{"id":7538,"date":"2025-06-28T19:06:13","date_gmt":"2025-06-28T19:06:13","guid":{"rendered":"https:\/\/ijssass.com\/journal\/occupancy-data-unravelling-the-mystery\/"},"modified":"2025-06-29T05:06:30","modified_gmt":"2025-06-29T05:06:30","slug":"occupancy-data-unravelling-the-mystery","status":"publish","type":"post","link":"https:\/\/ijssass.com\/journal\/occupancy-data-unravelling-the-mystery\/","title":{"rendered":"Occupancy data: unravelling the mystery"},"content":{"rendered":"

This article was originally published as: Occupancy data: unravelling the mystery<\/strong><\/p>\n

Original Article Link: Read Original Article<\/a><\/p>\n

Download PDF: Click Here to Download PDF<\/a><\/p>\n

Abstract<\/h2>\n

Objective: The main purpose of this study was to clarify the method used to calculate bed occupancy rates.
\nDesign: Qualitative, using semi\u2011structured face\u2011to\u2011face interviews, telephone interviews and email correspondence with internal and external stakeholders, as well as analysis of key documents.
\nSetting: A tertiary hospital in Queensland, Australia.
\nParticipants: Nursing and administrative staff from 34 clinical areas, nurse managers and finance officers.
\nMain outcome measure: Identification of the method used to calculate bed occupancy.
\nResults: A number of issues potentially impact on the accuracy of occupancy data including timeliness of data entry, knowledge about what should be entered and skill deficits. There was also considerable confusion and misinformation about how occupancy data is calculated, used and reported.
\nConclusion: Occupancy data integrity may be compromised by timeliness and accuracy of data entry and by methods used for calculation. Until these problems are resolved, occupancy remains a woolly measure on which to estimate nursing resources.<\/p>\n

Authors<\/h2>\n
    \n
  • Johanna Stevenson<\/li>\n
  • Susan Anderson<\/li>\n
  • Kate Veach<\/li>\n
  • Bette-Anne Hine<\/li>\n
  • Joan Webster<\/li>\n
  • Lesley Fleming<\/li>\n
  • Sonya Osborne<\/li>\n<\/ul>\n

    Keywords<\/h2>\n

    bed occupancy, nursing workload, nursing resources<\/p>\n

    References<\/h2>\n

    References not available for this article.<\/p>\n","protected":false},"excerpt":{"rendered":"

    This article was originally published as: Occupancy data: unravelling the mystery Original Article Link: Read Original Article Download PDF: Click…<\/p>\n","protected":false},"author":21,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[124],"tags":[4754,4756,4755],"class_list":["post-7538","post","type-post","status-publish","format-standard","hentry","category-articles","tag-bed-occupancy","tag-nursing-resources","tag-nursing-workload","wpcat-124-id"],"yoast_head":"\nOccupancy data: unravelling the mystery - IJSSASS Repository<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ijssass.com\/journal\/occupancy-data-unravelling-the-mystery\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Occupancy data: unravelling the mystery - 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