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移动医疗学校筛查和远程医疗转诊改善阿拉斯加农村地区获得专科护理的机会:整合混合方法数据以了解试验结果的背景。

Mobile Health School Screening and Telemedicine Referral to Improve Access to Specialty Care in Rural Alaska: Integrating Mixed Methods Data to Contextualize Trial Outcomes.

机构信息

Norton Sound Health Corporation, Nome, Alaska, USA.

Center for Hearing Health Equity, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

出版信息

Ear Hear. 2023;44(5):1271-1281. doi: 10.1097/AUD.0000000000001394. Epub 2023 Aug 17.

DOI:10.1097/AUD.0000000000001394
PMID:37594255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10426779/
Abstract

OBJECTIVES

To understand factors associated with outcomes in a cluster-randomized controlled trial that evaluated a telemedicine specialty referral intervention for school hearing screenings in 15 rural Alaskan communities.

DESIGN

Hearing Norton Sound was a mixed methods cluster-randomized controlled trial that compared a telemedicine specialty referral pathway (intervention) to a standard primary care referral pathway (control) for school hearing screenings. As a mixed methods trial, both quantitative and qualitative data were collected, analyzed, and integrated. Main trial results are published elsewhere, but integration of community-specific quantitative outcomes and qualitative results have not yet been reported. The constant comparative method was used to analyze qualitative data from semistructured interviews with six stakeholder groups across all 15 communities. Descriptive statistics were used to describe community-specific proportions of follow-up in both trial years. Qualitative and quantitative results were integrated to reveal relationships between contextual factors and follow-up outcomes across communities.

RESULTS

The Hearing Norton Sound trial enrolled 1481 children from October 2017 to March 2019, with a total of 790 children requiring referral. Of the children who referred in the telemedicine specialty referral pathway communities (intervention), 68.5% received follow-up (268/391), compared to 32.1% (128/399) in primary care referral communities (control)(previously reported). When broken down by community, the mean proportion receiving follow-up was 75.26% (SD 22.5) and 37.9% (SD 11.4) for the telemedicine specialty referral communities and primary care referral communities, respectively. For qualitative data collection, semistructured interviews were conducted with 101 individuals between December 2018 and August 2019. Six stakeholder groups participated: elders (n = 14), parents (n = 25), children (n = 11), teachers/school staff (n = 18), principals (n = 6), and healthcare providers/clinic staff (n = 27). Six overall factors related to the outcomes of the telemedicine specialty referral pathway emerged during analysis: clinic capacity, personnel ownership and engagement, scheduling, telemedicine equipment/processes, communication, and awareness of the need for follow-up. We integrated these factors with the community-specific follow-up percentages and found associations for four of the six qualitative factors: clinic capacity, personnel ownership and engagement, communication, and awareness. An association was not seen for scheduling and telemedicine equipment/processes, which had variable relationships with the follow-up outcome.

CONCLUSIONS

The Hearing Norton Sound trial demonstrated that a telemedicine specialty referral pathway can close the gap on children lost to follow up after school hearing screening. As a whole, the intervention profoundly increased the proportion of children receiving follow-up, but there was variability in outcomes within and between communities. To understand this variability, we analyzed community-specific intervention outcomes alongside community member feedback on factors related to the intervention. We identified four key factors that contributed to the success of the intervention. Attention to these factors will be essential to successful adaptation and implementation of this telemedicine specialty referral intervention and other similar interventions in future work in rural Alaska and beyond.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/10426779/142b5c1f25d0/aud-44-1271-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/10426779/142b5c1f25d0/aud-44-1271-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13ed/10426779/142b5c1f25d0/aud-44-1271-g001.jpg
摘要

目的

了解在阿拉斯加 15 个农村社区进行的一项针对学校听力筛查的远程医疗专科转诊干预的集群随机对照试验中与结果相关的因素。

方法

“听力诺森特声音”是一项混合方法的集群随机对照试验,比较了远程医疗专科转诊途径(干预组)与标准初级保健转诊途径(对照组)对学校听力筛查的转诊情况。作为一项混合方法试验,同时收集、分析和整合了定量和定性数据。主要试验结果已在其他地方发表,但尚未报告社区特定的定量结果和定性结果的整合。采用恒定比较法对来自所有 15 个社区的六个利益相关者群体的半结构化访谈进行定性数据分析。描述性统计用于描述两年试验中每个社区的随访特定比例。将定性和定量结果整合起来,揭示了社区之间与随访结果相关的背景因素之间的关系。

结果

“听力诺森特声音”试验于 2017 年 10 月至 2019 年 3 月期间招募了 1481 名儿童,共有 790 名儿童需要转诊。在远程医疗专科转诊社区(干预组)转诊的儿童中,68.5%(391 名中的 268 名)接受了随访,而在初级保健转诊社区(对照组)中,这一比例为 32.1%(399 名中的 128 名)(此前报道)。按社区细分,接受随访的平均比例分别为远程医疗专科转诊社区为 75.26%(SD 22.5)和初级保健转诊社区为 37.9%(SD 11.4)。在定性数据收集方面,2018 年 12 月至 2019 年 8 月期间进行了 101 次半结构访谈。六个利益相关者群体参与了访谈:老年人(n=14)、父母(n=25)、儿童(n=11)、教师/学校工作人员(n=18)、校长(n=6)和医疗保健提供者/诊所工作人员(n=27)。在分析过程中,出现了与远程医疗专科转诊途径结果相关的六个总体因素:诊所能力、人员所有权和参与度、日程安排、远程医疗设备/流程、沟通和对随访需求的认识。我们将这些因素与社区特定的随访百分比相结合,发现了其中四个定性因素与随访结果之间存在关联:诊所能力、人员所有权和参与度、沟通和对随访需求的认识。日程安排和远程医疗设备/流程没有关联,它们与随访结果之间的关系各不相同。

结论

“听力诺森特声音”试验表明,远程医疗专科转诊途径可以缩小学校听力筛查后儿童失访的差距。总的来说,该干预措施显著增加了接受随访的儿童比例,但在社区内和社区之间存在结果的差异。为了理解这种差异,我们分析了社区特定的干预结果以及社区成员对与干预相关的因素的反馈。我们确定了四个关键因素,这些因素促成了干预的成功。在未来阿拉斯加及其他地区的农村地区开展类似的远程医疗专科转诊干预和其他工作时,关注这些因素对于成功的调整和实施至关重要。

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