Building coherence and synergy among global health initiatives.

BACKGROUND: The fast growth of global health initiatives (GHIs) has raised concerns regarding achievement of coherence and synergy among distinct, complementary and sometimes competing activities. Herein, we propose an approach to compare GHIs with regard to their main purpose and operational aspects, using the Special Programme for Research and Training in Tropical Diseases (TDR/WHO) as a case study. The overall goal is to identify synergies and optimize efforts to provide solutions to reduce the burden of diseases. METHODS: Twenty-six long-established GHIs were identified from among initiatives previously associated/partnered with TDR/WHO. All GHIs had working streams that would benefit from linking to the capacity building or implementation research focus of TDR. Individual profiles were created using a common template to collect information on relevant parameters. For analytical purposes, GHIs were simultaneously clustered in five and eight groups according to their 'intended outcome' and 'operational framework', respectively. A set of specific questions was defined to assess coherence/alignment against a TDR reference profile by attributing a score, which was subsequently averaged per GHI cluster. GHI alignment scores for intended outcome were plotted against scores for operational framework; based on the analysis of coherence/alignment with TDR functions and operations, a risk level (high, medium or low) of engagement was attributed to each GHI. RESULTS: The process allowed a bi-dimensional ranking of GHIs with regards to how adequately they fit with or match TDR features and perspectives. Overall, more consistence was observed with regard to the GHIs' main goals and expected outcomes than with their operational aspects, reflecting the diversity of GHI business models. Analysis of coherence indicated an increasing common trend for enhancing the engagement of developing country stakeholders, building research capacity and optimization of knowledge management platforms in support of improved access to healthcare. CONCLUSIONS: The process used offers a broader approach that could be adapted by other GHIs to build coherence and synergy with peer organizations and helps highlight the potential contribution of each GHI in the new era of sustainable development goals. Emerging opportunities and new trends suggest that engagement between GHIs should be selective and tailored to ensure efficient collaborations.

Indicators for tracking programmes to strengthen health research capacity in lower- and middle-income countries: a qualitative synthesis.

BACKGROUND: The monitoring and evaluation of health research capacity strengthening (health RCS) commonly involves documenting activities and outputs using indicators or metrics. We sought to catalogue the types of indicators being used to evaluate health RCS and to assess potential gaps in quality and coverage. METHODS: We purposively selected twelve evaluations to maximize diversity in health RCS, funders, countries, and approaches to evaluation. We explored the quality of the indicators and extracted them into a matrix across individual, institutional, and national/regional/network levels, based on a matrix in the ESSENCE Planning, Monitoring and Evaluation framework. We synthesized across potential impact pathways (activities to outputs to outcomes) and iteratively checked our findings with key health RCS evaluation stakeholders. RESULTS: Evaluations varied remarkably in the strengths of their evaluation designs. The validity of indicators and potential biases were documented in a minority of reports. Indicators were primarily of activities, outputs, or outcomes, with little on their inter-relationships. Individual level indicators tended to be more quantitative, comparable, and attentive to equity considerations. Institutional and national-international level indicators were extremely diverse. Although linkage of activities through outputs to outcomes within evaluations was limited, across the evaluations we were able to construct potential pathways of change and assemble corresponding indicators. CONCLUSIONS: Opportunities for improving health RCS evaluations include work on indicator measurement properties and development of indicators which better encompass relationships with knowledge users. Greater attention to evaluation design, prospective indicator measurement, and systematic linkage of indicators in keeping with theories of change could provide more robust evidence on outcomes of health RCS.

Frameworks for evaluating health research capacity strengthening: a qualitative study.

BACKGROUND: Health research capacity strengthening (RCS) projects are often complex and hard to evaluate. In order to inform health RCS evaluation efforts, we aimed to describe and compare key characteristics of existing health RCS evaluation frameworks: their process of development, purpose, target users, structure, content and coverage of important evaluation issues. A secondary objective was to explore what use had been made of the ESSENCE framework, which attempts to address one such issue: harmonising the evaluation requirements of different funders. METHODS: We identified and analysed health RCS evaluation frameworks published by seven funding agencies between 2004 and 2012, using a mixed methods approach involving structured qualitative analyses of documents, a stakeholder survey and consultations with key contacts in health RCS funding agencies. RESULTS: The frameworks were intended for use predominantly by the organisations themselves, and most were oriented primarily towards funders' internal organisational performance requirements. The frameworks made limited reference to theories that specifically concern RCS. Generic devices, such as logical frameworks, were typically used to document activities, outputs and outcomes, but with little emphasis on exploring underlying assumptions or contextual constraints. Usage of the ESSENCE framework appeared limited. CONCLUSIONS: We believe that there is scope for improving frameworks through the incorporation of more accessible information about how to do evaluation in practice; greater involvement of stakeholders, following evaluation capacity building principles; greater emphasis on explaining underlying rationales of frameworks; and structuring frameworks so that they separate generic and project-specific aspects of health RCS evaluation. The third and fourth of these improvements might assist harmonisation.

Protocol for a pragmatic cluster randomised controlled trial to evaluate the effectiveness of digital health interventions in improving non-communicable disease management during the pandemic in rural Pakistan.

BACKGROUND: The COVID-19 pandemic has revealed gaps in global health systems, especially in the low- and middle-income countries (LMICs). Evidence shows that patients with non-communicable diseases (NCDs) are at higher risk of contracting COVID-19 and suffering direct and indirect health consequences. Considering the future challenges such as environmental disasters and pandemics to the LMICs health systems, digital health interventions (DHI) are well poised to strengthen health care resilience. This study aims to implement and evaluate a comprehensive package of DHIs of integrated COVID-NCD care to manage NCDs in primary care facilities in rural Pakistan. METHODS: The study is designed as a pragmatic, parallel two-arm, multi-centre, mix-methods cluster randomised controlled trial. We will randomise 30 primary care facilities in three districts of Punjab, where basic hypertension and diabetes diagnosis and treatment are provided, with a ratio of 1:1 between intervention and control. In each facility, we will recruit 50 patients who have uncontrolled hypertension. The intervention arm will receive training on an integrated COVID-NCD guideline, and will use a smartphone app-based telemedicine platform where patients can communicate with health providers and peer-supporters, along with a remote training and supervision system. Usual care will be provided in the control arm. Patients will be followed up for 10 months. Our primary indicator is systolic blood pressure measured at 10 months. A process evaluation guided by implementation science frameworks will be conducted to explore implementation questions. A cost-effectiveness evaluation will be conducted to inform future scale up in Pakistan and other LMICs. DISCUSSION: Our study is one of the first randomised controlled trials to evaluate the effectiveness of DHIs to manage NCDs to strengthen health system resilience in LMICs. We will also evaluate the implementation process and cost-effectiveness to inform future scale-up in similar resource constrained settings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier-NCT05699369.

Increasing Effectiveness and Equity in Strengthening Health Research Capacity Using Data and Metrics: Recent Advances of the ESSENCE Mechanism.

Background: The ESSENCE on Health Research initiative established a Working Group on Review of Investments in 2018 to improve coordination and collaboration among funders of health research capacity strengthening. The Working Group comprises more than a dozen ESSENCE members, including diverse representation by geography, country income level, the public sector, and philanthropy. Objective: The overall goal of the Working Group is increased research on national health priorities as well as improved pandemic preparedness, and, ultimately, fewer countries with very limited research capacity. Methods: We developed a basic set of metrics for national health research capacity, assessed different models of coordination and collaboration, took a deeper dive into eight countries to characterize their national research capacity, and began to identify opportunities to better coordinate our investments. In this article, we summarize the presentations, discussions, and outcomes of our second annual (virtual) meeting, which had more than 100 participants representing funders, researchers, and other stakeholders from higher- and lower-income countries worldwide. Findings and conclusions: Presentations on the first day included the keynote speaker, Dr. Soumya Swaminathan, chief scientist of the World Health Organization (WHO), and updates on data and metrics for research capacity, which are critical to establish targets, road maps, and budgets. The second day focused on improving collaboration and coordination among funders and other stakeholders, the potential return on investment for health research, ongoing work to increase coordination at the country level, and examples of research capacity strengthening efforts in diverse health research areas from around the world. We concluded that an intentional data- and metric-driven approach to health research capacity strengthening, emphasizing coordination among funders, local leadership, and equitable partnerships and allocation of resources, will enhance the health systems of resource-poor countries as well as the world's pandemic preparedness.

Breaking the paradigm: Optimized Case Finding multiplies tuberculosis detection among key populations in Ukraine.

INTRODUCTION: In 2018, there were 3 million "missed" tuberculosis (TB) cases globally, much of which was disproportionally concentrated among key populations. To enhance TB case-finding, an Optimized Case Finding (OCF) strategy involving all contacts within the social network of an index TB case was introduced in five regions of Ukraine. We assessed TB detection and linkage to TB treatment using OCF in key populations. METHODOLOGY: A cohort study using routine program data (July 2018 - March 2020). OCF empowers the index TB case to identify and refer up to eight close contacts within his/her social network for TB investigations. RESULTS: Of 726 index TB cases in key populations, 6,998 close contacts were referred for TB investigations and 275 were diagnosed with TB (183 drug-sensitive and 92 drug-resistant TB). The TB case detection rate was 3,930/100,000 and the Numbers Needed to Investigate to detect one TB case was 25. TB was most frequent among people who inject drugs and homeless groups. Compared to TB detection using routine household case finding within the general population (1,090/100,000), OCF was 3.6-fold more effective and when compared to passive case finding in the general population (60/100,000), OCF was 66 times more effective. 99% (273) of TB patients were linked to care and initiated TB treatment. CONCLUSIONS: The OCF strategy among key populations is very effective in identifying TB cases and involving them for treatment through the recruitment of the contacts from the risk social networks. We advocate to scale-up this case finding strategy in Ukraine and beyond.

Going virtual for research training during the COVID-19 pandemic and beyond: e-SORT IT.

The Structured Operational Research and Training Initiative (SORT IT) model has contributed to building research capacity and has produced evidence for improving public health program performance in countries with limited research capacity. The model involves hands-on mentorship and consists of three modules/weeks. It is recognized to be an innovative research capacity building model. In a world changed by COVID-19, where bringing people together is not viable, an innovative, interactive, web-based, knowledge-transfer platform (e-SORT IT) for virtual implementation of SORT IT modules was created. The platform design imitated the residential course as closely as possible with the same lectures, plenary sessions, and breakout rooms. Despite the challenges, the platform performed well and even though participants and mentors were located in eight different time zones, the course was successful; 90% of participants achieved their milestones and 10 manuscripts were successfully completed. Participant evaluation revealed a satisfaction level that was nearly equivalent to the residential module. However, mentor evaluation indicated a number of shortcomings including capacity building, professional networking, communication, engagement, and contribution by participants, as well as overall module success. In conclusion, COVID-19 stimulated the creation of the e-SORT IT platform that provided a functional alternative to the residential version. Despite the limitations of reduced capacity building and networking, the e-SORT IT platform should be considered a success - it delivered the goods. This is an example of innovation and flexibility, two attributes that are sorely needed to maintain activities during the pandemic and beyond.

People Who Inject Drugs and have tuberculosis: Opioid Substitution Therapy improves treatment outcomes in Ukraine.

INTRODUCTION: Opioid substitution therapy (OST) is one of the pillars of harm reduction strategies for People Who Inject Drugs (PWID). It should be an integral part of tuberculosis (TB) care to increase the uptake, compliance and effectiveness of treatment and also curtail risk behaviors. We aimed to compare TB treatment outcomes in relation to OST among PWID in six regions of Ukraine. METHODOLOGY: A retrospective cohort study using routine programmatic data from centers offering integrated TB and OST (December 2016 - May 2020). OST involved use of methadone or buprenorphine. TB treatment outcomes were standardized. RESULTS: Of 228 PWID (85% male) diagnosed with TB, 104 (46%) had drug-sensitive and 124 (64%) drug-resistant TB. The majority had pulmonary TB (95%), 64 (28%) were HCV-positive and 179 (78%) were HIV-positive, 91% of the latter were also on antiretroviral therapy. There were 114 (50%) PWID with TB on OST. For drug-sensitive TB (n=104), treatment success was significantly higher (61%) in those on adjunctive OST than those not on OST (42%, P<0.001). Similarly, for drug-resistant TB (n=124) treatment success was also significantly higher when individuals were on OST (43%) compared to when not on OST (26%, P<0.001). CONCLUSIONS: This operational research study shows that OST is associated with significantly improved treatment success in PWID and can contribute to achieving Universal Health Coverage and the WHO Flagship Initiative "Find.Treat.All. #End TB". We advocate for the scale-up of this intervention in Ukraine.

Politics of disease control in Africa and the critical role of global health diplomacy: A systematic review.

Background: Africa is facing the triple burden of communicable diseases, non-communicable diseases (NCDs), and nutritional disorders. Multilateral institutions, bilateral arrangements, and philanthropies have historically privileged economic development over health concerns. That focus has resulted in weak health systems and inadequate preparedness when there are outbreaks of diseases. This review aims to understand the politics of disease control in Africa and global health diplomacy's (GHD's) critical role. Methods: A literature review was done in Medline/PubMed, Web of Science, Scopus, Embase, and Google scholar search engines. Keywords included MeSH and common terms related to the topics: "Politics," "disease control," "epidemics/ endemics," and "global health diplomacy" in the "African" context. The resources also included reports of World Health Organization, United Nations and resolutions of the World Health Assembly (WHA). Results: African countries continue to struggle in their attempts to build health systems for disease control that are robust enough to tackle the frequent epidemics that plague the continent. The politics of disease control requires the crafting of cooperative partnerships to accommodate the divergent interests of multiple actors. Recent outbreaks of COVID-19 and Ebola had a significant impact on African economies. It is extremely important to prioritize health in the African development agendas. The African Union (AU) should leverage the momentum of the rise of GHD to (i) navigate the politics of global health governance in an interconnected world(ii) develop robust preparedness and disease response strategies to tackle emerging and reemerging disease epidemics in the region (iii) address the linkages between health and broader human security issues driven by climate change-induced food, water, and other insecurities (iv) mobilize resources and capacities to train health officials in the craft of diplomacy. Conclusion: The AU, Regional Economic Communities (RECs), and African Centres for Disease Control should harmonize their plans and strategies and align them towards a common goal that integrates health in African development agendas. The AU must innovatively harness the practice and tools of GHD towards developing the necessary partnerships with relevant actors in the global health arena to achieve the health targets of the Sustainable Development Goals.

Gaps in tuberculosis control in Armenia: How to improve the care system?

INTRODUCTION: Tuberculosis (TB) continues to be a global public health problem. People with weakened immune systems are more vulnerable to TB. It is one of the top 10 causes of death worldwide and is a leading cause of death for people living with HIV (PLWH). The aim of the current study was to perform programmatic data analysis of TB cases treated with the first-line drugs, registered in Armenia for the period of January 2017 - August 2018, and to identify gaps in TB care system in Armenia. METHODOLOGY: A retrospective cohort study using programmatic data from National TB Program. RESULTS: Overall treatment success rate for the period of study was 79%. HIV had impact only on "died" outcome with odds ratio (OR) of 20.9. More than a third (34%) of all HIV-positive patients died during TB treatment and 45% of patients who had non-Armenian citizenship were lost to follow-up during the treatment (OR = 3.3). Treatment duration for the 8% of all cases (mainly with brain or bone localization) was > 9 months and lasted up to 500 days. CONCLUSIONS: Better collaboration and partial integration of TB and HIV services in Armenia is required. The access to care for non-Armenian citizens needs to be improved. The national TB treatment guideline needs to be updated based on scientific evidence. This study demonstrates that continuous analysis of the available data and tailoring of the system is required to address the needs of key populations and achieve universal care coverage.

Tuberculosis in key populations in Tajikistan - a snapshot in 2017.

INTRODUCTION: WHO End TB Strategy aims at achieving targets of 90% mortality reduction and 80% reduction in tuberculosis (TB) incidence by 2030, recommending better addressing TB and multidrug-resistant TB (MDR-TB) issues in key populations. AIM: The study aimed at having a snapshot of the epidemiological characteristics of the key populations among the new TB patients, registered in Tajikistan during 2017. METHODOLOGY: A cross-sectional study was conducted, using official TB registration data for all new TB case notification in Tajikistan in 2017. RESULTS: The key population included 1,029 (19.8%) patients among all 5,182 new TB cases registered in 2017. The following selected sub-populations were identified: migrant workers - 728 (70.7%), diabetics - 162 (15.7%), HIV-positive - 138 (13.4%), heavy drinkers - 74 (7.2%), drug users - 50 (4.8%), ex-prisoners - 50 (4.8%), and homeless - 9 (0.9%). Among the key population, 307 (29.8%) patients were smear-positive, 145 (14.1%) were drug-sensitive and 116 (11.3%) had MonoDR/MDR-TB. Time to treatment initiation for smear-positive cases was ≤ 5 days for 303 (98.7%) patients. Being a key population was inversely related to gender (female) (OR = 0.25, 95% CI (0.21, 0.29)) and population type (rural) (OR = 0.64, 95% CI (0.55, 0.74)). CONCLUSION: Among the key population the identified overlaps of selected sub-populations would enable more efficiently reaching the certain groups. TB case detection at PHC levels needs to be targeted for improved rates for key population detection. In the key population sub-group of migrant workers' special migration destinations are recommended to be explored and find out possible associations with drug resistance.

Strengthening the core health research capacity of national health systems helps build country resilience to epidemics: a cross-sectional survey.

Background:  TDR, The Special Programme for Research and Training hosted at the World Health Organization, has long supported Low- and Middle-Income Countries in strengthening research capacity through three training programmes: the Postgraduate Training Scheme (PGTS), the Clinical Research and Development Fellowship (CRDF), and the Structured Operational Research Training InitiaTive (SORT IT). In the advent of the COVID-19 pandemic, we assessed whether those trained through these programmes were involved in the COVID-19 response and if so, in which area(s) of the emergency response they were applying their skills. Methods: From the records for each training programme, we identified the individuals who had completed training during the relevant timespan of each programme: 1999-2018 for the CRDF scheme, 2015-2020 for PGTS, and 2009-2019 for SORT-IT. Between March and April 2020, we sent trainees an online questionnaire by e-mail. Results: Out of 1254 trained, 1143 could be contacted and 699 responded to the survey. Of the latter, 411 were involved with the COVID-19 response, of whom 315 (77%) were applying their acquired skills in 85 countries. With some overlap between programmes, 84% of those trained through CRDF were applying their skills in 27 countries, 91% of those trained through PGTS were applying their skills in 19 countries, and through SORT IT, this was 73% in 62 countries.  Skills were being applied in various areas of the emergency response, including: emergency preparedness, situation analysis/surveillance, infection control and clinical management, data generation, mitigating the effect of COVID on the health system, and research.  Depending on the type of training programme, 26-74% were involved in implementation, operational or clinical research. Conclusion: Research training programmes build research capacity and equip health workers with transferable core competencies and skillsets prior to epidemics. This becomes invaluable in building health system resilience at a time of pandemics.

Investing in Operational Research Capacity Building for Front-Line Health Workers Strengthens Countries' Resilience to Tackling the COVID-19 Pandemic.

(1) Introduction. The Structured Operational Research and Training IniTiative (SORT IT) supports countries to build operational research capacity for improving public health. We assessed whether health workers trained through SORT IT were (1) contributing to the COVID-19 pandemic response and if so, (2) map where and how they were applying their SORT IT skills. (2) Methods. An online questionnaire survey of SORT IT alumni trained between 2009 and 2019. (3) Results. Of 895 SORT IT alumni from 93 countries, 652 (73%) responded to the survey and 417 were contributing to the COVID-19 response in 72 countries. Of those contributing, 307 (74%) were applying their SORT IT skills to tackle the pandemic in 60 countries and six continents including Africa, Asia, Europe, South Pacific and North/South America. Skills were applied to all the pillars of the emergency response with the highest proportions of alumni applying their skills in data generation/analysis/reporting (56%), situation analysis (55%) and surveillance (41%). Skills were also being used to mitigate the health system effects of COVID-19 on other diseases (27%) and in conducting research (26%). (4) Conclusion. Investing in people and in research training ahead of public health emergencies generates downstream dividends by strengthening health system resilience for tackling pandemics. It also strengthens human resources for health and the integration of research within health systems.

A Mechanism for Reviewing Investments in Health Research Capacity Strengthening in Low- and Middle-Income Countries.

More than 40 agencies that fund health research capacity strengthening in low- and middle-income countries (LMICs) participate in the ESSENCE Health Research initiative, which has established a mechanism for reviewing and coordinating their funding. Taken together, the expected outcomes of implementation of the review mechanism are increases in the efficiency and equity in health research capacity strengthening activities with decreased duplication of efforts. The overall goal is increased support of research on national health priorities as well as improved pandemic preparedness in LMICs, and, eventually, fewer countries with very limited research capacity.