Literature DB >> 23341869

Linkage to care and treatment for TB and HIV among people newly diagnosed with TB or HIV-associated TB at a large, inner city South African hospital.

Yara Voss De Lima1, Denise Evans, Liesl Page-Shipp, Antonia Barnard, Ian Sanne, Colin N Menezes, Annelies Van Rie.   

Abstract

OBJECTIVE: To assess the outcomes of linkage to TB and HIV care and identify risk factors for poor referral outcomes.
DESIGN: Cohort study of TB patients diagnosed at an urban hospital.
METHODS: Linkage to care was determined by review of clinic files, national death register, and telephone contact, and classified as linked to care, delayed linkage to care (>7 days for TB treatment, >30 days for HIV care), or failed linkage to care. We performed log-binomial regression to identify patient and referral characteristics associated with poor referral outcomes.
RESULTS: Among 593 TB patients, 23% failed linkage to TB treatment and 30.3% of the 77.0% who linked to care arrived late. Among 486 (86.9%) HIV-infected TB patients, 38.3% failed linkage to HIV care, and 32% of the 61.7% who linked to care presented late. One in six HIV-infected patients failed linkage to both TB and HIV care. Only 20.2% of HIV-infected patients were referred to a single clinic for integrated care. A referral letter was present in 90.3%, but only 23.7% included HIV status and 18.8% CD4 cell count. Lack of education (RR 1.85) and low CD4 count (CD4≤50 vs. >250cells/mm(3); RR 1.66) were associated with failed linkage to TB care. Risk factors for failed linkage to HIV care were antiretroviral-naïve status (RR 1.29), and absence of referral letter with HIV or CD4 cell count (RR1.23).
CONCLUSIONS: Linkage to TB/HIV care should be strengthened by communication of HIV and CD4 results, ART initiation during hospitalization and TB/HIV integration at primary care.

Entities:  

Mesh:

Year:  2013        PMID: 23341869      PMCID: PMC3547004          DOI: 10.1371/journal.pone.0049140

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

South Africa is one of the 22 countries with a high tuberculosis (TB) burden [1]. In 2009, almost half a million new cases of tuberculosis were notified in South Africa, [2] corresponding to a rate of 971 cases per 100,000 population. The burden of HIV-associated tuberculosis in South Africa is enormous, with an estimated 73% of TB cases being HIV-infected, and one in four of all global HIV-associated TB cases occurring in South Africa [1]. Adherence to treatment for TB and HIV is an important determinant of a favourable treatment outcome, and those who default treatment, especially if soon after treatment initiation, continue to be a source of infection and transmission within the community [3], [4]. Patients with drug resistant TB that default therapy pose an even greater risk to the public [5], [6]. It is estimated that a person with smear-positive TB will infect 10–14 people per year [7]. The risk of transmitting HIV is mainly related to the HIV viral load and level of risk behaviour [8]. While treatment interruption during the course of TB treatment and antiretroviral treatment (ART) have been extensively studied [9]–[13], little is known about the linkage to care after the initial diagnosis [14], particularly among people diagnosed with HIV-associated TB at a hospital facility [15], [16]. Because the cost-effectiveness of diagnostic interventions is in part determined by successful linkage to care [17], [18], the rate of linkage to care should be monitored and evaluated along with other programmatic targets [18], [19]. Currently, rates of and reasons for failure to link TB and HIV diagnosis with care are not collected as part of routine monitoring and evaluation in TB and ART programs, making evidence-based decisions on how to improve linkage to care difficult [20]. We aimed to determine the proportion of people who fail to link to care for TB and HIV treatment following a TB diagnosis at an inner city hospital in Johannesburg, South Africa, and assess risk factors for delayed or failed linkage to TB and HIV care.

Methods

Ethics statement

Study approval was obtained from the Human Research Ethic Committee of the University of Witwatersrand, Institutional Review Board of the University of North Carolina, the City of Johannesburg (CoJ) municipality and the Helen Joseph hospital. A waiver of written informed consent was granted by the ethics committees (retrospective review of existing medical records). Verbal informed consent for use of information provided by individuals contacted by phone was obtained from all individuals and documented in writing on the informed consent form used. All data was de-identified prior to analysis and analysed anonymously.

Setting and patient population

The TB focal point (TBFP) at the Helen Joseph public hospital in Johannesburg, South Africa, provides routine TB diagnosis for inpatients and some outpatients, TB education, and HIV counselling, testing and staging for TB suspects and TB patients. All activities are performed according to National TB guidelines [21], [22]. During the study period, the South African guidelines recommended ART initiation as soon as the patient is stable and completed at least two weeks of TB treatment if CD4 count is less than 50 cells/mm or in the presence of other serious HIV “illnesses”; at the end of the two-month intensive phase of TB therapy if CD4 count is between 50 cells/mm and 200 cells/mm; and after completion of TB therapy if CD4 count was above 200 cells/mm and there were no other HIV-related symptoms. Patients are referred for continuation of TB treatment to the most appropriate local primary health care clinic based on the patient's home or work address, and provided with TB medication for 7 days. Patients on ART are provided with antiretroviral drugs for 30 days and ART-naïve HIV-infected patients are instructed to present for HIV care and treatment within 30 days of referral. National guidelines state that if possible, the patient should either be transported to the clinic by health services, be accompanied by a DOT supporter or social worker, or the local PHC clinic should collect the patient. If this is not possible the hospital should follow up directly with the clinic to confirm that the patient has arrived [21], [22]. Because the TBFP does not have the capacity to accompany patients or to confirm arrival of all patients, a standard South African TB Programme referral letter (“pink”) form is given to the patient to deliver to the referral clinic. A copy of this referral letter is sent directly to the clinic where the patient is referred to, and a third copy is kept at the TBFP. The guidelines further instruct that the pink referral form must be completed in detail with all relevant information. [21], [22] While the form includes a field “other information”, there is no dedicated space for HIV status or CD4 count. All adults (age 18 years or older) registered with active TB at the TBFP with TB between October 1 and December 31, 2009 and referred to a clinic within the CoJ health district were included in the analysis.

Data collection

The TBFP routinely collects socio-demographic data, clinical information, laboratory results related to TB and HIV care, patient contact information and the name of the clinic(s) patients are referred to for TB and HIV treatment. For the study, data on the outcome of the referral process was collected 3 months (median 192 days, range 161–231) after referral from TBFP to ensure capture of late presenters (Figures 1 and 2). Referral clinics were visited to confirm patient arrival by interviewing the TB nurse and reviewing the clinic TB register. The patient TB file was reviewed to determine the exact date of patient arrival, standard referral form for documentation of HIV and CD4 cell count information, locate the pink form or any other referral documents, and review documentation on HIV status, care and treatment. For patients with HIV-associated TB, TherapyEdge™ an electronic database, used by several HIV clinics in Johannesburg, was reviewed to establish linkage to HIV care. CoJ clinics that did not use Therapy Edge-HIV™ were visited. In total, study staff visited 98 clinics within CoJ.
Figure 1

Flow chart representing the assessment of linkage to TB treatment.

This flow chart details the data collection and verification process used to determine the outcome of referral of 593 TB patients for continuation of TB treatment at primary care level. Data was collected three months (median 192 days) after referral to ensure capture of data on individuals who presented late after referral.

Figure 2

Flow chart representing the assessment of linkage to HIV care and treatment.

This flow chart details the data collection and verification process used to determine the outcome of referral of 486 HIV co-infected patients with TB for continuation of HIV care and treatment. Data was collected 3 months (median 192 days) after referral to ensure capture of data on individuals who presented late after referral.

Flow chart representing the assessment of linkage to TB treatment.

This flow chart details the data collection and verification process used to determine the outcome of referral of 593 TB patients for continuation of TB treatment at primary care level. Data was collected three months (median 192 days) after referral to ensure capture of data on individuals who presented late after referral.

Flow chart representing the assessment of linkage to HIV care and treatment.

This flow chart details the data collection and verification process used to determine the outcome of referral of 486 HIV co-infected patients with TB for continuation of HIV care and treatment. Data was collected 3 months (median 192 days) after referral to ensure capture of data on individuals who presented late after referral. When documentation of patient arrival at the referral clinic for TB and HIV treatment was not found, the electronic South Africa's National Vital Registration system was consulted to verify the alive or deceased status of the patient. Patients that were alive or with unknown survival status were contacted telephonically using a standardized script to enquire about TB and, if applicable, HIV treatment. If patients reported they had presented for TB and/or HIV treatment, the name of the clinic was recorded and the clinic was visited to confirm attendance.

Data analysis

The primary outcome was time to arrival at the referral clinic, categorized as (i) linked to care, (ii) delayed linkage to care (iii) failed of linkage to care. Delayed linkage to care was defined as presentation for TB treatment more than 7 days or presentation for HIV care and treatment more than 30 days after hospital discharge, corresponding to the 7 day supply of TB treatment, 30 day supply of antiretroviral drugs, or a 30 days period during which the ART-naive patients were asked to present for HIV care. Failed linkage to care included patients who self-reported not being in care as well as patients who had no record of care and could not be traced by phone, assuming they had not presented for care. Initiation of care in people who could not be traced could not be excluded. We therefore explored the potential of misclassification in a sensitivity analysis in which all patients who could not be traced were classified as having linked to care. Patients who died within 7 days or 30 days of referral for TB or HIV care, respectively, were classified as deceased during referral process. Multiple log-binomial regression analysis was performed to identify patient and referral characteristics independently associated with delayed and failed linkage to TB and HIV care, respectively. Measures of association were expressed as relative risks (RR) and their 95% confidence intervals (CI). Variables associated with the outcome in bivariate analysis at p≤0.20 were considered in regression models. Data was analyzed using SAS 9.1 statistical software package (SAS institute, Inc., North Carolina, USA.

Results

Patients characteristics

During the 3-month study period, 678 adults were registered with active TB at the TBFP, of which 593 were referred to a CoJ clinic and included in the analysis. Demographic and clinical characteristics of patients referred to CoJ clinics did not differ from the overall cohort (p>0.2). Median age was 35.9 years (IQR 30.6–43.5), 50% were female, 82.6% were of South African nationality, 80% had an education level of grade 8 or higher, and 54.7% were unemployed (Table 1). The majority (68.5%) had smear-negative TB. Most patient (86.9%) were HIV-infected, 8.9% were HIV negative and 4.2% of patients had an unknown HIV status. Median CD4 cell count at TB diagnosis was 78 cells/mm3 (IQR 30–178). At time of referral, only 21% of HIV-infected patients were receiving ART.
Table 1

Baseline demographics and clinical characteristics of 593 patients diagnosed with TB at the Helen Joseph Hospital TB focal point.

Patient characteristicN or median% or IQR
Gender (n, %)Male29550
Female29850
Age at TB-FP (years)Median (IQR)35.930.6–43.5
≤4039566.6
>4019833.4
NationalitySouth African49082.6
Zimbabwe9315.7
Other101.7
Time in Johannesburg <6 mNo45492.8
Yes357.2
EmploymentNo32154.7
Yes26545.3
EducationNo education305.1
<Grade 88814.9
≥Grade 847180.0
HIV statusHIV negative538.9
HIV positive51586.9
On ART10821.0
Not on ART40779.0
Unknown status254.2
CD4 cell countMedian (IQR)7830–178
≤50 cell/mm3 18637.3
51–100 cell/mm3 10120.3
101–250 cell/mm3 13827.7
>250 cell/mm3 7314.7

Time in Johannesburg was missing in 104 patients, employment status in 7 patients, education status in 4 patients for, and CD4 cell count results in 17 patients.

Time in Johannesburg was missing in 104 patients, employment status in 7 patients, education status in 4 patients for, and CD4 cell count results in 17 patients.

Linkage to TB care

Overall, 137 (23%) patients failed to link to TB care and 456 (77%) presented to a clinic for continuation of TB care and treatment (Table 2). Among the 456 who had linked to care, 126 (27.6%) had presented to a clinic other than the one they had been referred to by TBFP staff. The median time to presentation was 5 days (IQR 2 -10) but 138 (30.3%) arrived late, after their 7 day supply of TB drugs expired. Among the 415 patients who arrived for TB care at a CoJ clinic, 375 (90.3%) had a clinic file that contained a referral letter but this letter contained the HIV status in only 23.7% of patients, and the CD4 cell count was communicated in as few as 18.8% of HIV-infected TB patients. Among the 137 (23%) patients classified as failure to link to TB care, 6 (4.4%) had died within the first 7 days after TBFP referral, 38 (27.7%) self-reported they had never presented at a TB clinic and 93 (67.9%) could not be traced.
Table 2

Outcome of referral from Helen Joseph hospital TB focal point to City of Johannesburg clinic for continuation of TB treatment (n = 593) and HIV care and treatment (n = 486).

Outcome of referralN% or IQR
Linkage to TB care Arrived at TB clinic45677.0
Arrived at original referral clinic33072.4
Arrived at other clinic within COJ8518.6
Arrival at TB clinic outside COJ419.0
Failed to link to TB care13723
Patient confirms not attending any TB clinic3827.7
Died within 7 days of discharge64.4
Loss to follow-up9367.9
Timing of linkage to TB care* Median, IQR (days)52–10
Arrived on time (≤7 days)27760.7
Arrived late (>7 days)13830.3
Arrived (exact date missing)419.0
Referral information at TB clinic** Referral letter present in clinic file375/41590.3
Referral letter with HIV status89/37523.7
Among HIV positive, referral letter with CD4 count68/36118.8
No discharge letter received at clinic40/4159.6
Linkage to HIV care Arrival at HIV clinic30061.7
Arrived at original HIV referral clinic23076.7
Arrived at other HIV clinic within COJ6622.0
Arrival at HIV clinic outside COJ41.3
Failed to arrive18638.3
Patient confirms not attending any HIV clinic8244.1
Loss to follow-up9450.5
Died within 30 days of referral105.4
Timing of linkage to HIV care*** Median, IQR (days)175–48
Arrived in time (≤30 days)19163.7
Arrived late (>30 days)9632.0
Arrived (exact date missing)134.3
Type of referral clinicSame TB and HIV referral site9820.2
Two different referral sites for HIV and TB38679.8
Appropriateness of referral HIV clinicAppropriate42687.7
Not appropriate* 6012.3

Among 456 patients who linked to TB care;

Among 415 patients who linked to TB care at a COJ clinic;

Among 300 HIV infected TB patients who linked to HIV care *Not appropriate = referral of an ART-naïve patients to clinic where ART is not initiated; CoJ = City of Johannesburg; IQR = interquartile range.

Among 456 patients who linked to TB care; Among 415 patients who linked to TB care at a COJ clinic; Among 300 HIV infected TB patients who linked to HIV care *Not appropriate = referral of an ART-naïve patients to clinic where ART is not initiated; CoJ = City of Johannesburg; IQR = interquartile range.

Linkage to HIV care and treatment

Among the 515 patients with HIV-associated TB, 486 were referred to a CoJ clinic and included in the analysis. Of the 486 patients, 186 (38.3%) failed to link to HIV care and 300 (61.7%) presented for HIV care and treatment (Table 2). Among those that linked to HIV care, 66 (22.0%) had presented to a clinic different than the one they had been referred to by the TBFP staff. The median time to presentation was 17 days (IQR 5–48), but 32% presented late, more than 30 days after referral by the TBFP. Among the 186 patients classified as failed linkage to care, 10 (5.4%) had died within the first 30 days of referral, 82 (44.1%) admitted they had never presented at a HIV clinic, and 94 (50.5%) could not be traced. The majority of patients (79.8%) had been referred to two separate clinics, one for TB treatment and one for HIV care and treatment. Among ART-naïve patients, 12% were inappropriately referred to a clinic not accredited for ART initiation.

Correlation of linkage to TB and HIV care and treatment (in patients with recorded arrival times)

Among patients with HIV-associated TB, exact dates of arrival were available for 461 (91.5%) patients. One in six HIV-infected TB patients (16.7%) failed to link to both HIV and TB care and treatment, about half (55.5%) linked to both HIV and TB care and treatment; one in five (22.3%) linked to TB treatment but failed to link to HIV care, and few (5.4%) linked to HIV care and treatment but failed to link to TB treatment. Patients who failed to link to HIV care were also at increased risk of failure to link to TB care (RR 1.59, 95% CI 1.42–1.76).

Factors associated with delayed or failed linkage to TB or HIV care and treatment

In bivariate analysis, being a non-South African (RR 1.42; 95% CI 1.04–1.92), lack of formal education (RR 2.06; 95% CI 1.36–3.11), and low CD4 (≤50 vs. >250 cells/mm3; RR 2.22; 95% CI 1.24–3.96) were associated with increased risk of failed linkage to TB care (Table 3). Risk factors for delayed linkage to care were being a non-South African (RR 1.38 95% CI 1.02–1.86), lack of formal education (RR 2.02, 95% CI 1.38–2.96), being ART-naïve at referral (RR 1.67; 95% CI 1.07–2.60), and the absence of a referral letter in the TB clinic file (RR 1.82, 95% CI 1.34–2.49). In multivariate analysis, the lack of formal education (aRR 2.12 95% CI 1.44–3.09) and absence of a discharge letter (aRR 1.47 95% CI 1.02–2.11) were independently associated with increased risk of delayed linkage to TB care. Lack of formal education (aRR 1.85 95% CI 1.31–2.61) and low CD4 (≤50 vs. >250cells/mm3; aRR 1.66 95% CI 1.07–2.64) were independently associated with increased risk of failed linkage to TB care.
Table 3

Factors associated with delayed or failed linkage to TB care in 593 patients referred from Helen Joseph hospital TB focal point to City of Johannesburg (COJ) clinic for TB treatment.

Delayed linkage to care (>7 days) (n = 138)Failed linkage to care (n = 131#)
NCrude RR (95% CI)Adjusted RR (95% CI)NCrude RR (95% CI)Adjusted RR (95% CI)
SexFemale73Reference63Reference
Male650.94 (0.71–1.23)681.07 (0.81–1.42)
Age<36 years74Reference64Reference
≥36 years640.92 (0.70–1.21)671.04 (0.80–1.39)
NationalitySouth African103ReferenceReference97ReferenceReference
Other351.38 (1.02–1.86)1.39 (0.92–2.17)341.42 (1.04–1.92)1.18 (0.87–1.59)
Education≥Grade 8108ReferenceReference100ReferenceReference
<Grade 8180.97 (0.64–1.46)0.95 (0.62–1.46)201.09 (0.74–1.63)1.06 (0.75–1.49)
No education112.02 (1.38–2.96)2.12 (1.44–3.13)102.06 (1.36–3.11)1.85 (1.31–2.61)
UnemployedNo66Reference53Reference
Yes710.96 (0.73–1.26)751.16 (0.87–1.55)
ART statusOn ART17ReferenceReference22Reference
ART-naive1101.67 (1.07–2.60)1.39 (0.92–2.17)911.22 (0.82–1.81)
CD4 count>250 cell/mm3 22ReferenceReference10ReferenceReference
101–250 cell/mm3 270.72 (0.46–1.15)0.80 (0.51–1.25)271.27.(0.67–2.40)1.16 (0.71–1.83)
51–100 cell/mm3 260.91 (0.36–1.43)0.98 (0.65–1.49)151.07 (0.53–2.17)1.07 (0.62–1.83)
≤50 cell/mm3 471.13 (0.76–1.67)1.07 (0.75–1.53)582.22 (1.24–3.96)1.66 (1.07–2.64)
Discharge letterYes115ReferenceReferenceNANA
No231.82 (1.34–2.49)1.47 (1.02–2.11)

RR = relative risk, CI = confidence interval; ART = antiretroviral treatment.

Patients who died within 7 days of referral are not included in delayed or failed linkage to care.

RR = relative risk, CI = confidence interval; ART = antiretroviral treatment. Patients who died within 7 days of referral are not included in delayed or failed linkage to care. Factors associated with increased risk of poor outcome of HIV referral in bivariate analysis were being ART-naïve at referral (RR 1.53, 95% CI 1.01–2.31 for delayed linkage to HIV care; RR 2.69, 95% CI 1.74–4.16 for failed linkage to HIV care), and referral to an inappropriate HIV clinic (RR 1.81, 95% CI 1.20–2.73 for delayed and RR 1.84, 95% CI 1.52–2.23 for failed linkage to HIV care) (Table 4). In addition, having a non-South African nationality (RR 1.27, 95% CI 1.01–1.59) and lack of HIV status and CD4 count information on the referral letter received at the TB clinic increased the risk of failure to link to HIV care (RR 1.86, 95% CI 1.49–2.34). There were no clear trends in association between CD4 cell count and delayed or failed linkage to HIV care. In multivariate analysis, being ART-naïve (RR1.29, 95% CI 1.10–1.52) and absence of HIV status and CD4 count on the referral letter (RR 1.23, 95% CI 1.10–1.38) independently increased the risk of failed linkage to HIV care.
Table 4

Factors associated with delayed or failed linkage to HIV care in 486 patients with HIV-associated TB referred from Helen Joseph hospital TB focal point to City of Johannesburg (COJ) clinic for HIV care and treatment.

Delayed linkage to care* (>30 days) (n = 96)Failed linkage to care* (n = 176#)
NCrude RR (95% CI)Adjusted RR (95% CI)NCrude RR (95% CI)Adjusted RR (95% CI)
SexFemale54Reference90Reference
Male420.91 (0.66–1.27)861.04 (0.84–1.28)
Age<36 years47Reference89Reference
≥36 years491.04 (0.74–1.47)870.98 (0.79–1.22)
NationalitySouth African77Reference129ReferenceReference
Other191.06 (0.71–1.60)471.27 (1.01–1.59)1.02 (0.88–1.19)
Education≥Grade 876Reference136ReferenceReference
<Grade 8151.13 (0.73–1.76)281.13 (0.85–1.50)1.03 (0.88–1.21)
No education51.41 (0.72–2.76)111.40 (0.97–2.04)0.95 (0.73–1.23)
UnemployedNo45Reference78Reference
Yes511.03 (0.74–1.42)951.06 (0.85–1.32)
ART statusOn ARV21ReferenceReference17ReferenceReference
Not on ARV751.53 (1.01–2.31)1.56 (0.97–2.35)1592.69 (1.74–4.16)1.29 (1.10–1.52)
CD4 count>250 cell/mm3 16ReferenceReference32ReferenceReference
101–250 cell/mm3 341.05 (0.66–1.67)1.13 (0.68–1.88)420.82 (0.60–1.13)0.97 (0.81–1.15)
51–100 cell/mm3 180.64 (0.37–1.13)0.73 (0.41–1.30)220.52 (0.34–0.79)0.86 (0.71–1.04)
≤50 cell/mm3 160.77 (0.47–1.26)0.72 (0.44–1.17)320.90 (0.70–1.20)0.93 (0.80–1.09)
Appropriate HIV referral* Yes84ReferenceReference140ReferenceReference
No121.81 (1.20–2.73)1.55 (0.92–2.59)361.84 (1.52–2.23)1.13 (0.93–1.35)
HIV status on letterYes51ReferenceReference61ReferenceReference
No451.32 (0.95–1.82)1.28 (0.94–1.76)1151.86 (1.49–2.34)1.23 (1.10–1.38)
Integration of referralNo79ReferenceReference148ReferenceReference
Yes160.71 (0.45–1.13)0.79 (0.49–1.27)280.73 (0.54–1.00)0.95 (0.82–1.10)

CI = confidence interval; RR = relative risk;

excludes patients who died within 30 days of referral;

facility accredited for HIV treatment and care.

CI = confidence interval; RR = relative risk; excludes patients who died within 30 days of referral; facility accredited for HIV treatment and care.

Sensitivity analysis

Despite intensive investigations, 15.7% of patients could not be traced regarding linkage to TB care and 19.3% could not be traced to obtain information on HIV care. In the primary analysis, these patients were assumed not to have linked to care, which may have overestimated the rate of failed linkage to care. A sensitivity analysis in which all patients who could not be traced were classified as having linked to care, gave similar results compared to the main analysis. Being a non-South African (RR 1.30 95% CI 0.64–2.64), lack of formal education (RR 1.32 95% CI 0.61–2.88) and low CD4 count (≤50 vs. >250cells/mm3; RR 3.29 95% CI 0.42–25.97) resulted in a higher risk of failed linkage to TB care, but the association was no longer statistically significant, possibly due to the lower numbers of patients who failed to link to care in this analysis. Regarding linkage to HIV care, being ART-naïve at referral (RR 5.47 95% CI 2.06–14.49) and referral to an inappropriate HIV clinic (RR 1.93 95% CI 1.25–2.98) were associated with failure to link to HIV care in the sensitivity analysis; being a non-South African (RR 1.08 95% CI 0.69–1.70) and lack of HIV status and CD4 count on the referral letter received at the TB clinic (RR 0.94 95% CI 0.64–1.38) were no longer associated with failing linkage to HIV care in the sensitivity analysis.

Discussion

We observed inadequate referral outcomes despite the implementation of a TB focal point infrastructure with a strong emphasis on integrated TB/HIV diagnosis. Almost one in four (23%) of patients failing to link to TB treatment at a primary care clinic, and 30% of those linking to care arrived after their 7 day supply of drugs expired. Linkage to HIV care was even more inadequate, with 38.3% of HIV-positive patients failing to present themselves to HIV care. Among HIV-infected TB patients, only 55.5% achieved linkage to both TB and HIV care, and one in six failed linkage to both TB and HIV care. Our findings are in contrast to the observations by Edginton et al [16] who observed that the introduction of a TB care centre at another large hospital in Johannesburg, South Africa, improved patient referral with 93% of TB patients achieving successful referral to a clinic for continuation of TB treatment and nurses reporting that patients arrived “well-informed and motivated to continue treatment with referral documentation that were accurate and complete” [16]. Most socio-demographic characteristics, including age, gender and employment status, were not associated with poor outcomes of the referral process. Lack of formal education resulted in a two-fold risk of delayed and failed linkage to TB care, and being non-South African increased the risk by about 40%. As observed elsewhere, staff may not spend enough time on patient education and may not be able to communicate in the patient's native language [16]. In a Ugandan study, not being aware that TB is curable and not knowing the duration of anti-TB treatment was associated with poor linkage to TB treatment in patients with HIV-associated TB [23]. Foreign-born individuals and those who lack formal education may find it especially challenging to interpret information provided at referral and may be less empowered to seek continuation of care. High rates of losses to care between HIV diagnosis and HIV care have been observed in many settings, highlighting the need for robust referral systems and a better understanding of risk factors [10]–[12], [24]–[27]. In our cohort of patients with HIV-associated TB, being ART-naive at time of referral was associated with a 30% increased risk of failed linkage to HIV care, and around a 40–50% increased risk for delayed linkage to HIV and TB care, although the latter was not statistically significant. In contrast to Basset et al [20], who found that patients with a CD4 cell count ≤100 cell/mm3 were twice as likely to be lost to care before ART initiation, CD4 count was not a risk factor for failure to link to HIV care in our population of HIV-infected TB patients. The increased risk of failure to link to HIV care among TB patients who are ART-naïve at time of referral highlights a lost opportunity for reducing early mortality among those with advanced immunosuppression [28]–[30] and suggest that initiation of ART during hospitalization, may not only improve survival but also reduce the likelihood of failure of linkage to care at primary care level. The efforts towards an integrated TB/HIV approach at the hospital TBFP resulted in a 95.8% HIV testing rate and 84% of HIV-positive patients being evaluated by CD4 cell count. Unfortunately, the information on HIV status reached the primary care providers in only 23.7% of patients who linked to TB care, and the results of CD4 cell count were available at primary care level for only 18.8% of HIV-infected TB patients who linked to TB care. Failure to communicate HIV-related information to the health care worker, often because of confidentiality concerns, negatively impacts on patient care, as demonstrated by a 23% increased risk of failure to link to HIV care, and results in great inefficiency and high costs of duplicating efforts at different levels of the health care system. Our findings highlights the need to communicate HIV status and CD4 count at time of referral and suggest that national programs should consider revising the standard referral document if this does not contain designed entries for HIV-related information. Integration of TB and HIV care at primary care level was poor, with 80% of patients with HIV-associated TB being referred to two separate clinics, one for TB and one for HIV care. The Pro-TEST study in urban Zambia demonstrated that delivery of integrated services, including a strong referral system reduces patient costs and is financially feasible and inexpensive [17]. Our study had several strengths, including the assessment of linkage to both TB and HIV care in a single cohort of patients, and extending data collection from the conventional review of registers or files at the referral clinic to review of an electronic HIV database, national death register, and telephone contact with patients who could not otherwise be traced [31]–[35]. The observation that 28% of patients who linked to care choose to go to a clinic other than the one they were referred to for continuation of TB treatment demonstrates the importance of this approach. Our study also had several limitations. First, even though the sample size was large, some estimates were imprecise due to small cell numbers in covariate strata. Second, despite intensive investigations, exact dates of arrival were missing in up to 9% of patients, 15.7% of patients could not be traced regarding linkage to TB care and 19.3% could not be traced to obtain information on HIV care. In the analysis, these patients were assumed not to have linked to care, which may have overestimated the rate of failed linkage to care. The results of a sensitivity analysis, in which these patients were classified as having linked to care, however suggested that potential misclassification did not substantially influence our conclusions. In conclusion, the proportion of patients that failed to link to TB and HIV care was unacceptably high despite efforts to integrate TB and HIV care and streamline referral for patients diagnosed with TB at the hospital. The high rates of HIV co-infection and the high degree of immunosuppression in the population highlight the urgent need for strengthened linkages to and integration of care. Factors associated with linkage to care were predominantly health system related and could be improved through appropriate interventions. Efforts to improve linkage to care could include ART initiation during hospitalization to reduce the proportion of TB patients who are ART-naïve at time of referral; improving the quality and content of patient education and adapting referral information to the patient's level of education to overcome failure of linkage to care among those who lack formal education; discussing referral clinic options with the patient instead of simply assuming that the preferred clinic from the patient perspective is the one closest to their home; referring patients to a single clinic for integrated TB and HIV care; ensuring that ART-naïve patients are referred to a clinic that is accredited to initiate ART; and changing the standard reference referral letter to ensure that information on TB, HIV status and CD4 cell count is shared.
  30 in total

1.  'Lost' smear-positive pulmonary tuberculosis cases: where are they and why did we lose them?

Authors:  S B Squire; A K Belaye; A Kashoti; F M L Salaniponi; C J F Mundy; S Theobald; J Kemp
Journal:  Int J Tuberc Lung Dis       Date:  2005-01       Impact factor: 2.373

2.  Factors associated with treatment failure, dropout, and death in a cohort of tuberculosis patients in Recife, Pernambuco State, Brazil.

Authors:  Maria de Fátima Pessoa Militão de Albuquerque; Ricardo Arraes de Alencar Ximenes; Norma Lucena-Silva; Wayner Vieira de Souza; Andréa Tavares Dantas; Odimariles Maria Souza Dantas; Laura Cunha Rodrigues
Journal:  Cad Saude Publica       Date:  2007-07       Impact factor: 1.632

3.  Initial default from tuberculosis treatment: how often does it happen and what are the reasons?

Authors:  E Botha; S Den Boon; S Verver; R Dunbar; K-A Lawrence; M Bosman; D A Enarson; I Toms; N Beyers
Journal:  Int J Tuberc Lung Dis       Date:  2008-07       Impact factor: 2.373

4.  Default from tuberculosis treatment programme in Sagamu, Nigeria.

Authors:  O J Daniel; O T Oladapo; O K Alausa
Journal:  Niger J Med       Date:  2006 Jan-Mar

5.  Tuberculosis at Chris Hani Baragwanath Hospital: numbers of patients diagnosed and outcomes of referrals to district clinics.

Authors:  M E Edginton; M L Wong; R Phofa; D Mahlaba; H J Hodkinson
Journal:  Int J Tuberc Lung Dis       Date:  2005-04       Impact factor: 2.373

6.  Tuberculosis at Chris Hani Baragwanath Hospital: an intervention to improve patient referrals to district clinics.

Authors:  M E Edginton; M L Wong; H J Hodkinson
Journal:  Int J Tuberc Lung Dis       Date:  2006-09       Impact factor: 2.373

7.  Tuberculosis treatment default among HIV-TB co-infected patients in urban Uganda.

Authors:  Sawsan Elbireer; David Guwatudde; Peter Mudiope; Juliet Nabbuye-Sekandi; Yukari C Manabe
Journal:  Trop Med Int Health       Date:  2011-05-18       Impact factor: 2.622

8.  The "ART" of linkage: pre-treatment loss to care after HIV diagnosis at two PEPFAR sites in Durban, South Africa.

Authors:  Elena Losina; Ingrid V Bassett; Janet Giddy; Senica Chetty; Susan Regan; Rochelle P Walensky; Douglas Ross; Callie A Scott; Lauren M Uhler; Jeffrey N Katz; Helga Holst; Kenneth A Freedberg
Journal:  PLoS One       Date:  2010-03-04       Impact factor: 3.240

9.  Mortality during the first year of potent antiretroviral therapy in HIV-1-infected patients in 7 sites throughout Latin America and the Caribbean.

Authors:  Suely H Tuboi; Mauro Schechter; Catherine C McGowan; Carina Cesar; Alejandro Krolewiecki; Pedro Cahn; Marcelo Wolff; Jean W Pape; Denis Padgett; Juan Sierra Madero; Eduardo Gotuzzo; Daniel R Masys; Bryan E Shepherd
Journal:  J Acquir Immune Defic Syndr       Date:  2009-08-15       Impact factor: 3.731

10.  Integrating tuberculosis and HIV services for people living with HIV: costs of the Zambian ProTEST Initiative.

Authors:  Fern Terris-Prestholt; Lilani Kumaranayake; Rokaya Ginwalla; Helen Ayles; Ignatius Kayawe; Mary Hillery; Peter Godfrey-Faussett
Journal:  Cost Eff Resour Alloc       Date:  2008-01-23
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  15 in total

1.  A hospital-based tuberculosis focal point to improve tuberculosis care provision in a very high burden setting.

Authors:  E Jong; I M Sanne; A van Rie; C N Menezes
Journal:  Public Health Action       Date:  2013-03-21

Review 2.  HIV, tuberculosis, and noncommunicable diseases: what is known about the costs, effects, and cost-effectiveness of integrated care?

Authors:  Emily P Hyle; Kogieleum Naidoo; Amanda E Su; Wafaa M El-Sadr; Kenneth A Freedberg
Journal:  J Acquir Immune Defic Syndr       Date:  2014-09-01       Impact factor: 3.731

3.  Closing the reporting gap for childhood tuberculosis in South Africa: improving hospital referrals and linkages.

Authors:  K du Preez; H S Schaaf; R Dunbar; A Swartz; P Naidoo; A C Hesseling
Journal:  Public Health Action       Date:  2020-03-21

4.  The global burden of tuberculosis: results from the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet Infect Dis       Date:  2017-12-07       Impact factor: 71.421

5.  Successful Tuberculosis Treatment Outcomes among HIV/TB Coinfected Patients Down-Referred from a District Hospital to Primary Health Clinics in Rural South Africa.

Authors:  Karen B Jacobson; Anthony P Moll; Gerald H Friedland; Sheela V Shenoi
Journal:  PLoS One       Date:  2015-05-19       Impact factor: 3.240

6.  Community Perceptions of Community Health Workers (CHWs) and Their Roles in Management for HIV, Tuberculosis and Hypertension in Western Kenya.

Authors:  Beth Rachlis; Violet Naanyu; Juddy Wachira; Becky Genberg; Beatrice Koech; Regina Kamene; Jackie Akinyi; Paula Braitstein
Journal:  PLoS One       Date:  2016-02-22       Impact factor: 3.240

7.  Implementation of HIV and Tuberculosis Diagnostics: The Importance of Context.

Authors:  Joyelle K Dominique; Alberto A Ortiz-Osorno; Joseph Fitzgibbon; Devasena Gnanashanmugam; Christopher Gilpin; Timothy Tucker; Sheila Peel; Trevor Peter; Peter Kim; Steven Smith
Journal:  Clin Infect Dis       Date:  2015-10-15       Impact factor: 9.079

8.  Challenges from Tuberculosis Diagnosis to Care in Community-Based Active Case Finding among the Urban Poor in Cambodia: A Mixed-Methods Study.

Authors:  Natalie Lorent; Kimcheng Choun; Shelly Malhotra; Pichenda Koeut; Sopheak Thai; Kim Eam Khun; Robert Colebunders; Lut Lynen
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

9.  The clinical and economic impact of point-of-care CD4 testing in mozambique and other resource-limited settings: a cost-effectiveness analysis.

Authors:  Emily P Hyle; Ilesh V Jani; Jonathan Lehe; Amanda E Su; Robin Wood; Jorge Quevedo; Elena Losina; Ingrid V Bassett; Pamela P Pei; A David Paltiel; Stephen Resch; Kenneth A Freedberg; Trevor Peter; Rochelle P Walensky
Journal:  PLoS Med       Date:  2014-09-16       Impact factor: 11.069

10.  Identifying common barriers and facilitators to linkage and retention in chronic disease care in western Kenya.

Authors:  Beth Rachlis; Violet Naanyu; Juddy Wachira; Becky Genberg; Beatrice Koech; Regina Kamene; Jackie Akinyi; Paula Braitstein
Journal:  BMC Public Health       Date:  2016-08-08       Impact factor: 3.295

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