Investigating a novel population health management system to increase access to healthcare for children: a nested cross-sectional study within a cluster randomised controlled trial.

IF 5.6 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Elizabeth Cecil, Julia Forman, James Newham, Nan Hu, Raghu Lingam, Ingrid Wolfe
{"title":"Investigating a novel population health management system to increase access to healthcare for children: a nested cross-sectional study within a cluster randomised controlled trial.","authors":"Elizabeth Cecil, Julia Forman, James Newham, Nan Hu, Raghu Lingam, Ingrid Wolfe","doi":"10.1136/bmjqs-2024-017223","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Early intervention for unmet needs is essential to improve health. Clear inequalities in healthcare use and outcomes exist. The Children and Young People's Health Partnership (CYPHP) model of care uses population health management methods to (1) identify and proactively reach children with asthma, eczema and constipation (tracer conditions); (2) engage these families, with CYPHP, by sending invitations to complete an online biopsychosocial Healthcheck Questionnaire; and (3) offer early intervention care to those children found to have unmet health needs. We aimed to understand this model's effectiveness to improve equitable access to care.</p><p><strong>Methods: </strong>We used primary care and CYPHP service-linked records and applied the same methods as the CYPHP's population health management process to identify children aged <16 years with a tracer condition between 1 April 2018 and 30 August 2020, those who engaged by completing a Healthcheck and those who received early intervention care. We applied multiple imputation with multilevel logistic regression, clustered by general practitioner (GP) practice, to investigate the association of deprivation and ethnicity, with children's engagement and receiving care.</p><p><strong>Results: </strong>Among 129 412 children, registered with 70 GP practices, 15% (19 773) had a tracer condition and 24% (4719) engaged with CYPHP's population health management system. Children in the most deprived, compared with least deprived communities, had 26% lower odds of engagement (OR 0.74; 95% CI 0.62 to 0.87). Children of Asian or black ethnicity had 31% lower odds of engaging, compared with white children (0.69 (0.59 to 0.81) and 0.69 (0.62 to 0.76), respectively). However, once engaged with the population health management system, black children had 43% higher odds of receiving care, compared with white children (1.43 (1.15 to 1.78)), and children from the most compared with least deprived communities had 50% higher odds of receiving care (1.50 (1.01 to 2.22)).</p><p><strong>Conclusion: </strong>Detection of unmet needs is possible using population health management methods and increases access to care for children from priority populations with the highest needs. Further health system strengthening is needed to improve engagement and enhance proportionate universalist access to healthcare.</p><p><strong>Trial registration number: </strong>ClinicalTrials.gov Registry (NCT03461848).</p>","PeriodicalId":9077,"journal":{"name":"BMJ Quality & Safety","volume":null,"pages":null},"PeriodicalIF":5.6000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11503201/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Quality & Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjqs-2024-017223","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Early intervention for unmet needs is essential to improve health. Clear inequalities in healthcare use and outcomes exist. The Children and Young People's Health Partnership (CYPHP) model of care uses population health management methods to (1) identify and proactively reach children with asthma, eczema and constipation (tracer conditions); (2) engage these families, with CYPHP, by sending invitations to complete an online biopsychosocial Healthcheck Questionnaire; and (3) offer early intervention care to those children found to have unmet health needs. We aimed to understand this model's effectiveness to improve equitable access to care.

Methods: We used primary care and CYPHP service-linked records and applied the same methods as the CYPHP's population health management process to identify children aged <16 years with a tracer condition between 1 April 2018 and 30 August 2020, those who engaged by completing a Healthcheck and those who received early intervention care. We applied multiple imputation with multilevel logistic regression, clustered by general practitioner (GP) practice, to investigate the association of deprivation and ethnicity, with children's engagement and receiving care.

Results: Among 129 412 children, registered with 70 GP practices, 15% (19 773) had a tracer condition and 24% (4719) engaged with CYPHP's population health management system. Children in the most deprived, compared with least deprived communities, had 26% lower odds of engagement (OR 0.74; 95% CI 0.62 to 0.87). Children of Asian or black ethnicity had 31% lower odds of engaging, compared with white children (0.69 (0.59 to 0.81) and 0.69 (0.62 to 0.76), respectively). However, once engaged with the population health management system, black children had 43% higher odds of receiving care, compared with white children (1.43 (1.15 to 1.78)), and children from the most compared with least deprived communities had 50% higher odds of receiving care (1.50 (1.01 to 2.22)).

Conclusion: Detection of unmet needs is possible using population health management methods and increases access to care for children from priority populations with the highest needs. Further health system strengthening is needed to improve engagement and enhance proportionate universalist access to healthcare.

Trial registration number: ClinicalTrials.gov Registry (NCT03461848).

调查新型人口健康管理系统,以增加儿童获得医疗保健的机会:群组随机对照试验中的嵌套横断面研究。
背景:对未满足的需求进行早期干预对改善健康状况至关重要。在医疗保健的使用和结果方面存在着明显的不平等。儿童与青少年健康合作计划(CYPHP)的护理模式采用人口健康管理方法:(1)识别并主动接触患有哮喘、湿疹和便秘(示踪条件)的儿童;(2)通过邀请这些家庭完成在线生物-心理-社会健康检查问卷,让他们参与到 CYPHP 中;(3)为那些发现有未满足健康需求的儿童提供早期干预护理。我们的目的是了解这种模式在改善公平获得医疗服务方面的有效性:方法:我们使用初级保健和 CYPHP 服务链接记录,并采用与 CYPHP 人口健康管理流程相同的方法来识别儿童年龄:在 70 家全科医生诊所登记的 129 412 名儿童中,15%(19 773 人)患有追踪病症,24%(4 719 人)使用了 CYPHP 人口健康管理系统。与最贫困社区的儿童相比,最贫困社区的儿童参与的几率要低 26%(OR 0.74;95% CI 0.62 至 0.87)。与白人儿童相比,亚裔或黑人儿童参与的几率要低 31%(分别为 0.69(0.59 至 0.81)和 0.69(0.62 至 0.76))。然而,与白人儿童相比,黑人儿童一旦参与人口健康管理系统,其接受护理的几率要高出43%(1.43(1.15至1.78)),来自最贫困社区的儿童与来自最不贫困社区的儿童相比,其接受护理的几率要高出50%(1.50(1.01至2.22)):结论:使用人口健康管理方法可以发现未满足的需求,并增加来自需求最高的重点人群的儿童获得护理的机会。需要进一步加强卫生系统,以提高参与度并加强按比例普及医疗保健服务:试验注册号:ClinicalTrials.gov Registry (NCT03461848)。
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 求助全文
来源期刊
BMJ Quality & Safety
BMJ Quality & Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
9.80
自引率
7.40%
发文量
104
审稿时长
4-8 weeks
期刊介绍: BMJ Quality & Safety (previously Quality & Safety in Health Care) is an international peer review publication providing research, opinions, debates and reviews for academics, clinicians and healthcare managers focused on the quality and safety of health care and the science of improvement. The journal receives approximately 1000 manuscripts a year and has an acceptance rate for original research of 12%. Time from submission to first decision averages 22 days and accepted articles are typically published online within 20 days. Its current impact factor is 3.281.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信