Shaoying Dylan Goh, Tze Yang Tan, Crystal Min Siu Chua, Yuka Asada, Karen E Peters, Yi Feng Lai
{"title":"Hospital-at-home care in Singapore: distilling policy and implementation strategies essential to support scale-up using Policy Labs.","authors":"Shaoying Dylan Goh, Tze Yang Tan, Crystal Min Siu Chua, Yuka Asada, Karen E Peters, Yi Feng Lai","doi":"10.1097/XEB.0000000000000504","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Mobile Inpatient Care at Home (MIC@Home) initiative was implemented as a potential promising solution to address challenges brought about by rising demand for hospital services due to an aging population. The initiative leveraged technology and remote care delivery.</p><p><strong>Aim: </strong>This study explored key strategies for the effective expansion of MIC@Home in Singapore.</p><p><strong>Methods: </strong>This study examined local qualitative insights reported in the literature and explored the implementation and policy implications through the Policy Labs method. Thirty-two clinicians, administrators, and policymakers participated in the study. Data were collected through facilitated discussions in three Policy Lab sessions. The findings were analyzed and key strategies were identified to prioritize plans for implementation improvements and policy redesign.</p><p><strong>Results: </strong>The priorities that would aid in upscaling MIC@Home in Singapore included (1) policy redesign: optimize manpower, shift stakeholder mindsets, enhance third-party providers, and integrate mainstream financing options to support effective implementation; (2) guidelines and clinical operations: emphasize innovative IT solutions for triage, quality-focused training programs, operational efficiency through standardized protocols, nationalized logistics, and collaboration across MIC@Home clusters; (3) leadership and governance: advocate a clear mandate to establish professional societies for accreditation and create a balanced governance structure that addresses MIC@Home's unique complexities.</p><p><strong>Conclusion: </strong>This study offers valuable insights into the challenges and strategies affecting the MIC@Home model's scalability, highlighting critical areas for implementation and policy redesign. By addressing the identified challenges through targeted strategies, Singapore can champion the MIC@Home model as a viable and sustainable alternative to traditional inpatient care.</p><p><strong>Spanish abstract: </strong>http://links.lww.com/IJEBH/A340.</p>","PeriodicalId":48473,"journal":{"name":"Jbi Evidence Implementation","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jbi Evidence Implementation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/XEB.0000000000000504","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The Mobile Inpatient Care at Home (MIC@Home) initiative was implemented as a potential promising solution to address challenges brought about by rising demand for hospital services due to an aging population. The initiative leveraged technology and remote care delivery.
Aim: This study explored key strategies for the effective expansion of MIC@Home in Singapore.
Methods: This study examined local qualitative insights reported in the literature and explored the implementation and policy implications through the Policy Labs method. Thirty-two clinicians, administrators, and policymakers participated in the study. Data were collected through facilitated discussions in three Policy Lab sessions. The findings were analyzed and key strategies were identified to prioritize plans for implementation improvements and policy redesign.
Results: The priorities that would aid in upscaling MIC@Home in Singapore included (1) policy redesign: optimize manpower, shift stakeholder mindsets, enhance third-party providers, and integrate mainstream financing options to support effective implementation; (2) guidelines and clinical operations: emphasize innovative IT solutions for triage, quality-focused training programs, operational efficiency through standardized protocols, nationalized logistics, and collaboration across MIC@Home clusters; (3) leadership and governance: advocate a clear mandate to establish professional societies for accreditation and create a balanced governance structure that addresses MIC@Home's unique complexities.
Conclusion: This study offers valuable insights into the challenges and strategies affecting the MIC@Home model's scalability, highlighting critical areas for implementation and policy redesign. By addressing the identified challenges through targeted strategies, Singapore can champion the MIC@Home model as a viable and sustainable alternative to traditional inpatient care.