对社区卫生中心社会风险筛查和转诊过程的实施支持。

Rachel Gold, Jorge Kaufmann, Erika K Cottrell, Arwen Bunce, Christina R Sheppler, Megan Hoopes, Molly Krancari, Laura M Gottlieb, Meg Bowen, Julianne Bava, Ned Mossman, Nadia Yosuf, Miguel Marino
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引用次数: 2

摘要

需要证据证明如何有效地支持卫生保健提供者筛查社会风险(健康的不利社会决定因素)并提供旨在解决已确定的社会风险的相关转诊。在资源不足的护理环境中,这种需求最大。作者测试了实施支持干预(通过五步实施过程为研究诊所提供6个月的技术援助和指导)是否改善了社区卫生中心(CHCs)对社会风险活动的采用。31个CHC诊所被随机分为6个楔形。在2018年3月至2021年12月的45个月研究期间,收集了干预前6个月及以上、干预期6个月及干预后6个月及以上的数据。作者计算了临床水平的每月社会风险筛查率,这些结果是在面对面接触时输入的,以及与社会风险相关的转诊率。二次分析测量了对糖尿病相关结果的影响。通过比较临床表现来评估干预的影响,这些临床表现是基于他们在干预前、干预期和干预后是否接受了干预。在评估结果时,作者指出,有五家诊所因各种与带宽相关的原因退出了这项研究。在剩下的26个项目中,共有19个项目完全或部分完成了所有5个实施步骤,7个项目至少完全或部分完成了前3个步骤。干预期社会风险筛查比干预前高2.45倍(95%可信区间[CI], 1.32-4.39);这种影响在干预后没有持续(率比,2.16;95% ci, 0.64-7.27)。干预期间和干预后的社会风险转诊率无显著差异。干预与糖尿病患者的血压控制和干预后较低的糖尿病生物标志物筛查率有关。所有结果都必须考虑到Covid-19大流行在试验中途开始,这一般影响了护理服务,特别是CHCs的患者。最后,研究结果表明,适应性实施支持在暂时增加社会风险筛查方面是有效的。干预措施可能没有充分解决持续实施的障碍,或者6个月的时间不足以巩固这一变化。资源不足的诊所可能难以在没有足够资源的情况下长期参与支助活动,即使需要更长时间的支助。由于政策开始要求记录社会风险活动,如果没有足够的财政和指导/技术支持,安全网诊所可能无法满足这些要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation Support for a Social Risk Screening and Referral Process in Community Health Centers.

Evidence is needed about how to effectively support health care providers in implementing screening for social risks (adverse social determinants of health) and providing related referrals meant to address identified social risks. This need is greatest in underresourced care settings. The authors tested whether an implementation support intervention (6 months of technical assistance and coaching study clinics through a five-step implementation process) improved adoption of social risk activities in community health centers (CHCs). Thirty-one CHC clinics were block-randomized to six wedges that occurred sequentially. Over the 45-month study period from March 2018 to December 2021, data were collected for 6 or more months preintervention, the 6-month intervention period, and 6 or more months postintervention. The authors calculated clinic-level monthly rates of social risk screening results that were entered at in-person encounters and rates of social risk-related referrals. Secondary analyses measured impacts on diabetes-related outcomes. Intervention impact was assessed by comparing clinic performance based on whether they had versus had not yet received the intervention in the preintervention period compared with the intervention and postintervention periods. In assessing the results, the authors note that five clinics withdrew from the study for various bandwidth-related reasons. Of the remaining 26, a total of 19 fully or partially completed all 5 implementation steps, and 7 fully or partially completed at least the first 3 steps. Social risk screening was 2.45 times (95% confidence interval [CI], 1.32-4.39) higher during the intervention period compared with the preintervention period; this impact was not sustained postintervention (rate ratio, 2.16; 95% CI, 0.64-7.27). No significant difference was seen in social risk referral rates during the intervention or postintervention periods. The intervention was associated with greater blood pressure control among patients with diabetes and lower rates of diabetes biomarker screening postintervention. All results must be interpreted considering that the Covid-19 pandemic began midway through the trial, which affected care delivery generally and patients at CHCs particularly. Finally, the study results show that adaptive implementation support was effective at temporarily increasing social risk screening. It is possible that the intervention did not adequately address barriers to sustained implementation or that 6 months was not long enough to cement this change. Underresourced clinics may struggle to participate in support activities over longer periods without adequate resources, even if lengthier support is needed. As policies start requiring documentation of social risk activities, safety-net clinics may be unable to meet these requirements without adequate financial and coaching/technical support.

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