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识别在伦敦国民保健制度信托中处于不平等风险的患者群体中门诊预约就诊的障碍:一项混合方法研究。

Identifying barriers to outpatient appointment attendance in patient groups at risk of inequity: a mixed methods study in a London NHS trust.

机构信息

University of Bath, Bath, UK.

Helix Centre, Institute of Global Health Innovation, Imperial College London, Room 1035/7, QEQM Wing, St Mary's Campus, London, W2 1NY, UK.

出版信息

BMC Health Serv Res. 2024 Apr 30;24(1):554. doi: 10.1186/s12913-024-10947-8.


DOI:10.1186/s12913-024-10947-8
PMID:38693519
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11061980/
Abstract

BACKGROUND: There is significant health inequity in the United Kingdom (U.K.), with different populations facing challenges accessing health services, which can impact health outcomes. At one London National Health Service (NHS) Trust, data showed that patients from deprived areas and minority ethnic groups had a higher likelihood of missing their first outpatient appointment. This study's objectives were to understand barriers to specific patient populations attending first outpatient appointments, explore systemic factors and assess appointment awareness. METHODS: Five high-volume specialties identified as having inequitable access based on ethnicity and deprivation were selected as the study setting. Mixed methods were employed to understand barriers to outpatient attendance, including qualitative semi-structured interviews with patients and staff, observations of staff workflows and interrogation of quantitative data on appointment communication. To identify barriers, semi-structured interviews were conducted with patients who missed their appointment and were from a minority ethnic group or deprived area. Staff interviews and observations were carried out to further understand attendance barriers. Patient interview data were analysed using inductive thematic analysis to create a thematic framework and triangulated with staff data. Subthemes were mapped onto a behavioural science framework highlighting behaviours that could be targeted. Quantitative data from patient interviews were analysed to assess appointment awareness and communication. RESULTS: Twenty-six patients and 11 staff were interviewed, with four staff observed. Seven themes were identified as barriers - communication factors, communication methods, healthcare system, system errors, transport, appointment, and personal factors. Knowledge about appointments was an important identified behaviour, supported by eight out of 26 patients answering that they were unaware of their missed appointment. Environmental context and resources were other strongly represented behavioural factors, highlighting systemic barriers that prevent attendance. CONCLUSION: This study showed the barriers preventing patients from minority ethnic groups or living in deprived areas from attending their outpatient appointment. These barriers included communication factors, communication methods, healthcare the system, system errors, transport, appointment, and personal factors. Healthcare services should acknowledge this and work with public members from these communities to co-design solutions supporting attendance. Our work provides a basis for future intervention design, informed by behavioural science and community involvement.

摘要

背景:英国存在显著的健康不平等现象,不同人群在获取医疗服务方面面临挑战,这可能会影响健康结果。在伦敦的一家国民保健服务信托机构,数据显示,来自贫困地区和少数族裔群体的患者错过首次门诊预约的可能性更高。本研究的目的是了解特定患者群体错过首次门诊预约的障碍,探讨系统性因素并评估预约意识。

方法:选择五个根据族裔和贫困程度确定的门诊就诊机会不平等的高容量专科作为研究环境。采用混合方法了解门诊就诊的障碍,包括对错过预约且来自少数民族或贫困地区的患者进行半结构化访谈和工作人员、观察工作人员的工作流程以及对预约沟通的定量数据进行查询。为了确定障碍,对错过预约且来自少数民族或贫困地区的患者进行了半结构化访谈。对工作人员进行访谈和观察,以进一步了解就诊障碍。使用归纳主题分析对患者访谈数据进行分析,创建主题框架,并与工作人员数据进行三角剖分。子主题被映射到行为科学框架上,突出可以针对的行为。对患者访谈的定量数据进行分析,以评估预约意识和沟通。

结果:共对 26 名患者和 11 名工作人员进行了访谈,并观察了 4 名工作人员。确定了 7 个障碍主题 - 沟通因素、沟通方式、医疗保健系统、系统错误、交通、预约和个人因素。对预约的了解是一个重要的行为,26 名患者中有 8 名回答说他们不知道自己错过了预约。环境背景和资源也是强有力的代表行为因素,突出了阻碍就诊的系统性障碍。

结论:本研究表明,族裔少数群体或生活在贫困地区的患者无法就诊的障碍包括沟通因素、沟通方式、医疗保健系统、系统错误、交通、预约和个人因素。医疗保健服务机构应认识到这一点,并与来自这些社区的公众成员合作,共同设计支持就诊的解决方案。我们的工作为未来的干预措施设计提供了基础,这些措施以行为科学和社区参与为依据。

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本文引用的文献

[1]
Understanding barriers to medical appointment keeping: A case-control study of predictive factors for no-shows and same-day cancellations in dermatology clinics in an academic medical center in the United States.

JAAD Int. 2023-3-28

[2]
Predicting non-attendance in hospital outpatient appointments using deep learning approach.

Health Syst (Basingstoke). 2021-5-24

[3]
Causes, impacts and possible mitigation of non-attendance of appointments within the National Health Service: a literature review.

J Health Organ Manag. 2022-8-4

[4]
Behavioral economics informed message content in text message reminders to improve cervical screening participation: Two pragmatic randomized controlled trials.

Prev Med. 2020-10

[5]
Defining health and health inequalities.

Public Health. 2019-5-31

[6]
Providing no-cost transport to patients in an underserved area: Impact on access to physical therapy.

Physiother Theory Pract. 2018-3-30

[7]
A guide to using the Theoretical Domains Framework of behaviour change to investigate implementation problems.

Implement Sci. 2017-6-21

[8]
Factors associated with No-Shows and rescheduling MRI appointments.

BMC Health Serv Res. 2016-12-1

[9]
"Nudge" and the epidemic of missed appointments.

J Health Organ Manag. 2016-6-20

[10]
Appointment "no-shows" are an independent predictor of subsequent quality of care and resource utilization outcomes.

J Gen Intern Med. 2015-10

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