Research gaps in transforming tuberculosis data to action for better health outcomes: A systematic literature review

Kumar, Manish; Silver, Meredith; Chauffour, Jeanne; Boyle, Colleen; Boone, David

doi:10.7189/jogh.11.04058

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…The emergence of new, highly effective regimens may open a new way around RIF and INH resistance. Within a few years, we may see the first pan-TB regimen trials, aiming for a unique solution for both MDR and Ds-TB [211]. This will have the advantage of an easier operational implementation [212].…”

Section: Discussionmentioning

confidence: 99%

MDR Tuberculosis Treatment

et al. 2022

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Multidrug-resistant (MDR) tuberculosis (TB), resistant to isoniazid and rifampicin, continues to be one of the most important threats to controlling the TB epidemic. Over the last few years, there have been promising pharmacological advances in the paradigm of MDR TB treatment: new and repurposed drugs have shown excellent bactericidal and sterilizing activity against Mycobacterium tuberculosis and several all-oral short regimens to treat MDR TB have shown promising results. The purpose of this comprehensive review is to summarize the most important drugs currently used to treat MDR TB, the recommended regimens to treat MDR TB, and we also summarize new insights into the treatment of patients with MDR TB.

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Section: Discussionmentioning

confidence: 99%

MDR Tuberculosis Treatment

et al. 2022

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“…6 To develop a holistic maturity model, following a systematic review, a set of 16 datato-action measurement dimensions were identified and defined. 7 An important next step was to describe the characteristics of each of the data-to-action dimensions across a continuum and facilitate expert validation to finalize the dimensions, continuum levels, and description of dimensions across all the levels with a focus on NTP users at the national, subnational, district, and facility levels (e.g., the monitoring and evaluation [M&E] director, NTP manager, facility managers, laboratory manager, etc.). To enable contextual decision-making, a data-to-action continuum (D2AC) scale was developed, following a user-centered and iterative design process, by a core group of the TB Data, Impact Assessment and Communications Hub (TB DIAH) project under the guidance of an advisory group consisting of international and country-level TB and data system experts.…”

Section: Discussionmentioning

confidence: 99%

“…These dimensions responded to the research question that aimed to identify appropriate dimensions required to improve NTP capabilities for transforming data to action. 7 A seventeenth dimension was added later in the D2AC scale development process.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Access and user-friendliness have been essential components to the Toolkit design-making the navigation throughout the different Toolkit's components intuitive and for all the necessary resources (e.g., glossary, continuum level definitions, scale) to be accessible to users while they complete the data collection instrument. 7 Furthermore, the initial design of the Tool on Microsoft Excel made the Toolkit available and able to complete offline, hence not requiring an uninterrupted working Internet connection to save responses, proceed with the questionnaire, and save or submit results. A digital version of the Toolkit is being developed in Fall 2022 and will be available on the TB DIAH Hub.…”

Section: Limitations and Challengesmentioning

confidence: 99%

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Development and expert validation of a ‘Data-to-Action Continuum’ to measure and advance the data-use capabilities of national tuberculosis programs

Kumar

Chauffour

Silver

et al. 2022

Journal of Global Health Reports

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Background The Data-to-Action Continuum (D2AC) Toolkit is intended to advance the data use capabilities associated with people, processes, technology, and institutions of national tuberculosis programs (NTPs). It empowers NTPs and stakeholders to measure current capabilities, identify areas amenable to interventions to build future capacities, and helps align the TB information system to better achieve the NTP’s goals. This paper describes the development process of the D2AC Toolkit, whose aim is to enable NTPs and stakeholders—especially the policymakers, program managers, and laboratory and facility managers—to precisely gauge the barriers limiting the use of data for action and devise appropriate interventions to address them. Methods Building on a scientific and grey literature foundation, the D2AC Toolkit was collaboratively developed by a core group of the TB data, Impact Assessment and Communications Hub (TB DIAH) project. The Toolkit was validated by a group of international and country-level experts following an iterative and user-centered process employing mixed methods. Results The expert-validated D2AC Toolkit measures appropriate capabilities required to transform data to action in the context of an NTP at the national, regional, district, and facility levels across five domains and 17 subdomains using a five-point Likert scale: nascent, defined, established, institutionalized, and optimized. Conclusions The continuum describes the status of various domains and corresponding subdomains and enables the identification of future goals for each subdomain. The future capabilities are meant to guide the development of an improvement path toward the desired level of advancement and monitor progress toward the desired goals. By integrating an iterative and user-centered process and using mixed methods, the D2AC Toolkit enables policymakers, program managers, and service providers to gauge current capabilities, identify future priorities, and develop an implementation plan to improve the organizational ability to transform data to action for achieving tuberculosis program goals.

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“…Kumar 2021 [43] Synthesis "The analysis, synthesis, interpretation and review of data as part of decision-making processes such as program monitoring, policy development, and resource allocation." "'Data to action' refers to data-based decision making that shows a measurable impact of improvements in processes, systems, human resources, and institutional attributes.…”

Section: Data Use Is Defined By Decisions and Actions Informed By Datamentioning

confidence: 99%

Refining the Performance of Routine Information System Management (PRISM) framework for data use at the local level: An integrative review

et al. 2023

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Introduction Foundational to a well-functioning health system is a strong routine health information system (RHIS) that informs decisions and actions at all levels of the health system. In the context of decentralization across low- and middle-income countries, RHIS has the promise of supporting sub-national health staff to take data-informed actions to improve health system performance. However, there is wide variation in how “RHIS data use” is defined and measured in the literature, impeding the development and evaluation of interventions that effectively promote RHIS data use. Methods An integrative review methodology was used to: (1) synthesize the state of the literature on how RHIS data use in low- and middle-income countries is conceptualized and measured; (2) propose a refined RHIS data use framework and develop a common definition for RHIS data use; and (3) propose improved approaches to measure RHIS data use. Four electronic databases were searched for peer-reviewed articles published between 2009 and 2021 investigating RHIS data use. Results A total of 45 articles, including 24 articles measuring RHIS data use, met the inclusion criteria. Less than half of included articles (42%) explicitly defined RHIS data use. There were differences across the literature whether RHIS data tasks such as data analysis preceded or were a part of RHIS data use; there was broad consensus that data-informed decisions and actions were essential steps within the RHIS data use process. Based on the synthesis, the Performance of Routine Information System Management (PRISM) framework was refined to specify the steps of the RHIS data use process. Conclusion Conceptualizing RHIS data use as a process that includes data-informed actions emphasizes the importance of actions in improving health system performance. Future studies and implementation strategies should be designed with consideration for the different support needs for each step of the RHIS data use process.

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Research gaps in transforming tuberculosis data to action for better health outcomes: A systematic literature review

Cited by 4 publications

References 11 publications

MDR Tuberculosis Treatment

MDR Tuberculosis Treatment

Development and expert validation of a ‘Data-to-Action Continuum’ to measure and advance the data-use capabilities of national tuberculosis programs

Refining the Performance of Routine Information System Management (PRISM) framework for data use at the local level: An integrative review

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