Health Systems In Low- And Middle-income Countries Research Articles

Deconcentrating regulation in low- and middle-income country health systems: a proposed ambidextrous solution to problems with professional regulation for doctors and nurses in Kenya and Uganda

BackgroundRegulation can improve professional practice and patient care, but is often weakly implemented and enforced in health systems in low- and middle-income countries (LMICs). Taking a de-centred and frontline perspective, we examine national regulatory actors’ and health professionals’ views and experiences of health professional regulation in Kenya and Uganda and discuss how it might be improved in LMICs more generally.MethodsWe conducted large-scale research on professional regulation for doctors and nurses (including midwives) in Uganda and Kenya during 2019–2021. We interviewed 29 national regulatory stakeholders and 47 subnational regulatory actors, doctors, and nurses. We then ran a national survey of Kenyan and Ugandan doctors and nurses, which received 3466 responses. We thematically analysed qualitative data, conducted an exploratory factor analysis of survey data, and validated findings in four focus group discussions.ResultsKenyan and Ugandan regulators were generally perceived as resource-constrained, remote, and out of touch with health professionals. This resulted in weak regulation that did little to prevent malpractice and inadequate professional education and training. However, interviewees were positive about online licencing and regulation where they had relationships with accessible regulators. Building on these positive findings, we propose an ambidextrous approach to improving regulation in LMIC health systems, which we term deconcentrating regulation. This involves developing online licencing and streamlining regulatory administration to make efficiency savings, freeing regulatory resources. These resources should then be used to develop connected subnational regulatory offices, enhance relations between regulators and health professionals, and address problems at local level.ConclusionProfessional regulation for doctors and nurses in Kenya and Uganda is generally perceived as weak. Yet these professionals are more positive about online licencing and regulation where they have relationships with regulators. Building on these positive findings, we propose deconcentrating regulation as a solution to regulatory problems in LMICs. However, we note resource, cultural and political barriers to its effective implementation.

Global Health Inequity and Disparity: Beyond Talk, Toward Action

Abstract Global health inequity remains a major challenge despite ambitious goals. Disparities exist between rural and urban areas, high-income countries, and low-and middle-income countries (LMICs), and in representation at conferences and leadership positions. These gaps lead to delayed diagnoses, untreated illnesses, and preventable deaths in LMICs and rural communities. Addressing this issue requires financial inclusivity, deconstructing power imbalances, investing in rural health care, strengthening LMIC health systems, and promoting global health equity. Only through concrete actions can we bridge the gap and ensure health care for all.

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.

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. 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. 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. ClinicalTrials.gov Identifier-NCT05699369.

COVID-19 Pandemic Lessons for Creating Effective Mental Health Safety Nets in Lower Middle-Income Countries.

The coronavirus disease 2019 (COVID-19) pandemic has posed unprecedented challenges to mental health globally, particularly in low- and middle-income countries (LMICs) such as Pakistan. This narrative review aims to synthesize the literature on the impact of the pandemic on mental health in LMICs, the challenges and opportunities for mental health system reform, and the role of safety nets in promoting mental health.A comprehensive search was conducted in several electronic databases, resulting in 35 articles being included for review. Data were extracted and analyzed to identify key themes and trends.The COVID-19 pandemic has led to a significant increase in the prevalence of mental health problems in LMICs, particularly anxiety and depression. This burden is disproportionately borne by vulnerable populations, including women, front-line workers, and those living in poverty. The pandemic has highlighted pre-existing weaknesses in mental health systems in LMICs, including inadequate funding, lack of trained mental health professionals, and stigmatization of mental illness. However, it has also presented opportunities for reform, such as increased awareness and political will, and the use of technology to expand access to mental health services. Building effective safety nets, including social protection programs and community-based interventions, can promote mental health and address social determinants of mental illness.The COVID-19 pandemic has underscored the urgent need for mental health system reform and the development of effective safety nets in LMICs. Policymakers should prioritize investment in mental health and address the social determinants of mental illness to build more resilient societies.

Identifying the necessary capacities for the adaptation of a diabetes phenotyping algorithm in countries of differing economic development status

ABSTRACT Background In 2019, the World Health Organization recognised diabetes as a clinically and pathophysiologically heterogeneous set of related diseases. Little is currently known about the diabetes phenotypes in the population of low- and middle-income countries (LMICs), yet identifying their different risks and aetiology has great potential to guide the development of more effective, tailored prevention and treatment. Objectives This study reviewed the scope of diabetes datasets, health information ecosystems, and human resource capacity in four countries to assess whether a diabetes phenotyping algorithm (developed under a companion study) could be successfully applied. Methods The capacity assessment was undertaken with four countries: Trinidad, Malaysia, Kenya, and Rwanda. Diabetes programme staff completed a checklist of available diabetes data variables and then participated in semi-structured interviews about Health Information System (HIS) ecosystem conditions, diabetes programme context, and human resource needs. Descriptive analysis was undertaken. Results Only Malaysia collected the full set of the required diabetes data for the diabetes algorithm, although all countries did collect the required diabetes complication data. An HIS ecosystem existed in all settings, with variations in data hosting and sharing. All countries had access to HIS or ICT support, and epidemiologists or biostatisticians to support dataset preparation and algorithm application. Conclusions Malaysia was found to be most ready to apply the phenotyping algorithm. A fundamental impediment in the other settings was the absence of several core diabetes data variables. Additionally, if countries digitise diabetes data collection and centralise diabetes data hosting, this will simplify dataset preparation for algorithm application. These issues reflect common LMIC health systems’ weaknesses in relation to diabetes care, and specifically highlight the importance of investment in improving diabetes data, which can guide population-tailored prevention and management approaches.

Use of provider-to-provider telemedicine in Kenya during the COVID-19 pandemic.

According to the World Health Organization (WHO), about 90 percent of countries continue to report COVID-related disruptions to their health systems. The use of telemedicine has been especially common among high-income countries to safely deliver and access health services where enabling infrastructure like broadband connectivity is more widely available than low- and middle-income countries (LMICs). The Addis Clinic implements a provider-to-provider (P2P) asynchronous telemedicine model in Kenya. We sought to examine the use of the P2P telemedicine platform during the second year of COVID-19. To assess sustainability, we compared the data for two 12-month calendar periods (period A = year 2020, and period B = year 2021). To examine performance, we compared the data for two different 12-month periods (period C = pandemic period of February 2021 to January 2022, and period D = baseline period of February 2019 to January 2020). Sustainability of the P2P telemedicine platform was maintained during the pandemic with increased activity levels from 2,604 cases in 2020 to 3,525 cases in 2021. There was an average of 82 specialists and 5.9 coordinators during 2020, and an average of 81 specialists and 6.0 coordinators during 2021. During 2020, there were 444 cases per coordinator, and 587 cases per coordinator in 2021(P = 0.078). During 2020, there were 32 cases per specialist, and 43 cases per specialist in 2021(P = 0.068). Performance decreased with 99 percent of cases flagged as "answered" during the baseline period (period D), and 75 percent of cases flagged as "answered" during the pandemic period (period C). Results suggest that despite a decline in certain sustainability and performance indicators, The Addis Clinic was able to sustain a very high level of activity during the second year of the pandemic, as shown by the continued use of the system. Furthermore, despite some of the infrastructure challenges present in LMICs, the P2P telemedicine platform was a viable option for receiving clinical recommendations from medical experts located remotely. As health systems in LMICs grapple with the effects of the pandemic, it is worthwhile to consider the use of telemedicine to deliver essential health services.

Corruption in the health sector: A problem in need of a systems-thinking approach.

Health systems are comprised of complex interactions between multiple different actors with differential knowledge and understanding of the subject and system. It is exactly this complexity that makes it particularly vulnerable to corruption, which has a deleterious impact on the functioning of health systems and the health of populations. Consequently, reducing corruption in the health sector is imperative to strengthening health systems and advancing health equity, particularly in low- and middle-income countries (LMICs). Although health sector corruption is a global problem, there are key differences in the forms of and motivations underlying corruption in health systems in LMICs and high-income countries (HICs). Recognizing these differences and understanding the underlying system structures that enable corruption are essential to developing anti-corruption interventions. Consequently, health sector corruption is a problem in need of a systems-thinking approach. Anti-corruption strategies that are devised without this understanding of the system may have unintended consequences that waste limited resources, exacerbate corruption, and/or further weaken health systems. A systems-thinking approach is important to developing and successfully implementing corruption mitigation strategies that result in sustainable improvements in health systems and consequently, the health of populations.

Barriers to Quality Perioperative Care Delivery in Low- and Middle-Income Countries: A Qualitative Rapid Appraisal Study.

Provision of timely, safe, and affordable surgical care is an essential component of any high-quality health system. Increasingly, it is recognized that poor quality of care in the perioperative period (before, during, and after surgery) may contribute to significant excess mortality and morbidity. Therefore, improving access to surgical procedures alone will not address the disparities in surgical outcomes globally until the quality of perioperative care is addressed. We aimed to identify key barriers to quality perioperative care delivery for 3 "Bellwether" procedures (cesarean delivery, emergency laparotomy, and long-bone fracture fixation) in 5 low- and middle-income countries (LMICs). Ten hospitals representing secondary and tertiary facilities from 5 LMICs were purposefully selected: 2 upper-middle income (Colombia and South Africa); 2 lower-middle income (Sri Lanka and Tanzania); and 1 lower income (Uganda). We used a rapid appraisal design (pathway mapping, ethnography, and interviews) to map out and explore the complexities of the perioperative pathway and care delivery for the Bellwether procedures. The framework approach was used for data analysis, with triangulation across different data sources to identify barriers in the country and pattern matching to identify common barriers across the 5 LMICs. We developed 25 pathway maps, undertook >30 periods of observation, and held >40 interviews with patients and clinical staff. Although the extent and impact of the barriers varied across the LMIC settings, 4 key common barriers to safe and effective perioperative care were identified: (1) the fragmented nature of the care pathways, (2) the limited human and structural resources available for the provision of care, (3) the direct and indirect costs of care for patients (even in health systems for which care is ostensibly free of charge), and (4) patients' low expectations of care. We identified key barriers to effective perioperative care in LMICs. Addressing these barriers is important if LMIC health systems are to provide safe, timely, and affordable provision of the Bellwether procedures.

Implementation research on noncommunicable disease prevention and control interventions in low- and middle-income countries: A systematic review.

While the evidence for the clinical effectiveness of most noncommunicable disease (NCD) prevention and treatment interventions is well established, care delivery models and means of scaling these up in a variety of resource-constrained health systems are not. The objective of this review was to synthesize evidence on the current state of implementation research on priority NCD prevention and control interventions provided by health systems in low- and middle-income countries (LMICs). On January 20, 2021, we searched MEDLINE and EMBASE databases from 1990 through 2020 to identify implementation research studies that focused on the World Health Organization (WHO) priority NCD prevention and control interventions targeting cardiovascular disease, cancer, diabetes, and chronic respiratory disease and provided within health systems in LMICs. Any empirical and peer-reviewed studies that focused on these interventions and reported implementation outcomes were eligible for inclusion. Given the focus on this review and the heterogeneity in aims and methodologies of included studies, risk of bias assessment to understand how effect size may have been compromised by bias is not applicable. We instead commented on the distribution of research designs and discussed about stronger/weaker designs. We synthesized extracted data using descriptive statistics and following the review protocol registered in PROSPERO (CRD42021252969). Of 9,683 potential studies and 7,419 unique records screened for inclusion, 222 eligible studies evaluated 265 priority NCD prevention and control interventions implemented in 62 countries (6% in low-income countries and 90% in middle-income countries). The number of studies published has been increasing over time. Nearly 40% of all the studies were on cervical cancer. With regards to intervention type, screening accounted for 49%, treatment for 39%, while prevention for 12% (with 80% of the latter focusing on prevention of the NCD behavior risk factors). Feasibility (38%) was the most studied implementation outcome followed by adoption (23%); few studies addressed sustainability. The implementation strategies were not specified well enough. Most studies used quantitative methods (86%). The weakest study design, preexperimental, and the strongest study design, experimental, were respectively employed in 25% and 24% of included studies. Approximately 72% of studies reported funding, with international funding being the predominant source. The majority of studies were proof of concept or pilot (88%) and targeted the micro level of health system (79%). Less than 5% of studies report using implementation research framework. Despite growth in implementation research on NCDs in LMICs, we found major gaps in the science. Future studies should prioritize implementation at scale, target higher levels health systems (meso and macro levels), and test sustainability of NCD programs. They should employ designs with stronger internal validity, be more conceptually driven, and use mixed methods to understand mechanisms. To maximize impact of the research under limited resources, adding implementation science outcomes to effectiveness research and regional collaborations are promising.

Actions and Adaptations Implemented for Maternal, Newborn and Child Health Service Provision During the Early Phase of the COVID-19 Pandemic in Lagos, Nigeria: Qualitative Study of Health Facility Leaders.

Background:The early phase of the COVID-19 pandemic led to significant disruptions in provision of maternal, newborn, and child health (MNCH) services, especially in low- and middle-income countries (LMICs) with fragile health systems, such as Nigeria. Measures taken to ‘flatten the curve’ such as lockdowns, curfews, travel restrictions, and suspension of public services inadvertently led to significant disruptions in provision of essential health services. In these countries, health facility leaders are directly responsible for driving changes needed for service delivery.Objective:To explore perspectives of health facility leaders in Lagos, Nigeria, on solutions and adaptations implemented to support MNCH service provision during the early phase of the COVID-19 pandemic.Methods:Key informant interviews were remotely conducted with purposively sampled 33 health facility leaders across primary, secondary, and tertiary public health facilities in Lagos between July and November 2020. Following verbatim transcription of recordings, data familiarization, and coding, thematic analysis was used to synthesize data.Results:Health facility leaders scaled down or discontinued outpatient MNCH services and elective surgeries. However, deliveries, newborn, immunization, and emergency services continued. Service provision was reorganized with long and staggered patient appointments, collapsing of wards and modification of health worker duty rosters. Some secondary and tertiary facilities leveraged technology like WhatsApp, webinars, and telemedicine to support service provision. Continuous capacity-building for health workers through training, motivation, psychological support, and atypical sourcing of PPE was instituted to be able to safely maintain service delivery.Conclusion:Health facility leaders led the frontline of the COVID-19 response. While they took to implementing global and national guidelines within their facilities, they also pushed innovative facility-driven adaptations to address the indirect effects of COVID-19. Insights gathered provide lessons to foster resilient LMIC health systems for MNCH service provision in a post-COVID-19 world.

The effectiveness of supervision strategies to improve health care provider practices in low- and middle-income countries: secondary analysis of a systematic review

BackgroundAlthough supervision is a ubiquitous approach to support health programs and improve health care provider (HCP) performance in low- and middle-income countries (LMICs), quantitative evidence of its effects is unclear. The objectives of this study are to describe the effect of supervision strategies on HCP practices in LMICs and to identify attributes associated with greater effectiveness of routine supervision.MethodsWe performed a secondary analysis of data on HCP practice outcomes (e.g., percentage of patients correctly treated) from a systematic review on improving HCP performance. The review included controlled trials and interrupted time series studies. We described distributions of effect sizes (defined as percentage-point [%-point] changes) for each supervision strategy. To identify attributes associated with supervision effectiveness, we performed random-effects linear regression modeling and examined studies that directly compared different approaches of routine supervision.ResultsWe analyzed data from 81 studies from 36 countries. For professional HCPs, such as nurses and physicians, primarily working at health facilities, routine supervision (median improvement when compared to controls: 10.7%-points; IQR: 9.9, 27.9) had similar effects on HCP practices as audit with feedback (median improvement: 10.1%-points; IQR: 6.2, 23.7). Two attributes were associated with greater mean effectiveness of routine supervision (p < 0.10): supervisors received supervision (by 8.8–11.5%-points), and supervisors participated in problem-solving with HCPs (by 14.2–20.8%-points). Training for supervisors and use of a checklist during supervision visits were not associated with effectiveness. The effects of supervision frequency (i.e., number of visits per year) and dose (i.e., the number of supervision visits during a study) were unclear. For lay HCPs, the effect of routine supervision was difficult to characterize because few studies existed, and effectiveness in those studies varied considerably. Evidence quality for all findings was low primarily because many studies had a high risk of bias.ConclusionsAlthough evidence is limited, to promote more effective supervision, our study supports supervising supervisors and having supervisors engage in problem-solving with HCPs. Supervision’s integral role in health systems in LMICs justifies a more deliberate research agenda to identify how to deliver supervision to optimize its effect on HCP practices.

Child and adolescent mental health services and systems in low and middle-income countries: from mapping to strengthening.

Most of the world's children and adolescents live in low and middle-income countries (LMICs) where mental health services are very limited. Here, we reviewed literature over the last 18 months describing the current landscape of child and adolescent mental health services and systems (CAMHSS) in LMICs, and present findings from systems strengthening research. The challenges in CAMHSS are well described with little change over the last two decades. Fortunately, research has started to move from 'mapping' towards systems 'strengthening'. Using the WHO Assessment Instrument for Mental Health Systems (WHO-AIMS) framework, we reviewed recent CAMHSS innovations. Clinical care and human resource innovations focused on primary care with validation of screening tools, training and task-sharing for capacity-building. Intersectoral collaboration emerged as a priority domain for strengthening, alongside a theme around the importance of participatory research to inform policy reforms. The potential role of digital technology to strengthen CAMHSS was identified as an emerging theme. There is an urgent need to increase the priority of CAMHSS in LMICs. This will require innovations at multiple levels aimed at all CAMHSS domains, with active participation of all relevant local stakeholders to ensure the translation of research into policy and practice.

Male partners\u2019 participation in birth preparedness and complication readiness in low- and middle-income countries: a systematic review and meta-analysis

BackgroundMaternal and neonatal health outcomes remain a challenge in low- and middle-income countries (LMICs) despite priority given to involving male partners in birth preparedness and complication readiness (BPCR). Men in LMICs often determine women’s access to and affordability of health services. This systematic review and meta-analysis determined the pooled magnitude of male partner’s participation in birth preparedness and complication readiness in LMICs.MethodsLiterature published in English language from 2004 to 2019 was retrieved from Google Scholar, PubMed, CINAHL, Scopus, and EMBASE databases. The Joanna Briggs Institute’s critical appraisal tool for prevalence and incidence studies were used. A pooled statistical meta-analysis was conducted using STATA Version 14.0. The heterogeneity and publication bias were assessed using the I2 statistics and Egger’s test. Duval and Tweedie's nonparametric trim and fill analysis using the random-effect analysis was carried out to validate publication bias and heterogeneity. The random effect model was used to estimate the summary prevalence and the corresponding 95% confidence interval (CI) of birth preparedness and complication readiness. The review protocol has been registered in PROSPERO number CRD42019140752. The PRISMA flow chart was used to show the number of articles identified, included, and excluded with justifications described.ResultsThirty-seven studies with a total of 17, 148 participants were included. The pooled results showed that 42.4% of male partners participated in BPCR. Among the study participants, 54% reported having saved money for delivery, whereas 44% identified skilled birth attendants. 45.8% of male partners arranged transportation and 57.2% of study participants identified health facility as a place of birth. Only 16.1% of the male partners identified potential blood donors.ConclusionsA low proportion of male partners were identified to have participated in BPCR in LMICs. This calls countries in low- and middle-income setting for action to review their health care policies, to remove the barriers and promote facilitators to male partner’s involvement in BPCR. Health systems in LMICs must design and innovate scalable strategies to improve male partner’s arrangements for a potential blood donor and transportation for complications that could arise during delivery or postpartum haemorrhage.

Community Health Workers Can Provide Psychosocial Support to the People During COVID-19 and Beyond in Low- and Middle- Income Countries.

The COVID-19 pandemic has been the most challenging public health issue which not only affected the physical health of the global population but also aggravated the mental health conditions such as stress, anxiety, fear, depression and anger. While mental health services are seriously hampered amid this COVID-19 pandemic, health services, particularly those of Low- and Middle- Income Countries (LMICs) are looking for alternatives to provide psychosocial support to the people amid this COVID-19 and beyond. Community Health Workers (CHWs) are an integral part of the health systems in many LMICs and played significant roles such as health education, contact tracing, isolation and mobilization during past emergencies and amid COVID-19 in many LMICs. However, despite their potentials in providing psychosocial support to the people amid this COVID-19 pandemic, they have been underutilized in most health systems in LMICs. The CHWs can be effectively engaged to provide psychosocial support at the community level. Engaging them can also be cost-saving as they are already in place and may cost less compared to other health professionals. However, they need training and supervision and their safety and security needs to be protected during this COVID-19. While many LMICs have mental health policies but their enactment is limited due to the fragility of health systems and limited health care resources. CHWs can contribute in this regard and help to address the psychosocial vulnerabilities of affected population in LMICs during COVID-19 and beyond.

Tracking health sector priority setting processes and outcomes for human resources for health, five-years after political devolution: a county-level case study in Kenya

BackgroundHealth sector priority setting in Low and Middle-Income Countries (LMICs) entails balancing between a high demand and low supply of scarce resources. Human Resources for Health (HRH) consume the largest allocation of health sector resources in LMICs. Health sector decentralization continues to be promoted for its perceived ability to improve efficiency, relevance and participation in health sector priority setting. Following the 2013 devolution in Kenya, both health service delivery and human resource management were decentralized to county level. Little is known about priority setting practices and outcomes of HRH within decentralized health systems in LMICs. Our study sought to examine if and how the Kenyan devolution has improved health sector priority setting practices and outcomes for HRH.MethodsWe used a mixed methods case study design to examine health sector priority setting practices and outcomes at county level in Kenya. We used three sources of data. First, we reviewed all relevant national and county level policy and guidelines documents relating to HRH management. We then accessed and reviewed county records of HRH recruitment and distribution between 2013 and 2018. We finally conducted eight key informant interviews with various stakeholder involved in HRH priority setting within our study county.ResultsWe found that HRH numbers in the county increased by almost two-fold since devolution. The county had two forms of HRH recruitment: one led by the County Public Services Board as outlined by policy and guidelines and a parallel, politically-driven recruitment done directly by the County Department of Health. Though there were clear guidelines on HRH recruitment, there were no similar guidelines on allocation and distribution of HRH. Since devolution, the county has preferentially staffed higher level hospitals over primary care facilities. Additionally, there has been local county level innovations to address some HRH management challenges, including recruiting doctors and other highly specialized staff on fixed term contract as opposed to permanent basis; and implementation of local incentives to attract and retain HRH to remote areas within the county.ConclusionDevolution has significantly increased county level decision-space for HRH priority setting in Kenya. However, HRH management and accountability challenges still exist at the county level. There is need for interventions to strengthen county level HRH management capacity and accountability mechanisms beyond additional resources allocation. This will boost the realization of the country’s efforts for promoting service delivery equity as a key goal – both for the devolution and the country’s quest towards Universal Health Coverage (UHC).

"Even though I am alone, I feel that we are many"- An appreciative inquiry study of asynchronous, provider-to-provider teleconsultations in Turkana, Kenya.

Non-physician clinicians (NPCs) in low and middle-income countries (LMICs) often have little physical proximity to the resources-equipment, supplies or skills-needed to deliver effective care, forcing them to refer patients to distant sites. Unlike equipment or supplies, which require dedicated supply chains, physician/specialist skills needed to support NPCs can be sourced and delivered through telecommunication technologies. In LMICs however, these skills are scarce and sparsely distributed, making it difficult to implement commonly used real-time (synchronous), hub-and-spoke telemedicine paradigms. An asynchronous teleconsultations service was implemented in Turkana County, Kenya, connecting NPCs with a volunteer network of remote physicians and specialists. In 2017-18, the service supported over 100 teleconsultations and referrals across 20 primary healthcare clinics and two hospitals. This qualitative study aimed to explore the impact of the telemedicine intervention on health system stakeholders, and perceived health-related benefits to patients. Data were collected using Appreciative Inquiry, a strengths-based, positive approach to assessing interventions and informing systems change. We highlight the impact of provider-to-provider asynchronous teleconsultations on multiple stakeholders and healthcare processes. Provider benefits include improved communication and team work, increased confidence and capacity to deliver services in remote sites, and professional satisfaction for both NPCs and remote physicians. Health system benefits include efficiency improvements through improved care coordination and avoiding unnecessary referrals, and increased equity and access to physician/specialist care by reducing geographical, financial and social barriers. Providers and health system managers recognised several non-health benefits to patients including increased trust and care seeking from NPCs, and social benefits of avoiding unnecessary referrals (reduced social disruption, displacement and costs). The findings reveal the wider impact that modern teleconsultation services enabled by mobile technologies and algorithms can have on LMIC communities and health systems. The study highlights the importance of viewing provider-to-provider teleconsultations as complex health service delivery interventions with multiple pathways and processes that can ultimately improve health outcomes.

Tracing theories in realist evaluations of large-scale health programmes in low- and middle-income countries: experience from Nigeria

Realist evaluations (RE) are increasingly popular in assessing health programmes in low- and middle-income countries (LMICs). This article reflects on processes of gleaning, developing, testing, consolidating and refining two programme theories (PTs) from a longitudinal mixed-methods RE of a national maternal and child health programme in Nigeria. The two PTs, facility security and patient–provider trust, represent complex and diverse issues: trust is all encompassing although less tangible, while security is more visible. Neither PT was explicit in the original programme design but emerged from the data and was supported by substantive theories. For security, we used theories of fear of crime, which perceive security as progressing from structural, political and socio-economic factors. Some facilities with the support of communities erected fences, improved lighting and employed guards, which altogether contributed to reduced fear of crime from staff and patients and improved provision and uptake of health care. The social theories for the trust PT were progressively selected to disentangle trust-related micro, meso and macro factors from the deployment and training of staff and conditional cash transfers to women for service uptake. We used taxonomies of trust factors such as safety, benevolent concerns and capability. We used social capital theory to interpret the sustainability of ‘residual’ trust after the funding for the programme ceased. Our overarching lesson is that REs are important though time-consuming ways of generating context-specific implications for policy and practice within ever-changing contexts of health systems in LMICs. It is important to ensure that PTs are ‘pitched at the right level’ of abstraction. The resource-constrained context of LMICs with insufficient documentation poses challenges for the timely convergence of nuggets of evidence to inform PTs. A retroductive approach to REs requires iterative data collection and analysis against the literature, which require continuity, coherence and shared understanding of the analytical processes within collaborative REs.

Impact of COVID-19 on access to healthcare in low- and middle-income countries: Current evidence and future recommendations.

The COVID-19 pandemic continues to be a major public health threat globally and low- and middle-income countries (LMICs) are not an exception. The impact of the COVID-19 pandemic is far-reaching on many areas including but not limited to global health security, economic and healthcare delivery with a potential impact on access to healthcare in LMICs. We evaluate the impact of the COVID-19 pandemic on access to healthcare in LMICs, as well as plausible strategies that can be put in place to ensure that the delivery of healthcare is not halted. In order to mitigate the devastating effect of the COVID-19 pandemic on the already weak health systems in LMICs, it is much necessary to reinforce and scale up interventions and proactive measures that will ensure that access to healthcare is not disrupted even in course of the pandemic.

Using routine health information data for research in low- and middle-income countries: a systematic review

BackgroundRoutine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years, and that there is a growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications.MethodsUsing terms ‘routine health information system’, ‘health information system’, or ‘health management information system’ and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 202,019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed for inclusion based on pre-determined eligibility criteria and study characteristics were extracted from included articles using a piloted data extraction form.ResultsWe identified 132 studies that met our inclusion criteria, originating in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan Africa and were published within the last 5 years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored.ConclusionsOur study identified an increasing use of RHIS data for research purposes, with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessing services, and epidemiological studies in LMICs. RHIS data represent an underused source of data and should be made more available and further embraced by the research community in LMIC health systems.

Emergency and essential surgical healthcare services during COVID-19 in low- and middle-income countries: A perspective.

The COVID-19 pandemic resulted in significant changes in health care systems worldwide, with low- and middle-income countries (LMIC) sustaining important repercussions. Specifically, alongside cancellation and postponements of non-essential surgical services, emergency and essential surgical care delivery may become affected due to the shift of human and material resources towards fighting the pandemic. For surgeries that do get carried through, new difficulties arise in protecting surgical personnel from contracting SARS-CoV-2. This scarcity in LMIC surgical ecosystems may result in higher morbidity and mortality, in addition to the COVID-19 toll. This paper aims to explore the potential consequences of COVID-19 on the emergency and essential surgical care in LMICs, to offer recommendations to mitigate damages and to reflect on preparedness for future crises. Reducing the devastating consequences of the COVID-19 pandemic on LMIC emergency and essential surgical services can be achieved through empowering communities with accurate information and knowledge on prevention, optimizing surgical material resources, providing quality training of health care personnel to treat SARS-CoV-2, and ensuring adequate personal protection equipment for workers on the frontline. While LMIC health systems are under larger strain, the experience from previous outbreaks may aid in order to innovate and adapt to the current pandemic. Protecting LMIC surgical ecosystems will be a pivotal process in ensuring that previous health system strengthening efforts are preserved, comprehensive care for populations worldwide are ensured, and to allow for future developments beyond the pandemic.