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dc.contributor.authorOga-Omenka, Charity
dc.contributor.authorBoffa, Jody
dc.contributor.authorKuye, Joseph
dc.contributor.authorDakum, Patrick
dc.contributor.authorMenzies, Dick
dc.contributor.authorZarowsky, Christina
dc.date.accessioned2020-10-26T18:04:06Z
dc.date.available2020-10-26T18:04:06Z
dc.date.issued2020-12-01
dc.identifier.urihttp://hdl.handle.net/10713/13935
dc.description.abstractBackground: Despite the availability of free drug-resistant tuberculosis (DR-TB) care in Nigeria since 2011, the country continues to tackle low case notification and treatment rates. In 2018, 11% of an estimated 21,000 cases were diagnosed and 9% placed on treatment. These low rates are nevertheless a marked improvement from 2015 when only 3.4% were diagnosed and 2.3% placed on treatment of an estimated 29,000 cases. This study describes the Nigerian DR-TB care cascade from 2013 to 2017 and considers factors influencing gaps in care. Methods: Our study utilized a mixed-method design. For the quantitative component, we utilized the national diagnosis and treatment databases, as well as the World Health Organization's estimates for prevalence to construct a 5-year care cascade: numbers of patients at each level of DR-TB care, including incident cases, individuals who accessed testing, were diagnosed, initiated treated and completed treatment in Nigeria between 2013 and 2017. Using retrospective data for patients diagnosed in 2015, we performed the Fisher's exact test to determine the association between patient (age and gender) and provider/patient (region- north or south) variables, permitting a closer look at the gaps in care revealed across the 5 years. Barriers to care were explored using framework thematic analysis of 57 qualitative interviews and focus group discussions with patients, including 5 cases not initiated on treatment from the 2015 cohort, treatment supporters, community members, healthcare workers and program managers in 2017. Results: A 5-year analysis of cascade of care data shows significant, but inadequate, increases in overall numbers of cases accessing care. On average, between 2013 and 2017, 80% of estimated cases did not access testing; 75% of those who tested were not diagnosed; 36% of those diagnosed were not initiated on treatment and 23% of these did not finish treatment. In 2015, children and patients in Northern Nigeria had odds of 0.3 [95% CI 0.1–0.7] and 0.4 [0.3–0.5] of completing treatment once diagnosed; while males were shown to have a 1.34 [95% CI 1.0–1.7] times greater chance of completing treatment after diagnosis. The main themes from qualitative data identified barriers to care along the care cascade at individual, family and community, as well as health systems levels. At the individual level, a lack of awareness of the true cause of disease and the availability of ‘free’ care was a recurring theme. Family interference was found to be a particular challenge for children and women. At the health system level, low index of suspicion, lack of rapid diagnostic tools and human resource shortages appeared to limit patients’ access. Conclusions: Any gains in diagnostic technology and shorter regimens are lost with inadequate access to DR-TB services. The biggest losses in the Nigerian cascade happen before treatment initiation. There is a need for urgent action on identified gaps in the DR-TB cascade in order to improve care continuity at multiple stages, improve health service delivery and facilitate TB control in Nigeria.en_US
dc.description.sponsorshipGlobal Fund New Funding Model MDRTB Granten_US
dc.description.urihttps://doi.org/10.1016/j.jctube.2020.100193en_US
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofJournal of Clinical Tuberculosis and Other Mycobacterial Diseasesen_US
dc.subjectAccess to healthcareen_US
dc.subjectDiagnosis and treatmenten_US
dc.subjectDrug-resistant tuberculosisen_US
dc.subjectMixed-methodsen_US
dc.subjectNigeriaen_US
dc.subjectTB Care Cascadeen_US
dc.titleUnderstanding the gaps in DR-TB care cascade in Nigeria: A sequential mixed-method studyen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jctube.2020.100193
dc.source.volume21


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