Shoulder pain cost-of-illness in patients referred for public orthopaedic care in Australia
Darryn Marks
A B E , Tracy Comans C , Leanne Bisset D , Michael Thomas A and Paul A. Scuffham B D
+ Author Affiliations
- Author Affiliations
A Gold Cost Hospital and Health Service, Gold Coast University Hospital, 1 Hospital Boulevard, Southport, Qld 4215, Australia. Email: darryn.marks@health.qld.gov.au; michael.thomas5@health.qld.gov.au
B Centre for Applied Health Economics, School of Medicine, Griffith University, Sir Samuel Griffith Centre, Nathan, Qld 4111, Australia. Email: d.marks@griffith.edu.au; p.scuffham@griffith.edu.au
C Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Level 2,Building 33, Princess Alexandra Hospital, Woolloongabba, Qld 4102, Australia. Email: t.comans@uq.edu.au
D Menzies Health Institute Queensland, Griffith University, Parklands Drive, Southport, Qld 4222, Australia. Email: l.bisset@griffith.edu.au
E Corresponding author. Email: d.marks@griffith.edu.au
Australian Health Review 43(5) 540-548 https://doi.org/10.1071/AH17242
Submitted: 25 October 2017 Accepted: 25 June 2018 Published: 15 October 2018
Abstract
Objective The aim of this study was to calculate the societal economic burden of shoulder pain in patients on the orthopaedic waiting list at an Australian public hospital and calculate the cost (from the government’s perspective) of care delivered by the hospital for those patients.
Methods A cost-of-illness analysis was undertaken in a cohort of 277 orthopaedic patients on the Gold Coast in Australia. Outcomes included a health care costs and impacts questionnaire, work absenteeism, presenteeism questionnaires (Work Limitations Questionnaire (WLQ) and Work Productivity and Activity Impairment Questionnaire (WPAI)) and hospital care provision over a 2-year period.
Results The mean societal cost of healthcare and domestic support was AU$20.72 per day (AU$7563 annually) per patient on the orthopaedic waiting list. When absenteeism and presenteeism were included, the cost per patient who was employed was AU$38.04 per day (AU$13 885 annually) calculated with the WLQ and AU$61.31 per day (AU$22 378 annually) calculated with the WPAI. The mean per-patient cost to government of public hospital care was AU$2622 in Year 1 and AU$3835.78 (s.d. 4961.28) over 2 years. The surgical conversion rate was 22%, and 51% of hospital care cost was attributable to outpatient services.
Conclusions Public orthopaedic shoulder waiting lists create a large economic burden for society; few referrals require surgery and just over half the hospital care costs are for out-patient services. New models of care that better manage shoulder pain and identify surgical candidates before orthopaedic referral could reduce this burden.
What is known about the topic? Little is known about the cost of shoulder pain in Australia, or the cost of patients referred for public orthopaedic care.
What does this paper add? This article quantifies the costs of shoulder pain and the value of lost production from shoulder pain. The time spent waiting for public hospital orthopaedic appointments and the costs associated with waiting demonstrate that the time spent on a waiting list is a key driver of the economic burden.
What are the implications for practitioners? Greater resourcing to reduce public orthopaedic shoulder waiting lists may be helpful, but system change is also required. Earlier and more accurate identification of surgical cases could reduce inefficient referrals and improve hospital productivity. Collaboration between clinicians and policy makers is needed to design more economically efficient shoulder care.
Additional keywords: economic evaluation, health service, musculoskeletal.
References
[1] Vos T, Flaxman AD, Naghavi M, Lozano R, Michaud C, Ezzati M, Shibuya K, Salomon JA, Abdalla S, Aboyans V, Abraham J, Ackerman I, Aggarwal R, Ahn SY, Ali MK, Alvarado M, Anderson HR, Anderson LM, Andrews KG, Atkinson C, Baddour LM, Bahalim AN, Barker-Collo S, Barrero LH, Bartels DH, Basáñez M-G, Baxter A, Bell ML, Benjamin EJ, Bennett D, Bernabé E, Bhalla K, Bhandari B, Bikbov B, Bin Abdulhak A, Birbeck G, Black JA, Blencowe H, Blore JD, Blyth F, Bolliger I, Bonaventure A, Boufous S, Bourne R, Boussinesq M, Braithwaite T, Brayne C, Bridgett L, Brooker S, Brooks P, Brugha TS, Bryan-Hancock C, Bucello C, Buchbinder R, Buckle G, Budke CM, Burch M, Burney P, Burstein R, Calabria B, Campbell B, Canter CE, Carabin H, Carapetis J, Carmona L, Cella C, Charlson F, Chen H, Cheng AT-A, Chou D, Chugh SS, Coffeng LE, Colan SD, Colquhoun S, Colson KE, Condon J, Connor MD, Cooper LT, Corriere M, Cortinovis M, de Vaccaro KC, Couser W, Cowie BC, Criqui MH, Cross M, Dabhadkar KC, Dahiya M, Dahodwala N, Damsere-Derry J, Danaei G, Davis A, De Leo D, Degenhardt L, Dellavalle R, Delossantos A, Denenberg J, Derrett S, Des Jarlais DC, Dharmaratne SD, Dherani M, Diaz-Torne C, Dolk H, Dorsey ER, Driscoll T, Duber H, Ebel B, Edmond K, Elbaz A, Ali SE, Erskine H, Erwin PJ, Espindola P, Ewoigbokhan SE, Farzadfar F, Feigin V, Felson DT, Ferrari A, Ferri CP, Fèvre EM, Finucane MM, Flaxman S, Flood L, Foreman K, Forouzanfar MH, Fowkes FGR, Franklin R, Fransen M, Freeman MK, Gabbe BJ, Gabriel SE, Gakidou E, Ganatra HA, Garcia B, Gaspari F, Gillum RF, Gmel G, Gosselin R, Grainger R, Groeger J, Guillemin F, Gunnell D, Gupta R, Haagsma J, Hagan H, Halasa YA, Hall W, Haring D, Haro JM, Harrison JE, Havmoeller R, Hay RJ, Higashi H, Hill C, Hoen B, Hoffman H, Hotez PJ, Hoy D, Huang JJ, Ibeanusi SE, Jacobsen KH, James SL, Jarvis D, Jasrasaria R, Jayaraman S, Johns N, Jonas JB, Karthikeyan G, Kassebaum N, Kawakami N, Keren A, Khoo J-P, King CH, Knowlton LM, Kobusingye O, Koranteng A, Krishnamurthi R, Lalloo R, Laslett LL, Lathlean T, Leasher JL, Lee YY, Leigh J, Lim SS, Limb E, Lin JK, Lipnick M, Lipshultz SE, Liu W, Loane M, Ohno SL, Lyons R, Ma J, Mabweijano J, MacIntyre MF, Malekzadeh R, Mallinger L, Manivannan S, Marcenes W, March L, Margolis DJ, Marks GB, Marks R, Matsumori A, Matzopoulos R, Mayosi BM, McAnulty JH, McDermott MM, McGill N, McGrath J, Medina-Mora ME, Meltzer M, Mensah GA, Merriman TR, Meyer A-C, Miglioli V, Miller M, Miller TR, Mitchell PB, Mocumbi AO, Moffitt TE, Mokdad AA, Monasta L, Montico M, Moradi-Lakeh M, Moran A, Morawska L, Mori R, Murdoch ME, Mwaniki MK, Naidoo K, Nair MN, Naldi L, Narayan KMV, Nelson PK, Nelson RG, Nevitt MC, Newton CR, Nolte S, Norman P, Norman R, O’Donnell M, O’Hanlon S, Olives C, Omer SB, Ortblad K, Osborne R, Ozgediz D, Page A, Pahari B, Pandian JD, Rivero AP, Patten SB, Pearce N, Padilla RP, Perez-Ruiz F, Perico N, Pesudovs K, Phillips D, Phillips MR, Pierce K, Pion S, Polanczyk GV, Polinder S, Pope CA, Popova S, Porrini E, Pourmalek F, Prince M, Pullan RL, Ramaiah KD, Ranganathan D, Razavi H, Regan M, Rehm JT, Rein DB, Remuzzi G, Richardson K, Rivara FP, Roberts T, Robinson C, De Leòn FR, Ronfani L, Room R, Rosenfeld LC, Rushton L, Sacco RL, Saha S, Sampson U, Sanchez-Riera L, Sanman E, Schwebel DC, Scott JG, Segui-Gomez M, Shahraz S, Shepard DS, Shin H, Shivakoti R, Singh D, Singh GM, Singh JA, Singleton J, Sleet DA, Sliwa K, Smith E, Smith JL, Stapelberg NJC, Steer A, Steiner T, Stolk WA, Stovner LJ, Sudfeld C, Syed S, Tamburlini G, Tavakkoli M, Taylor HR, Taylor JA, Taylor WJ, Thomas B, Thomson WM, Thurston GD, Tleyjeh IM, Tonelli M, Towbin JA, Truelsen T, Tsilimbaris MK, Ubeda C, Undurraga EA, van der Werf MJ, van Os J, Vavilala MS, Venketasubramanian N, Wang M, Wang W, Watt K, Weatherall DJ, Weinstock MA, Weintraub R, Weisskopf MG, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams SRM, Witt E, Wolfe F, Woolf AD, Wulf S, Yeh P-H, Zaidi AKM, Zheng Z-J, Zonies D, Lopez AD, Murray CJL, AlMazroa MA, Memish ZA. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 [correction published in Lancet 2013; 381: 628]. Lancet 2012; 380 2163–96.| Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 [correction published in Lancet 2013; 381: 628].Crossref | GoogleScholarGoogle Scholar |
[2] Arthritis and Osteoporosis Victoria. A problem worth solving. The rising cost of musculoskeletal conditions in Australia. Arthritis and Osteoporosis Victoria: Elsternwick; 2013.
[3] Picavet HSJ, Schouten JSAG. Musculoskeletal pain in the Netherlands: prevalences, consequences and risk groups, the DMC3-study. Pain 2003; 102 167–78.
| Musculoskeletal pain in the Netherlands: prevalences, consequences and risk groups, the DMC3-study.Crossref | GoogleScholarGoogle Scholar |
[4] Taylor W. Musculoskeletal pain in the adult New Zealand population: prevalence and impact. N Z Med J 2005; 118 U1629
[5] Parsons S, Breen A, Foster NE, Letley L, Pincus T, Vogel S, Underwood M. Prevalence and comparative troublesomeness by age of musculoskeletal pain in different body locations. Fam Pract 2007; 24 308–16.
| Prevalence and comparative troublesomeness by age of musculoskeletal pain in different body locations.Crossref | GoogleScholarGoogle Scholar |
[6] Urwin M, Symmons D, Allison T, Brammah T, Busby H, Roxby M, Simmons A, Williams G. Estimating the burden of musculoskeletal disorders in the community: the comparative prevalence of symptoms at different anatomical sites, and the relation to social deprivation. Ann Rheum Dis 1998; 57 649–55.
| Estimating the burden of musculoskeletal disorders in the community: the comparative prevalence of symptoms at different anatomical sites, and the relation to social deprivation.Crossref | GoogleScholarGoogle Scholar |
[7] Britt H, Miller GC, Bayram C, Henderson J, Valenti L, Harrison C, Pan Y, Charles J, Pollack AJ, Chambers T, Gordon J, Wong C. A decade of Australian general practice activity 2006–07 to 2015–16. General practice series no. 41. 2016; Available at: http://purl.library.usyd.edu.au/sup/9781743325155 [verified 6 August 2018].
[8] Virta L, Joranger P, Brox JI, Eriksson R. Costs of shoulder pain and resource use in primary health care: a cost-of-illness study in Sweden. BMC Musculoskelet Disord 2012; 13 17
| Costs of shoulder pain and resource use in primary health care: a cost-of-illness study in Sweden.Crossref | GoogleScholarGoogle Scholar |
[9] Kuijpers T, van Tulder MW, van der Heijden GJMG, Bouter LM, van der Windt DAWM. Costs of shoulder pain in primary care consulters: a prospective cohort study in The Netherlands. BMC Musculoskelet Disord 2006; 7 83
| Costs of shoulder pain in primary care consulters: a prospective cohort study in The Netherlands.Crossref | GoogleScholarGoogle Scholar |
[10] Koopmanschap MA, Rutten FF, van Ineveld BM, van Roijen L. The friction cost method for measuring indirect costs of disease. J Health Econ 1995; 14 171–89.
| The friction cost method for measuring indirect costs of disease.Crossref | GoogleScholarGoogle Scholar |
[11] Drummond MF. Methods for the economic evaluation of health care programmes. 3rd edn. Oxford: Oxford University Press; 2005.
[12] Schultz AB, Chen C-Y, Edington DW. The cost and impact of health conditions on presenteeism to employers: a review of the literature. Pharmacoeconomics 2009; 27 365–78.
| The cost and impact of health conditions on presenteeism to employers: a review of the literature.Crossref | GoogleScholarGoogle Scholar |
[13] Zhang W. Work productivity among employed Canadians with arthritis. J Occup Environ Med 2010; 52 872–7.
| Work productivity among employed Canadians with arthritis.Crossref | GoogleScholarGoogle Scholar |
[14] van den Heuvel SG, Ijmker S, Blatter BM, de Korte EM. Loss of productivity due to neck/shoulder symptoms and hand/arm symptoms: results from the PROMO-study. J Occup Rehabil 2007; 17 370–82.
| Loss of productivity due to neck/shoulder symptoms and hand/arm symptoms: results from the PROMO-study.Crossref | GoogleScholarGoogle Scholar |
[15] Joo H, Lee YJ, Shin J-S, Lee J, Kim M-r, Koh W, Park Y, Song YK, Cho J-H, Ha I-H. Medical service use and usual care of common shoulder disorders in Korea: a cross-sectional study using the Health Insurance Review and Assessment Service national patient sample. BMJ Open 2017; 7 e015848
| Medical service use and usual care of common shoulder disorders in Korea: a cross-sectional study using the Health Insurance Review and Assessment Service national patient sample.Crossref | GoogleScholarGoogle Scholar |
[16] Buchbinder R, Staples MP, Shanahan EM, Roos JF. General practitioner management of shoulder pain in comparison with rheumatologist expectation of care and best evidence: an Australian national survey. PLoS One 2013; 8 e61243
| General practitioner management of shoulder pain in comparison with rheumatologist expectation of care and best evidence: an Australian national survey.Crossref | GoogleScholarGoogle Scholar |
[17] Dorrestijn O, Greving K, van der Veen WJ, van der Meer K, Diercks RL, Winters JC, Stevens M. Patients with shoulder complaints in general practice: consumption of medical care. Rheumatology (Oxford) 2011; 50 389–95.
| Patients with shoulder complaints in general practice: consumption of medical care.Crossref | GoogleScholarGoogle Scholar |
[18] Linsell L, Dawson J, Zondervan K, Rose P, Randall T, Fitzpatrick R, Carr A. Prevalence and incidence of adults consulting for shoulder conditions in UK primary care; patterns of diagnosis and referral. Rheumatology (Oxford) 2006; 45 215–21.
| Prevalence and incidence of adults consulting for shoulder conditions in UK primary care; patterns of diagnosis and referral.Crossref | GoogleScholarGoogle Scholar |
[19] Curtis AJ, Russell COH, Stoelwinder JU, McNeil JJ. Waiting lists and elective surgery: ordering the queue. Med J Aust 2010; 192 217–20.
[20] Queensland Government. Hospital care, surgical procedures and waiting lists. 2015. Available at: http://www.performance.health.qld.gov.au/Hospital/SpecialistOutpatient/99999 [verified 10 August 2018].
[21] Queensland Government Queensland Health. Queensland reporting hospitals. Specialist outpatient at 01 July 2018. 2018. Available at: http://www.performance.health.qld.gov.au/hospitalperformance/op-main.aspx?hospital=99999 [verified 10 August 2018].
[22] Núñez M, Núñez E, Segur JM, Maculé F, Sanchez A, Hernández M, Vilalta C. Health-related quality of life and costs in patients with osteoarthritis on waiting list for total knee replacement. Osteoarthritis Cartilage 2007; 15 258–65.
| Health-related quality of life and costs in patients with osteoarthritis on waiting list for total knee replacement.Crossref | GoogleScholarGoogle Scholar |
[23] Ackerman IN, Bennell KL, Osborne RH. Decline in health-related quality of life reported by more than half of those waiting for joint replacement surgery: a prospective cohort study. BMC Musculoskelet Disord 2011; 12 108
| Decline in health-related quality of life reported by more than half of those waiting for joint replacement surgery: a prospective cohort study.Crossref | GoogleScholarGoogle Scholar |
[24] Marks D, Bisset L, Thomas M, O’Leary S, Comans T, Ng SK, Conaghan PG, Scuffham P. An experienced physiotherapist prescribing and administering corticosteroid and local anaesthetic injections to the shoulder in an Australian orthopaedic service, a non-inferiority randomised controlled trial and economic analysis: study protocol for a randomised controlled trial. Trials 2014; 15 503
| An experienced physiotherapist prescribing and administering corticosteroid and local anaesthetic injections to the shoulder in an Australian orthopaedic service, a non-inferiority randomised controlled trial and economic analysis: study protocol for a randomised controlled trial.Crossref | GoogleScholarGoogle Scholar |
[25] Angst F, Schwyzer H-K, Aeschlimann A, Simmen BR, Goldhahn J. Measures of adult shoulder function: Disabilities of the Arm, Shoulder, and Hand Questionnaire (DASH) and Its Short Version (QuickDASH), Shoulder Pain and Disability Index (SPADI), American Shoulder and Elbow Surgeons (ASES) Society Standardized Shoulder Assessment Form, Constant (Murley) Score (CS), Simple Shoulder Test (SST), Oxford Shoulder Score (OSS), Shoulder Disability Questionnaire (SDQ), and Western Ontario Shoulder Instability Index (WOSI). Arthritis Care Res 2011; 63 S174–88.
| Measures of adult shoulder function: Disabilities of the Arm, Shoulder, and Hand Questionnaire (DASH) and Its Short Version (QuickDASH), Shoulder Pain and Disability Index (SPADI), American Shoulder and Elbow Surgeons (ASES) Society Standardized Shoulder Assessment Form, Constant (Murley) Score (CS), Simple Shoulder Test (SST), Oxford Shoulder Score (OSS), Shoulder Disability Questionnaire (SDQ), and Western Ontario Shoulder Instability Index (WOSI).Crossref | GoogleScholarGoogle Scholar |
[26] Roach KE, Budiman-Mak E, Songsiridej N, Lertratanakul Y. Development of a shoulder pain and disability index. Arthritis Care Res 1991; 4 143–9.
| Development of a shoulder pain and disability index.Crossref | GoogleScholarGoogle Scholar |
[27] Roy J-S, MacDermid JC, Woodhouse LJ. Measuring shoulder function: a systematic review of four questionnaires. Arthritis Rheum 2009; 61 623–32.
| Measuring shoulder function: a systematic review of four questionnaires.Crossref | GoogleScholarGoogle Scholar |
[28] Obradovic M, Lal A, Liedgens H. Validity and responsiveness of EuroQol-5 dimension (EQ-5D) versus Short Form-6 dimension (SF-6D) questionnaire in chronic pain. Health Qual Life Outcomes 2013; 11 110
| Validity and responsiveness of EuroQol-5 dimension (EQ-5D) versus Short Form-6 dimension (SF-6D) questionnaire in chronic pain.Crossref | GoogleScholarGoogle Scholar |
[29] Norman R, Cronin P, Viney R. A pilot discrete choice experiment to explore preferences for EQ-5D–5L health states. Appl Health Econ Health Policy 2013; 11 287–98.
| A pilot discrete choice experiment to explore preferences for EQ-5D–5L health states.Crossref | GoogleScholarGoogle Scholar |
[30] Merkesdal S, Ruof J, Huelsemann JL, Mittendorf T, Handelmann S, Mau W, Zeidler H. Indirect cost assessment in patients with rheumatoid arthritis (RA): comparison of data from the health economic patient questionnaire HEQ-RA and insurance claims data. Arthritis Rheum 2005; 53 234–40.
| Indirect cost assessment in patients with rheumatoid arthritis (RA): comparison of data from the health economic patient questionnaire HEQ-RA and insurance claims data.Crossref | GoogleScholarGoogle Scholar |
[31] Pinto D, Robertson MC, Hansen P, Abbott JH. Good agreement between questionnaire and administrative databases for health care use and costs in patients with osteoarthritis. BMC Med Res Methodol 2011; 11 45
| Good agreement between questionnaire and administrative databases for health care use and costs in patients with osteoarthritis.Crossref | GoogleScholarGoogle Scholar |
[32] Australian Government. Medicare Benefits Schedule book July 2013. Canberra: Department of Health and Ageing; 2013.
[33] Conroy RM. Stings in the tails: detecting and dealing with censored data. Stata J 2005; 5 395–404.
[34] Zhang W, Gignac MA, Beaton D, Tang K, Anis AH. Productivity loss due to presenteeism among patients with arthritis: estimates from 4 instruments. J Rheumatol 2010; 37 1805–14.
| Productivity loss due to presenteeism among patients with arthritis: estimates from 4 instruments.Crossref | GoogleScholarGoogle Scholar |
[35] Zhang W, Bansback N, Boonen A, Young A, Singh A, Anis AH. Validity of the work productivity and activity impairment questionnaire – general health version in patients with rheumatoid arthritis. Arthritis Res Ther 2010; 12 R177
| Validity of the work productivity and activity impairment questionnaire – general health version in patients with rheumatoid arthritis.Crossref | GoogleScholarGoogle Scholar |
[36] Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics 1993; 4 353–65.
| The validity and reproducibility of a work productivity and activity impairment instrument.Crossref | GoogleScholarGoogle Scholar |
[37] Lerner D, Amick BC, Rogers WH, Malspeis S, Bungay K, Cynn D. The Work Limitations Questionnaire. Med Care 2001; 39 72–85.
| The Work Limitations Questionnaire.Crossref | GoogleScholarGoogle Scholar |
[38] Tang K, Beaton DE, Boonen A, Gignac MAM, Bombardier C. Measures of work disability and productivity: Rheumatoid Arthritis Specific Work Productivity Survey (WPS-RA), Workplace Activity Limitations Scale (WALS), Work Instability Scale for Rheumatoid Arthritis (RA-WIS), Work Limitations Questionnaire (WLQ), and Work Productivity and Activity Impairment Questionnaire (WPAI). Arthritis Care Res 2011; 63 S337–49.
| Measures of work disability and productivity: Rheumatoid Arthritis Specific Work Productivity Survey (WPS-RA), Workplace Activity Limitations Scale (WALS), Work Instability Scale for Rheumatoid Arthritis (RA-WIS), Work Limitations Questionnaire (WLQ), and Work Productivity and Activity Impairment Questionnaire (WPAI).Crossref | GoogleScholarGoogle Scholar |
[39] Beaton DE, Kennedy CA. Beyond return to work: testing a measure of at-work disability in workers with musculoskeletal pain. Qual Life Res 2005; 14 1869–79.
| Beyond return to work: testing a measure of at-work disability in workers with musculoskeletal pain.Crossref | GoogleScholarGoogle Scholar |
[40] Ozminkowski RJ, Goetzel RZ, Chang S, Long S. The application of two health and productivity instruments at a large employer. J Occup Environ Med 2004; 46 635–48.
| The application of two health and productivity instruments at a large employer.Crossref | GoogleScholarGoogle Scholar |
[41] DiBonaventura M, Gupta S, McDonald M, Sadosky A. Evaluating the health and economic impact of osteoarthritis pain in the workforce: results from the National Health and Wellness Survey. BMC Musculoskelet Disord 2011; 12 83
| Evaluating the health and economic impact of osteoarthritis pain in the workforce: results from the National Health and Wellness Survey.Crossref | GoogleScholarGoogle Scholar |
[42] Australian Government Department of Health. Pharmaceutical Benefits Scheme (PBS) Publications Archive. 2014. Available at: http://www.pbs.gov.au/info/publication/schedule/archive[verified 10 August 2018].
[43] Australian Government. Motor vehicle cents per kilometre rates – 2013-14. 2018. Available from: https://atotaxrates.info/tax-deductions/work-related-car-expenses/cents-per-kilometre/ [verified 10 August 2018].
[44] van den Berg B, Brouwer W, van Exel J, Koopmanschap M, van den Bos GA, Rutten F. Economic valuation of informal care: lessons from the application of the opportunity costs and proxy good methods. Soc Sci Med (1982) 2006; 62 835–45.
| Economic valuation of informal care: lessons from the application of the opportunity costs and proxy good methods.Crossref | GoogleScholarGoogle Scholar |
[45] Australian Government Fair Work Ombudsman. Pay rates before 1 July 2014. Available at: https://www.fairwork.gov.au/pay/minimum-wages/pay-rates-before-1-july-2014 [verified 10 August 2018].
[46] Australian Bureau of Statistics. Employee earnings and hours, Australia, May 2014. 2015. Available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/6306.0May%202014?OpenDocument [verified 10 August 2018].
[47] Zhao H, Tian L. On estimating medical cost and incremental cost-effectiveness ratios with censored data. Biometrics 2001; 57 1002–8.
| On estimating medical cost and incremental cost-effectiveness ratios with censored data.Crossref | GoogleScholarGoogle Scholar |
[48] Chen S, Rolfes J, Zhao H. Estimation of mean health care costs and incremental cost-effectiveness ratios with possibly censored data. Stata J 2015; 15 698–711.
[49] Australian Institute of Health and Welfare, Royal Australasian College of Surgeons. National definitions for elective surgery urgency categories. Proposal for the Standing Council on Health. 2012. Available at: https://www.aihw.gov.au/reports/hospitals/national-definitions-for-elective-surgery-urgency/contents/table-of-contents [verified 13 August 2018].
[50] Tasmanian Government. Estimated outpatient appointment waiting times. 2018. Available at: http://outpatients.tas.gov.au/clinicians/wait_times/wait_times [verified 10 September 2018].
[51] Victorian Government. Specialist clinics activity and wait time report June quarter 2015–16 – preliminary. Melbourne: Victorian Government; 2016.
[52] Australian Institute of Health and Welfare (AIHW). Australian hospital statistics 2011–12. Canberra, AIHW; 2013.
[53] Australian Institute of Health and Welfare. Hospitals: overview. 2017. Available at: https://www.aihw.gov.au/reports-statistics/health-welfare-services/hospitals/overview [verified 10 August 2018].
[54] Australian Institute of Health and Welfare (AIHW). Elective surgery waiting times 2015–16 Australian hospital statistics. Canberra: AIHW; 2016.
[55] Zhang W, Bansback N, Anis AH. Measuring and valuing productivity loss due to poor health: a critical review. Soc Sci Med (1982) 2011; 72 185–92.
| Measuring and valuing productivity loss due to poor health: a critical review.Crossref | GoogleScholarGoogle Scholar |
[56] Maksymowych WP, Rao S, Boonen A, Chen N, Cifaldi M. Validation of the Patient Acceptable Work State (PAWS): Establishing Thresholds for Major Work Transition in Ankylosing Spondylitis. Arthritis Rheum 2010; 62 [Abstract Number 558]
[57] Lewis J, McCreesh K, Roy JS, Ginn K. Rotator cuff tendinopathy: navigating the diagnosis–management conundrum. J Orthop Sports Phys Ther 2015; 45 923–37.
| Rotator cuff tendinopathy: navigating the diagnosis–management conundrum.Crossref | GoogleScholarGoogle Scholar |
[58] Kuhn JE, Dunn WR, Sanders R, An Q, Baumgarten KM, Bishop JY, Brophy RH, Carey JL, Holloway BG, Jones GL, Ma CB, Marx RG, McCarty EC, Poddar SK, Smith MV, Spencer EE, Vidal AF, Wolf BR, Wright RW. Effectiveness of physical therapy in treating atraumatic full-thickness rotator cuff tears: a multicenter prospective cohort study. J Shoulder Elbow Surg 2013; 22 1371–9.
| Effectiveness of physical therapy in treating atraumatic full-thickness rotator cuff tears: a multicenter prospective cohort study.Crossref | GoogleScholarGoogle Scholar |
[59] Jo C. Cost-of-illness studies: concepts, scopes, and methods. Clin Mol Hepatol 2014; 20 327–37.
| Cost-of-illness studies: concepts, scopes, and methods.Crossref | GoogleScholarGoogle Scholar |
[60] Coduras A, Rabasa I, Frank A, Bermejo-Pareja F, Lopez-Pousa S, Lopez-Arrieta JM, Del Llano J, Leon T, Rejas J. Prospective one-year cost-of-illness study in a cohort of patients with dementia of Alzheimer’s disease type in Spain: the ECO study. J Alzheimers Dis 2010; 19 601–15.
| Prospective one-year cost-of-illness study in a cohort of patients with dementia of Alzheimer’s disease type in Spain: the ECO study.Crossref | GoogleScholarGoogle Scholar |
[61] Hojman DA, Duarte F, Ruiz-Tagle J, Budnich M, Delgado C, Slachevsky A. The cost of dementia in an unequal country: the case of Chile. PLoS One 2017; 12 e0172204
| The cost of dementia in an unequal country: the case of Chile.Crossref | GoogleScholarGoogle Scholar |
[62] Larg A, Moss JR. Cost-of-illness studies: a guide to critical evaluation. Pharmacoeconomics 2011; 29 653–71.
| Cost-of-illness studies: a guide to critical evaluation.Crossref | GoogleScholarGoogle Scholar |
[63] Queensland Health. Health funding principles and guidelines 2013–2014, Appendix 5: Tier 2 Non-admitted services. Brisbane: State of Queensland (Queensland Health); 2013.
[64] Queensland Health. Health funding principles and guidelines 2014–2015, AR-DRG Version 7. Brisbane: State of Queensland (Queensland Health); 2014.
