) 12 (9.1) 0.34 (0.17–0.69) 0.003 0.30 (0.13–0.70) 0.005
Total score of HIVTSQs b,c, median (IQR) 60 (54–65) 58 (51–63) 0.97 (0.94–0.99) 0.011 0.98 (0.95–1.01) 0.147
Depression level d,e, n (%) 0.020 0.010
 Minimal 143 (56.1) 54 (40.9) 1.00 (reference) 1.00 (reference)
 Mild 80 (31.4) 47 (35.6) 1.56 (0.97–2.51) 0.070 1.68 (1.001–2.82) 0.0496
 Moderate 19 (7.5) 17 (12.9) 2.37 (1.15–4.89) 0.020 2.98 (1.35–6.53) 0.007
 Moderately severe 11 (4.3) 9 (6.8) 2.17 (0.85–5.52) 0.105 2.70 (0.97–7.52) 0.058
 Severe 2 (0.8) 5 (3.8) 6.62 (1.25–35.15) 0.027 8.73 (1.38–55.00) 0.021

Abbreviations: AIDS Acquired immunodeficiency syndrome, ART Antiretroviral therapy, CI Confidence interval, INSTI Integrase strand transfer inhibitor, HIVTSQs HIV treatment satisfaction questionnaire: status, PHQ-9 Patient health questionnaire-9, OR Odds ratio

aWald test

bOdds ratio are expressed as follows: age per 10-year increment, CD4 cell count per 100 cells/µL increment, total score of HIVTSQs per 1-point increment

cMissing data/nonresponses were excluded for the following variables: educational level (n = 2), employment status (n = 16), prior AIDS diagnosis (n = 1), and total score of HIVTSQs (n = 6)

dThe sum may not equal 100% due to rounding to the second decimal place for each item in the table

eThe total scores on the PHQ-9 were classified according to levels of depression severity as follows: 0–4 (minimal), 5–9 (mild), 10–14 (moderate), 15–19 (moderately severe), and 20–27 (severe)

Multivariate logistic regression analysis was performed by including age, sex, CD4 cell count, number of concomitant medications, total score of HIVTSQs, and level of depression as confounding variables. The mean VIF value for variables in the multivariate analysis was 1.17 (range: 1.02–1.51), indicating a reasonable level of multicollinearity. The multivariate logistic regression revealed the following factors to be significantly associated with incomplete ART adherence; younger age (adjusted OR [aOR] 0.79, 95%CI: 0.64–0.99 for each 10-year increment, p = 0.038), female sex (aOR 3.98, 95%CI: 1.36–11.60, p = 0.012), mild depression (aOR 1.68, 95%CI: 1.001–2.82, p = 0.0496), moderate depression (aOR 2.98, 95%CI: 1.35–6.53, p = 0.007), and severe depression (aOR 8.73, 95%CI: 1.38–55.00, p = 0.021). Concomitant medication was associated with a lower rate of incomplete ART adherence (using 1–4: aOR 0.53, 95%CI: 0.31–0.89, p = 0.016 and using ≥ 5: aOR 0.30, 95%CI: 0.13–0.70, p = 0.005).

Comparison of ARV satisfaction and future preference for ARV of PLWH between complete and incomplete ART adherence groups

The results of the comparison between PLWH in the complete and incomplete ART adherence groups using a questionnaire on satisfaction with ARVs are shown in Table 3. In the incomplete ART adherence group, ARV satisfaction scores for size (p = 0.043), feeling while receiving ARV (p = 0.002), taste (p = 0.012), portability (p = 0.004), and daily oral therapy (p < 0.001) were significantly lower than those of patients in the complete ART adherence group. The results of the comparison between PLWH in the two groups using a questionnaire regarding their future preference for ARVs are shown in Fig. 1 and Supplemental Table S2 in Additional file 2. In the incomplete ART adherence group, the proportion of patients who preferred “taking tablets daily and visiting the hospital every 3 months” was significantly lower (complete ART adherence: 65.5% and incomplete ART adherence: 51.5%; p = 0.008).

Table 3.

Comparisons of satisfaction score of the current ART between the complete and incomplete ART adherence groups

Item labela ART adherence Satisfaction scoreb / Number (%)c Median (IQR) p valued
0 1 2 3 4 5 6
Size Complete (n = 252) 4 (1.6) 2 (0.8) 9 (3.6) 25 (9.9) 45 (17.9) 60 (23.8) 107 (42.5) 5 (4–6) 0.043
Incomplete (n = 131) 5 (3.8) 1 (0.8) 6 (4.6) 21 (16.0) 27 (20.6) 23 (17.6) 48 (36.6) 5 (3–6)
Feeling while using Complete (n = 252) 2 (0.8) 2 (0.8) 6 (2.4) 18 (7.1) 45 (17.9) 70 (27.8) 109 (43.3) 5 (4–6) 0.002
Incomplete (n = 131) 0 (0) 5 (3.8) 6 (4.6) 19 (14.5) 26 (19.8) 34 (26.0) 41 (31.3) 5 (4–6)
Color Complete (n = 251) 6 (2.4) 2 (0.8) 3 (1.2) 25 (10.0) 27 (10.8) 59 (23.5) 129 (51.4) 6 (4–6) 0.052
Incomplete (n = 130) 3 (2.3) 1 (0.8) 3 (2.3) 20 (15.4) 13 (10.0) 37 (28.5) 53 (40.8) 5 (4–6)
Taste Complete (n = 251) 1 (0.4) 0 (0) 1 (0.4) 28 (11.2) 21 (8.4) 55 (21.9) 145 (57.8) 6 (5–6) 0.012
Incomplete (n = 131) 2 (1.5) 1 (0.8) 6 (4.6) 17 (13.0) 14 (10.7) 30 (22.9) 61 (46.6) 5 (4–6)
Portability Complete (n = 252) 3 (1.2) 7 (2.8) 8 (3.2) 21 (8.3) 40 (15.9) 55 (21.8) 118 (46.8) 5 (4–6) 0.004
Incomplete (n = 131) 4 (3.1) 6 (4.6) 8 (6.1) 15 (11.5) 24 (18.3) 30 (22.9) 44 (33.6) 5 (3–6)
Daily oral therapy Complete (n = 253) 4 (1.6) 5 (2.0) 7 (2.8) 41 (16.2) 44 (17.4) 56 (22.1) 96 (37.9) 5 (4–6)  < 0.001
Incomplete (n = 131) 7 (5.3) 8 (6.1) 15 (11.5) 21 (16.0) 30 (22.9) 27 (20.6) 23 (17.6) 4 (3–5)
Co-payment Complete (n = 253) 1 (0.4) 3 (1.2) 6 (2.4) 29 (11.5) 22 (8.7) 52 (20.6) 140 (55.3) 6 (5–6) 0.810
Incomplete (n = 131) 1 (0.8) 3 (2.3) 8 (6.1) 15 (11.5) 9 (6.9) 20 (15.3) 75 (57.3) 6 (4–6)

ART Anti-retroviral therapy

aMissing data/nonresponses were excluded for the following items: size (n = 4), feeling while using (n = 4), color (n = 6), taste (n = 5), portability (n = 4), daily oral therapy (n = 3), and co-payment (n = 3)

bEach item is rated on a Likert scale ranging from 0 (very dissatisfied) to 6 (very satisfied), with higher scores indicating greater satisfaction

cThe sum may not equal 100% due to rounding to the second decimal place for each item in the table

dMann–Whitney U test

Fig. 1.

Fig. 1

Comparison of PLWH with complete and incomplete ART adherence regarding their future ARV preferences (n = 387). The questionnaire allowed respondents to choose their preferred ARVs, with multiple responses possible. Each item indicates the formulation of a drug, frequency of use, (frequency of hospital visit). Asterisks indicate statistical significance between the two groups, as determined by the chi-square test (NS, nonsignificant; *, p < 0.01). ARVs, anti-retroviral drugs; Tab, tablets; s.c, subcutaneous injection; i.m, intramuscular injection; OD, orally disintegrating tablets; PLWH, people living with HIV; ART, anti-retroviral therapy

Discussion

In this multicenter cross-sectional study spanning 11 institutions, we identified the factors associated with incomplete ART adherence among Japanese PLWH using INSTI-STRs. These include younger age, female sex, no concomitant medications, and depressive symptoms. Furthermore, patients with incomplete ART adherence were significantly less likely to prefer daily oral ART in pill form and expressed lower satisfaction with various current ARVs than those with complete ART adherence.

The results of the present study are similar to those of previous reports on PLWH receiving ART that are not limited to INSTI-STRs [6, 15, 30]. These findings suggest a consistent influence of the identified factors on ART non-adherence, irrespective of the treatment regimen or study region. Additionally, the use of concomitant medications was associated with complete ART adherence, which is consistent with the previous findings by a multicenter randomized trial [14]. Other reports have indicated inconsistent associations between polypharmacy and ART non-adherence [31, 32]. Our results showed that patients with polypharmacy (number of concomitant medications ≥ 5) were less likely to have incomplete ART adherence. Differences in the association of ART adherence between studies may be attributed to variations in adherence measurement methods and definitions, as well as differences in the type of ART regimen. Our results suggest that a more cautious approach to treatment contributes to preventing missed doses in patients with comorbidities as compared to those taking ARVs alone [33]. In our study, 34.1% of PLWH reported missed doses in the past month, even when treated with a simplified regimen, such as INSTI-STRs. In two previous studies, self-reported incomplete ART adherence rates in the past month were reported as 17% and 24%, respectively [34, 35]. Thus, ART adherence in our study is considered relatively low. There is potential for improved outcomes of achieving complete adherence [2], and our results highlight the need for additional interventions to maintain adherence.

The proportion of patients in the incomplete ART adherence group who preferred “taking tablets daily and visiting the hospital every 3 months” was significantly lower than that of those in the complete ART adherence group. Furthermore, despite a ceiling effect that should be interpreted with caution, satisfaction scores with the size, feeling while using ARVs, taste, portability, and daily oral dosing of ARVs were significantly lower in the incomplete ART adherence group than in the complete ART adherence group. Despite the simplicity and convenience of using INSTI-STRs, our findings indicate that some patients may not be optimally treated, highlighting the need for refinement in treatment strategies. A previous study reported that the burden regarding medication was associated with poor medication adherence [18]. Our results emphasize the importance of identifying patients’ needs and dissatisfaction with ARVs, as well as their ART adherence, in routine practice. For some patients dissatisfied with oral ART, switching to parenteral ART may have a positive impact [36, 37]. Similarly, switching from one STR to another may also reduce dissatisfaction, considering the various tablet forms used.

The factors identified for incomplete ART adherence may have a similar impact on patients using INSTI-STRs in regions other than Japan. However, our results cannot be extrapolated to regions where INSTI-STR is not widely used. Nevertheless, our results would provide important insights into ART adherence. Notably, we identified that younger age, female sex, no concomitant medications, and depressive symptoms influenced incomplete ART adherence among PLWH receiving treatment with INSTI-STRs. Our results suggest that these factors should be considered in addressing ART non-adherence in introducing INSTI-STRs. Furthermore, the present results emphasize the importance of considering the individual characteristics and preferences of patients when choosing ART. Our findings may serve as foundational data for improved adherence to INSTI-STR treatment in regions where its use is not widespread.

This study had some limitations. First, medication adherence was assessed with only a self-reported questionnaire, which may have led to a potential overestimation of adherence [38]. However, self-reported medication adherence measures have been widely used in previous clinical trials and have demonstrated associations with clinical outcomes in PLWH [39, 40]. Second, this study’s cross-sectional design impedes the determination of long-term trends in medication adherence, necessitating a longitudinal study for further clarification. Third, there exists the possibility of missing data that are not recorded in the hospital database.

Nonetheless, this study identified several factors associated with incomplete ART adherence among PLWH using INSTI-STRs. Additionally, dissatisfaction with ARVs may affect ART adherence in this population. Medical providers should pay attention to ART adherence when following up with patients exhibiting characteristics associated with non-adherence to INSTI-STRs. Routine assessment of patient needs and level of satisfaction with ARVs, along with the evaluation of ART adherence, may assist in assessing the appropriateness of continuing current therapy.

Conclusions

The present study clarified that adherence to ART among Japanese PLWH treated with INSTI-STRs was still incomplete despite the simplification of ART, which remains a challenge. We identified factors associated with incomplete ART adherence among Japanese PLWH receiving treatment with INSTI-STRs, including younger age, female sex, no concomitant medications, and symptoms of depression.

Supplementary Information

40780_2024_349_MOESM1_ESM.pptx (45.7KB, pptx)

Additional file 1: Supplemental Figure S1. Patient enrollment flowchart.

40780_2024_349_MOESM2_ESM.docx (33.9KB, docx)

Additional file 2: Supplemental Table S1. Antiretroviral therapy regimens included in the study. Supplemental Table S2. Comparison of PLWH with complete and incomplete ART adherence and their future ARV preferences.

Acknowledgements

We sincerely thank everyone who participated in this study. Additionally, we extend our thanks to the HIV medical teams at the collaborating hospitals for their valuable help: Sapporo Medical University Hospital, Hyogo Medical University Hospital, Gifu University Hospital, Chiba University Hospital, Kobe City Medical Center General Hospital, Kobe University Hospital, Wakayama Medical University Hospital, Himeji Medical Center, Nara Medical University Hospital, Japanese Red Cross Kyoto Daiichi Hospital, and Hiroshima University Hospital.

Abbreviations

PLWH

People living with HIV

ART

Antiretroviral therapy

INSTI-STR

Integrase strand transfer inhibitor-containing single-tablet regimen

HIV

Human immunodeficiency virus

ARV

Antiretroviral drug

STR

Single-tablet regimen

HIVTSQs

HIV treatment satisfaction questionnaire: status

PHQ-9

Patient health questionnaire-9

VIF

Variance inflation factor

OR

Odds ratio

aOR

Adjusted odds ratio

INSTI

Integrase strand transfer inhibitor

CI

Confidence interval

Authors’ contributions

YuK, SH, MI, MT, KN, TK, KO, YY, KH, YoK, and KF conceived and designed the study. YuK analyzed the data and drafted the manuscript. YuK, SH, MI, MT, TK, and MF interpreted the data. SH, MI, MT, KN, TK, KO, YY, KH, YoK, KF, and MF critically revised the manuscript. All authors have read and approved the final version of the manuscript.

Funding

This study did not receive any specific grants from funding agencies in the public, commercial, or non-profit sectors.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its supplementary information files.

Declarations

Ethics approval and consent to participate

The study was approved by the institutional review boards of Sapporo Medical University Hospital (322–301) and all other study centers. The purpose and significance of the study were explained to the participants, and written informed consent was obtained from the participants.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Paterson DL, Swindells S, Mohr J, Brester M, Vergis EN, Squier C, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med. 2000;133:21–30. doi: 10.7326/0003-4819-133-1-200007040-00004. [DOI] [PubMed] [Google Scholar]
  • 2.Castillo-Mancilla JR, Morrow M, Hunt PW, Schnittman SR, Phillips AN, Baker JV, et al. Beyond undetectable: modeling the clinical benefit of improved antiretroviral adherence in persons with human immunodeficiency virus with virologic suppression. Open Forum Infect Dis. 2023;10:ofad230. doi: 10.1093/ofid/ofad230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Castillo-Mancilla JR, Brown TT, Erlandson KM, Palella FJ, Gardner EM, Macatangay BJC, et al. Suboptimal adherence to combination antiretroviral therapy is associated with higher levels of inflammation despite HIV suppression. Clin Infect Dis. 2016;63:1661–1667. doi: 10.1093/cid/ciw650. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Castillo-Mancilla JR, Phillips AN, Neaton JD, Neuhaus J, Sharma S, Baker JV, et al. Incomplete ART adherence is associated with higher inflammation in individuals who achieved virologic suppression in the START study. J Int AIDS Soc. 2019;22:e25297. doi: 10.1002/jia2.25297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Altice F, Evuarherhe O, Shina S, Carter G, Beaubrun AC. Adherence to HIV treatment regimens: systematic literature review and meta-analysis. Patient Prefer Adherence. 2019;13:475–490. doi: 10.2147/PPA.S192735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Oh KS, Han E. A comparison of medication adherence and viral suppression in antiretroviral treatment-naïve patients with HIV/AIDS depending on the drug formulary. PLoS ONE. 2021;16:e0245185. doi: 10.1371/journal.pone.0245185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cooke CE, Lee HY, Xing S. Adherence to antiretroviral therapy in managed care members in the United States: a retrospective claims analysis. J Manag Care Pharm. 2014;20:86–92. doi: 10.18553/jmcp.2014.20.1.86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sutton SS, Magagnoli J, Hardin JW. Impact of pill burden on adherence, risk of hospitalization, and viral suppression in patients with HIV infection and AIDS receiving antiretroviral therapy. Pharmacotherapy. 2016;36:385–401. doi: 10.1002/phar.1728. [DOI] [PubMed] [Google Scholar]
  • 9.Yager J, Faragon J, McGuey L, Hoye-Simek A, Hecox Z, Sullivan S, et al. Relationship between single tablet antiretroviral regimen and adherence to antiretroviral and non-antiretroviral medications among veterans’ affairs patients with human immunodeficiency virus. AIDS Patient Care STDs. 2017;31:370–376. doi: 10.1089/apc.2017.0081. [DOI] [PubMed] [Google Scholar]
  • 10.Hikasa S, Ishihara M, Tsukiji M, Kunimoto Y, Nobori K, Kimura T, et al. Factors associated with patient satisfaction with antiretroviral therapy in Japan: A cross-sectional, multicenter study. J Infect Chemother. 2024;S1341–321X(24):00047–3. doi: 10.1016/j.jiac.2024.02.012. [DOI] [PubMed] [Google Scholar]
  • 11.HIV Clinical Guidelines: adult and adolescent ARV - what’s new in the guidelines. 2023. https://clinicalinfo.hiv.gov/en/guidelines/hiv-clinical-guidelines-adult-and-adolescent-arv/whats-new. Accessed 31 Dec 2023.
  • 12.Castillo-Mancilla JR, Cavassini M, Schneider MP, Furrer H, Calmy A, Battegay M, et al. Association of incomplete adherence to antiretroviral therapy with cardiovascular events and mortality in virologically suppressed persons with HIV: the Swiss HIV cohort study. Open Forum Infect Dis. 2021;8:ofab032. doi: 10.1093/ofid/ofab032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Inoue Y, Oka S, Yokoyama S, Hasegawa K, Mahlich J, Schaede U, et al. Medication adherence of people living with HIV in Japan—a cross-sectional study. Healthc Basel Switz. 2023;11:451. doi: 10.3390/healthcare11040451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.O’Connor JL, Gardner EM, Mannheimer SB, Lifson AR, Esser S, Telzak EE, et al. Factors associated with adherence amongst 5295 people receiving antiretroviral therapy as part of an international trial. J Infect Dis. 2013;208:40–49. doi: 10.1093/infdis/jis731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Beer L, Skarbinski J. Adherence to antiretroviral therapy among HIV-infected adults in the United States. AIDS Educ Prev. 2014;26:521–537. doi: 10.1521/aeap.2014.26.6.521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Gonzalez JS, Batchelder AW, Psaros C, Safren SA. Depression and HIV/AIDS treatment nonadherence: a review and meta-analysis. J Acquir Immune Defic Syndr. 2011;58:181–187. doi: 10.1097/QAI.0b013e31822d490a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Suryana K, Suharsono H, Antara IGPJ. Factors associated with adherence to antiretroviral therapy among people living with HIV/AIDS at Wangaya Hospital in Denpasar, Bali, Indonesia: a cross-sectional study. HIV AIDS (Auckl) 2019;11:307–312. doi: 10.2147/HIV.S219695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Short D, Wang X, Suri S, Hsu TK, Jones B, Fredericksen RJ, et al. Risk factors for suboptimal adherence identified by patient-reported outcomes assessments in routine HIV care at 2 North American clinics. Patient Prefer Adherence. 2022;16:2461–2472. doi: 10.2147/PPA.S378335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Casado JL, Marín A, Romero V, Bañón S, Moreno A, Perez-Elías MJ, et al. The influence of patient beliefs and treatment satisfaction on the discontinuation of current first-line antiretroviral regimens. HIV Med. 2016;17:46–55. doi: 10.1111/hiv.12280. [DOI] [PubMed] [Google Scholar]
  • 20.Woodcock A, Bradley C. Validation of the revised 10-item HIV Treatment Satisfaction Questionnaire status version and new change version. Value Health. 2006;9:320–333. doi: 10.1111/j.1524-4733.2006.00121.x. [DOI] [PubMed] [Google Scholar]
  • 21.Romaine J, Murray M, Bradley C. Psychometric evaluation of the revised HIV Treatment Satisfaction Questionnaire (HIVTSQ) Value Health. 2016;19:A420. [Google Scholar]
  • 22.Woodcock A, Bradley C. Validation of the HIV treatment satisfaction questionnaire (HIVTSQ) Qual Life Res. 2001;10:517–531. doi: 10.1023/a:1013050904635. [DOI] [PubMed] [Google Scholar]
  • 23.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–613. doi: 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Muramatsu K, Miyaoka H, Kamijima K, Muramatsu Y, Tanaka Y, Hosaka M, et al. Performance of the Japanese version of the Patient Health Questionnaire-9 (J-PHQ-9) for depression in primary care. Gen Hosp Psychiatry. 2018;52:64–69. doi: 10.1016/j.genhosppsych.2018.03.007. [DOI] [PubMed] [Google Scholar]
  • 25.Muramatsu K, Miyaoka H, Kamijima K, Muramatsu Y, Yoshida M, Otsubo T, et al. The patient health questionnaire, Japanese version: validity according to the mini-international neuropsychiatric interview-plus. Psychol Rep. 2007;101:952–960. doi: 10.2466/pr0.101.3.952-960. [DOI] [PubMed] [Google Scholar]
  • 26.Ishihara M, Hikasa S, Tsukiji M, Kunimoto Y, Nobori K, Kimura T, et al. Assessment of satisfaction with antiretroviral drugs and the need for long-acting injectable medicines among people living with HIV in Japan and its associated factors: a prospective multicenter cross-sectional observational study. AIDS Res Ther. 2023;20:62. doi: 10.1186/s12981-023-00557-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Dorcélus L, Bernard J, Georgery C, Vanessa C. Factors associated with antiretroviral therapy adherence among people living with HIV in Haiti: a cross-sectional study. AIDS Res Ther. 2021;18:81. doi: 10.1186/s12981-021-00405-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.El Moussaoui M, Lambert I, Maes N, Sauvage A-S, Frippiat F, Meuris C, et al. Evolution of Drug Interactions With Antiretroviral Medication in People With HIV. Open Forum Infect Dis. 2020;7:ofaa416. doi: 10.1093/ofid/ofaa416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Lee KJ, Tilling KM, Cornish RP, Little RJA, Bell ML, Goetghebeur E, et al. Framework for the treatment and reporting of missing data in observational studies: the Treatment And Reporting of Missing data in Observational Studies framework. J Clin Epidemiol. 2021;134:79–88. doi: 10.1016/j.jclinepi.2021.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Soares RCA, Brito AM, Lima K, Lapa TM. Adherence to antiretroviral therapy among people living with HIV/AIDS in northeastern Brazil: a cross-sectional study. Sao Paulo Med J. 2019;137:479–485. doi: 10.1590/1516-3180.2019.0212170919. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Cantudo-Cuenca MR, Jiménez-Galán R, Almeida-González CV, Morillo-Verdugo R. Concurrent use of comedications reduces adherence to antiretroviral therapy among HIV-infected patients. J Manag Care Spec Pharm. 2014;20:844–850. doi: 10.18553/jmcp.2014.20.8.844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Elbur AI, Ghebremichael M, Konkle-Parker D, Jones DL, Collins S, Adimora AA, et al. Dual trajectories of antiretroviral therapy adherence and polypharmacy in women with HIV in the United States. AIDS Res Ther. 2023;20:29. doi: 10.1186/s12981-023-00520-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hashmi SK, Afridi MB, Abbas K, Sajwani RA, Saleheen D, Frossard PM, et al. Factors associated with adherence to anti-hypertensive treatment in Pakistan. PLoS ONE. 2007;2:e280. doi: 10.1371/journal.pone.0000280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Wang X, Li D, Gao M, Zhou Y, Guo C, Zhang T, et al. Factors associated with medication adherence for people living with acute HIV infection in a tertiary Chinese Hospital in Beijing. Biomed Res Int. 2021;2021:1078716. doi: 10.1155/2021/1078716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Jiao K, Liao M, Liu G, Bi Y, Zhao X, Chen Q, et al. Impact of antiretroviral therapy (ART) duration on ART adherence among men who have sex with men (MSM) living with HIV in Jinan of China. AIDS Res Ther. 2022;19:55. doi: 10.1186/s12981-022-00482-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Swindells S, Lutz T, Van Zyl L, Porteiro N, Stoll M, Mitha E, et al. Week 96 extension results of a Phase 3 study evaluating long-acting cabotegravir with rilpivirine for HIV-1 treatment. AIDS. 2022;36:185–194. doi: 10.1097/QAD.0000000000003025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Chounta V, Overton ET, Mills A, Swindells S, Benn PD, Vanveggel S, et al. Patient-reported outcomes through 1 year of an HIV-1 clinical trial evaluating long-acting cabotegravir and rilpivirine administered every 4 or 8 weeks (ATLAS-2M) Patient. 2021;14:849–862. doi: 10.1007/s40271-021-00524-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Arnsten JH, Demas PA, Farzadegan H, Grant RW, Gourevitch MN, Chang CJ, et al. Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: comparison of self-report and electronic monitoring. Clin Infect Dis. 2001;33:1417–1423. doi: 10.1086/323201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Mekuria LA, Prins JM, Yalew AW, Sprangers MA, Nieuwkerk PT. Which adherence measure - self-report, clinician recorded or pharmacy refill - is best able to predict detectable viral load in a public ART programme without routine plasma viral load monitoring? Trop Med Int Health. 2016;21:856–869. doi: 10.1111/tmi.12709. [DOI] [PubMed] [Google Scholar]
  • 40.Da W, Li X, Qiao S, Zhou Y, Shen Z. Evaluation of self-report adherence measures and their associations with detectable viral load among people living with HIV (PLHIV) in China. PLoS ONE. 2018;13:e0203032. doi: 10.1371/journal.pone.0203032. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

40780_2024_349_MOESM1_ESM.pptx (45.7KB, pptx)

Additional file 1: Supplemental Figure S1. Patient enrollment flowchart.

40780_2024_349_MOESM2_ESM.docx (33.9KB, docx)

Additional file 2: Supplemental Table S1. Antiretroviral therapy regimens included in the study. Supplemental Table S2. Comparison of PLWH with complete and incomplete ART adherence and their future ARV preferences.

Data Availability Statement

All data generated or analyzed during this study are included in this published article and its supplementary information files.


Articles from Journal of Pharmaceutical Health Care and Sciences are provided here courtesy of BMC

RESOURCES