Characteristics of Existing Online Patient Navigation Interventions: Scoping Review.

IF 3.1 3区 医学 Q2 MEDICAL INFORMATICS JMIR Medical Informatics Pub Date : 2024-08-19 DOI:10.2196/50307
Meghan Marsh, Syeda Rafia Shah, Sarah E P Munce, Laure Perrier, Tin-Suet Joan Lee, Tracey J F Colella, Kristina Marie Kokorelias
{"title":"Characteristics of Existing Online Patient Navigation Interventions: Scoping Review.","authors":"Meghan Marsh, Syeda Rafia Shah, Sarah E P Munce, Laure Perrier, Tin-Suet Joan Lee, Tracey J F Colella, Kristina Marie Kokorelias","doi":"10.2196/50307","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Patient navigation interventions (PNIs) can provide personalized support and promote appropriate coordination or continuation of health and social care services. Online PNIs have demonstrated excellent potential for improving patient knowledge, transition readiness, self-efficacy, and use of services. However, the characteristics (ie, intervention type, mode of delivery, duration, frequency, outcomes and outcome measures, underlying theories or mechanisms of change of the intervention, and impact) of existing online PNIs to support the health and social needs of individuals with illness remain unclear.</p><p><strong>Objective: </strong>This scoping review of the existing literature aims to identify the characteristics of existing online PNIs reported in the literature.</p><p><strong>Methods: </strong>A scoping review based on the guidelines outlined in the Joanna Briggs Institute framework was conducted. A search for peer-reviewed literature published between 1989 and 2022 on online PNIs was conducted using MEDLINE, CINAHL, Embase, PsycInfo, and Cochrane Library databases. Two independent reviewers conducted 2 levels of screening. Data abstraction was conducted to outline key study characteristics (eg, study design, population, and intervention characteristics). The data were analyzed using descriptive statistics and qualitative content analysis.</p><p><strong>Results: </strong>A total of 100 studies met the inclusion criteria. Our findings indicate that a variety of study designs are used to describe and evaluate online PNIs, with literature being published between 2003 and 2022 in Western countries. Of these studies, 39 (39%) studies were randomized controlled trials. In addition, we noticed an increase in reported online PNIs since 2019. The majority of studies involved White females with a diagnosis of cancer and a lack of participants aged 70 years or older was observed. Most online PNIs provide support through navigation, self-management and lifestyle changes, counseling, coaching, education, or a combination of support. Variation was noted in terms of mode of delivery, duration, and frequency. Only a small number of studies described theoretical frameworks or change mechanisms to guide intervention.</p><p><strong>Conclusions: </strong>To our knowledge, this is the first review to comprehensively synthesize the existing literature on online PNIs, by focusing on the characteristics of interventions and studies in this area. Inconsistency in reporting the country of publication, population characteristics, duration and frequency of interventions, and a lack of the use of underlying theories and working mechanisms to inform intervention development, provide guidance for the reporting of future online PNIs.</p>","PeriodicalId":56334,"journal":{"name":"JMIR Medical Informatics","volume":"12 ","pages":"e50307"},"PeriodicalIF":3.1000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11369544/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR Medical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/50307","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Patient navigation interventions (PNIs) can provide personalized support and promote appropriate coordination or continuation of health and social care services. Online PNIs have demonstrated excellent potential for improving patient knowledge, transition readiness, self-efficacy, and use of services. However, the characteristics (ie, intervention type, mode of delivery, duration, frequency, outcomes and outcome measures, underlying theories or mechanisms of change of the intervention, and impact) of existing online PNIs to support the health and social needs of individuals with illness remain unclear.

Objective: This scoping review of the existing literature aims to identify the characteristics of existing online PNIs reported in the literature.

Methods: A scoping review based on the guidelines outlined in the Joanna Briggs Institute framework was conducted. A search for peer-reviewed literature published between 1989 and 2022 on online PNIs was conducted using MEDLINE, CINAHL, Embase, PsycInfo, and Cochrane Library databases. Two independent reviewers conducted 2 levels of screening. Data abstraction was conducted to outline key study characteristics (eg, study design, population, and intervention characteristics). The data were analyzed using descriptive statistics and qualitative content analysis.

Results: A total of 100 studies met the inclusion criteria. Our findings indicate that a variety of study designs are used to describe and evaluate online PNIs, with literature being published between 2003 and 2022 in Western countries. Of these studies, 39 (39%) studies were randomized controlled trials. In addition, we noticed an increase in reported online PNIs since 2019. The majority of studies involved White females with a diagnosis of cancer and a lack of participants aged 70 years or older was observed. Most online PNIs provide support through navigation, self-management and lifestyle changes, counseling, coaching, education, or a combination of support. Variation was noted in terms of mode of delivery, duration, and frequency. Only a small number of studies described theoretical frameworks or change mechanisms to guide intervention.

Conclusions: To our knowledge, this is the first review to comprehensively synthesize the existing literature on online PNIs, by focusing on the characteristics of interventions and studies in this area. Inconsistency in reporting the country of publication, population characteristics, duration and frequency of interventions, and a lack of the use of underlying theories and working mechanisms to inform intervention development, provide guidance for the reporting of future online PNIs.

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
现有在线患者导航干预措施的特点:范围审查。
背景:患者导航干预(PNIs)可提供个性化支持,促进医疗和社会护理服务的适当协调或延续。在线患者导航干预在改善患者知识、过渡准备、自我效能和服务使用方面已显示出巨大的潜力。然而,现有的支持患病者健康和社会需求的在线 PNIs 的特点(即干预类型、提供方式、持续时间、频率、结果和结果测量、干预的基本理论或变化机制以及影响)仍不清楚:本文对现有文献进行了范围界定,旨在确定文献中报道的现有在线 PNI 的特征:方法:根据乔安娜-布里格斯研究所(Joanna Briggs Institute)框架中概述的指导方针进行了范围界定审查。我们使用 MEDLINE、CINAHL、Embase、PsycInfo 和 Cochrane Library 数据库检索了 1989 年至 2022 年间发表的有关在线 PNI 的同行评审文献。两名独立审稿人进行了两级筛选。对数据进行抽取,以概括主要研究特征(如研究设计、人群和干预特征)。采用描述性统计和定性内容分析对数据进行了分析:结果:共有 100 项研究符合纳入标准。我们的研究结果表明,有多种研究设计被用于描述和评估在线 PNI,西方国家的文献发表于 2003 年至 2022 年之间。在这些研究中,39 项(39%)研究为随机对照试验。此外,我们注意到自 2019 年以来,报告的在线 PNI 有所增加。大多数研究涉及确诊为癌症的白人女性,并且观察到缺乏 70 岁或 70 岁以上的参与者。大多数在线 PNI 通过导航、自我管理和生活方式改变、咨询、辅导、教育或综合支持等方式提供支持。在提供方式、持续时间和频率方面存在差异。只有少数研究描述了指导干预的理论框架或改变机制:据我们所知,这是第一篇全面综述有关在线 PNIs 的现有文献的综述,其重点是该领域干预措施和研究的特点。在报告发表国、人群特征、干预持续时间和频率方面的不一致性,以及缺乏使用基础理论和工作机制来指导干预发展的情况,为今后报告在线 PNI 提供了指导。
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
JMIR Medical Informatics
JMIR Medical Informatics Medicine-Health Informatics
CiteScore
7.90
自引率
3.10%
发文量
173
审稿时长
12 weeks
期刊介绍: JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals. Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.
期刊最新文献
Factors Contributing to Successful Information System Implementation and Employee Well-Being in Health Care and Social Welfare Professionals: Comparative Cross-Sectional Study. Bidirectional Long Short-Term Memory-Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches. Correlation between Diagnosis-related Group Weights and Nursing Time in the Cardiology Department: A Cross-sectional Study. Data Ownership in the AI-Powered Integrative Health Care Landscape. Medication Prescription Policy for US Veterans With Metastatic Castration-Resistant Prostate Cancer: Causal Machine Learning Approach.
×
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