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Wang SY, Larrain N, Groene O. Can peer effects explain prescribing appropriateness? a social network analysis. BMC Med Res Methodol 2023; 23:252. [PMID: 37898770 PMCID: PMC10613382 DOI: 10.1186/s12874-023-02048-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 09/25/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Optimizing prescribing practices is important due to the substantial clinical and financial costs of polypharmacy and an increasingly aging population. Prior research shows the importance of social relationships in driving prescribing behaviour. Using social network analysis, we examine the relationship between a physician practices' connectedness to peers and their prescribing performance in two German regions. METHODS We first mapped physician practice networks using links established between two practices that share 8 or more patients; we calculated network-level (density, average path length) and node-level measures (degree, betweenness, eigenvector). We defined prescribing performance as the total number of inappropriate medications prescribed or appropriate medications not prescribed (PIMs) to senior patients (over the age of 65) during the calendar year 2016. We used FORTA (Fit fOR The Aged) algorithm to classify medication appropriateness. Negative binomial regression models estimate the association between node-level measures and prescribing performance of physician practices controlling for patient comorbidity, provider specialization, percentage of seniors in practice, and region. We conducted two sensitivity analyses to test the robustness of our findings - i) limiting the network mapping to patients younger than 65; ii) limiting the network ties to practices that share more than 25 patients. RESULTS We mapped two patient-sharing networks including 436 and 270 physician practices involving 28,508 and 20,935 patients and consisting of 217,126 and 154,274 claims in the two regions respectively. Regression analyses showed a practice's network connectedness as represented by degree, betweenness, and eigenvector centrality, is significantly negatively associated with prescribing performance (degree-bottom vs. top quartile aRR = 0.04, 95%CI: 0.035,0.045; betweenness-bottom vs. top quartile aRR = 0.063 95%CI: 0.052,0.077; eigenvector-bottom vs. top quartile aRR = 0.039, 95%CI: 0.034,0.044). CONCLUSIONS Our study provides evidence that physician practice prescribing performance is associated with their peer connections and position within their network. We conclude that practices occupying strategic positions at the edge of networks with advantageous access to novel information are associated with better prescribing outcomes, whereas highly connected practices embedded in insulated information environments are associated with poor prescribing performance.
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Affiliation(s)
- Sophie Y Wang
- Hamburg Center for Health Economics, Esplanade 36, 20354, Hamburg, Germany.
- OptiMedis AG, Buchardstraße 17, 20095, Hamburg, Germany.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
| | - Nicolas Larrain
- Hamburg Center for Health Economics, Esplanade 36, 20354, Hamburg, Germany
- Employment, Labour and Social Affairs, Health Division, OECD, 2 Rue André Pascal, Cedex 16, 75775, Paris, France
| | - Oliver Groene
- OptiMedis AG, Buchardstraße 17, 20095, Hamburg, Germany
- Faculty of Management, Economics and Society, University of Witten, Alfred-Herrhausen-Straße 50, 58455, HerdeckeWitten, Germany
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Aboelkhir HAB, Elomri A, ElMekkawy TY, Kerbache L, Elakkad MS, Al-Ansari A, Aboumarzouk OM, El Omri A. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16952. [PMID: 36554837 PMCID: PMC9778793 DOI: 10.3390/ijerph192416952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/24/2022] [Accepted: 11/14/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND The referral process is an important research focus because of the potential consequences of delays, especially for patients with serious medical conditions that need immediate care, such as those with metastatic cancer. Thus, a systematic literature review of recent and influential manuscripts is critical to understanding the current methods and future directions in order to improve the referral process. METHODS A hybrid bibliometric-structured review was conducted using both quantitative and qualitative methodologies. Searches were conducted of three databases, Web of Science, Scopus, and PubMed, in addition to the references from the eligible papers. The papers were considered to be eligible if they were relevant English articles or reviews that were published from January 2010 to June 2021. The searches were conducted using three groups of keywords, and bibliometric analysis was performed, followed by content analysis. RESULTS A total of 163 papers that were published in impactful journals between January 2010 and June 2021 were selected. These papers were then reviewed, analyzed, and categorized as follows: descriptive analysis (n = 77), cause and effect (n = 12), interventions (n = 50), and quality management (n = 24). Six future research directions were identified. CONCLUSIONS Minimal attention was given to the study of the primary referral of blood cancer cases versus those with solid cancer types, which is a gap that future studies should address. More research is needed in order to optimize the referral process, specifically for suspected hematological cancer patients.
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Affiliation(s)
| | - Adel Elomri
- College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar
| | - Tarek Y. ElMekkawy
- Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha 2713, Qatar
| | - Laoucine Kerbache
- College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar
| | - Mohamed S. Elakkad
- Surgical Research Section, Department of Surgery, Hamad Medical Corporation, Doha 3050, Qatar
| | - Abdulla Al-Ansari
- Surgical Research Section, Department of Surgery, Hamad Medical Corporation, Doha 3050, Qatar
| | - Omar M. Aboumarzouk
- Surgical Research Section, Department of Surgery, Hamad Medical Corporation, Doha 3050, Qatar
- College of Medicine, QU-Health, Qatar University, Doha 2713, Qatar
- School of Medicine, Dentistry and Nursing, The University of Glasgow, Glasgow G12 8QQ, UK
| | - Abdelfatteh El Omri
- Surgical Research Section, Department of Surgery, Hamad Medical Corporation, Doha 3050, Qatar
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Beyond patient-sharing: Comparing physician- and patient-induced networks. Health Care Manag Sci 2022; 25:498-514. [PMID: 35650460 PMCID: PMC9474566 DOI: 10.1007/s10729-022-09595-3] [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: 10/10/2020] [Accepted: 03/29/2022] [Indexed: 11/04/2022]
Abstract
The sharing of patients reflects collaborative relationships between various healthcare providers. Patient-sharing in the outpatient sector is influenced by both physicians' activities and patients' preferences. Consequently, a patient-sharing network arises from two distinct mechanisms: the initiative of the physicians on the one hand, and that of the patients on the other. We draw upon medical claims data to study the structure of one patient-sharing network by differentiating between these two mechanisms. Owing to the institutional requirements of certain healthcare systems rather following the Bismarck model, we explore different triadic patterns between general practitioners and medical specialists by applying exponential random graph models. Our findings imply deviation from institutional expectations and reveal structural realities visible in both networks.
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Veinot TC, Senteio CR, Hanauer D, Lowery JC. Comprehensive process model of clinical information interaction in primary care: results of a "best-fit" framework synthesis. J Am Med Inform Assoc 2018; 25:746-758. [PMID: 29025114 PMCID: PMC7646963 DOI: 10.1093/jamia/ocx085] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Revised: 07/18/2017] [Accepted: 08/01/2017] [Indexed: 01/04/2023] Open
Abstract
Objective To describe a new, comprehensive process model of clinical information interaction in primary care (Clinical Information Interaction Model, or CIIM) based on a systematic synthesis of published research. Materials and Methods We used the "best fit" framework synthesis approach. Searches were performed in PubMed, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycINFO, Library and Information Science Abstracts, Library, Information Science and Technology Abstracts, and Engineering Village. Two authors reviewed articles according to inclusion and exclusion criteria. Data abstraction and content analysis of 443 published papers were used to create a model in which every element was supported by empirical research. Results The CIIM documents how primary care clinicians interact with information as they make point-of-care clinical decisions. The model highlights 3 major process components: (1) context, (2) activity (usual and contingent), and (3) influence. Usual activities include information processing, source-user interaction, information evaluation, selection of information, information use, clinical reasoning, and clinical decisions. Clinician characteristics, patient behaviors, and other professionals influence the process. Discussion The CIIM depicts the complete process of information interaction, enabling a grasp of relationships previously difficult to discern. The CIIM suggests potentially helpful functionality for clinical decision support systems (CDSSs) to support primary care, including a greater focus on information processing and use. The CIIM also documents the role of influence in clinical information interaction; influencers may affect the success of CDSS implementations. Conclusion The CIIM offers a new framework for achieving CDSS workflow integration and new directions for CDSS design that can support the work of diverse primary care clinicians.
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Affiliation(s)
- Tiffany C Veinot
- School of Information and School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Charles R Senteio
- Department of Library and Information Science, School of Communication and Information, Rutgers University, New Brunswick, NJ, USA
| | - David Hanauer
- Department of Pediatrics, Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Julie C Lowery
- Center for Clinical Management, Research, VA Ann Arbor Healthcare System, University of Michigan, Ann Arbor, MI, USA
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Kirsh SR, Ho PM, Aron DC. Providing specialty consultant expertise to primary care: an expanding spectrum of modalities. Mayo Clin Proc 2014; 89:1416-26. [PMID: 24889514 DOI: 10.1016/j.mayocp.2014.04.016] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Revised: 04/11/2014] [Accepted: 04/16/2014] [Indexed: 01/18/2023]
Abstract
In most models of health care delivery, the bulk of services are provided in primary care and there is frequent request for the input of specialty consultants. A critical issue for current and future health care systems is the effective and efficient delivery of specialist expertise for clinicians and patients. Input on a patient's care from specialty consultants usually requires a face-to-face visit between the patient and the consultant. New and complementary models of knowledge sharing have emerged. We describe a framework assessment of a spectrum of knowledge-sharing methods in the context of a patient-centered medical home. This framework is based on our experience in the Veterans Health Administration and a purposive review of the literature. These newer modes of specialty consultation include electronic consultation, secure text messaging, telemedicine of various types, and population preemptive consults. In addition to describing these modes of consultation, our framework points to several important areas in which further research is needed to optimize effectiveness.
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Affiliation(s)
- Susan R Kirsh
- Office of Specialty Care, Veterans Health Administration, Washington, DC; Office of Specialty Care/VA HSR&D QUERI Evaluation Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH; Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH
| | - P Michael Ho
- Office of Specialty Care/VA HSR&D QUERI Evaluation Center, Eastern Colorado Health Care System Medical Center, Aurora, CO; Department of Medicine, School of Medicine, University of Colorado Denver, Aurora, CO
| | - David C Aron
- Office of Specialty Care/VA HSR&D QUERI Evaluation Center, Louis Stokes Cleveland VA Medical Center, Cleveland, OH; Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH; Department of Organizational Behavior, Weatherhead School of Management, Cleveland, OH.
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Power C, O'Connor R, Dunne S, Finucane P, Cullen W, Dunne C. An evidence-based assessment of primary care needs in an economically deprived urban community. Ir J Med Sci 2013; 182:457-61. [PMID: 23361634 DOI: 10.1007/s11845-013-0913-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2012] [Accepted: 01/17/2013] [Indexed: 11/28/2022]
Abstract
BACKGROUND As healthcare and longevity improve and fertility rates decline, we see a demographic shift towards a predominantly elderly population. Because ageing brings its own physiological changes and complications, the need arises for practical and feasible approaches in providing the healthcare required by this population. With government strategy promoting enhanced community-based healthcare, the development of primary care infrastructure should reflect population needs. AIMS To describe the profile of older patients attending a general practice in an underprivileged urban setting, specifically initial medical presentation, referrals for secondary care, and the medicines prescribed to them. To thereby enhance our understanding of the primary care requirements of elderly people in this setting. METHODS The anonymised records of an older patient cohort (n=427, age>55 years) that presented to a General Practice over a 12-month period were retrospectively analysed to determine the nature of the clinical encounters, subsequent referral patterns and drugs prescribed. RESULTS There were 3,448 discrete clinical encounters (mean=8.0 per patient), predominantly for respiratory conditions, leading to 401 issued scripts and to 216 patients being referred for secondary care. Women were referred more often than men. There was a notable need for specialised dietary advice and drug prescribing was often complex. CONCLUSION This study provides evidence of primary care needs in an economically deprived area of an Irish city highlighting the complexity of associated prescribing and secondary care referrals in this setting.
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Affiliation(s)
- C Power
- Centre for Interventions in Infection, Inflammation and Immunity (4i), Graduate Entry Medical School, University of Limerick, Limerick, Ireland
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