Interprofessional teams with and without nurse practitioners and the level of adherence to best practice guidelines in cardiac surgery: A retrospective study.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Source:
      Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 9207302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2702 (Electronic) Linking ISSN: 09621067 NLM ISO Abbreviation: J Clin Nurs Subsets: MEDLINE
    • Publication Information:
      Original Publication: Oxford ; Boston : Blackwell Scientific Publications, c1992-
    • Subject Terms:
    • Abstract:
      Aim: To examine the level of adherence to best-practice guidelines of interprofessional teams with acute care nurse practitioners (ACNPs) compared to interprofessional teams without ACNPs.
      Design: A retrospective observational study was conducted in 2023.
      Method: A retrospective cohort was created including 280 patients who underwent a coronary artery bypass graft and/or a valve repair and hospitalised in a cardiac surgery unit of a university affiliated hospital in Québec (Canada) between 1 January 2019 to 31 January 2020. The level of adherence to best-practice guidelines was measured from a composite score in percentage. The composite score was created from a newly developed tool including 99 items across six categories (patient information, pharmacotherapy, laboratory tests, post-operative assessment, patient and interprofessional teams' characteristics). Multivariate linear and logistic regression models were computed to examine the effect of interprofessional teams with ACNPs on the level of adherence to best-practice guidelines.
      Results: Most of the patients of the cohort were male and underwent a coronary artery bypass graft procedure. Patients under the care of interprofessional teams with ACNP were 1.72 times more likely to reach a level of adherence higher than 80% compared to interprofessional teams without ACNPs and were 2.29 times more likely to be within the highest quartile of the scores for the level of adherence to best-practice guidelines of the cohort.
      Impact: This study provides empirical data supporting the benefits of ACNP practice for patients, interprofessional teams and healthcare organisations.
      Relevance for Practice: Our findings identify the important contributions of interprofessional teams that include ACNPs using a validated instrument, as well as their contribution to the delivery of high quality patient care.
      Reporting Method: This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for reporting observational studies guidelines.
      Patient or Public Contribution: No patient or public contribution.
      (© 2024 The Authors. Journal of Clinical Nursing published by John Wiley & Sons Ltd.)
    • References:
      Aiken, L. H., Sloane, D. M., Brom, H. M., Todd, B. A., Barnes, H., Cimiotti, J. P., Cunningham, R. S., & McHugh, M. D. (2021). Value of nurse practitioner inpatient hospital staffing. Medical Care, 59(10), 857–863.
      Armstrong, R. A. (2014). When to use the Bonferroni correction. Ophthalmic and Physiological Optics, 34(5), 502–508.
      Audet, L.‐A., Lavoie‐Tremblay, M., Tchouaket, É., & Kilpatrick, K. (2023a). Development of a measure of adherence to best practice guidelines by interprofessional teams with nurse practitioners in cardiac surgery. Canadian Journal of Cardiovascular Nursing. Under press.
      Audet, L.‐A., Lavoie‐Tremblay, M., Tchouaket, É., & Kilpatrick, K. (2023b). The level of adherence to best‐practice guidelines by interprofessional teams with and without acute care nurse practitioners in cardiac surgery: A study protocol. PLoS One, 18(3), e0282467.
      Audet, L.‐A., Paquette, L., Bordeleau, S., Lavoie‐Tremblay, M., & Kilpatrick, K. (2021). The association between advanced practice nursing roles and outcomes in adults following cardiac surgery: A systematic review of randomized controlled trials. International Journal of Nursing Studies, 122, 104028.
      Benjamin, E. J., Virani, S. S., Callaway, C. W., Chamberlain, A. M., Chang, A. R., Cheng, S., Chiuve, S. E., Cushman, M., Delling, F. N., & Deo, R. (2018). Heart disease and stroke statistics—2018 update: A report from the American Heart Association. Circulation, 137(12), e67–e492.
      Bourgon Labelle, J., Farand, P., Vincelette, C., Dumont, M., Le Blanc, M., & Rochefort, C. M. (2020). Validation of an algorithm based on administrative data to detect new onset of atrial fibrillation after cardiac surgery. BMC Medical Research Methodology, 20(1), 1–9.
      Burnier, M., & Egan, B. M. (2019). Adherence in hypertension: A review of prevalence, risk factors, impact, and management. Circulation Research, 124(7), 1124–1140.
      Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Journal of Chronic Diseases, 40(5), 373–383.
      Chicco, D., Warrens, M. J., & Jurman, G. (2021). The coefficient of determination R‐squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation. PeerJ Computer Science, 7, e623.
      Dubois, C.‐A., D'amour, D., Tchouaket, E., Clarke, S., Rivard, M., & Blais, R. (2013). Associations of patient safety outcomes with models of nursing care organization at unit level in hospitals. International Journal for Quality in Health Care, 25(2), 110–117.
      Engelman, D. T., Ali, W. B., Williams, J. B., Perrault, L. P., Reddy, V. S., Arora, R. C., Roselli, E. E., Khoynezhad, A., Gerdisch, M., & Levy, J. H. (2019). Guidelines for perioperative care in cardiac surgery: Enhanced recovery after surgery society recommendations. JAMA Surgery, 154(8), 755–766.
      Feder, S. L. (2018). Data quality in electronic health records research: Quality domains and assessment methods. Western Journal of Nursing Research, 40(5), 753–766.
      Gurses, A. P., Marsteller, J. A., Ozok, A. A., Xiao, Y., Owens, S., & Pronovost, P. J. (2010). Using an interdisciplinary approach to identify factors that affect clinicians' compliance with evidence‐based guidelines. Critical Care Medicine, 38, S282–S291.
      International Council of Nurses. (2020). Guidelines on advanced practice nursing. http://www.icn.ch/system/files/documents/2020‐04/ICN_APN%20Report_EN_WEB.pdf.
      Khalil, V., Danninger, M., Wang, W., & Khalil, H. (2017). An audit of adherence to heart failure guidelines in an Australian hospital: A pharmacist perspective. Journal of Evaluation in Clinical Practice, 23(6), 1195–1202.
      Kilpatrick, K., Jabbour, M., Tchouaket, É., Acorn, M., Donald, F., & Hains, S. (2019). Implementing primary healthcare nurse practitioners in long‐term care teams: A qualitative descriptive study. Journal of Advanced Nursing, 75(6), 1306–1315.
      Kilpatrick, K., Tchouaket, E., Carter, N., Bryant‐Lukosius, D., & DiCenso, A. (2016). Structural and process factors that influence clinical nurse specialist role implementation. Clinical Nurse Specialist, 30(2), 89–100.
      Kleinpell, R., Cook, M. L., & Padden, D. L. (2018). American Association of Nurse Practitioners national nurse practitioner sample survey: Update on acute care nurse practitioner practice. Journal of the American Association of Nurse Practitioners, 30(3), 140–149.
      Kleinpell, R. M., Grabenkort, W. R., Kapu, A. N., Constantine, R., & Sicoutris, C. (2019). Nurse practitioners and physician assistants in acute and critical care: A concise review of the literature and data 2008–2018. Critical Care Medicine, 47(10), 1442–1449.
      López‐Campos, J. L., Gallego, E. Q., & Hernández, L. C. (2019). Status of and strategies for improving adherence to COPD treatment. International Journal of Chronic Obstructive Pulmonary Disease, 14, 1503–1515.
      Mondal, S., Bergbower, E. A., Cheung, E., Grewal, A. S., Ghoreishi, M., Hollander, K. N., Anders, M. G., Taylor, B. S., & Tanaka, K. A. (2022). Role of cardiac anesthesiologists in intraoperative Enhanced Recovery After Cardiac Surgery (ERACS) protocol: A retrospective single‐center study analyzing preliminary results of a yearlong ERACS protocol implementation. Journal of Cardiothoracic and Vascular Anesthesia, 37(12), 2450–2460.
      Needleman, J., Buerhaus, P., Pankratz, V. S., Leibson, C. L., Stevens, S. R., & Harris, M. (2011). Nurse staffing and inpatient hospital mortality. New England Journal of Medicine, 364(11), 1037–1045.
      Norful, A. A., Ye, S., Van Der‐Biezen, M., & Poghosyan, L. (2018). Nurse practitioner–physician comanagement of patients in primary care. Policy, Politics & Nursing Practice, 19(3–4), 82–90.
      Oke, J., Akinkunmi, W., & Etebefia, S. (2019). Use of correlation, tolerance and variance inflation factor for multicollinearity test. Global Scientific Journals, 7(5), 652–659.
      Ravi, B., Pincus, D., Wasserstein, D., Govindarajan, A., Huang, A., Austin, P. C., Jenkinson, R., Henry, P. D., Paterson, J. M., & Kreder, H. J. (2018). Association of overlapping surgery with increased risk for complications following hip surgery: A population‐based, matched cohort study. JAMA Internal Medicine, 178(1), 75–83.
      Reich, E. N., Then, K. L., & Rankin, J. A. (2018). Barriers to clinical practice guideline implementation for septic patients in the emergency department. Journal of Emergency Nursing, 44(6), 552–562.
      Rochefort, C. M., Labelle, J. B., & Farand, P. (2022). Nurse staffing practices and postoperative atrial fibrillation among cardiac surgery patients: A multisite cohort study. Canadian Journal of Cardiology Open, 4(1), 37–46.
      Shahian, D. M., Badhwar, V., Kurlansky, P. A., Bowdish, M. E., Lobdell, K. W., Furnary, A. P., Thourani, V. H., Jacobs, J. P., von Ballmoos, M. C. W., & Kim, K. M. (2022). The STS participant‐level, multiprocedural composite measure for adult cardiac surgery. The Annals of Thoracic Surgery, 114(2), 467–475.
      Shipe, M. E., Deppen, S. A., Farjah, F., & Grogan, E. L. (2019). Developing prediction models for clinical use using logistic regression: An overview. Journal of Thoracic Disease, 11(Suppl. 4), S574–S584.
      Smigorowsky, M. J., Sebastianski, M., Sean McMurtry, M., Tsuyuki, R. T., & Norris, C. M. (2020). Outcomes of nurse practitioner‐led care in patients with cardiovascular disease: A systematic review and meta‐analysis. Journal of Advanced Nursing, 76(1), 81–95.
      Sunkara, P. R., Islam, T., Bose, A., Rosenthal, G. E., Chevli, P., Jogu, H., Tk, L. A., Huang, C.‐C., Chaudhary, D., & Beekman, D. (2020). Impact of structured interdisciplinary bedside rounding on patient outcomes at a large academic health centre. BMJ Quality and Safety, 29(7), 569–575.
      Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson Education.
      Terwee, C. B., Prinsen, C., Chiarotto, A., De Vet, H., Bouter, L. M., Alonso, J., Westerman, M. J., Patrick, D. L., & Mokkink, L. B. (2018). COSMIN methodology for assessing the content validity of PROMs–user manual. VU University Medical Center. https://cosmin.nl/wp‐content/uploads/COSMIN‐methodology‐for‐content‐validity‐user‐manual‐v1.pdf.
      Tremblay, J.‐A., Laramée, P., Lamarche, Y., Denault, A., Beaubien‐Souligny, W., Frenette, A.‐J., Kontar, L., Serri, K., & Charbonney, E. (2020). Potential risks in using midodrine for persistent hypotension after cardiac surgery: A comparative cohort study. Annals of Intensive Vare, 10(1), 1–8.
      Von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, S. (2007). The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Annals of Internal Medicine, 147(8), 573–577.
      World Health Organization. (2020). State of the world's nursing 2020: Investing in education, jobs and leadership. World Health Organization. https://www.who.int/publications/i/item/9789240003279.
      Yenipinar, A., Şeyma, K., Çanga, D., & Fahrettin, K. (2019). Determining sample size in logistic regression with G‐Power. Black Sea Journal of Engineering and Science, 2(1), 16–22.
      Zhou, S., Zhang, X.‐H., Zhang, Y., Gong, G., Yang, X., & Wan, W.‐H. (2022). The age‐adjusted Charlson comorbidity index predicts prognosis in elderly cancer patients. Cancer Management and Research, 14, 1683–1691.
    • Grant Information:
      Réseau de recherche portant sur les interventions en sciences infirmières du Québec
    • Contributed Indexing:
      Keywords: acute care nurse practitioner; best practice guidelines; cardiac surgery; retrospective study
    • Publication Date:
      Date Created: 20240314 Date Completed: 20241010 Latest Revision: 20241010
    • Publication Date:
      20241010
    • Accession Number:
      10.1111/jocn.17117
    • Accession Number:
      38481044