How to use relevant data for maximal benefit with minimal risk: digital health data governance to protect vulnerable populations in low-income and middle-income countries

International perspectives on measuring national digital public health system maturity through a multidisciplinary Delphi study

Unlocking the full potential of digital public health (DiPH) systems requires a comprehensive tool to assess their maturity. While the World Health Organization and the International Telecommunication Union released a toolkit in 2012 covering various aspects of digitalizing national healthcare systems, a holistic maturity assessment tool has been lacking ever since. To bridge this gap, we conducted a pioneering Delphi study, to which 54 experts from diverse continents and academic fields actively contributed to at least one of three rounds. 54 experts participated in developing and rating multidisciplinary quality indicators to measure the maturity of national digital public health systems. Participants established consensus on these indicators with a threshold of 70% agreement on indicator importance. Eventually, 96 indicators were identified and agreed upon by experts. Notably, 48% of these indicators were found to align with existing validated tools, highlighting their relevance and reliability. However, further investigation is required to assess the suitability and applicability of all the suggestions put forward by our participants. Nevertheless, this Delphi study is an essential initial stride toward a comprehensive measurement tool for DiPH system maturity. By working towards a standardized assessment of DiPH system maturity, we aim to empower decision-makers to make informed choices, optimize resource allocation, and drive innovation in healthcare delivery. The results of this study mark a significant milestone in advancing DiPH on a global scale.

Applying the principles for digital development to improve maternal and child health in the Peri-urban areas of Karachi, Pakistan

Low- middle-income countries, including Pakistan, are facing significant obstacles in their efforts to achieve the global targets for maternal, newborn, and child health (MNCH) defined by the Sustainable Development Goals. Barriers at the individual, health system, and contextual levels undermine healthcare access for pregnant women and children, disproportionately affecting those in low-resource settings. To address these challenges in the high-mortality, peri-urban areas of Karachi, VITAL Pakistan Trust and Aga Khan University launched a digital health intervention (DHI) to stimulate demand for health services and streamline care management for health workers at the primary care level. In this case study, we present a narrative review of the design, development, and deployment of the DHI, an Android-based application, in accordance with the Principles for Digital Development. We draw on the initial experience with implementation to reflect on how each of the nine Principles was considered during different phases of the project lifecycle, focusing on the lessons learned and challenges encountered during this process. By engaging with end-users and understanding the community, we were able to map existing relationships and workflows onto a digital platform to address major challenges hindering service delivery. Leveraging insights from field observations and user feedback, we collaborated with experts in healthcare and technology to develop the DHI, which has now scaled to 44 peri-urban settlements in Karachi. Our experience underscores the value of substantiated frameworks like the Principles. However, on-ground challenges reveal important caveats requiring further assessment. These include building community trust in new digital systems and ensuring the ethical use of health data, particularly in low digital and data literacy contexts. Based on this understanding, we share recommendations for conditions central to the effective integration and uptake of technology in healthcare, specifically within the context of digital health for MNCH.

Translating the consent form is the tip of the iceberg: using cognitive interviews to assess the barriers to informed consent in South African health facilities

The increasing digitisation of personal health data has led to an increase in the demand for onward health data. This study sought to develop local language scripts for use in public sector maternity clinics to capture informed consent for onward health data use. The script considered five possible health data uses: 1. Sending of general health information content via mobile phones; 2. Delivery of personalised health information via mobile phones; 3. Use of women's anonymised health data; 4. Use of child's anonymised health data; and 5. Use of data for recontact. Qualitative interviews (n = 54) were conducted among women attending maternity services in three public health facilities in Gauteng and Western Cape, South Africa. Using cognitive interviewing techniques, interviews sought to:(1) explore understanding of the consent script in five South African languages, (2) assess women's understanding of what they were consenting to, and (3) improve the consent script. Multiple rounds of interviews were conducted, each followed by revisions to the consent script, until saturation was reached, and no additional cognitive failures identified. Cognitive failures were a result of: (1) words and phrases that did not translate easily in some languages, (2) cognitive mismatches that arose as a result of different world views and contexts, (3) linguistic gaps, and (4) asymmetrical power relations that influence how consent is understood and interpreted. Study activities resulted in the development of an informed consent script for onward health data use in five South African languages for use in maternity clinics.

Preferences for onward health data use in the electronic age among maternity patients and providers in South Africa: a qualitative study

Despite the expanding digitisation of individual health data, informed consent for the collection and use of health data is seldom explicitly sought in public sector clinics in South Africa. This study aims to identify perceptions of informed consent practices for health data capture, access, and use in Gauteng and the Western Cape provinces of South Africa. Data collection from September to December 2021 included in-depth interviews with healthcare providers (n = 12) and women (n = 62) attending maternity services. Study findings suggest that most patients were not aware that their data were being used for purposes beyond the individualised provision of medical care. Understanding the concept of anonymised use of electronic health data was at times challenging for patients who understood their data in the limited context of paper-based folders and booklets. When asked about preferences for electronic data, patients overwhelmingly were in favour of digitisation. They viewed electronic access to their health data as facilitating rapid and continuous access to health information. Patients were additionally asked about preferences, including delivery of health information, onward health data use, and recontacting. Understanding of these use cases varied and was often challenging to convey to participants who understood their health data in the context of information inputted into their paper folders. Future systems need to be established to collect informed consent for onward health data use. In light of perceived ties to the care received, these systems need to ensure that patient preferences do not impede the content nor quality of care received.

Health data ecosystem in Pakistan: a multisectoral qualitative assessment of needs and opportunities

OBJECTIVE

Data are essential for tracking and monitoring of progress on health-related sustainable development goals (SDGs). But the capacity to analyse subnational and granular data is limited in low and middle-income countries. Although Pakistan lags behind on achieving several health-related SDGs, its health information capacity is nascent. Through an exploratory qualitative approach, we aimed to understand the current landscape and perceptions on data in decision-making among stakeholders of the health data ecosystem in Pakistan.

DESIGN

We used an exploratory qualitative study design.

SETTING

This study was conducted at the Aga Khan University, Karachi, Pakistan.

PARTICIPANTS

We conducted semistructured, in-depth interviews with multidisciplinary and multisectoral stakeholders from academia, hospital management, government, Non-governmental organisations and other relevant private entities till thematic saturation was achieved. Interviews were recorded and transcribed, followed by thematic analysis using NVivo.

RESULTS

Thematic analysis of 15 in-depth interviews revealed three major themes: (1) institutions are collecting data but face barriers to its effective utilisation for decision-making. These include lack of collection of needs-responsive data, lack of a gender/equity in data collection efforts, inadequate digitisation, data reliability and limited analytical ability; (2) there is openness and enthusiasm for sharing data for advancing health; however, multiple barriers hinder this including appropriate regulatory frameworks, platforms for sharing data, interoperability and defined win-win scenarios; (3) there is limited capacity in the area of both human capital and infrastructure, for being able to use data to advance health, but there is appetite to improve and invest in capacity in this area.

CONCLUSIONS

Our study identified key areas of focus that can contribute to orient a national health data roadmap and ecosystem in Pakistan.

A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study

BACKGROUND

Clinicians' scope of responsibilities is being steadily transformed by digital health solutions that operate with or without artificial intelligence (DAI solutions). Most tools developed to foster ethical practices lack rigor and do not concurrently capture the health, social, economic, and environmental issues that such solutions raise.

OBJECTIVE

To support clinical leadership in this field, we aimed to develop a comprehensive, valid, and reliable tool that measures the responsibility of DAI solutions by adapting the multidimensional and already validated Responsible Innovation in Health Tool.

METHODS

We conducted a 3-phase mixed methods study. Relying on a scoping review of available tools, phase 1 (concept mapping) led to a preliminary version of the Responsible DAI solutions Assessment Tool. In phase 2, an international 2-round e-Delphi expert panel rated on a 5-level scale the importance, clarity, and appropriateness of the tool's components. In phase 3, a total of 2 raters independently applied the revised tool to a sample of DAI solutions (n=25), interrater reliability was measured, and final minor changes were made to the tool.

RESULTS

The mapping process identified a comprehensive set of responsibility premises, screening criteria, and assessment attributes specific to DAI solutions. e-Delphi experts critically assessed these new components and provided comments to increase content validity (n=293), and after round 2, consensus was reached on 85% (22/26) of the items surveyed. Interrater agreement was substantial for a subcriterion and almost perfect for all other criteria and assessment attributes.

CONCLUSIONS

The Responsible DAI solutions Assessment Tool offers a comprehensive, valid, and reliable means of assessing the degree of responsibility of DAI solutions in health. As regulation remains limited, this forward-looking tool has the potential to change practice toward more equitable as well as economically and environmentally sustainable digital health care.

Assessing the sustainability and scalability of a diabetes eHealth innovation: a mixed-methods study

BACKGROUND

To date, little is known about the sustainability and scalability of MyDiabetesPlan, an eHealth innovation designed to facilitate shared decision-making within diabetes care. To avoid the possibility of its short-lived implementation and promote wider adoption so as to promote patient-centred diabetes care, it is critical to understand MyDiabetesPlan's sustainability and scalability in order to ensure its long-term impact at a greater scale. We sought to identify the sustainability and scalability potential of MyDiabetesPlan and its limiting factors.

METHODS

Using a concurrent triangulation mixed-methods approach, data were collected from 20 individuals involved in the development and implementation of MyDiabetesPlan. The National Health Services Sustainability Model (NHSSM) and the Innovation Scalability Self-administered Questionnaire (ISSaQ) were administered using a 'think-aloud' approach and subsequently, short semi-structured interviews were conducted. Mean aggregate scores and stakeholder-specific scores were generated for the NHSSM and ISSaQ, to quantitatively determine facilitating and limiting factors to sustainability and scalability. Content analysis occurred iteratively with qualitative data, to examine commonalities and differences with the quantitative findings.

RESULTS

The top facilitating factor to sustaining MyDiabetesPlan was "Staff involvement and training to sustain the process.", whereas the top limiting factors were: "Adaptability of Improved Process", "Senior Leadership Engagement" and "Infrastructure for Sustainability". The top three facilitating factors for scale-up were "Acceptability", "Development with Theory" and "Consistency with Policy Directives." Conversely, the top three limiting factors were "Financial and Human Resources", "Achievable Adoption" and "Broad Reach". Qualitative findings corroborated the limiting/facilitating factors identified.

CONCLUSIONS

Addressing staff involvement throughout the dynamic care contexts, and resource constraints impacting scale-up can enhance the sustainability and scalability of MyDiabetesPlan. As such, future plans will focus on garnering organizational leadership buy-in and support, which may address the resource constraints associated with sustainability and scalability and improve the capacity for adequate staff involvement. eHealth researchers will be able to prioritize these limiting factors from the outset of their tool development to purposefully optimize its sustainability and scalability performance.

Personal data governance and privacy in digital reproductive, maternal, newborn, and child health initiatives in Palestine and Jordan: a mapping exercise

Introduction

There is a rapid increase in using digital technology for strengthening delivery of reproductive, maternal, newborn, and child health (RMNCH) services. Although digital health has potentially many benefits, utilizing it without taking into consideration the possible risks related to the security and privacy of patients' data, and consequently their rights, would yield negative consequences for potential beneficiaries. Mitigating these risks requires effective governance, especially in humanitarian and low-resourced settings. The issue of governing digital personal data in RMNCH services has to date been inadequately considered in the context of low-and-middle-income countries (LMICs). This paper aimed to understand the ecosystem of digital technology for RMNCH services in Palestine and Jordan, the levels of maturity of them, and the implementation challenges experienced, particularly concerning data governance and human rights.

Methods

A mapping exercise was conducted to identify digital RMNCH initiatives in Palestine and Jordan and mapping relevant information from identified initiatives. Information was collected from several resources, including relevant available documents and personal communications with stakeholders.

Results

A total of 11 digital health initiatives in Palestine and 9 in Jordan were identified, including: 6 health information systems, 4 registries, 4 health surveillance systems, 3 websites, and 3 mobile-based applications. Most of these initiatives were fully developed and implemented. The initiatives collect patients' personal data, which are managed and controlled by the main owner of the initiative. Privacy policy was not available for many of the initiatives.

Discussion

Digital health is becoming a part of the health system in Palestine and Jordan, and there is an increasing use of digital technology in the field of RMNCH services in both countries, particularly expanding in recent years. This increase, however, is not accompanied by clear regulatory policies especially when it comes to privacy and security of personal data, and how this data is governed. Digital RMNCH initiatives have the potential to promote effective and equitable access to services, but stronger regulatory mechanisms are required to ensure the effective realization of this potential in practice.

Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis

An increasing number of digital health interventions (DHIs) for remote postoperative monitoring have been developed and evaluated. This systematic review identifies DHIs for postoperative monitoring and evaluates their readiness for implementation into routine health care. Studies were defined according to idea, development, exploration, assessment, and long-term follow-up (IDEAL) stages of innovation. A novel clinical innovation network analysis used coauthorship and citations to examine collaboration and progression within the field. 126 DHIs were identified, with 101 (80%) being early stage innovations (IDEAL stage 1 and 2a). None of the DHIs identified had large-scale routine implementation. There is little evidence of collaboration, and there are clear omissions in the evaluation of feasibility, accessibility, and the health-care impact. Use of DHIs for postoperative monitoring remains at an early stage of innovation, with promising but generally low-quality supporting evidence. Comprehensive evaluation within high-quality, large-scale trials and real-world data are required to definitively establish readiness for routine implementation.

A guiding framework for creating a comprehensive strategy for mHealth data sharing, privacy, and governance in low- and middle-income countries (LMICs)

With the numerous advances and broad applications of mobile health (mHealth), establishing concrete data sharing, privacy, and governance strategies at national (or regional) levels is essential to protect individual privacy and data usage. This article applies the recent Health Data Governance Principles to provide a guiding framework for low- and middle-income countries (LMICs) to create a comprehensive mHealth data governance strategy. We provide three objectives: (1) establish data rights and ownership to promote equitable benefits from health data, (2) protect people through building trust and addressing patients' concerns, and (3) promote health value by enhancing health systems and services. We also recommend actions for realizing each objective to guide LMICs based on their unique mHealth data ecosystems. These objectives require adopting a regulatory framework for data rights and protection, building trust for data sharing, and enhancing interoperability to use new datasets in advancing healthcare services and innovation.

Indonesian Scientists’ Behavior Relative to Research Data Governance in Preventing WMD-Applicable Technology Transfer

Performing research data governance is critical for preventing the transfer of technologies related to weapons of mass destruction (WMD). While research data governance is common in developed countries, it is still often considered less necessary by research organizations in developing countries such as Indonesia. An investigation of research data governance behavior for Indonesian scientists was conducted in this study. The theories of planned behavior (TPB) and protection motivation (PMT) were used to explain the relationships between different factors influencing scientists’ behavior. The theories have been widely used in the information security domain, and the approach was adopted to build the research model of this study. The obtained data were analyzed using partial least-squares structural equation modeling (PLS-SEM) to answer the main research question: “what factors determine the likelihood of practicing research data governance by Indonesian scientists to prevent WMD-applicable technology transfer?” By learning what motivates scientists to adopt research data governance practices, organizations can design relevant strategies that are directed explicitly at stimulating positive responses. The results of this study can also be applied in other developing countries that have similar situations, such as Indonesia.

Maturity Level of Digital Reproductive, Maternal, Newborn, and Child Health Initiatives in Jordan and Palestine

Background While there is a rapid increase in digital health initiatives focusing on the processing of personal data for strengthening the delivery of reproductive, maternal, newborn, and child health (RMNCH) services in fragile settings, these are often unaccompanied at both the policy and operational levels with adequate legal and regulatory frameworks.

Objective The main aim was to understand the maturity level of digital personal data initiatives for RMNCH services within fragile contexts. This aim was performed by choosing digital health initiatives from each country (two in Jordan and three in Palestine) based on RMNCH.

Methods A qualitative study design was adopted. We developed a digital maturity assessment tool assessing two maturity levels: the information and communications technology digital infrastructure, and data governance and interoperability in place for the five selected RMNCH initiatives in Jordan and Palestine.

Results Overall, the digital infrastructure and technological readiness components are more advanced and show higher maturity levels compared with data governance and interoperability components in Jordan and Palestine. In Jordan, the overall Jordan stillbirths and neonatal deaths surveillance initiative maturity indicators are somehow less advanced than those of the Electronic Maternal and Child Health Handbook-Jordan (EMCH-J) application. In Palestine, the Electronic Maternal and Child Health-registry initiative maturity indicators are more advanced than both Avicenna and EMCH-Palestine initiatives.

Discussions The findings highlighted several challenges and opportunities around the application and implementation of selected digital health initiatives in the provision of RMNCH in Jordan and Palestine. Our findings shed lights on the maturity level of these initiatives within fragile contexts. The maturity level of the five RMNCH initiatives in both countries is inadequate and requires further advancement before they can be scaled up and scaled out. Taking the World Health Organization recommendations into account when developing, implementing, and scaling digital health initiatives in low- and middle-income countries can result in successful and sustainable initiatives, thus meeting health needs and improving the quality of health care received by individuals especially those living in fragile contexts.

Cancer Groundshot: Building a Robust Cancer Control Platform in Addition To Launching the Cancer Moonshot

Cancer Groundshot is a philosophy that calls for prioritization of strategies in global cancer control. The underlying principle of Cancer Groundshot is that one must ensure access to interventions that are already proven to work before focusing on the development of new interventions. In this article, we discuss the philosophy of Cancer Groundshot as it pertains to priorities in cancer care and research in low- and middle-income countries and the utility of technology in addressing global cancer disparities; we also address disparities seen in high-income countries. The oncology community needs to realign our priorities and focus on improving access to high-value cancer control strategies, rather than allocating resources primarily to the development of technologies that provide only marginal gains at a high cost. There are several "low-hanging fruit" actions that will improve access to quality cancer care in low- and middle-income countries and in high-income countries. Worldwide, cancer morbidity and mortality can be averted by implementing highly effective, low-cost interventions that are already known to work, rather than investing in the development of resource-intensive interventions to which most patients will not have access (i.e., we can use Cancer Groundshot to first save more lives before we focus on the "moonshots").

Digital approaches to enhancing community engagement in clinical trials

Digital approaches are increasingly common in clinical trial recruitment, retention, analysis, and dissemination. Community engagement processes have contributed to the successful implementation of clinical trials and are crucial in enhancing equity in trials. However, few studies focus on how digital approaches can be implemented to enhance community engagement in clinical trials. This narrative review examines three key areas for digital approaches to deepen community engagement in clinical trials—the use of digital technology for trial processes to decentralize trials, digital crowdsourcing to develop trial components, and digital qualitative research methods. We highlight how digital approaches enhanced community engagement through a greater diversity of participants, and deepened community engagement through the decentralization of research processes. We discuss new possibilities that digital technologies offer for community engagement, and highlight potential strengths, weaknesses, and practical considerations. We argue that strengthening community engagement using a digital approach can enhance equity and improve health outcomes.

Development stage of novel digital health interventions for postoperative monitoring: protocol of a systematic review

Introduction

The postoperative period represents a time where patients are at a high-risk of morbidity, which warrants effective surveillance. While digital health interventions (DHIs) for postoperative monitoring are promising, a coordinated, standardized and evidence-based approach regarding their implementation and evaluation is currently lacking. This study aimed to identify DHIs implemented and evaluated in postoperative care to highlight research gaps and assess the readiness for routine implementation.

Methods

A systematic review will be conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify studies describing the implementation and evaluation of DHIs for postoperative monitoring published since 2000 (PROSPERO ID: CRD42021264289). This will encompass the Embase, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and ClinicalTrials.gov databases, and manual search of bibliographies for relevant studies and gray literature. Methodological reporting quality will be evaluated using the Idea, Development, Exploration, Assessment and Long-term Follow-up (IDEAL) reporting guideline relevant to the IDEAL stage of the study, and risk of bias will be assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework. Data will be extracted according to the WHO framework for monitoring and evaluating DHIs, and a narrative synthesis will be performed.

Discussion

This review will assess the readiness for implementation of DHIs for routine postoperative monitoring and will include studies describing best practice from service changes already being piloted out of necessity during the COVID-19 pandemic. This will identify interventions with sufficient evidence to progress to the next IDEAL stage, and promote standardized and comprehensive evaluation of future implementational studies.

A tale of 'politics and stars aligning': analysing the sustainability of scaled up digital tools for front-line health workers in India

INTRODUCTION

India has become a lighthouse for large-scale digital innovation in the health sector, particularly for front-line health workers (FLHWs). However, among scaled digital health solutions, ensuring sustainability remains elusive. This study explores the factors underpinning scale-up of digital health solutions for FLHWs in India, and the potential implications of these factors for sustainability.

METHODS

We assessed five FLHW digital tools scaled at the national and/or state level in India. We conducted in-depth interviews with implementers, technology and technical partners (n=11); senior government stakeholders (n=5); funders (n=1) and evaluators/academics (n=3). Emergent themes were grouped according to a broader framework that considered the (1) digital solution; (2) actors; (3) processes and (4) context.

RESULTS

The scale-up of digital solutions was facilitated by their perceived value, bounded adaptability, support from government champions, cultivation of networks, sustained leadership and formative research to support fit with the context and population. However, once scaled, embedding digital health solutions into the fabric of the health system was hampered by challenges related to transitioning management and ownership to government partners; overcoming government procurement hurdles; and establishing committed funding streams in government budgets. Strong data governance, continued engagement with FLHWs and building a robust evidence base, while identified in the literature as critical for sustainability, did not feature strongly among respondents. Sustainability may be less elusive once there is more consensus around the roles played between national and state government actors, implementing and technical partners and donors.

CONCLUSION

The use of digital tools by FLHWs offers much promise for improving service delivery and health outcomes in India. However, the pathway to sustainability is bespoke to each programme and should be planned from the outset by investing in people, relationships and service delivery adjustments to navigate the challenges involved given the dynamic nature of digital tools in complex health systems.

Multiple pathways to scaling up and sustainability: an exploration of digital health solutions in South Africa

BACKGROUND

With the aim to support further understanding of scaling up and sustaining digital health, we explore digital health solutions that have or are anticipated to reach national scale in South Africa: the Perinatal Problem Identification Programme (PPIP) and Child Healthcare Problem Identification Programme (Child PIP) (mortality audit reporting and visualisation tools), MomConnect (a direct to consumer maternal messaging and feedback service) and CommCare (a community health worker data capture and decision-support application).

RESULTS

A framework integrating complexity and scaling up processes was used to conceptually orient the study. Findings are presented by case in four domains: value proposition, actors, technology and organisational context. The scale and use of PPIP and Child PIP were driven by 'champions'; clinicians who developed technically simple tools to digitise clinical audit data. Top-down political will at the national level drove the scaling of MomConnect, supported by ongoing financial and technical support from donors and technical partners. Donor preferences played a significant role in the selection of CommCare as the platform to digitise community health worker service information, with a focus on HIV and TB. A key driver of scale across cases is leadership that recognises and advocates for the value of the digital health solution. The technology need not be complex but must navigate the complexity of operating within an overburdened and fragmented South African health system. Inadequate and unsustained investment from donors and government, particularly in human resource capacity and robust monitioring and evaluation, continue to threaten the sustainability of digital health solutions.

CONCLUSIONS

There is no single pathway to achieving scale up or sustainability, and there will be successes and challenges regardless of the configuration of the domains of value proposition, technology, actors and organisational context. While scaling and sustaining digital solutions has its technological challenges, perhaps more complex are the idiosyncratic factors and nature of the relationships between actors involved. Scaling up and sustaining digital solutions need to account for the interplay of the various technical and social dimensions involved in supporting digital solutions to succeed, particularly in health systems that are themselves social and political dynamic systems.

Digital Health in Response to COVID-19 in Low- and Middle-income Countries: Opportunities and Challenges

COVID-19 has pulled back the curtain on health system fragility to expose persistent and deepening inequities worldwide. The limited capacity of low- and lower-middle income countries (LMICs) to respond to the pandemic and its impact on the health of populations - particularly the most vulnerable - presents a marked challenge. In this context, countries face the enormous task of rethinking the way essential services will be delivered. A critical and essential part of solving these challenges will be using information and communication technology and digital health to enhance direct communication with the public; scale proven and innovative service delivery models; and empower the frontlines. However, if the deployment, adaptation, or expansion of these innovations are not user-centered for the most marginalized or do not learn from past lessons, it could be highly wasteful at best. At worst, such shortcomings could exacerbate pre-existing weaknesses in the health care system such as exclusion of peripheral populations, disempowerment of health workers, and proliferation of unregulated private providers. We provide recommendations of which innovations should be prioritized and implementation principles to address the current challenges while responding to the need to fundamentally change service delivery for accelerated impact.

Avoiding the Road to Nowhere: Policy Insights on Scaling up and Sustaining Digital Health

Digital health solutions offer tremendous potential to enhance the reach and quality of health services and population-level outcomes in low- and middle-income countries (LMICs). While the number of programs reaching scale increases yearly, the long-term sustainability for most remains uncertain. In this article, as researchers and implementors, we draw on experiences of designing, implementing and evaluating digital health solutions at scale in Africa and Asia, and provide examples from India and South Africa to illustrate ten considerations to support scale and sustainability of digital health solutions in LMICs. Given the investments being made in digital health solutions and the urgent concurrent needs to strengthen health systems to ensure their responsiveness to marginalized populations in LMICs, we cannot afford to go down roads that 'lead to nowhere'. These ten considerations focus on drivers of equity and innovation, the foundations for a digital health ecosystem, and the elements for systems integration. We urge technology enthusiasts to consider these issues before and during the roll-out of large-scale digital health initiatives to navigate the complexities of achieving scale and enabling sustainability.

Electronic data collection in a multi-site population-based survey: EN-INDEPTH study

BACKGROUND

Electronic data collection is increasingly used for household surveys, but factors influencing design and implementation have not been widely studied. The Every Newborn-INDEPTH (EN-INDEPTH) study was a multi-site survey using electronic data collection in five INDEPTH health and demographic surveillance system sites.

METHODS

We described experiences and learning involved in the design and implementation of the EN-INDEPTH survey, and undertook six focus group discussions with field and research team to explore their experiences. Thematic analyses were conducted in NVivo12 using an iterative process guided by a priori themes.

RESULTS

Five steps of the process of selecting, adapting and implementing electronic data collection in the EN-INDEPTH study are described. Firstly, we reviewed possible electronic data collection platforms, and selected the World Bank's Survey Solutions® as the most suited for the EN-INDEPTH study. Secondly, the survey questionnaire was coded and translated into local languages, and further context-specific adaptations were made. Thirdly, data collectors were selected and trained using standardised manual. Training varied between 4.5 and 10 days. Fourthly, instruments were piloted in the field and the questionnaires finalised. During data collection, data collectors appreciated the built-in skip patterns and error messages. Internet connection unreliability was a challenge, especially for data synchronisation. For the fifth and final step, data management and analyses, it was considered that data quality was higher and less time was spent on data cleaning. The possibility to use paradata to analyse survey timing and corrections was valued. Synchronisation and data transfer should be given special consideration.

CONCLUSION

We synthesised experiences using electronic data collection in a multi-site household survey, including perceived advantages and challenges. Our recommendations for others considering electronic data collection include ensuring adaptations of tools to local context, piloting/refining the questionnaire in one site first, buying power banks to mitigate against power interruption and paying attention to issues such as GPS tracking and synchronisation, particularly in settings with poor internet connectivity.

Stakeholder perspectives and requirements to guide the development of digital technology for palliative cancer services: a multi-country, cross-sectional, qualitative study in Nigeria, Uganda and Zimbabwe

Introduction

Coverage of palliative care in low and middle-income countries is very limited, and global projections suggest large increases in need. Novel approaches are needed to achieve the palliative care goals of Universal Health Coverage. This study aimed to identify stakeholders’ data and information needs and the role of digital technologies to improve access to and delivery of palliative care for people with advanced cancer in Nigeria, Uganda and Zimbabwe.

Methods

We conducted a multi-country cross-sectional qualitative study in sub-Saharan Africa. In-depth qualitative stakeholder interviews were conducted with N = 195 participants across Nigeria, Uganda and Zimbabwe (advanced cancer patients n = 62, informal caregivers n = 48, health care professionals n = 59, policymakers n = 26). Verbatim transcripts were subjected to deductive and inductive framework analysis to identify stakeholders needs and their preferences for digital technology in supporting the capture, transfer and use of patient-level data to improve delivery of palliative care.

Results

Our coding framework identified four main themes: i) acceptability of digital technology; ii) current context of technology use; iii) current vision for digital technology to support health and palliative care, and; iv) digital technologies for the generation, reporting and receipt of data. Digital heath is an acceptable approach, stakeholders support the use of secure data systems, and patients welcome improved communication with providers. There are varying preferences for how and when digital technologies should be utilised as part of palliative cancer care provision, including for increasing timely patient access to trained palliative care providers and the triaging of contact from patients.

Conclusion

We identified design and practical challenges to optimise potential for success in developing digital health approaches to improve access to and enhance the delivery of palliative cancer care in Nigeria, Uganda and Zimbabwe. Synthesis of findings identified 15 requirements to guide the development of digital health approaches that can support the attainment of global health palliative care policy goals.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-020-00694-y.

Ongoing debate on data governance principles for achieving Universal Health Coverage: a proposal to post-G20 Osaka Summit meetings

The Group of 20 Summit (G20) in Osaka, which Japan chaired for the first time in June 2019 has created a tailwind for achieving universal health coverage (UHC) globally. In response to the rapid digitalization, the G20 leaders commenced negotiations for the Osaka Track framework to formulate international rules on data flow across borders and systematize the concept of ‘Data Free Flow with Trust (DFFT).’ The strategic harnessing of the power of data to strengthen the healthcare system can allow for rapid and affordable progress toward achieving UHC. However, world leaders have yet to discuss what data governance approaches the Osaka Track will follow, or even on what values it will seek to create and maximize. In this paper, we propose a people-centered, trust-oriented approach as the key principle of data governance toward achieving UHC, using Japan’s experience as an example. We believe that this approach is compatible with other prevailing approaches (e.g. the General Data Protection Regulation (GDPR) in the European Union), and can serve as a bridge to their conceptual differences. We hope that our proposed principles will be fully discussed in post-G20 Osaka Summit meetings.

Telehealth in the rehabilitation of female pelvic floor dysfunction: a systematic literature review

Introduction and hypothesis

The pandemic caused by coronavirus disease 2019 (COVID-19) increased the awareness and efforts to provide care from distance using information technologies. We reviewed the literature about the practice and effectiveness of the rehabilitation of the female pelvic floor dysfunction via telehealth regarding symptomatology and quality of life and function of pelvic floor muscles (PFM).

Methods

A bibliographic review was carried out in May 2020 in the databases: Embase, Medline/PubMed, LILACS and PEDro. A total of 705 articles were reviewed after the removal of duplicates. The methodological quality of the articles was evaluated by the PEDro scale. Two authors performed data extraction into a standardized spreadsheet.

Results

Four studies were included, two being randomized controlled trials. Among the RCTs, only one compared telehealth with face-to-face treatment; the second one compared telehealth with postal treatment. The other two studies are follow-up and cost analysis reports on telehealth versus postal evaluation. Data showed that women who received the intervention remotely presented significant improvement in their symptoms, such as reducing the number of incontinence episodes and voiding frequency, improving PFM strength and improving quality of life compared to women who had the face-to-face treatment.

Conclusions

Telehealth promoted a significant improvement in urinary symptoms, PFM function and quality of life. Telehealth is still emerging, and more studies are needed to draw more conclusions. The recommendations of the governmental authorities, physical therapy councils and corresponding associations of each country also need to be considered.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00192-020-04588-8.

A guide to physiotherapy in urogynecology for patient care during the COVID-19 pandemic

Introduction and aim

Physiotherapy in urogynecology faces challenges to safely continuing its work, considering the adoption of social distancing measures during the COVID-19 pandemic. Some guidelines have already been published for urogynecology; however, no specific documents have been produced on physiotherapy in urogynecology. This article aimed to offer guidance regarding physiotherapy in urogynecology during the COVID-19 pandemic.

Methods

A group of experts in physiotherapy in women’s health performed a literature search in the Pubmed, PEDro, Web of Science and Embase databases and proposed a clinical guideline for physiotherapy management of urogynecological disorders during the COVID-19 pandemic. This document was reviewed by other physiotherapists and a multidisciplinary panel, which analyzed the suggested topics and reached consensus. The recommendations were grouped according to their similarities and allocated into categories.

Results

Four categories of recommendations (ethics and regulation issues, assessment of pelvic floor muscle function and dysfunction, health education and return to in-person care) were proposed. Telephysiotherapy and situations that need in-person care were also discussed. Regionalization is another topic that was considered.

Conclusion

This study provides some guidance for continuity of the physiotherapist's work in urogynecology during the COVID-19 pandemic, considering the World Health Organization recommendations and the epidemiological public health situation of each region. Telephysiotherapy can also be used to provide continuity of the care in this area during the COVID-19 pandemic, opening new perspectives for physiotherapy in urogynecology.

Innovative Use of mHealth and Clinical Technology for Oncology Clinical Trials in Africa

Utilization of clinical technology and mobile health (mHealth) is expanding globally. It is important to reflect on how their usage and application could translate in low- and middle-income country (LMIC) settings. With the exponential growth and advancements of mobile and wireless technologies, LMICs are prime to adapt such technologies to potentially democratize and create solutions to health-related challenges. The role of these technologies in oncology clinical trials continues to expand. The lure of mHealth promises disruptive technology that may change the way clinical trials are designed and conducted in many settings. Its applicability in the African context is currently under consideration. Although potentially of expanding benefit, the role of these technologies requires careful and nuanced evaluation of the context in which they might be applied to harness their full potential, while mitigating possible harms or preventing further deepening of disparities within populations. Moreover, technology and digital innovations are no substitute for poor referral pathways and dysfunctional health systems and can only complement or enhance definite strategies aimed at strengthening these health systems.

Strengthening Surveillance Systems for Malaria Elimination by Integrating Molecular and Genomic Data

Unprecedented efforts in malaria control over the last 15 years have led to a substantial decrease in both morbidity and mortality in most endemic settings. However, these progresses have stalled over recent years, and resurgence may cause dramatic impact on both morbidity and mortality. Nevertheless, elimination efforts are currently going on with the objective of reducing malaria morbidity and mortality by 90% and malaria elimination in at least 35 countries by 2030. Strengthening surveillance systems is of paramount importance to reach those targets, and the integration of molecular and genomic techniques into routine surveillance could substantially improve the quality and robustness of data. Techniques such as polymerase chain reaction (PCR) and quantitative PCR (qPCR) are increasingly available in malaria endemic countries, whereas others such as sequencing are already available in a few laboratories. However, sequencing, especially next-generation sequencing (NGS), requires sophisticated infrastructure with adequate computing power and highly trained personnel for data analysis that require substantial investment. Different techniques will be required for different applications, and cost-effective planning must ensure the appropriate use of available resources. The development of national and sub-regional reference laboratories could help in minimizing the resources required in terms of equipment and trained staff. Concerted efforts from different stakeholders at national, sub-regional, and global level are needed to develop the required framework to establish and maintain these reference laboratories.

Advancing good governance in data sharing and biobanking - international aspects

Ethical and effective data-sharing among countries can be achieved by considering the interests of all relevant parties: research participants, researchers and funders. Fears of exploitation, however, both of research participants and researchers from low- and middle-income countries (LMIC), can undermine the free flow of data necessary for scientific advancement.

In this Open Letter, two case studies presented at the 2018 Global Forum on Bioethics in Research meeting on the Ethics of data sharing and biobanking in Cape Town, South Africa, function as the focal point for a reflection on the attributes of an ideal model of good data governance and how it can help support ethical best practices in biobanking and data sharing.

Consideration of the case studies as well as the literature indicate three broad principles that need to be reflected in an ideal data governance framework: (i) collaboration - both among researchers as well as between researchers and participants, (ii) fairness – ensuring that all parties in international collaborations, the data provider, primary data gathering LMIC researcher and the high income country (HIC) institution/funder are treated fairly, and (iii) working towards a level playing field – neither collaboration nor fairness can be effectively achieved with the existing power differential between HIC and LMIC researchers/institutions; it is therefore necessary to work towards achieving a more level playing field between partners in research collaborations.

Promoting good governance of data through fair, efficient and accountable governance frameworks can help build trust and ensure continued international data sharing.