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      Taxonomy of advanced access practice profiles among family physicians, nurse practitioners and nurses in university-affiliated team-based primary healthcare clinics in Quebec

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          Abstract

          Objectives

          The advanced access model is highly recommended to improve timely access to primary healthcare (PHC). However, its adoption varies among PHC providers. We aim to identify the advanced access profiles of PHC providers.

          Design

          A cross-sectional study was conducted between October 2019 and March 2020. Latent class analysis (LCA) measures were used to identify PHC provider profiles based on 14 variables, 2 organisational context characteristics (clinical size and geographical area) and 12 advanced access strategies.

          Setting and participants

          All family physicians, nurse practitioners and nurses working in the 49 university-affiliated team-based PHC clinics in Quebec, Canada, were invited, of which 35 participated.

          Primary outcome measure

          The LCA was based on 335 respondents. We determined the optimal number of profiles using statistical criteria (Akaike information criterion, Bayesian information criterion) and qualitatively named each of the six advanced access profiles.

          Results

          (1) Low supply and demand planification (25%) was characterised by the smallest proportion of strategies used to balance supply and demand. (2) Reactive interprofessional collaboration (25%) was characterised by high collaboration and long opening periods for appointment scheduling. (3) Structured interprofessional collaboration (19%) was characterised by high use of interprofessional team meetings. (4) Small urban delegating practices (13%) was exclusively composed of family physicians and characterised by task delegation to other PHC providers on the team. (5) Comprehensive practices in urban settings (13%) was characterised by including as many services as possible on each visit. (6) Rural agility (4%) was characterised by the highest uptake of advanced access strategies based on flexibility, including adjusting the schedule to demand and having a large number of open-slot appointments available in the next 48 hours.

          Conclusion

          The different patterns of advanced access strategy adoption confirm the need for training to be tailored to individuals, categories of PHC providers and contexts.

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          Most cited references51

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          Estimating the Dimension of a Model

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            The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

            Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover 3 main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors, to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. Eighteen items are common to all 3 study designs and 4 are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available at http://www.annals.org and on the Web sites of PLoS Medicine and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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              An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2023
                12 December 2023
                : 13
                : 12
                : e074681
                Affiliations
                [1 ]departmentDepartment of Community Health , Ringgold_7321University of Sherbrooke , Longueuil, Quebec, Canada
                [2 ]departmentDepartment of Family Medecine and Emergency Medicine , Ringgold_12370University of Sherbrooke , Longueuil, Quebec, Canada
                [3 ]departmentFaculty of Nursing , Ringgold_63678University of Montreal , Montreal, Québec, Canada
                [4 ]departmentNational School of Public Administration , ENAP , Montreal, Québec, Canada
                [5 ]departmentSchool of Nursing Sciences , Ringgold_7321University of Sherbrooke , Longueuil, Quebec, Canada
                [6 ]departmentDepartment of Family Medicine , McGill University , Montreal, Québec, Canada
                [7 ]departmentDepartment of Family Medicine and Emergency Medicine , Ringgold_4440Laval University , Québec, Québec, Canada
                Author notes
                [Correspondence to ] Dr Mylaine Breton; mylaine.breton@ 123456usherbrooke.ca
                Author information
                http://orcid.org/0000-0001-5713-9618
                http://orcid.org/0000-0001-7387-6511
                http://orcid.org/0000-0002-2881-4714
                http://orcid.org/0000-0001-6192-183X
                http://orcid.org/0000-0003-2885-6807
                http://orcid.org/0000-0001-6140-9916
                http://orcid.org/0000-0002-6873-1681
                http://orcid.org/0000-0002-2296-6696
                Article
                bmjopen-2023-074681
                10.1136/bmjopen-2023-074681
                10729211
                38086598
                9acae4e3-1256-4d8b-a3f1-b8f11986f02b
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 14 April 2023
                : 30 November 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: #399757
                Categories
                Health Services Research
                1506
                1704
                Original research
                Custom metadata
                unlocked

                Medicine
                primary health care,organisation of health services,health services accessibility
                Medicine
                primary health care, organisation of health services, health services accessibility

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