Applying an equity lens to social prescribing.

Koser Khan, Stephanie Tierney, Gwilym Owen
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Abstract

Background: Social prescribing is often described as an intervention that can help reduce health inequalities yet there is little evidence exploring this. This study aimed to assess the feasibility of accessing and analysing social prescribing (SP) service user data to demonstrate the impact of SP on health inequalities.

Methods: The sample size consisted of records for 276 individuals in Site 1 and 1644 in Site 2. Descriptive analyses were performed to assess the characteristics of people accessing SP, the consistency of data collected and the missingness across both sites.

Results: Both sites collected basic demographic data (age gender, ethnicity and deprivation). However, data collection was inconsistent; issues included poor recording of ethnicity in Site 2, and for both sites, referral source data and health and well-being outcome measures were missing. There was limited data on the wider determinants of health. These data gaps mean that impacts on health inequalities could not be fully explored.

Conclusions: It is essential that SP data collection includes information on user demographics and the wider determinants of health in line with PROGRESS Plus factors. Considering equity around who is accessing SP, how they access it and the outcomes is essential to evidencing how SP affects health inequalities and ensuring equitable service delivery.

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将公平视角应用于社会处方。
背景:社会处方经常被描述为一种有助于减少健康不平等的干预措施,但这方面的证据却很少。本研究旨在评估获取和分析社会处方(SP)服务用户数据的可行性,以证明社会处方对健康不平等的影响:方法:样本量包括站点 1 中 276 人和站点 2 中 1644 人的记录。我们进行了描述性分析,以评估两地接受社会医疗服务者的特征、所收集数据的一致性以及遗漏情况:两个地点都收集了基本的人口统计学数据(年龄、性别、种族和贫困程度)。然而,数据收集并不一致;问题包括第二站点的种族记录不全,而且两个站点都缺少转介来源数据和健康与福利结果测量数据。关于更广泛的健康决定因素的数据也很有限。这些数据缺口意味着无法充分探讨对健康不平等的影响:SP 数据收集必须包括与 PROGRESS Plus 因素一致的用户人口统计信息和更广泛的健康决定因素。要证明 SP 如何影响健康不平等并确保提供公平的服务,就必须考虑到 SP 的使用对象、使用方式和结果的公平性。
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