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Hoy — Marzo 4th 2026Tus fuentes RSS

Predictors of rural medical practice in Aotearoa New Zealand: a national outcomes prospective cohort study

Por: Costello · K. · Nixon · G. · Stokes · T. · Frampton · C. · Lander · J. · Wilkinson · T.
Objectives

Identifying the factors that increase the likelihood of medical graduates choosing rural medical careers is key to addressing the global shortage of rural doctors. Using linked graduate-workforce outcomes data, this study aimed to identify predictors of rural medical practice in Aotearoa New Zealand (NZ).

Design

A national prospective cohort study linking data from the longitudinal Medical School Outcomes Database to workforce location data. Univariate and multivariate analyses were conducted to generate ORs for putative predictors of rural medical career.

Setting and participants

All NZ medical graduates from 2011 to 2019 were followed for a minimum of 3 years.

Results

During the study period, there were a total of 4152 medical graduates nationally. Included in the analysis were 3291 graduates who had linked longitudinal medical school and workforce data, of whom 133 (4%) doctors were classified as having decided on a career in rural medicine. Independent predictors of rural practice included being of rural origin (OR 2.13, 95% CI 1.19 to 3.81, p=0.011), age older than 25 years at entry to medical school (OR 2.88, 95% CI 1.54 to 5.36, p

Conclusions

This is the first national study linking medical school data to rural medical workforce outcomes. It demonstrates that previously known predictors of rural practice intention are borne out with actual career outcomes, and these also hold true at a national level. However, this research highlights that diverse pathways into rural practice are vital, given that urban-origin students and those with no early rural career intention make up a substantial number of the early-career rural medical workforce.

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Analytical validation of a homologous recombination deficiency signature (HRDsig) in pan-tumor tissue samples

by Wenshu Li, Jeffrey A. Leibowitz, Shuoguo Wang, Louisa Walker, Chang Xu, Kuei-Ting Chen, Alexa B. Schrock, Jason Hughes, Nimesh Patel, Julia A. Elvin, Lauren L. Ritterhouse, Ethan Sokol, Garrett Frampton, Lucas Dennis, Bahar Yilmazel, Brennan Decker

Homologous recombination repair (HRR) is a cellular pathway for high-fidelity double strand DNA break repair that uses the sister chromatid as a guide to ensure chromosomal integrity and cell viability. Deficiency in the HRR pathway (HRD) can sensitize tumors to poly (ADP-ribose) polymerase inhibitors (PARPi) and platinum-based chemotherapy, offering an avenue to identify patients who may benefit from targeted therapies. HRD signature (HRDsig) is a pan-solid-tumor biomarker on the FoundationOne®CDx (F1CDx®) assay that employs a DNA scar-based approach to calculate a score based on copy number features (e.g., segment size, oscillation patterns, and breakpoints per chromosome arm) and does not rely on HRR gene alterations, enabling detection of genomic and epigenetic mechanisms of HRD. After finalizing the HRDsig algorithm, analytical validation was conducted in a CAP-accredited, CLIA-certified laboratory on 278 solid tumor and normal tissue specimens. HRDsig results were compared with an independent HRD biomarker, defined by the presence of a reversion mutation restoring HRR gene function. In this evaluation, 100 HRD-positive and 126 HRD-negative samples showed a positive percent agreement of 90.00% and a negative percent agreement of 94.44%. The limit of detection (LoD) was estimated at 23.04% tumor purity, with the limit of blank (LoB) confirmed as zero in 60 normal tissue replicates. Reproducibility testing on 11 positive and 11 negative samples across multiple labs, reagent lots, and sequencers yielded agreement in 99.49% of positive and 99.73% of negative replicates. HRDsig status remained consistent in the presence of interfering substances, demonstrating 100% concordance in spiked samples. These validation results underscore the high analytical concordance, low false-positive rate, and overall robustness of HRDsig for reliable assessment of homologous recombination deficiency.
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