Impact of Community-Based DOT on Tuberculosis Treatment Outcomes: A Systematic Review and Meta-Analysis

HaiYang Zhang; John Ehiri; Huan Yang; Shenglan Tang; Ying Li

doi:10.1371/journal.pone.0147744

Abstract

Background

Poor adherence to tuberculosis (TB) treatment can lead to prolonged infectivity and poor treatment outcomes. Directly observed treatment (DOT) seeks to improve adherence to TB treatment by observing patients while they take their anti-TB medication. Although community-based DOT (CB-DOT) programs have been widely studied and promoted, their effectiveness has been inconsistent. The aim of this study was to critical appraise and summarize evidence of the effects of CB-DOT on TB treatment outcomes.

Methods

Studies published up to the end of February 2015 were identified from three major international literature databases: Medline/PubMed, EBSCO, and EMBASE. Unpublished data from the grey literature were identified through Google and Google Scholar searches.

Results

Seventeen studies involving 12,839 pulmonary TB patients (PTB) in eight randomized controlled trials (RCTs) and nine cohort studies from 12 countries met the criteria for inclusion in this review and 14 studies were included in meta-analysis. Compared with clinic-based DOT, pooled results of RCTs for all PTB cases (including smear-negative or -positive, new or retreated TB cases) and smear-positive PTB cases indicated that CB-DOT promoted successful treatment [pooled RRs (95%CIs): 1.11 (1.02–1.19) for all PTB cases and 1.11 (1.02–1.19) for smear-positive PTB cases], and completed treatment [pooled RRs (95%CIs): 1.74(1.05, 2.90) for all PTB cases and 2.22(1.16, 4.23) for smear-positive PTB cases], reduced death [pooled RRs (95%CIs): 0.44 (0.26–0.72) for all PTB cases and 0.39 (0.23–0.66) for smear-positive PTB cases], and transfer out [pooled RRs (95%CIs): 0.37 (0.23–0.61) for all PTB cases and 0.42 (0.25–0.70) for smear-positive PTB cases]. Pooled results of all studies (RCTs and cohort studies) with all PTB cases demonstrated that CB-DOT promoted successful treatment [pooled RR (95%CI): 1.13 (1.03–1.24)] and curative treatment [pooled RR (95%CI): 1.24 (1.04–1.48)] compared with self-administered treatment.

Conclusions

CB-DOT did improved TB treatment outcomes according to the pooled results of included studies in this review. Studies on strategies for implementation of patient-centered and community-centered CB-DOT deserve further attention.

Citation: Zhang H, Ehiri J, Yang H, Tang S, Li Y (2016) Impact of Community-Based DOT on Tuberculosis Treatment Outcomes: A Systematic Review and Meta-Analysis. PLoS ONE 11(2): e0147744. https://doi.org/10.1371/journal.pone.0147744

Editor: D William Cameron, University of Ottawa, CANADA

Received: June 2, 2015; Accepted: January 7, 2016; Published: February 5, 2016

This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

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

Funding: This project was funded by the National Natural Science Foundation of China (Award # 81001297) and Social Science and Technology Innovation Subject in Chongqing (cstc2015shmszx0099).

Competing interests: The authors have declared that no competing interests exist.

Introduction

Despite the overall global decline in tuberculosis (TB) incidence and mortality, the disease remains the second leading cause of death from infectious diseases globally, just after HIV/AIDS [1]. Global tuberculosis report in 2014 estimated that there were 9.0 million TB cases and 1.5 million TB mortalities in 2013 [1]. The emergence of multidrug-resistant (MDR) TB and extensively drug-resistant TB has further heightened the public health importance of TB control efforts. There is concern that the estimated 2012 global incident cases of MDR-TB of 450,000 and mortality of 170,000 may only represent about one-third of actual cases of MDR-TB [1]. Drug resistance primarily arises from poor treatment adherence or incorrect drug usage. Early diagnosis of patients and rapid initiation of effective therapy are essential in the prevention of MDR-TB [2].

The effective TB control policy recommended by the World Health Organization (WHO) is Directly Observed Therapy, Short-course (DOTS) [3]. Directly observed treatment (DOT) is the key component of DOTS [3]. DOTS supervisors are required to encourage and observe patients swallow their anti-TB drugs during the course of their treatment [4]. A DOT supervisor can be a clinical staff member, an employer, a teacher, a family member, or a lay volunteer who may be professional or amateur [5]. DOT can be beneficial for prevention, diagnosis, support, and care [1], with its primary aim being an improvement in medication adherence [6]. Decentralization of treatment expands access to healthcare services for all stakeholders, increases access to effective TB treatment [7,8], and results in more equitable provision of available treatment [9]. The purpose of decentralizing TB services, including community TB care is to increase access to DOTS and to improve program performance, especially in relation to detection of new smear-positive cases and treatment success rates [10]. Evidence also shows that decentralization of TB services does not compromise treatment outcomes [11]. Community-based TB care refers to a decentralized program of TB services that is implemented in settings where patients live, work, and receive education [12]. As a component of community-based TB care, Community-based DOT (CB-DOT) is designed to relieve the pressure of patient care on over-stretched health facilities in countries with a high TB burden [13]. Patients can remain in their homes, at their workplaces, or schools during therapy rather than traveling long distances and waiting for long hours in healthcare facilities [14]. This is particularly important in areas with poor access to health services. For such settings, care in the community can have a significant impact on improving treatment outcomes [1].

Many studies have investigated the effects of CB-DOT. However, the results of these studies have been inconsistent. For example, some studies reported a higher treatment success rate in TB patients treated under CB-DOT [4, 15] compared with those treated under clinic-based DOT, while other studies [16–18] reported no significant difference. A randomized controlled trial by Lwilla et al [17] reported that fewer patients died during treatment under CB-DOT than under institution-based DOT, while another study [19] found no differences in mortality rates between CB-DOT and clinic/self-administered TB treatment groups. There is a need to critically review and appraise current evidence in order to elucidate the effect of CB-DOT on TB treatment. One meta-analysis investigated the impact of lay health workers (LHWs). However, the study did not specifically focus on DOT by community members who did not have a healthcare background, and did not explore the impact of CB-DOT on improving negative treatment outcomes (treatment default, death, treatment failure, and transfer out) [20]. A review by Volmink and Garner [21] analyzed the differences in cure rate and successful treatment rate (cure or completion) by comparing different approaches to treatment: self-administered treatment and home-based DOT compared with clinic-based DOT; clinic-based DOT compared with DOT by a family member or community health worker; and DOT by a family member compared with DOT by a community health worker. The review did not compare DOT by community volunteers with clinic-based DOT, DOT by family member or workplace DOT, and did not elucidate the effect of CB-DOT on negative outcomes. A systematic review and meta-analysis published in 2015 by Karumbi and Garner [22] compared the differences of treatment outcome between DOT and self-administered treatment, DOT at home and DOT at health facility, DOT by family member and DOT by a community health worker. But this review also only focused on outcomes related to cure or treatment completion and did not explore the impact of CB-DOT on improving negative treatment outcomes (treatment default, death, treatment failure, and transfer out). Another by Munro et al. [23] compared the effect of DOT and Self-Administered Therapy (SAT) in preventing microbiologic failure, relapse, or Adverse Drug Reaction (ADR), but did not compare DOT by different volunteer community members.

To address these gaps in knowledge, we examined the effect of CB-DOT on both positive treatment outcomes (cured treatment, completed treatment and successful treatment) and negative treatment outcomes (default, death, failure treatment, transfer out and interrupted treatment rate) compared with clinic-based DOT, family-based DOT, workplace-based DOT, and self-administered treatment by reviewing all available randomized controlled trials (RCTs) and cohort studies.

Methods

Search strategy

This review was performed according to the standard procedures of the Cochrane Collaboration [24] and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist (S1 PRISMA Checklist) [25]. To identify eligible prospective studies published in English up to February 2015, we searched Medline/PubMed, EMBASE, and EBSCO (PsycINFO and CINAHL). A mix of free text and index terms were used to maximize the retrieval of potentially relevant studies (S1 Text). We sought unpublished data from the grey literature through Google and Google Scholar. We hand-searched reference lists of identified articles.

Inclusion/exclusion criteria

The following criteria were employed:

Types of studies: Follow-up studies including randomized controlled trials (RCTs) and prospective cohort studies were included.
Participants: Patients with pulmonary TB (PTB) (including smear-positive or -negative PTB, newly diagnosed cases, and those undergoing retreatment were included. For studies that reported treatment outcomes of participants with smear-positive TB and smear-negative TB, and new or retreated TB and ex-pulmonary TB patients separately, [4,16,26,27], we only included results of TB patients without ex-pulmonary TB. Studies were excluded where we could not separate PTB patients from extra-PTB patients [28–30].
Type of interventions: Studies in which CB-DOT services were provided by lay/community health workers, volunteers, peers, friends, etc. [31–33]. For the purpose of this review, we defined CB-DOT as DOT that was delivered by lay healthcare personnel (including village health workers)/community health workers or voluntary lay individuals from the community (not including family or workplace individuals).
Outcomes measures: We used the following definitions of treatment outcomes for non MDR-TB [1,34]: (i) Successful treatment: a patient who was cured or who completed treatment; (ii) Cured treatment: a patient who was initially sputum smear-positive and who was sputum smear-negative in the last month of treatment and on at least one previous occasion; (iii) Completed treatment: a patient with sputum smear-positive or sputum smear-negative pulmonary TB who completed treatment; (iv) death: a patient who died from any cause during treatment; (v) Failure: a patient who was initially sputum smear-positive and who remained sputum smear-positive at month 5, or was later found to have a MDR strain at any point during treatment, whether they were smear-negative or smear-positive; (vi) Default: a patient whose treatment was interrupted for two consecutive months or more; and (vii) Transfer out: a patient who was transferred to another reporting unit and whose treatment outcome was unknown.

When there was evidence of multiple publications of the same study over time, only the article with a full report was included.

Study selection

Two reviewers (HZ and YL) used the above inclusion and exclusion criteria to identify relevant studies. Each reviewer independently screened the titles and abstracts of identified studies to assess their eligibility for inclusion in the review, using an eligibility form based on the inclusion criteria. Where there was disagreement, a decision to include a study was reached after discussion and consensus by among all reviewers.

Quality assessment

Two reviewers (HZ and YL) independently assessed the methodological quality of included studies. For RCTs, we assessed generation of the allocation sequence and concealment of allocation as adequate, inadequate, or unclear [35]. Blinding was classified as adequate if steps were taken to ensure that those recording the main outcome of the study were blind to the assigned interventions, and inadequate if this was not the case, or if there was no description of the method for assessing the adequacy of the randomization procedure. Completeness of follow-up was assessed as adequate if it included 90% or more, inadequate if it included less than 90%, or unclear if it was not mentioned.

We assessed the quality of cohort studies using the Newcastle-Ottawa Scale [36]. For cohort studies, we assessed the representativeness of the exposed cohort in the study setting, the selection of a non-exposed cohort, the ascertainment of exposure, demonstration that the outcome of interest was not present at initiation of the study, comparability of the cohorts on the basis of study design and analyses, outcome assessment, and the adequacy of follow-up [36]. The assessment is presented using a scoring system, where 1 indicates that the study met the criteria; 0 indicates the study did not meet the criteria; ND indicates that fulfilment of the criteria could not be determined. After assessing the quality of each included study on the basis of these criteria, a composite quality score was assigned, ranging from 0 to 9. Studies that scored ≥ 8 were judged to be of high quality.

Data abstraction

Data from eligible studies were independently abstracted by two reviewers (HZ and YL). Differences were resolved by discussion and consensus among all reviewers. Data extracted from each study included: name of first author/year of publication, type of study design, place of study, type of participant (newly diagnosed/retreatment and smear-positive/negative pulmonary TB patients) age, type of intervention (comparison groups and sample size of each group), outcomes (successful treatment, completed treatment, cured treatment, death, default, failure, and transfer out), and the main results of each study.

Assessment of heterogeneity

Heterogeneity between studies was evaluated using the Q test [37] and the I-squared statistic (I² = 100% × (Q-df)/Q) [38]. For the Q test, a p-value ≤ 0.10 was considered to indicate significant heterogeneity among the studies. Where the p-value was ≤ 0.10, we calculated I², and studies with I² ≤ 50% were deemed acceptable for inclusion in the meta-analysis. Where heterogeneity was significant, subgroup analysis was conducted to explore possible reasons for the heterogeneity. In the subgroup analyses, the heterogeneity within groups was also tested, using the same statistical methods.

Data Synthesis

The first step in data analysis involved a synthesis aimed at summarizing, comparing, and contrasting the extracted data. Meta-analyses were then conducted to assess the impact of CB-DOT on seven treatment outcomes compared with clinic-based DOT, with family-based DOT (DOT provided by family members), workplace-based DOT (DOT provided by workplace individuals), and self-administered treatment. Pooled risk ratio (RR) with 95% confidence interval (CI) was calculated separately by outcome and compared using RevMan 5.2 (Cochrane Collaboration) [24]. The fixed effects model was used to pool studies where the level of heterogeneity was acceptable (i.e., p > 0.10 or p ≤ 0.10, but I² < 50%), and the random effects model, where significant heterogeneity was found between studies (p ≤ 0.10, I² > 50%). Subgroup analysis was also conducted to explore factors associated with heterogeneity.

Results

Description of studies

Fig 1 presents an illustration of the search output. The initial search yielded 119 potentially relevant articles. After reviewing the titles, abstracts, and full texts, 17 studies involving 12,839 pulmonary TB patients from 12 countries (Table 1) met the criteria for inclusion in the review. Ten studies were conducted in Africa [15–17,19,26,39–42], five of which were in South Africa [15,39–42]; seven [18,31,43–46] were from countries in Asia, and one [27] was in South America. Eight of the 17 studies [15–18,31,42,45] were RCTs and nine were prospective cohort studies. Eight studies [15–16,26–27,31,43,45] included only new smear-positive PTB cases; four studies [17–19,46] included all smear-positive PTB cases; one study [46] included both smear-positive and -negative PTB cases; and two studies [39,42] had no description about smear-positive or–negative cases. All 17 studies were included in the systematic review. All eight RCTs [15–18,31,42,45] with 3,456 PTB patients, and six cohort studies [26,39–41,43,44] with 3,456 TB patients had adequate data for inclusion in the meta-analysis.

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Fig 1. Results of literature search.

This figure is a description of the full search process.

https://doi.org/10.1371/journal.pone.0147744.g001

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Table 1. General information for included studies for Community Based intervention and Treatment (17studies).

https://doi.org/10.1371/journal.pone.0147744.t001

The quality assessment indicated that the generation of the allocation sequence for six trials was adequate, but two trials [4,17] lacked information on generation of allocation sequence. Concealment of allocation in three studies [15,16,31] was inadequate, and two studies [4,17] did not provide information. Outcome assessment was blind in only five trials [4,15, 18,31,45]; completeness of follow-up in one trial [17] was assessed as inadequate, two trials did not provide sufficient information to assess this aspect of study quality [42,45] and the rest of the trials were assessed as adequate (S1A Table). All cohort studies met the criteria for ascertainment of exposure, outcome of interest not present at the start of the study, long enough follow-up for outcomes to occur, and complete accounting of follow-up in the cohorts. Only one study [44] did not describe a non-exposed cohort drawn from the same community as the exposed cohort; two studies [19,39] did not describe control of factors (such as severity of disease, health service) that may be associated with treatment outcome. Four studies [19,40,43,46] did not report taking measures to control for additional factors (such as demographic characteristics or socioeconomic factors) which may be associated with treatment outcome; three studies [19,39, 46] did not describe the methods for determining the outcome of treatment. One study scored 6; 2 studies scored 7, the rest 6 studies had scores ≥ 8 (S1B Table).

As for providers of CB-DOT, six studies [4,26,39,42,45–46] involved community health workers for DOT; nine studies had community volunteers, including former TB patients [16], community members [17,19,27,41,43], lay persons [40], village health volunteers or other community leaders [18,44], or friends [44]. One study included both volunteers and community health workers as CB-DOT providers [31]. Two studies also included family members as CB-DOT providers [16, 19]. One RCT by Clarke and colleagues [15] recruited as DOT providers, LHWs who were farm-dwelling peers of adult farm dwellers and had received training on TB.

The period of DOT implementation varied among studies. DOT was implemented in the first 2 months of intensive treatment in four studies [16,17,27,45]. One study [39] did not describe the DOT period, and DOT in one study was conducted 5 days per week for the first 8 weeks for new patients, and 12 weeks for re-treated patients, followed by 3 days per week for the continuation phase [42]. DOT was implemented in the entire standard treatment course in the other 11 studies [4,15, 18–19,26,31,40–41,43,44,46]. Despite the focus of all CB-DOT in monitoring patients while swallowing their anti-TB drugs, all studies included additional measures (such as recording adherence on a Treatment Supporter Card, encouraging patients to complete treatment, noting the adherence card in each visit to the patients, recalling the patients of default from treatment in 24 hours) to improve treatment adherence except in three studies that did not report additional measures [39,40,44] (Table 1). Noticeably, CB-DOT providers, LHWs, also played a mentoring role, visiting the patients, encouraging and monitoring treatment adherence regularly such as in the RCT by Clarke et al. [15].

Meta-analysis of the impact of CB-DOT on treatment outcome

CB-DOT vs. clinic-based DOT.

Twelve studies (six RCT and six cohort studies) were included in the meta-analysis on the impact of CB-DOT on TB treatment outcomes compared with clinic-based DOT:

Twelve studies on all PTB cases: The heterogeneity test indicated that all studies on successful treatment, cured treatment, treatment default, and death had significant heterogeneity (I² = 87, 88, 42 and 65 respectively) and therefore the random effects model was used for the meta-analysis. However, all studies on completed treatment, treatment failure, and transfer out had no significant heterogeneity (I² = 20, 0, and 38 respectively), and the fixed effects model was used for the meta-analysis. Pooled results demonstrated that CB-DOT promoted successful treatment [pooled RR (95%CI): 1.14 (1.03–1.27)]; reduced treatment default [pooled RR (95%CI): 0.75 (0.58–0.98)] and transfer out [pooled RR (95%CI): 0.39 (0.30–0.50)], but had no effect on curative treatment, treatment completion, treatment default, death, and treatment failure (Table 2).

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Table 2. Results of meta-analysis of the studies on comparison between CB-DOT and Clinic-based DOT in TB control.

https://doi.org/10.1371/journal.pone.0147744.t002

Six RCT trials on all PTB cases: All studies of all treatment outcome (successful treatment, cured treatment, completed treatment, default, failure, transfer out and death) had no significant heterogeneity. Pooled analysis of six RCTs for all PTB cases demonstrated that CB-DOT promoted successful treatment [pooled RR (95%CI): 1.11 (1.02–1.19)] and treatment completion [pooled RR (95%CI): 1.74 (1.05–1.29)], and reduced mortality [pooled RR (95%CI): 0.44 (0.26–0.72)] and transfer out [pooled RR (95%CI): 0.37 (0.23–0.61)], but had no effect on curative treatment, treatment default, and treatment failure (Table 2).

CB-DOT vs. family-based DOT.

Three RCTs [4,18,31] and one cohort study [44] were included in the meta-analysis of the effect of CB-DOT on treatment outcome compared with family based-DOT. The heterogeneity test indicated that all studies of five treatment outcome (successful treatment, curative treatment, treatment completion, death, and treatment failure) had no significant heterogeneity. The fixed effects model was therefore, used for the meta-analysis. Pooled results of all studies indicated that there were no significant differences in any treatment outcome between CB-DOT and family-based DOT (Table 3).

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Table 3. Results of meta-analysis of the studies on comparison between CB-DOT and Family-based DOT, Workplace-based DOT and administered treatment in TB control.

https://doi.org/10.1371/journal.pone.0147744.t003

CB-DOT vs. workplace-based DOT.

Only two cohort studies were included in the meta-analysis of the impact of CB-DOT on successful treatment compared with workplace-DOT. These studies had no significant heterogeneity. Pooled results showed that CB-DOT achieved a lower successful treatment rate than workplace-based DOT in all PTB cases [pooled RR (95%CI): 0.85 (0.79–0.90)] (Table 3).

CB-DOT vs. self-administered therapy.

Three studies (one RCT and two cohort studies) were included in a meta-analysis of the impact of CB-DOT versus self-administered therapy on five treatment outcomes. All studies on successful treatment, curative treatment, treatment completion, death and treatment failure had no significant heterogeneity (I² = 20, 0, and 38 respectively). The pooled results with the fixed effects model demonstrated that CB-DOT promoted successful treatment [pooled RR (95%CI): 1.13 (1.03–1.24)] and curative treatment [pooled RR (95%CI): 1.24 (1.04–1.48)], but had no significant effect on treatment completion [pooled RR (95%CI): 0.72 (0.32–1.60)], death [pooled RR (95%CI): 1.03 (0.29–3.58)] or treatment failure [pooled RR (95%CI): 1.19 (0.26–5.50)] (Table 3).

Subgroup analysis.

Subgroup analysis was conducted by type of PTB cases (smear-positive PTB, new/retreatment PTB), DOT period (during the intensive treatment period/continuous treatment period) and quality of studies. We found type of PTB cases and DOT period were possible causes of heterogeneity between studies. But we observed no marked influence of type of PTB cases, DOT periods and quality of studies on pooled results (S2A–S2C Table).

Discussion

DOT was launched by WHO in 1992 [47], and has long been accepted as an effective strategy to promote patient adherence to anti-TB treatment, thus helping to cure most TB cases, to prevent the spread of TB in the community, and to prevent drug-resistant TB [48]. Poor implementation of DOT leads to monotherapy and intermittent treatment, which leads to the emergence of TB drug resistance [48]. CB-DOT is accepted by many countries as a major element of community involvement in TB control [49]. CB-DOT has advantages, particularly in low-to-middle income countries, because costs associated with CB-DOT are typically 40–50% lower than health facility-based care, and the cost-effectiveness of CB-DOT is approximately 50% higher [49]. In response to these findings, more national treatment programs in Africa are now beginning to introduce and expand implementation of CB-DOT as part of routine activities [49]. Before further expansion of CB-DOT, it is necessary to clarify its effect. Thus, this systematic review and meta-analysis updated available evidence on the beneficial effect of CB-DOT on TB control, and suggested that CB-DOT had increased successful treatment rate and completed treatment, and reduced rates of death and transfer out compared with clinic-based DOT. CB-DOT appeared to promote successful treatment and cured treatment compared with self-administered treatment, based on studies with no significant heterogeneity. Workplace-based DOT may have advantage in promoting successful treatment in patients who continue to work during treatment.

Regarding positive treatment outcomes (cured treatment, completed treatment and successful treatment), a review by Lewin et al. [20] provided evidence of moderate quality of the effectiveness of LHWs in improving PTB cure rates [RR (95% CI): 1.22 (1.13–1.31)]. However, the review by Volmink and Garner found no significant difference in clinical outcomes (cure or completion of treatment) between DOT at a clinic versus DOT by a family member or community health worker, or DOT provided by a family member versus a community health worker [21]. The current meta-analysis compared CB-DOT with clinic-based DOT, and similarly found that CB-DOT had no advantage in promoting the cure rate in all PTB patients, either based on pooled results of all studies (RCTs and cohort studies) or of RCT studies. However, this meta-analysis found that CB-DOT increased rates of successful treatment in all TB patients (based on all RCT and cohort studies or on only RCTs with the fixed model), and in smear-positive patients (five RCTs fixed model) compared with clinic-based DOT. We also found that CB-DOT promoted completed treatment for all PTB patients (five RCTs, fixed model), and for smear-positive cases (four RCTs, fixed model) compared with clinic-based DOT. In addition, this meta-analysis identified that CB-DOT promoted cured treatment and successful treatment compared with self-administration (one RCT and two cohort studies, fixed model), but workplace DOT had an advantage in successful treatment compared with CB-DOT, based on two cohort studies with no significant heterogeneity.

Regarding negative treatment outcome (default, death, failure, and transfer out), one systematic review and meta-analysis by Toczek et al. [50] demonstrated that the engagement of community health workers as DOT providers and the provision of DOT through outreach treatment were associated with lower default rates for drug-resistant TB. The current meta-analysis identified that CB-DOT significantly reduced death for all PTB patients (six RCTs, fixed model) or for smear-positive PTB patients (five RCTs, fixed model), and the transfer out rate for all cases (nine studies, fixed model) and smear-positive PTB (five RCTs, fixed model) compared with clinic-based DOT.

A previous review [21] concluded that within CB-DOT, comparisons between DOT provided by a family member versus a community health worker had similar outcomes. Compared with DOT by family members, our review similarly found that CB-DOT had similar outcomes (successful treatment, cured treatment, competed treatment, death and failure) based on all relevant studies (three RCTs plus one cohort or three RCTs).

Similar to our findings, the review by Karumbi and Garner evaluated DOT [22] compared to self-administered treatment in people on treatment for active TB or on prophylaxis to prevent active disease, and demonstrated little or no difference in cure or treatment completion when DOT was implemented by a family member compared with DOT by community health worker [22]. Another systematic review [23] concluded that DOT was not significantly better than self-administered therapy in preventing microbiologic failure, relapse, or acquired drug resistance. Our review also similar overserved that CB-DOT didn’t improved death rate and failed treatment compared with self-administered therapy.

Limitations

Our review has some limitations. First, the DOT intervention varied in different studies. Many had additional measures to promote treatment compliance [15–16], while some studies did not mention additional measures [39–40,44]. The differences in the additional measures in different studies were possible reasons for the heterogeneity between studies. However, we could not conduct subgroup analysis or sensitivity analysis because of the limitations in the available data. Second, this review did not cover the impact of CB-DOT on the risk of relapse and time to relapse as well as latent TB infection because few relevant studies were identified. Third, the definition of death by WHO is: “a patient who died from any cause during treatment” [1]. This outcome should focus on death from TB and exclude death from causes other than TB. Finally, the RCTs included in our review did not report which data adhered to the principle of intention-to-treat. Equally, we only included published studies in this review, and this may have led to publication bias [51]. In addition, exclusion of studies with HIV-infected PTB patients is another one limitation.

Implications

Though a plethora of factors are associated with preventive or curative TB treatment [52], evidence from this meta-analysis shows that CB-DOT, as one key component of community involvement in TB control, can improve TB treatment outcomes. CB-DOT has the potential to contribute to better treatment outcomes, particularly in low-to-middle income countries with high TB burden because of its convenience [19,29,53] and cost-effectiveness [49], and may enable substantial savings in indirect costs associated with clinic-based treatment, including travel costs, child care costs, and loss of earnings. However, CB-DOT needs modification to tailor it to local conditions and perhaps patient preferences. For example: (1) Providers and locations of CB-DOT can be decided by the patients because CB-DOT is patient-centered [4,32,38,53] and community-centered in order to provide flexible and convenient CB-DOT to individual TB patients where they live, work or attend school. (2) Once inexpensive, evidence-based interventions are available in some form, it is important to adapt it to local contexts. Implementation research is use of strategies to adopt, adapt, integrate evidence-based health interventions and policies, and change practice patterns within specific settings [53–55]. Therefore, further implementation research on strategies for implementing CB-DOT in specific community settings would help to provide guidance on how best to integrate evidence-based CB-DOT into the healthcare system [53,55]. (3) The meta-analysis by Kangovi et al. found that CB-DOT programs where providers received financial reward differed possibly from programs without financial reward for providers in TB treatment outcomes [56]. Offering financial incentive to CB-DOT providers are more likely to increase motivation and their effectiveness, but further studies are needed to confirm this hypothesis.

Conclusions

This systematic review and meta-analysis demonstrated that, as one component of decentralization of TB care from health facilities into the community, “patient centered” and “community centered” CB-DOT did improve treatment outcomes if it tailored to local community conditions. Possibly, it is a promising strategy to scale up CB-DOT in low-to-middle income countries with high TB burden, because it is cost-effective and acceptable. CB-DOT interventions could benefit from further implementation studies to ensure proper tailoring of interventions in line with constraints and resources of the local settings in which they are implemented.

Supporting Information

S1 PRISMA Checklist. PRISMA checklist.

https://doi.org/10.1371/journal.pone.0147744.s001

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S1 Table. Quality Assessment of included studies.

https://doi.org/10.1371/journal.pone.0147744.s002

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S2 Table. subgroup analysis.

https://doi.org/10.1371/journal.pone.0147744.s003

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S1 Text. Search strategies.

https://doi.org/10.1371/journal.pone.0147744.s004

(DOCX)

Acknowledgments

This project was funded by the National Natural Science Foundation of China (Award # 81001297) and Social Science and Technology Innovation Subject in Chongqing (cstc2015shmszx0099).

Author Contributions

Conceived and designed the experiments: YL ST. Performed the experiments: YL HZ. Analyzed the data: YL HZ. Contributed reagents/materials/analysis tools: YL HZ. Wrote the paper: YL HZ HY JE ST.

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Figures

Abstract

Background

Methods

Results

Conclusions

Introduction

Methods

Search strategy

Inclusion/exclusion criteria

Study selection

Quality assessment

Data abstraction

Assessment of heterogeneity

Data Synthesis

Results

Description of studies

Meta-analysis of the impact of CB-DOT on treatment outcome

CB-DOT vs. clinic-based DOT.

CB-DOT vs. family-based DOT.

CB-DOT vs. workplace-based DOT.

CB-DOT vs. self-administered therapy.

Subgroup analysis.

Discussion

Limitations

Implications

Conclusions

Supporting Information

S1 PRISMA Checklist. PRISMA checklist.

S1 Table. Quality Assessment of included studies.

S2 Table. subgroup analysis.

S1 Text. Search strategies.

Acknowledgments

Author Contributions

References