7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Evaluation of a unique and innovative diabetes care model in primary care in Ontario, Canada: protocol for a multiple-methods study with a convergent parallel design

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          The growth and complexity of diabetes are exceeding the capacity of family physicians, resulting in the demand for community-based, interprofessional, primary care-led transition clinics. The Primary Care Diabetes Support Programme (PCDSP) in London, Ontario, is an innovative approach to diabetes care for high-risk populations, such as medically or socially complex and unattached patients. In this study, we will employ a quadruple-aim approach to evaluate the health system impacts of the PCDSP.

          Methods and analysis

          We will use multiple methods through a convergent parallel design in this project across five unique studies: a case study, a patient study, a provider study, a complications study and a cost-effectiveness study. The project will be conducted in a dedicated stand-alone clinic specialising in chronic disease management, specifically focusing on diabetes care. Participants will include clinic staff, administrators, family physicians, specialists and patients with type 1 or type 2 diabetes who received care at the clinic between 2011 and 2023. The project design will define the intervention, support replication at other sites or for other chronic diseases and address each of the quadruple aims and equity. Following the execution of the five individual studies, we will build a business case by integrating the results. Data will be analysed using both qualitative (content analysis and thematic analysis) and quantitative techniques (descriptive statistics and multiple logistic regression).

          Ethics and dissemination

          We received approval from the research ethics boards at Western University (reference ID: 2023–1 21 766; 2023–1 22 326) and Lawson Health Research Institute (reference ID: R-23–202). A privacy review was completed by St. Joseph’s Healthcare Corporation. The findings will be shared among PCDSP staff and patients, stakeholders, academic researchers and the public through stakeholder sessions, conferences, peer-reviewed publications, infographics, posters, media interviews, social media and online discussions. For the patient and provider study, all participants will be asked to provide consent and are free to withdraw from the study, without penalty, until the data are combined. Participants will not be identified in any report or presentation except in the case study, for which, given the number of PCDSP providers, we will seek explicit consent to identify them.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Book: not found

          Research Design : Qualitative, Quantitative, and Mixed Methods Approaches

          The eagerly anticipated Fourth Edition of the title that pioneered the comparison of qualitative, quantitative, and mixed methods research design is here! For all three approaches, Creswell includes a preliminary consideration of philosophical assumptions, a review of the literature, an assessment of the use of theory in research approaches, and refl ections about the importance of writing and ethics in scholarly inquiry. He also presents the key elements of the research process, giving specifi c attention to each approach. The Fourth Edition includes extensively revised mixed methods coverage, increased coverage of ethical issues in research, and an expanded emphasis on worldview perspectives.
            Bookmark
            • Record: found
            • Abstract: found
            • Book: not found

            Using Multivariate Statistics

            This text takes a practical approach to multivariate data analysis, with an introductionto the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge ofhigher-level mathematics. *A new chapter on survival analysis (Ch. 15) allows students to analyze data where the outcome is time until something happens. This is very popular in biomedical research. *A new chapter on time series analysis (Ch. 16) encourages students to learn to model patterns in data gathered over many trials and to test for the effectiveness on an intervention (
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Accuracy of administrative databases in identifying patients with hypertension

              Background Traditionally, the determination of the occurrence of hypertension in patients has relied on costly and time-consuming survey methods that do not allow patients to be followed over time. Objectives To determine the accuracy of using administrative claims data to identify rates of hypertension in a large population living in a single-payer health care system. Methods Various definitions for hypertension using administrative claims databases were compared with 2 other reference standards: (1) data obtained from a random sample of primary care physician offices throughout the province, and (2) self-reported survey data from a national census. Results A case-definition algorithm employing 2 outpatient physician billing claims for hypertension over a 3-year period had a sensitivity of 73% (95% confidence interval [CI] 69%–77%), a specificity of 95% (CI 93%–96%), a positive predictive value of 87% (CI 84%–90%), and a negative predictive value of 88% (CI 86%–90%) for detecting hypertensive adults compared with physician-assigned diagnoses. Compared with self-reported survey data, the algorithm had a sensitivity of 64% (CI 63%–66%), a specificity of 94%(CI 93%–94%), a positive predictive value of 77% (76%–78%), and negative predictive value of 89% (CI 88%–89%). When this algorithm was applied to the entire province of Ontario, the age- and sex-standardized prevalence of hypertension in adults older than 35 years increased from 20% in 1994 to 29% in 2002. Conclusions It is possible to use administrative data to accurately identify from a population sample those patients who have been diagnosed with hypertension. Given that administrative data are already routinely collected, their use is likely to be substantially less expensive compared with serial cross-sectional or cohort studies for surveillance of hypertension occurrence and outcomes over time in a large population.
                Bookmark

                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
                2024
                10 June 2024
                : 14
                : 6
                : e088737
                Affiliations
                [1 ] departmentDepartment of Family Medicine, Schulich School of Medicine and Dentistry , Ringgold_6221University of Western Ontario , London, Ontario, Canada
                [2 ] departmentDepartment of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry , Ringgold_6221University of Western Ontario , London, Ontario, Canada
                [3 ] departmentPrimary Care Diabetes Support Program , Ringgold_25472St. Joseph's Health Care London , London, Ontario, Canada
                [4 ] departmentFaculty of Health Sciences , Ringgold_1763Simon Fraser University , Burnaby, British Columbia, Canada
                [5 ] departmentSchool of Pharmacy , Ringgold_7512Memorial University of Newfoundland , St. John's, Newfoundland and Labrador, Canada
                [6 ] departmentDepartments of Family Medicine and Public Health Sciences, School of Medicine, Faculty of Health Sciences , Ringgold_4257Queen's University , Kingston, Ontario, Canada
                [7 ] departmentSchool of Nursing, Faculty of Health Sciences , Ringgold_6221University of Western Ontario , London, Ontario, Canada
                [8 ] departmentSchool of Health Studies, Faculty of Health Sciences , Ringgold_415309University of Western Ontario , London, Ontario, Canada
                Author notes
                [Correspondence to ] Maria Mathews; maria.mathews@ 123456schulich.uwo.ca
                Author information
                http://orcid.org/0000-0002-2908-0804
                Article
                bmjopen-2024-088737
                10.1136/bmjopen-2024-088737
                11168156
                38858140
                4d27d9a3-eeeb-4216-8910-3c5a2045a8ba
                © Author(s) (or their employer(s)) 2024. 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 May 2024
                : 30 May 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: TRC-184531
                Categories
                Diabetes and Endocrinology
                1506
                1843
                Protocol
                Custom metadata
                unlocked

                Medicine
                diabetes & endocrinology,primary care,health policy,health services,health care costs,chronic disease

                Comments

                Comment on this article