Healthcare-The Journal of Delivery Science and Innovation最新文献

{"title":"","authors":"Rick Mathis","doi":"10.1016/j.hjdsi.2022.100659","DOIUrl":"10.1016/j.hjdsi.2022.100659","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100659"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49487514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Putting the design in health system redesign: Doing the jobs-to-be-done","authors":"Jubi Y.L. Lin , Joy S. Lee , Joshua M. Liao","doi":"10.1016/j.hjdsi.2022.100652","DOIUrl":"10.1016/j.hjdsi.2022.100652","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100652"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10600386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visit characteristics associated with discharge from specialty care: Results from the National Ambulatory Medical Care Survey","authors":"James C. Bohnhoff , Tyler Babinski , Utibe R Essien , Kristin N. Ray","doi":"10.1016/j.hjdsi.2022.100656","DOIUrl":"10.1016/j.hjdsi.2022.100656","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100656"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10606984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of internet access and inability to access health care during the COVID-19 pandemic 2020–2021","authors":"Caroline L. Behr , Michael L. Barnett","doi":"10.1016/j.hjdsi.2022.100655","DOIUrl":"10.1016/j.hjdsi.2022.100655","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100655"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10608793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The case for unlearning health systems","authors":"Joseph H. Joo , Joshua A. Kim , Joshua M. Liao","doi":"10.1016/j.hjdsi.2022.100661","DOIUrl":"10.1016/j.hjdsi.2022.100661","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100661"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9162234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Care teams misunderstand what most upsets patients about their care","authors":"Alana L. Conner ,&nbsp;Beatrice V. Podtschaske ,&nbsp;Mary Carol Mazza ,&nbsp;Dani L. Zionts ,&nbsp;Elizabeth J. Malcolm ,&nbsp;Carey C. Thomson ,&nbsp;Sara J. Singer ,&nbsp;Arnold Milstein","doi":"10.1016/j.hjdsi.2022.100657","DOIUrl":"10.1016/j.hjdsi.2022.100657","url":null,"abstract":"<div><h3>Background</h3><p>Negative healthcare delivery experiences can cause lasting patient distress and medical service misuse and disuse. Yet no multi-site study has examined whether care-team members understand what most upsets patients about their care.</p></div><div><h3>Methods</h3><p>We interviewed 373 patients and 360 care-team members in the medical oncology and ambulatory surgery clinics of 11 major healthcare organizations across six U.S. census regions. Patients deeply upset by a service-related experience (<em>n =</em> 99, 27%) answered questions about that experience, while care-team members (n = 360) answered questions about their beliefs regarding what most upsets patients. We performed content analysis to identify memorably upsetting care (MUC) themes; a generalized estimating equation to explore whether MUC theme mention frequencies varied by participant role (care-team member vs. patient), specialty (oncology vs. surgery), facility (academic vs. community), and gender; and logistic regressions to investigate the effects of participant characteristics on individual themes.</p></div><div><h3>Results</h3><p>MUC themes included three <em>systems issues</em> (<em>inefficiencies, access barriers,</em> and <em>facilities problems)</em> and four <em>care-team issues</em> (<em>miscommunication, neglect, coldness,</em> and <em>incompetence</em>). MUC theme frequencies differed by role (all Ps &lt; 0.001), with more patients mentioning care-team coldness (OR = 0.37; 95% CI, 0.23-0.60) and incompetence (OR = 0.17; 95% CI, 0.09-0.31); but more care-team members mentioning system inefficiencies (OR = 7.01; 95% CI, 4.31–11.40) and access barriers (OR, 5.48; 95% CI, 2.81–10.69).</p></div><div><h3>Conclusions</h3><p>When considering which service experiences most upset patients, care-team members underestimate the impact of their own behaviors and overestimate the impact of systems issues.</p></div><div><h3>Implications</h3><p>Healthcare systems should reconsider how they collect, interpret, disseminate, and respond to patient service reports.</p></div><div><h3>Level of evidence</h3><p>Level III.</p></div>","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100657"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221307642200046X/pdfft?md5=0f7aa976f167ed7e05d0cf83f34a2434&pid=1-s2.0-S221307642200046X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40393562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The art of asking “what if” in life science: Exploring Flagship Pioneering's model of innovation with Senior Partner Michael Rosenblatt","authors":"Nathan Mallipeddi,&nbsp;Kaushik P. Venkatesh","doi":"10.1016/j.hjdsi.2022.100658","DOIUrl":"10.1016/j.hjdsi.2022.100658","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100658"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10600856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quality of race and ethnicity data in Medicare","authors":"Rachael B. Zuckerman,&nbsp;Wafa W. Tarazi ,&nbsp;Lok Wong Samson,&nbsp;Victoria Aysola,&nbsp;Steven H. Sheingold,&nbsp;Nancy De Lew,&nbsp;Benjamin D. Sommers","doi":"10.1016/j.hjdsi.2022.100662","DOIUrl":"10.1016/j.hjdsi.2022.100662","url":null,"abstract":"","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100662"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10607533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of inter-organizational implementation success: A mixed-methods evaluation of Veteran Directed Care","authors":"Nina R. Sperber ,&nbsp;Edward J. Miech ,&nbsp;Alecia Slade Clary ,&nbsp;Kathleen Perry ,&nbsp;Merle Edwards-Orr ,&nbsp;James L. Rudolph ,&nbsp;Courtney Harold Van Houtven ,&nbsp;Kali S. Thomas","doi":"10.1016/j.hjdsi.2022.100653","DOIUrl":"10.1016/j.hjdsi.2022.100653","url":null,"abstract":"<div><h3>Background</h3><p><span>Veteran Directed Care (VDC) aims to keep Veterans at risk for nursing home placement in their communities. VA medical centers (VAMCs) purchase VDC from third-party organizational providers who then partner with them during implementation. Experiences with VDC implementation have varied. Objectives: We sought to identify conditions differentiating partnerships with higher enrollment (implementation success). Methods: We conducted a case-based study with: qualitative data on implementation determinants two and eight months after program start, directed content analysis to assign numerical scores (−2 strong barrier to +2 strong facilitator), and </span>mathematical modeling using Coincidence Analysis (CNA) to identify key determinants of implementation success. Cases consisted of VAMCs and partnering non-VAMC organizations who started VDC during 2017 or 2018. The Consolidated Framework for Implementation Research (CFIR) guided analysis. Results: Eleven individual organizations within five partnerships constituted our sample. Two CFIR determinants- Networks &amp; Communication and External Change Agent-uniquely and consistently identified implementation success. At an inter-organizational partnership level, Networks &amp; Communications and External Change Agent +2 (i.e., present as strong facilitators) were both necessary and sufficient. At a within-organization level, Networks &amp; Communication +2 was necessary but not sufficient for the non-VAMC providers, whereas External Change Agent +2 was necessary and sufficient for VAMCs. Conclusion: Networks &amp; Communication and External Change Agent played difference-making roles in inter-organizational implementation success, which differ by type of organization and level of analysis. Implications: This multi-level approach identified crucial difference-making conditions for inter-organizational implementation success when putting a program into practice requires partnerships across multiple organizations.</p></div>","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100653"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9800859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of a Medication Reconciliation Risk Stratification Tool Integrated within an electronic health record: A Case Series of Three Academic Medical Centers","authors":"Eugene S. Chu ,&nbsp;Robert El-Kareh ,&nbsp;Anthony Biondo ,&nbsp;John Chang ,&nbsp;Seth Hartman ,&nbsp;Trina Huynh ,&nbsp;Kathryn Medders ,&nbsp;Andrea Nguyen ,&nbsp;Nancy Yam ,&nbsp;Loutfi Succari ,&nbsp;Kyle Koenig ,&nbsp;Mark V. Williams ,&nbsp;Jeffrey Schnipper","doi":"10.1016/j.hjdsi.2022.100654","DOIUrl":"10.1016/j.hjdsi.2022.100654","url":null,"abstract":"<div><p>Medication errors during transitions of care are common, dangerous and costly. Medication reconciliation can help mitigate this risk, but it is a complex and time-consuming process when performed properly. Increasingly, pharmacy staff have been engaged to help improve medication reconciliation. However, many organizations lack the resources and staff required to perform accurate medication histories and other reconciliation tasks on all patients. We describe how three academic medical centers implemented risk scoring systems to allocate limited pharmacy resources to patients with the highest likelihood of medication reconciliation related errors. We found that (1) development of a tailored medication risk scoring system and integration into the electronic health record is feasible, (2) workflow around the risk calculator is critical to the success of the implementation, and (3) the complex coordination of professional disciplines during the medication reconciliation process remains an ongoing challenge at all three institutions.</p></div>","PeriodicalId":29963,"journal":{"name":"Healthcare-The Journal of Delivery Science and Innovation","volume":"10 4","pages":"Article 100654"},"PeriodicalIF":2.5,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40372821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}