Suppr超能文献

调查英格兰心理健康服务利用的变化及其对 COVID-19 大流行期间健康结果和幸福感的影响:一项健康数据链接研究方案。

Investigating changes in mental health services utilisation in England and their impact on health outcomes and wellbeing during the COVID-19 pandemic: Protocol for a health data-linkage study.

机构信息

Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.

NIHR Applied Research Collaboration North East and North Cumbria, St Nicholas' Hospital, Gosforth, Newcastle Upon Tyne, United Kingdom.

出版信息

PLoS One. 2023 Apr 6;18(4):e0283986. doi: 10.1371/journal.pone.0283986. eCollection 2023.

Abstract

INTRODUCTION

Linking routinely collected health care system data records for the same individual across different services and over time has enormous potential for the NHS and its patients. The aims of this data linkage study are to quantify the changes to mental health services utilisation in responses to the COVID-19 pandemic and determine whether these changes were associated with health-related outcomes and wellbeing among people living in the most deprived communities in North East and North Cumbria, England.

METHODS AND ANALYSIS

We will assemble a retrospective cohort of people having referred or self-referred to NHS-funded mental health services or Improving Access to Psychological Therapies (IAPT) services between 23rd March 2019 and 22nd March 2020 in the most deprived areas in England. We will link together data from retrospective routinely collected healthcare data including local general practitioner (GP) practice data, Hospital Episode Statistics admitted patient care outpatients, and A&E, Community Services Data Set, Mental Health Services Data Set, and Improving Access to Psychological Therapies Data Set. We will use these linked patient-level data to 1) describe the characteristics of the cohort prior to the lockdown; 2) investigate changes to mental health services utilised between multiple time periods of the COVID-19 lockdown including out of lockdown; 3) explore the relationship between these changes and health outcomes/wellbeing and factors that confound and mediate this relationship among this cohort.

STRENGTHS AND LIMITATIONS OF THIS STUDY

This study comprises a deprived population-based cohort of people having referred or self-referred to NHS-funded secondary mental health services or Improving Access to Psychological Therapies (IAPT) services over an extended period of the lockdown in England (2019-2022).This study will utilise a new longitudinal data resource that will link together detailed data from a cohort of individual participants and retrospective administrative data relating to the use of primary, secondary, and community care services.The study period covers pre-lockdown, different lockdown and post-lockdown, and out of lockdown periods up to March 2022.Routinely collected administrative data contain limited contextual information and represent an underestimate of total health outcomes for these individuals.Routinely collected datasets can often been incomplete or contain missing data, which can make it difficult to accurately analyse the data and draw meaningful conclusions.Intervention and treatment for mental health conditions are not wholly captured across these data sources and may impact health outcomes.

摘要

简介

将相同个体在不同服务和不同时间的常规收集的医疗保健系统数据记录进行链接,对英国国民保健制度及其患者具有巨大的潜力。本数据链接研究的目的是量化 COVID-19 大流行期间心理健康服务利用的变化,并确定这些变化是否与英格兰东北部和北坎布里亚最贫困社区居民的健康相关结果和幸福感有关。

方法和分析

我们将组建一个回顾性队列,纳入 2019 年 3 月 23 日至 2020 年 3 月 22 日期间在英格兰最贫困地区向 NHS 资助的心理健康服务或改善获得心理治疗服务(IAPT)转诊或自我转诊的人群。我们将从回顾性常规收集的医疗保健数据中链接在一起,包括当地全科医生(GP)实践数据、医院入院统计数据、门诊患者护理、急症室、社区服务数据集、心理健康服务数据集和改善获得心理治疗服务数据集。我们将使用这些链接的患者级数据:1)描述锁定前队列的特征;2)调查 COVID-19 锁定期间多个时间段内心理健康服务的利用变化,包括锁定后;3)探索这些变化与健康结果/幸福感之间的关系,并确定混杂和调节该队列中这种关系的因素。

这项研究的优势和局限性

本研究包括一个基于贫困人群的队列,这些人在英格兰封锁期间(2019-2022 年)向 NHS 资助的二级心理健康服务或改善获得心理治疗服务(IAPT)转诊或自我转诊。本研究将利用一个新的纵向数据资源,该资源将链接在一起个体参与者队列的详细数据和与初级、二级和社区护理服务使用相关的回顾性行政数据。研究期间涵盖了锁定前、不同锁定和锁定后以及截至 2022 年 3 月的锁定外时期。常规收集的行政数据包含有限的背景信息,代表这些个体的总健康结果的低估。常规收集的数据集通常不完整或包含缺失数据,这使得准确分析数据和得出有意义的结论变得困难。这些数据源无法完全捕捉到心理健康状况的干预和治疗,这可能会影响健康结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a754/10079107/86df0a8f96ee/pone.0283986.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验