| Literature DB >> 31788564 |
Kogieleum Naidoo1,2, Santhanalakshmi Gengiah1, Satvinder Singh3, Jonathan Stillo4, Nesri Padayatchi1,2.
Abstract
Tuberculosis (TB) is the leading infectious cause of death among people living with HIV, causing one third of AIDS-related deaths globally. The concerning number of missing TB cases, ongoing high TB mortality, slow reduction in TB incidence, and limited uptake of TB preventive treatment among people living with HIV, all indicate the urgent need to improve quality of TB services within HIV programs. In this mini-review we discuss major gaps in quality of TB care that impede achieving prevention and treatment targets within the TB-HIV care cascades, show approaches of assessing gaps in TB service provision, and describe outcomes from innovative quality improvement projects among HIV and TB programs. We also offer recommendations for measuring quality of TB care.Entities:
Keywords: Gaps; Quality of Care; Solutions; TB; Tuberculosis
Year: 2019 PMID: 31788564 PMCID: PMC6880007 DOI: 10.1016/j.jctube.2019.100122
Source DB: PubMed Journal: J Clin Tuberc Other Mycobact Dis ISSN: 2405-5794
Suggested approaches to measure quality of TB care in resource limited settings.
| Author and year | Measurement problem identified | Proposed approach to measuring quality in TB care | Recommended measures of quality in TB Care |
| Cazabon (2017) | - Bias in specific measures of TB care quality (e.g. observational bias, patient and healthcare worker recall bias) | - TB diagnostic delays provide a good surrogate marker for quality of TB care | - Time to TB diagnosis from first screening visit |
| Naidoo (2017) | - No accurate data on TB disease burden in South Africa, as the TB prevalence surveys have not been conducted. | - Constructing care cascades to identify gaps in TB care and quantify losses at: access to TB diagnostic tests, diagnosis, treatment initiation, and treatment completion | - Construct continuum of TB care for defined periods using TB data from national laboratories, registers, and published studies: those that accessed tests, those diagnosed with TB, those notified and treated, those that successfully completed Rx |
| Satyanarayana (2015) | - Quality in TB care as stipulated by the International Standards of TB care is not well known or followed, hence, many TB programs/TB research studies do not benchmark TB care standards appropriately | - Qualitative assessments, self-report surveys and direct observation to: assess healthcare workers knowledge, evaluate practices and standards in delivering TB care services against an internationally accepted benchmark | - Derive indicators of quality TB care from ISTC (International Standards of TB Care): |
| Jannati (2018) | - Crude coverage rates of services not a true reflection of healthcare performance | - Addressed healthcare performance in general and recommends that each healthcare intervention must define its own quality standards and measures using a suggested formula | Authors proposed a general formula: |
Fig. 1Health systems challenges impacting quality of TB care. Refs. [17], [18], [27], [47], [63], [67], [68], [70] are used in this Figure.
Case studies of quality improvement programs in TB-HIV.
| Author and Year | Country | Problem | Quality improvement aim | Main change ideas | Outcome of the QI initiative |
| Karamagi (20180 | Uganda | Late presentation of symptomatic patients for TB services | To improve TB case notification rates in populations most vulnerable to TB | QI techniques combined with facility-led active case finding in the community | - Overall, TB case notification increased from 171 to 223 per 100,000 population between December 2016 and June 2017 |
| Heldal (2019) | Zimbabwe | Poor quality of TB data and poor-quality patient care | To improve the quality of TB patient data and care | - Staff validated, tabulated and analysed data quarterly to identify challenges and agree on action points at 'data-driven' supervision and performance review meetings | - Significant increase in identification of presumptive TB (63% vs. 30%; |
| Webster (2011) | South Africa | Low levels of ART initiation in resource limited settings in South Africa | To accelerate ART initiation for those requiring treatment. | - series of activities promoting early identification of ART eligible patients (incl. community awareness campaigns, fast tracking low CD4 count patients to ART initiation rooms, HIV testing campaigns outside of the clinic) | - Increased HIV testing from 891/month (SD: 94.2) to 3580/month (SD: 327.7) ( |
| Golden (2018) | South Africa | HIV retesting in women during pregnancy was low | Quality Improvement Project (QIP) to raise the performance of antenatal HIV re-testing | - Conducted root cause analyses to identify weaknesses in HIV re-testing systems | - Re-testing for HIV increased from 36% in three months pre-intervention phase to full coverage at month nine. Re-testing in QI clinics was 20% higher than control clinics. |
| Sunpath (2018) | South Africa | Laboratory viral load monitoring is underutilized, jeopardizing the chances of meeting the 3rd goal of the 90–90–90 strategy | Implemented a viral load champion (VLC) program aimed at enhancing VL monitoring and recognition of treatment failure. | - A Viral Load standard operating procedures (SOP) was developed and implemented in study clinics | - Pre-implementation VL testing completion rates among patients was 68% (140/205), 54% (84/155) 64% (323/504 respectively), compared to the 6-month post-implementation completion rates of 83% (995/1194), 90% (793/878 and 99% (3101/3124) (P 0.0001 for each site) |
| - | |||||
| Ogarkov (2016) | Siberia | Low ART coverage in TB patients | Pre and post intervention assessments following introduction of a bundle of initiatives aimed at | Adapting educational messages | ART initiation rates in HIV-TB co-infected patients increased significantly from 17% pre-intervention to 54% post-intervention |