'We were treated like we are nobody': a mixed-methods study of medical doctors' internship experiences in Kenya and Uganda

Objective: Medical interns are an important workforce providing first-line healthcare services in hospitals. The internship year is important for doctors as they transition from theoretical learning with minimal hands-on work under supervision to clinical practice roles with considerable responsibility. However, this transition is considered stressful and commonly leads to burn-out due to challenging working conditions and an ongoing need for learning and assessment, which is worse in countries with resource constraints. In this study, we provide an overview of medical doctors’ internship experiences in Kenya and Uganda. Methods: Using a convergent mixed-methods approach, we collected data from a survey of 854 medical interns and junior doctors and semistructured interviews with 54 junior doctors and 14 consultants. Data collection and analysis were guided by major themes identified from a previous global scoping review (well-being, educational environment and working environment and condition), using descriptive analysis and thematic analysis respectively for quantitative and qualitative data. Findings: Most medical interns are satisfied with their job but many reported suffering from stress, depression and burn-out, and working unreasonable hours due to staff shortages. They are also being affected by the challenging working environment characterised by a lack of adequate resources and a poor safety climate. Although the survey data suggested that most interns were satisfied with the supervision received, interviews revealed nuances where many interns faced challenging scenarios, for example, poor supervision, insufficient support due to consultants not being available or being ‘treated like we are nobody’. Conclusion: We highlight challenges experienced by Kenyan and Ugandan medical interns spanning from burn-out, stress, challenging working environment, inadequate support and poor quality of supervision. We recommend that regulators, educators and hospital administrators should improve the resource availability and capacity of internship hospitals, prioritise individual doctors’ well-being and provide standardised supervision, support systems and conducive learning environments

The influence of internship training experience on Kenyan and Ugandan doctors' career intentions and decisions: a qualitative study

Background: Medical internship is a key period for doctors’ individual career planning and also a transition period for the broader labour market. Objectives: We aimed to understand the complex set of factors influencing the career intentions and decisions of junior doctors, post-internship in Kenya and Uganda. Methods: We conducted semi-structured interviews with 54 junior medical officers and 14 consultants to understand doctors’ internship experiences and subsequent employment experiences. We analysed the data using a mix of a direct content approach, informed by an internship experience and career intentions framework developed primarily from high-income country literature, alongside a more inductive thematic analysis. Results: Echoing the internship experience and career intentions framework, we found that clinical exposure during internship, work–life balance, aspects of workplace culture such as relationships with consultants and other team members, and concerns over future job security and professional development all influenced Kenyan and Ugandan doctors’ career preferences. Additionally, we added a new category to the framework to reflect our finding that interns might want to ‘fill a health system gap’ when they choose their future careers, based on what they witness as interns. However, often career intentions did not match career and employment decisions due to specific contextual factors, most importantly a shortage of job opportunities. Conclusion: We have shown how internship experiences shape medical doctors’ career intentions in Kenya and Uganda and highlighted the importance of job availability and context in influencing doctors’ career choices

The hidden emotional labour behind ensuring the social value of research: Experiences of frontline health policy and systems researchers based in Kenya during COVID-19

Health policy and systems research (HPSR) is a multi-disciplinary, largely applied field of research aimed at understanding and strengthening the performance of health systems, often with an emphasis on power, policy and equity. The value of embedded and participatory HPSR specifically in facilitating the collection of rich data that is relevant to addressing real-world challenges is increasingly recognised. However, the potential contributions and challenges of HPSR in the context of shocks and crises are not well documented, with a particular gap in the literature being the experiences and coping strategies of the HPSR researchers who are embedded in health systems in resource constrained settings. In this paper, we draw on two sets of group discussions held among a group of approximately 15 HPSR researchers based in Nairobi, Kenya, who were conducting a range of embedded HPSR studies throughout the COVID-19 pandemic. The researchers, including many of the authors, were employed by the KEMRI-Wellcome Trust Research Programme (KWTRP), which is a long-standing multi-disciplinary partnership between the Kenya Medical Research Institute and the Wellcome Trust with a central goal of contributing to national and international health policy and practice. We share our findings in relation to three inter-related themes: 1) Ensuring the continued social value of our HPSR work in the face of changing priorities; 2) Responding to shifting ethical procedures and processes at institutional and national levels; and 3) Protecting our own and front-line colleagues' well-being, including clinical colleagues. Our experiences highlight that in navigating research work and responsibilities to colleagues, patients and participants through the pandemic, many embedded HPSR staff faced difficult emotional and ethical challenges, including heightened forms of moral distress, which may have been better prevented and supported. We draw on our findings and the wider literature to discuss considerations for funders and research leads with an eye to strengthening support for embedded HPSR staff, not only in crises such as the on-going COVID-19 pandemic, but also more generally

'We were treated like we are nobody': a mixed-methods study of medical doctors' internship experiences in Kenya and Uganda

OBJECTIVE: Medical interns are an important workforce providing first-line healthcare services in hospitals. The internship year is important for doctors as they transition from theoretical learning with minimal hands-on work under supervision to clinical practice roles with considerable responsibility. However, this transition is considered stressful and commonly leads to burn-out due to challenging working conditions and an ongoing need for learning and assessment, which is worse in countries with resource constraints. In this study, we provide an overview of medical doctors' internship experiences in Kenya and Uganda. METHODS: Using a convergent mixed-methods approach, we collected data from a survey of 854 medical interns and junior doctors and semistructured interviews with 54 junior doctors and 14 consultants. Data collection and analysis were guided by major themes identified from a previous global scoping review (well-being, educational environment and working environment and condition), using descriptive analysis and thematic analysis respectively for quantitative and qualitative data. FINDINGS: Most medical interns are satisfied with their job but many reported suffering from stress, depression and burn-out, and working unreasonable hours due to staff shortages. They are also being affected by the challenging working environment characterised by a lack of adequate resources and a poor safety climate. Although the survey data suggested that most interns were satisfied with the supervision received, interviews revealed nuances where many interns faced challenging scenarios, for example, poor supervision, insufficient support due to consultants not being available or being 'treated like we are nobody'. CONCLUSION: We highlight challenges experienced by Kenyan and Ugandan medical interns spanning from burn-out, stress, challenging working environment, inadequate support and poor quality of supervision. We recommend that regulators, educators and hospital administrators should improve the resource availability and capacity of internship hospitals, prioritise individual doctors' well-being and provide standardised supervision, support systems and conducive learning environments

Development and validation of a new measurement instrument to assess internship experience of medical doctors in low-income and middle-income countries

Routine surveys are used to understand the training quality and experiences of junior doctors but there are lack of tools designed to evaluate the training experiences of interns in low-income and middle-income countries (LMICs) where working conditions and resource constraints are challenging. We describe our process developing and validating a 'medical internship experience scale' to address this gap, work involving nine LMICs that varied in geographical locations, income-level and internship training models. We used a scoping review of existing tools, content validity discussions with target populations and an expert panel, back-and-forth translations into four language versions and cognitive interviews to develop and test the tool. Using data collected from 1646 interns and junior medical doctors, we assessed factor structure and assessed its reliability and validity. Fifty items about experiences of medical internship were retained from an initial pool of 102 items. These 50 items represent 6 major factors (constructs): (1) clinical learning and supervision, (2) patient safety, (3) job satisfaction, (4) stress and burnout, (5) mental well-being, and (6) fairness and discrimination. We reflect on the process of multicountry scale development and highlight some considerations for others who may use our scale, using preliminary analyses of the 1646 responses to illustrate that the tool may produce useful data to identify priorities for action. We suggest this tool could enable LMICs to assess key metrics regarding intern straining and initial work experiences and possibly allow comparison across countries and over time, to inform better internship planning and management

Updated social accounting matrices for Kenya: An instrument for policy analysis and simulation

The policy brief provides an overview of the updated Kenya Social Accounting Matrices (SAMs). The current Kenya SAM which incorporates latest rebased national accounts data, supply and use tables and household budget survey, is an update of the previous SAM compiled for 2009 transactions. SAMs are used in conjunction with analytical techniques to strengthen the evidence underlying policies. The updated Kenya SAM 2021 identifies 90 production activities and commodities (products) across agriculture, industry, and services sectors. As an economy-wide data framework, SAM best captures priority production sectors outlined in the government’s new development plan (Bottom-up Economic Transformation Agenda (BETA)). For instance, priority sub-sectors highlighted in the plan include maize, dairy, cattle, tea value addition, expanding and revamping export cash crops such as coffee, cashew nuts, avocado, macadamia nuts and pyrethrum, revamping leather, cotton, pharmaceutical, and textile and clothing industries. Using this SAM data framework, analysis can be done to assess the likely impacts of implementing BETA on jobs, poverty and food security in Kenya. The SAM also in cludes 3 broad categories of production factors (land, capital and labour), and 15 household groups by quintiles. Highlight from Kenya SAM 2021 suggests that services sector contributed the largest share to GDP (57.8%), followed by Agriculture (23.4%), and Industry (18.7%). The brief also presents the share of ex ternal trade to total output and domestic demand, showing that Kenya exports more agriculture-related products while it imports more industrial products. In 2021, Kenya exported 7.1 per cent of its output while import share to domestic demand was 11 per cent, and in the agriculture sector, export to output share was 16.3 per cent. The Kenya SAM 2021 provides policymakers with the necessary data and analytical tools to design and implement effective policies to promote sustainable economic growth and reduce poverty and inequality

What's normal? Oligosaccharide concentrations and profiles in milk produced by healthy women vary geographically.

Background: Human milk is a complex fluid comprised of myriad substances, with one of the most abundant substances being a group of complex carbohydrates referred to as human milk oligosaccharides (HMOs). There has been some evidence that HMO profiles differ in populations, but few studies have rigorously explored this variability.Objectives: We tested the hypothesis that HMO profiles differ in diverse populations of healthy women. Next, we examined relations between HMO and maternal anthropometric and reproductive indexes and indirectly examined whether differences were likely related to genetic or environmental variations.Design: In this cross-sectional, observational study, milk was collected from a total of 410 healthy, breastfeeding women in 11 international cohorts and analyzed for HMOs by using high-performance liquid chromatography.Results: There was an effect of the cohort (P 4 times higher in milk collected in Sweden than in milk collected in rural Gambia (mean ± SEM: 473 ± 55 compared with 103 ± 16 nmol/mL, respectively; P < 0.05), and disialyllacto-N-tetraose (DSLNT) concentrations ranged from 216 ± 14 nmol/mL (in Sweden) to 870 ± 68 nmol/mL (in rural Gambia) (P < 0.05). Maternal age, time postpartum, weight, and body mass index were all correlated with several HMOs, and multiple differences in HMOs [e.g., lacto-N-neotetrose and DSLNT] were shown between ethnically similar (and likely genetically similar) populations who were living in different locations, which suggests that the environment may play a role in regulating the synthesis of HMOs.Conclusions: The results of this study support our hypothesis that normal HMO concentrations and profiles vary geographically, even in healthy women. Targeted genomic analyses are required to determine whether these differences are due at least in part to genetic variation. A careful examination of sociocultural, behavioral, and environmental factors is needed to determine their roles in this regard. This study was registered at clinicaltrials.gov as NCT02670278

Development and validation of a new measurement instrument to assess internship experience of medical doctors in low-income and middle-income countries

Routine surveys are used to understand the training quality and experiences of junior doctors but there are lack of tools designed to evaluate the training experiences of interns in low-income and middle-income countries (LMICs) where working conditions and resource constraints are challenging. We describe our process developing and validating a 'medical internship experience scale' to address this gap, work involving nine LMICs that varied in geographical locations, income-level and internship training models. We used a scoping review of existing tools, content validity discussions with target populations and an expert panel, back-and-forth translations into four language versions and cognitive interviews to develop and test the tool. Using data collected from 1646 interns and junior medical doctors, we assessed factor structure and assessed its reliability and validity. Fifty items about experiences of medical internship were retained from an initial pool of 102 items. These 50 items represent 6 major factors (constructs): (1) clinical learning and supervision, (2) patient safety, (3) job satisfaction, (4) stress and burnout, (5) mental well-being, and (6) fairness and discrimination. We reflect on the process of multicountry scale development and highlight some considerations for others who may use our scale, using preliminary analyses of the 1646 responses to illustrate that the tool may produce useful data to identify priorities for action. We suggest this tool could enable LMICs to assess key metrics regarding intern straining and initial work experiences and possibly allow comparison across countries and over time, to inform better internship planning and management

Key genetic variants associated with variation of milk oligosaccharides from diverse human populations

Human milk oligosaccharides (HMO), the third most abundant component of human milk, are thought to be important contributors to infant health. Studies have provided evidence that geography, stage of lactation, and Lewis and secretor blood groups are associated with HMO profile. However, little is known about how variation across the genome may influence HMO composition among women in various populations. In this study, we performed genome-wide association analyses of 395 women from 8 countries to identify genetic regions associated with 19 different HMO. Our data support FUT2 as the most significantly associated (P < 4.23-9 to P < 4.5-70) gene with seven HMO and provide evidence of balancing selection for FUT2. Although polymorphisms in FUT3 were also associated with variation in lacto-N-fucopentaose II and difucosyllacto-N-tetrose, we found little evidence of selection on FUT3. To our knowledge, this is the first report of the use of genome-wide association analyses on HMO

Comparison of Two Approaches for the Metataxonomic Analysis of the Human Milk Microbiome.

Recent work has demonstrated the existence of large inter-individual and inter-population variability in the microbiota of human milk from healthy women living across variable geographical and socio-cultural settings. However, no studies have evaluated the impact that variable sequencing approaches targeting different 16S rRNA variable regions may have on the human milk microbiota profiling results. This hampers our ability to make meaningful comparisons across studies. In this context, the main purpose of the present study was to re-process and re-sequence the microbiome in a large set of human milk samples (n = 412) collected from healthy women living at diverse international sites (Spain, Sweden, Peru, United States, Ethiopia, Gambia, Ghana and Kenya), by targeting a different 16S rRNA variable region and reaching a larger sequencing depth. Despite some differences between the results obtained from both sequencing approaches were notable (especially regarding alpha and beta diversities and Proteobacteria representation), results indicate that both sequencing approaches revealed a relatively consistent microbiota configurations in the studied cohorts. Our data expand upon the milk microbiota results we previously reported from the INSPIRE cohort and provide, for the first time across globally diverse populations, evidence of the impact that different DNA processing and sequencing approaches have on the microbiota profiles obtained for human milk samples. Overall, our results corroborate some similarities regarding the microbial communities previously reported for the INSPIRE cohort, but some differences were also detected. Understanding the impact of different sequencing approaches on human milk microbiota profiles is essential to enable meaningful comparisons across studies. Clinical Trial Registration: www.clinicaltrials.gov, identifier NCT02670278