Demystifying environmental health-related diseases: Using ICD codes to facilitate environmental health clinical referrals.

Melissa Stoneham, Peter Schneider, James Dodds
{"title":"Demystifying environmental health-related diseases: Using ICD codes to facilitate environmental health clinical referrals.","authors":"Melissa Stoneham, Peter Schneider, James Dodds","doi":"10.1177/18333583241300235","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> The burden of disease of Aboriginal and Torres Strait Islander people is estimated as 2.3 times that of the broader Australian population, with between 30% and 50% of health inequalities attributable to poor environmental health. <b>Objective:</b> Although many Australian states and territories have clinical policy initiatives that seek to reduce the burden of preventable disease in this population, including field-based environmental health clinical referrals (EHCRs), there is little consistency across the jurisdictions, resulting in less potential to break the cycle of recurrent diseases within the home environment. <b>Method and Results:</b> This study addresses this inconsistency by recommending recognition and categorisation of environmental health risks to allow for accurate diagnosis and comparability across health services and locations by using the <i>International Statistical Classification of Diseases and Related Health Problems</i> (ICD) system, already in use in hospitals. <b>Conclusion and Implications:</b> Developing a list of mutually agreed environmental health attributable diseases for the EHCR process using assigned ICD-10-AM codes would influence the provision of primary care to include recognition of the impact of environmental health conditions and allow environmental health staff to provide a response and education at both community and household levels to break disease cycles.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241300235"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health information management : journal of the Health Information Management Association of Australia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18333583241300235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The burden of disease of Aboriginal and Torres Strait Islander people is estimated as 2.3 times that of the broader Australian population, with between 30% and 50% of health inequalities attributable to poor environmental health. Objective: Although many Australian states and territories have clinical policy initiatives that seek to reduce the burden of preventable disease in this population, including field-based environmental health clinical referrals (EHCRs), there is little consistency across the jurisdictions, resulting in less potential to break the cycle of recurrent diseases within the home environment. Method and Results: This study addresses this inconsistency by recommending recognition and categorisation of environmental health risks to allow for accurate diagnosis and comparability across health services and locations by using the International Statistical Classification of Diseases and Related Health Problems (ICD) system, already in use in hospitals. Conclusion and Implications: Developing a list of mutually agreed environmental health attributable diseases for the EHCR process using assigned ICD-10-AM codes would influence the provision of primary care to include recognition of the impact of environmental health conditions and allow environmental health staff to provide a response and education at both community and household levels to break disease cycles.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
揭开环境健康相关疾病的神秘面纱:使用 ICD 编码促进环境健康临床转诊。
背景:据估计,土著居民和托雷斯海峡岛民的疾病负担是澳大利亚总人口的 2.3 倍,其中 30% 至 50% 的健康不平等可归因于环境卫生差。目标:尽管澳大利亚许多州和地区都制定了临床政策措施,包括基于实地的环境健康临床转诊(EHCRs),以减轻这一人群中可预防疾病的负担,但各辖区之间几乎没有一致性,从而降低了打破家庭环境中疾病复发循环的可能性。方法和结果:本研究针对这种不一致性,建议对环境健康风险进行识别和分类,以便通过使用已在医院使用的《疾病和相关健康问题国际统计分类》(ICD)系统,在不同医疗服务机构和地点之间进行准确诊断和比较。结论和影响:使用指定的 ICD-10-AM 代码为 EHCR 流程制定一份共同商定的环境健康归因疾病清单,将影响初级保健的提供,包括对环境健康状况影响的认识,并使环境健康工作人员能够在社区和家庭层面提供应对措施和教育,以打破疾病循环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Health information management students' work-integrated learning (professional practice placements): Where do they go and what do they do? Physician-clinical coder collaboration effectively improves coding accuracy: A single-centre prospective study in China. Physicians' acceptance and adoption of mobile health applications during the COVID-19 pandemic in Saudi Arabia: Extending the unified theory of acceptance and use of technology model. The health information management workforce: Looking to the future. Demystifying environmental health-related diseases: Using ICD codes to facilitate environmental health clinical referrals.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1