发现与情感障碍导致的残疾相关的医疗延误的患者的风险模式。

Discovering risk patterns in people with affective disorder-induced disabilities associated with their healthcare delay.

机构信息

Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu, China.

National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Australian Capital Territory, Australia.

出版信息

Int Health. 2023 Nov 3;15(6):723-733. doi: 10.1093/inthealth/ihad020.

DOI:10.1093/inthealth/ihad020

PMID:36960797

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10629950/

Abstract

BACKGROUND

People with affective disorder-induced disabilities (ADIDs) often experience complex needs that delay their healthcare. Discovering hidden patterns in these people for real-world use of health services is essential to improve healthcare delivery.

METHODS

A cross-sectional study population (2501 adults with ADIDs) was obtained from the Australian national representative survey of disability in 2015, including 21 demographic, health and social characteristics and healthcare delay information in general practice, specialist and hospital services. The Self-Organising Map Network was used to identify hidden risk patterns associated with healthcare delay and investigate potential predictors of class memberships by means of simple visualisations.

RESULTS

While experiencing disability avoidance showed across different healthcare delays, labour force appeared not to have any influence. Approximately 30% delayed their healthcare to general practice services; these were young, single females in great need of psychosocial support and aids for personal activities. Those who delayed their healthcare commonly presented a lack of social connections and a need for contact with family or friends not living in the same household.

CONCLUSIONS

The pattern evidence provides an avenue to further develop integrated care strategies with better targeting of people with ADIDs, considering social participation challenges facing them, to improve health service utilisation.

摘要

背景

患有情感障碍相关残疾（ADID）的人通常存在复杂需求，这会导致他们延迟寻求医疗保健。为了在现实中更好地利用医疗服务，发现这些人隐藏的模式对于改善医疗保健服务至关重要。

方法

2015 年，我们从澳大利亚全国残疾代表性调查中获得了一个横断面研究人群（2501 名患有 ADID 的成年人），其中包括 21 项人口统计学、健康和社会特征以及普通实践、专科和医院服务中的医疗保健延迟信息。我们使用自组织映射网络来识别与医疗保健延迟相关的隐藏风险模式，并通过简单的可视化来调查潜在的类别成员预测因素。