在全科医学研究中使用短信调查与低收入群体接触:多种方法研究。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-09-05 DOI:10.2196/55354
Elizabeth Sturgiss, Jenny Advocat, Christopher Barton, Emma N Walker, Suzanne Nielsen, Annemarie Wright, Tina Lam, Nilakshi Gunatillaka, Symrin Oad, Christopher Wood
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引用次数: 0

摘要

背景:手机短信是一种常见的人际交流方式。由于其可行性和患者接受度,短信调查在医疗保健和研究领域越来越受到重视。然而,由于在获取手机和数据方面存在障碍以及沟通困难,在实施短信调查时,尤其是针对边缘化人群时,会遇到一些挑战。在初级医疗保健领域,传统的调查(纸质和在线)往往面临响应率低的问题,而由于经济限制、语言障碍和时间限制,弱势群体的响应率尤其低:本研究旨在调查位于社会经济地位较低地区的全科诊所以短信为基础进行患者招募和调查的潜力。该项目旨在通过对澳大利亚全科医生进行筛查来减少酒精相关伤害:本研究采用两步式短信数据收集流程。首先向患者发送一条带有在线调查链接的短信,然后每 3 个月向同意的参与者发送一次调查。与当地基层医疗网络组织的工作人员、参与调查的诊所工作人员和临床医生进行了访谈。定性数据采用实施研究综合框架中的结构进行分析:在 6 家全科诊所中,有 4 家能够向患者发送短信。最初向 8333 名患者发送了短信,收到了 702 条回复(8.2%),其中大部分并非来自低收入群体。与初始回复率低形成鲜明对比的是,持续 3 个月的短信调查回复率有所提高(3 个月时为 55/107,51.4%;6 个月时为 29/67,43.3%;9 个月时为 44/102,43.1%)。我们采访了其中 5 家诊所的 4 名全科医生、4 名护士和 4 名行政人员。定性数据揭示了边缘化群体参与的障碍,包括智能手机访问受限、经济能力受限(电话、互联网和 Wi-Fi 信用)、语言障碍、读写能力问题、心理健康状况以及身体限制(如手部灵活性和视力问题)。业务经理和临床医生提出了克服这些障碍的策略,包括在值得信赖的场所使用纸质调查问卷、在填写调查问卷时提供帮助以及提供酬金以支持参与:虽然用于初级保健研究的短信调查可能对更广泛的人群有用,但还需要做出更多努力,以确保边缘化群体的代表性和参与度。国际注册报告标识符(irrid):RR2-10.3399/BJGPO.2021.0037.
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Using Text Messaging Surveys in General Practice Research to Engage With People From Low-Income Groups: Multi-Methods Study.

Background: SMS text messages through mobile phones are a common means of interpersonal communication. SMS text message surveys are gaining traction in health care and research due to their feasibility and patient acceptability. However, challenges arise in implementing SMS text message surveys, especially when targeting marginalized populations, because of barriers to accessing phones and data as well as communication difficulties. In primary care, traditional surveys (paper-based and online) often face low response rates that are particularly pronounced among disadvantaged groups due to financial limitations, language barriers, and time constraints.

Objective: This study aimed to investigate the potential of SMS text message-based patient recruitment and surveys within general practices situated in lower socioeconomic areas. This study was nested within the Reducing Alcohol-Harm in General Practice project that aimed to reduce alcohol-related harm through screening in Australian general practice.

Methods: This study follows a 2-step SMS text message data collection process. An initial SMS text message with an online survey link was sent to patients, followed by subsequent surveys every 3 months for consenting participants. Interviews were conducted with the local primary health network organization staff, the participating practice staff, and the clinicians. The qualitative data were analyzed using constructs from the Consolidated Framework for Implementation Research.

Results: Out of 6 general practices, 4 were able to send SMS text messages to their patients. The initial SMS text message was sent to 8333 patients and 702 responses (8.2%) were received, most of which were not from a low-income group. This low initial response was in contrast to the improved response rate to the ongoing 3-month SMS text message surveys (55/107, 51.4% at 3 months; 29/67, 43.3% at 6 months; and 44/102, 43.1% at 9 months). We interviewed 4 general practitioners, 4 nurses, and 4 administrative staff from 5 of the different practices. Qualitative data uncovered barriers to engaging marginalized groups including limited smartphone access, limited financial capacity (telephone, internet, and Wi-Fi credit), language barriers, literacy issues, mental health conditions, and physical limitations such as manual dexterity and vision issues. Practice managers and clinicians suggested strategies to overcome these barriers, including using paper-based surveys in trusted spaces, offering assistance during survey completion, and offering honoraria to support participation.

Conclusions: While SMS text message surveys for primary care research may be useful for the broader population, additional efforts are required to ensure the representation and involvement of marginalized groups. More intensive methods such as in-person data collection may be more appropriate to capture the voice of low-income groups in primary care research.

International registered report identifier (irrid): RR2-10.3399/BJGPO.2021.0037.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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