Table 1.
Research questions | Potential research approaches | Relevance |
---|---|---|
Gap 1: Case-finding | ||
Which populations do not have access to TB services? | • Analysis of data from national demographic and health surveys • Local exercises mapping the geographic distribution of notified patients in relation to the availability of TB services |
• May help to identify locations where TB services need to be expanded to ensure access to high-risk populations • May identify populations that would benefit from novel community-based strategies such as use of health extension workers for TB screening |
Why do some individuals with active TB in the population not seek care or delay seeking care? | • Interviews with individuals diagnosed with TB in prevalence surveys who have not sought care • Interviews with individuals with symptoms concerning for TB in the community who have not sought care • Interviews with TB patients who had substantial delay in seeking care |
• May help guide targeting of public education strategies via radio, television, or social media • May help identify the types of individuals who should be prioritized in community active case-finding activities |
Why do some healthcare providers (HCPs) not refer individuals for TB testing? | • Questionnaires using clinical vignettes to assess HCP knowledge • Standardized patient studies to assess actual HCP behavior • Qualitative research to understand HCPs’ clinical decision-making |
• May help identify types of HCPs who lack necessary knowledge or provide suboptimal care with regard to TB evaluation and testing • Standardized patient and knowledge assessments provide approaches for testing the benefits of interventions aimed at modifying behavior, including education of HCPs, use of incentives, and provision of support through public-private initiatives • Understanding HCPs clinical decision-making may facilitate educational strategies targeted at shifting their behavior |
How can case detection rates of active case-finding (ACF) initiatives be increased? | • ACF trials focusing on high-risk groups, such as household contacts, people living with HIV (PLHIV), or individuals with silica exposure • ACF trials using identification of geographic TB hotspots to facilitate spatial targeting of case-finding approaches |
• May help identify the most efficient approaches for focusing ACF initiatives to increase the case detection and therefore the number of individuals entering the TB care cascade |
Gap 2: Diagnosis | ||
Which patients disproportionately do not get diagnosed with TB? | • Cross-sectional studies using exit interviews with structured or qualitative data collection to identify patients presenting to different health system levels who have not been tested for TB despite having symptoms • Cohort studies to understand which patients are not being appropriately tested |
• May help to identify whether certain groups are being disproportionately missed |
Why do some patients not get appropriately diagnosed with TB, despite getting evaluated and tested? | • Patient pathways analyses to understand where TB tests are available in relation to patient care-seeking • Cohort studies to understand risk factors for patient attrition during the TB diagnostic workup • Qualitative research to understand barriers in the TB evaluation process |
• May help identify types of health facilities where World Health Organization (WHO)-approved TB tests are not accessible or feasible to implement, requiring a triage and referral mechanism • May help to identify patient characteristics that predict attrition during TB evaluation to facilitate development of targeted interventions • May help to identify health system barriers that need to be addressed to facilitate completion of the TB diagnostic process or whether the appropriate diagnostic algorithms are being used |
How do we improve diagnosis of TB test-negative (i.e., smear-negative, Xpert-negative) TB patients? | • Cohort studies to understand patient attrition during the TB diagnostic workup, with a specific focus on TB diagnostic test-negative patients • Qualitative research to understand barriers in the TB evaluation process |
• May facilitate approaches for simplifying algorithms for the diagnostic workup of test-negative TB to reduce patient attrition |
Gap 3: Linkage to care | ||
Why do some diagnosed TB patients experience pretreatment loss to follow-up (PTLFU)? | • Cohort studies to understand patient attrition during linkage to care • Qualitative research to understand challenges in the process of linkage to care |
• May help to identify patient characteristics that predict PTLFU • May help to identify health system barriers contributing to PTLFU • May inform development of technology- and human-resource-based interventions to improve linkage to care |
Gap 4: Retention on therapy and medication adherence | ||
Why do some patients experience suboptimal TB treatment outcomes or medication non-adherence? | • Cohort studies to understand patient attrition during TB treatment or non-adherence to medications • Qualitative research to understand barriers to completing TB treatment or adhering to medications |
• May help to identify patient characteristics that predict suboptimal treatment outcomes or medication non-adherence • May help to identify health system barriers contributing to suboptimal treatment outcomes or medication non-adherence • May inform development of technology- and human-resource-based interventions to TB treatment outcomes and medication adherence |
Gap 5: Post-treatment TB recurrence-free survival | ||
Why do some TB patients experience post-treatment disease recurrence or death after finishing treatment? | • Cohort studies to understand post-treatment TB recurrence or mortality • Studies assessing post-treatment disability, mental health, pulmonary function, and emerging chronic diseases |
• May help to identify patient characteristics that predict post-treatment disease recurrence and mortality • May help to inform the development of approaches to post-treatment care for TB patients that would aim to achieve early identification of disease recurrence while facilitating treatment of post-TB sequelae, such as chronic lung disease |