Publications by authors named "Jayden MacRae"

Introduction New Zealand general practice and primary care is currently facing significant challenges and opportunities following the impact of the coronavirus disease 2019 (COVID-19) pandemic and the introduction of health sector reform. For future sustainability, it is important to understand the workload associated with differing levels of patient case mix seen in general practice. Aim To assess levels of morbidity and concomitant levels of socio-economic deprivation among primary care practices within a large primary health organisation (PHO) and associated Māori provider network.

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Objective: To investigate the incidence of primary care presentations for herpes zoster (zoster) in a representative New Zealand population and to evaluate the utilisation of primary healthcare services following zoster diagnosis.

Design: A cross-sectional retrospective cohort study used a natural language processing software inference algorithm to identify general practice consultations for zoster by interrogating 22 million electronic medical record (EMR) transactions routinely recorded from January 2005 to December 2015. Data linking enabled analysis of the demographics of each case.

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Objectives: To identify childhood respiratory tract-related illness presentation rates and service utilisation in primary care by interrogating free text and coded data from electronic medical records.

Design: Retrospective cohort study. Data interrogation used a natural language processing software inference algorithm.

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Objectives: This article focuses on the results of evaluations of two business plans developed in response to a policy initiative which aimed to achieve greater integration between primary and secondary health providers in New Zealand. We employ the Consolidated Framework for Implementation Research to inform our analysis. The policy programme involved the development of business plans and, within each business plan, a range of areas of focus and associated work-streams.

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Background: We designed and validated a rule-based expert system to identify influenza like illness (ILI) from routinely recorded general practice clinical narrative to aid a larger retrospective research study into the impact of the 2009 influenza pandemic in New Zealand.

Methods: Rules were assessed using pattern matching heuristics on routine clinical narrative. The system was trained using data from 623 clinical encounters and validated using a clinical expert as a gold standard against a mutually exclusive set of 901 records.

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The closure of the Manawatu Gorge in New Zealand in August 2011 caused a change in the travel time for patients living in the east of the MidCentral Health District to their health services located in Palmerston North. This presented an opportunity to study the effect a change in spatial access had on a population before and after such an event. We used a retrospective cohort design with routinely collected data from general practice and hospital services.

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Aim: To consider two definitions for utilisation reporting in primary care in New Zealand and to assess the affect of two reporting methods on volumes of utilisation in four primary health organisations (PHOs).

Methods: Utilisation data was analysed for a 6-month period from 60 practices across four PHOs. Analysis was based on comparing the expected volumes from two alternative collection and reporting methods, named "matched" and "unmatched" reporting.

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