A tertiary approach to improving equity in health: quantitative analysis of the Māori and Pacific Admission Scheme MAPAS process, 2008–2012Report as inadecuate




A tertiary approach to improving equity in health: quantitative analysis of the Māori and Pacific Admission Scheme MAPAS process, 2008–2012 - Download this document for free, or read online. Document in PDF available to download.

International Journal for Equity in Health

, 14:7

First Online: 20 January 2015Received: 12 September 2014Accepted: 06 January 2015DOI: 10.1186-s12939-015-0133-7

Cite this article as: Curtis, E., Wikaire, E., Jiang, Y. et al. Int J Equity Health 2015 14: 7. doi:10.1186-s12939-015-0133-7

Abstract

IntroductionAchieving health equity for indigenous and ethnic minority populations requires the development of an ethnically diverse health workforce. This study explores a tertiary admission programme targeting Māori and Pacific applicants to nursing, pharmacy and health sciences a precursor to medicine at the University of Auckland UoA, Aotearoa New Zealand NZ. Application of cognitive and non-cognitive selection tools, including a Multiple Mini Interview MMI, are examined.

MethodsIndigenous Kaupapa Māori methodology guided analysis of the Māori and Pacific Admission Scheme MAPAS for the years 2008–2012. Multiple logistic regression models were used to identify the predicted effect of admission variables on the final MAPAS recommendation of best starting point for success in health professional study i.e. ‘CertHSc’ Certificate in Health Sciences, bridging-foundation, ‘Bachelor’ degree-level or ‘Not FMHS’ Faculty of Medical and Health Sciences. Regression analyses controlled for interview year, gender and ancestry.

ResultsOf the 918 MAPAS interviewees: 35% 319 were Māori, 58% 530 Pacific, 7% 68 Māori-Pacific; 71% 653 school leavers; 72% 662 females. The average rank score was 167-320, 40–80 credits below guaranteed FMHS degree offers. Just under half of all interviewees were recommended ‘CertHSc’ 47% 428, 13% 117 ‘Bachelor’ and 38% 332 ‘Not FMHS’ as the best starting point. Strong associations were identified between Bachelor recommendation and exposure to Any 2 Sciences OR:7.897, CI:3.855-16.175; p < 0.0001, higher rank score OR:1.043, CI:1.034-1.052; p < 0.0001 and higher scores on MAPAS mathematics test OR:1.043, CI:1.028-1.059; p < 0.0001. MMI stations had mixed associations, with academic preparation and career aspirations more consistently associated with recommendations.

ConclusionsOur findings raise concerns about the ability of the secondary education sector to prepare Māori and Pacific students adequately for health professional study. A comprehensive tertiary admissions process using multiple tools for selection cognitive and non-cognitive and the provision of alternative entry pathways are recommended for indigenous and ethnic minority health workforce development. The application of the MMI within an equity and indigenous cultural context can support a holistic assessment of an applicant’s potential to succeed within tertiary study. The new MAPAS admissions process may provide an exemplar for other tertiary institutions looking to widen participation via equity-targeted admission processes.

KeywordsMāori Pacific Indigenous Ethnic minority Health workforce development Tertiary admission Multiple mini interview Widening participation Secondary education AbbreviationsCertHScHikitia Te Ora - Certificate in Health Sciences

CIECambridge International Examination

FCFew concerns

FMHSFaculty of Medical and Health Sciences

GPAGrade point average

IBInternational Baccalaureate Examination

KMRKaupapa Māori Research

NCEANational Certificate in Educational Attainment

NZNew Zealand

MAPASMāori and Pacific Admission Scheme

MCATMedical College Admission Test

MMIMultiple Mini Interview

SMCSome or major concerns

SSOStudent Services Online

UEUniversity Entrance

UMATUndergraduate Medical and Health Sciences Admission Test

UoAThe University of Auckland

USAUnited States of America

WAPWhakapiki Ake Project

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Author: Elana Curtis - Erena Wikaire - Yannan Jiang - Louise McMillan - Rob Loto - Airini - Papaarangi Reid

Source: https://link.springer.com/







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