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Acuity-Based Access Time Evaluation in Primary Care: A Case Study of an Ontario Clinic

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Health Care Systems Engineering (ICHCSE 2019)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 316))

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Abstract

Measuring access to primary care is complicated due to a variety of perspectives. In Ontario, Canada, one of the main metrics currently used to evaluate access is the proportion of patients who are able to obtain a same- or next-day appointment with a primary care provider. However, this metric does not accurately reflect patients who do not medically require same- or next-day access. In this study, we demonstrate the need for developing more detailed metrics which capture the urgency of needed care via a case study of an Ontario primary care clinic. Our results show that using the standard metric, the clinic’s performance appears unsatisfactory, while using the more detailed acuity-based metrics, the clinic is shown to be performing well for non-urgent requests.

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References

  1. Balasubramanian, H., Banerjee, R., Denton, B., Naessens, J., Stahl, J.: Improving clinical access and continuity through physician panel redesign. J. Gen. Intern. Med. 25(10), 1109–1115 (2010)

    Article  Google Scholar 

  2. Ben-Gal, I.: Outlier detection. In: Data Mining and Knowledge Discovery Handbook, pp. 131–146. Springer (2005)

    Google Scholar 

  3. Bitton, A., Ratcliffe, H.L., Veillard, J.H., Kress, D.H., Barkley, S., Kimball, M., Secci, F., Wong, E., Basu, L., Taylor, C., et al.: Primary health care as a foundation for strengthening health systems in low-and middle-income countries. J. Gen. Intern. Med. 32(5), 566–571 (2017)

    Article  Google Scholar 

  4. Canadian Association of Emergency Physicians. The Canadian Triage & Acuity Scale (CTAS). http://ctas-phctas.ca/?page_id=17. Accessed 2nd Mar. 2019

  5. Canadian Institute for Health Information. Commonwealth fund survey 2016: Chartbook. Technical report (2017)

    Google Scholar 

  6. CIHI.: National health expenditure trends, 1975 to 2016. Canadian Institute for Health Information (2016)

    Google Scholar 

  7. Déry, J., Ruiz, A., Routhier, F., Gagnon, M.-P., Côté, A., Ait-Kadi, D., Bélanger, V., Deslauriers, S., Lamontagne, M.-E.: Patient prioritization tools and their effectiveness in non-emergency healthcare services: a systematic review protocol. Syst. Rev. 8(1), 78 (2019)

    Article  Google Scholar 

  8. Globerman, S., Barua, B., Hasan, S.: The Supply of Physicians in Canada: Projections and Assessment (2018). http://www.fraserinstitute.org

  9. Haggerty, J., Burge, F., Lévesque, J.-F., Gass, D., Pineault, R., Beaulieu, M.-D., Santor, D.: Operational definitions of attributes of primary health care: consensus among Canadian experts. Ann. Family Med. 5(4), 336–344 (2007)

    Article  Google Scholar 

  10. Harding, K., Taylor, N.:. Triage in non-emergency services. In: Patient Flow: Reducing Delay in Healthcare Delivery, pp. 229–250. Springer (2013)

    Google Scholar 

  11. Health Quality Ontario. Measuring up 2018. Technical report (2018)

    Google Scholar 

  12. Hubert, M., Vandervieren, E.: An adjusted boxplot for skewed distributions. Comput. Stat. Data Anal. 52(12), 5186–5201 (2008)

    Article  MathSciNet  Google Scholar 

  13. Iserson, K.V., Moskop, J.C.: Triage in medicine, part i: concept, history, and types. Ann. Emerg. Med. 49(3), 275–281 (2007)

    Article  Google Scholar 

  14. Jones, W., Elwyn, G., Edwards, P., Edwards, A., Emmerson, M., Hibbs, R.: Measuring access to primary care appointments: a review of methods. BMC Family Pract. 4(1), 8 (2003)

    Article  Google Scholar 

  15. Laberge, M., Pang, J., Walker, K., Wong, S., Hogg, W., Wodchis, W.P., et al.: QUALICOPC (Quality and Costs of Primary Care) Canada: a focus on the aspects of primary care most highly rated by current patients of primary care practices (2014)

    Google Scholar 

  16. Llanwarne, N.R., Abel, G.A., Elliott, M.N., Paddison, C.A.M., Lyratzopoulos, G., Campbell, J.L., Roland, M.: Relationship between clinical quality and patient experience: analysis of data from the english quality and outcomes framework and the national GP patient survey. Ann. Family Med. 11(5), 467–472 (2013)

    Article  Google Scholar 

  17. Ozen, A., Balasubramanian, H.: The impact of case mix on timely access to appointments in a primary care group practice. Health Care Manag. Sci. 16(2), 101–118 (2013)

    Article  Google Scholar 

  18. Premji, K.: In Our Rush to Offer “McMedicine”, Do We Even Know What Patients Really Want? (2018). https://healthydebate.ca/opinions/same-day-access-family-doctor

  19. Premji, K., Ryan, B.L., Hogg, W.E., Wodchis, W.P.: Patients’ perceptions of access to primary care: Analysis of the QUALICOPC patient experiences survey. Can. Family Phys. 64(3), 212–220 (2018)

    Google Scholar 

  20. Rao, M., Clarke, A., Sanderson, C., Hammersley, R.: Patients’ own assessments of quality of primary care compared with objective records based measures of technical quality of care: cross sectional study. BMJ 333(7557), 19 (2006)

    Article  Google Scholar 

  21. Starfield, B., Weiner, J., Mumford, L., Steinwachs, D.: Ambulatory care groups: a categorization of diagnoses for research and management. Health Serv. Res. 26(1), 53 (1991)

    Google Scholar 

  22. Wang, W.-Y., Gupta, D.: Adaptive appointment systems with patient preferences. Manuf. Serv. Oper. Manag. 13(3), 373–389 (2011)

    Article  Google Scholar 

  23. Wong, S.T., Chau, L.W., Hogg, W., Teare, G.F., Miedema, B., Breton, M., Aubrey-Bassler, K., Katz, A., Burge, F., Boivin, A., et al.: An international cross-sectional survey on the quality and costs of primary care (QUALICO-PC): recruitment and data collection of places delivering primary care across Canada. BMC Family Pract. 16(1), 20 (2015)

    Article  Google Scholar 

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Correspondence to Nazanin Aslani .

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Aslani, N., Fazileh, F., Mutasingwa, D., Terekhov, D. (2020). Acuity-Based Access Time Evaluation in Primary Care: A Case Study of an Ontario Clinic. In: Bélanger, V., Lahrichi, N., Lanzarone, E., Yalçındağ, S. (eds) Health Care Systems Engineering. ICHCSE 2019. Springer Proceedings in Mathematics & Statistics, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-030-39694-7_22

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