Suppr超能文献

在利比里亚最后一英里处测量社区卫生工作者的知识:临床病例评估的可行性和结果。

Measuring Knowledge of Community Health Workers at the Last Mile in Liberia: Feasibility and Results of Clinical Vignette Assessments.

机构信息

Last Mile Health, Boston, MA, USA.

University of Texas Southwestern, Division of Combined Medicine and Pediatrics, Dallas, TX, USA.

出版信息

Glob Health Sci Pract. 2021 Mar 15;9(Suppl 1):S111-S121. doi: 10.9745/GHSP-D-20-00380.

Abstract

INTRODUCTION

Community health workers (CHWs) can provide lifesaving treatment for children in remote areas, but high-quality care is essential for effective delivery. Measuring the quality of community-based care in remote areas is logistically challenging. Clinical vignettes have been validated in facility settings as a proxy for competency. We assessed feasibility and effectiveness of clinical vignettes to measure CHW knowledge of integrated community case management (iCCM) in Liberia's national CHW program.

METHODS

We developed 3 vignettes to measure knowledge of iCCM illnesses (malaria, diarrhea, and pneumonia) in 4 main areas: assessment, diagnosis, treatment, and caregiver instructions. Trained nurse supervisors administered the vignettes to CHWs in 3 counties in rural Liberia as part of routine program supervision between January and May 2019, collected data on CHW knowledge using a standardized checklist tool, and provided feedback and coaching to CHWs in real time after vignette administration. Proportions of vignettes correctly managed, including illness classification, treatment, and referral where necessary, were calculated. We assessed feasibility, defined as the ability of clinical supervisors to administer the vignettes integrated into their routine activities once per year for each CHW, and effectiveness, defined as the ability of the vignettes to measure the primary outcomes of CHW knowledge of diagnosis and treatment including referrals.

RESULTS

We were able to integrate this assessment into routine supervision, facilitate real-time coaching, and collect data on iCCM knowledge among 155 CHWs through delivery of 465 vignettes. Diagnosis including severity was correct in 65%-82% of vignettes. CHWs correctly identified danger signs in 44%-50% of vignettes, correctly proposed referral to the facility in 63% of vignettes including danger signs, and chose correct lifesaving treatment in 23%-65% of vignettes. Both diagnosis and lifesaving treatment rates were highest for malaria and lowest for severe pneumonia.

CONCLUSION

Administration of vignettes to assess knowledge of correct iCCM case management was feasible and effective in producing results in this setting. Proportions of correct diagnosis and lifesaving treatment varied, with high proportions for uncomplicated disease, but lower for more severe cases, with accurate recognition of danger signs posing a challenge. Future work includes validation of vignettes for use with CHWs through direct observation, strengthening supportive supervision, and program interventions to address identified knowledge gaps.

摘要

简介

社区卫生工作者(CHW)可为偏远地区的儿童提供救生治疗,但高质量的护理对于有效实施至关重要。衡量偏远地区基于社区的护理质量在后勤上具有挑战性。临床病例已在医疗机构中作为能力的替代指标得到验证。我们评估了临床病例在利比里亚国家 CHW 计划中衡量 CHW 综合社区病例管理(iCCM)知识的可行性和有效性。

方法

我们开发了 3 个病例来衡量 iCCM 疾病(疟疾、腹泻和肺炎)的知识,包括 4 个主要领域:评估、诊断、治疗和护理人员指导。经过培训的护士监督员在 2019 年 1 月至 5 月期间作为常规计划监督的一部分,在利比里亚农村的 3 个县向 CHW 管理病例,使用标准化检查表工具收集 CHW 知识数据,并在病例管理后实时为 CHW 提供反馈和辅导。计算了正确管理病例的比例,包括疾病分类、治疗和必要时转诊。我们评估了可行性,定义为临床监督员每年为每位 CHW 整合病例进行一次评估的能力,以及有效性,定义为病例测量 CHW 诊断和治疗知识(包括转诊)的主要结果的能力。

结果

我们能够将该评估整合到常规监督中,促进实时辅导,并通过提供 465 个病例,在 155 名 CHW 中收集 iCCM 知识数据。在 65%-82%的病例中,诊断包括严重程度是正确的。在 44%-50%的病例中,CHW 正确识别了危险信号,在包括危险信号的 63%的病例中,正确提议转诊到医疗机构,在 23%-65%的病例中选择了正确的救生治疗。疟疾的诊断和救生治疗率最高,严重肺炎的最低。

结论

在这种情况下,通过病例评估来评估正确的 iCCM 病例管理知识是可行和有效的,可产生结果。正确诊断和救生治疗的比例各不相同,复杂疾病的比例较高,但更严重的病例比例较低,准确识别危险信号是一个挑战。未来的工作包括通过直接观察、加强支持性监督以及针对已确定的知识差距的计划干预措施,对病例进行验证,以用于 CHW。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d87/7971375/ba099fdd1978/GH-GHSP200079F001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验