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PLOS One logoLink to PLOS One
. 2026 Sep 30;21(9):e0320713. doi: 10.1371/journal.pone.0320713

“The injection gives freedom” - An exploration of long-acting injectable HIV treatment acceptance among patients seeking care in two Nairobi tertiary hospitals

Duncan Nyukuri 1,2,*,#, Melanie Abongo 1,‡, Anastacia Mbithi 2,‡, Christine Kundu 1,‡, Kenneth Mutai 1,‡, Reena Chhotala Shah 2,#
Editor: Habil Otanga3
PMCID: PMC13626336  PMID: 42814710

Abstract

Background

Long-acting injectable antiretroviral therapy offers an alternative to daily oral HIV treatment, potentially improving adherence and reducing stigma. While its adoption has been successful in some settings, evidence on its acceptability in sub-Saharan Africa, outside clinical trials, remains limited.

Methods

We conducted a mixed-methods study among people living with HIV (PLHIV) in two tertiary hospitals in Nairobi, Kenya—a public facility (Kenyatta National Hospital) and a private facility (Aga Khan University Hospital). A cross-sectional survey of 356 participants assessed awareness, willingness to switch, and predictors of acceptability. In addition, 30 participants took part in three focus group discussions (FGDs) exploring perceptions, concerns, and system-level considerations. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were analyzed thematically.

Results

Overall, 72.2% of survey participants indicated a willingness to switch to LAI-ART. In the final adjusted multivariable models, prior awareness of LAI-ART was a powerful independent predictor, nearly tripling a patient’s willingness to switch (aOR = 2.851; 95% CI: 1.742–4.666; p < 0.001). Finding information through online resources (aOR = 2.246; 95% CI: 1.303–3.873; p = 0.004) and missing oral pill doses (aOR = 2.154; 95% CI: 1.266–3.664; p = 0.005) both independently more than doubled a participant’s odds of finding LAI-ART acceptable. Conversely, the enrollment hospital site had no independent statistical effect on acceptability once the analysis controlled for baseline demographics and how often individuals must visit the hospital for care (aOR = 1.188; 95% CI: 0.659–2.141; p = 0.567). Drivers of interest among those willing to switch included reducing pill burden (77.8%), avoiding forgetting doses (55.6%), and improving privacy (45.5%). Despite high baseline acceptability, focus group discussions revealed a state of cautious optimism, driven by significant fears of potential side effects (68.1%), treatment rigidity, and logistical challenges such as travel and clinic access.

Conclusion

These findings suggest that although LAI-ART is widely viewed as a promising treatment option, its uptake will depend on effective patient-centered communication, increased awareness, trust in the intervention, and reliable service delivery. However, successful implementation in Kenya will require more than patient willingness alone. Health system readiness must be a central consideration, with implementation strategies focused on securing dependable drug supply chains, decentralizing access through county-level clinics, and strengthening digital systems to support patient monitoring, retention, and continuity of care.

Introduction

Long-acting injectable antiretroviral therapy (LAI-ART) offers a promising alternative to the daily pill regimen for treating HIV. Administered every two months, this innovative therapy could simplify treatment, improve patient adherence, and boost retention in care [1,2].

This is especially critical in sub-Saharan Africa (SSA), a region that carries two-thirds of the 40 million people living with HIV worldwide [3]. In Kenya, for example, where 1.4 million people are living with HIV [4], persistent adherence challenges are common due to factors such as pill burden, treatment fatigue, and stigma [5]. These issues are particularly pronounced among adolescents and young people, who often have significantly lower adherence rates than older adults due to heightened stigma and challenges during their transition to adulthood [6]. Consequently, there is an urgent need to explore new and creative strategies to address the unique challenges of the region.

Studies in high-income countries have shown that LAI-ART is as effective as daily oral therapy at maintaining viral suppression, and patient satisfaction is high [7–13]. In the US-based CUSTOMIZE implementation study, participants reported that 92% preferred injectable therapy over their previous oral regimen, and 97% indicated willingness to continue long-acting injections [14]. Despite its promise, real-world implementation presents significant challenges, including concerns about side effects, needle phobia, healthcare provider capacity, and access to healthcare infrastructure capable of supporting this regimen [12,15,16] Crucially, real-world data from outside clinical trials in high-income settings highlight notable discontinuation rates [17,18]. These premature treatment disruptions are frequently driven by injection-site reactions and other adverse events [17,18]. Understanding these implementation barriers is essential, as treatment non-adherence can lead to a resurgence in viral replication and treatment failure.

While there is compelling evidence from North America and Western Europe, there are significant data gaps in sub-Saharan Africa. A 2024 study in Uganda by Zakumumpa et found that 94% of participants in a demonstration project wanted to continue with LAI-ART [19]. However, the results may be biased since participants were already on the treatment. A South African study showed that while only 12% of adolescents and young people with HIV initially preferred LAI-ART, this preference increased to 66% among those who faced multiple adherence challenges like stigma and pill burden [20]. Research from the Dominican Republic, Tanzania, and a small 2018 study in Kenya also showed broad acceptance of LAI-ART, driven by the desire for reduced stigma and greater privacy [16]. A recent scoping review also found high acceptability for LAI-ART in sub-Saharan Africa, ranging from 63% to 98% [21]. Still, most of these studies were conducted among specific populations, like those in clinical trials or high-risk, HIV-negative individuals, which limits their broader applicability.

This study builds on prior work by examining the acceptability of LAI-ART among a more general population of PLHIV receiving care in two tertiary hospitals in Nairobi—one public and one private. Using a mixed-methods approach grounded in the Consolidated Framework for Implementation Research (CFIR) [22], we explore perspectives of patients currently on oral ART who have not yet used injectables. By addressing both individual and system-level factors, this study provides actionable insights to support equitable LAI-ART implementation in Kenya and similar settings across SSA.

Materials and methods

Study design

This was an exploratory mixed-methods study using a convergent parallel design, conducted to assess the acceptability of long-acting injectable antiretroviral therapy among people living with HIV in Kenya. A mixed-methods design was chosen to provide both breadth and depth in understanding LAI-ART acceptability. Quantitative data captured the extent and predictors of willingness to switch, while qualitative findings explained the underlying motivations, concerns, and contextual factors influencing these attitudes. Combining both approaches allowed for a more comprehensive understanding of patient perspectives than either method alone. Importantly, this was not a clinical trial; participants were not enrolled into any intervention arm, and no medications were administered.

Study site and participants

The study was conducted at two tertiary hospitals in Nairobi, Kenya: Aga Khan University Hospital (AKUH) and Kenyatta National Hospital (KNH). AKUH, a private not-for-profit institution, is a referral center offering specialized care. KNH is the largest public hospital in Kenya and a teaching facility for the University of Nairobi, supporting over 8,000 PLHIV in outpatient care.

The study was conducted at AKUH between December 14, 2023, and January 12, 2024, and at KNH between May 21, 2024, and July 9, 2024. Eligible participants were adults (≥18 years), currently receiving oral ART, and enrolled in HIV outpatient care at either facility. Participants were excluded if they had cognitive impairments, were acutely unwell, or could not communicate in English or Kiswahili.

Sampling and recruitment

Quantitative participants were selected using systematic random sampling from outpatient clinic attendance logs to achieve a representative sample. The sample size was calculated using Cochran’s formula for cross sectional studies [23] with a 95% confidence level and a 5% margin of error. The acceptability rate of 66%, which was used for the calculation, was derived from a South African study by Toska et al [20]. This study explored the acceptability of long-acting injectable LAI-ART among adolescents and young people living with HIV (AYLHIV) who were currently on oral therapy, and this prevalence was chosen because it yielded the largest sample size. This resulted in a minimum required sample size of 345 participants.

Participants who consented to participate in the survey were approached during clinic visits and invited to take part in focus group discussions. The participants were selected via purposive sampling based on gender, age, and clinic site to capture diverse perspectives.

Data collection procedures

Quantitative data.

The Consolidated Framework for Implementation Research (CFIR) guided the development of survey tools and focus group guides, and later informed the interpretation of qualitative themes to explore multi-level barriers and facilitators to LAI-ART adoption (20). A structured questionnaire was used to collect data on demographics, knowledge of LAI-ART, and attitudes toward injectable regimens. The data collection tool used had been developed and validated by Simoni et al [24] in a similar study conducted in Tanzania and the Dominican, and it was also based on CFIR constructs. Data were collected in person or via REDCap online survey links.

Qualitative data - Focus group discussions (FGDs).

Three FGDs were conducted, with 10 participants per FGD – the recommended number consisting of between 6 and 12 participants per group [25] – to foster open discussion. Discussions were held in private rooms at each study site and moderated by M.A, an experienced qualitative researcher in conducting FGDs, with no clinical relationship to participants. A semi-structured discussion guide covered themes such as LAI-ART awareness, perceived benefits and drawbacks, implementation concerns, and facility readiness. Sessions were audio-recorded with consent; field notes were not taken. Discussions continued until thematic saturation was reached. Thematic saturation was assessed by the point at which no new themes emerged during subsequent discussions

Data analysis

Quantitative analysis.

Survey data were analyzed using SPSS version 25. Both descriptive and inferential analyses were conducted. Participant characteristics were summarized separately for each study site (KNH and AKUH) and for the combined study population. Categorical variables, including demographic characteristics, social history, and medical history, were presented as frequencies and percentages.

Inferential analyses were undertaken in a stepwise manner. Initially, bivariate cross-tabulations were used to examine the distribution of LAI-ART acceptability across participant characteristics. Statistical significance was assessed using Pearson’s chi-squared (χ²) test of independence or Fisher’s exact test where appropriate. To quantify the magnitude and direction of these associations and support variable selection for multivariable analysis, univariable logistic regression was performed to estimate crude odds ratios (cORs) and their corresponding 95% confidence intervals (CIs).

Variables associated with the outcome at a p-value of <0.20 in the univariable analysis were considered for inclusion in multivariable models. Age, gender, and study site were retained in all multivariable models regardless of statistical significance because of their established clinical and epidemiological relevance.

Multivariable logistic regression was subsequently performed using an exposure-specific hierarchical modelling strategy. Four separate models were constructed to minimize intermediate-variable and overadjustment bias while allowing a more nuanced assessment of the factors associated with LAI-ART acceptability.

Model 1 examined socio-demographic characteristics, including age, gender, education level, and enrolment hospital. Model 2 assessed the association between prior awareness of long-acting injectables and acceptability while adjusting for socio-demographic characteristics. Model 3 evaluated specific information sources, including online platforms, healthcare providers, and peer support groups, while controlling for socio-demographic factors. Model 4 examined clinical and treatment-related factors, including frequency of hospital visits, self-reported adherence, missed doses, and perceived pill burden, with adjustment for socio-demographic characteristics.

Adjusted odds ratios (aORs) with 95% confidence intervals were reported for all multivariable analyses. Statistical significance was defined as a two-sided p-value < 0.05. Multicollinearity was assessed by examining coefficient stability and standard errors to ensure that highly correlated variables did not adversely affect model estimates.

Qualitative analysis.

Audio recordings from focus group discussions were transcribed verbatim. For each transcript, structured summary templates were completed using pre-specified domains derived from the CFIR (S1 Fig). Two independent coders (DN and CK) reviewed each transcript to identify blocks of text corresponding to relevant CFIR constructs. Data were aggregated across participants to facilitate comparison within and across domains. The two researchers discussed coding decisions, resolved discrepancies through consensus, and agreed on emergent themes. We did not return transcripts to participants for feedback or validation due to logistical and confidentiality constraints. However, the use of a structured summary template, independent dual coding, and consensus discussions enhanced the reliability and rigor of the analysis.

Integration of findings.

Quantitative and qualitative data were analyzed independently before being integrated during interpretation through triangulation to compare and explain convergent and divergent findings. The guidelines for Good Reporting of a Mixed Methods Study (GRAMMS), as shown in S1 Table, was used in integrating the findings of the qualitative and quantitative arms of the study (21). Results were jointly displayed to enhance understanding of complex, multi-level factors influencing LAI-ART acceptability.

Ethical statement

Ethical approval for this study was obtained from both the Kenyatta National Hospital–University of Nairobi Ethics and Research Committee (Approval No. P816/10/2023) and the Aga Khan University Institutional Research and Ethics Committee (Approval No. 2023/ISERC-50(v3)). All participants provided written informed consent prior to enrollment, after receiving detailed explanations of the study’s objectives, procedures, potential risks, and measures taken to protect confidentiality.

Participation was entirely voluntary, and refusal or withdrawal did not affect participants’ access to clinical care. Data were anonymized at the point of collection, and no personal identifiers were linked to survey or focus group responses. Focus group discussions were conducted in private rooms to safeguard participants’ privacy and minimize stigma-related risks. A trained, experienced and independent moderator facilitated the discussions in a manner sensitive to participants’ experiences. All findings are reported in aggregate to ensure that no individual can be identified.

Results

A total of 356 individuals living with HIV participated in the study, with a substantial majority receiving care within the public healthcare sector at Kenyatta National Hospital (KNH, 77.2%) compared to the private sector at the Aga Khan University Hospital (AKUH, 22.8%). Taken as a whole, the study population was predominantly female (59.0%), and the largest age bracket comprised individuals in their middle adult years between 40 and 49 years of age (32.3%). The vast majority of participants across both facilities were balancing familial and financial responsibilities; 61.2% were married, 81.7% were parents/guardians raising children, and 81.7% were actively employed. Social histories revealed relatively low rates of recreational substance use across the entire cohort, with only 5.6% reporting active cigarette smoking and 1.1% reporting regular recreational drug use. A comprehensive breakdown of these baseline characteristics is detailed in Table 1.

Table 1. Socio-demographics characteristics.

Characteristics Site
KNH AKUH Total
N % N % N %
Age group 20-29 29 10.5 * * * *
30-39 83 30.2 10 12.3 93 26.1
40-49 86 31.3 29 35.8 115 32.3
50-59 66 24.0 30 37.0 96 27.0
60+ 11 4.0 10 12.3 21 5.9
Gender Female 174 63.3 36 44.4 210 59.0
Male 101 36.7 45 55.6 146 41.0
Marital status Married 168 61.1 50 61.7 218 61.2
Separated/Divorced 16 5.8 12 14.8 28 7.9
Single 71 25.8 16 19.8 87 24.4
Widow(Er) 20 7.3 3 3.7 23 6.5
Living arrangement Alone 58 21.1 29 35.8 87 24.4
As A Couple 15 5.5 10 12.3 25 7.0
With Family 202 73.5 42 51.9 244 68.5
Has children No 46 16.7 19 23.5 65 18.3
Yes 229 83.3 62 76.5 291 81.7
Employment status No 51 18.5 14 17.3 65 18.3
Yes 224 81.5 67 82.7 291 81.7
Cigarette use No 256 93.1 80 98.8 336 94.4
Yes 19 6.9 1 1.2 20 5.6
Alcohol use No 223 81.1 59 72.8 282 79.2
Yes 52 18.9 22 27.2 74 20.8
Recreational drugs use No 272 98.9 80 98.8 352 98.9
Yes 3 1.1 1 1.2 4 1.1

*Cell suppressed (N < 5) to protect participant anonymity.

When we looked closer at the two hospital populations, several clear socio-demographic differences emerged that reflect the distinct socio-economic landscapes of public and private healthcare in Nairobi. The private cohort at AKUH was predominantly male (55.6% vs. 36.7% at KNH) and older, with more than a third of its patients sitting in the 50–59 age bracket (37.0% vs. 24.0% at KNH). Living situations also differed significantly between the two groups. While nearly three-quarters of KNH patients shared living arrangements with their families (73.5%), over a third of AKUH patients lived alone (35.8% vs. 21.1% at KNH).

The clinical profiles and treatment experiences of the participants, summarized in Table 2, mirror these demographic variations. The higher burden of age-associated metabolic comorbidities observed in AKUH cohort likely reflects its older average age. Specifically, AKUH patients experienced nearly quadruple the rate of diabetes mellitus (14.8% vs. 4.0% at KNH) and close to quadruple the prevalence of high cholesterol (12.3% vs. 3.3% at KNH). They also had significantly longer histories of living with HIV, with roughly half having managed their diagnosis for over a decade (49.4% vs. 29.1% at KNH). This extensive treatment history likely explains why nearly half of the AKUH patients had switched antiretroviral therapy (ART) regimens in the past, primarily due to cumulative drug tolerance issues (35.8% vs. 8.4% at KNH).

Table 2. Medical history.

Characteristics Site
KNH AKUH Total
N % N % N %
Hypertension No 233 84.7 64 79.0 297 83.4
Yes 42 15.3 17 21.0 59 16.6
Diabetes No 264 96.0 69 85.2 333 93.5
Yes 11 4.0 12 14.8 23 6.5
High cholesterol No 266 96.7 71 87.7 337 94.7
Yes 9 3.3 10 12.3 19 5.3
Psychiatric disorder/depression No 243 88.4 79 97.5 322 90.4
Yes 32 11.6 2 2.5 34 9.6
Duration HIV Treatment 1-5 Years 80 29.1 20 24.7 100 28.1
5-10 Years 63 22.9 15 18.5 78 21.9
I Prefer Not To Say 31 11.3 0 0.0 31 8.7
Less Than 1 Year 21 7.6 6 7.4 27 7.6
More Than 10 Years 80 29.1 40 49.4 120 33.7
Currently taking ART More Than Twice/Day 1 0.4 0 0.0 1 0.3
Once/Day 263 95.6 78 96.3 341 95.8
Twice/Day 11 4.0 3 3.7 14 3.9
ART treatment perception Complicated 23 8.4 6 7.4 29 8.1
Simple 252 91.6 74 91.4 326 91.6
Unmanageable 0 0.0 1 1.2 1 0.3
Adverse effects from ART Never 153 55.6 49 60.5 202 56.7
Major 2 0.7 4 4.9 6 1.7
Minor 120 43.6 28 34.6 148 41.6
ART treatment tolerance No 40 14.5 8 9.9 48 13.5
Yes 235 85.5 73 90.1 308 86.5
Missed ART doses Never 109 39.6 64 79.0 173 48.6
Regularly 6 2.2 0 0.0 6 1.7
Sometimes 160 58.2 17 21.0 177 49.7
Hospital visit frequency Every 2–3 Months 168 61.1 74 91.4 242 68.0
Every 6 Months 107 38.9 7 8.6 114 32.0
Partner aware of HIV status I Prefer Not To Say 17 6.2 5 6.2 22 6.2
No 96 34.9 23 28.4 119 33.4
Yes 162 58.9 53 65.4 215 60.4
Family aware of HIV status I Prefer Not To Say 15 5.5 1 1.2 16 4.5
No 127 46.2 48 59.3 175 49.2
Yes 133 48.4 32 39.5 165 46.3
Friends aware of HIV status I Prefer Not To Say 15 5.5 3 3.7 18 5.1
No 224 81.5 70 86.4 294 82.6
Yes 36 13.1 8 9.9 44 12.4
Colleagues aware of HIV status I Prefer Not To Say 14 5.1 4 4.9 18 5.1
No 247 89.8 68 84.0 315 88.5
Yes 14 5.1 9 11.1 23 6.5
ART Change
Effectiveness
I Don’T Know 3 1.1 6 7.4 9 2.5
No 231 84.0 63 77.8 294 82.6
Yes 41 14.9 12 14.8 53 14.9
ART change Tolerance I Don’T Know 3 1.1 6 7.4 9 2.5
No 249 90.5 46 56.8 295 82.9
Yes 23 8.4 29 35.8 52 14.6
ART change Adherence I Don’T Know 1 0.4 7 8.6 8 2.2
No 267 97.1 74 91.4 341 95.8
Yes 7 2.5 0 0.0 7 2.0

In contrast, the public sector cohort at KNH presented a very different set of daily clinical realities. KNH participants reported a noticeably higher burden of mental health struggles, with a 11.6% prevalence of documented psychiatric disorders or depression compared to just 2.5% among their private-sector counterparts. Most strikingly, their day-to-day experiences maintaining strict adherence to daily oral medication revealed substantial structural and behavioral vulnerabilities. A striking 60.4% of KNH patients acknowledged that they missed their daily oral pill doses either sometimes or regularly, whereas an overwhelming majority of AKUH patients reported perfect adherence (79.0% never missed a dose). These daily struggles persisted despite the fact that 91.6% of the entire study population described their current once-daily oral pill regimen as conceptually “simple” to understand. Finally, the structural rhythm of accessing care differed deeply between the institutions: 91.4% of AKUH patients had routine clinic visits scheduled closely every 2–3 months, whereas nearly 40% of KNH patients spaced their facility interactions further apart, visiting only once every 6 months.

Knowledge and acceptability of LAI-ART

As shown in Table 3, 65.2% of participants had prior knowledge of LAI-ART, most commonly from a healthcare provider (37.4%) or online resources (36.0%). Acceptability was high, with 72.2% expressing willingness to use LAI-ART. However, 17.4% reported they lacked sufficient information to decide, and 8.4% indicated they would not accept it.

Table 3. LAI-ART awareness & acceptability.

Characteristic Site
KNH AKUH Total
N % N % N %
Aware of LAI-ART No 99 36.0 25 30.9 124 34.8
Yes 176 64.0 56 69.1 232 65.2
Source of information Healthcare provider 102 37.1 31 38.3 133 37.4
Support group 59 21.5 11 13.6 70 19.7
Online resources 87 31.6 41 50.6 128 36.0
Other 1 0.4 2 2.5 3 0.8
Acceptability of LAI-ART I Am Not Sure 2 0.7 5 6.2 7 2.0
I Don’T Have Enough Information 42 15.3 20 24.7 62 17.4
No 25 9.1 5 6.2 30 8.4
Yes 206 74.9 51 63.0 257 72.2

Site differences were observed. Acceptability was higher at KNH (74.9%) compared to AKUH (63.0%). KNH participants were more likely to learn about LAI-ART from healthcare providers, whereas AKUH participants more frequently cited online sources.

Factors associated with acceptability of LAI-ART

To evaluate potential predictors of willingness to switch to a long-acting injectable regimen, a bivariate cross-tabulation screening was performed across all demographic, social, and clinical parameters collected in the study. Associations were evaluated using Chi-square tests of independence, with Fisher’s exact tests applied in instances where individual cell counts dropped below five. To quantify the unadjusted strength and direction of these baseline relationships, univariable logistic regression was utilized to calculate crude odds ratios (cOR). The complete statistical breakdowns, alongside these crude odds ratios with their 95% confidence intervals, are consolidated in S1 Table.

When we examined the socio-demographic factors, the primary clinic site where a patient receives care showed a statistically significant crude association with willingness to switch. Acceptability was notably higher among patients at KNH, compared to AKUH (74.9% vs. 63.0%; p = 0.035). Age also showed a clear generational pattern, with younger cohorts demonstrating the highest level of interest. Acceptability peaked at 80.6% among young adults aged 20–29 years and gradually declined to 57.1% among patients aged 60 years and older, although this difference did not reach statistical significance (p = 0.141). Other background demographics like gender (p = 0.124), marital status (p = 0.142), employment status (p = 0.230), and living arrangements (p = 0.069) did not show significant crude associations with acceptability. Similarly, social history factors like cigarette use (p = 0.822) and alcohol use (p = 0.902) had no notable impact. Looking at medical history and comorbidities, specific conditions like hypertension (p = 0.897), diabetes (p = 0.502), high cholesterol (p = 0.499), and psychiatric disorders (p = 0.323) did not significantly alter participant willingness to switch. Furthermore, historical treatment milestones, such as the total time since HIV infection (p = 0.507), duration of HIV treatment (p = 0.796), and whether a patient had previously changed regimens due to effectiveness (p = 0.806) or tolerance (p = 0.606), showed no meaningful baseline relationship with acceptability. Patterns of HIV status disclosure also had no apparent influence on attitudes toward LAI-ART. Whether a patient’s HIV status was known by a partner (p = 0.593), family member (p = 0.460), friend (p = 0.422), or colleague (p = 0.210), acceptability remained unchanged. In contrast, a patient’s daily relationship with their current oral pill routine and their access to information were highly significant predictors of treatment acceptability. Patients who felt their current daily regimen was structurally “complicated” were significantly more likely to find the injectable acceptable than those who viewed their routine as simple (p = 0.023). Likewise, patients who reported side effects showed higher willingness to switch (p = 0.035). Most notably, patients who acknowledged missing daily oral doses either sometimes or regularly demonstrated a highly significant crude preference for switching over to LAI-ART (p < 0.001). Finally, prior awareness of LAI-ART was strongly associated with greater acceptability (p < 0.001). Analysis of sources of information showed that participants who received information about LAI-ART from online sources were significantly more likely to accept the treatment option (p = 0.009). Exposure through peer support groups showed a similar trend and was associated with higher acceptability, although this relationship fell just short of statistical significance (p = 0.054). In contrast, learning about LAI-ART directly from healthcare providers was not associated with differences in acceptability, with attitudes distributed similarly across groups (p = 0.465).

Multivariable predictors of LAI-ART acceptability

To determine the independent predictors of long-acting injectable antiretroviral therapy acceptability and control for confounding without introducing intermediate-variable bias, we built four separate, exposure-specific multivariable binary logistic regression models. Following epidemiological principles, core baseline demographic factors (facility site, age group, and gender) were forced into all models to control for residual confounding, regardless of their statistical significance in the bivariate screening. A global “First” category setting was used for all variables in SPSS 25. This established our baseline reference comparison groups as the Aga Khan University Hospital (AKUH), female gender, the 20–29 age group, an absence of prior informational exposure (“No”), a current treatment perception of “Complicated,” and an absence of daily oral treatment barriers (“No”). The adjusted odds ratios (aOR), 95% confidence intervals (CI), and exact p-values for all four models are summarized in Table 4.

Table 4. Multivariable logistic regression models predicting the acceptability of LAI-ART (N = 356).

Predictor / Exposure Variable Model 1: Site, aOR (95% CI); p-value Model 2: Awareness, aOR (95% CI); p-value Model 3: Information source, aOR (95% CI); p-value Model 4: Clinical Experience, aOR (95% CI); p-value
Site (Ref: AKUH)
KNH 1.474 (0.846–2.568); p = 0.171 1.605 (0.902–2.857); p = 0.108 1.712 (0.958–3.058); p = 0.069 1.188 (0.659–2.141); p = 0.567
Gender (Ref: Female)
Male 0.725 (0.447–1.175); p = 0.191 0.740 (0.451–1.215); p = 0.234 0.747 (0.456–1.226); p = 0.249 0.713 (0.434–1.169); p = 0.180
Age Group (Ref: 20–29)
30–39 years 0.866 (0.311–2.411); p = 0.782 0.887 (0.311–2.530); p = 0.823 0.877 (0.310–2.482); p = 0.805 0.938 (0.327–2.691); p = 0.906
40–49 years 0.506 (0.189–1.354); p = 0.175 0.497 (0.181–1.364); p = 0.175 0.494 (0.182–1.346); p = 0.168 0.575 (0.209–1.581); p = 0.284
50–59 years 0.724 (0.263–1.994); p = 0.532 0.773 (0.274–2.177); p = 0.625 0.772 (0.276–2.158); p = 0.622 0.965 (0.337–2.762); p = 0.948
60 + years 0.382 (0.107–1.362); p = 0.138 0.374 (0.101–1.379); p = 0.139 0.406 (0.112–1.474); p = 0.171 0.580 (0.156–2.155); p = 0.416
Prior Awareness (Ref: No)
Yes — 2.851 (1.742–4.666); p < 0.001 — —
Online Resources (Ref: No)
Yes — — 2.246 (1.303–3.873); p = 0.004 —
Support Groups (Ref: No)
Yes — — 1.706 (0.865–3.363); p = 0.123 —
ART Perception (Ref: Complicated)
Simple — — — 0.354 (0.101–1.242); p = 0.105
Adverse Effects (Ref: No)
Yes — — — 1.388 (0.829–2.322); p = 0.212
Missed ART Doses (Ref: No)
Yes — — — 2.154 (1.266–3.664); p = 0.005

Model 1 tested the total independent effect of the enrollment facility site on treatment acceptability, intentionally leaving out downstream informational variables that could act as intermediates. Although our bivariate analysis showed that patients at KNH had a higher unadjusted rate of acceptability compared to AKUH (p = 0.035), this difference disappeared after multivariable control. When adjusting for baseline age and gender, enrollment at KNH was not significantly associated with acceptability (aOR = 1.474; 95% CI: 0.846–2.568; p = 0.171). This shows that the initial differences between the hospitals were actually driven by the different demographic backgrounds of their patient populations.

Model 2 looked at the total independent impact of general prior awareness about the injectable regimen. The multivariable model showed that prior knowledge was a powerful independent predictor of acceptability. Patients who already knew about LAI-ART had nearly triple the odds of finding it acceptable compared to those with no prior knowledge (aOR = 2.851; 95% CI: 1.742–4.666; p < 0.001). Within this model, the independent effects of the hospital site (p = 0.108) and male gender (p = 0.234) remained non-significant.

Model 3 included sources of information that were significant (online resources, p = 0.009) or marginally significant (peer support groups, p = 0.054) in the multivariate analysis. Finding information through online resources remained a strong independent predictor, more than doubling the odds of treatment acceptability (aOR = 2.246; 95% CI: 1.303–3.873; p = 0.004). Sourcing information from support groups trended positively but did not reach statistical significance (aOR = 1.706; 95% CI: 0.865–3.363; p = 0.123).

Model 4 evaluated the total independent effect of patients’ current oral ART treatment experiences on their willingness to switch to the injectable format. This model simultaneously entered treatment perception, a history of side effects, and patterns of missed doses. Patients who reported missing daily oral doses had more than double the adjusted odds of finding the long-acting injectable acceptable compared to those who never missed a dose (aOR = 2.154; 95% CI: 1.266–3.664; p = 0.005). Also. patients who experienced side effects from oral therapy had a 39% higher preference of LAIART compared to those who did not report any side effects, but this difference was not statistically significant (aOR = 1.388; 95% CI: 0.829–2.322; p = 0.212). Similarly, perceiving the current oral regimen as “Simple” was associated with lower odds of wanting to switch compared to those who viewed it as complicated, but this difference was not statistically significant (aOR = 0.354; 95% CI: 0.101–1.242; p = 0.105).

Preferences, advantages & disadvantages of LAI-ART

Among those willing to use LAI-ART, the majority favored longer injection intervals, with three months (27.2%) and six months (35.8%) being the most common choices (S1 Table). Preferences varied by site, with AKUH participants more likely to prefer two-monthly dosing, while KNH participants leaned toward six-monthly schedules.

The most frequently cited advantages were the ability to stop daily pill-taking (77.8%), to avoid forgetting doses (55.6%), and to reduce daily focus on HIV (50.2%) (S1 Table). Other benefits included improved privacy (45.5%) and the ability to “forget the disease” (37.0%).

The most common disadvantages were fear of side effects (68.1%), fear of injections (28.0%), and concerns about being treated as “guinea pigs” (17.9%) (S1 Table). Site differences emerged: AKUH participants were more likely to cite effectiveness and dose adherence as advantages, but also more frequently reported fear of side effects. In contrast, KNH participants more often valued privacy-related benefits and reported fear of injections.

Qualitative findings and integrated analysis

A summary of emergent themes and sub-themes across CFIR domains, along with illustrative quotes, is presented in Table 5.

Table 5. Emergent themes and sub-themes from qualitative analysis based on the CFIR.

CFIR Domain Theme Subtheme Illustrative Quote(s)
Individual Characteristics Knowledge and Beliefs Information gaps on side effects and efficacy “I wanted to ask… Maybe you can tell us if they have any side effects so that we get to know what to expect.” (FGD3 R1)
Positive perception of convenience and freedom “I heard they are coming to Kenya, and I prefer the injectable over oral because oral can be inconvenient in case you have visitors and you
fear taking the tablet. The injection gives freedom.” (FGD1 R2)
Concerns about medical and fertility impacts “What if they inject, and at the end of the day, I won’t be able to be productive?” (FGD2 R9)
Individual Stage of Change Varied readiness for adoption “If I’m honest, I won’t take injectable. I will take the tablets until it has been tested on others.” (FGD3 R7)
“Yes. It’ll be better to get injection, yes, than the tabs” (FGD1 R6).
Personal Motivation Desire to overcome stigma and pill burden “I’m saying even that injection, if it works well, it will be an advantage to the students, those who are in the schools. It will keep that secret; there won’t be any trauma then.” (FGD2 R7)
“It’s been an embarrassment I’ve gotten from taking the tablets. I’ve gotten the greatest shock. In as much as it has helped me, outside there when you get sick a little bit, people know.” (FGD 2R4)
Intervention Characteristics Perceived Advantages Convenience and improved adherence “I won’t forget, and it will help me keep time.” (FGD3 R7)“The injectables are good because you don’t have to worry until your next appointment.” (FGD3 R1)
Reduced pill burden “I prefer injections because swallowing tablets has always been a problem for me. If I had something like an injection, I will go for that than a tablet.” (FGD1 R5)
Fear of irreversible side effects “Suppose you get the side effects, is it reversible or will it continue that way? Is there any other back up? What can one do to remove the medicine which is in your body already?” (FGD1 R7)
“Will the injection affect my sleep or cause insomnia?” (FGD 3R4).
“You know we must know the side effects.” (FGD 2 R1)
“The body will get used to the side effects.” (FGD 3 R9).
Perceived Disadvantages Logistical inflexibility compared to oral ART “If I am injected in Kenyatta
and I travel to Western Kenya, what will I do if I can’t come back for my next injection?”
(FGD 2 R8).
“The disadvantage of injections is that with tablets you can carry extras and reschedule if you miss.” (FGD 3 R4).
“What I would like to know is if I skip the dates for my injection and I come two days later what will happen?” (FGD1 R1)
Inner Setting Healthcare Delivery System Need for continued support (reminders, education) “There was a reminder—they should use it again during injectables to help me to know dates and time. That would be the biggest support” (FGD3 R5)
“You know, when you’re at
this point when you’re doing transitioning, a lot happens. There are so many things like the side effects and other things. So, we need to have, uh, follow-up. Phones and follow-up” (FGD2 R7)
“The apps like the one we used to have that give information like weight, BMI, remind of dates, and also as we start you give us more clinics for feedback and more information” (FGD3 R8).
Concerns about resource availability and equity “Will it be available all the time and continuous?” (FGD3 R5)
“Also, this one, when it comes and let’s say it’s been accepted, it doesn’t have any side effects, does it mean every county we will be going? Just like how we get our ARVs even at the county levels” (FGD2 R5).
Safety and Monitoring “Before they inject, do they test
your blood??” (FGD 1 R5).
“Is it for everyone like, children, adults, those who have other conditions like pressure, diabetes?” (FGD3 R8)
“We need to know the manufacturer.” (FGD3 R3).
Outer Setting Societal Context Overcoming stigma from public pill-taking “For me injectable is okay, I am a housekeeper, I stay with my employer and our employers they don’t like people living with HIV, they think you might affect their children. When they realize you have the tablets, they will just throw you out and add more stigma, but for injectables I will be comfortable and it will help reduce stigmatization.” (FGD3 R1)
“These young ones, they feel shy walking with the drugs and they fear using them in front of people… we would prefer the injectable ones that one won’t feel shy anymore and you can go anywhere with it.,.” (FGD 2 R3)
“Sometimes you hide yourself when taking pills because people start asking ‘Why is she taking the pills?’ With injections, nobody will know why I am going for injection.” (FGD3 R5)
Impact of accidental disclosure on family “One time when my brother left and collected my belonging in my house and found my medicine, he left, took alcohol and came back. I felt like killing myself... Remember he is a brother and right now he has told everyone whom they are drinking alcohol with. Let me tell you, there is nothing as painful as that.” (FGD 2 R4)

Integration of findings

Convergence: Reinforcing survey data.

The Burden of Pills and Stigma: Survey data showed limited disclosure of HIV status: only 12.4% had disclosed to friends and 6.5% to colleagues. Also, nearly half (45.5%) cited the ability to hide treatment for privacy as a perceived advantage of LAI-ART. FGDs contextualized this, with participants describing stigma and discretion as strong motivations:

“I prefer the injectable over oral because oral can be inconvenient in case you have visitors and you fear taking the tablet. The injection gives freedom.” (FGD1, R2)

“For me injectable is okay, I am a housekeeper…our employers don’t like people living with HIV. When they realize you have the tablets, they will just throw you out and add more stigma, but for injectables I will be comfortable and it will help reduce stigmatization.” (FGD3, R1)

Fear and Distrust of New Treatments: Quantitatively, 68.1% cited fear of side effects, 28.0% feared injections, and 17.9% worried about being treated as “guinea pigs.” This lines up directly with the non-significant multivariable findings for oral side effects in Model 4 (p = 0.212), showing that current side effects are not what drives acceptability; rather, it is the fear of future, irreversible side effects from the injectable that creates hesitation. FGDs elaborated that the main concern was the irreversibility of long-acting drugs and the desire to see them proven safe first:

“If it has already been injected into the body and it has to stay for 3 months but you are very reactive, it will be difficult to stop—for example, allergies.” (FGD2, R1)

“If I’m honest, I won’t take injectable. I will take the tablets until it has been tested on others.” (FGD3, R7)

Adherence Motivation: In Model 4, objective clinical experiences emerged as a dominant independent driver of willingness to switch. Specifically, patients who reported missing their daily oral doses either sometimes or regularly had more than double the adjusted odds of finding LAI-ART acceptable compared to those with perfect adherence (aOR = 2.154, p = 0.005). The qualitative narratives perfectly matched this quantitative reality, highlighting that daily pill fatigue makes a long-acting option highly desirable:

“I prefer injections because swallowing tablets has always been a problem for me. If I had something like an injection, I will go for that than a tablet.” (FGD 1R5.)

“The injectables are good because you don’t have to worry until your next appointment.” (FGD 3 R1).

Divergence and nuance: Highlighting tensions

Cautious Optimism vs. High Acceptability: Although surveys showed 72.2% acceptability, qualitative data revealed this represented a form of cautious optimism rather than unconditional support. Many participants preferred a trial period to assess safety before committing long-term:

“I will take the injection for three months to weigh the side effects, then commit for a year if it reacts positively.” (FGD3, R1)

Convenience vs. Flexibility: Survey responses suggested broad willingness to use LAI-ART, but FGDs revealed concerns about reduced flexibility compared to oral ART, particularly when travel or missed appointments were involved:

“The disadvantage of injections is that with tablets you can carry extras and reschedule if you miss.” (FGD3, R4)

“If I am injected in Kenyatta and I travel to Western Kenya, what will I do if I can’t come back for my next injection?” (FGD2, R8)

System-Level Demands Beyond the Injection: Our final multivariable models isolated individual-level behaviors like information channels and adherence challenges as independent predictors of acceptability. However, the qualitative analysis brought to light systemic health infrastructure demands that a standard survey cannot easily capture. Participants noted that individual willingness means very little if the broader health sector is not prepared to guarantee decentralized access, drug continuity, and reliable follow-up systems:

“You know, when you’re at this point when you’re doing transitioning, a lot happens… So we need to have follow-up. Phones and follow-up.” (FGD2)

“…does it mean every county we will be going? Just like how we get our ARVs even at the county levels?” (FGD2, R5)

“Before they inject, do they test your blood?” (FGD1, R5)

Discussion

The main objective of this study was to assess the acceptability of long-acting injectable antiretroviral therapy (LAI-ART) and the socio-demographic and clinical factors associated with it among people living with HIV (PLHIV) receiving care at two tertiary hospitals in Nairobi, Kenya.

Overall, 72% of participants indicated a willingness to transition to an injectable regimen. This interest was largely driven by the prospect of reducing the burden of daily pill-taking, minimizing the risk of inadvertent HIV status disclosure, and overcoming challenges with adherence. However, enthusiasm for LAI-ART was not without reservations. Many participants expressed concerns about potential side effects, the inflexibility of scheduled clinic visits, and difficulties accessing injection services within their local communities.

In the exposure-specific multivariable models, the strongest independent predictors of acceptability were prior awareness of LAI-ART, obtaining information from online sources, and experiencing adherence difficulties such as missing daily oral doses. By contrast, the apparent association between care setting (public versus private sector) and acceptability disappeared after adjustment for confounders. This suggests that the initial difference between institutions was explained by underlying patient characteristics, particularly age, gender, and the extent to which individuals struggled with daily oral therapy (24–26)

When comparing our 72.2% acceptability rate with international data, it is important to distinguish between pre-implementation surveys and active demonstration projects. In high-income countries, where cabotegravir/rilpivirine is already integrated into routine care, uptake and satisfaction rates often exceed 90%, as shown in the US-based CUSTOMIZE study [14]. Similarly, a 2024 demonstration project in Uganda reported a 94% continuation preference [19]. However, direct comparison with these studies is misleading because participants in demonstration trials have already accepted injections, received intensive counseling, and benefited from subsidized logistics. Our study reflects a routine outpatient population in both public and private sectors before formal rollout of LAI-ART. In that context, the finding that nearly three-quarters of patients taking daily oral ART were willing to switch suggests a substantial unmet need for alternative treatment delivery options in urban African settings.

A contrasting pattern was reported by Toska et al in a South African study where only about 12% of adolescents and young adults initially preferred injectables [20]. This difference may reflect competing priorities across age groups. Adults in our cohort often viewed a bi-monthly injection as relief from treatment fatigue and pill burden, whereas younger people may perceive rigid clinic appointments as a threat to autonomy and a potential source of unintended disclosure.

Acceptability, therefore, is not a fixed biomedical measure. It is shaped by age, lifestyle, and social context. Importantly, the South African study also found that preference for injectables increased markedly among youth who faced multiple adherence barriers, reaching 66%. This aligns closely with our findings: in Model 4, adherence challenges independently doubled the odds of accepting LAI-ART (aOR = 2.154). Across different populations in sub-Saharan Africa, difficulty maintaining daily oral therapy appears to be a consistent driver of interest in long-acting alternatives.

Our qualitative findings add an important layer of interpretation. A high acceptability percentage does not mean patients are unconditionally ready to transition to injectables. Rather, many participants expressed cautious optimism. They welcomed the possibility of reducing daily pill-taking, but remained anxious about side effects, long-term commitment, and the practical realities of injection schedules.

Several focus group participants specifically requested a “trial period” to see how their bodies would respond before committing to long-term treatment. This helps explain why some participants in the quantitative survey said they did not yet have enough information to make a definitive decision.

The motivations underlying interest in LAI-ART also differed from those commonly reported in high-income settings. In North America and Western Europe, long-acting injectables are often valued for convenience, travel flexibility, and relief from the daily reminder of living with HIV [7–13]. In our study, as well as in research among female sex workers in Tanzania and the Dominican Republic, motivations were more deeply tied to social protection and survival [16,26]. Participants described oral pill bottles as visible symbols that could threaten employment, housing, education, or family relationships. For many patients in Nairobi, avoiding disclosure was not simply about convenience; it was about preserving dignity, safety, and social stability.

This broader social context also helps explain why the crude difference in acceptability between Kenyatta National Hospital (KNH) and Aga Khan University Hospital (AKUH) disappeared after multivariable adjustment. Initially, patients at KNH appeared more likely to accept LAI-ART. But after accounting for differences in age and gender distribution, hospital site was no longer significant. Patients in both settings shared similar concerns about the inflexibility of injection schedules. Oral ART allows patients to travel with extra medication, but injectable therapy requires timely clinic attendance. Fear of missing appointments while traveling or living away from the clinic was common across both public and private sector patients, suggesting that logistical concerns transcend institutional differences.

Another key finding was the strong role of information access. General prior awareness of LAI-ART nearly tripled the adjusted odds of willingness to switch. More specifically, obtaining information from online sources independently doubled the odds of acceptability, even after adjusting for age. This challenges the assumption that digital health information mainly influences younger patients. In our cohort, online searching appeared to offer a private and low-risk way for individuals to learn about new treatment options without exposing themselves to stigma or unwanted disclosure within clinic or family settings.

Finally, although patients struggling with daily adherence were especially motivated to switch to LAI-ART, implementation must be approached carefully. Evidence from high-income country rollouts shows that some patients discontinue long-acting regimens because of injection-site reactions or other adverse events [17,18]. In sub-Saharan Africa, the consequences of interrupted injectable therapy may be particularly serious because of the prolonged pharmacokinetic “tail” of these drugs, during which sub-therapeutic concentrations can persist for months after a missed dose [27]. Missing scheduled injections may therefore increase the risk of developing NNRTI and INSTI resistance mutations. This is especially important in Kenya, where NNRTI resistance is already a recognized programmatic concern [28]. For that reason, LAI-ART should not be viewed simply as a solution to oral non-adherence. Successful implementation will require strong system-level support, including appointment reminders, decentralized delivery options, reliable follow-up systems, and proactive tracing of patients who miss visits. Without these safeguards, the same adherence challenges that drive interest in injectables could also undermine their long-term effectiveness.

Strengths and limitations

This study has several notable strengths. It is among the first mixed-methods analyses of LAI-ART acceptability in Kenya, combining quantitative and qualitative data from both public and private tertiary facilities. Integrating the quantitative survey data with focus group discussions allowed us to see that high numerical acceptability actually represented cautious optimism rather than full readiness, providing a much deeper understanding of patient readiness than either method could achieve alone. In addition, the relatively large sample strengthens generalizability to similar urban populations.

However, our findings should be considered alongside some limitations First, the study was conducted exclusively at two tertiary hospitals in Nairobi, meaning the results may not fully represent patients seeking care in rural or lower-level facilities where system constraints differ. Second, because LAI-ART is not yet widely available in routine care in Kenya, reported willingness to switch is based on a hypothetical scenario and may not fully predict future uptake once available. Third, as a cross-sectional study, we captured patient perspectives at a single point in time, meaning we cannot account for how attitudes might change as patients get more exposure to the treatment or as national rollouts begin. Lastly, although our models successfully identified key predictors of interest, social desirability bias cannot be completely ruled out during the in-person surveys and focus groups.

Conclusion

In summary, while LAI-ART is highly acceptable, uptake will depend on raising awareness, addressing stigma, building trust, and ensuring system preparedness. Tailoring implementation to different patient populations and facility contexts will be key to realizing its promise as a transformative option for HIV care in sub-Saharan Africa.

Supporting information

S1 Fig. Conceptual Framework for Acceptability of LAI-ART using the Consolidated Framework for Implementation Research.

(DOCX)

pone.0320713.s001.docx (94KB, docx)
S1 Table. Supporting tables.

(DOCX)

pone.0320713.s002.docx (30.8KB, docx)
S1 File. Dataset.

(XLSX)

pone.0320713.s003.xlsx (73.1KB, xlsx)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Daniel Ogbuabor

9 Jul 2025

Dear Dr. Nyukuri,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Aug 23 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Daniel Chukwuemeka Ogbuabor, Ph.D., M.D.

Academic Editor

PLOS ONE

Journal Requirements:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf  and

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf

2. Please include your full ethics statement in the ‘Methods’ section of your manuscript file. In your statement, please include the full name of the IRB or ethics committee who approved or waived your study, as well as whether or not you obtained informed written or verbal consent. If consent was waived for your study, please include this information in your statement as well.

Additional Editor Comments:

In addition to the reviewers' comments, the authors should extend the inferential analysis of acceptability to a regression analysis. The authors should consider dichotomizing the acceptability (outcome) variable into "1 = Yes" and "0 = No, I do not have enough information, and I am not sure." The demographic characteristics, knowledge, and awareness variables will be the independent variables (predictors).

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

Reviewer #2: No

**********

2. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: No

**********

3. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: No

Reviewer #2: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

Reviewer #1: The focus by the authors on long acting injectable HIV treatment is important and presents a novel alternative to oral HIV treatment. Most data on the subject has been from North America and Western Europe. Data from Africa is sparse hence this study is welcome.

I have a few comments that I hope can help strengthen the current manuscript.

1. Please be explicit in indicating that this was NOT a clinical trial.

2. Introduction: I would be clearer in stating that most available data on LAI-ART is from the United States and Western Europe and hence data from Eastern and Southern Africa the epicentre of the HIV epidemic is needed.

3. Introduction: I would cite studies conducted on LAI-ART from Uganda, South Africa etc. There is insufficient landscape analysis of previous studies on LAI-ART even within SSA.

4. Introduction: I would include statistics on the state of adherence to ART. Which sub-populations have adherence constraints in Kenya? How about adolescents and LAI-ART?

5. Methods: The CFIR framework is only mentioned and not described. How did it help the authors?

6. Methods: the information on FGDs is scanty and needs to be fleshed out more. Why six FGDs? Did you consider gender, age group dynamics, marital status etc?

7. There is a missed opportunity of synergies between the qualitative and quantitative arms of the study. Please reflect on this.

8. Data analysis: please seperate the analysis plans for the quantitative and qualitative arms of the study. They muddled up in the current draft see a model/ benchmark from Kathryn Church (2015) on a study on integration of HIV and family planning published in PLOS ONE.

9. Page 13: the heading says Quantitative results when actually these are qualitative studies.

10. Presentation of qualitative illustrative quotes: it always more preferable to have indented quotes as stand-alone.

11.I would include a table of the emergent themes/ sub-themes as informed by CFIR framework.

Reviewer #2: The manuscript explores the acceptability of long-acting injectable antiretroviral therapy (LAI-ART) among people living with HIV (PLHIV) in Nairobi. The topic is highly relevant given the context of HIV in Sub-Saharan Africa and the advances in treatment with long-acting regimens. However, despite the relevance and merit of the topic, the manuscript presents substantial shortcomings in methodological rigor in both the quantitative and qualitative components, as well as significant weaknesses in the integration between methods.

Below are my comments:

1. The scientific contribution of the study is not clearly defined. The existing literature already includes similar studies (including in Kenya) on the acceptability of LAI-ART. The manuscript does not clarify what is new or which specific gap it is addressing.

2. CFIR Framework: The article mentions the CFIR, but does not demonstrate how the qualitative analysis was truly anchored in this framework—it appears more as a superficial citation than a genuine analytical foundation.

3. The manuscript claims to have employed “probability sampling” for the quantitative study, yet it does not provide:

a. A detailed method of random selection (e.g., simple random, systematic).

b. The formula or parameters used for sample size calculation.

c. A justification of statistical power, even though inferential tests were used.

4. The quantitative questionnaire is not provided as an appendix, and the text does not indicate whether it was previously validated, subjected to pre-testing/piloting, or based on previously validated scales to measure constructs such as acceptability, perception of stigma, or adherence.

5. The use of chi-square tests is reported, but there is no information about: checking assumptions (e.g. expected cell counts ≥ 5); adjustments for multiple comparisons; or confidence intervals for proportions or odds ratios. Several p-values are reported, but without clarity on whether they are adjusted, which increases the risk of false positives (Type I error).

6. The manuscript does not present fundamental assumptions for the validity of the qualitative findings, including:

a. Criteria for determining the sample size in focus groups.

b. Justification of theoretical saturation (it is not mentioned whether saturation was achieved).

c. Detailed description of the focus group discussion guides.

d. The experience and positionality of the moderator beyond merely being “trained.”

e. Reflexivity (how the researchers’ positions may have influenced the responses).

f. Processes of member checking (validation of findings by participants).

g. Details on coding (units of analysis, examples of codes).

7. The qualitative analysis is described as “thematic” but without demonstrating how categories were constructed (inductive or deductive); examples of how quotations were translated into codes and themes; agreement between coders (level of agreement or Kappa statistic), or the relationship between the qualitative data and the CFIR beyond a mere mention of its domains.

8. Integration Between Methods (Mixed Methods): This is the manuscript’s weakest point:

The article is described as a mixed-methods study, but:

It presents no explicit strategy for integrating the data (e.g. triangulation, side-by-side comparison, joint display tables).

The quantitative and qualitative results are entirely compartmentalized.

There is no analysis of convergence or divergence between the two data sets.

It is not explained how the qualitative findings could explain or deepen the quantitative findings.

→ This violates basic principles of mixed-methods studies (e.g. Good Reporting of A Mixed Methods Study – GRAMMS).

9. The manuscript’s discussion is overly focused on repeating descriptive data without delving into contradictions or tensions between findings, nor exploring the meaning of these results in the context of practical implementation of LAI-ART. Moreover, it lacks reflections on the implications these findings have for public health practices in Kenya, especially considering differences between the public system, represented by Kenyatta National Hospital (KNH), and the private sector, such as Aga Khan University Hospital. The statements about “high acceptability” also seem somewhat exaggerated, since about 20% of participants still expressed uncertainty or insufficient information, and most preferred longer intervals between injections than those offered by current regimens. Additionally, there are significant structural barriers—including issues of access, cost, and logistics—that may compromise the practical feasibility of large-scale implementation of injectable therapy.

10. Finally, there is excessive repetition of concepts (e.g. “LAI-ART reduces stigma”) throughout the discussion. The text requires greater objectivity and synthesis, particularly in the qualitative sections.

**********

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Reviewer #1: No

Reviewer #2: No

**********

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While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2026 Sep 30;21(9):e0320713. doi: 10.1371/journal.pone.0320713.r002

Author response to Decision Letter 1


25 Aug 2025

Date: 23 August 2025

To:

Dr. Daniel Chukwuemeka Ogbuabor, Ph.D., M.D.

Academic Editor

PLOS ONE

RE: Submission of Revised Manuscript, PONE-D-25-09653 - "The injection gives freedom"—An exploration of long-acting injectable HIV treatment acceptance among patients seeking care in two Nairobi tertiary hospitals"

Dear Dr Ogbuabor,

Thank you for the opportunity to revise our manuscript. We are also grateful to the reviewers for their time and for providing such insightful and constructive feedback. We have found the comments to be extremely helpful and believe that addressing them has substantially strengthened our paper.

We have performed a complete and thorough reanalysis of our data, which has yielded a more nuanced and robust set of findings. The manuscript has been extensively revised to incorporate these new results and to address every point raised by you and the reviewers.

Below, we provide a point-by-point response to each of the comments.

Response to Editor's Comments

Editor Comment 1: “Please include your full ethics statement in the ‘Methods’ section of your manuscript file. In your statement, please include the full name of the IRB or ethics committee who approved or waived your study, as well as whether or not you obtained informed written or verbal consent.”

Response: We have now included a dedicated subsection titled “Ethical Statement” within the “Materials and Methods” section. This statement provides the full names of the approving ethics committees (Kenyatta National Hospital-University of Nairobi ERC and the Institutional Research and Ethics Committee (IREC) of Aga Khan University) and confirms that all participants provided written informed consent.

Editor Comment 2: “In addition to the reviewers' comments, the authors should extend the inferential analysis of acceptability to a regression analysis. The authors should consider dichotomizing the acceptability (outcome) variable... The demographic characteristics, knowledge, and awareness variables will be the independent variables (predictors).”

Response: We have performed a comprehensive re-analysis as requested. The “Data Analysis” subsection of our Methods now details the full statistical plan. We conducted bivariate and multivariate logistic regression analyses to identify factors associated with LAI-ART acceptability for the combined cohort and stratified by hospital site. The full results of this new analysis, including both Unadjusted and Adjusted Odds Ratios, are presented in the revised Results section and the new Table 3. These findings are now a central part of our rewritten Discussion section.

Response to Reviewer 1 Comments

Comment 1: “Please be explicit in indicating that this was NOT a clinical trial.”

Response: We have now explicitly stated this in the Study Design subsection of the Methods: “Importantly, this was not a clinical trial; no medications were administered.”

Comments 2 & 3: “Introduction: I would be clearer in stating that most available data on LAI-ART is from the United States and Western Europe and hence data from Eastern and Southern Africa the epicenter of the HIV epidemic is needed. I would cite studies conducted on LAI-ART from Uganda, South Africa etc.”

Response: We have revised the Introduction to more clearly state that much of the pivotal data comes from high-income countries, and we have strengthened the landscape analysis of the growing literature from SSA, including citations from studies conducted in Uganda and South Africa.

Comment 4: “Introduction: I would include statistics on the state of adherence to ART. Which sub-populations have adherence constraints in Kenya?”

Response: We included adherence data, highlighting that adolescents and young adults in Kenya often show lower adherence due to stigma and transition challenges.

Comments 5 CFIR framework is only mentioned, not described.

Response: We expanded the Methods to explain how CFIR informed both the development of tools and the coding framework for qualitative analysis.

Comment 6: Methods: FGD details are scant. Why 3 FGDs? Were gender/age dynamics considered?

Response: We have also provided more detail on the FGDs, including the purposive sampling strategy and the fact that we continued until thematic saturation was reached.

Comments 7 Missed opportunity to show synergy between qualitative and quantitative data.

Response: We strengthened the Integration of findings section, explicitly using triangulation to highlight convergence, divergence, and complementarity between survey and FGD findings.

Comments 8: Data analysis for quantitative vs. qualitative is muddled. Separate them.

Response: The Data analysis section now has separate, clear subsections for the quantitative and qualitative analysis plans.

Comments 9: Wrong heading on page 13: qualitative results labelled as quantitative.

Response: The incorrect heading has been removed.

Comments 10 & 11: “Presentation of qualitative illustrative quotes: it always more preferable to have indented quotes as stand-alone. I would include a table of the emergent themes/ sub-themes as informed by CFIR framework.”

Response: We have reformatted all qualitative quotes as indented, stand-alone block quotes. We have also added a new Table 4 in the Results section, sub-section “Qualitative findings and integrated analysis”, which summarizes the emergent qualitative themes as informed by the CFIR framework, as requested.

Response to Reviewer 2 Comments

Comment 1: “The scientific contribution of the study is not clearly defined... The manuscript does not clarify what is new or which specific gap it is addressing.”

Response: We have revised the final paragraph of the Introduction to more clearly articulate the study's specific contribution: examining the acceptability of LAI-ART in a general population of PLHIV (as opposed to specific high-risk groups) and doing so across both the public and private tertiary healthcare sectors in Kenya, a comparison that is not well-represented in the existing literature.

Comment 2: “CFIR Framework: The article mentions the CFIR, but does not demonstrate how the qualitative analysis was truly anchored in this framework.”

Response: We have strengthened the link to the CFIR throughout the manuscript. The Methods section now clarifies its role in guiding the study, and a new Table 4 in the Results explicitly structures our qualitative themes according to the CFIR domains.

Comment 3 Probability sampling: not well explained.

Response: Methods now specify that survey participants were recruited using systematic random sampling from clinic logs. Sample size was calculated using Cochran’s formula (95% CI, 5% margin, prevalence 66% from Toska et al).

Comment 4: Questionnaire validation not described.

Response: Added that the survey was adapted from a validated tool by Simoni et al., used in Tanzania and the Dominican Republic.

Comment 5: Chi-square analysis assumptions unclear; p-values not adjusted.

Response: We now explicitly state that Chi-square assumptions were checked, Fisher’s exact used when cell counts <5, and p-values reported are unadjusted but interpreted cautiously.

Confidence intervals are reported for regression.

Comments 6 & 7: Comments on qualitative methodological rigor (sample size justification, coding, reflexivity.).

Response: We have expanded the qualitative methods subsection to provide much greater detail on our process. We now include justification for our sample size (thematic saturation), a description of the moderator’s experience, details on our dual-coder process to ensure reliability, and a note on using peer debriefing to validate our interpretations.

Comment 8: “Integration Between Methods (Mixed Methods): This is the manuscript’s weakest point... The quantitative and qualitative results are entirely compartmentalized.”

Response: The Results section has been completely restructured. It now features a dedicated subsection, “Qualitative Findings: An Integrated Analysis,” which systematically weaves the two datasets together. We explicitly present quantitative findings and immediately use qualitative quotes to explain them. This section is now framed around analyzing the convergence and divergence between the two data types.

Comment 9: “The manuscript’s discussion is overly focused on repeating descriptive data without delving into contradictions or tensions... Moreover, it lacks reflections on the implications these findings have for public health practices in Kenya, especially considering differences between the public system... and the private sector.”

Response: The Discussion section has been completely rewritten based on our new, more robust analysis. It no longer repeats results but focuses on interpreting the key findings, with a particular emphasis on the newly identified statistically significant difference in acceptability between the KNH (public) and AKUH (private) sites. We now discuss the tensions and paradoxes revealed by the integrated results and provide a much stronger section on the concrete implications for public health and implementation strategies in Kenya, considering the different healthcare settings.

Comment 10: “Finally, there is excessive repetition of concepts... The text requires greater objectivity and synthesis.”

Response: We have carefully edited the entire manuscript to improve clarity, objectivity, and synthesis and to eliminate repetitive phrasing.

We thank you and the reviewers again for your valuable guidance. We believe the manuscript is now substantially improved and hope that it is now suitable for publication in [Journal Name].

Sincerely,

Duncan Nyukuri (on behalf of all co-authors)

Attachment

Submitted filename: Response to Reviewers.docx

pone.0320713.s005.docx (26.9KB, docx)

Decision Letter 1

Daniel Ogbuabor

10 Sep 2025

Dear Dr. Nyukuri,

  • address the methodological changes and revised analyses advised.

plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Daniel Chukwuemeka Ogbuabor, Ph.D., M.D.

Academic Editor

PLOS ONE

Journal Requirements:

If the reviewer comments include a recommendation to cite specific previously published works, please review and evaluate these publications to determine whether they are relevant and should be cited. There is no requirement to cite these works unless the editor has indicated otherwise.

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

The revised manuscript is a significant improvement on the original version. Nonetheless, there are few methodological issues to resolve to get it to a publishable level.

1. Age group - I suggest merging 60-69 and 70-79 years into one category labelled 60 years and above.

2. Marital staus - merge 'divorced, separated and I prefer not say' into one category.

3. Employment status - Merge 'No' and 'I prefer not say group.'

4. The comparison (bivariate analyses) in Tables 1 and 2 are unnecessary, since the tables are meant to show descriptive statistics; and not inferential! If the significant variables from the two tables informed the multivariate logistic regression reported in Table 4, then the analysis was wrong. Please see my comment 5 for the correct statistical approach.

5. The author should conduct and report a cross-tabulation of acceptability of LAI (dependent variable) and independent variables (study site, age group, gender, marital status, living arrangements, has children, employment status, awareness of LAI and sources of information) with inferential analysis (Chi-square statistics and p-value). The independent variables that are statistically significant (p-value < 0.05) should be included in the multivariate binary logistic regression. The independent variables with significant odd ratios should be modelled to identify their adjusted odd ratios.

6. It is good practice to report the binary logistic regression results that include significant and insignificant results as well as the adjusted odd ratios for the significant variables.

7. Revise the results and discussion sections in the light of the methological changes and revised analyses.

[Note: HTML markup is below. Please do not edit.]

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2026 Sep 30;21(9):e0320713. doi: 10.1371/journal.pone.0320713.r004

Author response to Decision Letter 2


9 Oct 2025

Response to Editor’s Specific Comments

Comment 1. Age group

Implemented as advised. All tables and text now categorize participants ≥ 60 years under a single group.

Comment 2. Marital status

Categories merged into “Divorced/Separated/Not stated.”

Comment 3. Employment status

Implemented. The merged category “Not employed” now appears in Table 1 and corresponding results text.

Comment 4. Bivariate comparisons in Tables 1 and 2

All p-values and statistical comparisons were removed from Tables 1 and 2, which now display descriptive summaries only. Inferential analyses are relocated to a dedicated Table 3.

Comment 5. Cross-tabulation and selection of variables for logistic regression

A new Table 3: Cross-tabulation of Acceptability of LAI-ART by Participant Characteristics has been created, reporting Chi-square or Fisher’s exact p-values. Independent variables with p < 0.05 were entered into a multivariate binary logistic-regression model, the results of which are shown in Table 4.

Comment 6. Presentation of binary logistic regression results

The regression output has been expanded. Table 4 now displays both significant and non-significant predictors with Crude (OR) and Adjusted (OR) estimates, 95% CIs, and p-values. The narrative under Results → Predictors of Acceptability and the corresponding Discussion paragraph were updated accordingly.

Comment 7. Revise Results and Discussion in light of methodological changes

The Results and Discussion were revised to reflect corrected analyses and variable recoding.

Additional Note on Tables

To enhance clarity, most tables previously in the Supplementary Material have been moved into the main manuscript text:

- Former Supplementary Tables 1 and 2 are now Tables 1 and 2 (Demographics, Awareness & Acceptability).

- Cross-tabulation and regression outputs appear as Tables 3 and 4.

- Only S1 Table (GRAMMS Checklist) and S2 Table (Preferences, Advantages & Disadvantages of LAI-ART (Acceptors Only)) remain as supplementary materials.

Attachment

Submitted filename: Response to Reviewers v2.docx

pone.0320713.s006.docx (36.5KB, docx)

Decision Letter 2

Ilse Bloom

30 Apr 2026

Dear Dr. Nyukuri,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

The manuscript has been further evaluated by two reviewers, and their comments are available below.

In the previous round of review the Academic Editor had some comments on the statistical analysis. As they are no longer available, we have consulted a member of our statistical advisory board. This reviewer has raised major concerns regarding the statistical analysis conducted.

Could you please carefully revise the manuscript to address all comments raised?

==============================

Please submit your revised manuscript by Jun 14 2026 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

  • A letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

As the corresponding author, your ORCID iD is verified in the submission system and will appear in the published article. PLOS supports the use of ORCID, and we encourage all coauthors to register for an ORCID iD and use it as well. Please encourage your coauthors to verify their ORCID iD within the submission system before final acceptance, as unverified ORCID iDs will not appear in the published article. Only  the individual author can complete the verification step; PLOS staff cannot  verify ORCID iDs on behalf of authors.

We look forward to receiving your revised manuscript.

Kind regards,

Ilse Bloom

Staff Editor

PLOS One

Journal Requirements:

If the reviewer comments include a recommendation to cite specific previously published works, please review and evaluate these publications to determine whether they are relevant and should be cited. There is no requirement to cite these works unless the editor has indicated otherwise.

Additional Editor Comments:

Study design.

1.     Expunge the first paragraph of the study design, as this paragraph repeats the ethical statement.

2.     Expunge the 3rd paragraph of the study design, and move the different issues reported in the paragraph to the appropriate sub-sections of the methods’ section.

Methods

3.     The authors should expunge the statement related to bivariate logistic regression in the multivariable analysis under the quantitative analysis component of data analysis. To generate crude and adjusted odd ratios, you run multivariate binary regression in two stages. In the first stage, all significant results from the cross-tabulation (bivariate analysis) should be moved into the multivariate binary regression model to generate the crude odd ratios. All the variables with p-value less than 0.05 in the initial multivariate binary regression should be moved into the stage 2 multivariate binary regression model to generate the adjusted odd ratios.

Results

4.     Split sociodemographic factors and medical history into two tables.

5.     In all Tables that report frequencies and percentages, avoid repeating ‘%’ in all cells by denoting frequency (n) and percentage (%) in the title of the tables.

6.     Table 3 shows the results of your cross-tabulation of acceptability with 12 variables (bivariate analysis). However, Table 1 has 24 variables (SDF and medical history). The authors should include all 24 variables in the cross-tabulation; otherwise, justify their exclusion, or explain why they collected data that were not useful.

7.     See my comment number 3 in the methods’ section about multivariate binary logistic regression. Additionally, the authors should follow the standard reporting format for the results of multivariate logistic regression. Examples abound in the literature. It is not appropriate to report COR and AOR as done in Table 4.

Discussion

8.     The authors should start the discussion with a paragraph summarizing the objective of the study, the key findings and sets the tone for the discussion. For example: “The objective of the study was to determine the acceptability of LAI-ART and its associated factors in Kenya. The study found high acceptability driven high pill burden, adherence, and privacy. Yet, the finding of cautious optimism is concerning due to side-effects, treatment rigidity, and logistic challenges. The predictors of acceptability were site, level of awareness, and online resources of information. These significant findings warrant further exploration.”

9.     The authors should then proceed to discuss the one finding at a time – high acceptability, cautious optimism, influence of site, awareness, and online sources.

10.   The authors should integrate any new findings into the discussion when they have addressed the comments number 6 (inclusion of more variables in the inferential analysis).

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #3: All comments have been addressed

Reviewer #4: (No Response)

**********

2. Is the manuscript technically sound, and do the data support the conclusions??>

Reviewer #3: Yes

Reviewer #4: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?-->?>

Reviewer #3: Yes

Reviewer #4: No

**********

4. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #3: Yes

Reviewer #4: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #3: Yes

Reviewer #4: Yes

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Reviewer #3:  All editor and journal requirements have been comprehensively addressed. Age groups were consolidated, marital and employment categories merged, and bivariate comparisons removed from descriptive tables. New cross-tabulation (Table 3) and expanded regression (Table 4) tables were added with complete statistical outputs. Results and Discussion sections were revised accordingly. Key tables were moved from supplementary materials to the main text, and the GRAMMS checklist was added to enhance methodological transparency.

Reviewer #4:  This is an interesting survey study conducted at two tertiary hospitals in Nairobi, Kenya: a private hospital, the Aga Khan University Hospital (AKUH) and the largest public hospital in the same area Kenyatta National Hospital (KNH).

Data are somewhat informative as LAI-ART are and increasingly popular treatment option and there are not many similar studies in the low-income settings. However, I have a reservation regarding the quantitative analysis as well as other minor points. I am not an expert in qualitive research so I will not comment on those results or on those of the mixed analysis.

Major

1. Mine is one simple but fundamental critique. I do not particularly like the multivariable models that have been constructed. Essentially the authors constructed a model by including factors that were associated (i.e. p-value was <0.05) in univariable analysis. This approach has two major problems. Say we are interested in source of awareness of LAI-ART as the main exposure. Age is a potential confounder for this, as younger participants are more likely to have had the information from online sources and Table 3 also shows that younger age was also associated with higher rate of acceptability. Thus, a model which does not account for age is likely to over-estimate the OR for online resources (some of the effect may be explained by younger age). Same arguments apply for other potential confounders such as sex, etc. Conversely, the OR for the factor hospital in a regression model which also includes source of awareness of LAI-ART is difficult to interpret. Such a model (like the one shown in Table 4) can estimate at best what is the effect of site which is not mediated by the source of awareness type. Indeed, enrolment in AKUH seems to lead mainly to awareness due to online resources so that source of awareness is a potential intermediate in the relationship between hospital-site and rate of acceptability. It would be easier to have separate tables for each of the exposure of interest showing the total effect for all the exposures so they are directly comparable. In this example I suggest one Table for source of awareness as the exposure (showing unadjusted and adjusted OR from a model only including potential confounders of source of awareness: e.g. hospital, age, sex etc.) and separate tables for the total effect of hospital and for the total effect of awareness still controlling only for confounders. Thus, for example age is a confounder of both hospital and source of awareness while source of awareness is not a confounder for hospital (getting online information about LAI-ARI does not determine in which hospital the participant is treated), etc. What is the total effect of awareness (which was identified by the authors as a key predictor) after controlling for confounding (age, sex, etc.)?

2. The main inclusion criterion is that participants had to be on stable ART. However, the target population for LAI-ART would be people with current suppressed viral load. Do we know how many of the participants had elevated HIV-RNA despite ART?

Minor points

1. Introduction. “Long-acting injectable antiretroviral therapy (LAI-ART) offers a promising alternative to the daily pill regimen for treating HIV. Administered every two months, this innovative therapy could simplify treatment, improve patient adherence, and boost retention in care (1,2).” One key issue that was observed in people treated with LAI-ART in the western word -which is likely to occur also in low income settings- is the high rate of discontinuation because of intolerance at site of injection and long-term treatment fatigue. This discontinuations are also often associated with accumulation of NNRTI-resistance which will be an issue in Kenya. Suggest this is mentioned here and in the Discussion with appropriate references.

2. Nomenclature: Logistic regression model with a single outcome and a single covariate are called univariable model, not bivariate. Bivariate models are typically regression jointly modelling two outcomes.

3. Abstract. “These findings suggest that while LAI-ART is seen as promising, its uptake will depend on education, trust-building, and reliable delivery systems”. Assume “education” mainly refers to “prior awareness of LAI-ART” not level of education in general (e.g. university vs. elementary school) so it may need to be qualified.

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Reviewer #3: No

Reviewer #4: No

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PLoS One. 2026 Sep 30;21(9):e0320713. doi: 10.1371/journal.pone.0320713.r006

Author response to Decision Letter 3


29 Jun 2026

Dear Dr. Ilse Bloom and the PLOS ONE Editorial Board,

Thank you for the constructive and thoughtful feedback on our manuscript. We are grateful to the editorial team, the statistical advisory board member, and the peer reviewer for their valuable guidance. We have carefully addressed all concerns raised by the Editor and the reviewers.

In response to the key recommendations from the editor and Reviewer 4, we substantially revised our quantitative analysis strategy. Specifically, we replaced the original modelling approach with an exposure-specific hierarchical multivariable framework that appropriately accounts for baseline confounding by age, gender, and facility site while minimizing the risk of mediator and overadjustment bias. A detailed point-by-point response to each comment is provided below.

Response to Additional Editor Comments

Comment 1: Study Design Paragraph 1

Expunge the first paragraph of the study design, as this paragraph repeats the ethical statement.

Response:

We agree and have removed the repetitive opening paragraph from the "Study Design" subsection. Ethical considerations are now presented exclusively within the dedicated "Ethical Statement" section, improving both clarity and structure while eliminating redundancy.

Comment 2: Study Design Paragraph 3

Expunge the 3rd paragraph of the study design, and move the different issues reported in the paragraph to the appropriate sub-sections of the methods section.

Response:

We have removed the third paragraph from the "Study Design" section and redistributed its contents to the relevant methodological subsections. Information relating to data collection instruments, prior validation, and electronic data capture has been incorporated into the "Data Collection Procedures" subsection. Clarifications regarding data independence and qualitative thematic mapping have been relocated to the "Quantitative Analysis" and "Qualitative Analysis" subsections, respectively.

Comments 3 & 7: Quantitative and Multivariable Regression Re-modelling

The authors should expunge the statement related to bivariate logistic regression... Additionally, the authors should follow the standard reporting format for the results of multivariate logistic regression.

Response:

We greatly appreciate this statistical correction and have comprehensively revised both our terminology and reporting approach.

First, we have replaced the term bivariate logistic regression with the correct term, univariable logistic regression, when referring to models containing a single predictor variable.

Second, we have separated the reporting of unadjusted and adjusted associations in line with accepted reporting standards. Crude odds ratios (cORs), 95% confidence intervals, and univariable p-values are now reported within the screening analyses presented in Supplementary Table 2.

Finally, Table 4 has been reformatted to present only adjusted odds ratios (aORs), corresponding 95% confidence intervals, and exact p-values from the final exposure-specific multivariable models.

Comment 4: Splitting Descriptive Tables

Split sociodemographic factors and medical history into two tables.

Response:

We have divided the original combined table into two separate tables: Table 1 (Sociodemographic Characteristics) and Table 2 (Medical History).

Comment 5: Table Formatting Optimization

Avoid repeating '%' in all cells by denoting frequency (n) and percentage (%) in the title of the tables.

Response:

We have removed redundant percentage symbols from individual table cells throughout the manuscript. Frequencies and percentages are now clearly identified within the table headers and column titles.

Comment 6: Bivariate Scope Expansion

Table 3 shows the results of your cross-tabulation of acceptability with 12 variables... The authors should include all 24 variables...

Response:

We appreciate the request for greater transparency. All variables collected during the study are now formally evaluated in the screening analyses. The revised text discusses crude associations across demographic, social, and clinical domains. To maintain readability within the main manuscript, the complete cross-tabulation of all screened variables is provided in Supplementary Table S2.

Comments 8 & 9: Discussion Structure Optimization

The authors should start the discussion with a paragraph summarizing the objective of the study, the key findings and sets the tone for the discussion...

Response:

We have completely restructured the Discussion section to follow the recommended format. The section now opens with a concise summary of the study objective and principal findings before progressing through each major theme in sequence. These include overall acceptability, the theme of cautious optimism identified in the qualitative data, the attenuation of site-level differences after adjustment, the influence of prior awareness, and the role of online information sources.

Comment 10: Discussion Integration

The authors should integrate any new findings into the discussion when they have addressed comment number 6...

Response:

We have incorporated the expanded univariable and multivariable findings throughout the Discussion. Additional sections now examine how treatment complexity, adherence challenges, and other clinical factors influence patient preferences, with these quantitative findings contextualized using qualitative narratives from the focus group discussions.

Response to Reviewers' Comments

Reviewer 4

Major Comment 1: Addressing Overadjustment and Mediator Bias Through Exposure-Specific Modelling

Response:

We are grateful for this insightful epidemiological critique, which substantially strengthened the manuscript. We agree that the original saturated multivariable model risked introducing both overadjustment and mediator bias by simultaneously including variables that may lie along the causal pathway.

In response, we abandoned the single-model approach and adopted an exposure-specific hierarchical modelling framework. Four separate multivariable models were developed, each designed to estimate the total effect of a specific exposure while adjusting only for appropriate baseline confounders, namely age, gender, and facility site.

Model 1 examined the effect of facility site while controlling for age and gender. The previously observed institutional difference was no longer statistically significant (aOR = 1.188; 95% CI: 0.659–2.141; p = 0.567), indicating that the crude association was largely attributable to demographic differences between sites.

Model 2 assessed the effect of prior awareness of LAI-ART and demonstrated a strong independent association with acceptability (aOR = 2.851; 95% CI: 1.742–4.666; p < 0.001).

Model 3 evaluated specific information channels and showed that obtaining information from online sources independently doubled the odds of treatment acceptability (aOR = 2.246; 95% CI: 1.303–3.873; p = 0.004).

Model 4 focused on clinical experiences and treatment-related factors, demonstrating that adherence challenges and difficulties maintaining daily oral therapy were independently associated with increased willingness to switch to LAI-ART (aOR = 2.154; 95% CI: 1.266–3.664; p = 0.005).

Major Comment 2: Viral Suppression Target Population

Response:

This is an important clinical consideration. Our study was designed as a cross-sectional survey of routine outpatient attendees rather than a clinical trial or cohort study. Consequently, plasma HIV-RNA results were not systematically collected as part of the study dataset. However, participants were required to be on stable ART, and routine viral load monitoring is standard practice under Kenyan national treatment guidelines.

Minor Comment 1: Discontinuation Rates and NNRTI/INSTI Resistance

Response:

We agree that this is a critical issue for future implementation. The Introduction and Discussion sections have been expanded to include evidence from real-world LAI-ART programs documenting discontinuation due to injection-site reactions and treatment fatigue. We also discuss the implications of the prolonged pharmacokinetic tail associated with long-acting formulations and the potential for treatment interruptions to promote the emergence of NNRTI and INSTI resistance mutations, particularly in resource-limited settings.

Minor Comment 2: Regression Nomenclature

Response:

Thank you for highlighting this issue. We have reviewed the manuscript in its entirety and replaced all instances of "bivariate logistic regression" with the correct term, "univariable logistic regression."

Minor Comment 3: Abstract Clarification

Response:

We agree that the original wording could be misinterpreted. To improve clarity, we have replaced the term "education" with "patient-centered communication campaigns and increased awareness of LAI-ART." This more accurately reflects the informational and awareness-related factors identified in our findings rather than formal educational attainment.

We believe these rigorous enhancements fully resolve all peer-review comments and make our paper highly suitable for publication in PLOS ONE. We look forward to hearing your final decision.

Attachment

Submitted filename: Letter of Response to the Reviewers V4.pdf

pone.0320713.s007.pdf (184.8KB, pdf)

Decision Letter 3

Habil Otanga

10 Sep 2026

<p>“The injection gives freedom”— An exploration of long-acting injectable HIV treatment acceptance among patients seeking care in two Nairobi tertiary hospitals

PONE-D-25-09653R3

Dear Dr. Duncan Nyukuri,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Additional Editor Comments (optional):

I note that substantial revisions were done to the manuscript to improve its quality.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #5: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions??>

Reviewer #5: Yes

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3. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #5: Yes

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4. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #5: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #5: Yes

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Reviewer #5: Following earlier recommendations, I note that authors substantially revised their quantitative analysis strategy. They replaced the original modelling approach with an exposure-specific hierarchical multivariable framework that appropriately accounts for baseline confounding by age, gender, and facility site while minimizing the risk of mediator and overadjustment bias.

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Reviewer #5: No

**********

Acceptance letter

Habil Otanga

PONE-D-25-09653R3

PLOS One

Dear Dr. Nyukuri,

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Associated Data

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

    Supplementary Materials

    S1 Fig. Conceptual Framework for Acceptability of LAI-ART using the Consolidated Framework for Implementation Research.

    (DOCX)

    pone.0320713.s001.docx (94KB, docx)
    S1 Table. Supporting tables.

    (DOCX)

    pone.0320713.s002.docx (30.8KB, docx)
    S1 File. Dataset.

    (XLSX)

    pone.0320713.s003.xlsx (73.1KB, xlsx)
    Attachment

    Submitted filename: Response to Reviewers.docx

    pone.0320713.s005.docx (26.9KB, docx)
    Attachment

    Submitted filename: Response to Reviewers v2.docx

    pone.0320713.s006.docx (36.5KB, docx)
    Attachment

    Submitted filename: Letter of Response to the Reviewers V4.pdf

    pone.0320713.s007.pdf (184.8KB, pdf)

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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