改善医疗资源的公平使用:为人员配置制定邻里地区护士需求指数。

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES BMC Health Services Research Pub Date : 2024-11-08 DOI:10.1186/s12913-024-11832-0
Luís Filipe, Roberta Piroddi, Wes Baker, Joe Rafferty, Iain Buchan, Ben Barr
{"title":"改善医疗资源的公平使用:为人员配置制定邻里地区护士需求指数。","authors":"Luís Filipe, Roberta Piroddi, Wes Baker, Joe Rafferty, Iain Buchan, Ben Barr","doi":"10.1186/s12913-024-11832-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Allocating healthcare resources to local areas in proportion to need is an important element of many universal health care systems, aiming to provide equal access for equal need. The UK National Health Service allocates resources to relatively large areas in proportion to need, using needs-weighted capitation formulae. However, within those planning areas, local providers and commissioners also require robust methods for allocating resources to neighbourhoods in proportion to need to ensure equitable access. We therefore developed a local resource allocation formula for NHS district nursing services for a City in the North West of England, demonstrating a novel application of the national formulae principles for equitable resource allocation to small areas.</p><p><strong>Methods: </strong>Using linked data from community health services, primary care, secondary care and social care, we used a zero-inflated Poisson regression to model the number of district nursing services contacts for each individual based on predictors of need, while including the supply of district nurses per head to account for historical supply induced patterns. Individual need was estimated based on the predictions from this model, keeping supply fixed at the average. We then compared the distribution of district nurses between neighbourhoods, based on our formula, to the current service staffing distribution.</p><p><strong>Results: </strong>Key predictors of need for district nursing services were age, deprivation, chronic diseases such as, cardiovascular disease, chronic liver disease, neurological disease, mental ill health, learning disability living in a nursing home, living alone, and receiving palliative care. Need for district nursing services was highly weighted towards older and more deprived populations. The current distribution of staff was, however, more correlated with age than deprivation. Moving to a needs-based staffing distribution would shift staff from less deprived areas to more deprived areas potentially reducing inequalities.</p><p><strong>Conclusion: </strong>A neighbourhood-level model for needs for district nursing is a useful tool that can potentially improve the allocation of resources, addressing unmet need and inequalities.</p>","PeriodicalId":9012,"journal":{"name":"BMC Health Services Research","volume":"24 1","pages":"1362"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11545996/pdf/","citationCount":"0","resultStr":"{\"title\":\"Improving equitable healthcare resource use: developing a neighbourhood district nurse needs index for staffing allocation.\",\"authors\":\"Luís Filipe, Roberta Piroddi, Wes Baker, Joe Rafferty, Iain Buchan, Ben Barr\",\"doi\":\"10.1186/s12913-024-11832-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Allocating healthcare resources to local areas in proportion to need is an important element of many universal health care systems, aiming to provide equal access for equal need. The UK National Health Service allocates resources to relatively large areas in proportion to need, using needs-weighted capitation formulae. However, within those planning areas, local providers and commissioners also require robust methods for allocating resources to neighbourhoods in proportion to need to ensure equitable access. We therefore developed a local resource allocation formula for NHS district nursing services for a City in the North West of England, demonstrating a novel application of the national formulae principles for equitable resource allocation to small areas.</p><p><strong>Methods: </strong>Using linked data from community health services, primary care, secondary care and social care, we used a zero-inflated Poisson regression to model the number of district nursing services contacts for each individual based on predictors of need, while including the supply of district nurses per head to account for historical supply induced patterns. Individual need was estimated based on the predictions from this model, keeping supply fixed at the average. We then compared the distribution of district nurses between neighbourhoods, based on our formula, to the current service staffing distribution.</p><p><strong>Results: </strong>Key predictors of need for district nursing services were age, deprivation, chronic diseases such as, cardiovascular disease, chronic liver disease, neurological disease, mental ill health, learning disability living in a nursing home, living alone, and receiving palliative care. Need for district nursing services was highly weighted towards older and more deprived populations. The current distribution of staff was, however, more correlated with age than deprivation. Moving to a needs-based staffing distribution would shift staff from less deprived areas to more deprived areas potentially reducing inequalities.</p><p><strong>Conclusion: </strong>A neighbourhood-level model for needs for district nursing is a useful tool that can potentially improve the allocation of resources, addressing unmet need and inequalities.</p>\",\"PeriodicalId\":9012,\"journal\":{\"name\":\"BMC Health Services Research\",\"volume\":\"24 1\",\"pages\":\"1362\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-11-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11545996/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Health Services Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12913-024-11832-0\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Health Services Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12913-024-11832-0","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

背景:按需求比例向地方分配医疗资源是许多全民医疗保健系统的重要内容,目的是为同等需求提供同等机会。英国国家医疗服务机构采用需求加权人头计算公式,按需求比例向相对较大的地区分配资源。然而,在这些规划区域内,当地的医疗服务提供者和委托者也需要强有力的方法,按照需求比例向邻里分配资源,以确保公平就医。因此,我们为英格兰西北部一个城市的国民医疗服务体系地区护理服务制定了地方资源分配公式,展示了在小地区公平分配资源的国家公式原则的新颖应用:利用社区卫生服务、初级医疗、二级医疗和社会医疗的关联数据,我们采用零膨胀泊松回归法,根据需求预测因素为每个人建立地区护理服务联系次数模型,同时将地区护士人均供应量纳入模型,以考虑历史供应诱导模式。根据该模型的预测结果估算个人需求,同时将供应量固定在平均水平上。然后,我们将根据计算公式得出的地区护士在邻里之间的分布情况与当前的服务人员分布情况进行了比较:预测地区护理服务需求的主要因素包括年龄、贫困程度、慢性疾病,如心血管疾病、慢性肝病、神经系统疾病、精神疾病、住在养老院的学习障碍者、独居者和接受姑息治疗者。对地区护理服务的需求主要集中在老年人和贫困人口。然而,目前的人员分布与年龄的相关性大于与贫困的相关性。转而采用基于需求的人员分配模式,可将人员从贫困程度较低的地区转移到贫困程度较高的地区,从而减少不平等现象:街区级地区护理需求模型是一个有用的工具,有可能改善资源分配,解决未满足的需求和不平等问题。
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
Improving equitable healthcare resource use: developing a neighbourhood district nurse needs index for staffing allocation.

Background: Allocating healthcare resources to local areas in proportion to need is an important element of many universal health care systems, aiming to provide equal access for equal need. The UK National Health Service allocates resources to relatively large areas in proportion to need, using needs-weighted capitation formulae. However, within those planning areas, local providers and commissioners also require robust methods for allocating resources to neighbourhoods in proportion to need to ensure equitable access. We therefore developed a local resource allocation formula for NHS district nursing services for a City in the North West of England, demonstrating a novel application of the national formulae principles for equitable resource allocation to small areas.

Methods: Using linked data from community health services, primary care, secondary care and social care, we used a zero-inflated Poisson regression to model the number of district nursing services contacts for each individual based on predictors of need, while including the supply of district nurses per head to account for historical supply induced patterns. Individual need was estimated based on the predictions from this model, keeping supply fixed at the average. We then compared the distribution of district nurses between neighbourhoods, based on our formula, to the current service staffing distribution.

Results: Key predictors of need for district nursing services were age, deprivation, chronic diseases such as, cardiovascular disease, chronic liver disease, neurological disease, mental ill health, learning disability living in a nursing home, living alone, and receiving palliative care. Need for district nursing services was highly weighted towards older and more deprived populations. The current distribution of staff was, however, more correlated with age than deprivation. Moving to a needs-based staffing distribution would shift staff from less deprived areas to more deprived areas potentially reducing inequalities.

Conclusion: A neighbourhood-level model for needs for district nursing is a useful tool that can potentially improve the allocation of resources, addressing unmet need and inequalities.

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
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
期刊最新文献
Decarbonizing surgical care: a qualitative systematic review guided by the Congruence Model. Qualitative exploration of 3D printing in Swedish healthcare: perceived effects and barriers. A tailored intervention for the detection of patients with coronary heart disease and mental or cognitive comorbidities in the German primary care setting: qualitative evaluation of implementation success. Breaking barriers: a qualitative exploration of healthcare access for crack cocaine users in Limerick. Intention to use mobile text message reminders for medication adherence among hypertensive patients in North West Ethiopia: a cross-sectional study.
×
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