The relative importance of perceived doctor's attitude on the decision to consult for symptomatic osteoarthritis: a choice-based conjoint analysis study

Domenica Coxon, Martin Frisher, Clare Jinks, Kelvin Jordan, Zoe Paskins, George Peat, Domenica Coxon, Martin Frisher, Clare Jinks, Kelvin Jordan, Zoe Paskins, George Peat

Abstract

Objectives: Some patients spend years with painful osteoarthritis without consulting for it, including times when they are experiencing persistent severe pain and disability. Beliefs about osteoarthritis and what primary care has to offer may influence the decision to consult but their relative importance has seldom been quantified. We sought to investigate the relative importance of perceived service-related and clinical need attributes in the decision to consult a primary care physician for painful osteoarthritis.

Design: Partial-profile choice-based conjoint analysis study, using a self-complete questionnaire containing 10 choice tasks, each presenting two scenarios based on a combination of three out of six selected attributes.

Setting: General population.

Participants: Adults aged 50 years and over with hip, knee or hand pain registered with four UK general practices.

Outcome measures: Relative importance of pain characteristics, level of disruption to everyday life, extent of comorbidity, assessment, management, perceived general practitioner (GP) attitude.

Results: 863 (74%) people responded (55% female; mean age 70 years, range: 58-93). The most important determinants of the patient's decision to consult the GP for joint pain were the extent to which pain disrupted everyday life ('most' vs 'none': relative importance 31%) and perceived GP attitude ('legitimate problem, requires treatment' vs 'part of the normal ageing process that one just has to accept': 24%). Thoroughness of assessment (14%), management options offered (13%), comorbidity (13%) and pain characteristics (5%) were less strongly associated with the decision to consult.

Conclusions: Anticipating that the GP will regard joint pain as 'part of the normal ageing process that one just has to accept' is a strong disincentive to seeking help, potentially outweighing other aspects of quality of care. Alongside the recognition and management of disrupted function, an important goal of each primary care consultation for osteoarthritis should be to avoid imparting or reinforcing this perception.

Keywords: PRIMARY CARE; osteoarthritis.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Figures

Figure 1
Figure 1
Sample page in the questionnaire showing the choice task format. GP, general practitioner.

References

    1. Vos T, Flaxman AD, Naghavi M et al. . 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. Lancet 2012;380:2163–96. 10.1016/S0140-6736(12)61729-2
    1. Cross M, Smith E, Hoy D et al. . The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis 2014;73:1323–30. 10.1136/annrheumdis-2013-204763
    1. Turkiewicz A, Petersson IF, Björk J et al. . Current and future impact of osteoarthritis on health care: a population-based study with projections to year 2032. Osteoarthritis Cartilage 2014;22:1826–32. 10.1016/j.joca.2014.07.015
    1. Hiligsmann M, Cooper C, Arden N et al. . Health economics in the field of osteoarthritis: an expert's consensus paper from the European Society for Clinical and Economic aspects of Osteoporosis and Osteoarthritis (ESCEO). Semin Arthritis Rheum 2013;43:303–13. 10.1016/j.semarthrit.2013.07.003
    1. Culliford D, Maskell J, Judge A et al. . Future projections of total hip and knee arthroplasty in the UK: results from the UK clinical practice research datalink. Osteoarthritis Cartilage 2015;23:594–600. 10.1016/j.joca.2014.12.022
    1. Hoy DG, Smith E, Cross M et al. . Reflecting on the global burden of musculoskeletal conditions: lessons learnt from the global burden of disease 2010 study and the next steps forward. Ann Rheum Dis 2015;74:4–7. 10.1136/annrheumdis-2014-205393
    1. Murray CJ, Richards MA, Newton JN et al. . UK health performance: findings of the global burden of disease study 2010. Lancet 2013;381:997–1020. 10.1016/S0140-6736(13)60355-4
    1. Jinks C, Jordan K, Ong BN et al. . A brief screening tool for knee pain in primary care (KNEST). 2. Results from a survey in the general population aged 50 and over. Rheumatology (Oxford) 2004;43:55–61. 10.1093/rheumatology/keg438
    1. Thorstensson CA, Gooberman-Hill R, Adamson J et al. . Help-seeking behaviour among people living with chronic hip or knee pain in the community. BMC Musculoskelet Disord 2009;10:153 10.1186/1471-2474-10-153
    1. Sheikh L, Nicholl BI, Green DJ et al. . Osteoarthritis and the rule of halves. Osteoarthritis Cartilage 2014;22:535–9. 10.1016/j.joca.2014.02.006
    1. Turkiewicz A, Gerhardsson de Verdier M, Engström G et al. . Prevalence of knee pain and knee OA in southern Sweden and the proportion that seeks medical care. Rheumatology (Oxford) 2015;54:827–35. 10.1093/rheumatology/keu409
    1. Bedson J, Mottram S, Thomas E et al. . Knee pain and osteoarthritis in the general population: what influences patients to consult? Fam Pract 2007;24:443–53. 10.1093/fampra/cmm036
    1. Jinks C, Ong BN, Richardson J. A mixed methods study to investigate needs assessment for knee pain and disability: population and individual perspectives. BMC Musculoskelet Disord 2007;8:59 10.1186/1471-2474-8-59
    1. Zhang W, Nuki G, Moskowitz RW et al. . OARSI recommendations for the management of hip and knee osteoarthritis: part III: changes in evidence following systematic cumulative update of research published through January 2009. Osteoarthritis Cartilage 2010;18:476–99. 10.1016/j.joca.2010.01.013
    1. National Institute for Health and Care Excellence. Osteoarthritis. Care and management in adults. Clinical guideline CG177. National Clinical Guideline Centre, 2014.
    1. McAlindon TE, Bannuru RR, Sullivan MC et al. . OARSI guidelines for the non-surgical management of knee osteoarthritis. Osteoarthritis Cartilage 2014;22:363–88. 10.1016/j.joca.2014.01.003
    1. de Boer AG, Wijker W, de Haes HC. Predictors of health care utilization in the chronically ill: a review of the literature. Health Policy 1997;42:101–15. 10.1016/S0168-8510(97)00062-6
    1. Babitsch B, Gohl D, von Lengerke T. Re-revisiting Andersen's behavioral model of health services use: a systematic review of studies from 1998–2011. Psychosoc Med 2012;9:Doc11 10.3205/psm000089
    1. Paskins Z, Sanders T, Hassell AB. What influences patients with osteoarthritis to consult their GP about their symptoms? A narrative review. BMC Fam Pract 2013;14:195 10.1186/1471-2296-14-195
    1. Thomas MJ, Moore A, Roddy E et al. . ‘Somebody to say come on we can sort this’: a qualitative study of primary care consultation among older adults with symptomatic foot osteoarthritis. Arthritis Care Res (Hoboken) 2013;65:2051–5. 10.1002/acr.22073
    1. Sanders C, Donovan JL, Dieppe PA. Unmet need for joint replacement: a qualitative investigation of barriers to treatment among individuals with severe pain and disability of the hip and knee. Rheumatology (Oxford) 2004;43:353–7. 10.1093/rheumatology/keh044
    1. Morden A, Jinks C, Ong BN. Understanding help seeking for chronic joint pain: implications for providing supported self-management. Qual Health Res 2014;24:957–68. 10.1177/1049732314539853
    1. Gignac MA, Davis AM, Hawker G et al. . ‘What do you expect? you're just getting older’: a comparison of perceived osteoarthritis-related and aging-related health experiences in middle- and older-age adults. Arthritis Rheum 2006;55:905–12. 10.1002/art.22338
    1. Cheraghi-Sohi S, Bower P, Kennedy A et al. . Patient priorities in osteoarthritis and comorbid conditions: a secondary analysis of qualitative data. Arthritis Care Res (Hoboken) 2013;65:920–7. 10.1002/acr.21897
    1. Mitchell HL, Carr AJ, Scott DL. The management of knee pain in primary care: factors associated with consulting the GP and referrals to secondary care. Rheumatology (Oxford) 2006;45:771–6. 10.1093/rheumatology/kei214
    1. Hill S, Dziedzic K, Thomas E et al. . The illness perceptions associated with health and behavioural outcomes in people with musculoskeletal hand problems: findings from the north Staffordshire osteoarthritis project (NorStOP). Rheumatology (Oxford) 2007;46:944–51. 10.1093/rheumatology/kem015
    1. Thomas E, Wilkie R, Peat G et al. . The north Staffordshire osteoarthritis project—NorStOP: Prospective, 3-year study of the epidemiology and management of clinical osteoarthritis in a general population of older adults. BMC Musculoskelet Disord 2004;5:2 10.1186/1471-2474-5-2
    1. Peat G, Thomas E, Handy J et al. . The Knee Clinical Assessment Study—CAS(K). A prospective study of knee pain and knee osteoarthritis in the general population. BMC Musculoskelet Disord 2004;5:4 10.1186/1471-2474-5-4
    1. Vick S, Scott A. Agency in health care. Examining patients’ preferences for attributes of the doctor-patient relationship. J Health Econ 1998;17:587–605. 10.1016/S0167-6296(97)00035-0
    1. Longo MF, Cohen DR, Hood K et al. . Involving patients in primary care consultations: assessing preferences using discrete choice experiments. Br J Gen Pract 2006;56:35–42.
    1. Rubin G, Bate A, George A et al. . Preferences for access to the GP: a discrete choice experiment. Br J Gen Pract 2006;56:743–8.
    1. Turner D, Tarrant C, Windridge K et al. . Do patients value continuity of care in general practice? An investigation using stated preference discrete choice experiments. J Health Serv Res Policy 2007;12:132–7. 10.1258/135581907781543021
    1. Caldow J, Bond C, Ryan M et al. . Treatment of minor illness in primary care: a national survey of patient satisfaction, attitudes and preferences regarding a wider nursing role. Health Expect 2007;10:30–45. 10.1111/j.1369-7625.2006.00422.x
    1. Cheraghi-Sohi S, Hole AR, Mead N et al. . What patients want from primary care consultations: a discrete choice experiment to identify patients’ priorities. Ann Fam Med 2008;6:107–15. 10.1370/afm.816
    1. Gerard K, Salisbury C, Street D et al. . Is fast access to general practice all that should matter? A discrete choice experiment of patients’ preferences. J Health Serv Res Policy 2008;13(Suppl 2):3–10. 10.1258/jhsrp.2007.007087
    1. Morgan A, Shackley P, Pickin M et al. . Quantifying patient preferences for out-of-hours primary care. J Health Serv Res Policy 2000;5:214–18.
    1. Scott A, Watson MS, Ross S. Eliciting preferences of the community for out of hours care provided by general practitioners: a stated preference discrete choice experiment. Soc Sci Med 2003;56:803–14. 10.1016/S0277-9536(02)00079-5
    1. Fraenkel L, Bogardus ST Jr, Concato J et al. . Treatment options in knee osteoarthritis: the patient's perspective. Arch Intern Med 2004;164:1299–304. 10.1001/archinte.164.12.1299
    1. Fraenkel L, Wittink DR, Concato J et al. . Informed choice and the widespread use of antiinflammatory drugs. Arthritis Rheum 2004;51:210–14. 10.1002/art.20247
    1. Fraenkel L, Fried T. If you want patients with knee osteoarthritis (OA) to exercise: tell them about NSAIDS. Patient 2008;1:21–6. 10.2165/01312067-200801010-00005
    1. Arden NK, Hauber AB, Mohamed AF et al. . How do physicians weigh benefits and risks associated with treatments in patients with osteoarthritis in the United Kingdom? J Rheumatol 2012;39:1056–63. 10.3899/jrheum.111066
    1. Hauber AB, Arden NK, Mohamed AF et al. . A discrete-choice experiment of United Kingdom patients’ willingness to risk adverse events for improved function and pain control in osteoarthritis. Osteoarthritis Cartilage 2013;21:289–97. 10.1016/j.joca.2012.11.007
    1. Laba TL, Brien JA, Fransen M et al. . Patient preferences for adherence to treatment for osteoarthritis: the MEdication Decisions in Osteoarthritis Study (MEDOS). BMC Musculoskelet Disord 2013;14:160 10.1186/1471-2474-14-160
    1. Bridges JF, Hauber AB, Marshall D et al. . Conjoint analysis applications in health—a checklist: a report of the ISPOR good research practices for conjoint analysis task force. Value Health 2011;14:403–13. 10.1016/j.jval.2010.11.013
    1. Lancsar E, Louviere J. Conducting discrete choice experiments to inform healthcare decision making: a user's guide. Pharmacoeconomics 2008;26:661–77. 10.2165/00019053-200826080-00004
    1. Ryan M, Gerard K, Amaya-Amaya M, eds. Using discrete choice experiments to value health and health care. 1st edn Dordrecht: Springer, 2008.
    1. Orme B. Getting started with conjoint analysis: strategies for product design and pricing research. 2nd edn Madison, Wisconsin: Research Publishers LLC, 2010:57–66.
    1. Jinks C, Carter P, Rhodes C et al. . Sustaining patient and public involvement in research. J Care Services Manag 2013;7:146–54. 10.1179/1750168715Y.0000000003
    1. Jordan K, Jinks C, Croft P. A prospective study of the consulting behaviour of older people with knee pain. Br J Gen Pract 2006;56:269–76.
    1. Rosemann T, Joos S, Szecsenyi J et al. . Health service utilization patterns of primary care patients with osteoarthritis. BMC Health Serv Res 2007;7:169 10.1186/1472-6963-7-169
    1. Rosemann T, Gensichen J, Sauer N et al. . The impact of concomitant depression on quality of life and health service utilisation in patients with osteoarthritis. Rheumatol Int 2007;27:859–63. 10.1007/s00296-007-0309-6
    1. Cronan TA, Shaw WS, Gallagher RA et al. . Predicting health care use among older osteoarthritis patients in an HMO. Arthritis Care Res 1995;8:66–72. 10.1002/art.1790080203
    1. Hopman-Rock M, de Bock GH, Bijlsma JW et al. . The pattern of health care utilization of elderly people with arthritic pain in the hip or knee. Int J Qual Health Care 1997;9:129–37. 10.1093/intqhc/9.2.129
    1. Rao JK, Callahan LF, Helmick CG III. Characteristics of persons with self-reported arthritis and other rheumatic conditions who do not see a doctor. J Rheumatol 1997;24:169–73.
    1. Dieppe P, Basler HD, Chard J et al. . Knee replacement surgery for osteoarthritis: effectiveness, practice variations, indications and possible determinants of utilization. Rheumatology (Oxford) 1999;38:73–83. 10.1093/rheumatology/38.1.73
    1. Ethgen O, Kahler KH, Kong SX et al. . The effect of health related quality of life on reported use of health care resources in patients with osteoarthritis and rheumatoid arthritis: a longitudinal analysis. J Rheumatol 2002;29:1147–55.
    1. Dominick KL, Ahern FM, Gold CH et al. . Health-related quality of life and health service use among older adults with osteoarthritis. Arthritis Rheum 2004;51:326–31. 10.1002/art.20390
    1. Kim MY, Park JK, Koh SB et al. . Factors influencing utilization of medical care among osteoarthritis patients in Korea: using 2005 Korean National Health and Nutrition Survey data. J Prev Med Public Health 2010;43:513–22. 10.3961/jpmph.2010.43.6.513
    1. Fiebig DG, Haas M, Hossain I et al. . Decisions about pap tests: what influences women and providers? Soc Sci Med 2009;68:1766–74. 10.1016/j.socscimed.2009.03.002
    1. Haas M. The impact of non-health attributes of care on patients’ choice of GP. Aust J Prim Health 2005;11:40–6. 10.1071/PY05006
    1. Hjelmgren J, Anell A. Population preferences and choice of primary care models: a discrete choice experiment in Sweden. Health Policy 2007;83:314–22. 10.1016/j.healthpol.2007.02.006
    1. Markham FW, Diamond JJ, Hermansen CL. The use of conjoint analysis to study patient satisfaction. Eval Health Prof 1999;22:371–8. 10.1177/01632789922034365
    1. Ryan M, McIntosh E, Shackley P. Using conjoint analysis to elicit the views of health service users: an application to the patient health card. Health Expect 1998;1:117–29. 10.1046/j.1369-6513.1998.00024.x
    1. Scott A, Vick S. Patients, doctors and contracts: an application of principal-agent theory to the doctor-patient relationship. Scott J Political Economy 1999;46:111–34. 10.1111/1467-9485.00124
    1. Patterson M, Chrzan K. Partial profile discrete choice: what's the optimal number of attributes? Sawtooth Software Conference Proceedings; 6–8 October 2004:173–85.
    1. Broadbent E, Petrie KJ, Main J et al. . The brief illness perception questionnaire. J Psychosom Res 2006;60:631–7. 10.1016/j.jpsychores.2005.10.020
    1. Orme B. Getting started with conjoint analysis: strategies for product design and pricing research. 1st edn Glendale, CA: Research Publishers LLC, 2005.
    1. The American Association for Public Opinion Research. Standard definitions: final disposition of case codes and outcome rates in surveys. 7th edn 2011.
    1. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand 1983;67:361–70. 10.1111/j.1600-0447.1983.tb09716.x
    1. Thomas R. Income. A question bank topic commentary. Surrey. UK: University of Surrey, 1999.
    1. Office for National Statistics, ed. Standard occupational classification 2000 (SOC 2000). London: Stationery Office, 2000.
    1. Office for National Statistics, ed. National statistics socio-economic classification (NS-SEC 2002). London: Stationery Office, 2002.
    1. Woods MD, Kirk MD, Agarwal MS et al. . Vulnerable groups and access to health care: a critical interpretive review. Report for the National Co-ordinating Centre for NHS Service Delivery and Organisation R & D (NCCSDO) 2005;27.
    1. Paskins Z, Sanders T, Hassell AB. Comparison of patient experiences of the osteoarthritis consultation with GP attitudes and beliefs to OA: a narrative review. BMC Fam Pract 2014;15:46 10.1186/1471-2296-15-46
    1. McHugh GA, Silman AJ, Luker KA. Quality of care for people with osteoarthritis: a qualitative study. J Clin Nurs 2007;16:168–76. 10.1111/j.1365-2702.2007.01885.x
    1. Ackerman IN, Buchbinder R, Osborne RH. Factors limiting participation in arthritis self-management programmes: an exploration of barriers and patient preferences within a randomized controlled trial. Rheumatology (Oxford) 2013;52:472–9. 10.1093/rheumatology/kes295
    1. Marshall D, Bridges JF, Hauber B et al. . Conjoint analysis applications in health—how are studies being designed and reported?: an update on current practice in the published literature between 2005 and 2008. Patient 2010;3:249–56. 10.2165/11539650-000000000-00000
    1. Hiligsmann M, van Durme C, Geusens P et al. . Nominal group technique to select attributes for discrete choice experiments: an example for drug treatment choice in osteoporosis. Patient Prefer Adherence 2013;7:133–9. 10.2147/PPA.S38408
    1. Dziedzic KS, Healey EL, Porcheret M et al. . Implementing the NICE osteoarthritis guidelines: a mixed methods study and cluster randomised trial of a model osteoarthritis consultation in primary care—the Management of OsteoArthritis In Consultations (MOSAICS) study protocol. Implement Sci 2014;9:95 10.1186/s13012-014-0095-y

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