利用新的时间安排政策,将接受心理健康服务的儿童和青少年的等待时间从65天减少到40天以下。

IF 1.6 Q3 HEALTH POLICY & SERVICES Health Services Management Research Pub Date : 2023-11-01 Epub Date: 2022-08-31 DOI:10.1177/09514848221122895
Anders N Gullhav, Johan F Skomsvoll, Runa Heimstad, Joseph S Schultz
{"title":"利用新的时间安排政策,将接受心理健康服务的儿童和青少年的等待时间从65天减少到40天以下。","authors":"Anders N Gullhav,&nbsp;Johan F Skomsvoll,&nbsp;Runa Heimstad,&nbsp;Joseph S Schultz","doi":"10.1177/09514848221122895","DOIUrl":null,"url":null,"abstract":"<p><p>The aim of this study is to conduct an intervention that tests whether a new scheduling policy designed to reduce waiting times actually will lead to a reduction in waiting times. The new scheduling policy was developed using mixed methods. Qualitative data was gathered to fully understand current planning processes, while quantitative methods were used to model and predict future waiting times. If current planning practices are continued, waiting times will only increase. Additionally, the findings show that simulation modeling can be used to predict the capacity needed for intakes (first appointment) to reduce and maintain target waiting times over time. In our study, this meant a slight increase in capacity for intakes. This new scheduling policy led to a reduction in waiting times from 65 days in 2016, to under 40 days post-intervention in 2017. Waiting times have been held under 40 days since implementation of the new policy, 2017-2020. Our study shows that setting appropriate (weekly) intake goals, will lead to maintaining acceptable levels of variation in waiting times. This theory was tested and proven to be effective.</p>","PeriodicalId":45801,"journal":{"name":"Health Services Management Research","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reducing waiting times from 65 to under 40 days for children and adolescents receiving mental health services using a new scheduling policy.\",\"authors\":\"Anders N Gullhav,&nbsp;Johan F Skomsvoll,&nbsp;Runa Heimstad,&nbsp;Joseph S Schultz\",\"doi\":\"10.1177/09514848221122895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The aim of this study is to conduct an intervention that tests whether a new scheduling policy designed to reduce waiting times actually will lead to a reduction in waiting times. The new scheduling policy was developed using mixed methods. Qualitative data was gathered to fully understand current planning processes, while quantitative methods were used to model and predict future waiting times. If current planning practices are continued, waiting times will only increase. Additionally, the findings show that simulation modeling can be used to predict the capacity needed for intakes (first appointment) to reduce and maintain target waiting times over time. In our study, this meant a slight increase in capacity for intakes. This new scheduling policy led to a reduction in waiting times from 65 days in 2016, to under 40 days post-intervention in 2017. Waiting times have been held under 40 days since implementation of the new policy, 2017-2020. Our study shows that setting appropriate (weekly) intake goals, will lead to maintaining acceptable levels of variation in waiting times. This theory was tested and proven to be effective.</p>\",\"PeriodicalId\":45801,\"journal\":{\"name\":\"Health Services Management Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Services Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09514848221122895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/8/31 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Management Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09514848221122895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/8/31 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

本研究的目的是进行干预,测试旨在减少等待时间的新调度策略是否真的会减少等待时间。新的调度策略是使用混合方法开发的。收集定性数据以充分了解当前的规划过程,同时使用定量方法对未来的等待时间进行建模和预测。如果继续目前的规划做法,等待时间只会增加。此外,研究结果表明,模拟建模可用于预测招生(首次预约)所需的容量,以减少和保持一段时间内的目标等待时间。在我们的研究中,这意味着摄入量略有增加。这一新的日程安排政策将等待时间从2016年的65天减少到2017年干预后的40天以下。自2017-2020年新政策实施以来,等待时间一直保持在40天以下。我们的研究表明,设定适当的(每周)摄入目标,将使等待时间保持可接受的变化水平。这一理论经过检验并证明是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Reducing waiting times from 65 to under 40 days for children and adolescents receiving mental health services using a new scheduling policy.

The aim of this study is to conduct an intervention that tests whether a new scheduling policy designed to reduce waiting times actually will lead to a reduction in waiting times. The new scheduling policy was developed using mixed methods. Qualitative data was gathered to fully understand current planning processes, while quantitative methods were used to model and predict future waiting times. If current planning practices are continued, waiting times will only increase. Additionally, the findings show that simulation modeling can be used to predict the capacity needed for intakes (first appointment) to reduce and maintain target waiting times over time. In our study, this meant a slight increase in capacity for intakes. This new scheduling policy led to a reduction in waiting times from 65 days in 2016, to under 40 days post-intervention in 2017. Waiting times have been held under 40 days since implementation of the new policy, 2017-2020. Our study shows that setting appropriate (weekly) intake goals, will lead to maintaining acceptable levels of variation in waiting times. This theory was tested and proven to be effective.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Health Services Management Research
Health Services Management Research HEALTH POLICY & SERVICES-
CiteScore
4.00
自引率
4.80%
发文量
33
期刊介绍: Health Services Management Research (HSMR) is an authoritative international peer-reviewed journal which publishes theoretically and empirically rigorous research on questions of enduring interest to health-care organizations and systems throughout the world. Examining the real issues confronting health services management, it provides an independent view and cutting edge evidence-based research to guide policy-making and management decision-making. HSMR aims to be a forum serving an international community of academics and researchers on the one hand and healthcare managers, executives, policymakers and clinicians and all health professionals on the other. HSMR wants to make a substantial contribution to both research and managerial practice, with particular emphasis placed on publishing studies which offer actionable findings and on promoting knowledge mobilisation toward theoretical advances.
期刊最新文献
An exploration of factors leading to readiness for organizational health literacy change in community-based health organizations. The (very real) risk of irrelevance, and the great opportunity. Financial management, efficiency, and care quality: A systematic review in the context of Health 4.0. The impact of policy and technology infrastructure on telehealth utilization. Factors influencing use of eHealth services during and after the COVID-19 pandemic.
×
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