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Effect of frequency of clinic visits and medication pick-up on antiretroviral treatment outcomes: a systematic literature review and meta-analysis

Review article

Effect of frequency of clinic visits and medication pick-up on antiretroviral treatment outcomes: a systematic literature review and meta-analysis

Tsitsi Mutasa-Apollo1,2, Nathan Ford3,4, Matthew Wiens5,6, Maria Eugenia Socias5,7, Eyerusalem Negussie3, Ping Wu5, Evan Popoff5, Jay Park5, Edward J. Mills5 and Steve Kanters5,6,§

§Corresponding author: Steve Kanters, Precision Global Health, 1505 West 2nd Ave #300, Vancouver, BC V6H3Y4, Canada. Tel: (778) 840-7727. (steve.kanters@precisionglobalhealth.com)

Abstract

Introduction: Expanding and sustaining antiretroviral therapy (ART) coverage may require simplified HIV service delivery strategies that concomitantly reduce the burden of care on the health system and patients while ensuring optimal outcomes. We conducted a systematic review to assess the impact of reduced frequency of clinic visits and drug dispensing on patient outcomes.

Methods: As part of the development process of the World Health Organization antiretroviral (ARV) guidelines, we systematically searched medical literature databases for publications up to 30 August 2016. Information was extracted on trial characteristics, patient characteristics and the following outcomes: mortality, morbidity, treatment adherence, retention, patient and provider acceptability, cost and patients exiting the programme. When feasible, conventional pairwise meta-analyses were conducted.

Results and discussion: Of 6443 identified citations, 21 papers, pertaining to 16 studies, were included in this review, with 11 studies contributing to analyses. Although analyses were feasible, they were limited by the sparse evidence base, despite the importance of the research area, and relatively low quality. Comparative analyses of eight studies reporting on frequency of clinic visits showed that less frequent clinic visits led to higher odds of being retained in care (odds ratio [OR]: 1.90; 95% CI: 1.212.99). No differences were found with respect to viral failure, morbidity or mortality; however, most estimates were favourable to reduced clinic visits. Reduced frequency of ARVs pick-ups showed a trend towards better retention (OR: 1.93; 95% CI: 0.626.04). Strategies using community support tended to have better outcomes; however, their implementation varied, particularly by location. External validity may be questionable.

Conclusions: Our systematic review suggests that reduction of clinical visits (and likely ARVs pick-ups) may improve clinical outcomes, and that they are a viable option to relieve health systems and reduce burden of care for PLHIV. Strategies aimed at reducing clinic visits or drug refill services should focus on stable patients who are virally suppressed, tolerant to their drug regimen and fully adherent. These strategies may be critical to the current changes taking place in HIV treatment policy; thus, due to the data limitations, further high quality research is needed to inform policy and programmatic interventions.

Keywords HIV Services; clinical visit frequency; antiretroviral therapy HIV/AIDS; systematic literature review; meta-analysis

To access the supplementary material to this article please see Supplementary Files under Article Tools online.

Received 7 November 2016; Accepted 19 April 2017; Published 21 July 2017

Copyright: © 2017 Mutasa-Apollo T et al; licensee International AIDS Society. This is an Open Access article distributed under the terms of the Creative CommonsAttribution 3.0 Unported (CC BY 3.0) License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction inany medium, provided the original work is properly cited.

Mutasa-Apollo T et al. Journal of the International AIDS Society 2017, 20:21647
http://www.jiasociety.org/index.php/jias/article/view/21647 | http://dx.doi.org/10.7448/IAS.20.5.21647

Introduction

The global scale-up of antiretroviral therapy (ART) has demonstrated major success by meeting the goal of 15 million people receiving life-saving ART in 2015 [1]. However, the full potential of increased access to ART is undermined by high rates of treatment interruptions and loss to follow-up following ART initiation [24]. In fact, recent estimates suggest that around half of patients are lost to care within four years of starting ART [5].

With trial evidence supporting initiation of ART as soon as possible following a positive HIV diagnosis, the pace of ART enrolment is likely to increase in the coming years [6,7]. ART is a life-long treatment that requires repeated laboratory monitoring and clinic visits, which can result in substantial costs for patients and healthcare systems. At the same time, people living with HIV (PLHIV) often face multiple competing needs and logistical challenges that impede their ability to adhere to frequent (often monthly) clinic visits, particularly for individuals who have to travel long distances and incur direct and indirect costs [8,9]. Meeting these two challenges, enrolling more people on ART while improving retention in care for people on ART, will require adaptations to existing service delivery models. Reducing the frequency of both clinic visits and ARV refills has been proposed as one way to increase service efficiency and simplify care delivery for the majority of people on ART who are stable on treatment and require limited clinical support [10].

In order to support the development of World Health Organization (WHO) guidelines for simplified ART care delivery, we systematically reviewed the evidence to assess the impact of reduced frequency of clinic visits and drug dispensing on patient outcomes.

Methods

Eligibility criteria

Following a pre-defined study protocol (Supplementary Appendix), we reviewed randomized trials, cohort studies, case control studies and cross-sectional studies among PLHIV comparing less frequent clinic visits and drug refills against standard of care (SOC), as defined by the study; to be as inclusive as possible, no frequency was set a priori for either the intervention or comparator. Inclusion criteria in the form of a PICOS statement are provided in Table 1. Complex interventions that described a broader service adaptation such as decentralization of care from clinics to community sites were eligible for inclusion provided the adaptation included reduced frequency of visits and/or drug refills. All studies published prior to August 30, 2016, the date on which the search was completed, were considered eligible.

Table 1. Scope of the literature review in PICOS form

Criteria Definition
Population

People living with HIV

Interventions

Less frequent clinic visits (intervals that are greater than the standard of care)

Less frequent antiretroviral, cotrimoxazole and/or isoniazid preventative therapy pick-ups (intervals that are greater than one month between pickups)

Comparator

Monthly clinic visits (or multiple visits per month)

Monthly antiretroviral, cotrimoxazole and/or isoniazid preventative therapy pick-ups (or multiple pick-ups a month)

Outcomes

Mortality

Morbidity

Treatment adherence

Retention (pre- and post-ART initiation)

Patient and provider acceptability

Cost (including opportunity costs)

Transfer out of programme

Study design Randomized controlled trials and observational studies

Search strategy

Using a broad search strategy (Supplementary Appendix), two reviewers (SK, MES) independently searched the following databases: EMBASE, MEDLINE and Cochrane Central Register of Controlled Trials. Conference abstracts provided through the EMBASE search, as well as the International AIDS conference, the annual Conference on Retroviruses and Opportunistic Infections, and the conference on HIV Pathogenesis, Treatment and Prevention (IAS) were also reviewed to determine if there were relevant studies that were recently completed. Additionally, hand searches of the bibliographies of published systematic reviews were performed.

Study selection and data extraction

The same two reviewers (PW and SK) independently scanned all abstracts and potentially eligible articles. Where discrepancies in judgements between reviewers occurred, a third reviewer provided arbitration (TMA). Using a standard data extraction sheet, information was extracted on study characteristics, patient characteristics and the following outcomes: mortality, morbidity (WHO Stage III–IV defining illnesses or opportunistic infections), treatment adherence, retention, viral failure (defined as having detectable viral load after being virally suppressed according to a study defined threshold), patient and provider acceptability, cost and transfers out of programme. Among the extracted study characteristics were study inclusion criteria, which were used to determine the functional definition of stable HIV, a key concept which varied from study to study (see Table 2). The three components to stable HIV were being above a CD4 threshold, being virally suppressed and being adherent to ART. Many studies, particularly in low-income settings, only required two of these components, but the underlying concept was that these were low-risk, experienced patients. Another key definition was the frequency. More and less frequent were study defined. It was not the actual frequency that mattered, but the relative reduction of frequency that was of interest here. As can be seen in Table 2, there was some overlap in some of the shorter and longer frequencies. For example, the Selke et al. [31] study went from one to three months, while many of the others went from three to six months. Hence, the three-month frequency represented more frequent for some studies, but less frequent for Selke et al.

The validity of individual trials was assessed using the risk of bias instrument, endorsed by the Cochrane Collaboration [11], and risk of bias for observational studies was assessed using the National Institute for Health and Clinical Excellence checklist for observational studies [12]. The overall quality of the evidence was assessed using the GRADE framework.

Statistical analyses

In situations with very limited data, a qualitative review was used as an alternative to quantitative analysis. When sufficient data were available for quantitative evidence synthesis, a conventional pairwise meta-analysis was employed using the DerSimonian–Laird random-effects model. The I2 measure was used to gauge the degree of heterogeneity. When adjusted values were provided, steps were taken into account for these data. All results were presented with accompanying 95% confidence intervals (CIs). All analyses were performed using R version 3.1.2 (http://www.r-project.org/).

Results and discussion

Of 6443 citations identified through the systematic searches, 73 papers were selected for full-text review and 21 papers, pertaining to 16 studies, met the inclusion criteria or provided sufficient information to be included in the qualitative review. The study selection process is summarized in Figure 1 and the list of studies included in the analyses is presented in Table 2.

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Figure 1. Flow chart of study screening. Note: The McGuire et al. study is included in both the clinic and drug refill frequency analyses. Therefore, 11 studies were included in the quantitative analyses.

Table 2. Characteristics of studies included in the principal systematic literature review

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Of the 16 included studies, 5 specifically investigated the role of reduced clinic visit and/or drug refill frequency [1318], while 11 involved a change in the frequency of clinic attendance along with health worker task-shifting [1931]. Table 2 presents study characteristics for the 11 studies that were included in the quantitative analysis. The five other studies were only available for qualitative purposes. Of the analysed studies, only two were not restricted to stable HIV patients and one of these was the Jaffar et al. [25] RCT.

Reduced clinical visit frequency: qualitative review

Three studies assessed reducing clinic visit frequency as the only programmatic change in a non-comparative fashion. Admittedly, the first study, conducted in the United States in the mid-1990s, is older and doesn’t apply to today’s HIV care climate. For this reason, it was not used in the meta-analysis component. It assessed different clinic frequencies (eight, sixteen or twenty-four weeks) within four randomized trials and concluded, based on missed drug toxicities, that reduced clinical care should not be recommended [16]. Importantly, these trials recruited patients with a mean baseline CD4 cell count of 46 cells/µL and took place when ART options were associated with greater frequency and severity of toxicity. More recently, a study conducted in Europe found that in clinically stable HIV patients (CD4 > 200 cells/mm3 and virally suppressed with no opportunistic infections), the risk of treatment failure was 1.6% (95% CI: 1.02.2) in the following six months and 3.6% (95% CI: 2.74.5) after twelve months [18]. Finally, a study conducted in London, England, found that reduced clinical visits through home medicine delivery led to comparable changes in CD4, viral suppression and adherence [15]. The latter two studies suggested that reduced clinical visit frequency might be a viable option for clinically stable HIV patients on a well-tolerated ART regimen.

Two randomized trials, a prospective cohort and a retrospective cohort reported on a number of decentralized care models that brought care to communities or homes by utilizing community health workers or peers to deliver care, which effectively minimized the number of required clinic visits [2527,31,32]. Importantly, these studies were not restricted to healthy, stable HIV patients but tended to be used by patients initiating ARV treatment.

Studies from the Democratic Republic of Congo, Malawi, Mozambique, South Africa and Haiti reported outcomes from community-based care for stable HIV patients that included less frequent clinic visits [2024,28,30,33]. In these models, patients are members of community groups who provide mutual adherence and social support and attend clinic services every three to six months to collect ART and receive a medical check-up. There are various models within this class. One is community-based adherence clubs (CACs), which are groups of up to 30 patients meeting every two months for less than an hour in order to pick-up their medication and have a basic health assessment by the club facilitator (a peer educator and/or lay counsellor) [20,23,24,28]. Another model is community ART groups (CAGs), which was first piloted in the Tete province of Mozambique [21,33]. These are much smaller groups (46 patients), with each patient taking turns to go to the clinic to obtain the ART refills for the entire group and to have a clinic visit with a healthcare professional. In doing so, the frequency of clinic visits is reduced from once per month to once every four to six months. There are no comparative studies between CAG patients and patients using SOC within the same health system. Although comparisons of results within CAGs are favourable compared to those of the general HIV care programme in Mozambique, these studies suffer from important selection biases [21,33]. The CAG model has now been expanded to other regions, with favourable results reported in Haiti [30].

Clinical visit frequency: quantitative synthesis

In total, eight studies informed the comparative analysis for frequency of clinic visits: three from Uganda, two from the USA and one from each Malawi, South Africa and Kenya [13,14,17,19,25,26,28,31]. These studies included 11,804 patients. Visit frequencies were classified as either frequent (usually every three months, sometimes monthly) or not frequent (generally every six months). One study compared the proportion of patients retained in care within the program participants to the proportion among eligible non-participants. However, there was no information on sample size for the eligible non-participators, and this was conservatively estimated to be one-tenth of the participants of the intervention [17,20].

Results are summarized in Figure 2. Mortality was comparable between groups with an odds ratio (OR) of 1.12 (95% CI: 0.602.10). Most of the events occurred in two randomized trials [17,25,26], which enrolled patients at treatment initiation rather than patients proven to be clinically stable. Consequently, patients tended to have a lower baseline CD4 at enrolment (median CD4 < 150 cells/mm3 across all arms), but no mortality differences in outcomes were reported between the different strategies in these trials. One study, from South Africa, reported a statistically significant reduction in mortality (1 death among the 502 patients in community clubs vs. 39 among 2327 patients in clinic care) [28]. No other study had an estimate suggesting a protective effect of reduced frequency of clinical visits.

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Figure 2. Meta-analysis results comparing less frequent to more frequent clinic visits. Events for mortality were all cause; morbidity events were defined as developing a WHO Stage III–IV defining illness or opportunistic infection; retention events were persons completing a study period without discontinuation; adherence events were patients meeting the study defined adherence (>95% of pills taken, say); viral failure events was defined as a patient having detectable viral load after being suppressed.

Morbidity was poorly reported, with three studies reporting changes in morbidity and only two contributing to the analysis because the third study included no events. Although the meta-analysis results tend towards a protective effect of less frequent clinic visits (OR: 0.61; 95% CI: 0.351.05), these results are driven by a single study [19]. In this study, the proportion of patients with an opportunistic infection (the marker of morbidity) was 6.6% in the pharmacy only refill program and 12.4% in the SOC program. However, the proportion of participants with opportunistic infections at baseline was imbalanced between the two arms (5.9% vs. 13.9%), which raises concern on the potential for selection bias.

Using a random-effects approach, less frequent clinic visits led to higher odds of being retained in care (OR: 1.90; 95% CI: 1.212.99). All five studies had an estimate in favour of reduced clinic visit frequency, with the home-based studies having the smallest estimated effect sizes. Although the fixed-effects model for adherence suggested a significant improvement amongst less frequent visit groups, the analysis suffered from high heterogeneity, and therefore random-effects model was selected. Note that results of analyses among CAC patients could not be synthesized with these data because they were presented as hazards ratios, but these did provide strong evidence that the risk of loss to follow-up was lower in patients with reduced clinical visits (hazard ratio: 0.38; 95% CI: 0.320.45). In this model, lower clinic visit frequency was associated with a non-statistically significant increase in adherence (OR: 2.00; 95% CI: 0.537.60).

The analysis of viral failure was also non-significant with high heterogeneity. One randomized trial, which reduced frequency of clinic visits with no other concurrent intervention (in a developed country setting), showed a strong increase in the odds of viral failure in those with reduced frequency of clinic visits [13], while another study, using adherence clubs to reduce frequency of clinic visits in a South African setting, showed a reduced odds of viral failure [28].

Drug refill frequency

Three studies were included in the evidence base on drug refill frequency [17,23,29]. One study evaluated adherence, one evaluated viral failure/mortality and two evaluated retention. A small study from Spain comparing one month to three-month drug refill found that both groups achieved high levels of adherence (97%) [29]. Another study, from South Africa, reported on the effect of drug refill frequency (two vs. four months) on viral failure and mortality within select CACs [23]; this study found no statistical difference between groups with respect to either viral failure (OR: 1.03; 95% CI: 0.601.78) or mortality (no events), although the duration of observation only spanned four months.

In the current meta-analysis, there was a trend towards better retention among patients who received less frequent drug refills (OR: 1.93; 95% CI: 0.626.04) (Figure 3). One study, from Malawi [17], showed a strong effect, but the intervention comprised both reduced drug refill and clinic visits, making it difficult to independently assess each intervention. Nevertheless, in combination, these interventions resulted in a profound increase in overall retention, among those eligible for the intervention. In contrast, a study from South Africa showed no significant retention benefit among those with less frequent drug refills, although the period of observation was likely too short for any meaningful comparison between the two and four-month refill groups [23].

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Figure 3. Meta-analysis comparing retention among patients with less frequent drug refills and more frequent drug refills. Note: Odds ratios of more than one favour less frequent visits (experimental) and odds ratios below one favour more frequent visits (control).

Quality of the evidence

The quality of evidence for frequency of clinic visits was rated as very low to low due to bias, principally due to a lack of adjustments for selection bias, and inconsistency. The complete GRADE tables are provided in the Supplementary Appendix. The different approaches to reducing frequency (with and without restrictions on clinical stability; with and without the addition of non-clinical services) were considered, but no meta-regression was possible given the sparseness of the data.

Although in the early stages of the ART scale-up, many patients presented with advanced disease progression, the proportion of late diagnosis and late presenters has progressively improved over time [5]. Around half of the 15 million people who have initiated ART did so over four years ago [1,18]. With an increasing number of PLHIV on ART and progressively earlier treatment initiation thresholds, alternative strategies to provide quality care are needed. Frequent clinic visits are important for patients who present with advanced disease and become clinically unstable on treatment but appear to be of less benefit to clinically stable HIV patients [18].

The relatively high degree of clinical heterogeneity between studies highlights the need to consider the particular health system context in which these studies were implemented. In South Africa, community adherence groups were initiated in response to growing congestion and decreasing clinic retention. Patients considered to be clinically stable were given the opportunity to join community adherence groups, which not only decreases clinic congestion but also decreased mortality and viral failure rates [23,24,28]. On the other hand, in a study in the USA, where stable, adherent PLHIV either visited a clinic every three months or every six months, over a period of two years, there was a trend towards worse virological outcomes in the three-month group [14]. Further, observed differences among studies included in this review might be explained by different strategies used to reduce clinic visit frequency (e.g. clinically stable HIV patients, clinically stable HIV patients with increased community support and increased community support regardless of clinical stability). As expected, results were consistently better among studies both requiring clinical stability and providing increased support, which allows for continued monitoring of patients outside the clinic environment. Differences in health systems only partially explain the high heterogeneity observed in the meta-analyses. As was presented, there were notable differences in baseline characteristics that could not be adjusted for via meta-regression using covariates due to the small number of studies found in this review.

This review is subject to several limitations. First, the majority of studies were observational and are subject to varying degrees of bias, the most important being selection bias in the form of selective inclusion of patients for the delayed clinic visits or drug refills. Since the comparator groups in some cases consisted of subjects less likely to be adherent or stable, reliable inferences become difficult and this limitation was reflected within the GRADE assessment. Second, the study may suffer from publication bias given that the evidence base was relatively small and that negative studies may be less likely to be published. Nonetheless, to this end, it is somewhat comforting that so few of the studies were retrospective in nature. Third, with respect to external validity, it is unlikely that these results extend beyond patients that are clinically stable. Fourth, the location of included studies varied, and the application of any strategy to reduce clinic visits or drug refills must be considered within a local context. Fifth, a large amount of heterogeneity was due to distinct general strategies employed in these studies: reduction of clinic or drug refill frequency without compensation based on clinical stability, reduction of clinic or drug refill frequency through increased community support based on clinical stability and reduction of clinic or drug refill frequency through increased community support without the requirement that patients are clinically stable. Finally, in some cases, the retention outcome was directly related to the intervention because less frequent visits lead to more occasions by which to identify that a person is lost to follow-up.

Strengths of this review include a rigorous literature review process, and pre-specified analytic techniques using random-effects models that helped account for some of the heterogeneity observed between studies. Although many studies included retrospective cohort studies and programme evaluations and were subject to important biases not seen in randomized trials, they nevertheless were relatively free from the artificial interventional nature often characteristic of randomized trials. These studies, therefore, can be viewed as closer to programmatic experience.

Assessment of the field

The findings of this review suggest that a reduced burden of care by reducing clinic visits may lead to improved outcomes, notably improved retention in care, and possibly also adherence, with no observed evidence of harmful effects. Reducing the frequency of drug refills also appeared to improve outcomes, although the evidence base was more limited. The limited evidence base for both these strategies certainly restrains the strength of the conclusions that can be drawn from these findings, but the positive trends indicate that well-designed studies to properly assess these knowledge gaps would be a worthwhile endeavour. Further studies could also be tailored to answer more specific questions. The CAG model has shown promising results on a new continent (from Africa to America), but further studies could be used to determine the external validity of all reduction models. Research could also be used to better understand who to target and who benefits. A better understanding will also come from experience beyond the study level. We have discussed a variety of models, such as CAGs and CACs, that have shown benefits when conducted within a study, or with the assistance of organizations such as Médecin sans Frontiere, but it remains to be seen how such programs might work at a national level. These models are not without their potential pitfalls.

Reducing the frequency of clinic visits has potential benefit to the health systems that are overburdened in many high prevalence settings. Not only is it feasible, but it may also be more feasible than the status quo. The 2013 WHO Consolidated ART Guidelines recommended task shifting both within the healthcare system, and also to community peers [34]. Thus, community-based interventions to support reduction in clinic visits may be seen as an extension of this prior recommendation. Reducing the frequency of drug refill, however, is logistically complex and requires a more medications to be dispensed during each visit, in turn requiring additional inventory. Given the reality of stock-outs in the current environment of many resource limited countries, decisions on frequency of ARVs pick-ups should be tailor-made to match existing local capacity for medicine supply chain [35].

Conclusions

In conclusion, this systematic literature review found that reduced frequency of clinic visits and drug refills may lead to improvements in program retention and patient outcomes among PLHIV. Strategies aimed at reducing clinic visits or drug refill services should focus on stable HIV patients who are virally suppressed, tolerant to their drug regimen and fully adherent. Further high-quality research aimed specifically at providing evidence about the optimal frequency of clinic visits and ART refills, and the approaches most suitable for frequency modifications (community based vs. facility based) in different settings will be critical to inform policy and programmatic interventions.

Authors affiliations

1College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe; 2AIDS and TB Unit, Ministry of Health and Child Care, Harare, Zimbabwe; 3Department of HIV/AIDS, World Health Organization, Geneva, Switzerland; 4Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa; 5Precision Global Health, Department of Health Analytics, Vancouver, Canada; 6School of Population and Public Health, University of British Columbia, Vancouver, Canada; 7Interdisciplinary Graduate Program, University of British Columbia, Vancouver, Canada

Competing interests

We declare that we have no conflicts of interest.

Authors contribution

Steve Kanters takes responsibility for the integrity of the data, the accuracy of the data analysis and the final decision to submit for publication. Study concept and design: Mutasa-Apollo, Kanters, Mills and Ford. Acquisition, analysis or interpretation of data: Mutasa-Apollo, Kanters, Wu, Socias, Popoff and Park. Drafting of the manuscript: Mutasa-Apollo, Kanters, Socias and Ford. Critical revision of the manuscript for important intellectual content: All authors. Statistical analysis: Kanters, Ford and Popoff. Obtained funding: Mills. Administrative, technical or material support: Mutasa-Apollo, Kanters, Ford and Mills. All authors have read and approved the final version.

Acknowledgements

The authors would like to thank the WHO guideline development group for their support and critical feedback: http://www.who.int/hiv/mediacentre/news/ARV-gdg2015/en/.

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