Abstract
Summary
The validity of self-reported osteoporosis is often questioned, but validation studies are lacking. We validated self-reported prevalence and incidence of osteoporosis against self-reported and administrative data on medications. The concurrent validity was moderate to good for self-reported prevalent osteoporosis, but only poor to moderate for self-reported incident osteoporosis in mid-age and older women, respectively. Construct validity was acceptable for self-reported prevalent but not for incident osteoporosis.
Introduction
The validity of self-reported osteoporosis is often questioned, but validation studies are lacking. The aim was to examine the validity of self-reported prevalence and incidence of osteoporosis against self-reported and administrative data on medications.
Methods
Data were from mid-age (56–61 years in 2007) and older (79–84 years in 2005) participants in the Australian Longitudinal Study on Women’s Health. Self-reported diagnosis was compared with medication information from (1) self-report (n mid = 10,509 and n old = 7,072), and (2) pharmaceutical prescription reimbursement claims (n mid = 6,632 and n old = 4,668). Concurrent validity of self-report was examined by calculating agreement, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Construct validity was tested by examining associations of self-reported diagnosis with osteoporosis-related characteristics (fracture, weight, bodily pain, back pain, and physical functioning).
Results
Agreement, sensitivity and PPV of self-reported prevalent diagnosis were higher when compared with medication claims (mid-age women: kappa = 0.51, 95% confidence interval [CI] = 0.46–0.56; older women: kappa = 0.65, 95% CI = 0.63–0.68) than with self-reported medication (mid-age women: kappa = 0.41, 95% CI = 0.37–0.45; older women: kappa = 0.57, 95% CI = 0.55–0.59). Sensitivity, PPV and agreement were lower for self-reported incident diagnosis (mid-age women: kappa = 0.39, 95% CI = 0.32–0.47; older women: kappa = 0.55, 95% CI = 0.51–0.61). Statistically significant associations between self-reported diagnosis and at least four of five characteristics were found for prevalent diagnosis in both age groups and for incident diagnosis in older women.
Conclusions
The concurrent validity was moderate to good for self-reported prevalent osteoporosis, but only poor to moderate for self-reported incident osteoporosis in mid-age and older women, respectively. Construct validity was acceptable for self-reported prevalent but not for incident osteoporosis.
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References
World Health Organization Study Group (1994) Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Report of a WHO Study Group. World Health Organ Tech Rep Ser 843:1–129
Australian Institute of Health and Welfare (2011) A snapshot of osteoporosis in Australia 2011, Arthritis series. Australian Insitute of Health and Welfare: Department of Health and Ageing, Canberra
Landfeldt E, Strom O, Robbins S, Borgstrom F (2012) Adherence to treatment of primary osteoporosis and its association to fractures—the Swedish Adherence Register Analysis (SARA). Osteoporos Int 23:433–443. doi:10.1007/s00198-011-1549-6
Vavken P, Dorotka R (2011) Burden of musculoskeletal disease and its determination by urbanicity, socioeconomic status, age, and sex: results from 14,507 subjects. Arthritis Care Res (Hoboken) 63:1558–1564. doi:10.1002/acr.20558
Cadarette SM, Beaton DE, Gignac MA, Jaglal SB, Dickson L, Hawker GA (2007) Minimal error in self-report of having had DXA, but self-report of its results was poor. J Clin Epidemiol 60:1306–1311. doi:S0895-4356(07)00071-6
Simpson CF, Boyd CM, Carlson MC, Griswold ME, Guralnik JM, Fried LP (2004) Agreement between self-report of disease diagnoses and medical record validation in disabled older women: factors that modify agreement. J Am Geriatr Soc 52:123–127. doi:52021
Kriegsman DM, Penninx BW, van Eijk JT, Boeke AJ, Deeg DJ (1996) Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly. A study on the accuracy of patients' self-reports and on determinants of inaccuracy. J Clin Epidemiol 49:1407–1417. doi:S0895-4356(96)00274-0
Oksanen T, Kivimaki M, Pentti J, Virtanen M, Klaukka T, Vahtera J (2010) Self-report as an indicator of incident disease. Ann Epidemiol 20:547–554. doi:S1047-2797(10)00074-8
Pharmaceutical Benefits Scheme (2011). Australian Government: Department of Health and Ageing. http://www.pbs.gov.au/pbs/home. Accessed October 2011
Lee C, Dobson AJ, Brown WJ, Bryson L, Byles J, Warner-Smith P, Young AF (2005) Cohort profile: the Australian Longitudinal Study on women's health. Int J Epidemiol 34:987–991. doi:dyi098
The Royal Australian College of General Practitioners (2010) Clinical guideline for the prevention and treatment of osteoporosis in postmenopausal women and older men. In Royal Australian College of General Practitioners, Victoria
McCallum J (1995) The SF-36 in an Australian sample: validating a new, generic health status measure. Aust J Public Health 19:160–166
McHorney CA, Ware JE Jr, Raczek AE (1993) The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care 31:247–263
Davison KS, Siminoski K, Chik C, Jen H, Warshawski R, Lee K (2003) Impact of height loss due to vertebral fractures on body mass index. J Bone Miner Res 18:S243
Jin YP, Di Legge S, Ostbye T, Feightner JW, Saposnik G, Hachinski V (2010) Is stroke history reliably reported by elderly with cognitive impairment? A community-based study. Neuroepidemiology 35:215–220. doi:000315484
Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures. Lancet 359:1761–1767. doi:S0140-6736(02)08657-9
Brennan SL, Pasco JA, Cicuttini FM, Henry MJ, Kotowicz MA, Nicholson GC, Wluka AE (2011) Bone mineral density is cross sectionally associated with cartilage volume in healthy, asymptomatic adult females: Geelong Osteoporosis Study. Bone, doi: S8756-3282(11)01056-8
David C, Confavreux CB, Mehsen N, Paccou J, Leboime A, Legrand E (2010) Severity of osteoporosis: what is the impact of co-morbidities? Jt Bone Spine 77(Suppl 2):S103–S106. doi:S1297-319X(10)70003-8
Gold DT, Solimeo S (2006) Osteoporosis and depression: a historical perspective. Curr Osteoporos Rep 4:134–139
Holmberg AH, Johnell O, Nilsson PM, Nilsson JA, Berglund G, Akesson K (2005) Risk factors for hip fractures in a middle-aged population: a study of 33,000 men and women. Osteoporos Int 16:2185–2194. doi:10.1007/s00198-005-2006-1
Jablonska B, Soares JJ, Sundin O (2006) Pain among women: associations with socio-economic and work conditions. Eur J Pain 10:435–447. doi:S1090-3801(05)00079-0
Gott M, Barnes S, Parker C, Payne S, Seamark D, Gariballa S, Small N (2006) Predictors of the quality of life of older people with heart failure recruited from primary care. Age Ageing 35:172–177. doi:35/2/172
Zhu K, Devine A, Dick IM, Prince RL (2007) Association of back pain frequency with mortality, coronary heart events, mobility, and quality of life in elderly women. Spine (Phila Pa 1976) 32:2012–2018. doi:10.1097/BRS.0b013e318133fb82
Radloff LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 3:385–401
Andresen EM, Malmgren JA, Carter WB, Patrick DL (1994) Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). Am J Prev Med 10:77–84
Goldberg D, Bridges K, Duncan-Jones P, Grayson D (1988) Detecting anxiety and depression in general medical settings. BMJ 297:897–899
Reichenheim ME (2004) Confidence intervals for the kappa statistic. Stata J 4:421–428
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174
Pouilles JM, Tremollieres FA, Ribot C (2006) Osteoporosis in otherwise healthy perimenopausal and early postmenopausal women: physical and biochemical characteristics. Osteoporos Int 17:193–200. doi:10.1007/s00198-005-1954-9
Lips P, van Schoor NM (2005) Quality of life in patients with osteoporosis. Osteoporos Int 16:447–455. doi:10.1007/s00198-004-1762-7
Cao JJ (2011) Effects of obesity on bone metabolism. J Orthop Surg Res 6:30. doi:1749-799X-6-30
Kroger H, Tuppurainen M, Honkanen R, Alhava E, Saarikoski S (1994) Bone mineral density and risk factors for osteoporosis–a population-based study of 1600 perimenopausal women. Calcif Tissue Int 55:1–57
Huang C, Ross PD, Wasnich RD (1996) Vertebral fracture and other predictors of physical impairment and health care utilization. Arch Intern Med 156:2469–2475
Eisman J, Clapham S, Kehoe L (2004) Osteoporosis prevalence and levels of treatment in primary care: the Australian BoneCare Study. J Bone Miner Res 19:1969–1975. doi:10.1359/JBMR.040905
Dargent-Molina P, Poitiers F, Breart G (2000) In elderly women weight is the best predictor of a very low bone mineral density: evidence from the EPIDOS study. Osteoporos Int 11:881–888
Black DM, Steinbuch M, Palermo L, Dargent-Molina P, Lindsay R, Hoseyni MS, Johnell O (2001) An assessment tool for predicting fracture risk in postmenopausal women. Osteoporos Int 12:519–528
Terwee CB, Bot SD, de Boer MR, van der Windt DA, Knol DL, Dekker J, Bouter LM, de Vet HC (2007) Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol 60:34–42. doi:S0895-4356(06)00174-0
Ewald DP, Eisman JA, Ewald BD, Winzenberg TM, Seibel MJ, Ebeling PR, Flicker LA, Nash PT (2009) Population rates of bone densitometry use in Australia, 2001–2005, by sex and rural versus urban location. Med J Aust 190:126–128. doi:ewa10511_fm
Nguyen TV, Center JR, Eisman JA (2004) Osteoporosis: underrated, underdiagnosed and undertreated. Med J Aust 180:S18–S22. doi:ngu10420_fm
Henry MJ, Pasco JA, Nicholson GC, Kotowicz MA (2011) Prevalence of osteoporosis in Australian men and women: Geelong Osteoporosis Study. Med J Aust 195:321–322. doi:letters_190911_fm-2
Pasco JA, Seeman E, Henry MJ, Merriman EN, Nicholson GC, Kotowicz MA (2006) The population burden of fractures originates in women with osteopenia, not osteoporosis. Osteoporos Int 17:1404–1409. doi:10.1007/s00198-006-0135-9
Dennison EM, Syddall HE, Statham C, Aihie Sayer A, Cooper C (2006) Relationships between SF-36 health profile and bone mineral density: the Hertfordshire Cohort Study. Osteoporos Int 17:1435–1442. doi:10.1007/s00198-006-0151-9
Romagnoli E, Carnevale V, Nofroni I, D'Erasmo E, Paglia F, De Geronimo S, Pepe J, Raejntroph N, Maranghi M, Minisola S (2004) Quality of life in ambulatory postmenopausal women: the impact of reduced bone mineral density and subclinical vertebral fractures. Osteoporos Int 15:975–980. doi:10.1007/s00198-004-1633-2
Acknowledgments
The Australian Longitudinal Study on Women’s Health, which was conceived and developed by groups of interdisciplinary researchers at the Universities of Newcastle and Queensland, is funded by the Australian Government Department of Health and Ageing. The funding sources had no involvement in the research presented in this manuscript.
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Appendix
Appendix
Summary of indications for PBS benefits (more details can be found on http://www.pbs.gov.au/browse/body-system):
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1.
Treatment as the sole PBS-subsidised anti-resorptive agent for corticosteroid-induced osteoporosis in a patient currently on long-term (at least 3 months), high-dose (at least 7.5 mg/day prednisolone or equivalent) corticosteroid therapy with a BMD T-score of −1.5 or less
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2.
Treatment as the sole PBS-subsidised anti-resorptive agent for osteoporosis in a patient aged 70 years or older with a BMD T-score of −3.0 or less
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3.
Treatment as the sole PBS-subsidised anti-resorptive agent for established osteoporosis in patients with fracture due to minimal trauma
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4.
For preservation of BMD in patients on long-term glucocorticoid therapy where patients are undergoing continuous treatment with a dose equal to or greater than 7.5 mg of prednisone or equivalent per day. Prescribers need to demonstrate that the patient has been on continuous therapy for 3 months or more and demonstrate that the patient is osteopenic (bone mineral density T-score of less than −1.0)
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5.
One of following three indications:
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5.1.
Initial treatment, as the sole PBS-subsidised agent, by a specialist or consultant physician, for severe, established osteoporosis in a patient with a very high risk of fracture who:
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(a)
Has a bone mineral density (BMD) T-score of −3.0 or less; and
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(b)
Has had two or more fractures due to minimal trauma; and
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(c)
Has experienced at least one symptomatic new fracture after at least 12 months continuous therapy with an anti-resorptive agent at adequate doses
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5.2.
Initial treatment, as the sole PBS-subsidised agent, by a specialist or consultant physician, for severe, established osteoporosis in a patient with a very high risk of fracture who was receiving treatment with teriparatide prior to 1 May 2009
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5.3.
Continuing treatment for severe established osteoporosis where the patient has previously been issued with an authority prescription for this drug
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6.
Treatment for established osteoporosis in patients with fracture due to minimal trauma.
Additional notes:
Anti-resorptive agents in established osteoporosis include alendronate sodium, risedronate sodium, denosumab, disodium etidronate, raloxifene hydrochloride, strontium ranelate and zoledronic acid
Minimal trauma fractures must have been demonstrated radiologically and the year of plain X-ray or CT scan or MRI scan must be documented in the patient's medical records when treatment is initiated
A vertebral fracture is defined as a 20% or greater reduction in height of the anterior or mid portion of a vertebral body relative to the posterior height of that body, or, a 20% or greater reduction in any of these heights compared to the vertebral body above or below the affected vertebral body
SERM Selective Estrogen Receptor Modulator
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Peeters, G.M.E.E., Tett, S.E., Dobson, A.J. et al. Validity of self-reported osteoporosis in mid-age and older women. Osteoporos Int 24, 917–927 (2013). https://doi.org/10.1007/s00198-012-2033-7
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DOI: https://doi.org/10.1007/s00198-012-2033-7