{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:40:04Z","timestamp":1742953204161,"version":"3.40.3"},"reference-count":0,"publisher":"Pasifika Medical Association Group","issue":"1612","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["NZMJ"],"abstract":"<jats:p>aim: The 2006 New Zealand national multiple sclerosis (MS) prevalence study (NZMSPS) provided invaluable information about the\nprevalence of MS in Aotearoa and characteristics of people with this debilitating condition. This study aimed to update the NZMSPS by\nidentifying people with MS using linked administrative health records.\nmethods: Cases of MS were identified from hospitalisation, pharmaceutical dispensing, needs assessments for older adults and\ndisability support records between January 1988 and June 2022. MS prevalence was estimated, and characteristics described and\ncompared by sub-groups.\nresults: A total of 7,890 people (73% female) with MS were identified across the study period. The estimated crude national prevalence\nof MS in 2022 was 96.6 per 100,000 (72.4 in 2006). MS prevalence exhibited a strong latitudinal gradient. Estimated age-adjusted\nprevalence was highest for Europeans (124.7 per 100,000), followed by Middle Eastern\/Latin American\/African (MELAA) (85.5), M\u0101ori\n(41.8), Asian (16.8) and Pacific peoples (11.1) ethnic groups.\nconclusion: Characteristics of MS cases were broadly similar to previous research, excepting a greater estimated prevalence among\nM\u0101ori, and a lower relative estimated prevalence for Auckland than surrounding regions. Linked administrative health data can be used\nto identify people with MS in Aotearoa, providing a mechanism for further research.<\/jats:p>","DOI":"10.26635\/6965.6823","type":"journal-article","created":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:04:15Z","timestamp":1742951055000},"page":"71-82","source":"Crossref","is-referenced-by-count":0,"title":["Identifying multiple sclerosis in linked administrative health data in Aotearoa New Zealand"],"prefix":"10.26635","volume":"138","author":[{"given":"Natalia","family":"Boven","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deborah","family":"Mason,","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barry","family":"Milne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annemarei","family":"Ranta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Sporle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Underwood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julie","family":"Winter-Smith","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vanessa","family":"Selak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11177","published-online":{"date-parts":[[2025,3,28]]},"container-title":["New Zealand Medical Journal"],"original-title":[],"deposited":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:04:19Z","timestamp":1742951059000},"score":1,"resource":{"primary":{"URL":"https:\/\/nzmj.org.nz\/journal\/vol-138-no-1612\/identifying-multiple-sclerosis-in-linked-administrative-health-data-in-aotearoa-new-zealand"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,28]]},"references-count":0,"journal-issue":{"issue":"1612","published-online":{"date-parts":[[2025,3,28]]}},"URL":"https:\/\/doi.org\/10.26635\/6965.6823","relation":{},"ISSN":["1175-8716"],"issn-type":[{"value":"1175-8716","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,28]]}}}