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Jakovljevic M, Timofeyev Y, Zhuravleva T. The Impact of Pandemic-Driven Care Redesign on Hospital Efficiency. Risk Manag Healthc Policy 2024; 17:1477-1491. [PMID: 38855044 PMCID: PMC11162215 DOI: 10.2147/rmhp.s465167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 05/26/2024] [Indexed: 06/11/2024] Open
Abstract
Purpose This study aims to identify medical care transformations during the COVID-19 pandemic and to assess the economic efficiency of these care transformations. Methods A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviewing and Meta-Analysis (PRISMA) guidelines. The databases used in the search protocol included PubMed, RSCI, and Google Scholar. Results Ten eligible studies in English and one publication in Russian were identified. In general, the following changes in organization of health care processes since 2020 are observed: hospital at home, telemedicine (physician-to-patient), and the adoption of new information communication technologies within physician-to-physician and physician-to-nurse communication. Earlier trends, such as (a) wider use of electronic devices, (b) adoption of Lean techniques, (c) the incorporation of patient and other customer experience feedback, and (d) the implementation of clinical decision support systems and automation of workflow, tend to be preserved. Conclusion The most common changes in hospital care organization and the respective impacts of workflow changes (ie, workflow interventions, redesign, and transformations) on the efficiency of hospital care were summarized and avenues for future research and policy implications were discussed. The pandemic demonstrated a need for building more resilient and adaptive healthcare systems, enhancing crisis preparedness along with rapid and effective responses.
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Affiliation(s)
- Mihajlo Jakovljevic
- UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy
- Shaanxi University of Technology, Hanzhong, People’s Republic of China
- Department of Global Health Economics and Policy, University of Kragujevac, Kragujevac, Serbia
| | | | - Tatyana Zhuravleva
- International Laboratory for Experimental and Behavioural Economics, HSE University, Moscow, Russia
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Korn AR, Walsh-Bailey C, Correa-Mendez M, DelNero P, Pilar M, Sandler B, Brownson RC, Emmons KM, Oh AY. Social determinants of health and US cancer screening interventions: A systematic review. CA Cancer J Clin 2023; 73:461-479. [PMID: 37329257 PMCID: PMC10529377 DOI: 10.3322/caac.21801] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/05/2023] [Accepted: 05/08/2023] [Indexed: 06/19/2023] Open
Abstract
There remains a need to synthesize linkages between social determinants of health (SDOH) and cancer screening to reduce persistent inequities contributing to the US cancer burden. The authors conducted a systematic review of US-based breast, cervical, colorectal, and lung cancer screening intervention studies to summarize how SDOH have been considered in interventions and relationships between SDOH and screening. Five databases were searched for peer-reviewed research articles published in English between 2010 and 2021. The Covidence software platform was used to screen articles and extract data using a standardized template. Data items included study and intervention characteristics, SDOH intervention components and measures, and screening outcomes. The findings were summarized using descriptive statistics and narratives. The review included 144 studies among diverse population groups. SDOH interventions increased screening rates overall by a median of 8.4 percentage points (interquartile interval, 1.8-18.8 percentage points). The objective of most interventions was to increase community demand (90.3%) and access (84.0%) to screening. SDOH interventions related to health care access and quality were most prevalent (227 unique intervention components). Other SDOH, including educational, social/community, environmental, and economic factors, were less common (90, 52, 21, and zero intervention components, respectively). Studies that included analyses of health policy, access to care, and lower costs yielded the largest proportions of favorable associations with screening outcomes. SDOH were predominantly measured at the individual level. This review describes how SDOH have been considered in the design and evaluation of cancer screening interventions and effect sizes for SDOH interventions. Findings may guide future intervention and implementation research aiming to reduce US screening inequities.
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Affiliation(s)
- Ariella R. Korn
- Cancer Prevention Fellowship Program, Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
- Behavioral and Policy Sciences Department, RAND Corporation, Boston, MA
| | - Callie Walsh-Bailey
- Prevention Research Center, Brown School at Washington University in St. Louis, St. Louis, MO
| | - Margarita Correa-Mendez
- Cancer Prevention Fellowship Program, Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
| | - Peter DelNero
- College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Meagan Pilar
- Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO
| | - Brittney Sandler
- Bernard Becker Medical Library, Washington University School of Medicine, St. Louis, MO
| | - Ross C. Brownson
- Prevention Research Center, Brown School at Washington University in St. Louis, St. Louis, MO
- Department of Surgery, Division of Public Health Sciences, and Alvin J. Siteman Cancer Center, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO
| | - Karen M. Emmons
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - April Y. Oh
- Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD
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Cohen DJ, Wyte-Lake T, Bonsu P, Albert SL, Kwok L, Paul MM, Nguyen AM, Berry CA, Shelley DR. Organizational Factors Associated with Guideline Concordance of Chronic Disease Care and Management Practices. J Am Board Fam Med 2022:jabfm.2022.AP.210502. [PMID: 36113991 PMCID: PMC10515112 DOI: 10.3122/jabfm.2022.ap.210502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/08/2022] [Accepted: 06/27/2022] [Indexed: 03/21/2023] Open
Abstract
BACKGROUND Guidelines for managing and preventing chronic disease tend to be well-known. Yet, translation of this evidence into practice is inconsistent. We identify a combination of factors that are connected to guideline concordant delivery of evidence-informed chronic disease care in primary care. METHODS Cross-sectional observational study; purposively selected 22 practices to vary on size, ownership and geographic location, using National Quality Forum metrics to ensure practices had a ≥ 70% quality level for at least 2 of the following: aspirin use in high-risk individuals, blood pressure control, cholesterol and diabetes management. Interviewed 2 professionals (eg, medical director, practice manager) per practice (n = 44) to understand staffing and clinical operations. Analyzed data using an iterative and inductive approach. RESULTS Community Health Centers (CHCs) employed interdisciplinary clinical teams that included a variety of professionals as compared with hospital-health systems (HHS) and clinician-owned practices. Despite this difference, practice members consistently reported a number of functions that may be connected to clinical chronic care quality, including: having engaged leadership; a culture of teamwork; engaging in team-based care; using data to inform quality improvement; empaneling patients; and managing the care of patient panels, with a focus on continuity and comprehensiveness, as well as having a commitment to the community. CONCLUSIONS There are mutable organizational attributes connected-guideline concordant chronic disease care in primary care. Research and policy reform are needed to promote and study how to achieve widespread adoption of these functions and organizational attributes that may be central to achieving equity and improving chronic disease prevention.
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Affiliation(s)
- Deborah J Cohen
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS).
| | - Tamar Wyte-Lake
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Pamela Bonsu
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Stephanie L Albert
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Lorraine Kwok
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Margaret M Paul
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Ann M Nguyen
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Carolyn A Berry
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
| | - Donna R Shelley
- From Department of Family Medicine, Oregon Health & Science University, Portland, OR (DJC, TWL); Veterans Emergency Management Evaluation Center, US Department of Veterans Affairs, North Hills, CA (TWL); Department of Population Health, New York University Grossman School of Medicine, New York, NY (SLA, LK, MMP, CAB); Center for State Health Policy, Rutgers University, New Brunswick, NJ (AMN); School of Global Public Health, New York University, New York, NY (DRS)
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