he prevalence of kidney failure and its major risk factors (including chronic kidney disease [CKD]) are increasing worldwide, and the most rapid growth is observed in low-and middle-income countries (LMICs). 1 The corresponding increase in the burden of kidney failure is a major challenge for health systems, especially in LMICs, due to growing demand for expensive kidney replacement therapies such as dialysis. 2 In LMICs with limited resources, the priority of providing costly kidney replacement therapies must be weighed against the prevention and treatment of
Background: Approximately 78% of chronic kidney disease (CKD) cases reside in low- and middle-income countries (LMICs). However, little is known about the care models for CKD in LMICs. Objective: Our objective was to update a prior systematic review on CKD care models in LMICs and summarize information on multidisciplinary care and management of CKD complications. Design: We searched MEDLINE, EMBASE, and Global Health databases in September 2020, for papers published between January 1, 2017, and September 14, 2020. We used a combination of search terms, which were different iterations of CKD, care models, and LMICs. The World Bank definition (2019) was used to identify LMICs. Setting: Our review included studies published in LMICs across 4 continents: Africa, Asia, North America (Mexico), and Europe (Ukraine). The study settings included tertiary hospitals (n = 6), multidisciplinary clinics (n = 1), primary health centers (n = 2), referral centers (n = 2), district hospitals (n = 1), teaching hospitals (n = 1), regional hospital (n = 1), and an urban medical center (n = 1). Patients: Eighteen studies met inclusion criteria, and encompassed 4679 patients, of which 4665 were adults. Only 9 studies reported mean eGFR which ranged from 7 to 45.90 ml/min/1.73 m2. Measurements: We retrieved the following details about CKD care: funding, urban or rural location, types of health care staff, and type of care provided, as defined by Kidney Disease Improving Global Outcomes (KDIGO) guidelines for CKD care. Methods: We included studies which met the following criteria: (1) population was largely adults, defined as age 18 years and older; (2) most of the study population had CKD, and not end-stage kidney disease (ESKD); (3) population resided in an LMIC as defined by the World Bank; (4) manuscript described in some detail a clinical care model for CKD; (5) manuscript was in either English or French. Animal studies, case reports, comments, and editorials were excluded. Results: Eighteen studies (24 care models with 4665 patients) met inclusion criteria. Out of 24 care models, 20 involved interdisciplinary health care teams. Twenty models incorporated international guidelines for CKD management. However, conservative kidney management (management of kidney failure without dialysis or renal transplant) was in a minority of models (11 of 24). Although there were similarities between all the clinical care models, there was variation in services provided and in funding arrangement; the latter ranged from comprehensive government funding (eg, Sri Lanka, Thailand), to out-of-pocket payments (eg, Benin, Togo). Limitations: These include (1) lack of detail on CKD care in many of the studies, (2) small number of included studies, (3) using a different definition of care model from the original Stanifer et al paper, and (4) using the KDIGO Guidelines as the standard for defining a CKD care model. Conclusions: Most of the CKD models of care include the key elements of CKD care. However, access to such care depends on the funding mechanism available. In addition, few models included conservative kidney management, which should be a priority for future investment. Trial registration: Not applicable.
BackgroundDespite the reputation of Canada’s healthcare system as being accessible to all Canadians, certain populations continue to face inequities within our healthcare system. In addition to promoting fairness, addressing healthcare inequities has the potential to reduce healthcare costs, which is increasingly important as healthcare costs continue to rise. Intentionally or otherwise, physicians are often leaders in healthcare teams, but there is a paucity of literature on physicians’ perceptions of the problem of healthcare inequities and their potential role in addressing inequities. In this pilot study, we use a grounded theory approach to explore contextual factors and mechanisms that associate with an individual physician’s involvement (or otherwise) in initiatives to reduce healthcare inequity.MethodsUsing purposeful sampling and a set of a priori questions, we interviewed ten physicians – five of whom self-identified as being actively involved and five not actively involved in addressing healthcare inequities – to explore potential reasons for physicians choosing to address the causes of healthcare inequities.ResultsWe identified contextual barriers (e.g., lack of knowledge and time) and facilitators (prior experience, protected time, mentorship and system supports) that we interpreted as interacting with the underlying mechanism (motivation to address inequities) to influence a physician’s decision on whether or not to address healthcare inequities.ConclusionBased upon our findings we propose further studies to understand and/or overcome barriers to physicians being involved in addressing healthcare inequities.
ObjectiveEvidence is needed to guide organisational decision making about workplace accommodations for pregnant physicians. Our objective was to characterise the strengths and limitations of current research examining the association between physician-related occupational hazards with pregnancy, obstetrical and neonatal outcomes.DesignScoping review.Data sourcesMEDLINE/PubMed, EMBASE, CINAHL/ EBSCO, SciVerse Scopus and Web of Science/Knowledge were searched from inception to 2 April 2020. A grey literature search was performed on 5 April 2020. The references of all included articles were hand searched for additional citations.Eligibility criteriaEnglish language citations that studied employed pregnant people and any ‘physician-related occupational hazards’, meaning any relevant physical, infectious, chemical or psychological hazard, were included. Outcomes included any pregnancy, obstetrical or neonatal complication.Data extraction and synthesisPhysician-related occupational hazards included physician work, healthcare work, long work hours, ‘demanding’ work, disordered sleep, night shifts and exposure to radiation, chemotherapy, anaesthetic gases or infectious disease. Data were extracted independently in duplicate and reconciled through discussion.ResultsOf the 316 included citations, 189 were original research studies. Most were retrospective, observational and included women in any occupation rather than healthcare workers. Methods for exposure and outcome ascertainment varied across studies and most studies had a high risk of bias in data ascertainment. Most exposures and outcomes were defined categorically and results from different studies could not be combined in a meta-analysis due to heterogeneity in how these categories were defined. Overall, some data suggested that healthcare workers may have an increased risk of miscarriage compared with other employed women. Long work hours may be associated with miscarriage and preterm birth.ConclusionsThere are important limitations in the current evidence examining physician-related occupational hazards and adverse pregnancy, obstetrical and neonatal outcomes. It is not clear how the medical workplace should be accommodated to improve outcomes for pregnant physicians. High-quality studies are needed and likely feasible.
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