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Record W4415434389 · doi:10.1093/ndt/gfaf116.1729

#3833 Access to hemodialysis in Haiti, a low-income, conflict-affected country

2025· article· en· W4415434389 on OpenAlexaff
Judith Exantus, Ana Catalina Álvarez-Elías, Xiaoling Ye, John W. Larkin, Len A. Usvyat, Peter Kotanko

Bibliographic record

VenueNephrology Dialysis Transplantation · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHemodialysisPeritoneal dialysisKidney diseasePopulationKidney transplantationRenal replacement therapyDialysisTransplantationPoverty

Abstract

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Abstract Background and Aims Low-resource countries face significant challenges in providing kidney replacement therapies (KRT), particularly for patients with end-stage kidney disease (ESKD). ESKD patients in Haiti, a country affected by ongoing armed conflicts, face even greater struggles regarding access to KRT. Port-au-Prince, the country's capital, has a population of 1.2 million as of 2021, with at least 65% of residents over the age of 18 years. The reported average annual salary is equivalent to $1,760 USD, with 69% of the population living in extreme poverty with less than $1 USD per/day. Despite the absence of formal registries, a recent population-based study estimated a 2% prevalence of chronic kidney disease (CKD), defined as an eGFR <60 mL/min/1.73 m² [Nicholas S Robert et al. CJASN 2023, PMID 37081617]. Currently, neither peritoneal dialysis nor kidney transplantation are available, leaving hemodialysis (HD) as the only available option of KRT. In Port-au-Prince, seven centers provide HD. Given the difficult circumstances, no comprehensive overview of HD resources exist. We attempted to mitigate this knowledge gap by collecting data from some of the HD centers located in Port-au-Prince. Method We developed a short questionnaire using Microsoft Forms, consisting of 16 questions. Between September 1, 2024, and January 15, 2025, the questionnaire was distributed via mobile phones to the primary nephrologists and internists at healthcare centers around Port-au-Prince that offer HD. The questions focused on gathering information about the HD equipment, patient demographics, and available human resources. Center identifiers were anonymized. Responses were extracted into an Excel file and analyzed descriptively. Results We are reporting four of seven HD centers in Port-au-Prince, three private and one public. Currently, the three private centers provide HD treatments. An armed conflict has forced the fourth center to close since physical access was no longer possible (see Table 1). The three accessible centers each have a median of six functional HD machines, with a median of 13 patients per center. The youngest patients have a median age of 18 years. The cost per HD session at private centers is $200 USD, while at the currently closed public center, it is $20 USD, as the Health Ministry covers the remaining costs. Two of the private centers offer erythropoiesis-stimulating agent (ESA) treatment. The number of weekly HD sessions depends on patient's ability to pay, most patients receive twice weekly HD. The most common vascular access is the arteriovenous fistula (AVF), though jugular and femoral catheters are also regularly used. Overall, the three functional centers report an average patient duration on HD of 12 months. Internal medicine doctors and nurses are the primary healthcare providers. Conclusion With an estimated adult population of 780,000 in Port-au-Prince and a previously reported chronic kidney disease (CKD) prevalence of 2%, at least 15,000 adults in the metropolitan area may have CKD. Our partial report reveals a total of 18 machines across three out of four HD centers in Port-du-Prince, the most populated area in Haiti. Given this limited capacity, meeting the needs of the Haitian ESKD patients seems far from achievable. Pediatric patients, in particular, face even fewer opportunities for KRT, neither for acute nor chronic conditions. Urgent action is needed, including data collection and the establishment of registries, to better understand the disease burden in Haiti, especially within the context of an ongoing armed conflict. Support from international non-governmental organizations (NGOs) is crucial to address this significant unmet need.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.297
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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