Nelly Angah MHA, MPH, PMP (is Population Health Consultant, Department of Population Health and Clinical Integration, Yale New Haven Health (YNHH).), Bridget Meedzan MPH (is Population Health Analyst, Department of Population Health and Clinical Integration, YNHH.), Natacha Pruzinsky MSHI (is Population Health Specialist, Department of Population Health and Clinical Integration, YNHH.), Andrew O'Connell MPH (is Manager, Population Health Programs, Department of Population Health and Clinical Integration, YNHH.), Louis Hart MD (is Assistant Professor of Pediatrics (Hospital Medicine), Yale School of Medicine, and Medical Director, Office of Health Equity and Community Impact, YNHH.), Darcey Cobbs-Lomax MBA, MPH (is Executive Director, Office of Health Equity and Community Impact, YNHH.), Polly Vanderwoude MHSA, FACHE (is Executive Director, Department of Population Health and Clinical Integration, YNHH. Please address correspondence to Nelly Angah)
{"title":"利用技术和工作流程优化健康相关社会需求筛查:一个大型医疗系统的改进项目","authors":"Nelly Angah MHA, MPH, PMP (is Population Health Consultant, Department of Population Health and Clinical Integration, Yale New Haven Health (YNHH).), Bridget Meedzan MPH (is Population Health Analyst, Department of Population Health and Clinical Integration, YNHH.), Natacha Pruzinsky MSHI (is Population Health Specialist, Department of Population Health and Clinical Integration, YNHH.), Andrew O'Connell MPH (is Manager, Population Health Programs, Department of Population Health and Clinical Integration, YNHH.), Louis Hart MD (is Assistant Professor of Pediatrics (Hospital Medicine), Yale School of Medicine, and Medical Director, Office of Health Equity and Community Impact, YNHH.), Darcey Cobbs-Lomax MBA, MPH (is Executive Director, Office of Health Equity and Community Impact, YNHH.), Polly Vanderwoude MHSA, FACHE (is Executive Director, Department of Population Health and Clinical Integration, YNHH. Please address correspondence to Nelly Angah)","doi":"10.1016/j.jcjq.2023.11.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The collection of health-related social needs (HRSN) data at one large health system has historically been inconsistent. This project was aimed to increase annual HRSN screening rates by standardizing data collection in the electronic health record (EHR) through optimized clinical workflows.</p></div><div><h3>Methods</h3><p>The authors designed a standard screening questionnaire in alignment with the Accountable Health Communities model, and they conducted interviews with eleven US-based health systems and one medical center on best practices for ambulatory HRSN screening and interventions, which identified five possible methods to administer the questionnaire. After testing, the authors opted to send questionnaires to patients through the patient portal three days prior to an ambulatory visit. For inpatients, in-person interviews were implemented. Staff implementing the updated processes included registered nurses, social workers, preventive health coordinators, and community health workers.</p></div><div><h3>Results</h3><p>The annual screening rate for all active ambulatory patients increased from 0.4% to 15.9% (<em>p</em> < 0.001), and 10.7% of all patients had at least one health-related social need. The annual screening rate for inpatients was estimated to be zero at baseline and increased by 66 percentage points (<em>p</em> < 0.001). The most prevalent health-related social need in both settings was financial resource strain, followed closely by food insecurity.</p></div><div><h3>Conclusion</h3><p>Well-designed interventions and technology support were effective in achieving improved screening and data collection. Leadership support, building interventions within preexisting workflows, and ensuring standard data capture in the EHR were key factors leading to successful process improvement.</p></div>","PeriodicalId":14835,"journal":{"name":"Joint Commission journal on quality and patient safety","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1553725023002702/pdfft?md5=0f69bdbdc0bfa4cc34604b4db25fa3a6&pid=1-s2.0-S1553725023002702-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Leveraging Technology and Workflow Optimization for Health-Related Social Needs Screening: An Improvement Project at a Large Health System\",\"authors\":\"Nelly Angah MHA, MPH, PMP (is Population Health Consultant, Department of Population Health and Clinical Integration, Yale New Haven Health (YNHH).), Bridget Meedzan MPH (is Population Health Analyst, Department of Population Health and Clinical Integration, YNHH.), Natacha Pruzinsky MSHI (is Population Health Specialist, Department of Population Health and Clinical Integration, YNHH.), Andrew O'Connell MPH (is Manager, Population Health Programs, Department of Population Health and Clinical Integration, YNHH.), Louis Hart MD (is Assistant Professor of Pediatrics (Hospital Medicine), Yale School of Medicine, and Medical Director, Office of Health Equity and Community Impact, YNHH.), Darcey Cobbs-Lomax MBA, MPH (is Executive Director, Office of Health Equity and Community Impact, YNHH.), Polly Vanderwoude MHSA, FACHE (is Executive Director, Department of Population Health and Clinical Integration, YNHH. Please address correspondence to Nelly Angah)\",\"doi\":\"10.1016/j.jcjq.2023.11.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The collection of health-related social needs (HRSN) data at one large health system has historically been inconsistent. This project was aimed to increase annual HRSN screening rates by standardizing data collection in the electronic health record (EHR) through optimized clinical workflows.</p></div><div><h3>Methods</h3><p>The authors designed a standard screening questionnaire in alignment with the Accountable Health Communities model, and they conducted interviews with eleven US-based health systems and one medical center on best practices for ambulatory HRSN screening and interventions, which identified five possible methods to administer the questionnaire. After testing, the authors opted to send questionnaires to patients through the patient portal three days prior to an ambulatory visit. For inpatients, in-person interviews were implemented. Staff implementing the updated processes included registered nurses, social workers, preventive health coordinators, and community health workers.</p></div><div><h3>Results</h3><p>The annual screening rate for all active ambulatory patients increased from 0.4% to 15.9% (<em>p</em> < 0.001), and 10.7% of all patients had at least one health-related social need. The annual screening rate for inpatients was estimated to be zero at baseline and increased by 66 percentage points (<em>p</em> < 0.001). The most prevalent health-related social need in both settings was financial resource strain, followed closely by food insecurity.</p></div><div><h3>Conclusion</h3><p>Well-designed interventions and technology support were effective in achieving improved screening and data collection. Leadership support, building interventions within preexisting workflows, and ensuring standard data capture in the EHR were key factors leading to successful process improvement.</p></div>\",\"PeriodicalId\":14835,\"journal\":{\"name\":\"Joint Commission journal on quality and patient safety\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1553725023002702/pdfft?md5=0f69bdbdc0bfa4cc34604b4db25fa3a6&pid=1-s2.0-S1553725023002702-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Joint Commission journal on quality and patient safety\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1553725023002702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Joint Commission journal on quality and patient safety","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1553725023002702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Leveraging Technology and Workflow Optimization for Health-Related Social Needs Screening: An Improvement Project at a Large Health System
Background
The collection of health-related social needs (HRSN) data at one large health system has historically been inconsistent. This project was aimed to increase annual HRSN screening rates by standardizing data collection in the electronic health record (EHR) through optimized clinical workflows.
Methods
The authors designed a standard screening questionnaire in alignment with the Accountable Health Communities model, and they conducted interviews with eleven US-based health systems and one medical center on best practices for ambulatory HRSN screening and interventions, which identified five possible methods to administer the questionnaire. After testing, the authors opted to send questionnaires to patients through the patient portal three days prior to an ambulatory visit. For inpatients, in-person interviews were implemented. Staff implementing the updated processes included registered nurses, social workers, preventive health coordinators, and community health workers.
Results
The annual screening rate for all active ambulatory patients increased from 0.4% to 15.9% (p < 0.001), and 10.7% of all patients had at least one health-related social need. The annual screening rate for inpatients was estimated to be zero at baseline and increased by 66 percentage points (p < 0.001). The most prevalent health-related social need in both settings was financial resource strain, followed closely by food insecurity.
Conclusion
Well-designed interventions and technology support were effective in achieving improved screening and data collection. Leadership support, building interventions within preexisting workflows, and ensuring standard data capture in the EHR were key factors leading to successful process improvement.