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Navarro M, Han J, Smith M, Casale P, Kini V. Validity of an Administrative Claims-Based Measure of Low-Value Carotid Revascularization. J Am Heart Assoc 2024; 13:e033022. [PMID: 38350869 PMCID: PMC11010107 DOI: 10.1161/jaha.123.033022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/16/2024] [Indexed: 02/15/2024]
Affiliation(s)
| | | | | | - Paul Casale
- New York Quality CareNew YorkNY
- Division of CardiologyWeill Cornell MedicineNew YorkNY
| | - Vinay Kini
- Division of CardiologyWeill Cornell MedicineNew YorkNY
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2
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Scheefhals ZTM, de Vries EF, Struijs JN, Numans ME, van Exel J. Stakeholder perspectives on payment reform in maternity care in the Netherlands: A Q-methodology study. Soc Sci Med 2024; 340:116413. [PMID: 38000174 DOI: 10.1016/j.socscimed.2023.116413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/29/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023]
Abstract
Based on theoretical notions, there is consensus that alternative payment models to the common fee-for-service model have the potential to improve healthcare quality through increased collaboration and reduced under- and overuse. This is particularly relevant for maternity care in the Netherlands because perinatal mortality rates are relatively high in comparison to other Western countries. Therefore, an experiment with bundled payments for maternity care was initiated in 2017. However, the uptake of this alternative payment model remains low, as also seen in other countries, and fee-for-service models prevail. A deeper understanding of stakeholders' perspectives on payment reform in maternity care is necessary to inform policy makers about the obstacles to implementing alternative payment models and potential ways forward. We conducted a Q-methodology study to explore perspectives of stakeholders (postpartum care managers, midwives, gynecologists, managers, health insurers) in maternity care in the Netherlands on payment reform. Participants were asked to rank a set of statements relevant to payment reform in maternity care and explain their ranking during an interview. Factor analysis was used to identify patterns in the rankings of statements. We identified three distinct perspectives on payment reform in maternity care. One general perspective, broadly supported within the sector, focusing mainly on outcomes, and two complementary perspectives, one focusing more on equality and one focusing more on collaboration. This study shows there is consensus among stakeholders in maternity care in the Netherlands that payment reform is required. However, stakeholders have different views on the purpose and desired design of the payment reform and set different conditions. Working towards payment reform in co-creation with all involved parties may improve the general attitude towards payment reform, may enhance the level of trust among stakeholders, and may contribute to a higher uptake in practice.
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Affiliation(s)
- Zoë T M Scheefhals
- Department of National Health and Healthcare, Center for Public Health, Healthcare and Society, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Public Health and Primary Care, Health Campus The Hague, Leiden University Medical Center, The Hague, the Netherlands.
| | - Eline F de Vries
- Department of Health Economics and Healthcare, Center for Public Health, Healthcare and Society, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
| | - Jeroen N Struijs
- Department of National Health and Healthcare, Center for Public Health, Healthcare and Society, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Public Health and Primary Care, Health Campus The Hague, Leiden University Medical Center, The Hague, the Netherlands.
| | - Mattijs E Numans
- Department of Public Health and Primary Care, Health Campus The Hague, Leiden University Medical Center, The Hague, the Netherlands.
| | - Job van Exel
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, the Netherlands; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University Rotterdam, Rotterdam, the Netherlands.
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3
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Hofmann B. Managing the moral expansion of medicine. BMC Med Ethics 2022; 23:97. [PMID: 36138414 PMCID: PMC9502962 DOI: 10.1186/s12910-022-00836-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/14/2022] [Indexed: 11/24/2022] Open
Abstract
Science and technology have vastly expanded the realm of medicine. The numbers of and knowledge about diseases has greatly increased, and we can help more people in many more ways than ever before. At the same time, the extensive expansion has also augmented harms, professional responsibility, and ethical concerns. While these challenges have been studied from a wide range of perspectives, the problems prevail. This article adds value to previous analyses by identifying how the moral imperative of medicine has expanded in three ways: (1) from targeting experienced phenomena, such as pain and suffering, to non-experienced phenomena (paraclinical signs and indicators); (2) from addressing present pain to potential future suffering; and (3) from reducing negative wellbeing (pain and suffering) to promoting positive wellbeing. These expansions create and aggravate problems in medicine: medicalization, overdiagnosis, overtreatment, risk aversion, stigmatization, and healthism. Moreover, they threaten to infringe ethical principles, to distract attention and responsibility from other competent agents and institutions, to enhance the power and responsibility of professionals, and to change the professional-beneficiary relationship. In order to find ways to manage the moral expansion of medicine, four traditional ways of setting limits are analyzed and dismissed. However, basic asymmetries in ethics suggest that it is more justified to address people’s negative wellbeing (pain and suffering) than their positive wellbeing. Moreover, differences in epistemology, indicate that it is less uncertain to address present pain and suffering than future wellbeing and happiness. Based on these insights the article concludes that the moral imperative of medicine has a gradient from pain and suffering to wellbeing and happiness, and from the present to the future. Hence, in general present pain and suffering have normative priority over future positive wellbeing.
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Affiliation(s)
- Bjørn Hofmann
- Institute for the Health Sciences, The Norwegian University of Science and Technology (NTNU), PO Box 191, 2802, Gjøvik, Norway. .,Centre of Medical Ethics, University of Oslo, PO Box 1130, N-0318, Oslo, Norway.
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4
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Augustsson H, Casales Morici B, Hasson H, von Thiele Schwarz U, Schalling SK, Ingvarsson S, Wijk H, Roczniewska M, Nilsen P. National governance of de-implementation of low-value care: a qualitative study in Sweden. Health Res Policy Syst 2022; 20:92. [PMID: 36050688 PMCID: PMC9438133 DOI: 10.1186/s12961-022-00895-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 08/15/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The de-implementation of low-value care (LVC) is important to improving patient and population health, minimizing patient harm and reducing resource waste. However, there is limited knowledge about how the de-implementation of LVC is governed and what challenges might be involved. In this study, we aimed to (1) identify key stakeholders' activities in relation to de-implementing LVC in Sweden at the national governance level and (2) identify challenges involved in the national governance of the de-implementation of LVC. METHODS We used a purposeful sampling strategy to identify stakeholders in Sweden having a potential role in governing the de-implementation of LVC at a national level. Twelve informants from nine stakeholder agencies/organizations were recruited using snowball sampling. Semi-structured interviews were conducted, transcribed and analysed using inductive thematic analysis. RESULTS Four potential activities for governing the de-implementation of LVC at a national level were identified: recommendations, health technology assessment, control over pharmaceutical products and a national system for knowledge management. Challenges involved included various vested interests that result in the maintenance of LVC and a low overall priority of working with the de-implementation of LVC compared with the implementation of new evidence. Ambiguous evidence made it difficult to clearly determine whether a practice was LVC. Unclear roles, where none of the stakeholders perceived that they had a formal mandate to govern the de-implementation of LVC, further contributed to the challenges involved in governing that de-implementation. CONCLUSIONS Various activities were performed to govern the de-implementation of LVC at a national level in Sweden; however, these were limited and had a lower priority relative to the implementation of new methods. Challenges involved relate to unfavourable change incentives, ambiguous evidence, and unclear roles to govern the de-implementation of LVC. Addressing these challenges could make the national-level governance of de-implementation more systematic and thereby help create favourable conditions for reducing LVC in healthcare.
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Affiliation(s)
- Hanna Augustsson
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden.
- Unit for Implementation and Evaluation, Center for Epidemiology and Community Medicine (CES), Stockholm, Sweden.
| | - Belén Casales Morici
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
- Department of Business Studies, Uppsala University, Uppsala, Sweden
| | - Henna Hasson
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
- Unit for Implementation and Evaluation, Center for Epidemiology and Community Medicine (CES), Stockholm, Sweden
| | - Ulrica von Thiele Schwarz
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
- School of Health, Care and Social Welfare, Mälardalen University, Västerås, Sweden
| | - Sara Korlén Schalling
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
| | - Sara Ingvarsson
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
| | - Hanna Wijk
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
| | - Marta Roczniewska
- Procome Research Group, Department of Learning, Informatics, Management and Ethics, Medical Management Centre, Karolinska Institutet, Stockholm, Sweden
| | - Per Nilsen
- Division of Public Health, Department of Health, Medical and Caring Sciences, Linköping University, Linköping, Sweden
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An Analysis of 5 Years of Randomized Trials in Gastroenterology and Hepatology Reveals 52 Medical Reversals. Dig Dis Sci 2022; 67:2011-2018. [PMID: 34463882 DOI: 10.1007/s10620-021-07199-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 07/26/2021] [Indexed: 12/09/2022]
Abstract
BACKGROUND AND AIMS One manifestation of low-value medical practice is the medical reversal, a practice in widespread use that, once subjected to a randomized controlled trial (RCT), is found to be no better-or worse-than a prior established standard of care. We aimed to determine the prevalence of medical reversals in gastroenterology (GI) journals and characterize these reversals. METHODS We searched the American Journal of Gastroenterology, Clinical Gastroenterology and Hepatology, Gastroenterology, Gut, Hepatology, and the Journal of Hepatology, reviewing studies published in 2015-2019. We identified RCTs that tested an established clinical practice and produced negative results, considered tentative reversals. Any systematic review or meta-analysis that included the article was categorized as confirming the reversal, refuting the reversal, or providing insufficient data. RESULTS During the 5-year period, we identified 5,898 original articles, of which 212 tested an established practice and 52 were categorized as unrefuted medical reversals (25% of articles testing standard of care). Of the reversals, 21 (40%) tested procedures and devices, 15 (29%) tested medications, and 8 (15%) tested vitamins/supplements/diet. Twenty-three (44%) considered the alimentary tract, 12 (23%) considered the liver, pancreas, or biliary tract, and 17 (33%) considered endoscopy. Thirty-eight (73%) were funded exclusively by non-industry sources. CONCLUSION This review reveals a total of 52 reversals across all subfields of GI and medical, procedural, screening, and diagnostic interventions, occurring in 25% of randomized trials testing an established practice. More research is needed to determine the optimal way to engage stakeholders and remove reversed practices from medical care.
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Moore L, Bérubé M, Tardif PA, Lauzier F, Turgeon A, Cameron P, Champion H, Yanchar N, Lecky F, Kortbeek J, Evans D, Mercier É, Archambault P, Lamontagne F, Gabbe B, Paquet J, Razek T, Stelfox HT. Quality Indicators Targeting Low-Value Clinical Practices in Trauma Care. JAMA Surg 2022; 157:507-514. [PMID: 35476055 PMCID: PMC9047751 DOI: 10.1001/jamasurg.2022.0812] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance The use of quality indicators has been shown to improve injury care processes and outcomes. However, trauma quality indicators proposed to date exclusively target the underuse of recommended practices. Initiatives such as Choosing Wisely publish lists of practices to be questioned, but few apply to trauma care, and most have not successfully been translated to quality indicators. Objective To develop a set of evidence and patient-informed, consensus-based quality indicators targeting reductions in low-value clinical practices in acute, in-hospital trauma care. Design, Setting, and Participants This 2-round Research and Development/University of California at Los Angeles (RAND/UCLA) consensus study, conducted from April 20 to June 9, 2021, comprised an online questionnaire and a virtual workshop led by 2 independent moderators. Two panels of international experts from Canada, Australia, the US, and the UK, and local stakeholders from Québec, Canada, represented key clinical expertise involved in trauma care and included 3 patient partners. Main Outcomes and Measures Panelists were asked to rate 50 practices on a 7-point Likert scale according to 4 quality indicator criteria: importance, supporting evidence, actionability, and measurability. Results Of 49 eligible experts approached, 46 (94%; 18 experts [39%] aged ≥50 years; 37 men [80%]) completed at least 1 round and 36 (73%) completed both rounds. Eleven quality indicators were selected overall, 2 more were selected by the international panel and a further 3 by the local stakeholder panel. Selected indicators targeted low-value clinical practices in the following aspects of trauma care: (1) initial diagnostic imaging (head, cervical spine, ankle, and pelvis), (2) repeated diagnostic imaging (posttransfer computed tomography [CT] and repeated head CT), (3) consultation (neurosurgical and spine), (4) surgery (penetrating neck injury), (5) blood product administration, (6) medication (antibiotic prophylaxis and late seizure prophylaxis), (7) trauma service admission (blunt abdominal trauma), (8) intensive care unit admission (mild complicated traumatic brain injury), and (9) routine blood work (minor orthopedic surgery). Conclusions and Relevance In this consensus study, a set of consensus-based quality indicators were developed that were informed by the best available evidence and patient priorities, targeting low-value trauma care. Selected indicators represented a trauma-specific list of practices, the use of which should be questioned. Trauma quality programs in high-income countries may use these study results as a basis to select context-specific quality indicators to measure and reduce low-value care.
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Affiliation(s)
- Lynne Moore
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada
| | - Mélanie Bérubé
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada.,Faculty of Nursing, Université Laval, Québec City, Québec, Canada
| | - Pier-Alexandre Tardif
- Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada
| | - François Lauzier
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada.,Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Alexis Turgeon
- Department of Social and Preventative Medicine, Université Laval, Québec City, Québec, Canada.,Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada.,Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Université Laval, Québec City, Québec, Canada
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Howard Champion
- Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Natalie Yanchar
- Department of Surgery, University of Calgary, Calgary, Canada
| | - Fiona Lecky
- School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.,Trauma Audit and Research Network, Salford, United Kingdom
| | - John Kortbeek
- Department of Surgery, University of Calgary, Calgary, Canada
| | - David Evans
- Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada
| | - Éric Mercier
- Population Health and Optimal Health Practices Research Unit, Trauma-Emergency-Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec City, Québec, Canada
| | - Patrick Archambault
- Population Health and Optimal Health Practices Research Unit, Transfert des Connaissances et Évaluation des Technologies et Modes d'Intervention en Santé, Centre de Recherche du CHU de Québec - Université Laval (Hôpital St François d'Assise), Université Laval, Québec City, Québec, Canada
| | - François Lamontagne
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jérôme Paquet
- Division of Neurosurgery, Department of Surgery, Université Laval, Québec, Québec, Canada
| | - Tarek Razek
- Department of Trauma Surgery, Montreal General Hospital, McGill University Health Center, Montreal, Canada
| | - Henry Thomas Stelfox
- Departments of Critical Care Medicine, Medicine and Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
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Kini V, Breathett K, Groeneveld PW, Ho PM, Nallamothu BK, Peterson PN, Rush P, Wang TY, Zeitler EP, Borden WB. Strategies to Reduce Low-Value Cardiovascular Care: A Scientific Statement From the American Heart Association. Circ Cardiovasc Qual Outcomes 2022; 15:e000105. [PMID: 35189687 PMCID: PMC9909614 DOI: 10.1161/hcq.0000000000000105] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Low-value health care services that provide little or no benefit to patients are common, potentially harmful, and costly. Nearly half of the patients in the United States will receive at least 1 low-value test or procedure annually, creating risk of avoidable complications from subsequent cascades of care and excess costs to patients and society. Reducing low-value care is of particular importance to cardiovascular health given the high prevalence and costs of cardiovascular disease in the United States. This scientific statement describes the current scope and impact of low-value cardiovascular care; reviews existing literature on patient-, clinician-, health system-, payer-, and policy-level interventions to reduce low-value care; proposes solutions to achieve meaningful and equitable reductions in low-value care; and suggests areas for future research priorities.
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Radomski TR, Decker A, Khodyakov D, Thorpe CT, Hanlon JT, Roberts MS, Fine MJ, Gellad WF. Development of a Metric to Detect and Decrease Low-Value Prescribing in Older Adults. JAMA Netw Open 2022; 5:e2148599. [PMID: 35166780 PMCID: PMC8848205 DOI: 10.1001/jamanetworkopen.2021.48599] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
IMPORTANCE Metrics that detect low-value care in common forms of health care data, such as administrative claims or electronic health records, primarily focus on tests and procedures but not on medications, representing a major gap in the ability to systematically measure low-value prescribing. OBJECTIVE To develop a scalable and broadly applicable metric that contains a set of quality indicators (EVOLV-Rx) for use in health care data to detect and reduce low-value prescribing among older adults and that is informed by diverse stakeholders' perspectives. DESIGN, SETTING, AND PARTICIPANTS This qualitative study used an online modified-Delphi method to convene an expert panel of 15 physicians and pharmacists. This panel, comprising clinicians, health system leaders, and researchers, was tasked with rating and discussing candidate low-value prescribing practices that were derived from medication safety criteria; peer-reviewed literature; and qualitative studies of patient, caregiver, and physician perspectives. The RAND ExpertLens online platform was used to conduct the activities of the panel. The panelists were engaged for 3 rounds between January 1 and March 31, 2021. MAIN OUTCOMES AND MEASURES Panelists used a 9-point Likert scale to rate and then discuss the scientific validity and clinical usefulness of the criteria to detect low-value prescribing practices. Candidate low-value prescribing practices were rated as follows: 1 to 3, indicating low validity or usefulness; 3.5 to 6, uncertain validity or usefulness; and 6.5 to 9, high validity or usefulness. Agreement among panelists and the degree of scientific validity and clinical usefulness were assessed using the RAND/UCLA (University of California, Los Angeles) Appropriateness Method. RESULTS Of the 527 low-value prescribing recommendations identified, 27 discrete candidate low-value prescribing practices were considered for inclusion in EVOLV-Rx. After round 1, 18 candidate practices were rated by the panel as having high scientific validity and clinical usefulness (scores of ≥6.5). After round 2 panel deliberations, the criteria to detect 19 candidate practices were revised. After round 3, 18 candidate practices met the inclusion criteria, receiving final median scores of 6.5 or higher for both scientific validity and clinical usefulness. Of those practices that were not included in the final version of EVOLV-Rx, 3 received high scientific validity (scores ≥6.5) but uncertain clinical usefulness (scores <6.5) ratings, whereas 6 received uncertain scientific validity rating (scores <6.5). CONCLUSIONS AND RELEVANCE This study culminated in the development of EVOLV-Rx and involved a panel of experts who identified the 18 most salient low-value prescribing practices in the care of older adults. Applying EVOLV-Rx may enhance the detection of low-value prescribing practices, reduce polypharmacy, and enable older adults to receive high-value care across the full spectrum of health services.
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Affiliation(s)
- Thomas R. Radomski
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion (CHERP), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Alison Decker
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion (CHERP), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Dmitry Khodyakov
- RAND Corporation, Pardee RAND Graduate School, Santa Monica, California
| | - Carolyn T. Thorpe
- Center for Health Equity Research and Promotion (CHERP), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Division of Pharmaceutical Outcomes and Policy, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill
| | - Joseph T. Hanlon
- Center for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion (CHERP), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
- Division of Geriatric Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Mark S. Roberts
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | - Michael J. Fine
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion (CHERP), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Walid F. Gellad
- Division of General Internal Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for Pharmaceutical Policy and Prescribing, Health Policy Institute, University of Pittsburgh, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion (CHERP), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
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9
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Soltana K, Moore L, Bouderba S, Lauzier F, Clément J, Mercier É, Krouchev R, Tardif PA, Belcaid A, Stelfox T, Lamontagne F, Archambault P, Turgeon A. Adherence to Clinical Practice Guideline Recommendations on Low-Value Injury Care: A Multicenter Retrospective Cohort Study. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2021; 24:1728-1736. [PMID: 34838270 DOI: 10.1016/j.jval.2021.06.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/08/2021] [Accepted: 06/14/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVES Low-value clinical practices have been identified as one of the most important areas of excess healthcare spending. Nevertheless, there is a knowledge gap on the scale of this problem in injury care. We aimed to identify clinical practice guideline (CPG) recommendations pertaining to low-value injury care, estimate how frequently they are used in practice, and evaluate interhospital variations in their use. METHODS We identified low-value clinical practices from internationally recognized CPGs. We conducted a retrospective cohort study using data from a Canadian trauma system (2014-2019) to calculate frequencies and assess interhospital variations. RESULTS We identified 29 low-value practices. Fourteen could be measured using trauma registry data. The 3 low-value clinical practices with the highest absolute and relative frequencies were computed tomography (CT) in adults with minor head injury (n = 5591, 24%), cervical spine CT (n = 2742, 31%), and whole-body CT in minor or single-system trauma (n = 530, 32%). We observed high interhospital variation for decompressive craniectomy in diffuse traumatic brain injury. Frequencies and interhospital variations were low for magnetic resonance imaging, intracranial pressure monitoring, inferior vena cava filter use, and surgical management of blunt abdominal injuries. CONCLUSIONS We observed evidence of poor adherence to CPG recommendations on low-value CT imaging and high practice variation for decompressive craniectomy. Results suggest that adherence to recommendations for the 10 other low-value practices is high. These data can be used to advance the research agenda on low-value injury care and inform the development of interventions targeting reductions in healthcare overuse in this population.
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Affiliation(s)
- Kahina Soltana
- Canada Research Chair in Critical Care Neurology and Trauma, CHU de Québec - Laval University, Québec City, QC, Canada; Cochrane Canada Francophone, CHU de Québec - Laval University, Québec City, QC, Canada; CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada
| | - Lynne Moore
- CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada; Department of Social and Preventive Medicine, Faculty of Medicine, Laval University, Québec City, QC, Canada.
| | - Samy Bouderba
- CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada
| | - François Lauzier
- Canada Research Chair in Critical Care Neurology and Trauma, CHU de Québec - Laval University, Québec City, QC, Canada; CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Division of Critical Care, Department of Medicine and Anesthesiology and Research Center, CHU de Québec - Laval University, Québec City, QC, Canada
| | - Julien Clément
- Institut national d'excellence en santé et en services sociaux (INESSS), Québec, QC, Canada; Department of Surgery, Université Laval, Québec, QC, Canada
| | - Éric Mercier
- CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Laval University, Québec City, QC, Canada
| | | | - Pier-Alexandre Tardif
- CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada
| | - Amina Belcaid
- CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada; Institut national d'excellence en santé et en services sociaux (INESSS), Québec, QC, Canada
| | - Thomas Stelfox
- Department of Critical Care Medicine - Calgary Zone, University of Calgary and Alberta Health Services, University of Calgary, Calgary, AB, Canada
| | - François Lamontagne
- Internal Medicine Department, Department of Medicine, Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Patrick Archambault
- Department of Family Medicine and Emergency Medicine, Division of Critical Care, Department of Anesthesia, CISSS Chaudière-Appalaches (Secteur Alphonse-Desjardins), Sainte-Marie, QC, Canada
| | - Alexis Turgeon
- Canada Research Chair in Critical Care Neurology and Trauma, CHU de Québec - Laval University, Québec City, QC, Canada; Cochrane Canada Francophone, CHU de Québec - Laval University, Québec City, QC, Canada; CHU de Québec Research Center, Hôpital de l'Enfant-Jésus, CHU de Québec - Laval University, Québec City, QC, Canada; Population Health and Optimal Health Practice Research Unit, Trauma - Emergency - Critical Care Medicine, CHU de Québec Research Center, Laval University, Québec City, QC, Canada; Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, Université Laval, Québec City, QC, on behalf of the Canadian Traumatic Brain Research Consortium
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10
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de Oliveira Costa J, Pearson SA, Elshaug AG, van Gool K, Jorm LR, Falster MO. Rates of Low-Value Service in Australian Public Hospitals and the Association With Patient Insurance Status. JAMA Netw Open 2021; 4:e2138543. [PMID: 34889943 PMCID: PMC8665371 DOI: 10.1001/jamanetworkopen.2021.38543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Low-value services have limited or no benefit to patients. Rates of low-value service in public hospitals may vary by patient insurance status, given that there may be different financial incentives for treatment of privately insured patients. OBJECTIVE To assess the variation in rates of 5 low-value services performed in Australian public hospitals according to patient funding status (ie, private or public). DESIGN, SETTING, AND PARTICIPANTS This retrospective cross-sectional study analyzed New South Wales public hospital data from January 2013 to June 2018. Patients included in the sample were over age 18 years and eligible to receive low-value services based on diagnoses and concomitant procedures. Data analysis was conducted from June to December 2020. MAIN OUTCOMES AND MEASURES Hospital-specific rates of low-value knee arthroscopic debridement, vertebroplasty for osteoporotic spinal fractures, hyperbaric oxygen therapy, oophorectomy with hysterectomy, and laparoscopic uterine nerve ablation for chronic pelvic pain were measured. For each measure, rates within each public hospital were compared by patient funding status descriptively and using multilevel models. RESULTS A total of 219 862 inpatients were included in analysis from 58 public hospitals across the 5 measures. A total of 38 365 (22 904 [59.7%] women; 12 448 [32.4%] aged 71-80 years) were eligible for knee arthroscopic debridement for osteoarthritis; 2520 (1924 [76.3%] women; 662 [26.3%] aged 71-80 years), vertebroplasty for osteoporotic spinal fractures; 162 285 (82 046 [50.6%] women; 28 255 [17.4%] aged 61-70 years), hyperbaric oxygen therapy; 15 916 (7126 [44.8%] aged 41-50 years), oophorectomy with hysterectomy; and 776 (327 [42.1%] aged 18-30 years), uterine nerve ablation for chronic pelvic pain. Overall rates of low-value services varied considerably between measures, with the lowest rate for hyperbaric oxygen therapy (0.3 procedures per 1000 inpatients [47 of 158 220 eligible inpatients]) and the highest for vertebroplasty (30.8 procedures per 1000 eligible patients [77 of 2501 eligible inpatients]). There was significant variation in rates between hospitals, with a few outlying hospitals (ie, <10), particularly for knee arthroscopy (range from 1.8 to 21.0 per 1000 eligible patients) and vertebroplasty (range from 13.1 to 70.4 per 1000 eligible patients), with higher numerical rates of low-value services among patients with private insurance than for those without. However, there was no association overall between patient insurance status and low-value services. Overall differences in rates among those with and without private insurance by individual procedure type were not statistically significant. CONCLUSIONS AND RELEVANCE There was significant variation in rates of low-value services in public hospitals. While there was no overall association between private insurance and rate of low-value services, private insurance may be associated with low-value service rates in some hospitals. Further exploration of factors specific to local hospitals and practices are needed to reduce this unnecessary care.
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Affiliation(s)
- Juliana de Oliveira Costa
- Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Kensington, New South Wales, Australia
| | - Sallie-Anne Pearson
- Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Kensington, New South Wales, Australia
| | - Adam G. Elshaug
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kees van Gool
- Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Louisa R. Jorm
- Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Kensington, New South Wales, Australia
| | - Michael O. Falster
- Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Kensington, New South Wales, Australia
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Kim DD, Do LA, Daly AT, Wong JB, Chambers JD, Ollendorf DA, Neumann PJ. An Evidence Review of Low-Value Care Recommendations: Inconsistency and Lack of Economic Evidence Considered. J Gen Intern Med 2021; 36:3448-3455. [PMID: 33620623 PMCID: PMC8606489 DOI: 10.1007/s11606-021-06639-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/11/2020] [Accepted: 01/25/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND Low-value care, typically defined as health services that provide little or no benefit, has potential to cause harm, incur unnecessary costs, and waste limited resources. Although evidence-based guidelines identifying low-value care have increased, the guidelines differ in the type of evidence they cite to support recommendations against its routine use. OBJECTIVE We examined the evidentiary rationale underlying recommendations against low-value interventions. DESIGN We identified 1167 "low-value care" recommendations across five US organizations: the US Preventive Services Task Force (USPSTF), the "Choosing Wisely" Initiative, American College of Physicians (ACP), American College of Cardiology/American Heart Association (ACC/AHA), and American Society of Clinical Oncology (ASCO). For each recommendation, we classified the reported evidentiary rationale into five groups: (1) low economic value; (2) no net clinical benefit; (3) little or no absolute clinical benefit; (4) insufficient evidence; (5) no reason mentioned. We further investigated whether any cited or otherwise available cost-effectiveness evidence was consistent with conventional low economic value benchmarks (e.g., exceeding $100,000 per quality-adjusted life-year). RESULTS Of the identified low-value care recommendations, Choosing Wisely contributed the most (N=582, 50%), followed by ACC/AHA (N=250, 21%). The services deemed "low value" differed substantially across organizations. "No net clinical benefit" (N=428, 37%) and "little or no clinical benefit" (N=296, 25%) were the most commonly reported reasons for classifying an intervention as low value. Consideration of economic value was less frequently reported (N=171, 15%). When relevant cost-effectiveness studies were available, their results were mostly consistent with low-value care recommendations. CONCLUSIONS Our study found that evidentiary rationales for low-value care vary substantially, with most recommendations relying on clinical evidence. Broadening the evidence base to incorporate cost-effectiveness evidence can help refine the definition of "low-value" care to reflect whether an intervention's costs are worth the benefits. Developing a consensus grading structure on the strength and evidentiary rationale may help improve de-implementation efforts for low-value care.
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Affiliation(s)
- David D Kim
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA.
- Department of Medicine, Tufts University School of Medicine, Boston, MA, USA.
| | - Lauren A Do
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA
| | - Allan T Daly
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA
| | - John B Wong
- Department of Medicine, Tufts University School of Medicine, Boston, MA, USA
- Division of Clinical Decision Making, Tufts Medical Center, Boston, MA, USA
| | - James D Chambers
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA
- Department of Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Daniel A Ollendorf
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA
- Department of Medicine, Tufts University School of Medicine, Boston, MA, USA
| | - Peter J Neumann
- Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA
- Department of Medicine, Tufts University School of Medicine, Boston, MA, USA
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Ospina NS, Salloum RG, Maraka S, Brito JP. De-implementing low-value care in endocrinology. Endocrine 2021; 73:292-300. [PMID: 33977312 PMCID: PMC8476071 DOI: 10.1007/s12020-021-02732-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 04/15/2021] [Indexed: 01/18/2023]
Abstract
Low-value care exposes patients to ineffective, costly, and potentially harmful care. In endocrinology, low-value care practices are common in the care of patients with highly prevalent conditions. There is an urgent need to move past the identification of these practices to an active process of de-implementation. However, clinicians, researchers, and other stakeholders might lack familiarity with the frameworks and processes that can help guide successful de-implementation. To address this gap and support the de-implementation of low-value care, we provide a summary of low-value care practices in endocrinology and a primer on the fundamentals of de-implementation science. Our goal is to increase awareness of low-value care within endocrinology and suggest a path forward for addressing low-value care using principles of de-implementation science.
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Affiliation(s)
- Naykky Singh Ospina
- Division of Endocrinology, Department of Medicine, University of Florida, 1600 SW Archer Road, Room H2, Gainesville, FL, 32606, USA.
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Medicine, Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Ramzi G Salloum
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2004 Mowry Road, Room 2243, Gainesville, FL, 32610, USA
| | - Spyridoula Maraka
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Medicine, Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Division of Endocrinology and Metabolism, Department of Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham St, #587, Little Rock, AR, 72205, USA
- Central Arkansas Veterans Healthcare System, 4300W 7th St, #4E-132, Little Rock, AR, 72205, USA
| | - Juan P Brito
- Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Medicine, Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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Chalmers K, Gopinath V, Brownlee S, Saini V, Elshaug AG. Adverse Events and Hospital-Acquired Conditions Associated With Potential Low-Value Care in Medicare Beneficiaries. JAMA HEALTH FORUM 2021; 2:e211719. [PMID: 35977201 PMCID: PMC8796970 DOI: 10.1001/jamahealthforum.2021.1719] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 05/29/2021] [Indexed: 12/19/2022] Open
Abstract
Question What is the prevalence and cost of hospital-acquired conditions (HACs) and patient safety events (PSIs) associated with procedures that may be low value? Findings In this retrospective claims analysis of a cohort of Medicare fee-for-service beneficiaries, there were 231 HACs and 1764 PSIs in 197 755 claims for 7 inpatient procedures from 2016 to 2018. Meaning Patients with flagged, potential low-value procedures were harmed while in hospital, resulting in an extended length of stay and additional costs. Importance There has been insufficient research on the patient harms and costs associated with potential low-value procedures in the US Medicare population. Objective To report the prevalence of adverse events associated with potential low-value procedures and the additional hospital length of stay (LOS) and costs. Design, Setting, and Participants This is a retrospective cohort study using Medicare fee-for-service claims between January 2016 to December 2018. Participants were aged 65 years or older. Procedures were selected if they had previously published indicators of low-value care, including knee arthroscopy, spinal fusion, vertebroplasty, percutaneous coronary intervention (PCI), carotid endarterectomy, renal stenting, and hysterectomy for benign conditions. Analysis was conducted from July to December, 2020. Main Outcomes and Measures For inpatient procedures, the number and rate of admissions with a hospital-acquired condition (HAC) or patient safety indicator event (PSIs), as well as the unadjusted and adjusted difference in mean LOS and Medicare costs between admissions with and without a HAC/PSI. For outpatient procedures, we report the number of claims where the beneficiary had an unplanned hospital admission within seven days and the number of these admissions with a HAC/PSI. Results There were 573 351 patients included in the study, with 617 264 procedures; the mean (SD) age was 74.2 (6.7) years, with 320 637 women (55.9%), and mostly White patients (520 735; 90.8%). Among the 197 755 claims for the inpatient procedures, 231 had an HAC and 1764 had a PSI. Spinal fusion was associated with the most HACs (123 admissions) and PSIs (1015 admissions). Overall, HACs during a PCI admission were associated with the highest adjusted additional mean LOS (17.5 days; 95% CI, 10.3-23.6), with also the highest adjusted additional mean cost ($22 000; 95% CI, $9100-$32 600). There were 419 509 included outpatient procedures, and 7514 (1.8%) had an unplanned admission within 7 days. A total of 17 HACs and PSIs occurred in these admissions. Conclusions and Relevance In this cross-sectional cohort study of Medicare fee-for-service claims, patients receiving potential low-value care were exposed to risk of unnecessary harm associated with higher cost and LOS.
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Affiliation(s)
- Kelsey Chalmers
- Lown Institute, Needham, Massachusetts
- Menzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Australia, NSW
| | | | | | | | - Adam G. Elshaug
- Menzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Australia, NSW
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Australia, VIC
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14
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Chalmers K, Smith P, Garber J, Gopinath V, Brownlee S, Schwartz AL, Elshaug AG, Saini V. Assessment of Overuse of Medical Tests and Treatments at US Hospitals Using Medicare Claims. JAMA Netw Open 2021; 4:e218075. [PMID: 33904912 PMCID: PMC8080218 DOI: 10.1001/jamanetworkopen.2021.8075] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 03/09/2021] [Indexed: 11/27/2022] Open
Abstract
Importance Overuse of health care services exposes patients to unnecessary risk of harm and costs. Distinguishing patterns of overuse among hospitals requires hospital-level measures across multiple services. Objective To describe characteristics of hospitals associated with overuse of health care services in the US. Design, Setting, and Participants This retrospective cross-sectional analysis used Medicare fee-for-service claims data for beneficiaries older than 65 years from January 1, 2015, to December 31, 2017, with a lookback of 1 year. Inpatient and outpatient services were included, and services offered at specialty and federal hospitals were excluded. Patients were from hospitals with the capacity (based on a claims filter developed for this study) to perform at least 7 of 12 investigated services. Statistical analyses were performed from July 1, 2020, to December 20, 2020. Main Outcomes and Measures Outcomes of interest were a composite overuse score ranging from 0 (no overuse of services) to 1 (relatively high overuse of services) and characteristics of hospitals clustered by overuse rates. Twelve published low-value service algorithms were applied to the data to find overuse rates for each hospital, normalized and aggregated to a composite score and then compared across 6 hospital characteristics using multivariable regression. A k-means cluster analysis was used on normalized overuse rates to identify hospital clusters. Results The primary analysis was performed on 2415 cohort A hospitals (ie, hospitals with capacity for 7 or more services), which included 1 263 592 patients (mean [SD] age, 72.4 [14] years; 678 549 women [53.7%]; 101 017 191 White patients [80.5%]). Head imaging for syncope was the highest-volume low-value service (377 745 patients [29.9%]), followed by coronary artery stenting for stable coronary disease (199 579 [15.8%]). The mean (SD) composite overuse score was 0.40 (0.10) points. Southern hospitals had a higher mean score than midwestern (difference in means: 0.06 [95% CI, 0.05-0.07] points; P < .001), northeast (0.08 [95% CI, 0.06-0.09] points; P < .001), and western hospitals (0.08 [95% CI, 0.07-0.10] points; P < .001). Nonprofit hospitals had a lower adjusted mean score than for-profit hospitals (-0.03 [95% CI, -0.04 to -0.02] points; P < .001). Major teaching hospitals had significantly lower adjusted mean overuse scores vs minor teaching hospitals (difference in means, -0.07 [95% CI, -0.08 to -0.06] points; P < .001) and nonteaching hospitals (-0.10 [95% CI, -0.12 to -0.09] points; P < .001). Of the 4 clusters identified, 1 was characterized by its low counts of overuse in all services except for spinal fusion; the majority of major teaching hospitals were in this cluster (164 of 223 major teaching hospitals [73.5%]). Conclusions and Relevance This cross-sectional study used a novel measurement of hospital-associated overuse; results showed that the highest scores in this Medicare population were associated with nonteaching and for-profit hospitals, particularly in the South.
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Affiliation(s)
- Kelsey Chalmers
- Lown Institute, Brookline, Massachusetts
- Menzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | | | | | | | | | - Aaron L. Schwartz
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, The University of Pennsylvania, Philadelphia
- Division of General Internal Medicine, Perelman School of Medicine, The University of Pennsylvania, Philadelphia
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz Veterans Administration Medical Center, Philadelphia, Pennsylvania
| | - Adam G. Elshaug
- Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- University of Southern California, Brookings Schaeffer Initiative for Health Policy, The Brookings Institution, Washington, DC
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Reis FJJ, Meziat-Filho N, Soares RJ, Correia LCL. Choosing Wisely Brazil: top 5 low-value practices that should be avoided in musculoskeletal physical therapy. Physiotherapy 2021; 112:9-15. [PMID: 34004374 DOI: 10.1016/j.physio.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Indexed: 11/25/2022]
Abstract
BACKGROUND The Choosing Wisely initiative aims to promote discussions among healthcare professionals and patients about low-value, or potentially harmful, health practices. OBJECTIVES To describe the process of development of the Brazilian Choosing Wisely list for musculoskeletal physical therapy. METHODS The Brazilian Choosing Wisely list was developed in accordance with the recommendations of the American Board of Internal Medicine. A three-step procedure was used. First, an expert panel was selected, and a modified Delphi approach was used to obtain a list of evidence-based statements. Second, members of the research team performed content analysis. Third, a national survey was conducted to present selected statements to a sample of physical therapists. Participants were invited to vote considering the level of importance of selected statements for physical therapists and patients. RESULTS The expert panel comprised 17 physical therapists. The median age of the expert panel was 33 [interquartile range (IQR) 29 to 37; range 26 to 60] years and the median length of professional experience was 12 (IQR 10 to 18) years. A list of eight recommendations was presented to a national sample composed of 1127 physical therapists. The median length of professional experience of the national sample was 10 (IQR 5 to 15) years. Based on the number of votes, the five most important recommendations were included in the Brazilian Choosing Wisely list for musculoskeletal physical therapy. Descriptive and frequency analysis were used to report the results. CONCLUSION The Brazilian Choosing Wisely list for musculoskeletal physical therapy provides an opportunity for physical therapists, patients, society and policy makers to collaboratively discuss tests and treatments that are unnecessary or potentially harmful.
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Affiliation(s)
- F J J Reis
- Physical Therapy Department, Instituto Federal do Rio de Janeiro (IFRJ); Postgraduate Progam - Clinical Medicine Department, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil; Pain in Motion Research Group, Department of Physiotherapy, Human Physiology and Anatomy, Faculty of Physical Education & Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium.
| | - N Meziat-Filho
- Postgraduate Program in Rehabilitation Sciences, Centro Universitário Augusto Motta, Rio de Janeiro, Brazil
| | - R J Soares
- Universidade de Taubaté, Taubaté, São Paulo, Brazil
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Internal barriers to efficiency: why disinvestments are so difficult. Identifying and addressing internal barriers to disinvestment of health technologies. HEALTH ECONOMICS, POLICY, AND LAW 2021; 16:473-488. [PMID: 33563362 DOI: 10.1017/s1744133121000037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Although efficiency is a core concept in health economics, its impact on health care practice still is modest. Despite an increased pressure on resource allocation, a widespread use of low-value care is identified. Nonetheless, disinvestments are rare. Why is this so? This is the key question of this paper: why are disinvestments not more prevalent and improving the efficiency of the health care system, given their sound foundation in health economics, their morally important rationale, the significant evidence for a long list of low-value care and available alternatives? Although several external barriers to disinvestments have been identified, this paper looks inside us for mental mechanisms that hamper rational assessment, implementation, use and disinvestment of health technologies. Critically identifying and assessing internal inclinations, such as cognitive biases, affective biases and imperatives, is the first step toward a more rational handling of health technologies. In order to provide accountable and efficient care we must engage in the quest against the figments of our minds; to disinvest in low-value care in order to provide high-value health care.
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Strategies to reduce the use of low-value medical tests in primary care: a systematic review. Br J Gen Pract 2020; 70:e858-e865. [PMID: 33199293 DOI: 10.3399/bjgp20x713693] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/03/2020] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND It is recognised that medical tests are overused in primary care; however, it is unclear how best to reduce their use. AIM To identify which strategies are effective in reducing the use of low-value medical tests in primary care settings. DESIGN AND SETTING Systematic review. METHOD The databases MEDLINE, EMBASE, and Rx for Change were searched (January 1990 to November 2019) for randomised controlled trials (RCTs) that evaluated strategies to reduce the use of low-value medical tests in primary care settings. Two reviewers selected eligible RCTs, extracted data, and assessed their risk of bias. RESULTS Of the 16 RCTs included in the review, 11 reported a statistically significant reduction in the use of low-value medical tests. The median of the differences between the relative reductions in the intervention and control arms was 17% (interquartile range 12% to 24%). Strategies using reminders or audit/feedback showed larger reduction than those without these components (22% versus 14%, and 22% versus 13%, respectively) and patient-targeted strategies showed larger reductions than those not targeted at patients (51% versus 17%). Very few studies investigated the sustainability of the effect, adverse events, cost-effectiveness, or patient-reported outcomes related to reducing the use of low-value tests. CONCLUSION This review indicates that it is possible to reduce the use of low-value medical tests in primary care, especially by using multiple components including reminders, audit/feedback, and patient-targeted interventions. To implement these strategies widely in primary care settings, more research is needed not only to investigate their effectiveness, but also to examine adverse events, cost-effectiveness, and patient-reported outcomes.
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van Dulmen SA, Naaktgeboren CA, Heus P, Verkerk EW, Weenink J, Kool RB, Hooft L. Barriers and facilitators to reduce low-value care: a qualitative evidence synthesis. BMJ Open 2020; 10:e040025. [PMID: 33127636 PMCID: PMC7604848 DOI: 10.1136/bmjopen-2020-040025] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 08/28/2020] [Accepted: 09/30/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To assess barriers and facilitators to de-implementation. DESIGN A qualitative evidence synthesis with a framework analysis. DATA SOURCES Medline, Embase, Cochrane Library and Rx for Change databases until September 2018 were searched. ELIGIBILITY CRITERIA We included studies that primarily focused on identifying factors influencing de-implementation or the continuation of low-value care, and studies describing influencing factors related to the effect of a de-implementation strategy. DATA EXTRACTION AND SYNTHESIS The factors were classified on five levels: individual provider, individual patient, social context, organisational context, economic/political context. RESULTS We identified 333 factors in 81 articles. Factors related to the individual provider (n=131; 74% barriers, 17% facilitators, 9% both barrier/facilitator) were associated with their attitude (n=72; 55%), knowledge/skills (n=43; 33%), behaviour (n=11; 8%) and provider characteristics (n=5; 4%). Individual patient factors (n=58; 72% barriers, 9% facilitators, 19% both barrier/facilitator) were mainly related to knowledge (n=33; 56%) and attitude (n=13; 22%). Factors related to the social context (n=46; 41% barriers, 48% facilitators, 11% both barrier/facilitator) included mainly professional teams (n=23; 50%) and professional development (n=12; 26%). Frequent factors in the organisational context (n=67; 67% barriers, 25% facilitators, 8% both barrier/facilitator) were available resources (n=28; 41%) and organisational structures and work routines (n=24; 36%). Under the category of economic and political context (n=31; 71% barriers, 13% facilitators, 16% both barrier/facilitator), financial incentives were most common (n=27; 87%). CONCLUSIONS This study provides in-depth insight into the factors within the different (sub)categories that are important in reducing low-value care. This can be used to identify barriers and facilitators in low-value care practices or to stimulate development of strategies that need further refinement. We conclude that multifaceted de-implementation strategies are often necessary for effective reduction of low-value care. Situation-specific knowledge of impeding or facilitating factors across all levels is important for designing tailored de-implementation strategies.
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Affiliation(s)
- S A van Dulmen
- Scientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - C A Naaktgeboren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrech, Utrecht University, Utrecht, The Netherlands
| | - Pauline Heus
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Eva W Verkerk
- Scientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - J Weenink
- Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Rudolf Bertijn Kool
- Scientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Lotty Hooft
- Cochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
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19
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Aubert CE, Kerr EA, Maratt JK, Klamerus ML, Hofer TP. Outcome Measures for Interventions to Reduce Inappropriate Chronic Drugs: A Narrative Review. J Am Geriatr Soc 2020; 68:2390-2398. [DOI: 10.1111/jgs.16697] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 06/05/2020] [Accepted: 06/05/2020] [Indexed: 12/17/2022]
Affiliation(s)
- Carole E. Aubert
- Department of General Internal Medicine, Bern University Hospital University of Bern Bern Switzerland
- Institute of Primary Health Care University of Bern Bern Switzerland
- Veterans Affairs Center for Clinical Management Research Ann Arbor Michigan USA
- Institute for Healthcare Policy and Innovation University of Michigan Ann Arbor Michigan USA
| | - Eve A. Kerr
- Veterans Affairs Center for Clinical Management Research Ann Arbor Michigan USA
- Institute for Healthcare Policy and Innovation University of Michigan Ann Arbor Michigan USA
- Department of Internal Medicine University of Michigan Ann Arbor Michigan USA
| | - Jennifer K. Maratt
- Department of Medicine Indiana University School of Medicine Indianapolis Indiana USA
- Richard L. Roudebush Veterans Affairs Medical Center Indianapolis Indiana USA
| | - Mandi L. Klamerus
- Veterans Affairs Center for Clinical Management Research Ann Arbor Michigan USA
| | - Timothy P. Hofer
- Veterans Affairs Center for Clinical Management Research Ann Arbor Michigan USA
- Institute for Healthcare Policy and Innovation University of Michigan Ann Arbor Michigan USA
- Department of Internal Medicine University of Michigan Ann Arbor Michigan USA
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20
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Merlo A, Rodà F, Carnevali D, Principi N, Grimoldi L, Auxilia F, Lombardi F, Maini M, Brianti R, Castaldi S. Appropriateness of admission to rehabilitation: definition of a set of criteria and rules through the application of the Delphi method. Eur J Phys Rehabil Med 2020; 56:537-546. [PMID: 32667147 DOI: 10.23736/s1973-9087.20.06148-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Controlling inappropriateness of care is an essential issue, especially in rehabilitation medicine. In fact, admitting a patient to a rehabilitation hospital or unit is a complex decision also due to the absence of shared and objective admission criteria. AIM The aim was to define clinical admission criteria and rules in rehabilitation medicine. DESIGN Survey based on the application of the Delphi method on a sample of rehabilitation medicine experts. SETTING Administration of electronic online questionnaires concerning appropriateness of admission to intensive rehabilitation. POPULATION Volunteer sample of 53 experts with the following inclusion criteria: being members of the Italian Society of Physical and Rehabilitation Medicine, having practical experience in the research field, agreeing to the confidentiality of the information and being skilled in both rehabilitation and healthcare organization. METHODS A three-round Delphi survey was conducted according to international guidelines. The two initial rounds consisted of an electronic online questionnaire while in the third one a report of the results was provided to the participants. The experts had to score their agreement with each item in the questionnaires, based on either a Likert scale or a dichotomous statement. Consensus between the experts was assessed. RESULTS A total of 53 health professionals completed the Delphi survey. 19 out of 20 Italian regions were represented. The first round consisted of 8 multiple-choice questions. The second round was designed according to the suggestions provided by the panelists in the previous one and consisted of a twelve items questionnaire. At the end of the survey, seven criteria of appropriateness of admission to rehabilitation were identified and five rules defining an appropriate admission to a rehabilitation facility were elaborated. CONCLUSIONS This study represents an attempt to create a worthwhile and reliable tool for a more conscious clinical practice in admission to rehabilitation, based on a set of shared criteria and rules. CLINICAL REHABILITATION IMPACT To increase appropriateness of admission to rehabilitation. Improving appropriateness in healthcare delivery must be a primary goal in order to improve healthcare quality, save money and ensure system sustainability.
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Affiliation(s)
- Andrea Merlo
- LAM-Motion Analysis Laboratory, Department of Neuromotor and Rehabilitation, San Sebastiano di Correggio Hospital, USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy.,Rehabilitation Medicine Service, Department of Rehabilitation Geriatrics, NHS-University Hospital of Parma, Parma, Italy.,Gait and Motion Analysis Laboratory, Sol et Salus Hospital, Rimini, Italy
| | - Francesca Rodà
- Rehabilitation Medicine Service, Department of Rehabilitation Geriatrics, NHS-University Hospital of Parma, Parma, Italy.,Department of Medicine and Surgery, University of Parma, Italy
| | - Davide Carnevali
- Postgraduate School in Public Health, Department of Biomedical Sciences for Health, University of Milan, Milan, Italy -
| | - Niccolò Principi
- Postgraduate School in Public Health, Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Ludovico Grimoldi
- Postgraduate School in Public Health, Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Francesco Auxilia
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.,Maggiore Polyclinic Hospital, IRCCS Ca' Granda Foundation, Milan, Italy
| | - Francesco Lombardi
- Unit of Neurorehabilitation, Department of Neuromotor and Rehabilitation, San Sebastiano di Correggio Hospital, USL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | | | - Rodolfo Brianti
- Rehabilitation Medicine Service, Department of Rehabilitation Geriatrics, NHS-University Hospital of Parma, Parma, Italy
| | - Silvana Castaldi
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy.,Maggiore Polyclinic Hospital, IRCCS Ca' Granda Foundation, Milan, Italy
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21
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Maratt JK, Kerr EA, Klamerus ML, Lohman SE, Froehlich W, Bhatia RS, Saini SD. Measures Used to Assess the Impact of Interventions to Reduce Low-Value Care: a Systematic Review. J Gen Intern Med 2019; 34:1857-1864. [PMID: 31250366 PMCID: PMC6712188 DOI: 10.1007/s11606-019-05069-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 01/02/2019] [Accepted: 04/23/2019] [Indexed: 10/26/2022]
Abstract
IMPORTANCE Studies of interventions to reduce low-value care are increasingly common. However, little is known about how the effects of such interventions are measured. OBJECTIVE To characterize measures used to assess interventions to reduce low-value care. EVIDENCE REVIEW We searched PubMed and Web of Science to identify studies published between 2010 and 2016 that examined the effects of interventions to reduce low-value care. We also searched ClinicalTrials.gov to identify ongoing studies. We extracted data on characteristics of studies, interventions, and measures. We then developed a framework to classify measures into the following categories: utilization (e.g., number of tests ordered), outcome (e.g., mortality), appropriateness (e.g., overuse of antibiotics), patient-reported (e.g., satisfaction), provider-reported (e.g., satisfaction), patient-provider interaction (e.g., informed decision-making elements), value, and cost. We also determined whether each measure was designed to assess unintended consequences. FINDINGS A total of 1805 studies were identified, of which 101 published and 16 ongoing studies were included. Of published studies (N = 101), 68% included at least one measure of utilization, 41% of an outcome, 52% of appropriateness, 36% of cost, 8% patient-reported, and 3% provider-reported. Funded studies were more likely to use patient-reported measures (17% vs 0%). Of ongoing studies (registered trials) (N = 16), 69% included at least one measure of utilization, 75% of an outcome, 50% of appropriateness, 19% of cost, 50% patient-reported, 13% provider-reported, and 6% patient-provider interaction. Of published studies, 34% included at least one measure of an unintended consequence as compared to 63% of ongoing studies. CONCLUSIONS AND RELEVANCE Most published studies focused on reductions in utilization rather than on clinically meaningful measures (e.g., improvements in appropriateness, patient-reported outcomes) or unintended consequences. Investigators should systematically incorporate more clinically meaningful measures into their study designs, and sponsors should develop standardized guidance for the evaluation of interventions to reduce low-value care.
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Affiliation(s)
- Jennifer K Maratt
- Department of Internal Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA. .,Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
| | - Eve A Kerr
- Department of Internal Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.,Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.,Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA
| | - Mandi L Klamerus
- Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA
| | | | - Whit Froehlich
- University of Michigan Medical School, Ann Arbor, MI, USA
| | - R Sacha Bhatia
- Department of Internal Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, USA
| | - Sameer D Saini
- Department of Internal Medicine and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA.,Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.,Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, USA
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22
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Osorio D, Zuriguel-Pérez E, Romea-Lecumberri S, Tiñena-Amorós M, Martínez-Muñoz M, Barba-Flores Á. Selecting and quantifying low-value nursing care in clinical practice: A questionnaire survey. J Clin Nurs 2019; 28:4053-4061. [PMID: 31287603 DOI: 10.1111/jocn.14989] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 06/11/2019] [Accepted: 06/30/2019] [Indexed: 01/13/2023]
Abstract
AIMS AND OBJECTIVES To evaluate the opinion of hospital nurses on a group of recommendations aimed at reducing low-value nursing care and, based on these results, to detect low-value practices probably existing in the hospital. BACKGROUND Low-value nursing care refers to clinical practices with poor or no benefit for patients that may be harmful and a waste of resources. Detecting these practices and understanding nurses' perceptions are essential to developing effective interventions to reduce them. METHODS We conducted a survey in a tertiary hospital. STROBE guidelines were followed. The questionnaire appraised nurses' agreement, subjective adherence and perception of usefulness of a group of recommendations to reduce low-value nursing care from Choosing Wisely and other initiatives. Practices described in recommendations with an agreement over 70% and a subjective adherence under 70% were categorised as low-value practices probably existing in the hospital. RESULTS A total of 265 nurses from eight areas of care participated in the survey. The response rate by area ranged between 2%-55%. From the 38 recommendations evaluated, agreement was 96% (95% confidence interval [95%CI], 95%-97%), median subjective adherence was 80% (95%CI, 80%-85%), and usefulness was 90% (95%CI, 89%-92%). Based on these results, we detected seven (0-15) low-value practices probably existing in our hospital, mostly on general practice, pregnancy care and wound care. CONCLUSIONS We found a great understanding of low-value care between nurses, given the high agreement to recommendations and perception of usefulness. However, several low-value practices may be present in nursing care, requiring actions to reduce them, for instance, reviewing institutional protocols and involving patients in de-implementation. RELEVANCE TO CLINICAL PRACTICE Hospitals and other settings should be aware of low-value practices and take actions to identify and reduce them. A survey may be a simple and helpful way to start this process.
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Affiliation(s)
- Dimelza Osorio
- Health Services Research Group-Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.,Center for Biomedical Research in the Epidemiology and Public Health Network (CIBERESP), Barcelona, Spain
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23
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Wang P, Hutfless SM, Shin EJ, Hartman C, Disney S, Fain CC, Bull-Henry KP, Daniels DK, Abdi T, Singh VK, Kalloo AN, Makary MA. Same-Day vs Different-Day Elective Upper and Lower Endoscopic Procedures by Setting. JAMA Intern Med 2019; 179:953-963. [PMID: 31081872 PMCID: PMC6515815 DOI: 10.1001/jamainternmed.2018.8766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
IMPORTANCE Performing elective upper and lower endoscopic procedures on the same day is a patient-centered and less costly approach than a 2-stage approach performed on different days, when clinically appropriate. Whether this practice pattern varies based on practice setting has not been studied. OBJECTIVES To estimate the rate of different-day upper and lower endoscopic procedures in 3 types of outpatient settings and investigate the factors associated with the performance of these procedures on different days. DESIGN, SETTING, AND PARTICIPANTS A retrospective analysis was conducted of Medicare claims between January 1, 2011, and June 30, 2018, for Medicare beneficiaries who underwent a pair of upper and lower endoscopic procedures performed within 90 days of each other at hospital outpatient departments (HOPDs), freestanding ambulatory surgery centers (ASCs), and physician offices. MAIN OUTCOMES AND MEASURES Undergoing an upper and a lower endoscopic procedure on different days, adjusted for patient characteristics (age, sex, race/ethnicity, residence location and region, comorbidity, and procedure indication) and physician characteristics (sex, years in practice, procedure volume, and primary specialty). Adjusted odds ratios (aORs) and 95% CIs were calculated. RESULTS A total of 4 028 587 procedure pairs were identified, of which 52.5% were performed in HOPDs, 43.3% in ASCs, and 4.2% in physician offices. The rate of different-day procedures was 13.6% in HOPDs, 22.2% in ASCs, and 47.7% in physician offices. For the 7564 physicians who practiced at both HOPDs and ASCs, their different-day procedure rate changed from 14.1% at HOPDs to 19.4% at ASCs. For the 993 physicians who practiced at both HOPDs and physician offices, their different-day procedure rate changed from 15.8% at HOPDs to 37.4% at physician offices. Patients were more likely to undergo different-day procedures at physician offices and ASCs compared with HOPDs, even after adjusting for patient and physician characteristics (physician office vs HOPD: aOR, 2.02; 95% CI, 1.85-2.20; ASC vs HOPD: aOR, 1.27; 95% CI, 1.23-1.32). Older age (85-94 years vs 65-74 years: aOR, 1.10; 95% CI, 1.08-1.11; 95 years or older vs 65-74 years: aOR, 1.14; 95% CI, 1.03-1.26), black and Hispanic race/ethnicity (black: aOR, 1.15; 95% CI, 1.12-1.17; Hispanic: aOR, 1.12; 95% CI, 1.10-1.14), and residing in the Northeast region (adjusted OR, 1.32; 95% CI, 1.28-1.36) were risk factors for undergoing different-day procedures. Micropolitan location (aOR, 0.94; 95% CI, 0.92-0.96) and rural location (aOR, 0.91; 95% CI, 0.89-0.93), more comorbidities (≥5: aOR, 0.75; 95% CI, 0.74-0.76), physician's fewer years in practice (aOR, 0.84; 95% CI, 0.81-0.87), physician's higher procedure volume (aOR, 0.65; 95% CI, 0.62-0.68), and physician's specialty of general surgery (aOR, 0.86; 95% CI, 0.80-0.91) were protective factors. CONCLUSIONS AND RELEVANCE Physician offices and ASCs had much higher different-day procedure rates compared with HOPDs. This disparity may represent an opportunity for quality improvement and financial savings for common endoscopic procedures.
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Affiliation(s)
- Peiqi Wang
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan M Hutfless
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Eun J Shin
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christian Hartman
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sarah Disney
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Christopher C Fain
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kathy P Bull-Henry
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Tsion Abdi
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Vikesh K Singh
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Anthony N Kalloo
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Martin A Makary
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.,Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Herrera-Perez D, Haslam A, Crain T, Gill J, Livingston C, Kaestner V, Hayes M, Morgan D, Cifu AS, Prasad V. A comprehensive review of randomized clinical trials in three medical journals reveals 396 medical reversals. eLife 2019; 8:45183. [PMID: 31182188 PMCID: PMC6559784 DOI: 10.7554/elife.45183] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/12/2019] [Indexed: 12/24/2022] Open
Abstract
The ability to identify medical reversals and other low-value medical practices is an essential prerequisite for efforts to reduce spending on such practices. Through an analysis of more than 3000 randomized controlled trials (RCTs) published in three leading medical journals (the Journal of the American Medical Association, the Lancet, and the New England Journal of Medicine), we have identified 396 medical reversals. Most of the studies (92%) were conducted on populations in high-income countries, cardiovascular disease was the most common medical category (20%), and medication was the most common type of intervention (33%).
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Affiliation(s)
- Diana Herrera-Perez
- Knight Cancer Institute, Oregon Health & Science University, Portland, United States
| | - Alyson Haslam
- Knight Cancer Institute, Oregon Health & Science University, Portland, United States
| | - Tyler Crain
- Knight Cancer Institute, Oregon Health & Science University, Portland, United States
| | - Jennifer Gill
- Knight Cancer Institute, Oregon Health & Science University, Portland, United States
| | | | - Victoria Kaestner
- Knight Cancer Institute, Oregon Health & Science University, Portland, United States
| | - Michael Hayes
- Division of Internal Medicine, Oregon Health & Science University, Portland, United States
| | - Dan Morgan
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, United States
| | - Adam S Cifu
- Department of Medicine, University of Chicago, Chigcago, United States
| | - Vinay Prasad
- Knight Cancer Institute, Oregon Health & Science University, Portland, United States.,Department of Public Health and Preventive Medicine, Oregon Health & Science University, Portland, United States.,Center for Health Care Ethics, Oregon Health & Science University, Portland, United States.,Department of Medicine, Oregon Health & Science University, Portland, United States
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25
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Moore L, Lauzier F, Tardif PA, Boukar KM, Farhat I, Archambault P, Mercier É, Lamontagne F, Chassé M, Stelfox HT, Berthelot S, Gabbe B, Lecky F, Yanchar N, Champion H, Kortbeek J, Cameron P, Bonaventure PL, Paquet J, Truchon C, Turgeon AF. Low-value clinical practices in injury care: A scoping review and expert consultation survey. J Trauma Acute Care Surg 2019; 86:983-993. [PMID: 31124896 DOI: 10.1097/ta.0000000000002246] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Tests and treatments that are not supported by evidence and could expose patients to unnecessary harm, referred to here as low-value clinical practices, consume up to 30% of health care resources. Choosing Wisely and other organizations have published lists of clinical practices to be avoided. However, few apply to injury and most are based uniquely on expert consensus. We aimed to identify low-value clinical practices in acute injury care. METHODS We conducted a scoping review targeting articles, reviews and guidelines that identified low-value clinical practices specific to injury populations. Thirty-six experts rated clinical practices on a five-point Likert scale from clearly low value to clearly beneficial. Clinical practices reported as low value by at least one level I, II, or III study and considered clearly or potentially low-value by at least 75% of experts were retained as candidates for low-value injury care. RESULTS Of 50,695 citations, 815 studies were included and led to the identification of 150 clinical practices. Of these, 63 were considered candidates for low-value injury care; 33 in the emergency room, 9 in trauma surgery, 15 in the intensive care unit, and 5 in orthopedics. We also identified 87 "gray zone" practices, which did not meet our criteria for low-value care. CONCLUSION We identified 63 low-value clinical practices in acute injury care that are supported by empirical evidence and expert opinion. Conditional on future research, they represent potential targets for guidelines, overuse metrics and de-implementation interventions. We also identified 87 "gray zone" practices, which may be interesting targets for value-based decision-making. Our study represents an important step toward the deimplementation of low-value clinical practices in injury care. LEVEL OF EVIDENCE Systematic Review, Level IV.
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Affiliation(s)
- Lynne Moore
- From the Department of Social and Preventative Medicine (L.M., K.M.B., I.F.), Population Health and Optimal Health Practices Research Unit, Trauma, Emergency, Critical Care Medicine (L.M., F.Lauzier, P.-A.T., K.M.B., I.M., E.M., S.B., P.L.B., A.F.T.), Centre de Recherche du CHU de Québec, Université Laval (Hôpital de l'Enfant-Jésus), Department of Anesthesiology and Critical Care Medicine (F.Lauzier, A.F.T.), Population Health and Optimal Health Practices Research Unit (P.A.), Transfert des Connaissances et Évaluation des Technologies et Modes d'Intervention en Santé, Centre de Recherche du CHU de Québec, Université Laval (Hôpital St François d'Assise), Université Laval; Department of Medicine (F.Lamontagne), Université de Sherbrooke, Sherbrooke; Department of Medicine (M.C.), Université de Montréal, Montréal, Québec; Departments of Critical Care Medicine (H.T.S.), Medicine and Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada; School of Public Health and Preventive Medicine (B.G.), Monash University, Melbourne, Australia; Emergency Medicine (F.Lecky), University of Sheffield, Sheffield; Trauma Audit and Research Network, United Kingdom; Department of Surgery (N.Y.), Dalhousie University, Halifax, Nova Scotia; Department of Surgery (H.C.), Uniformed Services University of the Health Sciences, Bethesda, Maryland; Department of Surgery (J.K.), University of Calgary, Calgary, Alberta, Canada; The Alfred Hospital (P.C.), Monash University, Melbourne, Australia; Division of Neurosurgery, Department of Surgery (P.L.B., J.P.), Université Laval; Institut National D'Excellence en Santé et en Services Sociaux (C.T.), Québec, Canada
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26
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Oakes AH, Chang HY, Segal JB. Systemic overuse of health care in a commercially insured US population, 2010-2015. BMC Health Serv Res 2019; 19:280. [PMID: 31046746 PMCID: PMC6498548 DOI: 10.1186/s12913-019-4079-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 04/09/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Overuse is a leading contributor to the high cost of health care in the United States. Overuse harms patients and is a definitive waste of resources. The Johns Hopkins Overuse Index (JHOI) is a normalized measure of systemic health care services overuse, generated from claims data, that has been used to describe overuse in Medicare beneficiaries and to understand drivers of overuse. We aimed to adapt the JHOI for application to a commercially insured US population, to examine geographic variation in systemic overuse in this population, and to analyze trends over time to inform whether systemic overuse is an enduring problem. METHODS We analyzed commercial insurance claims from 18 to 64 year old beneficiaries. We calculated a semiannual JHOI for each of the 375 Metropolitan Statistical Areas and 47 rural regions of the US. We generated maps to examine geographic variation and then analyzed each region's change in their JHOI quintile from January 2011 to June 2015. RESULTS The JHOI varied markedly across the US. Across the country, rural regions tended to have less systemic overuse than their MSA counterparts (p < 0.01). Regional systemic overuse is positively correlated from one time period to the next (p < 0.001). Between 2011 and 2015, 53.7% (N = 226) of regions remained in the same quintile of the JHOI. Eighty of these regions had a persistently high or persistently low JHOI throughout study duration. CONCLUSIONS The systemic overuse of health care resources is an enduring, regional problem. Areas identified as having a persistently high rate of systemic overuse merit further investigation to understand drivers and potential points of intervention.
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Affiliation(s)
- Allison H Oakes
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Center for Health Services and Outcomes Research of the Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hsien-Yen Chang
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Center for Health Services and Outcomes Research of the Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jodi B Segal
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
- Center for Health Services and Outcomes Research of the Bloomberg School of Public Health, Baltimore, MD, USA.
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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27
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Ulyte A, Bähler C, Schwenkglenks M, von Wyl V, Gruebner O, Wei W, Blozik E, Brüngger B, Dressel H. Measuring diabetes guideline adherence with claims data: systematic construction of indicators and related challenges. BMJ Open 2019; 9:e027138. [PMID: 31023761 PMCID: PMC6501964 DOI: 10.1136/bmjopen-2018-027138] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVES Indicators of guideline adherence are frequently used to examine the appropriateness of healthcare services. Only some potential indicators are actually usable for research with routine administrative claims data, potentially leading to a biased selection of research questions. This study aimed at developing a systematic approach to extract potential indicators from clinical practice guidelines (CPG), evaluate their feasibility for research with claims data and assess how the extracted set reflected different types of healthcare services. Diabetes mellitus (DM), Swiss national guidelines and health insurance claims data were analysed as a model case. METHODS CPG for diabetes patients were retrieved from the Swiss Endocrinology and Diabetes Society website. Recommendation statements involving a specific healthcare intervention for a defined patient population were translated into indicators of guideline adherence. Indicators were classified according to disease stage and healthcare service type. We assessed for all indicators whether they could be analysed with Swiss mandatory health insurance administrative claims data. RESULTS A total of 93 indicators were derived from 15 CPG, representing all sectors of diabetes care. For 63 indicators, the target population could not be identified using claims data only. For 67 indicators, the intervention could not be identified. Nine (10%) of all indicators were feasible for research with claims data (three addressed gestational diabetes and screening, five screening for complications and one glucose measurement). Some types of healthcare services, eg, management of risk factors, treatment of the disease and secondary prevention, lacked corresponding indicators feasible for research. CONCLUSIONS Our systematic approach could identify a number of indicators of healthcare service utilisation, feasible for DM research with Swiss claims data. Some areas of healthcare were covered less well. The approach could be applied to other diseases and countries, helping to identify the potential bias in the selection of indicators and optimise research.
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Affiliation(s)
- Agne Ulyte
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Caroline Bähler
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
| | - Matthias Schwenkglenks
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Viktor von Wyl
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Oliver Gruebner
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- Geography Department, University of Zurich, Zurich, Switzerland
| | - Wenjia Wei
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
| | - Eva Blozik
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
| | - Beat Brüngger
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
| | - Holger Dressel
- Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
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Chalmers K, Pearson SA, Badgery-Parker T, Brett J, Scott IA, Elshaug AG. Measuring 21 low-value hospital procedures: claims analysis of Australian private health insurance data (2010-2014). BMJ Open 2019; 9:e024142. [PMID: 30842110 PMCID: PMC6429894 DOI: 10.1136/bmjopen-2018-024142] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To examine the prevalence, costs and trends (2010-2014) for 21 low-value inpatient procedures in a privately insured Australian patient cohort. DESIGN We developed indicators for 21 low-value procedures from evidence-based lists such as Choosing Wisely, and applied them to a claims data set of hospital admissions. We used narrow and broad indicators where multiple low-value procedure definitions exist. SETTING AND PARTICIPANTS A cohort of 376 354 patients who claimed for an inpatient service from any of 13 insurance funds in calendar years 2010-2014; approximately 7% of the privately insured Australian population. MAIN OUTCOME MEASURES Counts and proportions of low-value procedures in 2014, and relative change between 2010 and 2014. We also report both the Medicare (Australian government) and the private insurance financial contributions to these low-value admissions. RESULTS Of the 14 662 patients with admissions for at least 1 of the 21 procedures in 2014, 20.8%-32.0% were low-value using the narrow and broad indicators, respectively. Of the 21 procedures, admissions for knee arthroscopy were highest in both the volume and the proportion that were low-value (1607-2956; 44.4%-81.7%).Seven low-value procedures decreased in use between 2010 and 2014, while admissions for low-value percutaneous coronary interventions and inpatient intravitreal injections increased (51% and 8%, respectively).For this sample, we estimated 2014 Medicare contributions for admissions with low-value procedures to be between $A1.8 and $A2.9 million, and total charges between $A12.4 and $A22.7 million. CONCLUSIONS The Australian federal government is currently reviewing low-value healthcare covered by Medicare and private health insurers. Estimates from this study can provide crucial baseline data and inform design and assessment of policy strategies within the Australian private healthcare sector aimed at curtailing the high volume and/or proportions of low-value procedures.
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Affiliation(s)
- Kelsey Chalmers
- Menzies Centre for Health Policy, University of Sydney School of Public Health, Sydney, New South Wales, Australia
- Health Market Quality Program, Capital Markets CRC Ltd, Sydney, New South Wales, Australia
| | - Sallie-Anne Pearson
- Medicines Policy Research Unit, University of New South Wales, UNSW, New South Wales, Australia
| | - Tim Badgery-Parker
- Menzies Centre for Health Policy, University of Sydney School of Public Health, Sydney, New South Wales, Australia
- Health Market Quality Program, Capital Markets CRC Ltd, Sydney, New South Wales, Australia
| | - Jonathan Brett
- Medicines Policy Research Unit, University of New South Wales, UNSW, New South Wales, Australia
| | - Ian A Scott
- Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Centre for Health Services Research, University of Queensland, Brisbane, Queensland, Australia
| | - Adam G Elshaug
- Menzies Centre for Health Policy, University of Sydney School of Public Health, Sydney, New South Wales, Australia
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Badgery-Parker T, Pearson SA, Chalmers K, Brett J, Scott IA, Dunn S, Onley N, Elshaug AG. Low-value care in Australian public hospitals: prevalence and trends over time. BMJ Qual Saf 2018; 28:205-214. [PMID: 30082331 PMCID: PMC6559783 DOI: 10.1136/bmjqs-2018-008338] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2018] [Revised: 06/26/2018] [Accepted: 07/17/2018] [Indexed: 01/28/2023]
Abstract
Objective To examine 27 low-value procedures, as defined by international recommendations, in New South Wales public hospitals. Design Analysis of admitted patient data for financial years 2010–2011 to 2016–2017. Main outcome measures Number and proportion of episodes identified as low value by two definitions (narrower and broader), associated costs and bed-days, and variation between hospitals in financial year 2016–2017; trends in numbers of low-value episodes from 2010–2011 to 2016–2017. Results For 27 procedures in 2016–2017, we identified 5079 (narrower definition) to 8855 (broader definition) episodes involving low-value care (11.00%–19.18% of all 46 169 episodes involving these services). These episodes were associated with total inpatient costs of $A49.9 million (narrower) to $A99.3 million (broader), which was 7.4% (narrower) to 14.7% (broader) of the total $A674.6 million costs for all episodes involving these procedures in 2016–2017, and involved 14 348 (narrower) to 29 705 (broader) bed-days. Half the procedures accounted for less than 2% of all low-value episodes identified; three of these had no low-value episodes in 2016–2017. The proportion of low-value care varied widely between hospitals. Of the 14 procedures accounting for most low-value care, seven showed decreasing trends from 2010–2011 to 2016–2017, while three (colonoscopy for constipation, endoscopy for dyspepsia, sentinel lymph node biopsy for melanoma in situ) showed increasing trends. Conclusions Low-value care in this Australian public hospital setting is not common for most of the measured procedures, but colonoscopy for constipation, endoscopy for dyspepsia and sentinel lymph node biopys for melanoma in situ require further investigation and action to reverse increasing trends. The variation between procedures and hospitals may imply different drivers and potential remedies.
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Affiliation(s)
- Tim Badgery-Parker
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Health Market Quality Program, Capital Markets CRC, Sydney, New South Wales, Australia
| | - Sallie-Anne Pearson
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Kelsey Chalmers
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Health Market Quality Program, Capital Markets CRC, Sydney, New South Wales, Australia
| | - Jonathan Brett
- Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Ian A Scott
- School of Clinical Medicine, University of Queensland, Brisbane, Queensland, Australia.,Department of Internal Medicine and Clinical Epidemiology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Susan Dunn
- Activity Based Management, NSW Ministry of Health, Sydney, New South Wales, Australia
| | - Neville Onley
- Activity Based Management, NSW Ministry of Health, Sydney, New South Wales, Australia
| | - Adam G Elshaug
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.,Lown Institute, Boston, Massachusetts, USA
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Chalmers K, Badgery-Parker T, Pearson SA, Brett J, Scott IA, Elshaug AG. Developing indicators for measuring low-value care: mapping Choosing Wisely recommendations to hospital data. BMC Res Notes 2018; 11:163. [PMID: 29506573 PMCID: PMC5836437 DOI: 10.1186/s13104-018-3270-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 02/24/2018] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE Low-value health care refers to interventions where the risk of harm or costs exceeds the likely benefit for a patient. We aimed to develop indicators of low-value care, based on selected Choosing Wisely (CW) recommendations, applicable to routinely collected, hospital claims data. RESULTS We assessed 824 recommendations from the United States, Canada, Australia and the United Kingdom CW lists regarding their capacity to be measured in administrative hospital admissions datasets. We selected recommendations if they met the following criteria: the service occurred in the hospital setting (observable in setting); a claim recorded the use of the service (record of service); the appropriate/inappropriate use of the service could be mapped to information within the hospital claim (indication); and the service is consistently recorded in the claims (consistent documentation). We identified 17 recommendations (15 services) as measurable. We then developed low-value care indicators for two hospital datasets based on the selected recommendations, previously published indicators, and clinical input.
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Affiliation(s)
- Kelsey Chalmers
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, University of Sydney, Sydney, NSW 2006 Australia
- Health Market Quality Program, Capital Markets Cooperative Research Centre, Sydney, NSW 2000 Australia
| | - Tim Badgery-Parker
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, University of Sydney, Sydney, NSW 2006 Australia
- Health Market Quality Program, Capital Markets Cooperative Research Centre, Sydney, NSW 2000 Australia
| | - Sallie-Anne Pearson
- Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Level 1, AGSM Building, Sydney, NSW 2052 Australia
| | - Jonathan Brett
- Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Level 1, AGSM Building, Sydney, NSW 2052 Australia
| | - Ian A. Scott
- Princess Alexandra Hospital, Brisbane, QLD 4102 Australia
- University of Queensland, Brisbane, QLD 4072 Australia
| | - Adam G. Elshaug
- Menzies Centre for Health Policy, School of Public Health, Charles Perkins Centre, University of Sydney, Sydney, NSW 2006 Australia
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Grilli R, Chiesa V. Overuse in cancer care: do European studies provide information useful to support policies? Health Res Policy Syst 2018; 16:12. [PMID: 29458403 PMCID: PMC5819192 DOI: 10.1186/s12961-018-0287-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Accepted: 01/19/2018] [Indexed: 02/06/2023] Open
Abstract
Health services overuse has been acknowledged as a relevant policy issue. In this study, we assessed the informative value of research on the quality of cancer care, exploring to what extent it is actually concerned with care overuse, thus providing policy-makers with sound estimates of overuse prevalence. We searched Medline for European studies, reporting information on the rate of use of diagnostic or therapeutic procedures/interventions in breast, colorectal, lung and prostate cancer patients, published in English between 2006 and 2016. Individual studies were classified with regards to their orientation towards overuse according to the quality metrics adopted in assessing rates of use of procedures and interventions. Out of 1882 papers identified, 100 accounting for 94 studies met our eligibility criteria, most of them on breast (n = 38) and colorectal (n = 30) cancer. Of these, 46 (49%) studies relied on process indicators allowing a direct measure of under- or overuse, the latter being addressed in 22 (24%) studies. Search for overuse in patterns of care did not increase over time, with overuse being measured in 24% of the studies published before 2010, and in only 13% of those published in 2015–2016. Information on its prevalence was available only for a relatively limited number of procedures/interventions. Overall, estimates of overuse tended to be higher for diagnostic procedures (median prevalence across all studies, 24%) than for drugs, surgical procedures or radiotherapy (median overuse prevalence always lower than 10%). Despite its increasing policy relevance, overuse is still an often overlooked issue in current European research on the quality of care for cancer patients.
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Affiliation(s)
- Roberto Grilli
- Clinical Governance Program, Local Health Authority - IRCCS of Reggio Emilia, Reggio Emilia, Italy.
| | - Valentina Chiesa
- Department of Medicine and Surgery, Unit of Biomedical, Biotechnological and Translational Science, University of Parma, Parma, Italy
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Raspe H. [The Choosing Wisely Initiative (CWI): Background, aims and problems of a professional campaign against oversupply]. ZEITSCHRIFT FUR EVIDENZ, FORTBILDUNG UND QUALITAT IM GESUNDHEITSWESEN 2017; 129:12-17. [PMID: 29153355 DOI: 10.1016/j.zefq.2017.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The Choosing Wisely Initiative (CWI) started in 2012 follows a proposal by Howard Brody (2010). Using CWI, the US ABIM Foundation continued its work to strengthen medical professionalism. The text describes CWI's development, aims, mission, and dissemination. It discusses some of its limits and problems. An appendix tabulates similarities and differences between CWI and a (2016) subsequent initiative from the German Society of Internal Medicine (DGIM: Klug Entscheiden Empfehlungen/decide wisely recommendations).
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Affiliation(s)
- Heiner Raspe
- Gastwissenschaftler am Institut für Ethik, Geschichte und Theorie der Medizin, Soetenkamp 16, 48149 Münster, Germany.
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Harris C, Green S, Elshaug AG. Sustainability in Health care by Allocating Resources Effectively (SHARE) 10: operationalising disinvestment in a conceptual framework for resource allocation. BMC Health Serv Res 2017; 17:632. [PMID: 28886740 PMCID: PMC5590199 DOI: 10.1186/s12913-017-2506-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 08/03/2017] [Indexed: 11/15/2022] Open
Abstract
Background This is the tenth in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. After more than a decade of research, there is little published evidence of active and successful disinvestment. The paucity of frameworks, methods and tools is reported to be a factor in the lack of success. However there are clear and consistent messages in the literature that can be used to inform development of a framework for operationalising disinvestment. This paper, along with the conceptual review of disinvestment in Paper 9 of this series, aims to integrate the findings of the SHARE Program with the existing disinvestment literature to address the lack of information regarding systematic organisation-wide approaches to disinvestment at the local health service level. Discussion A framework for disinvestment in a local healthcare setting is proposed. Definitions for essential terms and key concepts underpinning the framework have been made explicit to address the lack of consistent terminology. Given the negative connotations of the word ‘disinvestment’ and the problems inherent in considering disinvestment in isolation, the basis for the proposed framework is ‘resource allocation’ to address the spectrum of decision-making from investment to disinvestment. The focus is positive: optimising healthcare, improving health outcomes, using resources effectively. The framework is based on three components: a program for decision-making, projects to implement decisions and evaluate outcomes, and research to understand and improve the program and project activities. The program consists of principles for decision-making and settings that provide opportunities to introduce systematic prompts and triggers to initiate disinvestment. The projects follow the steps in the disinvestment process. Potential methods and tools are presented, however the framework does not stipulate project design or conduct; allowing application of any theories, methods or tools at each step. Barriers are discussed and examples illustrating constituent elements are provided. Conclusions The framework can be employed at network, institutional, departmental, ward or committee level. It is proposed as an organisation-wide application, embedded within existing systems and processes, which can be responsive to needs and priorities at the level of implementation. It can be used in policy, management or clinical contexts. Electronic supplementary material The online version of this article (doi:10.1186/s12913-017-2506-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Claire Harris
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. .,Centre for Clinical Effectiveness, Monash Health, Melbourne, Victoria, Australia.
| | - Sally Green
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Adam G Elshaug
- Menzies Centre for Health Policy, Sydney School of Public Health, University of Sydney, Sydney, Australia.,Lown Institute, Brookline, Massachusetts, USA
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Moore L, Boukar KM, Tardif PA, Stelfox HT, Champion H, Cameron P, Gabbe B, Yanchar N, kortbeek J, Lauzier F, Légaré F, Archambault P, Turgeon AF. Low-value clinical practices in injury care: a scoping review protocol. BMJ Open 2017; 7:e016024. [PMID: 28706101 PMCID: PMC5726053 DOI: 10.1136/bmjopen-2017-016024] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 03/28/2017] [Accepted: 04/21/2017] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Preventable injuries lead to 200 000 hospital stays, 60 000 disabilities, and 13 000 deaths per year in Canada with direct costs of $20 billion. Overall, potentially unnecessary medical interventions are estimated to consume up to 30% of healthcare resources and may expose patients to avoidable harm. However, little is known about overuse for acute injury care. We aim to identify low-value clinical practices in injury care. METHODS AND ANALYSIS We will perform a scoping review of peer-reviewed and non-peer-reviewed literature to identify research articles, reviews, recommendations and guidelines that identify at least one low-value clinical practice specific to injury populations. We will search Medline, EMBASE, COCHRANE central, and BIOSIS/Web of Knowledge databases, websites of government agencies, professional societies and patient advocacy organisations, thesis holdings and conference proceedings. Pairs of independent reviewers will evaluate studies for eligibility and extract data from included articles using a prepiloted and standardised electronic data abstraction form. Low-value clinical practices will be categorised using an extension of the Agency for Healthcare Research and Quality conceptual framework and data will be presented using narrative synthesis. ETHICS AND DISSEMINATION Ethics approval is not required as original data will not be collected. This study will be disseminated in a peer-reviewed journal, international scientific meetings, and to knowledge users through clinical and healthcare quality associations. This review will contribute new knowledge on low-value clinical practices in acute injury care. Our results will support the development indicators to measure resource overuse and inform policy makers on potential targets for deadoption in injury care.
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Affiliation(s)
- Lynne Moore
- Department of Social and Preventative Medicine, Université Laval, Québec (Qc), Canada
- Population Health and Optimal Health Practices Research Unit, Trauma – Emergency – Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l’Enfant-Jésus), Université Laval, Québec, Canada
| | - Khadidja Malloum Boukar
- Department of Social and Preventative Medicine, Université Laval, Québec (Qc), Canada
- Population Health and Optimal Health Practices Research Unit, Trauma – Emergency – Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l’Enfant-Jésus), Université Laval, Québec, Canada
| | - Pier-Alexandre Tardif
- Population Health and Optimal Health Practices Research Unit, Trauma – Emergency – Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l’Enfant-Jésus), Université Laval, Québec, Canada
| | - Henry T Stelfox
- Departments of Critical Care Medicine, Medicine and Community Health Sciences, O’Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | | | - Peter Cameron
- The Alfred Hospital, Monash University, Melbourne, Australia
| | - Belinda Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Natalie Yanchar
- Department of Surgery, Dalhousie University, Halifax, Canada
| | - John kortbeek
- Department of Surgery, University of Calgary, Calgary, Canada
| | - François Lauzier
- Department of Social and Preventative Medicine, Université Laval, Québec (Qc), Canada
- Population Health and Optimal Health Practices Research Unit, Trauma – Emergency – Critical Care Medicine, Centre de Recherche du CHU de Québec (Hôpital de l’Enfant-Jésus), Université Laval, Québec, Canada
| | - France Légaré
- Department of Medicine, Université de Montréal, Québec, Canada
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Harris C, Allen K, Brooke V, Dyer T, Waller C, King R, Ramsey W, Mortimer D. Sustainability in Health care by Allocating Resources Effectively (SHARE) 6: investigating methods to identify, prioritise, implement and evaluate disinvestment projects in a local healthcare setting. BMC Health Serv Res 2017; 17:370. [PMID: 28545430 PMCID: PMC5445482 DOI: 10.1186/s12913-017-2269-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 04/26/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This is the sixth in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. The SHARE program was established to investigate a systematic, integrated, evidence-based approach to disinvestment within a large Australian health service. This paper describes the methods employed in undertaking pilot disinvestment projects. It draws a number of lessons regarding the strengths and weaknesses of these methods; particularly regarding the crucial first step of identifying targets for disinvestment. METHODS Literature reviews, survey, interviews, consultation and workshops were used to capture and process the relevant information. A theoretical framework was adapted for evaluation and explication of disinvestment projects, including a taxonomy for the determinants of effectiveness, process of change and outcome measures. Implementation, evaluation and costing plans were developed. RESULTS Four literature reviews were completed, surveys were received from 15 external experts, 65 interviews were conducted, 18 senior decision-makers attended a data gathering workshop, 22 experts and local informants were consulted, and four decision-making workshops were undertaken. Mechanisms to identify disinvestment targets and criteria for prioritisation and decision-making were investigated. A catalogue containing 184 evidence-based opportunities for disinvestment and an algorithm to identify disinvestment projects were developed. An Expression of Interest process identified two potential disinvestment projects. Seventeen additional projects were proposed through a non-systematic nomination process. Four of the 19 proposals were selected as pilot projects but only one reached the implementation stage. Factors with potential influence on the outcomes of disinvestment projects are discussed and barriers and enablers in the pilot projects are summarised. CONCLUSION This study provides an in-depth insight into the experience of disinvestment in one local healthcare service. To our knowledge, this is the first paper to report the process of disinvestment from identification, through prioritisation and decision-making, to implementation and evaluation, and finally explication of the processes and outcomes.
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Affiliation(s)
- Claire Harris
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. .,Centre for Clinical Effectiveness, Monash Health, Melbourne, VIC, Australia.
| | - Kelly Allen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.,Centre for Clinical Effectiveness, Monash Health, Melbourne, VIC, Australia
| | - Vanessa Brooke
- Centre for Clinical Effectiveness, Monash Health, Melbourne, VIC, Australia
| | - Tim Dyer
- Centre for Clinical Effectiveness, Monash Health, Melbourne, VIC, Australia
| | - Cara Waller
- Centre for Clinical Effectiveness, Monash Health, Melbourne, VIC, Australia
| | - Richard King
- Medicine Program, Monash Health, Melbourne, VIC, Australia
| | - Wayne Ramsey
- Medical Services and Quality, Monash Health, Melbourne, VIC, Australia
| | - Duncan Mortimer
- Centre for Health Economics, Monash University, Melbourne, VIC, Australia
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Brett J, Elshaug AG, Bhatia RS, Chalmers K, Badgery-Parker T, Pearson SA. A methodological protocol for selecting and quantifying low-value prescribing practices in routinely collected data: an Australian case study. Implement Sci 2017; 12:58. [PMID: 28468629 PMCID: PMC5415810 DOI: 10.1186/s13012-017-0585-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 04/18/2017] [Indexed: 12/04/2022] Open
Abstract
Background Growing imperatives for safety, quality and responsible resource allocation have prompted renewed efforts to identify and quantify harmful or wasteful (low-value) medical practices such as test ordering, procedures and prescribing. Quantifying these practices at a population level using routinely collected health data allows us to understand the scale of low-value medical practices, measure practice change following specific interventions and prioritise policy decisions. To date, almost all research examining health care through the low-value lens has focused on medical services (tests and procedures) rather than on prescribing. The protocol described herein outlines a program of research funded by Australia’s National Health and Medical Research Council to select and quantify low-value prescribing practices within Australian routinely collected health data. Methods We start by describing our process for identifying and cataloguing international low-value prescribing practices. We then outline our approach to translate these prescribing practices into indicators that can be applied to Australian routinely collected health data. Next, we detail methods of using Australian health data to quantify these prescribing practices (e.g. prevalence of low-value prescribing and related costs) and their downstream health consequences. We have approval from the necessary Australian state and commonwealth human research ethics and data access committees to undertake this work. Discussion The lack of systematic and transparent approaches to quantification of low-value practices in routinely collected data has been noted in recent reviews. Here, we present a methodology applied in the Australian context with the aim of demonstrating principles that can be applied across jurisdictions in order to harmonise international efforts to measure low-value prescribing. The outcomes of this research will be submitted to international peer-reviewed journals. Results will also be presented at national and international pharmacoepidemiology and health policy forums such that other jurisdictions have guidance to adapt this methodology. Electronic supplementary material The online version of this article (doi:10.1186/s13012-017-0585-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jonathan Brett
- Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Level 1, AGSM Building (G27), Sydney, NSW, 2052, Australia
| | - Adam G Elshaug
- Menzies Centre for Health Policy, School of Public Health, University of Sydney, Level 6 The Hub, Charles Perkins Centre D17, Sydney, NSW, 2006, Australia
| | - R Sacha Bhatia
- Department of Medicine, University of Toronto, Toronto, Canada.,Institute for Health System Solutions and Virtual Care, Women's College Hospital, Toronto, Canada
| | - Kelsey Chalmers
- Menzies Centre for Health Policy, School of Public Health, University of Sydney, Level 6 The Hub, Charles Perkins Centre D17, Sydney, NSW, 2006, Australia
| | - Tim Badgery-Parker
- Menzies Centre for Health Policy, School of Public Health, University of Sydney, Level 6 The Hub, Charles Perkins Centre D17, Sydney, NSW, 2006, Australia
| | - Sallie-Anne Pearson
- Medicines Policy Research Unit, Centre for Big Data Research in Health, University of New South Wales, Level 1, AGSM Building (G27), Sydney, NSW, 2052, Australia. .,Menzies Centre for Health Policy, School of Public Health, University of Sydney, Level 6 The Hub, Charles Perkins Centre D17, Sydney, NSW, 2006, Australia.
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Zywiel MG, Liu TC, Bozic KJ. Value-based Healthcare: The Challenge of Identifying and Addressing Low-value Interventions. Clin Orthop Relat Res 2017; 475:1305-1308. [PMID: 28255949 PMCID: PMC5384941 DOI: 10.1007/s11999-017-5298-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 02/21/2017] [Indexed: 01/31/2023]
Affiliation(s)
- Michael G. Zywiel
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, 1400 Barbara Jordan Blvd., Suite 1.114, Austin, TX 78723 USA
| | - Tiffany C. Liu
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, 1400 Barbara Jordan Blvd., Suite 1.114, Austin, TX 78723 USA
| | - Kevin J. Bozic
- Department of Surgery and Perioperative Care, Dell Medical School at the University of Texas at Austin, 1400 Barbara Jordan Blvd., Suite 1.114, Austin, TX 78723 USA
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Affiliation(s)
| | - Deborah Korenstein
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York
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39
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Chang E, Buist DS, Handley M, Pardee R, Gundersen G, Reid RJ. Physician Service Attribution Methods for Examining Provision of Low-Value Care. EGEMS 2017; 4:1276. [PMID: 28203612 PMCID: PMC5302861 DOI: 10.13063/2327-9214.1276] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Objectives: There has been significant research on provider attribution for quality and cost. Low-value care is an area of heightened focus, with little of the focus being on measurement; a key methodological decision is how to attribute delivered services and procedures. We illustrate the difference in relative and absolute physician- and panel-attributed services and procedures using overuse in cervical cancer screening. Study Design: A retrospective, cross-sectional study in an integrated health care system. Methods: We used 2013 physician-level data from Group Health Cooperative to calculate two utilization attributions: (1) panel attribution with the procedure assigned to the physician’s predetermined panel, regardless of who performed the procedure; and (2) physician attribution with the procedure assigned to the performing physician. We calculated the percentage of low-value cervical cancer screening tests and ranked physicians within the clinic using the two utilization attribution methods. Results: The percentage of low-value cervical cancer screening varied substantially between physician and panel attributions. Across the whole delivery system, median panel- and physician-attributed percentages were 15 percent and 10 percent, respectively. Among sampled clinics, panel-attributed percentages ranged between 10 percent and 17 percent, and physician-attributed percentages ranged between 9 percent and 13 percent. Within a clinic, median panel-attributed screening percentage was 17 percent (range 0 percent–27 percent) and physician-attributed percentage was 11 percent (range 0 percent–24 percent); physician rank varied by attribution method. Conclusions: The attribution method is an important methodological decision when developing low-value care measures since measures may ultimately have an impact on national benchmarking and quality scores. Cross-organizational dialogue and transparency in low-value care measurement will become increasingly important for all stakeholders.
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Affiliation(s)
| | - Diana Sm Buist
- Group Health Research Institute, Group Health Cooperative
| | | | - Roy Pardee
- Group Health Research Institute, Group Health Cooperative
| | | | - Robert J Reid
- Group Health Research Institute, Group Health Cooperative; Trillium Health Partners - Institute for Better Health
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Wammes JJG, van den Akker-van Marle ME, Verkerk EW, van Dulmen SA, Westert GP, van Asselt ADI, Kool RB. Identifying and prioritizing lower value services from Dutch specialist guidelines and a comparison with the UK do-not-do list. BMC Med 2016; 14:196. [PMID: 27884150 PMCID: PMC5123317 DOI: 10.1186/s12916-016-0747-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2016] [Accepted: 11/10/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The term 'lower value services' concerns healthcare that is of little or no value to the patient and consequently should not be provided routinely, or not be provided at all. De-adoption of lower value care may occur through explicit recommendations in clinical guidelines. The present study aimed to generate a comprehensive list of lower value services for the Netherlands that assesses the type of care and associated medical conditions. The list was compared with the NICE do-not-do list (United Kingdom). Finally, the feasibility of prioritizing the list was studied to identify conditions where de-adoption is warranted. METHODS Dutch clinical guidelines (published from 2010 to 2015) were searched for lower value services. The lower value services identified were categorized by type of care (diagnostics, treatment with and without medication), type of lower value service (not routinely provided or not provided at all), and ICD10 codes (international classification of diseases). The list was prioritized per ICD10 code, based on the number of lower value services per ICD10 code, prevalence, and burden of disease. RESULTS A total of 1366 lower value services were found in the 193 Dutch guidelines included in our study. Of the lower value services, 30% covered diagnostics, 29% related to surgical and medical treatment without drugs primarily, and 39% related to drug treatment. The majority (77%) of all lower value services was on care that should not be offered at all, whereas the other 23% recommended on care that should not be offered routinely. ICD10 chapters that included most lower value services were neoplasms and diseases of the nervous system. Dutch guidelines appear to contain more lower value services than UK guidelines. The prioritization processes revealed several conditions, including back pain, chronic obstructive pulmonary disease, and ischemic heart diseases, where lower value services most likely occur and de-adoption is warranted. CONCLUSIONS In this study, a comprehensive list of lower value services for Dutch hospital care was developed. A feasible method for prioritizing lower value services was established. Identifying and prioritizing lower value services is the first of several necessary steps in reducing them.
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Affiliation(s)
- Joost Johan Godert Wammes
- Radboud University Medical Center, Radboud Institute for Health Sciences, IQ Healthcare, 114 IQ Healthcare, PO Box 9101, Nijmegen, 6500, HB, The Netherlands.
| | - M Elske van den Akker-van Marle
- Department of Medical Decision Making, Leiden University Medical Centre, Albinusdreef 2, Postbus 9600, Leiden, 2300, RC, The Netherlands
| | - Eva W Verkerk
- Radboud University Medical Center, Radboud Institute for Health Sciences, IQ Healthcare, 114 IQ Healthcare, PO Box 9101, Nijmegen, 6500, HB, The Netherlands
| | - Simone A van Dulmen
- Radboud University Medical Center, Radboud Institute for Health Sciences, IQ Healthcare, 114 IQ Healthcare, PO Box 9101, Nijmegen, 6500, HB, The Netherlands
| | - Gert P Westert
- Radboud University Medical Center, Radboud Institute for Health Sciences, IQ Healthcare, 114 IQ Healthcare, PO Box 9101, Nijmegen, 6500, HB, The Netherlands
| | - Antoinette D I van Asselt
- Department of Epidemiology, University Medical Centre Groningen, Groningen, The Netherlands.,Department of Pharmacy, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713, AV, The Netherlands
| | - R B Kool
- Radboud University Medical Center, Radboud Institute for Health Sciences, IQ Healthcare, 114 IQ Healthcare, PO Box 9101, Nijmegen, 6500, HB, The Netherlands
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