five

AIHW - Patients Spending on Medicare - Out-of-pocket Cost per Specialist and Obstetric Attendance (SA3) 2016-2017|医疗保健支出数据集|Medicare系统数据集

收藏
Research Data Australia2024-08-03 收录
医疗保健支出
Medicare系统
下载链接:
https://researchdata.edu.au/aihw-patients-spending-2016-2017/2738778
下载链接
链接失效反馈
资源简介:
This dataset presents the footprint of the percentage of patients with specialist and obstetric costs, and out-of-pocket cost per specialist and obstetric attendance at the 25th, 50th, 75th and 90th percentile. The data spans the financial year of 2016-2017 and is aggregated to Statistical Area Level 3 (SA3) from the 2016 Australian Statistical Geography Standard (ASGS).\n\nThe data is sourced from the Medicare Benefits Schedule (MBS) claims data, which are administered by the Australian Government Department of Health. The claims data are derived from administrative information on services that qualify for a Medicare benefit under the Health Insurance Act 1973 and for which a claim has been processed by the Department of Human Services. Data are reported for claims processed between 1 July 2016 and 30 June 2017. The data also contains the results from the ABS 2016-17 Patient Experience Survey, collected between 1 July 2016 and 30 June 2017. The Patient Experience Survey is conducted annually by the Australian Bureau of Statistics (ABS) and collects information from a representative sample of the Australian population. The Patient Experience Survey is one of several components of the Multipurpose Household Survey, as a supplement to the monthly Labour Force Survey.\n\nThe Patients' spending on Medicare Services data accompanies the [Patients' out-of-pocket spending on Medicare services 2016-17 Report](https://www.aihw.gov.au/reports/health-welfare-expenditure/patient-out-pocket-spending-medicare-2016-17/contents/summary).\n\nFor further information about this dataset, visit the data source:[Australian Institute of Health and Welfare - Patients' out-of-pocket spending on Medicare services Data Tables.](https://www.aihw.gov.au/reports/health-welfare-expenditure/patient-out-pocket-spending-medicare-2016-17/data)\n\nPlease note:\n\n * AURIN has spatially enabled the original data.\n\n * Specialist attendances are Medicare-subsidised referred patient/doctor encounters, such as visits, consultations, and attendances by video conference, involving medical practitioners who have been recognised as specialists or consultant physicians for Medicare benefits purposes.\n\n * Obstetric attendances are Medicare-subsidised antenatal visits and attendances for the planning and management of pregnancy, as well as obstetric procedures involving non-admitted patients. These services can be provided by an obstetrician or GP. Selected services can also be provided by a midwife, nurse or Aboriginal and Torres Strait Islander health practitioner when the service is provided on behalf of, and under the supervision of, a medical practitioner.\n\n * Out-of-pocket cost per service is the net cost to the patient of a health service, after deducting the Medicare benefit paid. The measure is calculated per patient (patients' annual out-of-pocket cost for eligible attendances, divided by the number of eligible attendances that the patient claimed in the year), for patients with out-of-pocket costs.\n\n * The data is based on the patient's Medicare enrolment postcode, not where they received the health care service. Most peoples' Medicare enrolment postcode will be their residential postcode.\n\n * If a service was flagged as bulk-billed, then the fee charged was set to equal the benefit paid (so there was no out-of-pocket cost for that service).\n\n * Patients were excluded if the sum of eligible services in the year was less than one, or if their annual out-of-pocket expenditure on the eligible services was equal to or less than zero.\n\n * Includes non-hospital Medicare-subsidised services only.\n\n * NP - Not available for publication. The estimate is considered to be unreliable. Values assigned to NP in the original data have been set to null.\n
提供机构:
Australian Urban Research Infrastructure Network (AURIN)
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

学生课堂行为数据集 (SCB-dataset3)

学生课堂行为数据集(SCB-dataset3)由成都东软学院创建,包含5686张图像和45578个标签,重点关注六种行为:举手、阅读、写作、使用手机、低头和趴桌。数据集覆盖从幼儿园到大学的不同场景,通过YOLOv5、YOLOv7和YOLOv8算法评估,平均精度达到80.3%。该数据集旨在为学生行为检测研究提供坚实基础,解决教育领域中学生行为数据集的缺乏问题。

arXiv 收录

Materials Project

材料项目是一组标有不同属性的化合物。数据集链接: MP 2018.6.1(69,239 个材料) MP 2019.4.1(133,420 个材料)

OpenDataLab 收录

YOLO-dataset

该数据集用于训练YOLO模型,包括分类、检测和姿态识别模型。目前支持v8版本,未来计划支持更多版本。

github 收录

中国行政区划数据

本项目为中国行政区划数据,包括省级、地级、县级、乡级和村级五级行政区划数据。数据来源于国家统计局,存储格式为sqlite3 db文件,支持直接使用数据库连接工具打开。

github 收录

China Kadoorie Biobank (CKB)

China Kadoorie Biobank(CKB)是一项大规模的前瞻性队列研究数据库,旨在通过长期跟踪调查收集中国人群的健康相关信息,包括生活方式、环境暴露、生物样本以及疾病发生发展情况,为慢性病的病因研究和防控策略制定提供科学依据。

www.ckbiobank.org 收录