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Objectives: The aging population is expected to increase the burden of osteoporosis on the US health-care system. We developed a methodology for estimating current and future costs of osteoporosis in state populations and applied it to Florida.
Methods: We used Florida hospital, population and mortality data, along with national data on outpatient and long-term care, to estimate the cost of osteoporotic fractures in the year 2000. For men and for “other” fractures in women, costs were based on the incidence of hospital admissions for fractures. For hip, spine, and wrist fractures in women, we integrated hospital and nonhospital fracture incidence in a Markov model of osteoporosis. Consecutive cohorts were run by race for each age, 50 to 99 years, to estimate the number and cost of incident fractures. Ongoing costs of prevalent fractures in women were estimated using postfracture health states for each individual age cohort. Total costs and fractures for the years 2001 through 2025 were projected by multiplying the base-year cost and fracture distribution by age-, sex-, and race-specific population growth rates.
Results: In Florida, 86,428 osteoporotic fractures were estimated to occur in the year 2000 at a cost of $1,238,445,114. By 2025, the estimated number of incident fractures would increase to 151,622, at a cost of $2,135,130,564.
Conclusions: This disease-modeling approach generates detailed information on the current and future cost burden of osteoporosis for an individual state popula-tion. Predictions based on this methodology may enable health-policy decisions that are tailored to local needs.
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The medical cost of osteoporosis and related fractures in the United States is estimated to range from $11.6 to $17.3 billion per year, adjusted to 2001 dollars [1–5]. Nevertheless, little is known about the cost of osteoporosis at the state level and the future impact of growth in the senior population. Local data may enhance planning and evaluation of interventions to manage the disease and control health-care expenditures. Nearly two-thirds of states have established osteoporosis education programs or task forces, and many state legislatures have mandated a needs assessment. Two states, Illinois and Pennsylvania, have published reports on hospital costs [6,7], and one journal article reports the burden of osteoporosis in California . To help states plan current and future resource allocation over the next 25 years, we developed a methodology that can be applied to individual states and used for comparisons among states. The objectives were to evaluate costs by site of service, age, and race group, as well as to predict cost increases and the impact of future demographic shifts.
Our approach was designed to address several challenges to researchers evaluating the epidemiology and costs associated with osteoporotic fractures. First, the widespread underdiagnosis of osteoporosis can result in gross underestimation of costs. Total costs are driven primarily by hip fractures; however, even for hip fracture, a diagnosis of osteoporosis is rarely indicated in hospital records [9,10]. Another cause of underestimation is the failure to capture long-term costs of fractures. In addition, the limited availability of state data on outpatient and long-term care (LTC) costs is an obstacle to assessing overall medical cost at the state level. Finally, lack of a standard methodology has precluded valid comparisons among states.
To address underdiagnosis of osteoporosis in men and women, we focused on fracture costs and used published attribution rates, rather than osteoporosis diagnosis codes, to determine the proportion of total fractures that are attributable to osteoporosis. These attribution rates are based on work by Melton et al.  using a Delphi process with a panel of physicians highly experienced in the treatment and diagnosis of osteoporosis. For women, we supplemented this approach with a Markov model that simulates the natural history of osteoporosis. Our application included a new method of capturing the fracture history of a specific population to determine costs of prevalent (pre-existing) as well as incident (new) fractures. We applied this methodology to the state of Florida, which has the nation's second largest senior population. The National Osteoporosis Foundation estimates that Florida has 3.01 million women and men with osteoporosis or osteopenia (low bone mineral density) in 2002, and prevalence will increase by 25% to 3.77 million in 2010 and by 56% to 4.72 million in 2020 .
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We developed a methodology to estimate the current and future burden of osteoporosis for a state population aged 50 years and older. Whenever possible, we used state-specific data, including age- and sex-specific population, mortality, and all-payer hospital discharge data. For both sexes and all fracture types, costs included Florida hospital costs and estimates of posthospital care based on Florida hospital discharge data and published national statistics. In addition, for hip, spine, and wrist fractures in women, the availability of overall fracture incidence data enabled use of a Markov state-transition model of osteoporosis to better estimate costs after both incident and prevalent fractures. Although our reliance on events linked to hospitalization underestimates the cost of fractures in men and other (nonhip, nonspine, nonwrist) fractures in women, this approach provides a total estimate of disease burden that is valuable to state policymakers [6,7]. Only medical costs and direct nonmedical costs, for example, transportation for long-term disability, were included in the analysis because data were unavailable to accurately assess indirect costs such as caregiver time, and lost work time is generally a minor cost for a senior population .
Description of the Model
The Markov state-transition model of osteoporosis simulates the natural history of osteoporosis in women beginning at the age of 50 years and continuing through the age of 99 years. In the model, a cohort is followed as it transitions from a healthy state to a healthy, fracture, or dead state, using 1-year cycles. Long-term consequences after a hip or spine fracture are captured using postfracture health states. Outcomes after hip fracture are assumed to dominate those associated with other types of fracture. Individuals are limited to two hip fractures per lifetime. This model was developed and validated using age-specific hip, spine, and wrist fracture data and age-specific mortality data for women in the United States, Canada, and Sweden .
The epidemiology inputs included population size, mortality rates, and fracture incidence rates. We used population data for the following race/ethnic groups, hereafter referred to as “race”: non-Hispanic white, non-Hispanic black, Hispanic white, Hispanic black, and other. Age-specific population data for men and women aged 50 through 99 years in Florida from 2000 through 2025 were obtained from a census publication , which accounted for all forms of in-migration, out-migration, and mortality. General population mortality rates for men and women aged 50 through 99 years in Florida were obtained from the Centers for Disease Control, National Center for Health Statistics . For the Markov model, age-specific excess mortality rates associated with hip fractures in women were obtained from a study conducted in the United Kingdom  because age-specific rates were not available for individual states or for the entire United States.
Florida hospital and population data were used to calculate incidence rates for hip and other fractures in men and women aged 50 through 99 years, as well as spine and wrist fractures in men . For hip fractures, hospital incidence represents overall incidence. For spine  and wrist  fractures in women, overall incidence includes hospital and nonhospital incidence rates that were obtained from an epidemiologic study conducted in Rochester, Minnesota. The spine fracture rates indicate total fractures that would be detected by radiograph. Because the Rochester population may not be representative of the racial mix in Florida, we evaluated alternative incidence rates by race in the sensitivity analysis. Table 1 summarizes fracture incidence rates for women by age group and race, before and after downward adjustment using Melton's osteoporosis attribution rates . Note that incidence rates by individual age were used in the analysis. The attribution rates were applied as follows: white rates for non-Hispanic whites and white Hispanics, black rates for non-Hispanic blacks and black Hispanics, and other rates for other race groups.
Table 1. Annual fracture incidence rates per 10,000 Florida women, by age and race group and fracture type
|White‡||Hip§||8.7|| 7.0|| 36.5|| 32.8||131.3||118.2|| 391.2|| 371.6|
|Spine??||59.3||47.4||166.2||149.6||309.2||278.2|| 447.0|| 424.7|
|Wrist¶||48.7||34.1|| 60.6|| 42.4|| 53.3|| 37.3|| 68.8|| 55.1|
|Black‡||Hip§|| 3.8|| 2.5|| 17.5|| 14.0|| 55.5|| 44.4|| 164.9|| 156.6|
|Spine??||57.9||37.7||161.2||129.0||306.2||245.0|| 447.0|| 402.3|
|Wrist¶||48.0||26.4|| 59.6|| 35.7|| 53.2|| 31.9|| 68.8|| 48.2|
|Hispanic♯||Hip§|| 4.9|| 3.8|| 25.3|| 22.6||115.1||103.0|| 330.6|| 314.1|
|Spine??||59.2||46.9||162.4||145.4||307.9||276.1|| 447.0|| 424.0|
|Wrist¶||48.7||33.7|| 59.8|| 41.6|| 53.2|| 37.1|| 68.8|| 54.9|
|Other‡||Hip§||16.8||12.6|| 45.0|| 38.3||369.5||314.1||1268.3||1204.8|
|Spine??||56.3||42.2||160.4||136.4||303.9||258.3|| 447.0|| 424.7|
|Wrist¶||47.0||28.2|| 59.4|| 41.6|| 53.0|| 37.1|| 68.8|| 48.2|
We used the 1998 Florida AHCA Inpatient Data File in estimating inpatient, outpatient, and LTC costs for men and women. We selected cases with a primary admission diagnosis of fracture on the discharge record (ICD-9 codes for closed hip fracture [733.14, 808.0x, 808.2x, 808.4x, 808.8x, 820.0x, 820.2x, 820.8x]; closed spine fracture without spinal cord injury [733.13, 805.0x, 805.2x, 805.4x, 805.8x], wrist fracture [733.12, 813.xx], or other fracture [733.1x and 800.xx−829.xx, excluding those for hip, spine, wrist]). For hip fractures, we also incorporated published estimates of the costs of acute inpatient physician services , hospital readmissions [20,21], and rehabilitation and short-stay hospitalization [20,21]. For spine fractures, costs for inpatient physician services were estimated using the physician service utilization profile from the literature  and the 2000 Medicare Fee Schedule.
In the Markov model, the mean inpatient costs for wrist fractures in women were multiplied by 0.10  to adjust overall fracture incidence rates for the low proportion of wrist-fracture patients who receive inpatient care. For spine fractures, a factor of 0.425 was applied to noninpatient costs [22,23] to reflect the proportion of radiographically detectable spine fractures that receive medical care. A larger reduction factor of 0.123 (= 0.29 × 0.425) was used for inpatient costs, based on an estimate that 29% of clinical spine fractures are admitted to inpatient hospitals [23,24]. For men, downward adjustments to spine and wrist fracture costs were unnecessary because these costs were based on inpatient hospital admissions.
Outpatient costs for hip and spine fractures included posthospitalization physician visits  and medical and nonmedical home care . For wrist and other fractures, outpatient costs were estimated by taking the national proportion of outpatient to inpatient costs  and multiplying by the corresponding mean Florida inpatient fracture costs.
The expected costs of LTC for hip fractures were derived by multiplying the probability of using LTC, estimated from Florida hospital discharge data, weighted by length of stay for partial and full-year stays [20,21], by the per diem cost of $124 [25,26]. National estimates for disability and dependency care costs  were summed together with LTC facility costs to create total expected LTC costs during the first year after a hip fracture. The ongoing costs for LTC and disability/dependency care after the first year were obtained from the literature . For nonhip fractures, a national proportion of LTC to inpatient care costs  by fracture type was multiplied by the respective mean fracture cost in Florida.
Table 2 shows expected unit costs for each fracture type by age and sex. A detailed description for hip fracture is provided in Appendix 1. All unit costs were converted into year 2000 terms using the Medical Care Component of the urban Consumer Price Index .
Table 2. Expected unit costs ($) for fractures, by sex and age
|Cost category||Age (years)|
| LTC, first year||8,992||13,387||15,501||15,526||7,772||10,559||13,630||13,715|
| LTC, years >1||4,323||4,323||4,323||4,323||—||—||—||—|
| Outpatient ||296||296||294||296||368||328||324||314|
| LTC, first year||115||118||101||115||1,048||660||617||527|
| LTC, years >1||115||118||101||115||—||—||—||—|
| Acute inpatient hospital||905||1,061||1,053||1,430||12,806||10,235||8,340||10,377|
| LTC, first year||203||238||236||320||2,869||2,293||1,868||2,325|
| Acute inpatient hospital||16,438||16,466||14,778||13,360||17,662||18,344||14,638||14,843|
| Outpatient ||2,823||2,828||2,538||2,295||3,304||3,149||2,514||2,549|
| LTC, first year||6,542||6,553||5,881||5,317||7,029||7,296||5,825||5,907|
Table Appendix1. Data Sources and Assumptions for Hip Fractures in Florida
|Cost category||Source||Assumptions and comments|
| Acute inpatient hospital||1998 FL AHCA Hospital Inpatient Data File*||Imposed high-cost outlier trim of $200,000. Reduced mean charges by 20% to reflect payer discounts and contractual adjustments. Included emergency department costs.|
| Acute inpatient physician services||1994 US OTA ||Reduced by 20% to reflect payer discounts.|
| Rehabilitation/ short-stay hospital||1998 NOF ||Assumed 12% of patients entered rehabilitation/short-stay hospital for average of 9 days within 1 year of event and mean cost $8561.|
| Readmit to acute inpatient hospital||1998 NOF ||Assumed 8% of patients readmitted to short-term acute hospital for average of 8 days within 1 year of event. Multiplied original hospital admission by 48.5% for age 50 to 64 years and 59% for age 65+ years.|
| Home care ||1998 NOF ||Assumed 30% probability of 6 months of care. Included cost of nursing services, rehab services, and DME at patient's home.|
| Nonmedical home care||1998 NOF ||Assumed 17% use by people with hip fractures. Included cost of social worker services, special transportation services, meal delivery, etc.|
| Posthospital/outpatient physician visits||1998 NOF ||Assumed eight visits after hospital discharge.|
| Other outpatient care||Ray et al. ||Outpatient hospital and “other” outpatient services (physical therapy, diagnostic radiology, medications, orthopedic and other supplies). Multiplied mean inpatient care costs by 1.8% (proportion of other outpatient to inpatient care costs).|
| LTC facility||1998 NOF  and 1998 FL AHCA||Multiplied discharge rates to Florida LTCF, by age group, by length of stay in LTC facility and cost per day based on annual cost of $45,260. Discharge rate (%) to LTCF for < 1-year or = 1-year stay:|
| || ||Discharge rate (%) to LTCF, by length of stay|
| || || ||Women||Men|
| || ||Age (years)||<1 year||=1 year||<1 year||=1 year|
| || ||50–64||21.0||10.5||20.4||10.2|
| || ||65–74||34.7||17.4||33.7||16.4|
| || ||75–84||41.6||20.8||38.6||19.3|
| || ||85+||45.6||22.8||43.1||21.5|
| Disability, long-term||1998 NOF ||Assumed 27% of people with hip fracture incurred disability costs such as DME and additional 28% had moderate disability costs (rehabilitation, nurses, nurses aides, social workers, home aides, special transportation, and meal delivery).|
Calculation of Base-Year Costs and 25-Year Projections
In the Base Year 2000, for men, the total cost of fractures was calculated based on the incidence of hospital admissions for all fracture types. For women, total cost was based on hospital incidents for hip and other fractures and based on overall fracture incidence rates, hospital and nonhospital, for wrist and spine fractures. Future costs and fractures for the years 2001 through 2025 were projected by multiplying the base-year cost and fracture distribution by the respective age-, sex-, and race-specific population growth rates. All projections were in real terms, reflected the cost structure in 2000, and assumed that the true rate of inflation was equal to the real rate of interest.
For women, the base year included costs of prevalent hip and spine fractures, which were estimated by an iterative process. For each race group, white, black, Hispanic white, Hispanic black, and other, we ran the Markov model 50 times, once for each age cohort 50 through 99 years of age. Incident fracture costs were obtained from the first year of follow-up, and disease history was simulated by tracking younger cohorts, up to a maximum of 25. For example, for the cohort of 65-year-old persons, the younger cohorts of 50- to 64-year-old persons were “aged up” to 65 years, and posthip and postspine fracture costs were determined for each of these cohorts at 65 years of age. Costs from previous fractures, which reflect age-specific mortality and fracture incidence rates, were averaged over the number of contributing cohorts.
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Fractures accounted for 43,520 admissions to Florida hospitals in 1998. After adjustment for osteoporosis attribution probabilities and elimination of high-cost outliers, osteoporotic fractures accounted for 32,255 admissions to Florida hospitals in 1998 (Table 3). Osteoporotic hip fractures resulted in approximately 68% of admissions, spine fractures in 12%, wrist fractures in 3%, and other fractures in 17%. These fractures accounted for 172,814 hospital bed days and nearly $574 million in hospital charges. Patients with hip fracture had a mean length of stay of 5.9 days, and 61% were discharged to a LTC facility. Patients with spine fracture had a mean length of stay of 4.7 days, and 42% were discharged to a LTC facility.
Table 3. Mean and total gross charges, hospital days, and percentage discharged to LTC for osteoporotic fractures in men and women aged 50 years and older, admitted to Florida hospitals during 1998 *
|Fracture type||Number of hospital admissions†||Hospital costs ($)||Length of stay (days)||Discharges to LTC facility (%)|
|Spine|| 3,991|| 8,992|| 5,806|| 35,707,626||4.7||2.9|| 18,743||42|
|Wrist|| 1,044||12,136|| 6,121|| 12,522,002||2.9||1.7|| 3,024||24|
|Other|| 5,394||14,707||10,000|| 77,952,650||4.3||3.3|| 23,536||38|
The projected total medical cost of osteoporosis in 2000 was nearly $1.24 billion (Table 4). People aged 50 to 64 years represented approximately 8% of total medical costs, those aged 65 to 74 years accounted for 16%, those aged 75 to 84 years comprised 36%, and those aged 85 years and older accounted for 39%. Inpatient costs made up the majority of the total costs ($689.2 million [56%]), followed by LTC ($452.8 million [37%]) and outpatient care ($96.4 million [8%]). Across age groups, the proportion of costs as a result of outpatient care was nearly equivalent (8%), whereas LTC appeared to represent a higher share of total costs among older patients. Specifically, LTC comprised 24% of costs in the 50- to 64-year age group, 32% in the 65- to 74-year age group, 37% in the 75- to 84-year age group, and 41% in the 85-year-and-older age group.
Table 4. Distribution of costs of osteoporosis in Florida for 2000, by site of care and age group
|Age (years)||Cost ($) by site of medical care (% of total for each age group) ||Total|
|50–64|| 67,049,787 (67)|| 9,136,084 (9)|| 24,087,081 (24)|| 100,272,952 (100)|
|65–74||120,494,862 (60)||16,294,959 (8)|| 64,611,694 (32)|| 201,401,516 (100)|
|75–84||248,303,716 (55)||34,636,092 (8)||166,840,852 (37)|| 449,780,660 (100)|
|≥85||253,404,844 (52)||36,339,196 (7)||197,245,947 (41)|| 486,989,986 (100)|
|Total||689,253,209 (56)||96,406,332 (8)||452,785,573 (37)||1,238,445,114 (100)|
Total annual costs were projected to increase from the base year 2000 level of $1.24 billion to $1.54 billion (24%) in 2010 and $2.14 billion (72%) in 2025 (Table 5;Fig. 1). The total number of osteoporotic fractures was projected to increase from 86,428 in 2000, to 107,026 (24%) in 2010, and to 151,622 (75%) in 2025. Hip fracture events were projected to increase by almost 72% by 2025, and spine fractures by 77%. Although hip fractures comprised the majority of costs, spine fractures accounted for about 51% of all osteoporotic fractures. Spine fractures resulted in only 8% of total costs because most of these cases do not come to medical attention, and most of those that do receive medical care are treated in lower cost outpatient settings.
Table 5. Projected costs related to osteoporosis in Florida by fracture type, sex, and race
| ||Cost ($) and number of fractures [in brackets] (% change from base year)|
|Base year 2000||2005||2010||2025|
| Hip*||949,062,534||1,068,022,769 (12.5)||1,179,295,694 (24.3)||1,631,693,613 (71.9)|
|[24,004]|| [27,029] (12.6)||[29,842] (24.3)||[41,346] (72.2)|
| Spine*||100,202,676||110,769,217 (10.5)||122,834,236 (22.6)||176,939,783 (76.6)|
|[44,382]||[48,914] (10.2)||[54,045] (21.8)||[78,332] (76.5)|
| Wrist*||16,913,891||19,257,994 (13.9)||22,179,745 (31.1)||30,348,606 (79.4)|
|[11,086]||[12,584] (13.5)||[14,529] (31.1)||[20,056] (80.9)|
| Other*||172,266,013||191,755,265 (11.3)||213,115,445 (23.7)||296,148,562 (71.9)|
|[6,957]||[7,750] (11.4)||[8,609] (23.7)||[11,889] (70.9)|
| Total*||1,238,445,114||1,389,805,245 (12.2)||1,537,425,120 (24.1)||2,135,130,564 (72.4)|
|[86,428]||[96,276] (11.4)||[107,026] (23.8)||[151,622] (75.4)|
|Sex and race|
| Women†||927,086,951||1,045,311,217 (12.8)||1,159,506,256 (25.1)||1,606,233,515 (73.3)|
|[77,644]||[86,558] (11.5)||[96,361] (24.1)||[136,735] (76.1)|
| Men†||311,358,163||344,494,028 (10.6)||377,918,865 (21.4)||528,897,049 (69.9)|
|[8,784]||[9,718] (10.6)||[10,664] (21.4)||[14,887] (69.5)|
| White‡||1,082,874,008||1,185,093,818 (9.4)||1,270,473,814 (17.3)||1,587,007,133 (46.6)|
|[73,005]||[79,112] (8.4)||[85,183] (16.7)||[109,487] (50.0)|
| Black‡||34,618,806||41,359,370] (19.5)||49,497,401 (43.0)||82,870,548 (139.4)|
|[3,972]||[4,781] (20.4)||[5,777] (45.5)||[9,666] (143.4)|
| Hispanic‡||99,935,232||130,007,752 (30.1)||167,738,409 (67.8)||346,030,356 (246.3)|
|[8,350]||[10,693] (28.1)||[13,625] (63.2)||[26,973] (223.0)|
| Other‡||21,017,068||33,344,305 (58.7)||49,715,497 (136.5)||119,222,526 (467.3)|
|[1,102]||[1,690] (53.4)||[2,440] (121.4)||[5,496] (398.8)|
Women represented more than $927 million (75%) of the total annual medical care costs in 2000 and were projected to reach $1.6 billion in 2025. The costs for men were about $311 million in the base year and were predicted to be nearly $529 million by 2025. By race, whites had over 73,000 fractures for over $1 billion (87%) in 2000. By 2025, total fractures and costs for white persons increase by about 50%, but total share of the projected $2.1 billion cost falls to 74%. The “other” race group has the lowest share of the total cost (2%) in 2000 but shows the largest growth rate. Hispanic and black persons account for 8.1 and 2.8% of the base year costs, increasing to 16.2 and 3.9%, respectively, by 2025. For Hispanic persons in the age groups 65 years and older, hip fracture incidence rates are 69% to 88% of the rates in white persons (Table 1). Thus, both population growth and fracture incidence contribute to the predicted growth in total fractures and costs for Hispanic persons. Growth is most substantial after 2010, and by 2025 costs and fractures in Hispanic persons are predicted to increase 2.5-fold.
We assessed the impact on the base-case results from changes in unit costs, the true rate of inflation, and race-specific fracture incidence rates. For inpatient charges, the cost was reduced by 30% for the low-cost scenario and increased by 10% for the high-cost scenario. All other costs were reduced by 25% for the low-cost scenario and increased by 25% for the high-cost scenario, as is commonly done when measures of statistical variation are unavailable. The ranges in base-year total costs were $1.08 billion under the low-cost scenario to $1.39 billion under the high-cost scenario (Table 6). The low-to-high ranges in total cost were approximately $1.34 billion to $1.74 billion in 2010 and $1.87 billion to $2.41 billion in 2025. When 1% was used as the true rate of inflation and 3% was used as the real interest rate, costs were estimated to be $1.26 billion in 2010 and over $1.30 billion in 2025. When 5% was used as the true rate of inflation and 3% was used as the real interest rate, costs were estimated to be $1.86 billion in 2010 and $3.45 billion in 2025. Finally, we applied alternative incidence rates for spine and wrist fractures, according to race. Hip and other fracture incidence rates were not changed from the base case because these fracture incidence rates already are race-specific based on the estimates from Florida hospital data. An adjustment factor of 0.33 was applied to wrist fracture incidence rates for all nonwhite races [28,29], and for spine fractures multipliers of 0.25, 0.55, and 0.33 were used for black, Hispanic, and other race groups, respectively [30–32]. In this scenario, costs for 2000 were slightly lower versus the base case, $1.230 billion versus $1.238 billion, as was total cost growth over time. In summary, the base-case results were generally robust when subjected to alternative values for key parameters. As expected, the long-term projections were most sensitive to changes in the true rate of inflation.
Table 6. Sensitivity analysis of total costs of osteoporosis in Florida for 2000, 2005, 2010, and 2025, using low and high unit costs, low and high true rate of inflation, and race-specific fracture incidence rates
| i= 1%; r= 3%||1,238,445,114||1,260,012,030||1,263,675,203||1,307,760,346|
| i= 5%; r= 3%||1,238,445,114||1,530,080,633||1,863,437,008||3,453,236,292|
|Race-specific fracture incidence rates†||1,230,978,859||1,380,349,030||1,525,505,703||2,112,586,120|
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We developed a general methodology to estimate the number of osteoporotic fractures and associated medical costs for a given state population. A Markov model of osteoporosis was used to create cost estimates for hip, spine, and wrist fractures in women. We combined these results with costs for other fractures in women and all fractures in men based on inpatient hospital admissions to yield total population costs for 2000 through 2025. The model's flexible input design enabled us to take advantage of data available in an individual state and supplement with national data as needed. This methodology contrasts with a “top-down” accounting approach where the cost burden for an individual state is derived from national figures, failing to account for variations in population distribution by age, sex, and race, and medical practice patterns among states.
Our methodology has the advantage of applicability across states, providing a standardized study design that facilitates interstate comparisons. In contrast, three earlier studies of state inpatient databases each took a different approach to identify-ing osteoporosis-related admissions and costs. The Illinois Department of Public Health selected patients with a principal diagnosis of osteoporosis or pertinent fracture but included wrist or spine fractures only if there was a secondary diagnosis of osteoporosis . The Pennsylvania Health Care Cost Containment Council (PHC4) studied only patients with a diagnosis of osteoporosis . The California study included both patients with a diagnosis of osteoporosis and those with fractures attributable to osteoporosis . The ICD-9 codes used to select fracture cases also differed across these studies. As a result, the Pennsylvania study  found hip fractures to comprise only 21% of osteoporosis-related hospital admissions compared with 78% in Illinois , 48% in California , and 68% in our analysis of Florida data. Conversely, the Illinois study  found wrist and spine fractures to comprise less than 2% of osteoporosis-related hospitalizations compared to more than 26% in Pennsylvania , 11% in California , and 16% in Florida. Although demographics and health-care practices may contribute to interstate variation in osteoporosis-related hospital admissions, methodologic differences probably account for the wide range in these results.
We found that hospitalization contributed more than half of total medical costs in Florida in 2000, with hip fractures driving those expenditures. The distribution of cost by site of service was 56% for inpatient, 8% for outpatient, and 37% for LTC. These proportions are similar to national estimates by Ray et al.  of 62%, 9%, and 28%, using 1992 hospital data and 1985 LTC facility data. The lower inpatient share and higher LTC share in Florida may reflect changes in practice patterns over the past decade. Hospitals have had strong incentives to minimize hospital days and discharge patients to skilled LTC facilities or other types of follow-up care. Shen et al.  reported a steady decrease in average length of stay for osteoporosis-related hospitalizations in Illinois from 1992 (10.1 days) through 1995 (7.4 days), along with an increase in discharges to LTC facilities. In California, Max et al.  found that LTC facilities represented the majority (59%) of total costs in 1998. Inpatient and outpatient care, including home health, each contributed approximately 20% of total costs. These relatively high LTC and outpatient costs might be explained in part by California's managed care environment. However, Max et al.  derived these costs from national data sources such as the 1996 Medical Expenditure Panel Survey and the 1997 National Nursing Home Survey, rather than California data. Further research is needed to evaluate differences in databases and their implications for osteoporosis costs.
This analysis may underestimate total costs and fractures as a result of several limitations and conservative assumptions. First, only costs of medical care and direct nonmedical care were included in our analysis. Costs of unpaid caregiver time, for example, were not estimated. Second, the analysis excluded individuals less than 50 years of age, although glucocorticoid-induced osteoporosis often occurs in younger age groups. Third, inpatient costs were based only on hospital cases with fractures as a primary diagnosis. Recent research on comorbid costs of spine fractures, as secondary diagnoses, suggests that hospital stays are extended by 2 to 3 days [33,34]. In the study by Max et al. , more than 22% of total hospital costs were derived from excess costs of osteoporosis as a secondary diagnosis. Fourth, our analysis did not fully capture costs of osteoporosis that were not driven by fractures, such as LTC facility admissions owing to frailty, kyphosis, or pressure on other organs. Fifth, the use of constant relative resource prices over time represents an extremely conservative assumption because medical care costs have been growing faster than the economy-wide rate of inflation for several decades. On the other hand, in our base case analysis, we applied a cost-to-charge-ratio (CCR) of 0.8, for example, a 20% discount, to inpatient hospital charges. The use of a lower CCR would lead to lower unit costs of fractures. We attempted to address the uncertainty around all unit cost inputs through our sensitivity analyses. Furthermore, our methodology can easily accommodate newer or more precise unit cost estimates as they become available.
An important limitation is the method of estimating other fractures and all fractures in men. The Markov model was not used for these fracture events because we lacked overall incidence data. Our cost data represent only current year costs for incident fracture events that were related to an inpatient hospital episode. Most spine and wrist fractures do not result in a hospital admission; but many do require medical attention such as physician visits, medical supplies, and drugs. Thus, the total number and costs of these fractures in men are clearly underestimated. Another limitation of this analysis is the combined use of Florida and national data and the accompanying assumptions for estimating the costs per fracture type. Our description of hospital fracture admissions and discharges to LTC begins to elucidate how the cost structure and osteoporosis practice patterns in Florida differ from the rest of the nation.
The authors thank the anonymous reviewers for their valuable comments. We also thank Gayle Nicholas Scott, PharmD, and Cindy W. Hamilton, PharmD, for assistance in drafting the manuscript.
Procter & Gamble Pharmaceuticals funded this project.