Revenue effects of practice nurse-led care for chronic diseases
Richard A. Iles A , Diann S. Eley B I , Desley G. Hegney C D , Elizabeth Patterson E , Jacqui Young F , Christopher Del Mar G , Robyn Synnott B and Paul A. Scuffham HA School of Accounting, Finance and Economics, Griffith University, 170 Kessels Road, Nathan, Qld 4111, Australia. Email: r.iles@griffith.edu.au
B School of Medicine, The University of Queensland, 288 Herston Road, Brisbane, Qld 4006, Australia. Email: r.synnott@uq.edu.au
C Curtin University, School of Nursing and Midwifery, GPO Box U1987, Perth, WA 6845, Australia. Email: Desley.Hegney@curtin.edu.au
D Sir Charles Gairdner Hospital, Perth, WA 6845, Australia.
E Department of Nursing, School of Health Sciences, The University of Melbourne, Room 606, Level 6, Allan Gilbert Building, 161 Barry Street, Melbourne, Vic. 3010, Australia. Email: elizabeth.patterson@unimelb.edu.au
F School of Nursing and Midwifery, The University of Queensland, Herston, Qld 4111, Australia. Email: jacqui.young@uq.edu.au
G Centre for Research in Evidence Based Practice, Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Qld 4229, Australia. Email: cdelmar@bond.edu.au
H Centre for Applied Health Economics, School of Medicine & Population and Social Health Research Program, Griffith Health Institute, Griffith University, Nathan, Qld 4111, Australia. Email: p.scuffham@griffith.edu.au
I Corresponding author. Email: d.eley@uq.edu.au
Australian Health Review 38(4) 363-369 https://doi.org/10.1071/AH13171
Submitted: 11 September 2013 Accepted: 11 April 2014 Published: 8 July 2014
Journal Compilation © AHHA 2014
Abstract
Objective To determine the economic feasibility in Australian general practices of using a practice nurse (PN)-led care model of chronic disease management.
Methods A cost-analysis of item numbers from the Medicare Benefit Schedule (MBS) was performed in three Australian general practices, one urban, one regional and one rural. Patients (n =254; >18 years of age) with chronic conditions (type 2 diabetes, hypertension, ischaemic heart disease) but without unstable or major health problems were randomised into usual general practitioner (GP) or PN-led care for management of their condition over a period of 12 months. After the 12-month intervention, total MBS item charges were evaluated for patients managed for their stable chronic condition by usual GP or PN-led care. Zero-skewness log transformation was applied to cost data and log-linear regression analysis was undertaken.
Results There was an estimated A$129 mean increase in total MBS item charges over a 1-year period (controlled for age, self-reported quality of life and geographic location of practice) associated with PN-led care. The frequency of GP and PN visits varied markedly according to the chronic disease.
Conclusions Medicare reimbursements provided sufficient funding for general practices to employ PNs within limits of workloads before the new Practice Nurse Incentive Program was introduced in July 2012.
What is known about the topic? The integration of practice nurses (PN) into the Australian health system is limited compared with the UK and other parts of Europe. There are known patient benefits of PNs collaborating with general practitioners, especially in chronic disease management, but the benefits from a financial perspective are less clear.
What does this paper add? The cost-analysis of a PN-led model of chronic disease management in Australian general practice is reported, providing an indication of the financial impact of using PNs in primary healthcare.
What are the implications for practitioners? Taking into account general practice and individual PN workloads, sufficient funding for employment of PNs is provided by Medicare reimbursements.
References
[1] Wright FL, Wiles RA, Moher M. Patients’ and practice nurses’ perceptions of secondary preventive care for established ischaemic heart disease: a qualitative study. J Clin Nurs 2001; 10 180–8.| Patients’ and practice nurses’ perceptions of secondary preventive care for established ischaemic heart disease: a qualitative study.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD38%2FptFykuw%3D%3D&md5=a07a83cc13abbc86e2e6ad0008c1aefeCAS | 11820338PubMed |
[2] Iglesias B, Ramos F, Serrano B, Serrano B, Fàbregas M, Sánchez C, García MJ, Cebrian HM, Aragonés R, Casajuana J, Esgueva N, PIPA Group A randomized controlled trial of nurses vs. doctors in the resolution of acute disease of low complexity in primary care. J Adv Nurs 2013; 69 2446–57.
| A randomized controlled trial of nurses vs. doctors in the resolution of acute disease of low complexity in primary care.Crossref | GoogleScholarGoogle Scholar | 23517494PubMed |
[3] Houweling ST, Kleefstra N, van Hateren KJJ. Can diabetes management be safely transferred to practice nurses in a primary care setting? A randomised controlled trial. J Clin Nurs 2011; 20 1264–72.
| Can diabetes management be safely transferred to practice nurses in a primary care setting? A randomised controlled trial.Crossref | GoogleScholarGoogle Scholar | 21401764PubMed |
[4] Medicare Australia. Practice Nurse Incentive Program guidelines. Canberra: Department of Human Services; 2012. Available at http://www.medicareaustralia.gov.au/provider/incentives/files/9689-1208en.pdf [verified 19 May 2014].
[5] Eley D, Del Mar C, Patterson E, Synnott RL, Baker PG, Hegney D. A nurse led model of chronic disease care: an interim report. Aust Fam Physician 2008; 37 1030–2.
| 19142279PubMed |
[6] Ehrlich C, Kendall E, Muenchberger H. Practice-based chronic condition care coordination: challenges and opportunities. Aust J Primary Health 2011; 17 72–8.
| Practice-based chronic condition care coordination: challenges and opportunities.Crossref | GoogleScholarGoogle Scholar |
[7] McCarthy G, Cornally N, Moran J, Courtney M. Practice nurses and general practitioners: perspectives on the role and future development of practice nursing in Ireland. J Clin Nurs 2012; 21 2286–95.
| Practice nurses and general practitioners: perspectives on the role and future development of practice nursing in Ireland.Crossref | GoogleScholarGoogle Scholar | 22788562PubMed |
[8] Hefford M, Love T, Cumming J, Finlayson M, Raymont A. The financial impact of clinical task substitution between practice nurses and GPs in New Zealand primary care centres. N Z Med J 2011; 124 59–64.
| 21963926PubMed |
[9] Vallejo-Torres L, Morris S. Factors associated with the use of primary care services: the role of practice nurses. Eur J Health Econ 2011; 12 373–81.
| Factors associated with the use of primary care services: the role of practice nurses.Crossref | GoogleScholarGoogle Scholar | 20496159PubMed |
[10] Commonwealth Department of Health and Ageing. Medicare benefits schedule book, 1 November 2007. Canberra: Australian Government; 2007.
[11] Eley D, Patterson E, Young J, Fahey PP, Del Mar CB, Hegney DG, Synnott RL, Mahomed R, Baker PG, Scuffham PA. Outcomes and opportunities: a nurse-led model of chronic disease management in Australian general practice. Aust J Primary Health 2013; 19 150–8.
| Outcomes and opportunities: a nurse-led model of chronic disease management in Australian general practice.Crossref | GoogleScholarGoogle Scholar |
[12] Viney R, Norman R, King MT, Cronin P, Street DJ, Knox S, Ratcliffe J. Time trade-off derived EQ-5D weights for Australia. Value Health 2011; 14 928–36.
| Time trade-off derived EQ-5D weights for Australia.Crossref | GoogleScholarGoogle Scholar | 21914515PubMed |
[13] Commonwealth Department of Health and Ageing. Medicare benefits schedule book, 1 November 2009. Canberra: Australian Government; 2009.
[14] Manning W, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ 2001; 20 461–94.
| Estimating log models: to transform or not to transform?Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3MvhvVOksw%3D%3D&md5=84624aa575db29cdc165f966abecd9a7CAS | 11469231PubMed |
[15] Manning W. The logged dependent variable, heteroscedasticity, and the retransformation problem. J Health Econ 1998; 17 283–95.
| The logged dependent variable, heteroscedasticity, and the retransformation problem.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1czjvVWltw%3D%3D&md5=2feb1a491a0d2931ceb6666aa1a03e96CAS | 10180919PubMed |
[16] Royston P, Wright E. A method for estimating age-specific reference intervals (‘normal ranges’) based on fractional polynomials and exponential transformation. J R Stat Soc Ser A Stat Soc 1998; 161 79–101.
| A method for estimating age-specific reference intervals (‘normal ranges’) based on fractional polynomials and exponential transformation.Crossref | GoogleScholarGoogle Scholar |
[17] MacLean C, Morton N, Elston R, Yee S. Skewness in commingled distributions. Biometrics 1976; 32 695–9.
| Skewness in commingled distributions.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaE2s%2FgtVKhsQ%3D%3D&md5=8e9e22b4c29c410b14e12ea482105d74CAS | 963179PubMed |
[18] Hayashi F. Econometrics . Princeton, NJ: Princeton University Press; 2000.
[19] Duan N. Smearing estimate: a nonparametric retransformation method. J Am Stat Assoc 1983; 78 605–10.
| Smearing estimate: a nonparametric retransformation method.Crossref | GoogleScholarGoogle Scholar |
[20] StataCorp. Stata 12. College Station, TX: StataCorp; 2012.
[21] Australian Bureau of Statistics. Australian health survey: health services usage and health related actions, 2011–12. Catalogue no. 4364.0.55.002. 2013. Available at http://www.abs.gov.au/ausstats/abs@.nsf/PrimaryMainFeatures/4364.0.55.002?OpenDocument [verified 18 December 2013].
[22] Australian Government Department of Human Services. Medicare Australia statistics: Medicare group reports. 2013. Available at http://www.medicareaustralia.gov.au/statistics/mbs_group.shtml [verified 24 December 2013].
[23] Adair J. The Hawthorne effect: a reconsideration of the methodological artifact. J Appl Psychol 1984; 69 334–45.
| The Hawthorne effect: a reconsideration of the methodological artifact.Crossref | GoogleScholarGoogle Scholar |
[24] Coleman K, Mattke S, Perrault PJ, Wagner EH. Untangling practice redesign from disease management: how do we best care for the chronically ill? Annu Rev Public Health 2009; 30 385–408.
| Untangling practice redesign from disease management: how do we best care for the chronically ill?Crossref | GoogleScholarGoogle Scholar | 18925872PubMed |
[25] Peikes D, Chen A, Schore J, Brown R. Effects of care coordination on hospitalization, quality of care, and health care expenditures among Medicare beneficiaries: 15 randomized trials. JAMA 2009; 301 603–18.
| Effects of care coordination on hospitalization, quality of care, and health care expenditures among Medicare beneficiaries: 15 randomized trials.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhvVOqur0%3D&md5=fa3cac6f9e851fb5090fc8af18aca4eaCAS | 19211468PubMed |
[26] Australian Institute of Health and Welfare (AIHW). Key indicators of progress for chronic disease and associated determinants: data report. Catalogue no. PHE 142. Canberra: AIHW; 2011.