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dc.contributor.authorCrawford, Laura Jessie
dc.date.accessioned2019-05-16T21:26:51Z
dc.date.available2019-05-16T21:26:51Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10179/14634
dc.description.abstractWith administrative data increasingly being recorded electronically, data linkage has become a popular method of research. It involves the linkage of two data sets – survey and administrative data, in the current study – to create a wider and more varied data set, with which a greater number of research questions can be examined. Seeking consent from participants to link their data is an ethical and legal requirement. However, consent seeking may create systematic bias as likelihood of consenting may be associated with a variety of health and socioeconomic variables. Variables associated with consent were examined for linkage between the Health, Work and Retirement longitudinal study and Ministry of Health data sets in New Zealand. Unlike previous studies of this type, participants were older adults. Binary logistic regression revealed that Māori ethnicity (OR 0.68), Diabetes (OR 0.66), and participating for more survey waves (OR 1.88) were significantly associated with consent. The model explained 7 to 10% of the variance in consent, suggesting that older adults are not greatly influenced by these variables. Implications for research and policy are discussed.en_US
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectMedical record linkage -- New Zealand -- Data processingen_US
dc.subjectMedical records -- Access control -- New Zealanden_US
dc.subjectOlder people -- New Zealand -- Longitudinal studiesen_US
dc.subjectSocial sciences -- Data processingen_US
dc.subjectLogistic regression analysisen_US
dc.titleConsent to link health data : older adults in New Zealand : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University, Manawatū, New Zealanden_US
dc.typeThesisen_US
thesis.degree.disciplinePsychologyen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Arts (MA)en_US


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